diff --git a/CLAUDE.md b/CLAUDE.md
index 9721ef752..9ca728afc 100644
--- a/CLAUDE.md
+++ b/CLAUDE.md
@@ -79,6 +79,7 @@ When modifying any component, check if other components need corresponding updat
 | Feedback Assessor | Fix Loop | Terminal hat in `fix_hats` that independently decides closure — `plugin/studios/{name}/stages/{stage}/hats/feedback-assessor.md` | orchestrator.ts |
 | Studio Review Agent | Intent-Completion Review | `plugin/studios/{name}/intent-review-agents/{agent}.md` (NOT per-stage). Walked by the cursor's intent-completion walk: `intentReviewRoles(mode, studioAgents)` appends each `intent-review-agents/*.md` after the engine roles (spec, continuity, cross-stage-consistency), deduped against them, before the terminal `user` gate; `intent_review/index.ts` resolves the mandate body via `readStudioReviewAgentPaths`. (Pre-2026-05-21 the append was severed — only `cross-stage-consistency`, promoted to an engine role, fired; `runtime-verifier` silently never ran at intent completion. The drift fix restored the general append.) Resolved by a TWO-tier cascade (2026-05-21): a GLOBAL tier at `plugin/intent-review-agents/*.md` (sibling of `studios/`, same shape as global `hats/`/`review-agents/`) is read first, then the per-studio `plugin/studios/{name}/intent-review-agents/*.md` overrides by agent name; project `.haiku/` overrides plugin at each tier. `delivery-verifier` lives at the global tier so EVERY studio runs it; software additionally ships `runtime-verifier` (drives the integrated app) + `cross-stage-consistency`. Opt out with `intent_completion_review: false` on intent frontmatter. Directory was renamed from `review-agents/` 2026-05-18 to free the studio-tier slot in the stage-review cascade | cursor.ts (`intentReviewRoles`, `walkIntentTrack`), `intent_review/index.ts`, `readStudioReviewAgentPaths` |
 | Delivery Verifier | Intent-Completion Review | `plugin/intent-review-agents/delivery-verifier.md` — the GLOBAL-tier intent-review-agent, so **every studio** runs it at intent close (2026-05-21; was software-only). Confirms the intent is *deliverable*: waits for the delivery PR's CI to settle (`gh pr checks --watch`), files one intent-scope FB per failure (concrete: failing check + command + error + file), AND checks that CI is *meaningful* not just green — it reads the intent's quality-gate union (`haiku_unit_list` + `haiku_unit_get { field: "quality_gates" }`) as the reference set and files a finding when a declared gate isn't run by any CI job, when a green check is a no-op (`exit 0` / "0 tests" / never-triggered conditional), or when code shipped to a remote with no pipeline enforcing the work's own bar. Also reads/replies-to/resolves the PR review conversation. Signs off only when CI is green AND meaningful AND the PR is **mergeable** (not draft, no conflicts — `gh pr view --json isDraft,mergeable`) AND no actionable review thread is open; otherwise findings drive the studio fix-hat loop and it re-audits until clean. **Provider-agnostic by design — assumes NO authed CLI/provider** (2026-05-25): (1) it FIRST checks the provider-free merge signal via local git — if `haiku/<intent>/main` is already an ancestor of mainline (`git merge-base --is-ancestor`), the host's branch protection already gated CI+review, so the merge IS proof → sign off; (2) no remote at all → genuine SKIP; (3) remote + PR exists + provider access → verify as above; (4) remote + unmerged + NO provider access (no/unauthed CLI) → it is **blind to a gate that exists**, which is NOT a SKIP — it files ONE `severity: medium` intent FB escalating to the human (confirm CI green + merge, or grant CLI access) that HOLDS the `delivery-verifier` stamp (open invalidating FB → `dispatch-stamps.ts` skips the stamp) WITHOUT spinning the fix-hat loop (medium < fix threshold; a fixer can't authenticate a CLI), and re-audits via merge-proof / live-CI on the next pass. Never a silent false-green seal on an unverifiable delivery. Carries the `PR_INTERACTION_ROLES` scope carve-out (may mutate the PR via `gh`/`glab` — reply + resolve — but never edits source; code fixes flow through findings). Independent of `runtime-verifier` (boots-locally ≠ CI-green) | delivery-verifier.md, `_shared/index.ts` (`PR_INTERACTION_ROLES`), `intent_review/subagent.eta.md` |
+| Pending seal (terminal hold) | Quality Enforcement | An intent is NOT sealed (terminal write-lock `sealed_at`) until its work has landed on the repo's default branch. After every intent-scope approval is signed and reflection is done, the cursor's terminal gate checks `intentDeliveryState(slug)` (squash-merge-aware `isBranchMerged(haiku/<slug>/main, getMainlineBranch())`): if the hub branch is NOT an ancestor of the default branch it emits `pending_seal` and HOLDS — `sealed_at` stays null and the engine NEVER merges (honors "never merge unless asked"); the next tick re-checks and seals once the merge lands (local merge OR merged PR/MR both count). Inapplicable in filesystem mode / when no default branch resolves / when already merged → seals immediately as before. On `/haiku:haiku-pickup` of a held intent, `haiku_run_next` re-opens the `PR_INTERACTION_ROLES` approvals (`delivery-verifier`) so it re-audits the open change request and files feedback for any new review comments before sealing — honors cascade overrides (keyed on the role-class set, not a hardcoded name). Surfaced as derived status `pending_seal` on `haiku_intent_list`, `current_state.seal_status` + `awaiting_merge_into` on the SPA wire (rendered by `IntentCompleteView`), the `pending_seal` statusline phase, and the architecture-map post-intent card. NOT surfaced in `haiku_capacity` (throughput report stays sealed_at-only: held intents count as in-flight) | orchestrator/workflow/intent-delivery.ts, orchestrator/workflow/cursor.ts (terminal gate + `pending_seal` action), tools/orchestrator/haiku_run_next.ts (pickup re-open), prompts/intent/seal/pending_seal, current-state.ts, statusline/{state,render}.ts |
 | Pre-tick clean-tree gate | Quality Enforcement | `haiku_run_next` blocks the tick when the working tree has uncommitted work OUTSIDE the engine's `.haiku/` bookkeeping and returns `dirty_tree_blocking_tick`, telling the agent to commit its own work with logical, story-telling messages (the engine no longer authors the agent's commits under a generic "wip" message). Runs after the mid-merge detector. Engine-owned `.haiku/` writes stay the engine's job (committed at lifecycle points; `autoCommitDirtyTree` fallbacks cover mid-merge edges). Classifier: `uncommittedAgentWork()`. Paired with the end-of-tick auto-push (active stage branch, or intent main during the completion phase) so CI + the delivery PR stay current | git-worktree.ts (`uncommittedAgentWork`, auto-push), tools/orchestrator/haiku_run_next.ts |
 | Studio Fix Hat | Intent-Completion Review | Two-tier cascade (global → studio, more-specific wins; project `.haiku/` overrides plugin at each tier): `plugin/fix-hats/{hat}.md` → `plugin/studios/{name}/fix-hats/{hat}.md`. NOT per-stage. Dispatched against intent-scope feedback. The shared `validator` (terminal fix verifier) and `reconciler` (cross-stage alignment) live at the GLOBAL tier so every studio inherits ONE copy; a studio drops a same-named file to override (e.g. `hwdev` ships a hardware-specific `reconciler`). Chain ORDER comes from `resolveStudioFixHats` (STUDIO.md `fix_hats:` if declared, else alphabetical over the cascade) — the SAME ordered source the cursor, `haiku_feedback_advance_hat`, and `_reject_hat` all use | orchestrator.ts (`intent_completion_fix` action), studio.ts (`resolveStudioFixHats`), studio-reader.ts (`readStudioFixHatPaths`/`readStudioFixHatDefs`, `fixHatDirCascade`) |
 | Feedback Triage | Quality Enforcement | `triaged_at:` on feedback frontmatter — pre-tick gate (`feedback-triage-gate.ts`) classifies open FBs before any handler dispatch; cross-stage findings are relocated via `haiku_feedback_move` rather than carrying a stage hint | state-tools.ts, orchestrator/workflow/feedback-triage-gate.ts |
diff --git a/packages/haiku-api/src/schemas/session.ts b/packages/haiku-api/src/schemas/session.ts
index bc1605a83..dae6e0338 100644
--- a/packages/haiku-api/src/schemas/session.ts
+++ b/packages/haiku-api/src/schemas/session.ts
@@ -249,6 +249,17 @@ export const IntentCurrentStateSchema = z
 		 *  `milestones.length` when every milestone is done. */
 		progress_index: z.number().int().nonnegative().optional(),
 		progress_total: z.number().int().nonnegative().optional(),
+		/** Terminal seal state — present only once every stage has merged
+		 *  (the intent is past all stages). `"sealed"` once the terminal
+		 *  write-lock is stamped; `"pending_seal"` when the work is built,
+		 *  signed, and reflected but its hub branch hasn't yet landed on the
+		 *  repo's default branch (held awaiting merge — the engine never
+		 *  merges; the human or the host does). Omitted while any stage is
+		 *  still in flight. */
+		seal_status: z.enum(["sealed", "pending_seal"]).optional(),
+		/** When `seal_status === "pending_seal"`, the default branch the work
+		 *  is waiting to land on (e.g. `main`). */
+		awaiting_merge_into: z.string().optional(),
 	})
 	.describe(
 		"Unified current-state snapshot — derived fresh per request from per-unit frontmatter and branch-merge state. The single source of truth for 'where is this intent right now?'.",
diff --git a/packages/haiku-ui/budget.json b/packages/haiku-ui/budget.json
index 1aeef4bb7..baf7820be 100644
--- a/packages/haiku-ui/budget.json
+++ b/packages/haiku-ui/budget.json
@@ -1,6 +1,6 @@
 {
   "bundleGzipMaxBytes": 1048576,
-  "lastKnownGzipBytes": 857047,
+  "lastKnownGzipBytes": 857277,
   "notes": [
     "Pre-move bundle measured at 929.8 KB gzipped (inlined HTML blob at stages/development/artifacts/bundle-baseline.html). Post-move blob was 884.9 KB gzipped (-44.8 KB from pre-move relocation).",
     "FB-21: vite.config.ts had `minify: false`, shipping a ~919 KB un-minified inlined SPA. Flipping to `minify: \"esbuild\"` (Vite default) dropped the inlined gzipped size to 693 KB (-24.6% / ~220 KB saved) with no bundle-shape changes — single inline HTML blob still required by the MCP embedder.",
diff --git a/packages/haiku-ui/src/pages/review/IntentCompleteView.tsx b/packages/haiku-ui/src/pages/review/IntentCompleteView.tsx
index ee9ccc8b5..bcbe5e2fe 100644
--- a/packages/haiku-ui/src/pages/review/IntentCompleteView.tsx
+++ b/packages/haiku-ui/src/pages/review/IntentCompleteView.tsx
@@ -56,6 +56,16 @@ export interface IntentCompleteViewProps {
 	 *  explicit URL — common when the user opens the PR via `gh pr
 	 *  create` or the GitHub UI directly. */
 	discoveredReviewUrl?: DiscoveredReviewUrl | null
+	/** Terminal seal state from the cursor (`current_state.seal_status`).
+	 *  `"sealed"` → the work landed on the default branch and the intent is
+	 *  write-locked. `"pending_seal"` → built + signed + reflected but the
+	 *  hub branch hasn't merged into the default branch yet, so the intent
+	 *  is HELD (the engine never merges; the human/host does). Null on older
+	 *  payloads → fall back to the deprecated `status` frontmatter shim. */
+	sealStatus?: "sealed" | "pending_seal" | null
+	/** When `sealStatus === "pending_seal"`, the default branch the work is
+	 *  waiting to land on (e.g. `main`). */
+	awaitingMergeInto?: string | null
 	/** Output artifacts across every stage. Surfaced as a click-out
 	 *  list at the final intent gate so reviewers can walk through
 	 *  the deliverables before approving the merge. */
@@ -84,6 +94,8 @@ export function IntentCompleteView({
 	stageOrder,
 	deliveryReviewUrl,
 	discoveredReviewUrl,
+	sealStatus,
+	awaitingMergeInto,
 	outputArtifacts,
 	outputDeclaredBy,
 }: IntentCompleteViewProps): React.ReactElement {
@@ -104,11 +116,18 @@ export function IntentCompleteView({
 	)
 	const phase = (intentFrontmatter.phase as string | undefined) ?? ""
 	const status = intentFrontmatter.status ?? ""
-	const isFullyComplete = status === "completed"
-	const headlineLabel = isFullyComplete
+	// Prefer the cursor's authoritative seal_status; fall back to the
+	// deprecated v3 `status` shim only when the wire didn't carry it.
+	const isSealed =
+		sealStatus === "sealed" || (sealStatus == null && status === "completed")
+	const isPendingSeal = sealStatus === "pending_seal"
+	const headlineLabel = isSealed
 		? "Intent complete"
-		: "All stages reviewed"
+		: isPendingSeal
+			? "Pending seal"
+			: "All stages reviewed"
 	const intentMainBranch = `haiku/${intentSlug}/main`
+	const mergeTarget = awaitingMergeInto || "the repo's default branch"
 
 	return (
 		<div
@@ -117,7 +136,11 @@ export function IntentCompleteView({
 		>
 			<header className="rounded-lg border-2 border-teal-300 dark:border-teal-700 bg-teal-50 dark:bg-teal-900/20 px-6 py-5">
 				<div className="flex flex-wrap items-center gap-2 mb-2">
-					<span className="inline-flex items-center px-2.5 py-0.5 rounded-full text-xs font-bold uppercase tracking-wider bg-teal-700 text-white">
+					<span
+						className={`inline-flex items-center px-2.5 py-0.5 rounded-full text-xs font-bold uppercase tracking-wider text-white ${
+							isPendingSeal ? "bg-violet-600" : "bg-teal-700"
+						}`}
+					>
 						{headlineLabel}
 					</span>
 					{phase && (
@@ -141,13 +164,13 @@ export function IntentCompleteView({
 						.
 					</p>
 				)}
-				{!isFullyComplete && (
+				{!isSealed && (
 					<p className="text-sm text-stone-700 dark:text-stone-300 mt-2">
 						Awaiting merge of{" "}
-						<code className="font-mono">{intentMainBranch}</code> into the
-						repo's mainline. The merge is the only remaining action — no further{" "}
-						<code className="font-mono">haiku_run_next</code> tick needed to
-						seal.
+						<code className="font-mono">{intentMainBranch}</code> into{" "}
+						<code className="font-mono">{mergeTarget}</code>. The intent is built,
+						signed, and reflected — but it won't seal until that merge lands. The
+						engine never merges it for you; merging is the human/host's call.
 					</p>
 				)}
 			</header>
diff --git a/packages/haiku-ui/src/routes/review/$sessionId/route.tsx b/packages/haiku-ui/src/routes/review/$sessionId/route.tsx
index 3a0138220..fdc14c2d0 100644
--- a/packages/haiku-ui/src/routes/review/$sessionId/route.tsx
+++ b/packages/haiku-ui/src/routes/review/$sessionId/route.tsx
@@ -613,6 +613,10 @@ function ReviewLayoutLoaded({
 									stageOrder={stageNamesOrdered}
 									deliveryReviewUrl={deliveryReviewUrl}
 									discoveredReviewUrl={discoveredReviewUrl}
+									sealStatus={session.current_state?.seal_status ?? null}
+									awaitingMergeInto={
+										session.current_state?.awaiting_merge_into ?? null
+									}
 									outputArtifacts={session.output_artifacts}
 									outputDeclaredBy={session.output_declared_by}
 								/>
diff --git a/packages/haiku-ui/tests/__snapshots__/parity.spec.tsx.snap b/packages/haiku-ui/tests/__snapshots__/parity.spec.tsx.snap
index 89ec21d74..34ab7298e 100644
--- a/packages/haiku-ui/tests/__snapshots__/parity.spec.tsx.snap
+++ b/packages/haiku-ui/tests/__snapshots__/parity.spec.tsx.snap
@@ -4,4 +4,4 @@ exports[`DOM parity — rendered app matches committed snapshot per fixture > di
 
 exports[`DOM parity — rendered app matches committed snapshot per fixture > question session renders a stable DOM tree > dom-question.html 1`] = `"<a href="#main-content" class="sr-only focus-visible:not-sr-only focus-visible:fixed focus-visible:top-2 focus-visible:left-2 focus-visible:z-[100] focus-visible:px-3 focus-visible:py-2 focus-visible:bg-teal-700 focus-visible:text-white focus-visible:rounded-md focus-visible:ring-2 focus-visible:ring-teal-500 focus-visible:ring-offset-2 dark:focus-visible:ring-offset-stone-900 focus-visible:outline-none focus-visible:shadow-lg focus-visible:font-medium">Skip to main content</a><div class="min-h-screen flex flex-col bg-stone-50 dark:bg-stone-950 text-stone-900 dark:text-stone-100"><header class="shrink-0 z-40 bg-white/80 dark:bg-stone-900/80 backdrop-blur-sm border-b border-stone-200 dark:border-stone-800" role="banner"><div class="px-4 sm:px-6 py-3 flex items-center justify-between"><div class="flex items-center gap-3 min-w-0"><span class="text-base font-bold tracking-tight text-stone-900 dark:text-stone-100">H·AI·K·U</span><span class="text-stone-300 dark:text-stone-600">|</span><span class="text-sm font-medium text-stone-500 dark:text-stone-400">Question</span><span class="text-stone-300 dark:text-stone-600">/</span><span class="text-sm font-semibold text-stone-800 dark:text-stone-100 truncate">Which direction should we explore?</span></div><div class="flex items-center gap-2 shrink-0"><button type="button" aria-label="Toggle theme" title="Toggle theme" class="touch-target inline-flex items-center justify-center rounded-lg border border-stone-300 dark:border-stone-600 bg-white dark:bg-stone-900 hover:bg-stone-100 dark:hover:bg-stone-800 transition-colors focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-teal-500 focus-visible:ring-offset-2 dark:focus-visible:ring-offset-stone-900"><span aria-hidden="true" class="text-base leading-none">☀</span></button></div></div></header><main class="flex-1 min-w-0 overflow-y-auto" id="main-content" role="main" aria-label="Question content" tabindex="-1"><div class="max-w-[var(--content-max)] mx-auto px-4 sm:px-6 lg:px-8 py-6 space-y-4"><div class="bg-white dark:bg-stone-900 rounded-xl border border-stone-200 dark:border-stone-700 shadow-sm p-6 mb-6 "><h2 class="text-lg font-semibold mb-3 text-stone-900 dark:text-stone-100">Context</h2><div id="question-context" class="prose prose-sm prose-stone dark:prose-invert max-w-none min-w-0 [overflow-wrap:anywhere] prose-code:bg-stone-100 prose-code:dark:bg-stone-800 prose-code:px-1 prose-code:py-0.5 prose-code:rounded prose-code:text-sm prose-code:[overflow-wrap:anywhere] prose-pre:bg-stone-100 prose-pre:dark:bg-stone-800 prose-pre:rounded-lg prose-pre:overflow-x-auto prose-pre:max-w-full prose-pre:whitespace-pre-wrap prose-table:border-collapse prose-th:border prose-th:border-stone-300 prose-th:dark:border-stone-600 prose-th:px-3 prose-th:py-1.5 prose-td:border prose-td:border-stone-300 prose-td:dark:border-stone-600 prose-td:px-3 prose-td:py-1.5 "><p>Our research surfaced several candidate palettes. Pick the one that best matches the mood in the brief.</p></div></div><div class="bg-white dark:bg-stone-900 rounded-xl border border-stone-200 dark:border-stone-700 shadow-sm p-6 mb-6 "><h2 class="text-lg font-semibold mb-3 text-stone-900 dark:text-stone-100">Reference images</h2><p class="text-sm text-stone-600 dark:text-stone-300 mb-3">Each image stays interactive. Click the pencil FAB (bottom-right) to annotate — draw on the surface, add a comment, submit. Captured annotations show in a list below.</p><div role="region" aria-roledescription="carousel" aria-label="Question images" tabindex="0" class="relative rounded-lg outline-none focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-teal-500 focus-visible:ring-offset-2 dark:focus-visible:ring-offset-stone-900"><div class="relative"><div aria-roledescription="slide" aria-label="Image 1 of 2" aria-current="true" class="block"><div class="space-y-3"><div class="relative rounded-md overflow-hidden border border-stone-200 dark:border-stone-800 bg-white"><img alt="Reference 1 of 2" class="w-full h-auto bg-white" src="https://example.test/images/palette-a.png"><svg class="absolute inset-0 w-full h-full pointer-events-none" aria-hidden="true"><title>Annotation overlay</title></svg></div></div></div><div aria-roledescription="slide" aria-label="Image 2 of 2" aria-hidden="true" class="hidden"><div class="space-y-3"><div class="relative rounded-md overflow-hidden border border-stone-200 dark:border-stone-800 bg-white"><img alt="Reference 2 of 2" class="w-full h-auto bg-white" src="https://example.test/images/palette-b.png"><svg class="absolute inset-0 w-full h-full pointer-events-none" aria-hidden="true"><title>Annotation overlay</title></svg></div></div></div></div><div class="mt-3 flex items-center justify-between"><button type="button" aria-label="Previous image" class="px-3 py-2 rounded-lg border border-stone-300 dark:border-stone-600 text-stone-700 dark:text-stone-200 hover:bg-stone-100 dark:hover:bg-stone-800 transition-colors focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-teal-500 focus-visible:ring-offset-2 dark:focus-visible:ring-offset-stone-900 touch-target">←</button><span class="text-sm text-stone-700 dark:text-stone-200">Image 1 of 2</span><button type="button" aria-label="Next image" class="px-3 py-2 rounded-lg border border-stone-300 dark:border-stone-600 text-stone-700 dark:text-stone-200 hover:bg-stone-100 dark:hover:bg-stone-800 transition-colors focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-teal-500 focus-visible:ring-offset-2 dark:focus-visible:ring-offset-stone-900 touch-target">→</button></div></div></div><form novalidate=""><div class="bg-white dark:bg-stone-900 rounded-xl border border-stone-200 dark:border-stone-700 shadow-sm p-6 mb-6 "><fieldset aria-labelledby="q-0-legend"><legend id="q-0-legend" class="text-base font-semibold mb-2 text-stone-900 dark:text-stone-100"><div id="q-0-question" class="prose prose-sm prose-stone dark:prose-invert max-w-none min-w-0 [overflow-wrap:anywhere] prose-code:bg-stone-100 prose-code:dark:bg-stone-800 prose-code:px-1 prose-code:py-0.5 prose-code:rounded prose-code:text-sm prose-code:[overflow-wrap:anywhere] prose-pre:bg-stone-100 prose-pre:dark:bg-stone-800 prose-pre:rounded-lg prose-pre:overflow-x-auto prose-pre:max-w-full prose-pre:whitespace-pre-wrap prose-table:border-collapse prose-th:border prose-th:border-stone-300 prose-th:dark:border-stone-600 prose-th:px-3 prose-th:py-1.5 prose-td:border prose-td:border-stone-300 prose-td:dark:border-stone-600 prose-td:px-3 prose-td:py-1.5 "><p>Which palette should we prototype first?</p></div></legend><div class="text-sm text-stone-600 dark:text-stone-300 mb-3"><div id="q-0-header" class="prose prose-sm prose-stone dark:prose-invert max-w-none min-w-0 [overflow-wrap:anywhere] prose-code:bg-stone-100 prose-code:dark:bg-stone-800 prose-code:px-1 prose-code:py-0.5 prose-code:rounded prose-code:text-sm prose-code:[overflow-wrap:anywhere] prose-pre:bg-stone-100 prose-pre:dark:bg-stone-800 prose-pre:rounded-lg prose-pre:overflow-x-auto prose-pre:max-w-full prose-pre:whitespace-pre-wrap prose-table:border-collapse prose-th:border prose-th:border-stone-300 prose-th:dark:border-stone-600 prose-th:px-3 prose-th:py-1.5 prose-td:border prose-td:border-stone-300 prose-td:dark:border-stone-600 prose-td:px-3 prose-td:py-1.5 "><p>Pick exactly one option below.</p></div></div><div class="space-y-2"><label for="q-0-opt-0" class="flex items-center gap-3 p-2 rounded-lg hover:bg-stone-50 dark:hover:bg-stone-800 cursor-pointer transition-colors touch-target"><input id="q-0-opt-0" aria-checked="false" class="w-4 h-4 text-teal-600 focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-teal-500 focus-visible:ring-offset-2 dark:focus-visible:ring-offset-stone-900" type="radio" value="Warm earth tones" name="q-0-options"><span class="text-stone-700 dark:text-stone-200">Warm earth tones</span></label><label for="q-0-opt-1" class="flex items-center gap-3 p-2 rounded-lg hover:bg-stone-50 dark:hover:bg-stone-800 cursor-pointer transition-colors touch-target"><input id="q-0-opt-1" aria-checked="false" class="w-4 h-4 text-teal-600 focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-teal-500 focus-visible:ring-offset-2 dark:focus-visible:ring-offset-stone-900" type="radio" value="Cool blues" name="q-0-options"><span class="text-stone-700 dark:text-stone-200">Cool blues</span></label><label for="q-0-opt-2" class="flex items-center gap-3 p-2 rounded-lg hover:bg-stone-50 dark:hover:bg-stone-800 cursor-pointer transition-colors touch-target"><input id="q-0-opt-2" aria-checked="false" class="w-4 h-4 text-teal-600 focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-teal-500 focus-visible:ring-offset-2 dark:focus-visible:ring-offset-stone-900" type="radio" value="High-contrast mono" name="q-0-options"><span class="text-stone-700 dark:text-stone-200">High-contrast mono</span></label><label for="q-0-opt-3" class="flex items-center gap-3 p-2 rounded-lg hover:bg-stone-50 dark:hover:bg-stone-800 cursor-pointer transition-colors touch-target"><input id="q-0-opt-3" aria-checked="false" class="w-4 h-4 text-teal-600 focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-teal-500 focus-visible:ring-offset-2 dark:focus-visible:ring-offset-stone-900" type="radio" value="Muted pastels" name="q-0-options"><span class="text-stone-700 dark:text-stone-200">Muted pastels</span></label><label for="q-0-opt-4" class="flex items-center gap-3 p-2 rounded-lg hover:bg-stone-50 dark:hover:bg-stone-800 cursor-pointer transition-colors touch-target"><input id="q-0-opt-4" aria-checked="false" class="w-4 h-4 text-teal-600 focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-teal-500 focus-visible:ring-offset-2 dark:focus-visible:ring-offset-stone-900" type="radio" value="Vivid accent" name="q-0-options"><span class="text-stone-700 dark:text-stone-200">Vivid accent</span></label></div></fieldset></div><button type="submit" aria-disabled="false" class="w-full px-6 py-3 bg-teal-700 hover:bg-teal-800 text-white font-semibold rounded-lg transition-colors focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-teal-500 focus-visible:ring-offset-2 dark:focus-visible:ring-offset-stone-900 disabled:bg-green-300 disabled:text-green-800 dark:disabled:bg-green-900/40 dark:disabled:text-green-200 disabled:cursor-not-allowed touch-target">Submit Answer</button></form></div></main><div class="fixed bottom-4 right-4 z-40 flex items-center gap-2"><kbd aria-hidden="true" title="Hold ⌥ Option to annotate momentarily, or click the pencil to keep it on" class="select-none rounded-md border px-1.5 py-0.5 text-xs font-semibold leading-none shadow-sm transition-colors border-stone-300 bg-white/90 text-stone-600 dark:border-stone-600 dark:bg-stone-900/90 dark:text-stone-300">⌥</kbd><button type="button" data-annotation-fab="true" aria-pressed="false" aria-label="Enter annotation mode" title="Annotate — click to toggle, or hold ⌥ Option for a quick pass" class="relative inline-flex items-center justify-center rounded-full shadow-lg w-12 h-12 border transition-colors focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-teal-500 focus-visible:ring-offset-2 dark:focus-visible:ring-offset-stone-900 bg-white dark:bg-stone-900 border-stone-300 dark:border-stone-600 text-stone-700 dark:text-stone-200 hover:bg-stone-100 dark:hover:bg-stone-800"><svg aria-hidden="true" viewBox="0 0 24 24" width="22" height="22" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Annotation mode off</title><path d="M12 20h9"></path><path d="M16.5 3.5a2.121 2.121 0 1 1 3 3L7 19l-4 1 1-4L16.5 3.5z"></path></svg></button></div></div><div id="feedback-live-polite" role="status" aria-live="polite" aria-atomic="true" class="sr-only"></div><div id="feedback-live-assertive" role="alert" aria-live="assertive" aria-atomic="true" class="sr-only"></div>"`;
 
-exports[`DOM parity — rendered app matches committed snapshot per fixture > review session renders a stable DOM tree > dom-review.html 1`] = `"<a href="#main-content" class="sr-only focus-visible:not-sr-only focus-visible:fixed focus-visible:top-2 focus-visible:left-2 focus-visible:z-[100] focus-visible:px-3 focus-visible:py-2 focus-visible:bg-teal-700 focus-visible:text-white focus-visible:rounded-md focus-visible:ring-2 focus-visible:ring-teal-500 focus-visible:ring-offset-2 dark:focus-visible:ring-offset-stone-900 focus-visible:outline-none focus-visible:shadow-lg focus-visible:font-medium">Skip to main content</a><div data-testid="review-page-ready" class="h-screen overflow-hidden flex flex-col bg-stone-50 dark:bg-stone-950 text-stone-900 dark:text-stone-100" style="--review-header-h: 0px; --review-gatebar-h: 0px;"><header class="shrink-0 z-40 bg-white/80 dark:bg-stone-900/80 backdrop-blur-sm border-b border-stone-200 dark:border-stone-800" role="banner"><div class="px-4 sm:px-6 py-3 flex items-center justify-between border-b border-stone-100 dark:border-stone-800/60"><div class="flex items-center gap-3 min-w-0"><span class="text-base font-bold tracking-tight text-stone-900 dark:text-stone-100">H·AI·K·U</span><span class="text-stone-300 dark:text-stone-600">|</span><span class="text-sm font-medium text-stone-500 dark:text-stone-400">Review</span><span class="text-stone-300 dark:text-stone-600">/</span><button type="button" class="text-sm font-semibold truncate rounded focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-teal-500 focus-visible:ring-offset-2 dark:focus-visible:ring-offset-stone-900 text-stone-800 dark:text-stone-100 hover:text-teal-700 dark:hover:text-teal-400" title="View intent overview">Test Intent</button></div><div class="flex items-center gap-2 shrink-0"><button type="button" aria-label="Toggle theme" title="Toggle theme" class="touch-target inline-flex items-center justify-center rounded-lg border border-stone-300 dark:border-stone-600 bg-white dark:bg-stone-900 hover:bg-stone-100 dark:hover:bg-stone-800 transition-colors focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-teal-500 focus-visible:ring-offset-2 dark:focus-visible:ring-offset-stone-900"><span aria-hidden="true" class="text-base leading-none">☀</span></button></div></div></header><div data-testid="review-split" class="flex-1 flex flex-col xl:flex-row overflow-hidden"><aside data-testid="feedback-sidebar-desktop" class="hidden xl:flex w-[var(--sidebar-width)] xl:w-[var(--sidebar-width-xl)] shrink-0 flex-col bg-white dark:bg-stone-900 border-r border-stone-200 dark:border-stone-800 overflow-hidden " role="complementary" aria-label="Review sidebar"><div class="shrink-0 px-4 py-3 border-b border-stone-200 dark:border-stone-800"><p class="text-xs font-bold uppercase tracking-widest text-stone-500 dark:text-stone-500 mb-1">Reviewing</p><h2 class="text-sm font-semibold text-stone-900 dark:text-stone-100 leading-tight capitalize">Intent</h2><div class="flex items-center gap-1.5 mt-2 flex-wrap"><span class="inline-flex items-center px-2 py-0.5 rounded-full text-xs font-semibold bg-teal-100 text-teal-700 dark:bg-teal-900/30 dark:text-teal-400">Local Review</span><span class="text-xs text-stone-500 truncate">Test Intent</span></div></div><div class="shrink-0 flex items-center justify-between px-3 py-2 border-b border-stone-200 dark:border-stone-800 bg-stone-50 dark:bg-stone-900/50"><div class="flex items-center gap-2"><span class="text-xs font-semibold text-stone-700 dark:text-stone-200 uppercase tracking-wider">Feedback</span><span class="px-1.5 py-0.5 rounded-full text-xs font-bold bg-stone-200 text-stone-600 dark:bg-stone-800 dark:text-stone-300">0</span></div><span class="text-xs text-stone-500 italic">everything is specification</span></div><div class="flex flex-col flex-1 min-h-0"><div class="flex flex-col flex-1 min-h-0"><div class="shrink-0 px-4 py-3 border-b border-stone-200 dark:border-stone-700 space-y-2"></div><div class="flex-1 min-h-0 overflow-hidden"><div data-testid="feedback-list" data-state="empty" class="p-4 text-center "><p class="text-xs text-stone-600 dark:text-stone-300 italic">No feedback yet. Select text or drop pins to add annotations.</p></div></div></div></div><div class="shrink-0 border-t border-stone-200 dark:border-stone-700"><section data-testid="knowledge-upload-panel" class="mx-3 my-2 rounded-md border border-stone-200 bg-white p-3 text-sm text-stone-900 dark:border-stone-800 dark:bg-stone-900 dark:text-stone-100 "><header class="flex h-8 items-center justify-between gap-2"><button type="button" aria-expanded="false" aria-controls="_r_1_" data-testid="knowledge-upload-caret" class="touch-target focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-teal-500 focus-visible:ring-offset-2 dark:focus-visible:ring-offset-stone-900 inline-flex items-center gap-2 rounded px-1 text-sm font-semibold text-stone-700 dark:text-stone-200"><span aria-hidden="true">▸</span><span>Upload knowledge</span></button></header><div id="_r_0_" role="status" aria-live="polite" aria-atomic="true" data-testid="knowledge-upload-live" class="sr-only"></div></section></div><div data-testid="review-footer-bar" class="shrink-0 border-t border-stone-200 dark:border-stone-700 bg-white dark:bg-stone-900 p-3 space-y-2"><textarea placeholder="Add a comment on this stage…" rows="2" class="w-full text-xs p-2 border border-stone-300 dark:border-stone-600 rounded-lg bg-white dark:bg-stone-800 text-stone-900 dark:text-stone-100 focus:ring-2 focus:ring-teal-500 focus:outline-none resize-none disabled:bg-stone-100 disabled:text-stone-500 dark:disabled:bg-stone-800 dark:disabled:text-stone-400 disabled:cursor-not-allowed"></textarea><div class="flex gap-2 flex-wrap"><button type="button" disabled="" class="touch-target flex-1 min-w-0 inline-flex items-center justify-center gap-2 rounded-md bg-teal-700 hover:bg-teal-800 px-3 py-2 text-xs font-semibold text-white transition-colors disabled:bg-stone-200 disabled:text-stone-500 disabled:cursor-not-allowed focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-teal-500 focus-visible:ring-offset-2 dark:focus-visible:ring-offset-stone-900 dark:disabled:bg-stone-700 dark:disabled:text-stone-400">Type a comment to add</button></div><p class="text-xs text-stone-500 dark:text-stone-300 leading-snug pt-1 border-t border-stone-100 dark:border-stone-800">Type a comment above or click into another stage.</p></div></aside><main class="flex-1 min-w-0 overflow-y-auto" style="--header-height: 5.5rem;" id="main-content" role="main" aria-label="Review content" tabindex="-1"><div data-testid="artifacts-pane" class="flex-1 min-w-0 "><div data-tabs="intent"><div role="tablist" aria-label="Review sections" class="flex overflow-x-auto border-b border-stone-200 dark:border-stone-700 -mx-1 mb-6 sticky top-[var(--header-height)] z-30 bg-white dark:bg-stone-950 pb-0"><button type="button" role="tab" id="tab-intent-overview" aria-selected="true" aria-controls="panel-intent-overview" tabindex="0" class="touch-target focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-teal-500 focus-visible:ring-offset-2 dark:focus-visible:ring-offset-stone-900 inline-flex items-center justify-center px-4 py-2.5 text-sm font-medium whitespace-nowrap border-b-2 transition-colors border-teal-600 text-teal-600 dark:border-teal-400 dark:text-teal-400">Overview</button><button type="button" role="tab" id="tab-intent-other" aria-selected="false" aria-controls="panel-intent-other" tabindex="-1" aria-disabled="true" class="touch-target focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-teal-500 focus-visible:ring-offset-2 dark:focus-visible:ring-offset-stone-900 inline-flex items-center justify-center px-4 py-2.5 text-sm font-medium whitespace-nowrap border-b-2 transition-colors border-transparent text-stone-600 dark:text-stone-300 cursor-not-allowed">Other (0)</button></div><div role="tabpanel" id="panel-intent-overview" aria-labelledby="tab-intent-overview" tabindex="0" class="focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-teal-500 focus-visible:ring-offset-2 dark:focus-visible:ring-offset-stone-900"><div class="flex flex-wrap items-center gap-2 mb-6"><span role="status" class="inline-flex items-center px-2.5 py-0.5 rounded-full text-xs font-semibold bg-purple-100 text-purple-700 dark:bg-purple-900/30 dark:text-purple-400 " aria-label="Review type: intent">intent</span><span role="status" class="inline-flex items-center px-2.5 py-0.5 rounded-full text-xs font-semibold bg-teal-100 text-teal-700 dark:bg-teal-900/30 dark:text-teal-400 " aria-label="Status: in_progress">in progress</span><span role="status" class="inline-flex items-center px-2.5 py-0.5 rounded-full text-xs font-semibold bg-stone-100 text-stone-600 dark:bg-stone-800 dark:text-stone-300 " aria-label="Schema: v3">v3</span></div></div><div role="tabpanel" id="panel-intent-other" aria-labelledby="tab-intent-other" hidden="" tabindex="-1" class="focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-teal-500 focus-visible:ring-offset-2 dark:focus-visible:ring-offset-stone-900"></div></div></div></main></div><div class="fixed bottom-4 right-4 z-40 flex items-center gap-2"><kbd aria-hidden="true" title="Hold ⌥ Option to annotate momentarily, or click the pencil to keep it on" class="select-none rounded-md border px-1.5 py-0.5 text-xs font-semibold leading-none shadow-sm transition-colors border-stone-300 bg-white/90 text-stone-600 dark:border-stone-600 dark:bg-stone-900/90 dark:text-stone-300">⌥</kbd><button type="button" data-annotation-fab="true" aria-pressed="false" aria-label="Enter annotation mode" title="Annotate — click to toggle, or hold ⌥ Option for a quick pass" class="relative inline-flex items-center justify-center rounded-full shadow-lg w-12 h-12 border transition-colors focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-teal-500 focus-visible:ring-offset-2 dark:focus-visible:ring-offset-stone-900 bg-white dark:bg-stone-900 border-stone-300 dark:border-stone-600 text-stone-700 dark:text-stone-200 hover:bg-stone-100 dark:hover:bg-stone-800"><svg aria-hidden="true" viewBox="0 0 24 24" width="22" height="22" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Annotation mode off</title><path d="M12 20h9"></path><path d="M16.5 3.5a2.121 2.121 0 1 1 3 3L7 19l-4 1 1-4L16.5 3.5z"></path></svg></button></div></div><div id="feedback-live-polite" role="status" aria-live="polite" aria-atomic="true" class="sr-only"></div><div id="feedback-live-assertive" role="alert" aria-live="assertive" aria-atomic="true" class="sr-only"></div>"`;
+exports[`DOM parity — rendered app matches committed snapshot per fixture > review session renders a stable DOM tree > dom-review.html 1`] = `"<a href="#main-content" class="sr-only focus-visible:not-sr-only focus-visible:fixed focus-visible:top-2 focus-visible:left-2 focus-visible:z-[100] focus-visible:px-3 focus-visible:py-2 focus-visible:bg-teal-700 focus-visible:text-white focus-visible:rounded-md focus-visible:ring-2 focus-visible:ring-teal-500 focus-visible:ring-offset-2 dark:focus-visible:ring-offset-stone-900 focus-visible:outline-none focus-visible:shadow-lg focus-visible:font-medium">Skip to main content</a><div data-testid="review-page-ready" class="h-screen overflow-hidden flex flex-col bg-stone-50 dark:bg-stone-950 text-stone-900 dark:text-stone-100" style="--review-header-h: 0px; --review-gatebar-h: 0px;"><header class="shrink-0 z-40 bg-white/80 dark:bg-stone-900/80 backdrop-blur-sm border-b border-stone-200 dark:border-stone-800" role="banner"><div class="px-4 sm:px-6 py-3 flex items-center justify-between border-b border-stone-100 dark:border-stone-800/60"><div class="flex items-center gap-3 min-w-0"><span class="text-base font-bold tracking-tight text-stone-900 dark:text-stone-100">H·AI·K·U</span><span class="text-stone-300 dark:text-stone-600">|</span><span class="text-sm font-medium text-stone-500 dark:text-stone-400">Review</span><span class="text-stone-300 dark:text-stone-600">/</span><button type="button" class="text-sm font-semibold truncate rounded focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-teal-500 focus-visible:ring-offset-2 dark:focus-visible:ring-offset-stone-900 text-stone-800 dark:text-stone-100 hover:text-teal-700 dark:hover:text-teal-400" title="View intent overview">Test Intent</button></div><div class="flex items-center gap-2 shrink-0"><button type="button" aria-label="Toggle theme" title="Toggle theme" class="touch-target inline-flex items-center justify-center rounded-lg border border-stone-300 dark:border-stone-600 bg-white dark:bg-stone-900 hover:bg-stone-100 dark:hover:bg-stone-800 transition-colors focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-teal-500 focus-visible:ring-offset-2 dark:focus-visible:ring-offset-stone-900"><span aria-hidden="true" class="text-base leading-none">☀</span></button></div></div></header><div data-testid="review-split" class="flex-1 flex flex-col xl:flex-row overflow-hidden"><aside data-testid="feedback-sidebar-desktop" class="hidden xl:flex w-[var(--sidebar-width)] xl:w-[var(--sidebar-width-xl)] shrink-0 flex-col bg-white dark:bg-stone-900 border-r border-stone-200 dark:border-stone-800 overflow-hidden " role="complementary" aria-label="Review sidebar"><div class="shrink-0 px-4 py-3 border-b border-stone-200 dark:border-stone-800"><p class="text-xs font-bold uppercase tracking-widest text-stone-500 dark:text-stone-500 mb-1">Reviewing</p><h2 class="text-sm font-semibold text-stone-900 dark:text-stone-100 leading-tight capitalize">Intent</h2><div class="flex items-center gap-1.5 mt-2 flex-wrap"><span class="inline-flex items-center px-2 py-0.5 rounded-full text-xs font-semibold bg-teal-100 text-teal-700 dark:bg-teal-900/30 dark:text-teal-400">Local Review</span><span class="text-xs text-stone-500 truncate">Test Intent</span></div></div><div class="shrink-0 flex items-center justify-between px-3 py-2 border-b border-stone-200 dark:border-stone-800 bg-stone-50 dark:bg-stone-900/50"><div class="flex items-center gap-2"><span class="text-xs font-semibold text-stone-700 dark:text-stone-200 uppercase tracking-wider">Feedback</span><span class="px-1.5 py-0.5 rounded-full text-xs font-bold bg-stone-200 text-stone-600 dark:bg-stone-800 dark:text-stone-300">0</span></div><span class="text-xs text-stone-500 italic">everything is specification</span></div><div class="flex flex-col flex-1 min-h-0"><div class="flex flex-col flex-1 min-h-0"><div class="shrink-0 px-4 py-3 border-b border-stone-200 dark:border-stone-700 space-y-2"></div><div class="flex-1 min-h-0 overflow-hidden"><div data-testid="feedback-list" data-state="empty" class="p-4 text-center "><p class="text-xs text-stone-600 dark:text-stone-300 italic">No feedback yet. Select text or drop pins to add annotations.</p></div></div></div></div><div class="shrink-0 border-t border-stone-200 dark:border-stone-700"><section data-testid="knowledge-upload-panel" class="mx-3 my-2 rounded-md border border-stone-200 bg-white p-3 text-sm text-stone-900 dark:border-stone-800 dark:bg-stone-900 dark:text-stone-100 "><header class="flex h-8 items-center justify-between gap-2"><button type="button" aria-expanded="false" aria-controls="_r_1_" data-testid="knowledge-upload-caret" class="touch-target focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-teal-500 focus-visible:ring-offset-2 dark:focus-visible:ring-offset-stone-900 inline-flex items-center gap-2 rounded px-1 text-sm font-semibold text-stone-700 dark:text-stone-200"><span aria-hidden="true">▸</span><span>Upload knowledge</span></button></header><div id="_r_0_" role="status" aria-live="polite" aria-atomic="true" data-testid="knowledge-upload-live" class="sr-only"></div></section></div><div data-testid="review-footer-bar" class="shrink-0 border-t border-stone-200 dark:border-stone-700 bg-white dark:bg-stone-900 p-3 space-y-2"><textarea placeholder="Add a comment on this stage…" rows="2" class="w-full text-xs p-2 border border-stone-300 dark:border-stone-600 rounded-lg bg-white dark:bg-stone-800 text-stone-900 dark:text-stone-100 focus:ring-2 focus:ring-teal-500 focus:outline-none resize-none disabled:bg-stone-100 disabled:text-stone-500 dark:disabled:bg-stone-800 dark:disabled:text-stone-400 disabled:cursor-not-allowed"></textarea><div class="flex gap-2 flex-wrap"><button type="button" disabled="" class="touch-target flex-1 min-w-0 inline-flex items-center justify-center gap-2 rounded-md bg-teal-700 hover:bg-teal-800 px-3 py-2 text-xs font-semibold text-white transition-colors disabled:bg-stone-200 disabled:text-stone-500 disabled:cursor-not-allowed focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-teal-500 focus-visible:ring-offset-2 dark:focus-visible:ring-offset-stone-900 dark:disabled:bg-stone-700 dark:disabled:text-stone-400">Type a comment to add</button></div><p class="text-xs text-stone-500 dark:text-stone-300 leading-snug pt-1 border-t border-stone-100 dark:border-stone-800">Type a comment above to leave feedback on this stage. Only the active stage can be approved — select it to approve.</p></div></aside><main class="flex-1 min-w-0 overflow-y-auto" style="--header-height: 5.5rem;" id="main-content" role="main" aria-label="Review content" tabindex="-1"><div data-testid="artifacts-pane" class="flex-1 min-w-0 "><div data-tabs="intent"><div role="tablist" aria-label="Review sections" class="flex overflow-x-auto border-b border-stone-200 dark:border-stone-700 -mx-1 mb-6 sticky top-[var(--header-height)] z-30 bg-white dark:bg-stone-950 pb-0"><button type="button" role="tab" id="tab-intent-overview" aria-selected="true" aria-controls="panel-intent-overview" tabindex="0" class="touch-target focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-teal-500 focus-visible:ring-offset-2 dark:focus-visible:ring-offset-stone-900 inline-flex items-center justify-center px-4 py-2.5 text-sm font-medium whitespace-nowrap border-b-2 transition-colors border-teal-600 text-teal-600 dark:border-teal-400 dark:text-teal-400">Overview</button><button type="button" role="tab" id="tab-intent-other" aria-selected="false" aria-controls="panel-intent-other" tabindex="-1" aria-disabled="true" class="touch-target focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-teal-500 focus-visible:ring-offset-2 dark:focus-visible:ring-offset-stone-900 inline-flex items-center justify-center px-4 py-2.5 text-sm font-medium whitespace-nowrap border-b-2 transition-colors border-transparent text-stone-600 dark:text-stone-300 cursor-not-allowed">Other (0)</button></div><div role="tabpanel" id="panel-intent-overview" aria-labelledby="tab-intent-overview" tabindex="0" class="focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-teal-500 focus-visible:ring-offset-2 dark:focus-visible:ring-offset-stone-900"><div class="flex flex-wrap items-center gap-2 mb-6"><span role="status" class="inline-flex items-center px-2.5 py-0.5 rounded-full text-xs font-semibold bg-purple-100 text-purple-700 dark:bg-purple-900/30 dark:text-purple-400 " aria-label="Review type: intent">intent</span><span role="status" class="inline-flex items-center px-2.5 py-0.5 rounded-full text-xs font-semibold bg-teal-100 text-teal-700 dark:bg-teal-900/30 dark:text-teal-400 " aria-label="Status: in_progress">in progress</span><span role="status" class="inline-flex items-center px-2.5 py-0.5 rounded-full text-xs font-semibold bg-stone-100 text-stone-600 dark:bg-stone-800 dark:text-stone-300 " aria-label="Schema: v3">v3</span></div></div><div role="tabpanel" id="panel-intent-other" aria-labelledby="tab-intent-other" hidden="" tabindex="-1" class="focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-teal-500 focus-visible:ring-offset-2 dark:focus-visible:ring-offset-stone-900"></div></div></div></main></div><div class="fixed bottom-4 right-4 z-40 flex items-center gap-2"><kbd aria-hidden="true" title="Hold ⌥ Option to annotate momentarily, or click the pencil to keep it on" class="select-none rounded-md border px-1.5 py-0.5 text-xs font-semibold leading-none shadow-sm transition-colors border-stone-300 bg-white/90 text-stone-600 dark:border-stone-600 dark:bg-stone-900/90 dark:text-stone-300">⌥</kbd><button type="button" data-annotation-fab="true" aria-pressed="false" aria-label="Enter annotation mode" title="Annotate — click to toggle, or hold ⌥ Option for a quick pass" class="relative inline-flex items-center justify-center rounded-full shadow-lg w-12 h-12 border transition-colors focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-teal-500 focus-visible:ring-offset-2 dark:focus-visible:ring-offset-stone-900 bg-white dark:bg-stone-900 border-stone-300 dark:border-stone-600 text-stone-700 dark:text-stone-200 hover:bg-stone-100 dark:hover:bg-stone-800"><svg aria-hidden="true" viewBox="0 0 24 24" width="22" height="22" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Annotation mode off</title><path d="M12 20h9"></path><path d="M16.5 3.5a2.121 2.121 0 1 1 3 3L7 19l-4 1 1-4L16.5 3.5z"></path></svg></button></div></div><div id="feedback-live-polite" role="status" aria-live="polite" aria-atomic="true" class="sr-only"></div><div id="feedback-live-assertive" role="alert" aria-live="assertive" aria-atomic="true" class="sr-only"></div>"`;
diff --git a/packages/haiku/src/current-state.ts b/packages/haiku/src/current-state.ts
index 931018323..3046d8b98 100644
--- a/packages/haiku/src/current-state.ts
+++ b/packages/haiku/src/current-state.ts
@@ -38,6 +38,7 @@ import {
 	serializeElaborateSignals,
 } from "./orchestrator/workflow/cursor.js"
 import { deriveStageState } from "./orchestrator/workflow/derived-stage-state.js"
+import { intentDeliveryState } from "./orchestrator/workflow/intent-delivery.js"
 import { intentDir, parseFrontmatter } from "./state-tools.js"
 import type { IntentCurrentState, IntentPhase } from "./types.js"
 
@@ -152,10 +153,35 @@ export function getCurrentState(
 		if (signals.length > 0) pending_signals = serializeElaborateSignals(signals)
 	}
 
+	// Terminal seal state — only meaningful once every stage has merged
+	// (`findCurrentStage` returned null). `sealed_at` → "sealed"; otherwise
+	// the work is built+signed but the hub branch may still be awaiting a
+	// merge into the default branch → "pending_seal". LOCAL-only merge probe
+	// (no gh/glab) — this is a per-request display path.
+	let seal_status: "sealed" | "pending_seal" | undefined
+	let awaiting_merge_into: string | undefined
+	if (cursorStage === null) {
+		const sealedAt =
+			typeof intent.sealed_at === "string" && intent.sealed_at.length > 0
+		const delivery = intentDeliveryState(slug, { localOnly: true })
+		if (delivery.applicable && !delivery.merged) {
+			// Held: the work hasn't landed on the default branch — whether or
+			// not a sealed stamp was already written. The merge gate reading
+			// at the display layer ("while the cursor signal may say sealed,
+			// if the branch isn't merged the status is pending seal").
+			seal_status = "pending_seal"
+			awaiting_merge_into = delivery.defaultBranch
+		} else if (sealedAt) {
+			seal_status = "sealed"
+		}
+	}
+
 	return {
 		studio,
 		stage: current,
 		phase,
 		...(pending_signals ? { pending_signals } : {}),
+		...(seal_status ? { seal_status } : {}),
+		...(awaiting_merge_into ? { awaiting_merge_into } : {}),
 	}
 }
diff --git a/packages/haiku/src/git-worktree.ts b/packages/haiku/src/git-worktree.ts
index 6cbeb6b96..335fb1752 100644
--- a/packages/haiku/src/git-worktree.ts
+++ b/packages/haiku/src/git-worktree.ts
@@ -501,7 +501,10 @@ function engineProtectedMergeInCwd(
 	}
 	// Re-assert the target's authoritative engine state over any silent
 	// auto-resolve to the source side. `HEAD` is still the pre-merge target
-	// (we passed `--no-commit`).
+	// (we passed `--no-commit`). The target (the branch being merged INTO) is
+	// canonical for engine state in every engine merge — including the
+	// downstream intent-main → stage sync, where the stage branch is ahead
+	// (the stage-branch invariant; see downstream-sync-clobber.test.mjs).
 	restoreEngineStateFromBase(gitC, "HEAD", slug)
 	// Any remaining unresolved paths are genuine conflicts on non-engine
 	// (agent) content — surface them; the engine guard already settled the
@@ -2078,6 +2081,25 @@ export function mergeStageBranchIntoMain(
 				tryRun(["git", ...cwdArgs, "diff", "--name-only", "--diff-filter=U"])
 					.split("\n")
 					.filter(Boolean)
+			// Engine-owned intent state (intent.md, units, feedback) is
+			// sole-engine-write and lives authoritatively on intent main (HEAD
+			// here) — it must NEVER reach the agent conflicted. Re-assert it
+			// from HEAD, then return only the REMAINING (agent/non-engine)
+			// conflicts; if engine state was the only conflict, finish the
+			// merge commit. Without this, the v9→v10 migration rewriting
+			// intent.md diverged it from the stage branch and a plain merge
+			// left conflict markers in intent.md, breaking the seal
+			// (worker-new-badge 2026-05-28; same class as the forward-merge
+			// fix, this is the stage-completion path).
+			const settleEngineConflicts = (raw: string[]): string[] => {
+				if (raw.length === 0) return []
+				restoreEngineStateFromBase(cwdArgs, "HEAD", slug)
+				const remaining = collectConflicts()
+				if (remaining.length === 0) {
+					tryRun(["git", ...cwdArgs, "commit", "--no-edit", "-m", mergeMessage])
+				}
+				return remaining
+			}
 			const doMerge = (): void => {
 				run([
 					"git",
@@ -2095,7 +2117,8 @@ export function mergeStageBranchIntoMain(
 				return { conflictFiles: [] }
 			} catch (mergeErr) {
 				const conflicts = collectConflicts()
-				if (conflicts.length > 0) return { conflictFiles: conflicts }
+				if (conflicts.length > 0)
+					return { conflictFiles: settleEngineConflicts(conflicts) }
 
 				// Not a content conflict. The classic blocker for an engine
 				// stage-close merge is untracked working-tree files the merge
@@ -2142,7 +2165,7 @@ export function mergeStageBranchIntoMain(
 					// Restore the stashed working tree regardless of outcome.
 					tryRun(["git", ...cwdArgs, "stash", "pop"])
 					if (retryConflicts.length > 0) {
-						return { conflictFiles: retryConflicts }
+						return { conflictFiles: settleEngineConflicts(retryConflicts) }
 					}
 					tryRun(["git", ...cwdArgs, "merge", "--abort"])
 					throw retryErr
@@ -2155,7 +2178,7 @@ export function mergeStageBranchIntoMain(
 				// `git stash list`. Neither data loss nor a silent no-op — the
 				// merge happened, which is the whole point.
 				tryRun(["git", ...cwdArgs, "stash", "pop"])
-				return { conflictFiles: collectConflicts() }
+				return { conflictFiles: settleEngineConflicts(collectConflicts()) }
 			}
 		}
 
@@ -2931,55 +2954,44 @@ export function ensureOnStageBranch(
 					}
 				}
 			}
-			// Stage 2: merge main into the (now checked-out) stage branch.
-			// A failure here is a real conflict — leave it for human resolution.
-			try {
-				run([
-					"git",
-					"merge",
-					intentMain,
-					"--no-ff",
-					"--no-edit",
-					"-m",
-					`haiku: merge intent-main → stage ${stage} (workflow engine branch enforcement)`,
-				])
+			// Stage 2: merge main into the (now checked-out) stage branch,
+			// ENGINE-FM-PROTECTED. A plain `git merge` here left conflict
+			// markers in intent.md whenever a mid-flight migration (e.g. v9→v10
+			// materializing `stages`) diverged intent main from the stage
+			// branch — the seal then choked parsing the workflow-managed file
+			// (worker-new-badge 2026-05-28). `engineProtectedMergeInCwd`
+			// re-asserts engine-owned state (intent.md, units, feedback) from
+			// intent main — the authoritative branch for that state — so only
+			// genuine conflicts on agent (non-engine) content surface.
+			const protectedMerge = engineProtectedMergeInCwd(
+				[],
+				intentMain,
+				slug,
+				`haiku: merge intent-main → stage ${stage} (workflow engine branch enforcement)`,
+			)
+			if (protectedMerge.ok) {
 				return {
 					ok: true,
 					branch: stageBranch,
 					message: `merged main → stage, now on ${stageBranch}`,
 					switched: true,
 				}
-			} catch (err) {
-				const raw = err instanceof Error ? err.message : String(err)
-				const status = tryRun(["git", "status", "--porcelain"])
-				const conflicts = (status || "")
-					.split("\n")
-					.filter(
-						(l) =>
-							l.startsWith("UU ") ||
-							l.startsWith("AA ") ||
-							l.startsWith("DD ") ||
-							l.startsWith("AU ") ||
-							l.startsWith("UA ") ||
-							l.startsWith("DU ") ||
-							l.startsWith("UD "),
-					)
-					.map((l) => l.slice(3).trim())
-				return {
-					ok: false,
-					branch: stageBranch,
-					message:
-						conflicts.length > 0
-							? `Merge intent-main → stage '${stage}' left ${conflicts.length} conflicted file(s): ${conflicts.join(", ")}. ` +
-								`Resolve on '${stageBranch}', then \`git add\` + \`git commit\` and retry.\n\n` +
-								`While this merge is in progress the workflow-file guardrails are SUSPENDED (both raw Read/Write/Edit and the internal MCP write tools' lifecycle/ownership preventions), so you can resolve the conflicts directly. Prefer the schema-safe internal tools (\`haiku_feedback_write\`, \`haiku_unit_set\`, \`haiku_intent_set\`) — their schema validation still runs, so the resolved files stay valid.\n\n` +
-								`Resolution rule for engine-owned feedback/unit YAML: the MORE-ADVANCED state wins. A terminal (closed/rejected) feedback beats an open one; more iterations / a later closure timestamp beats fewer. BUT feedback that exists only on this (incomplete, not-yet-merged) stage branch must be KEPT — intent-main doesn't have it yet, so don't drop it in favor of main's absence.`
-							: `failed to merge main into stage: ${raw}. Resolve manually on '${stageBranch}', then retry.`,
-					switched: false,
-					block: conflicts.length > 0 ? "merge_conflict" : undefined,
-					dirty_files: conflicts.length > 0 ? conflicts : undefined,
-					target_branch: stageBranch,
-				}
+			}
+			const conflicts = protectedMerge.conflictFiles ?? []
+			return {
+				ok: false,
+				branch: stageBranch,
+				message:
+					conflicts.length > 0
+						? `Merge intent-main → stage '${stage}' left ${conflicts.length} conflicted file(s): ${conflicts.join(", ")}. ` +
+							`Resolve on '${stageBranch}', then \`git add\` + \`git commit\` and retry.\n\n` +
+							`While this merge is in progress the workflow-file guardrails are SUSPENDED (both raw Read/Write/Edit and the internal MCP write tools' lifecycle/ownership preventions), so you can resolve the conflicts directly. Prefer the schema-safe internal tools (\`haiku_feedback_write\`, \`haiku_unit_set\`, \`haiku_intent_set\`) — their schema validation still runs, so the resolved files stay valid.\n\n` +
+							`Resolution rule for engine-owned feedback/unit YAML: the MORE-ADVANCED state wins. A terminal (closed/rejected) feedback beats an open one; more iterations / a later closure timestamp beats fewer. BUT feedback that exists only on this (incomplete, not-yet-merged) stage branch must be KEPT — intent-main doesn't have it yet, so don't drop it in favor of main's absence.`
+						: `failed to merge main into stage: ${protectedMerge.message ?? "unknown error"}. Resolve manually on '${stageBranch}', then retry.`,
+				switched: false,
+				block: conflicts.length > 0 ? "merge_conflict" : undefined,
+				dirty_files: conflicts.length > 0 ? conflicts : undefined,
+				target_branch: stageBranch,
 			}
 		}
 	}
diff --git a/packages/haiku/src/haiku-ui-html.ts b/packages/haiku/src/haiku-ui-html.ts
index e505f47d7..2bad82cd3 100644
--- a/packages/haiku/src/haiku-ui-html.ts
+++ b/packages/haiku/src/haiku-ui-html.ts
@@ -4,7 +4,7 @@ import { brotliDecompressSync } from "node:zlib"
 // SPA HTML, minified by vite then brotli-compressed + base64-encoded
 // at build time. Decompressed once here at module load.
 const COMPRESSED_B64 =
-	"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"
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"
 
 export const HAIKU_UI_HTML: string = brotliDecompressSync(
 	Buffer.from(COMPRESSED_B64, "base64"),
diff --git a/packages/haiku/src/orchestrator/prompts/PROMPTS.md b/packages/haiku/src/orchestrator/prompts/PROMPTS.md
index 298a14c08..a6d549269 100644
--- a/packages/haiku/src/orchestrator/prompts/PROMPTS.md
+++ b/packages/haiku/src/orchestrator/prompts/PROMPTS.md
@@ -62,7 +62,7 @@ prompts/
     review/                       intent_review (per-role serial walk;
                                   engine roles render from sibling
                                   intent_review/engine-bodies/<role>.eta.md)
-    seal/                         seal_intent, intent_complete, intent_approved
+    seal/                         seal_intent, pending_seal, intent_complete, intent_approved
     repair/                       safe_intent_repair, revise_unit_specs,
                                   external_review_requested
 
diff --git a/packages/haiku/src/orchestrator/prompts/index.ts b/packages/haiku/src/orchestrator/prompts/index.ts
index 4513a0466..8cfe9c27c 100644
--- a/packages/haiku/src/orchestrator/prompts/index.ts
+++ b/packages/haiku/src/orchestrator/prompts/index.ts
@@ -50,6 +50,7 @@ import safe_intent_repair from "./intent/repair/safe_intent_repair/index.js"
 import intent_review from "./intent/review/intent_review/index.js"
 import intent_approved from "./intent/seal/intent_approved/index.js"
 import intent_complete from "./intent/seal/intent_complete/index.js"
+import pending_seal from "./intent/seal/pending_seal/index.js"
 import seal_intent from "./intent/seal/seal_intent/index.js"
 // ── intent/ ───────────────────────────────────────────────────────
 import migrated from "./intent/setup/migrated/index.js"
@@ -130,6 +131,7 @@ export const actionPromptBuilders: ReadonlyMap<string, PromptBuilder> = new Map<
 	["intent_approved", intent_approved],
 	["intent_complete", intent_complete],
 	["seal_intent", seal_intent],
+	["pending_seal", pending_seal],
 	["external_review_requested", external_review_requested],
 	["revise_unit_specs", revise_unit_specs],
 	["safe_intent_repair", safe_intent_repair],
diff --git a/packages/haiku/src/orchestrator/prompts/intent/seal/pending_seal/index.ts b/packages/haiku/src/orchestrator/prompts/intent/seal/pending_seal/index.ts
new file mode 100644
index 000000000..66467db50
--- /dev/null
+++ b/packages/haiku/src/orchestrator/prompts/intent/seal/pending_seal/index.ts
@@ -0,0 +1,49 @@
+// orchestrator/prompts/intent/seal/pending_seal/index.ts — the
+// pending-seal holding prompt.
+//
+// Cursor returns `pending_seal` when every stage is built, every
+// intent-level approval is signed, reflection is done — but the
+// intent's `haiku/<slug>/main` hub branch has NOT yet landed on the
+// repo's default branch. The work is delivered to the change request;
+// the change request hasn't merged. The intent is HELD here instead of
+// sealed (`sealed_at` stays null), and the engine never performs the
+// merge itself (honors "never merge unless asked"). It seals on a later
+// tick once the merge lands. See `workflow/intent-delivery.ts`.
+
+import { existsSync, readFileSync } from "node:fs"
+import { join } from "node:path"
+import { Eta } from "eta"
+import matter from "gray-matter"
+import { loadTemplate } from "../../../_load-template.js"
+import { definePromptBuilder } from "../../../define.js"
+
+const eta = new Eta({ autoEscape: false, useWith: true })
+const TEMPLATE = loadTemplate(import.meta.url)
+
+export default definePromptBuilder(({ slug, action, dir }) => {
+	const defaultBranch =
+		(action as { default_branch?: string }).default_branch ||
+		"the default branch"
+	// Surface the delivery PR/MR url if we stamped one at intent_create
+	// (informational — the engine never gates on it). Read from intent.md
+	// FM; absent when no provider CLI was available.
+	let prUrl = ""
+	try {
+		const intentMd = join(dir, "intent.md")
+		if (existsSync(intentMd)) {
+			const fm = matter(readFileSync(intentMd, "utf8")).data as Record<
+				string,
+				unknown
+			>
+			if (typeof fm.draft_pr_url === "string") prUrl = fm.draft_pr_url
+		}
+	} catch {
+		// best-effort — the prompt still renders without the link
+	}
+	return eta.renderString(TEMPLATE, {
+		slug,
+		defaultBranch,
+		prUrl,
+		intentMain: `haiku/${slug}/main`,
+	})
+})
diff --git a/packages/haiku/src/orchestrator/workflow/cursor.ts b/packages/haiku/src/orchestrator/workflow/cursor.ts
index c1f7dbd88..0a6a45f07 100644
--- a/packages/haiku/src/orchestrator/workflow/cursor.ts
+++ b/packages/haiku/src/orchestrator/workflow/cursor.ts
@@ -79,6 +79,7 @@ import {
 } from "../studio.js"
 import { engineHandleDriftEvents } from "./drift-handle-events.js"
 import { runDriftSweep } from "./drift-sweep.js"
+import { intentDeliveryState } from "./intent-delivery.js"
 
 // Roles that dispatch as serial sequential gates (one per tick).
 // Everything else (continuity, cross-stage-consistency, studio agents)
@@ -313,6 +314,17 @@ export type CursorAction =
 	// `reflection.md` already exists for this intent.
 	| { kind: "record_reflection" }
 	| { kind: "seal_intent" }
+	// Pending seal (2026-05-28) — every stage built, every intent-scope
+	// approval signed, reflection done, but the intent's `haiku/<slug>/main`
+	// hub branch has NOT yet landed on the repo's default branch. The work
+	// is on the PR; the delivery hasn't merged. The intent is HELD here
+	// rather than sealed: `sealed_at` stays null. The engine never performs
+	// the merge (honors "never merge unless asked"); the next tick re-checks
+	// and seals once the merge lands. On pickup the delivery-verifier
+	// re-audits the open change request and files feedback for any new
+	// review comments. `default_branch` is the branch we're waiting to land
+	// on. See `intent-delivery.ts`.
+	| { kind: "pending_seal"; default_branch: string }
 	| { kind: "sealed" }
 	// Pre-dispatch validation — refuse to fire `start_unit_hat` when
 	// one or more units in the wave/dispatch set are structurally
@@ -2101,15 +2113,32 @@ export function derivePosition(args: {
 			? (intentResult.data.mode as string)
 			: "continuous"
 
-	// Sealed intent short-circuit: once intent.sealed_at is set, the
-	// intent is write-locked — no further cursor work. Architectural
-	// invariant: sealed = terminal forever, no walk.
+	// Sealed intent short-circuit: a sealed stamp is terminal — BUT only
+	// once the work has actually landed on the default branch. A sealed
+	// stamp on an intent whose `haiku/<slug>/main` is still ahead of the
+	// default branch (a premature seal, or a legacy seal from before the
+	// merge gate) is NOT done: fall through to the full walk so a pickup
+	// re-audit runs (the delivery-verifier re-checks the PR) and the
+	// terminal re-emits `pending_seal` until the merge lands. Authoritative
+	// (squash-merge-aware) read — this decides whether the lock holds.
+	// Inapplicable in filesystem mode / no default branch → merged === true
+	// → the short-circuit fires exactly as before.
+	// Computed once per tick when a seal stamp exists, then reused by the merge
+	// gate at the terminal below — `intentDeliveryState` falls back to `gh pr
+	// list` in a squash-merge repo, so probing it twice in this state is two CLI
+	// invocations per pickup tick until the PR finally seals.
+	let sealedDelivery: ReturnType<typeof intentDeliveryState> | undefined
 	if (
 		intentResult &&
 		typeof intentResult.data.sealed_at === "string" &&
 		(intentResult.data.sealed_at as string).length > 0
 	) {
-		return { track: "sealed", action: { kind: "sealed" } }
+		sealedDelivery = intentDeliveryState(slug)
+		if (!sealedDelivery.applicable || sealedDelivery.merged) {
+			return { track: "sealed", action: { kind: "sealed" } }
+		}
+		// else: sealed but not delivered — fall through to the walk; the merge
+		// gate below reuses `sealedDelivery` instead of probing again.
 	}
 
 	// Pre-intent verifier (2026-05-08). The conversation that produced
@@ -2361,16 +2390,40 @@ export function derivePosition(args: {
 		// file's existence on disk is the seen-this-cycle signal, so
 		// a re-tick after the agent wrote it falls through to
 		// seal_intent.
-		if (intentResult.data.sealed_at == null) {
-			if (isReflectionEnabled(intentDir)) {
-				const reflectionPath = join(intentDir, "reflection.md")
-				if (!existsSync(reflectionPath)) {
-					return {
-						track: "intent",
-						action: { kind: "record_reflection" },
-					}
+		// Reflection runs once, for a not-yet-sealed intent, before the
+		// merge gate (a sealed-but-unmerged intent that fell through the
+		// short-circuit already reflected — reflection.md exists / sealed_at
+		// is set).
+		if (intentResult.data.sealed_at == null && isReflectionEnabled(intentDir)) {
+			const reflectionPath = join(intentDir, "reflection.md")
+			if (!existsSync(reflectionPath)) {
+				return {
+					track: "intent",
+					action: { kind: "record_reflection" },
 				}
 			}
+		}
+		// Merge gate (2026-05-28). The intent is fully built, signed, and
+		// reflected — but it is not SEALED until its work has landed on the
+		// repo's default branch. While the hub branch is still ahead of (not
+		// merged into) the default branch, hold in `pending_seal`. This fires
+		// whether or not `sealed_at` is already stamped: a premature/legacy
+		// seal falls through the short-circuit above and is held here too, so
+		// a pickup re-audits the PR until the merge lands. Authoritative
+		// (squash-merge-aware) read. Inapplicable in filesystem mode / when no
+		// default branch resolves → `merged` is true and the seal proceeds as
+		// before.
+		const delivery = sealedDelivery ?? intentDeliveryState(slug)
+		if (delivery.applicable && !delivery.merged) {
+			return {
+				track: "intent",
+				action: {
+					kind: "pending_seal",
+					default_branch: delivery.defaultBranch,
+				},
+			}
+		}
+		if (intentResult.data.sealed_at == null) {
 			return {
 				track: "intent",
 				action: { kind: "seal_intent" },
diff --git a/packages/haiku/src/orchestrator/workflow/intent-delivery.ts b/packages/haiku/src/orchestrator/workflow/intent-delivery.ts
new file mode 100644
index 000000000..aa18ed838
--- /dev/null
+++ b/packages/haiku/src/orchestrator/workflow/intent-delivery.ts
@@ -0,0 +1,86 @@
+// intent-delivery.ts — "is this intent's work actually delivered?"
+//
+// The merge-into-default-branch signal that gates the terminal seal. An
+// intent is only SEALED (the terminal write-lock — `sealed_at` on
+// intent.md) once its `haiku/<slug>/main` hub branch has landed on the
+// repo's default branch — merged locally or via a remote PR/MR. Until
+// then the cursor holds it in `pending_seal`: every stage is built,
+// every approval is signed, the work is done — but the delivery hasn't
+// crossed the finish line, so the lifecycle stays open.
+//
+// This honors "never merge unless asked": the engine NEVER performs the
+// merge into the default branch. It only OBSERVES whether the merge has
+// happened (by the user, by a merged PR, by branch protection) and seals
+// once it has.
+//
+// Two read modes:
+//   - authoritative (default): squash-merge-aware via `isBranchMerged`
+//     (local `--is-ancestor` first, then a `gh`/`glab` merged-PR probe).
+//     Used by the cursor's terminal gate — the signal that actually
+//     writes `sealed_at` must not false-hold a squash-merged delivery.
+//   - localOnly: cheap `--is-ancestor` only, no network. Used by the
+//     list / current-state DISPLAY paths called per-request/per-intent
+//     where a `gh`/`glab` probe per intent would be too costly; a
+//     transient `pending_seal` on a squash-merged-but-not-yet-ticked
+//     intent is acceptable there (the next authoritative tick seals it).
+
+import {
+	branchExists,
+	getMainlineBranch,
+	isAncestor,
+	isBranchMerged,
+} from "../../git-worktree.js"
+import { isGitRepo } from "../../state/shared.js"
+
+export interface IntentDeliveryState {
+	/** True when the merge gate APPLIES: the repo is git-backed, a
+	 *  default branch resolves, and the intent has a `haiku/<slug>/main`
+	 *  hub branch to land. When false the gate is inapplicable
+	 *  (filesystem mode, no resolvable default, or a pre-branch intent)
+	 *  and the intent seals immediately, exactly as it did before. */
+	applicable: boolean
+	/** The resolved default branch name (empty when not applicable). */
+	defaultBranch: string
+	/** The intent's hub branch — `haiku/<slug>/main`. */
+	intentMain: string
+	/** True when `intentMain` has landed on `defaultBranch`. Always true
+	 *  when `!applicable` so callers can treat "merged" as "free to
+	 *  seal" without branching on `applicable`. */
+	merged: boolean
+}
+
+/** Resolve whether an intent's hub branch has been delivered (merged)
+ *  into the repo's default branch. See the module header for the two
+ *  read modes. */
+export function intentDeliveryState(
+	slug: string,
+	opts: { localOnly?: boolean } = {},
+): IntentDeliveryState {
+	const intentMain = `haiku/${slug}/main`
+	if (!isGitRepo()) {
+		return { applicable: false, defaultBranch: "", intentMain, merged: true }
+	}
+	const defaultBranch = getMainlineBranch()
+	// No resolvable default branch, or the intent never forked a hub
+	// branch (filesystem-shaped / pre-branch intent) → the gate is
+	// inapplicable; treat as merged so the seal proceeds as before.
+	if (!defaultBranch || !branchExists(intentMain)) {
+		return { applicable: false, defaultBranch, intentMain, merged: true }
+	}
+	const merged = opts.localOnly
+		? isAncestor(intentMain, defaultBranch) ||
+			isAncestor(intentMain, `origin/${defaultBranch}`)
+		: isBranchMerged(intentMain, defaultBranch)
+	return { applicable: true, defaultBranch, intentMain, merged }
+}
+
+/** True when the intent is HELD in pending-seal — the merge gate applies
+ *  AND the hub branch hasn't yet landed on the default branch. The
+ *  inverse of "free to seal". */
+export function isAwaitingMerge(
+	slug: string,
+	opts: { localOnly?: boolean } = {},
+): boolean {
+	const d = intentDeliveryState(slug, opts)
+	return d.applicable && !d.merged
+}
diff --git a/packages/haiku/src/orchestrator/workflow/progress-track.ts b/packages/haiku/src/orchestrator/workflow/progress-track.ts
index f38559a49..d9546ccc5 100644
--- a/packages/haiku/src/orchestrator/workflow/progress-track.ts
+++ b/packages/haiku/src/orchestrator/workflow/progress-track.ts
@@ -142,6 +142,7 @@ export function snapshotMilestoneIndex(
 		case "record_reflection":
 			return find((key) => key === "reflection")
 		case "seal_intent":
+		case "pending_seal":
 		case "sealed":
 			return find((key) => key === "seal")
 		default:
diff --git a/packages/haiku/src/parser.ts b/packages/haiku/src/parser.ts
index ad81ca466..bd856d732 100644
--- a/packages/haiku/src/parser.ts
+++ b/packages/haiku/src/parser.ts
@@ -835,6 +835,17 @@ async function parseUnitOutputs(
 				continue
 			}
 			for (const declared of outputs) {
+				// System journals (action-log.jsonl, write-audit.jsonl, drift
+				// baselines, …) are never a unit's deliverable. The source fix in
+				// `autoPopulateOutputs` stops new leaks; this drops them on the
+				// SPA surface for intents that leaked them before that landed.
+				// NOTE: this is a basename check, intentionally looser than
+				// autoPopulateOutputs' path-equality — it drops an internal name
+				// (e.g. `baseline.json`) ANYWHERE in the tree, not just the intent
+				// root. A unit that genuinely declares such a name as a real output
+				// would be filtered here; that's an accepted trade for never
+				// surfacing a journal, since those names are reserved bookkeeping.
+				if (INTENT_ROOT_INTERNAL_ENTRIES.has(basename(declared))) continue
 				const intentRel = intentRelativeOutputPath(declared, intentDir)
 				const intentAbs = resolve(intentDirAbs, intentRel)
 				const withinIntent =
diff --git a/packages/haiku/src/state-tools.ts b/packages/haiku/src/state-tools.ts
index 99c5a99d6..1c7ab1a14 100644
--- a/packages/haiku/src/state-tools.ts
+++ b/packages/haiku/src/state-tools.ts
@@ -43,6 +43,8 @@ import {
 	findCurrentStage,
 	nextHatForUnit,
 } from "./orchestrator/workflow/cursor.js"
+import { isAwaitingMerge } from "./orchestrator/workflow/intent-delivery.js"
+import { INTENT_ROOT_INTERNAL_ENTRIES } from "./stage-internal-entries.js"
 import { sanitizeFeedbackBody } from "./state/sanitize-feedback.js"
 import { readServiceProcesses } from "./view-boot.js"
 
@@ -2871,6 +2873,12 @@ function autoPopulateOutputs(
 		if (intentRel !== null) {
 			if (bookkeeping.has(intentRel)) continue
 			if (bookkeepingPrefixes.some((p) => intentRel.startsWith(p))) continue
+			// Intent-root system journals (action-log.jsonl, write-audit.jsonl,
+			// drift baselines, …) MUST never enter a unit's `outputs:` — the
+			// engine appends to them during the unit's work, so they show up in
+			// the git diff, but they aren't the unit's deliverable. Without this
+			// they leaked into outputs and rendered on the SPA / browse surfaces.
+			if (INTENT_ROOT_INTERNAL_ENTRIES.has(intentRel)) continue
 		}
 		// Record the path in its natural form: intent-relative when inside the
 		// intent dir, repo-relative otherwise.
@@ -9207,11 +9215,19 @@ export function handleStateTool(
 				const sealedAt =
 					typeof data.sealed_at === "string" && data.sealed_at.length > 0
 				const activeStage = studio ? findCurrentStage(slug, studio) : null
-				// Both "sealed_at set" and "every stage merged" surface as
-				// "completed" to callers. The distinction (sealed vs.
-				// pre-seal-complete) is internal to the engine.
-				const derivedStatus =
-					sealedAt || activeStage === null ? "completed" : "active"
+				// A sealed stamp is only "completed" once the work has landed on
+				// the default branch — otherwise it's "pending_seal" (held). Same
+				// for an all-stages-merged-but-unsealed intent: "pending_seal" if
+				// the hub branch hasn't merged, else "completed". A stage still
+				// active → "active". LOCAL-only merge probe (no gh/glab) — this is
+				// a per-intent list display; a transient pending_seal on a
+				// squash-merged-not-yet-ticked intent is acceptable.
+				let derivedStatus: string
+				if (sealedAt || activeStage === null)
+					derivedStatus = isAwaitingMerge(slug, { localOnly: true })
+						? "pending_seal"
+						: "completed"
+				else derivedStatus = "active"
 				const base: Record<string, unknown> = {
 					slug,
 					studio: data.studio,
@@ -12087,7 +12103,12 @@ export function handleStateTool(
 				if (filterStudio && studio !== filterStudio) continue
 				if (!byStudio.has(studio)) byStudio.set(studio, [])
 				// v3↔v4 dual-path: v4 has no status field on intent.md.
-				// sealed_at presence → "completed"; absence → "active".
+				// sealed_at presence → "completed"; absence → "active". This is
+				// a throughput grouping (not a phase indicator), so it stays
+				// sealed_at-only — an all-merged-but-unsealed intent (incl.
+				// pending-seal) counts as in-flight "active" here; the
+				// pending-seal distinction is surfaced by haiku_intent_list and
+				// the SPA current_state, not by this report.
 				const isV4 = typeof data.plugin_version === "string"
 				const v3Status = (data.status as string) || ""
 				const v4Status = isV4
diff --git a/packages/haiku/src/statusline/render.ts b/packages/haiku/src/statusline/render.ts
index f38cee9a2..8b09b462c 100644
--- a/packages/haiku/src/statusline/render.ts
+++ b/packages/haiku/src/statusline/render.ts
@@ -29,6 +29,10 @@ export type StatuslinePhaseKind =
 	| "gate"
 	| "complete"
 	| "sealed"
+	// Terminal-but-held: built, signed, reflected — waiting for the work to
+	// land on the default branch before it seals. Rendered gated (the human
+	// owns the merge).
+	| "pending_seal"
 	| "blocked"
 	// Engine self-maintenance the agent isn't driving: merging a fix-chain,
 	// resolving conflicts, reconciling upstream, repairing clobbered state.
@@ -273,6 +277,7 @@ const C = {
 	gate: "\x1b[38;5;170m", // magenta
 	complete: "\x1b[38;5;71m", // green
 	sealed: "\x1b[38;5;71m", // green
+	pending_seal: "\x1b[38;5;177m", // light violet — held, awaiting merge
 	blocked: "\x1b[38;5;203m", // red
 	recovering: "\x1b[38;5;44m", // cyan — engine self-maintenance (merge/repair)
 	setup: "\x1b[38;5;245m", // grey (intent-level setup phases)
diff --git a/packages/haiku/src/statusline/state.ts b/packages/haiku/src/statusline/state.ts
index 56f5bb52f..d401a20fa 100644
--- a/packages/haiku/src/statusline/state.ts
+++ b/packages/haiku/src/statusline/state.ts
@@ -29,6 +29,7 @@ import {
 	findCurrentStage,
 	isStageComplete,
 } from "../orchestrator/workflow/cursor.js"
+import { isAwaitingMerge } from "../orchestrator/workflow/intent-delivery.js"
 import {
 	actionIsFanOut,
 	deriveProgressRoleSteps,
@@ -124,8 +125,13 @@ function pickActiveIntent(haikuRoot: string): string | null {
 		const fm = readFm(join(intentsDir, slug, "intent.md"))
 		if (!fm) return false
 		if (fm.archived === true) return false
-		if (typeof fm.sealed_at === "string" && fm.sealed_at.length > 0)
-			return false
+		if (typeof fm.sealed_at === "string" && fm.sealed_at.length > 0) {
+			// A sealed stamp isn't "done" until the work has landed on the
+			// default branch. A sealed-but-unmerged intent is still live
+			// (held in pending-seal) — keep showing it. LOCAL-only probe so
+			// the status line stays fast.
+			return isAwaitingMerge(slug, { localOnly: true })
+		}
 		return true
 	})
 	if (live.length === 1) return live[0]
@@ -159,6 +165,7 @@ const INTENT_COMPLETION_KINDS = new Set([
 	"intent_review",
 	"record_reflection",
 	"seal_intent",
+	"pending_seal",
 	"sealed",
 ])
 
@@ -266,6 +273,10 @@ function describeAction(action: CursorAction | null): {
 		case "seal_intent":
 		case "sealed":
 			return { kind: "sealed", label: "sealed", gated: false }
+		case "pending_seal":
+			// Built + signed + reflected, held until the work lands on the
+			// default branch. Gated: the human owns the merge.
+			return { kind: "pending_seal", label: "pending seal", gated: true }
 		case "unit_inputs_not_declared":
 		case "unit_outputs_empty_iterations":
 			return { kind: "blocked", label: "spec error", gated: true }
@@ -579,14 +590,21 @@ export function resolveStatuslineState(): StatuslineState | null {
 		typeof intentFm.sealed_at === "string" &&
 		(intentFm.sealed_at as string).length > 0
 	) {
+		// A sealed stamp is only truly "sealed" once the work has landed on
+		// the default branch. If the hub branch is still ahead (unmerged),
+		// the intent is HELD in pending-seal — render that, not "sealed",
+		// even though the cursor stamped sealed_at (the merge gate reading at
+		// the display layer; the engine never merges). LOCAL-only probe to
+		// keep the status line fast.
+		const awaitingMerge = isAwaitingMerge(slug, { localOnly: true })
 		return {
 			intent: slug,
 			studio,
 			stages: stageList.map((name) => ({ name, status: "done" as const })),
 			activeStage: "",
-			phaseLabel: "sealed",
-			phaseKind: "sealed",
-			gated: false,
+			phaseLabel: awaitingMerge ? "pending seal" : "sealed",
+			phaseKind: awaitingMerge ? "pending_seal" : "sealed",
+			gated: awaitingMerge,
 			aggregate: "",
 			phaseTrack: null,
 			itemBars: null,
diff --git a/packages/haiku/src/tools/orchestrator/haiku_run_next.ts b/packages/haiku/src/tools/orchestrator/haiku_run_next.ts
index 63fa0db58..88b390a17 100644
--- a/packages/haiku/src/tools/orchestrator/haiku_run_next.ts
+++ b/packages/haiku/src/tools/orchestrator/haiku_run_next.ts
@@ -44,6 +44,7 @@ import {
 	uncommittedAgentWork,
 } from "../../git-worktree.js"
 import { adaptInstructions } from "../../harness-instructions.js"
+import { PR_INTERACTION_ROLES } from "../../orchestrator/review-role-classes.js"
 import {
 	findCurrentStage,
 	isStageComplete,
@@ -1319,6 +1320,53 @@ export default defineTool({
 			}
 		}
 
+		// Pending seal + pickup (2026-05-28). The intent is built, signed,
+		// and reflected, but its hub branch hasn't landed on the default
+		// branch — so the cursor is HOLDING it in `pending_seal` (no
+		// `sealed_at` written; the merge is the user's call). A pickup is the
+		// user's explicit "I'm back, re-check the delivery" signal: re-open any
+		// ALREADY-STAMPED delivery PR-interaction approval(s) so the cursor
+		// re-dispatches the delivery-verifier, which re-reads the open change
+		// request, files feedback for any NEW review comments, and re-confirms
+		// CI/mergeability before the intent can seal again. Keyed on
+		// `PR_INTERACTION_ROLES` (not a hardcoded name) so a studio that
+		// overrides or adds a PR-interaction role is re-audited too. NOTE: this
+		// only re-opens slots already present in `approvals` — if the
+		// delivery-verifier hasn't run yet (no slot stamped), nothing is
+		// re-opened here and the next regular tick dispatches it normally. A
+		// plain (non-pickup) tick just returns the holding prompt.
+		if (result.action === "pending_seal" && args.pickup === true) {
+			try {
+				const intentMd = join(findHaikuRoot(), "intents", slug, "intent.md")
+				if (existsSync(intentMd)) {
+					const { data } = parseFrontmatter(readFileSync(intentMd, "utf8"))
+					const approvals = (
+						data.approvals && typeof data.approvals === "object"
+							? { ...(data.approvals as Record<string, unknown>) }
+							: {}
+					) as Record<string, unknown>
+					let reopened = false
+					for (const role of Object.keys(approvals)) {
+						if (PR_INTERACTION_ROLES.has(role) && approvals[role] != null) {
+							approvals[role] = null
+							reopened = true
+						}
+					}
+					if (reopened) {
+						setFrontmatterField(intentMd, "approvals", approvals)
+						gitCommitState(
+							`haiku: re-open delivery review on pickup for ${slug}`,
+						)
+						result = dispatchOrchestratorAction(slug)
+					}
+				}
+			} catch (err) {
+				console.error(
+					`[haiku_run_next] pending-seal pickup re-open failed: ${err instanceof Error ? err.message : String(err)}`,
+				)
+			}
+		}
+
 		// Auto-execute for `complete_stage`: a SEMANTIC action ("stage
 		// is done"). Under a git-backed portfolio this triggers a stage
 		// branch → intent main merge; under filesystem-only backings it
diff --git a/packages/haiku/src/types.ts b/packages/haiku/src/types.ts
index 775aee54b..ce7f58db3 100644
--- a/packages/haiku/src/types.ts
+++ b/packages/haiku/src/types.ts
@@ -124,6 +124,17 @@ export interface IntentCurrentState {
 	 *  `milestones.length` when every milestone is done. */
 	progress_index?: number
 	progress_total?: number
+	/** Terminal seal state — present only once every stage has merged
+	 *  (the intent is past all stages). `"sealed"` once `sealed_at` is
+	 *  stamped; `"pending_seal"` when the work is built, signed, and
+	 *  reflected but its `haiku/<slug>/main` hub branch hasn't yet landed
+	 *  on the repo's default branch (held awaiting merge — the engine
+	 *  never merges; the human/host does). Omitted while any stage is
+	 *  still in flight. */
+	seal_status?: "sealed" | "pending_seal"
+	/** When `seal_status === "pending_seal"`, the default branch the work
+	 *  is waiting to land on (e.g. `main`). */
+	awaiting_merge_into?: string
 }
 
 export interface DiscoveryFrontmatter {
diff --git a/packages/haiku/test/_v4-fixtures.mjs b/packages/haiku/test/_v4-fixtures.mjs
index 92f3cb00e..c6d2c99ce 100644
--- a/packages/haiku/test/_v4-fixtures.mjs
+++ b/packages/haiku/test/_v4-fixtures.mjs
@@ -404,6 +404,51 @@ export function initTestRepo({ repoRoot, slug }) {
 	return { repoRoot, intentDir, slug }
 }
 
+/**
+ * Resolve the repo's default (mainline) branch — the one the engine's
+ * `getMainlineBranch()` picks. Mirrors that candidate order (main →
+ * master) for tests, falling back to the current branch.
+ */
+export function defaultBranchOf(repoRoot) {
+	for (const c of ["main", "master"]) {
+		try {
+			git(repoRoot, "rev-parse", "--verify", c)
+			return c
+		} catch {
+			/* not this candidate */
+		}
+	}
+	return git(repoRoot, "branch", "--show-current")
+}
+
+/**
+ * Simulate the human/host merging the intent's delivery (`haiku/<slug>/main`)
+ * into the repo's default branch. This is what satisfies the pending-seal
+ * merge gate (2026-05-28) so the cursor walks `seal_intent` instead of
+ * holding at `pending_seal`. The ENGINE never does this — it never merges
+ * into the default branch (honors "never merge unless asked") — so a test
+ * that drives a git-backed intent all the way to `sealed` must call this
+ * first, mirroring a real merged PR. Restores the prior checkout.
+ */
+export function deliverIntent({ repoRoot, slug }) {
+	const intentMain = `haiku/${slug}/main`
+	const def = defaultBranchOf(repoRoot)
+	const cur = git(repoRoot, "branch", "--show-current")
+	// Fast-forward the default branch ref to the hub branch tip WITHOUT a
+	// checkout — the engine leaves runtime sidecars (statusline.json,
+	// .deadlock-history.json) dirty in the tree, which would block a branch
+	// switch. `git branch -f` moves the ref in place; since the hub branch
+	// descends from the default branch's base in these fixtures this is a
+	// genuine fast-forward (== a merged delivery). Can't force the
+	// currently-checked-out branch, so fall back to a real merge in the rare
+	// case the default branch IS the checkout.
+	if (def === cur) {
+		git(repoRoot, "merge", "--no-edit", intentMain)
+	} else {
+		git(repoRoot, "branch", "-f", def, intentMain)
+	}
+}
+
 /**
  * Build a project-local studio fixture under `<repoRoot>/.haiku/studios/<studio>/`.
  * The studio search path is project-local first, so this overrides the
diff --git a/packages/haiku/test/cross-stage-fb-rewalk.test.mjs b/packages/haiku/test/cross-stage-fb-rewalk.test.mjs
index 4ed733ada..8db440e60 100644
--- a/packages/haiku/test/cross-stage-fb-rewalk.test.mjs
+++ b/packages/haiku/test/cross-stage-fb-rewalk.test.mjs
@@ -33,6 +33,7 @@ import { test } from "node:test"
 import { fileURLToPath } from "node:url"
 import matter from "gray-matter"
 import {
+	deliverIntent,
 	initTestRepo,
 	makeFeedback,
 	makeIntent,
@@ -86,6 +87,13 @@ async function withRepo(slug, fn) {
 // Kept inline so the two tests can evolve independently when their
 // hat-sequence expectations diverge.
 function applyResponse(intentDir, action, repoRoot, slug) {
+	// Merge gate (2026-05-28): when the engine holds at pending_seal, the
+	// human/host delivers the hub branch onto the default branch so the next
+	// tick can seal. The engine never performs this merge itself.
+	if (action.action === "pending_seal") {
+		deliverIntent({ repoRoot, slug })
+		return
+	}
 	const at = new Date().toISOString()
 	const stage = action.stage
 	if (!stage) {
diff --git a/packages/haiku/test/cursor-walk.test.mjs b/packages/haiku/test/cursor-walk.test.mjs
index fba14acc5..b0538b395 100644
--- a/packages/haiku/test/cursor-walk.test.mjs
+++ b/packages/haiku/test/cursor-walk.test.mjs
@@ -1543,28 +1543,13 @@ test("cursor: brand-new intent (no stages dir at all) → elaborate on first dec
 // 2026-05-08 — design_direction gate is now a discovery agent, covered
 // by the discovery_required tests above.
 
-test("cursor: brand-new intent with sealed_at already set → sealed (sanity)", async () => {
-	if (!HAS_GIT) return
-	await withTmpRepo(
-		"cursor-pre-stage-sealed",
-		async ({ repoRoot, intentDir, slug }) => {
-			makeStudio({ repoRoot, studio: "test" })
-			makeIntent({
-				intentDir,
-				slug,
-				studio: "test",
-				sealed: true,
-				approvals: {
-					spec: { at: "2026-05-06T00:00:00Z" },
-					continuity: { at: "2026-05-06T00:00:00Z" },
-					user: { at: "2026-05-06T00:00:00Z" },
-				},
-			})
-			const action = await runTick(repoRoot, slug)
-			assert.strictEqual(action.action, "sealed")
-		},
-	)
-})
+// NOTE (2026-05-28): the old "sealed_at unconditionally → sealed" sanity
+// tests were removed. The merge gate made the sealed short-circuit
+// conditional on the work having landed on the default branch, so a
+// degenerate sealed-but-unmerged fixture (no units, no verified_at) now
+// correctly falls through the short-circuit. The realistic sealed paths —
+// sealed+merged → sealed, and sealed-but-unmerged → pending_seal — are
+// covered on a real completed fixture in seal-intent-commits.test.mjs.
 
 test("cursor: intent with FB on a stage that hasn't started yet → start_feedback_hat preempts", async () => {
 	if (!HAS_GIT) return
@@ -1662,27 +1647,7 @@ test("cursor: intent restricted to subset of studio stages does NOT surface unsc
 })
 
 // ── Sealed intent ────────────────────────────────────────────────────
-
-test("cursor: sealed intent → sealed action", async () => {
-	if (!HAS_GIT) return
-	await withTmpRepo("cursor-sealed", async ({ repoRoot, intentDir, slug }) => {
-		makeStudio({ repoRoot, studio: "test" })
-		makeIntent({
-			intentDir,
-			slug,
-			studio: "test",
-			approvals: {
-				spec: { at: "t" },
-				continuity: { at: "t" },
-				user: { at: "t" },
-			},
-			sealed: true,
-		})
-		const action = await runTick(repoRoot, slug)
-		assert.strictEqual(
-			action.action,
-			"sealed",
-			`sealed intent should return sealed; got: ${action.action}`,
-		)
-	})
-})
+// (See the note above the FB-preempt test: the degenerate sealed-state
+// sanity tests were removed when the merge gate made the sealed
+// short-circuit conditional on delivery; realistic coverage lives in
+// seal-intent-commits.test.mjs.)
diff --git a/packages/haiku/test/drift-mid-flight-e2e.test.mjs b/packages/haiku/test/drift-mid-flight-e2e.test.mjs
index 5244258fd..cab777d24 100644
--- a/packages/haiku/test/drift-mid-flight-e2e.test.mjs
+++ b/packages/haiku/test/drift-mid-flight-e2e.test.mjs
@@ -30,7 +30,12 @@ import { dirname, join } from "node:path"
 import { test } from "node:test"
 import { fileURLToPath } from "node:url"
 import matter from "gray-matter"
-import { initTestRepo, makeIntent, makeStudio } from "./_v4-fixtures.mjs"
+import {
+	deliverIntent,
+	initTestRepo,
+	makeIntent,
+	makeStudio,
+} from "./_v4-fixtures.mjs"
 
 // Promoted to module scope so applyResponse and helpers can use it
 // without re-importing per call.
@@ -82,6 +87,13 @@ async function withRepo(slug, fn) {
 }
 
 function applyResponse(intentDir, action, repoRoot, slug) {
+	// Merge gate (2026-05-28): when the engine holds at pending_seal, the
+	// human/host delivers the hub branch onto the default branch so the next
+	// tick can seal. The engine never performs this merge itself.
+	if (action.action === "pending_seal") {
+		deliverIntent({ repoRoot, slug })
+		return
+	}
 	const at = new Date().toISOString()
 	const stage = action.stage
 	if (!stage) {
diff --git a/packages/haiku/test/e2e-mode-coverage.test.mjs b/packages/haiku/test/e2e-mode-coverage.test.mjs
index 732d51d55..dd52a9420 100644
--- a/packages/haiku/test/e2e-mode-coverage.test.mjs
+++ b/packages/haiku/test/e2e-mode-coverage.test.mjs
@@ -45,6 +45,7 @@ import { dirname, join, resolve } from "node:path"
 import { test } from "node:test"
 import { fileURLToPath } from "node:url"
 import matter from "gray-matter"
+import { deliverIntent } from "./_v4-fixtures.mjs"
 
 const HERE = dirname(fileURLToPath(import.meta.url))
 const SRC = join(HERE, "..", "src")
@@ -134,6 +135,13 @@ async function withRealStudioRepo(slug, fn) {
 }
 
 function applyResponse(intentDir, action, root, slug) {
+	// Merge gate (2026-05-28): when the engine holds at pending_seal, the
+	// human/host delivers the hub branch onto the default branch so the next
+	// tick can seal. The engine never performs this merge itself.
+	if (action.action === "pending_seal") {
+		deliverIntent({ repoRoot: root, slug })
+		return
+	}
 	const at = new Date().toISOString()
 	const stage = action.stage
 	if (!stage) {
diff --git a/packages/haiku/test/e2e-software-studio.test.mjs b/packages/haiku/test/e2e-software-studio.test.mjs
index 3a3bac775..0c6779fd2 100644
--- a/packages/haiku/test/e2e-software-studio.test.mjs
+++ b/packages/haiku/test/e2e-software-studio.test.mjs
@@ -35,6 +35,7 @@ import { tmpdir } from "node:os"
 import { dirname, join, resolve } from "node:path"
 import { test } from "node:test"
 import matter from "gray-matter"
+import { deliverIntent } from "./_v4-fixtures.mjs"
 
 const HAS_GIT = (() => {
 	try {
@@ -319,6 +320,13 @@ test("e2e: software-studio pipeline never wheel-spins; every action is actionabl
 // real work, but for forward-progress assertions all we need is the
 // state mutation that satisfies the cursor's predicate.
 function applyResponse(intentDir, action, root, slug) {
+	// Merge gate (2026-05-28): when the engine holds at pending_seal, the
+	// human/host delivers the hub branch onto the default branch so the next
+	// tick can seal. The engine never performs this merge itself.
+	if (action.action === "pending_seal") {
+		deliverIntent({ repoRoot: root, slug })
+		return
+	}
 	const at = new Date().toISOString()
 	const stage = action.stage
 	// Intent-scope actions (intent_review, merge_intent) carry no
diff --git a/packages/haiku/test/ensure-stage-branch-engine-fm.test.mjs b/packages/haiku/test/ensure-stage-branch-engine-fm.test.mjs
new file mode 100644
index 000000000..47895910d
--- /dev/null
+++ b/packages/haiku/test/ensure-stage-branch-engine-fm.test.mjs
@@ -0,0 +1,157 @@
+// ensure-stage-branch-engine-fm.test.mjs
+//
+// Regression (worker-new-badge, 2026-05-28): the version auto-bump to 10
+// activated the v9→v10 migration, which materializes `stages` onto intent.md.
+// When that ran on intent main mid-flight, it diverged intent main's intent.md
+// from a stage branch's. `ensureOnStageBranch` Stage 2 then did a PLAIN
+// `git merge intent-main` into the stage branch, conflicted on intent.md, and
+// left conflict markers in a workflow-managed file → the seal choked parsing
+// it (`YAMLException`), and the cursor reported "stage-branch enforcement
+// failed".
+//
+// Fix: Stage 2 routes through `engineProtectedMergeInCwd`, which re-asserts
+// engine-owned state (intent.md, units, feedback) from the TARGET — the stage
+// branch (HEAD) — exactly like the other engine merges. Per the stage-branch
+// invariant the stage is AHEAD of main and authoritative for its own state
+// (see downstream-sync-clobber.test.mjs), so target-restore is correct AND it
+// deterministically resolves intent.md to a single valid copy — no conflict
+// markers ever reach the agent in a workflow-managed file.
+//
+// Version-independent: forces the divergent-intent.md condition directly.
+
+import assert from "node:assert/strict"
+import { execFileSync } from "node:child_process"
+import {
+	existsSync,
+	mkdirSync,
+	mkdtempSync,
+	rmSync,
+	writeFileSync,
+} from "node:fs"
+import { tmpdir } from "node:os"
+import { dirname, join, resolve } from "node:path"
+import { test } from "node:test"
+import { fileURLToPath } from "node:url"
+
+const SRC = new URL("../src/", import.meta.url).pathname
+process.env.CLAUDE_PLUGIN_ROOT = resolve(
+	dirname(fileURLToPath(import.meta.url)),
+	"..",
+	"..",
+	"..",
+	"plugin",
+)
+
+const { ensureOnStageBranch } = await import(`${SRC}git-worktree.ts`)
+const { _resetIsGitRepoForTests } = await import(`${SRC}state/shared.ts`)
+
+const HAS_GIT = (() => {
+	try {
+		execFileSync("git", ["--version"], { stdio: "ignore" })
+		return true
+	} catch {
+		return false
+	}
+})()
+
+function git(cwd, ...args) {
+	return execFileSync("git", args, {
+		cwd,
+		encoding: "utf8",
+		stdio: ["ignore", "pipe", "pipe"],
+	}).trim()
+}
+
+function intentMd(extra) {
+	return [
+		"---",
+		"slug: wnb",
+		"studio: software",
+		"mode: continuous",
+		...extra,
+		"---",
+		"# intent",
+		"",
+	].join("\n")
+}
+
+test("ensureOnStageBranch merges main→stage without leaving intent.md conflicted", () => {
+	if (!HAS_GIT) return
+	const root = mkdtempSync(join(tmpdir(), "haiku-ensurefm-"))
+	const orig = process.cwd()
+	try {
+		git(root, "init", "-q", "-b", "haiku/wnb/main")
+		git(root, "config", "user.email", "t@t")
+		git(root, "config", "user.name", "t")
+		git(root, "config", "commit.gpgsign", "false")
+		const intentDir = join(root, ".haiku", "intents", "wnb")
+		mkdirSync(intentDir, { recursive: true })
+		const intentFile = join(intentDir, "intent.md")
+
+		// Base intent.md (both branches fork from here).
+		writeFileSync(
+			intentFile,
+			intentMd(["reflection: false", "approvals:", "  spec: { at: 'T0' }"]),
+		)
+		git(root, "add", "-A")
+		git(root, "commit", "-q", "-m", "base")
+
+		// Stage branch forks, then diverges intent.md (a stale approval stamp).
+		git(root, "checkout", "-q", "-b", "haiku/wnb/knowledge")
+		writeFileSync(
+			intentFile,
+			intentMd(["reflection: false", "approvals:", "  spec: { at: 'STAGE' }"]),
+		)
+		git(root, "add", "-A")
+		git(root, "commit", "-q", "-m", "stage diverges intent.md")
+
+		// Intent main independently rewrites intent.md (the migration-shaped
+		// change: materializes `stages` + a different approval stamp) — the
+		// authoritative cross-stage state.
+		git(root, "checkout", "-q", "haiku/wnb/main")
+		writeFileSync(
+			intentFile,
+			intentMd([
+				"reflection: false",
+				"stages:",
+				"  - knowledge",
+				"approvals:",
+				"  spec: { at: 'MAIN' }",
+				"  user: { at: 'MAIN' }",
+			]),
+		)
+		git(root, "add", "-A")
+		git(root, "commit", "-q", "-m", "main migration + approvals")
+
+		// Enforce the stage branch. Pre-fix: the plain merge conflicts on
+		// intent.md → ok:false, MERGE_HEAD + markers left.
+		process.chdir(root)
+		_resetIsGitRepoForTests()
+		const res = ensureOnStageBranch("wnb", "knowledge")
+
+		assert.equal(
+			res.ok,
+			true,
+			`enforcement must succeed (engine merge resolves intent.md, no markers); got: ${JSON.stringify(res)}`,
+		)
+		assert.ok(
+			!existsSync(join(root, ".git", "MERGE_HEAD")),
+			"no MERGE_HEAD left for the agent",
+		)
+		// The whole point: intent.md is a SINGLE valid copy — never conflict
+		// markers in a workflow-managed file (that's what broke the seal).
+		const onStage = git(root, "show", "HEAD:.haiku/intents/wnb/intent.md")
+		assert.ok(!onStage.includes("<<<<<<<"), "no conflict markers in intent.md")
+		assert.ok(!onStage.includes(">>>>>>>"), "no conflict markers in intent.md")
+		// Target(stage)-authoritative, consistent with the stage-branch
+		// invariant: the stage's own intent.md copy is kept (the engine guard
+		// re-asserts engine state from HEAD = the stage branch).
+		assert.ok(
+			onStage.includes("'STAGE'"),
+			`stage-authoritative intent.md must survive; got:\n${onStage}`,
+		)
+	} finally {
+		process.chdir(orig)
+		rmSync(root, { recursive: true, force: true })
+	}
+})
diff --git a/packages/haiku/test/feedback-mid-flight-e2e.test.mjs b/packages/haiku/test/feedback-mid-flight-e2e.test.mjs
index 11d10aec8..756e86623 100644
--- a/packages/haiku/test/feedback-mid-flight-e2e.test.mjs
+++ b/packages/haiku/test/feedback-mid-flight-e2e.test.mjs
@@ -27,6 +27,7 @@ import { test } from "node:test"
 import { fileURLToPath } from "node:url"
 import matter from "gray-matter"
 import {
+	deliverIntent,
 	initTestRepo,
 	makeFeedback,
 	makeIntent,
@@ -77,6 +78,13 @@ async function withRepo(slug, fn) {
 }
 
 function applyResponse(intentDir, action, repoRoot, slug) {
+	// Merge gate (2026-05-28): when the engine holds at pending_seal, the
+	// human/host delivers the hub branch onto the default branch so the next
+	// tick can seal. The engine never performs this merge itself.
+	if (action.action === "pending_seal") {
+		deliverIntent({ repoRoot, slug })
+		return
+	}
 	const at = new Date().toISOString()
 	const stage = action.stage
 	if (!stage) {
diff --git a/packages/haiku/test/multi-mode-e2e.test.mjs b/packages/haiku/test/multi-mode-e2e.test.mjs
index 2f08b4b3c..6574f36a8 100644
--- a/packages/haiku/test/multi-mode-e2e.test.mjs
+++ b/packages/haiku/test/multi-mode-e2e.test.mjs
@@ -33,7 +33,12 @@ import { dirname, join } from "node:path"
 import { test } from "node:test"
 import { fileURLToPath } from "node:url"
 import matter from "gray-matter"
-import { initTestRepo, makeIntent, makeStudio } from "./_v4-fixtures.mjs"
+import {
+	deliverIntent,
+	initTestRepo,
+	makeIntent,
+	makeStudio,
+} from "./_v4-fixtures.mjs"
 
 const HERE = dirname(fileURLToPath(import.meta.url))
 const SRC = join(HERE, "..", "src")
@@ -116,6 +121,13 @@ async function withRepo(slug, fn) {
 }
 
 function applyResponse(intentDir, action, repoRoot, slug) {
+	// Merge gate (2026-05-28): when the engine holds at pending_seal, the
+	// human/host delivers the hub branch onto the default branch so the next
+	// tick can seal. The engine never performs this merge itself.
+	if (action.action === "pending_seal") {
+		deliverIntent({ repoRoot, slug })
+		return
+	}
 	const at = new Date().toISOString()
 	const stage = action.stage
 	if (!stage) {
diff --git a/packages/haiku/test/multi-tick-pipeline.test.mjs b/packages/haiku/test/multi-tick-pipeline.test.mjs
index 0472f22fd..a8cdf4f8d 100644
--- a/packages/haiku/test/multi-tick-pipeline.test.mjs
+++ b/packages/haiku/test/multi-tick-pipeline.test.mjs
@@ -41,7 +41,12 @@ import { tmpdir } from "node:os"
 import { join } from "node:path"
 import { test } from "node:test"
 import matter from "gray-matter"
-import { initTestRepo, makeIntent, makeStudio } from "./_v4-fixtures.mjs"
+import {
+	deliverIntent,
+	initTestRepo,
+	makeIntent,
+	makeStudio,
+} from "./_v4-fixtures.mjs"
 
 const HAS_GIT = (() => {
 	try {
@@ -303,6 +308,14 @@ test("multi-tick: 3-stage continuous intent walks from elaborate to sealed", {
 					break
 				}
 
+				// Merge gate (2026-05-28): the engine holds at pending_seal
+				// until the hub branch lands on the default branch. Simulate
+				// the human/host merging the delivery so the next tick seals.
+				if (action.action === "pending_seal") {
+					deliverIntent({ repoRoot, slug })
+					continue
+				}
+
 				// React to the action. Each branch mutates disk so the next
 				// tick sees fresh state.
 				switch (action.action) {
diff --git a/packages/haiku/test/parse-output-artifacts.test.mjs b/packages/haiku/test/parse-output-artifacts.test.mjs
index b1be1e374..130386216 100644
--- a/packages/haiku/test/parse-output-artifacts.test.mjs
+++ b/packages/haiku/test/parse-output-artifacts.test.mjs
@@ -191,6 +191,39 @@ await test("unit outputs surface even when stages/<stage>/artifacts/ does not ex
 	)
 })
 
+await test("system journals (action-log.jsonl / write-audit.jsonl) never surface as outputs", async () => {
+	// The engine appends to intent-root journals during a unit's work, so they
+	// can land in `outputs:` (via git-diff auto-populate on pre-fix intents).
+	// They are NOT deliverables and must be dropped from the SPA output surface
+	// (2026-05-28). Source fix is in autoPopulateOutputs; this pins the
+	// defensive display filter.
+	const intentDir = mkdtempSync(join(tmp, "intent-journals-"))
+	const units = join(intentDir, "stages", "development", "units")
+	mkdirSync(units, { recursive: true })
+	mkdirSync(join(intentDir, "product"), { recursive: true })
+	writeFileSync(join(intentDir, "action-log.jsonl"), '{"e":1}\n')
+	writeFileSync(join(intentDir, "write-audit.jsonl"), "{}\n")
+	writeFileSync(join(intentDir, "product", "REAL.md"), "# real deliverable\n")
+	writeFileSync(
+		join(units, "unit-01-x.md"),
+		"---\ntitle: x\noutputs:\n  - action-log.jsonl\n  - write-audit.jsonl\n  - product/REAL.md\n---\n# unit body",
+	)
+	const artifacts = await parseOutputArtifacts(intentDir)
+	const names = artifacts.map((a) => a.name)
+	assert.ok(
+		!names.some((n) => n.endsWith("action-log.jsonl")),
+		`action-log.jsonl must NOT surface as an output; got ${JSON.stringify(names)}`,
+	)
+	assert.ok(
+		!names.some((n) => n.endsWith("write-audit.jsonl")),
+		`write-audit.jsonl must NOT surface as an output; got ${JSON.stringify(names)}`,
+	)
+	assert.ok(
+		names.includes("product/REAL.md"),
+		`the real deliverable must still surface; got ${JSON.stringify(names)}`,
+	)
+})
+
 await test("unit outputs are attributed to their unit's stage", async () => {
 	const intentDir = setupIntentWithUnitOutputs()
 	const artifacts = await parseOutputArtifacts(intentDir)
diff --git a/packages/haiku/test/real-intent-dry-run.test.mjs b/packages/haiku/test/real-intent-dry-run.test.mjs
index 039ba5a5e..44e8cfb74 100644
--- a/packages/haiku/test/real-intent-dry-run.test.mjs
+++ b/packages/haiku/test/real-intent-dry-run.test.mjs
@@ -29,6 +29,7 @@ import { dirname, join, resolve } from "node:path"
 import { test } from "node:test"
 import { fileURLToPath } from "node:url"
 import matter from "gray-matter"
+import { deliverIntent } from "./_v4-fixtures.mjs"
 
 const HERE = dirname(fileURLToPath(import.meta.url))
 const SRC = join(HERE, "..", "src")
@@ -132,6 +133,13 @@ async function withRealStudioRepo(slug, fn) {
  * file writes.
  */
 function applyResponse(intentDir, action, root, slug) {
+	// Merge gate (2026-05-28): when the engine holds at pending_seal, the
+	// human/host delivers the hub branch onto the default branch so the next
+	// tick can seal. The engine never performs this merge itself.
+	if (action.action === "pending_seal") {
+		deliverIntent({ repoRoot: root, slug })
+		return
+	}
 	const at = new Date().toISOString()
 	const stage = action.stage
 	if (!stage) {
diff --git a/packages/haiku/test/seal-intent-commits.test.mjs b/packages/haiku/test/seal-intent-commits.test.mjs
index 49dfc115f..96c195b11 100644
--- a/packages/haiku/test/seal-intent-commits.test.mjs
+++ b/packages/haiku/test/seal-intent-commits.test.mjs
@@ -22,6 +22,7 @@ import { test } from "node:test"
 import { fileURLToPath } from "node:url"
 import matter from "gray-matter"
 import {
+	deliverIntent,
 	initTestRepo,
 	makeIntent,
 	makeMergedUnit,
@@ -85,6 +86,11 @@ test("seal_intent COMMITS the sealed_at stamp (so the auto-push can fire)", asyn
 				spec: { at: AT },
 				continuity: { at: AT },
 				"cross-stage-consistency": { at: AT },
+				// delivery-verifier is a GLOBAL intent-review-agent every studio
+				// walks; pre-sign it so the cursor reaches the terminal merge
+				// gate (the subject under test) instead of parking on its
+				// dispatch.
+				"delivery-verifier": { at: AT },
 				user: { at: AT },
 				intent_quality_gates: { at: AT },
 			},
@@ -122,20 +128,77 @@ test("seal_intent COMMITS the sealed_at stamp (so the auto-push can fire)", asyn
 		const { _resetIsGitRepoForTests } = await import(`${SRC}/state-tools.ts`)
 		_resetIsGitRepoForTests()
 		const { handleToolCall } = await import(`${SRC}/server/tool-call.ts`)
-		// Tick until the intent seals (first tick may run the version migration;
-		// the seal walk follows once the cursor reaches all-merged + approved).
-		const actions = []
-		for (let i = 0; i < 8; i++) {
+
+		const tick = async () => {
 			const rnResp = await handleToolCall({
 				params: { name: "haiku_run_next", arguments: { intent: slug } },
 			})
-			let parsedResp
+			// The response is the action JSON, then `\n\n---\n\n`, then prose.
+			const txt = rnResp?.content?.[0]?.text ?? "{}"
+			const jsonPart = txt.split("\n\n---\n\n")[0]
 			try {
-				parsedResp = JSON.parse(rnResp?.content?.[0]?.text ?? "{}")
+				return JSON.parse(jsonPart)
 			} catch {
-				parsedResp = { action: rnResp?.content?.[0]?.text?.slice(0, 60) }
+				return { action: txt.slice(0, 60) }
 			}
-			actions.push(parsedResp.action)
+		}
+
+		// MERGE GATE (2026-05-28): the hub branch `haiku/<slug>/main` has NOT
+		// landed on the default branch yet, so the intent must HOLD at
+		// `pending_seal` — built, signed, reflected, but not delivered. It
+		// must NOT stamp `sealed_at`. (First tick may run a no-op migration;
+		// give it a couple ticks to settle on the terminal action.)
+		let preDeliverAction
+		for (let i = 0; i < 4; i++) {
+			preDeliverAction = (await tick()).action
+			if (preDeliverAction === "pending_seal") break
+		}
+		assert.equal(
+			preDeliverAction,
+			"pending_seal",
+			`unmerged intent must hold at pending_seal, got: ${preDeliverAction}`,
+		)
+		assert.ok(
+			!matter(readFileSync(intentMd, "utf8")).data.sealed_at,
+			"sealed_at must NOT be stamped while the hub branch is unmerged",
+		)
+
+		// LEGACY guard: an intent that ALREADY carries a sealed_at stamp
+		// (sealed before the merge gate, or a premature seal) must STILL hold
+		// at pending_seal while unmerged — the cursor's sealed short-circuit
+		// must NOT fire until the work lands. This is what lets a pickup
+		// re-audit the PR instead of treating the intent as done.
+		{
+			const p = matter(readFileSync(intentMd, "utf8"))
+			writeFileSync(
+				intentMd,
+				matter.stringify(p.content, {
+					...p.data,
+					sealed_at: "2026-05-24T00:00:00Z",
+				}),
+			)
+			const legacyHeld = (await tick()).action
+			assert.equal(
+				legacyHeld,
+				"pending_seal",
+				`a sealed-but-unmerged intent must stay held (not short-circuit to sealed), got: ${legacyHeld}`,
+			)
+			// Clear it so the seal-commit flow below exercises the real
+			// seal_intent stamp + commit path.
+			const p2 = matter(readFileSync(intentMd, "utf8"))
+			const { sealed_at: _drop, ...rest } = p2.data
+			writeFileSync(intentMd, matter.stringify(p2.content, rest))
+		}
+
+		// Simulate the human/host merging the delivery into the default
+		// branch — the engine never does this itself.
+		deliverIntent({ repoRoot, slug })
+
+		// Now tick until the intent seals (the cursor walks `seal_intent`
+		// once the hub branch is an ancestor of the default branch).
+		const actions = []
+		for (let i = 0; i < 8; i++) {
+			actions.push((await tick()).action)
 			if (matter(readFileSync(intentMd, "utf8")).data.sealed_at) break
 		}
 
diff --git a/packages/shared/src/format.ts b/packages/shared/src/format.ts
index c3878f252..5de5b039d 100644
--- a/packages/shared/src/format.ts
+++ b/packages/shared/src/format.ts
@@ -23,6 +23,21 @@ export function formatDuration(
 	return `${mins}m`
 }
 
+/** Format a duration given directly in milliseconds (e.g. summed active time
+ *  across iterations). Unlike formatDuration this takes a number, not a span,
+ *  and shows minutes alongside hours / seconds for sub-minute totals so a short
+ *  active time doesn't collapse to "0m". */
+export function formatDurationMs(ms: number): string {
+	if (!Number.isFinite(ms) || ms <= 0) return "0s"
+	const days = Math.floor(ms / 86400000)
+	const hours = Math.floor((ms % 86400000) / 3600000)
+	const mins = Math.floor((ms % 3600000) / 60000)
+	if (days > 0) return hours > 0 ? `${days}d ${hours}h` : `${days}d`
+	if (hours > 0) return mins > 0 ? `${hours}h ${mins}m` : `${hours}h`
+	if (mins > 0) return `${mins}m`
+	return `${Math.floor(ms / 1000)}s`
+}
+
 export function formatDate(iso: string | null): string {
 	if (!iso) return ""
 	const d = new Date(iso)
diff --git a/packages/shared/src/index.ts b/packages/shared/src/index.ts
index 8ab617ef5..9ed8b1c30 100644
--- a/packages/shared/src/index.ts
+++ b/packages/shared/src/index.ts
@@ -20,7 +20,12 @@ export type {
 // between the MCP engine and the website browse UI.
 export { deriveStageStatePure } from "./derived-stage-state"
 // Formatting utilities
-export { formatDate, formatDuration, titleCase } from "./format"
+export {
+	formatDate,
+	formatDuration,
+	formatDurationMs,
+	titleCase,
+} from "./format"
 // Frontmatter YAML utilities (duplicate-key recovery)
 export {
 	dedupeFrontmatterKeys,
diff --git a/plugin/bin/haiku.mjs b/plugin/bin/haiku.mjs
index 89e3b57bf..8db793422 100755
--- a/plugin/bin/haiku.mjs
+++ b/plugin/bin/haiku.mjs
@@ -1,77 +1,77 @@
 #!/usr/bin/env node
 import{createRequire}from"module";const require=createRequire(import.meta.url);
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RWt=e=>{if(e.hostname&&e.port)return{hostname:e.hostname,port:e.port};let t=e.host?.match(/^([^:/ ]+)(:\d{1,5})?/)||null,n=e.hostname||(t===null?"localhost":t[1]),r=e.port;return r||(t&&t[2]?r=t[2].substring(1):r=e.protocol==="https:"?"443":"80"),{hostname:n,port:r}};Tt.extractHostnameAndPort=RWt;var wWt=(e,t,n,r)=>{let i=t.hostname,s=t.port,o=e.method??"GET",a=oCe(o),c=e.headers||{},u=c["user-agent"],l=(0,Tt.getAbsoluteUrl)(e,c,`${t.component}:`,t.redactedQueryParams),d={[dt.ATTR_HTTP_URL]:l,[dt.ATTR_HTTP_METHOD]:o,[dt.ATTR_HTTP_TARGET]:e.path||"/",[dt.ATTR_NET_PEER_NAME]:i,[dt.ATTR_HTTP_HOST]:c.host??`${i}:${s}`},f={[fn.ATTR_HTTP_REQUEST_METHOD]:a,[fn.ATTR_SERVER_ADDRESS]:i,[fn.ATTR_SERVER_PORT]:Number(s),[fn.ATTR_URL_FULL]:l,[fn.ATTR_USER_AGENT_ORIGINAL]:u};switch(o!==a&&(f[fn.ATTR_HTTP_REQUEST_METHOD_ORIGINAL]=o),r&&u&&(f[dt.ATTR_USER_AGENT_SYNTHETIC_TYPE]=iCe(u)),u!==void 0&&(d[dt.ATTR_HTTP_USER_AGENT]=u),n){case rl.SemconvStability.STABLE:return Object.assign(f,t.hookAttributes);case rl.SemconvStability.OLD:return Object.assign(d,t.hookAttributes)}return Object.assign(d,f,t.hookAttributes)};Tt.getOutgoingRequestAttributes=wWt;var kWt=e=>{let t={};return t[dt.ATTR_HTTP_METHOD]=e[dt.ATTR_HTTP_METHOD],t[dt.ATTR_NET_PEER_NAME]=e[dt.ATTR_NET_PEER_NAME],t};Tt.getOutgoingRequestMetricAttributes=kWt;var IWt=(e,t)=>{e&&(t[dt.ATTR_HTTP_FLAVOR]=e,e.toUpperCase()!=="QUIC"?t[dt.ATTR_NET_TRANSPORT]=dt.NET_TRANSPORT_VALUE_IP_TCP:t[dt.ATTR_NET_TRANSPORT]=dt.NET_TRANSPORT_VALUE_IP_UDP)};Tt.setAttributesFromHttpKind=IWt;var iCe=e=>{let t=String(e).toLowerCase();for(let n of tCe.SYNTHETIC_TEST_NAMES)if(t.includes(n))return dt.USER_AGENT_SYNTHETIC_TYPE_VALUE_TEST;for(let n of tCe.SYNTHETIC_BOT_NAMES)if(t.includes(n))return dt.USER_AGENT_SYNTHETIC_TYPE_VALUE_BOT},xWt=(e,t)=>{let{statusCode:n,statusMessage:r,httpVersion:i,socket:s}=e,o={},a={};if(n!=null&&(a[fn.ATTR_HTTP_RESPONSE_STATUS_CODE]=n),s){let{remoteAddress:c,remotePort:u}=s;o[dt.ATTR_NET_PEER_IP]=c,o[dt.ATTR_NET_PEER_PORT]=u,a[fn.ATTR_NETWORK_PEER_ADDRESS]=c,a[fn.ATTR_NETWORK_PEER_PORT]=u,a[fn.ATTR_NETWORK_PROTOCOL_VERSION]=e.httpVersion}switch((0,Tt.setResponseContentLengthAttribute)(e,o),n&&(o[dt.ATTR_HTTP_STATUS_CODE]=n,o[pj.AttributeNames.HTTP_STATUS_TEXT]=(r||"").toUpperCase()),(0,Tt.setAttributesFromHttpKind)(i,o),t){case rl.SemconvStability.STABLE:return a;case rl.SemconvStability.OLD:return o}return Object.assign(o,a)};Tt.getOutgoingRequestAttributesOnResponse=xWt;var OWt=e=>{let t={};return t[dt.ATTR_NET_PEER_PORT]=e[dt.ATTR_NET_PEER_PORT],t[dt.ATTR_HTTP_STATUS_CODE]=e[dt.ATTR_HTTP_STATUS_CODE],t[dt.ATTR_HTTP_FLAVOR]=e[dt.ATTR_HTTP_FLAVOR],t};Tt.getOutgoingRequestMetricAttributesOnResponse=OWt;var NWt=e=>{let t={};return e[fn.ATTR_NETWORK_PROTOCOL_VERSION]&&(t[fn.ATTR_NETWORK_PROTOCOL_VERSION]=e[fn.ATTR_NETWORK_PROTOCOL_VERSION]),e[fn.ATTR_HTTP_RESPONSE_STATUS_CODE]&&(t[fn.ATTR_HTTP_RESPONSE_STATUS_CODE]=e[fn.ATTR_HTTP_RESPONSE_STATUS_CODE]),t};Tt.getOutgoingStableRequestMetricAttributesOnResponse=NWt;function py(e,t){let n=e.split(":");if(n.length===1)return t==="http"?{host:n[0],port:"80"}:t==="https"?{host:n[0],port:"443"}:{host:n[0]};if(n.length===2)return{host:n[0],port:n[1]};if(n[0].startsWith("[")){if(n[n.length-1].endsWith("]")){if(t==="http")return{host:e,port:"80"};if(t==="https")return{host:e,port:"443"}}else if(n[n.length-2].endsWith("]"))return{host:n.slice(0,-1).join(":"),port:n[n.length-1]}}return{host:e}}function PWt(e,t){let n=e.headers.forwarded;if(n){for(let s of aCe(n))if(s.host)return py(s.host,s.proto)}let r=e.headers["x-forwarded-host"];if(typeof r=="string")return typeof e.headers["x-forwarded-proto"]=="string"?py(r,e.headers["x-forwarded-proto"]):Array.isArray(e.headers["x-forwarded-proto"])?py(r,e.headers["x-forwarded-proto"][0]):py(r);if(Array.isArray(r)&&typeof r[0]=="string"&&r[0].length>0)return typeof e.headers["x-forwarded-proto"]=="string"?py(r[0],e.headers["x-forwarded-proto"]):Array.isArray(e.headers["x-forwarded-proto"])?py(r[0],e.headers["x-forwarded-proto"][0]):py(r[0]);let i=e.headers.host;return typeof i=="string"&&i.length>0?py(i,t):null}function sCe(e){let t=e.headers.forwarded;if(t){for(let i of aCe(t))if(i.for)return nCe(i.for)}let n=e.headers["x-forwarded-for"];if(n){let i;if(typeof n=="string"?i=n:Array.isArray(n)&&(i=n[0]),typeof i=="string")return i=i.split(",")[0].trim(),nCe(i)}let r=e.socket.remoteAddress;return r||null}Tt.getRemoteClientAddress=sCe;function nCe(e){try{let{hostname:t}=new URL(`http://${e}`);return t.startsWith("[")&&t.endsWith("]")?t.slice(1,-1):t}catch{return e}}function CWt(e,t,n){try{if(t.headers.host)return new URL(t.url??"/",`${e}://${t.headers.host}`);{let r=new URL(t.url??"/",`${e}://localhost`);return{pathname:r.pathname,search:r.search,toString:function(){return r.pathname+r.search}}}}catch(r){return n.verbose("Unable to get URL from request",r),{}}}var MWt=(e,t,n)=>{let{component:r,enableSyntheticSourceDetection:i,hookAttributes:s,semconvStability:o,serverName:a}=t,{headers:c,httpVersion:u,method:l}=e,{host:d,"user-agent":f,"x-forwarded-for":p}=c,h=CWt(r,e,n),m,y;if(o!==rl.SemconvStability.OLD){let g=oCe(l),E=PWt(e,r),S=sCe(e);m={[fn.ATTR_HTTP_REQUEST_METHOD]:g,[fn.ATTR_URL_SCHEME]:r,[fn.ATTR_SERVER_ADDRESS]:E?.host,[fn.ATTR_NETWORK_PEER_ADDRESS]:e.socket.remoteAddress,[fn.ATTR_NETWORK_PEER_PORT]:e.socket.remotePort,[fn.ATTR_NETWORK_PROTOCOL_VERSION]:e.httpVersion,[fn.ATTR_USER_AGENT_ORIGINAL]:f},h.pathname!=null&&(m[fn.ATTR_URL_PATH]=h.pathname),h.search&&(m[fn.ATTR_URL_QUERY]=h.search.slice(1)),S!=null&&(m[fn.ATTR_CLIENT_ADDRESS]=S),E?.port!=null&&(m[fn.ATTR_SERVER_PORT]=Number(E.port)),l!==g&&(m[fn.ATTR_HTTP_REQUEST_METHOD_ORIGINAL]=l),i&&f&&(m[dt.ATTR_USER_AGENT_SYNTHETIC_TYPE]=iCe(f))}if(o!==rl.SemconvStability.STABLE){let g=d?.replace(/^(.*)(:[0-9]{1,5})/,"$1")||"localhost";y={[dt.ATTR_HTTP_URL]:h.toString(),[dt.ATTR_HTTP_HOST]:d,[dt.ATTR_NET_HOST_NAME]:g,[dt.ATTR_HTTP_METHOD]:l,[dt.ATTR_HTTP_SCHEME]:r},typeof p=="string"&&(y[dt.ATTR_HTTP_CLIENT_IP]=p.split(",")[0]),typeof a=="string"&&(y[dt.ATTR_HTTP_SERVER_NAME]=a),h.pathname&&(y[dt.ATTR_HTTP_TARGET]=h.pathname+h.search||"/"),f!==void 0&&(y[dt.ATTR_HTTP_USER_AGENT]=f),(0,Tt.setRequestContentLengthAttribute)(e,y),(0,Tt.setAttributesFromHttpKind)(u,y)}switch(o){case rl.SemconvStability.STABLE:return Object.assign(m,s);case rl.SemconvStability.OLD:return Object.assign(y,s);default:return Object.assign(y,m,s)}};Tt.getIncomingRequestAttributes=MWt;var DWt=e=>{let t={};return t[dt.ATTR_HTTP_SCHEME]=e[dt.ATTR_HTTP_SCHEME],t[dt.ATTR_HTTP_METHOD]=e[dt.ATTR_HTTP_METHOD],t[dt.ATTR_NET_HOST_NAME]=e[dt.ATTR_NET_HOST_NAME],t[dt.ATTR_HTTP_FLAVOR]=e[dt.ATTR_HTTP_FLAVOR],t};Tt.getIncomingRequestMetricAttributes=DWt;var LWt=(e,t,n)=>{let{socket:r}=e,{statusCode:i,statusMessage:s}=t,o={[fn.ATTR_HTTP_RESPONSE_STATUS_CODE]:i},a=(0,eCe.getRPCMetadata)(AO.context.active()),c={};if(r){let{localAddress:u,localPort:l,remoteAddress:d,remotePort:f}=r;c[dt.ATTR_NET_HOST_IP]=u,c[dt.ATTR_NET_HOST_PORT]=l,c[dt.ATTR_NET_PEER_IP]=d,c[dt.ATTR_NET_PEER_PORT]=f}switch(c[dt.ATTR_HTTP_STATUS_CODE]=i,c[pj.AttributeNames.HTTP_STATUS_TEXT]=(s||"").toUpperCase(),a?.type===eCe.RPCType.HTTP&&a.route!==void 0&&(c[fn.ATTR_HTTP_ROUTE]=a.route,o[fn.ATTR_HTTP_ROUTE]=a.route),n){case rl.SemconvStability.STABLE:return o;case rl.SemconvStability.OLD:return c}return Object.assign(c,o)};Tt.getIncomingRequestAttributesOnResponse=LWt;var UWt=e=>{let t={};return t[dt.ATTR_HTTP_STATUS_CODE]=e[dt.ATTR_HTTP_STATUS_CODE],t[dt.ATTR_NET_HOST_PORT]=e[dt.ATTR_NET_HOST_PORT],e[fn.ATTR_HTTP_ROUTE]!==void 0&&(t[fn.ATTR_HTTP_ROUTE]=e[fn.ATTR_HTTP_ROUTE]),t};Tt.getIncomingRequestMetricAttributesOnResponse=UWt;var FWt=e=>{let t={};return e[fn.ATTR_HTTP_ROUTE]!==void 0&&(t[fn.ATTR_HTTP_ROUTE]=e[fn.ATTR_HTTP_ROUTE]),e[fn.ATTR_HTTP_RESPONSE_STATUS_CODE]&&(t[fn.ATTR_HTTP_RESPONSE_STATUS_CODE]=e[fn.ATTR_HTTP_RESPONSE_STATUS_CODE]),t};Tt.getIncomingStableRequestMetricAttributesOnResponse=FWt;function jWt(e,t,n){let r=new Map;for(let i=0,s=t.length;i<s;i++){let o=t[i].toLowerCase();n&rl.SemconvStability.STABLE?r.set(o,o):r.set(o,o.replaceAll("-","_"))}return i=>{let s={};for(let o of r.keys()){let a=i(o);if(a===void 0)continue;let c=r.get(o),u=`http.${e}.header.${c}`;typeof a=="string"?s[u]=[a]:Array.isArray(a)?s[u]=a:s[u]=[a]}return s}}Tt.headerCapture=jWt;var HWt=new Set(["GET","HEAD","POST","PUT","DELETE","CONNECT","OPTIONS","TRACE","PATCH","QUERY"]);function oCe(e){if(e==null)return"GET";let t=e.toUpperCase();return HWt.has(t)?t:"_OTHER"}function aCe(e){try{return hWt(e)}catch{return[]}}});var uCe=w(hj=>{"use strict";Object.defineProperty(hj,"__esModule",{value:!0});hj.HttpInstrumentation=void 0;var tn=(Ce(),ke(Ye)),hy=fr(),qWt=Z("url"),BWt=BNe(),Mo=Yt(),fX=Z("events"),Oi=(Nn(),ke(Mr)),Is=cCe(),pX=class extends Mo.InstrumentationBase{_spanNotEnded=new WeakSet;_headerCapture;_httpPatched=!1;_httpsPatched=!1;_semconvStability=Mo.SemconvStability.OLD;constructor(t={}){super("@opentelemetry/instrumentation-http",BWt.VERSION,t),this._semconvStability=(0,Mo.semconvStabilityFromStr)("http",process.env.OTEL_SEMCONV_STABILITY_OPT_IN),this._headerCapture=this._createHeaderCapture(this._semconvStability)}_updateMetricInstruments(){this._oldHttpServerDurationHistogram=this.meter.createHistogram("http.server.duration",{description:"Measures the duration of inbound HTTP requests.",unit:"ms",valueType:tn.ValueType.DOUBLE}),this._oldHttpClientDurationHistogram=this.meter.createHistogram("http.client.duration",{description:"Measures the duration of outbound HTTP requests.",unit:"ms",valueType:tn.ValueType.DOUBLE}),this._stableHttpServerDurationHistogram=this.meter.createHistogram(Oi.METRIC_HTTP_SERVER_REQUEST_DURATION,{description:"Duration of HTTP server requests.",unit:"s",valueType:tn.ValueType.DOUBLE,advice:{explicitBucketBoundaries:[.005,.01,.025,.05,.075,.1,.25,.5,.75,1,2.5,5,7.5,10]}}),this._stableHttpClientDurationHistogram=this.meter.createHistogram(Oi.METRIC_HTTP_CLIENT_REQUEST_DURATION,{description:"Duration of HTTP client requests.",unit:"s",valueType:tn.ValueType.DOUBLE,advice:{explicitBucketBoundaries:[.005,.01,.025,.05,.075,.1,.25,.5,.75,1,2.5,5,7.5,10]}})}_recordServerDuration(t,n,r){this._semconvStability&Mo.SemconvStability.OLD&&this._oldHttpServerDurationHistogram.record(t,n),this._semconvStability&Mo.SemconvStability.STABLE&&this._stableHttpServerDurationHistogram.record(t/1e3,r)}_recordClientDuration(t,n,r){this._semconvStability&Mo.SemconvStability.OLD&&this._oldHttpClientDurationHistogram.record(t,n),this._semconvStability&Mo.SemconvStability.STABLE&&this._stableHttpClientDurationHistogram.record(t/1e3,r)}setConfig(t={}){super.setConfig(t),this._headerCapture=this._createHeaderCapture(this._semconvStability)}init(){return[this._getHttpsInstrumentation(),this._getHttpInstrumentation()]}_getHttpInstrumentation(){return new Mo.InstrumentationNodeModuleDefinition("http",["*"],t=>{if(this._httpPatched)return t;this._httpPatched=!0;let n=t[Symbol.toStringTag]==="Module";if(!this.getConfig().disableOutgoingRequestInstrumentation){let r=this._wrap(t,"request",this._getPatchOutgoingRequestFunction("http")),i=this._wrap(t,"get",this._getPatchOutgoingGetFunction(r));n&&(t.default.request=r,t.default.get=i)}return this.getConfig().disableIncomingRequestInstrumentation||this._wrap(t.Server.prototype,"emit",this._getPatchIncomingRequestFunction("http")),t},t=>{this._httpPatched=!1,t!==void 0&&(this.getConfig().disableOutgoingRequestInstrumentation||(this._unwrap(t,"request"),this._unwrap(t,"get")),this.getConfig().disableIncomingRequestInstrumentation||this._unwrap(t.Server.prototype,"emit"))})}_getHttpsInstrumentation(){return new Mo.InstrumentationNodeModuleDefinition("https",["*"],t=>{if(this._httpsPatched)return t;this._httpsPatched=!0;let n=t[Symbol.toStringTag]==="Module";if(!this.getConfig().disableOutgoingRequestInstrumentation){let r=this._wrap(t,"request",this._getPatchHttpsOutgoingRequestFunction("https")),i=this._wrap(t,"get",this._getPatchHttpsOutgoingGetFunction(r));n&&(t.default.request=r,t.default.get=i)}return this.getConfig().disableIncomingRequestInstrumentation||this._wrap(t.Server.prototype,"emit",this._getPatchIncomingRequestFunction("https")),t},t=>{this._httpsPatched=!1,t!==void 0&&(this.getConfig().disableOutgoingRequestInstrumentation||(this._unwrap(t,"request"),this._unwrap(t,"get")),this.getConfig().disableIncomingRequestInstrumentation||this._unwrap(t.Server.prototype,"emit"))})}_getPatchIncomingRequestFunction(t){return n=>this._incomingRequestFunction(t,n)}_getPatchOutgoingRequestFunction(t){return n=>this._outgoingRequestFunction(t,n)}_getPatchOutgoingGetFunction(t){return n=>function(i,...s){let o=t(i,...s);return o.end(),o}}_getPatchHttpsOutgoingRequestFunction(t){return n=>{let r=this;return function(s,...o){return t==="https"&&typeof s=="object"&&s?.constructor?.name!=="URL"&&(s=Object.assign({},s),r._setDefaultOptions(s)),r._getPatchOutgoingRequestFunction(t)(n)(s,...o)}}}_setDefaultOptions(t){t.protocol=t.protocol||"https:",t.port=t.port||443}_getPatchHttpsOutgoingGetFunction(t){return n=>{let r=this;return function(s,...o){return r._getPatchOutgoingGetFunction(t)(n)(s,...o)}}}_traceClientRequest(t,n,r,i,s){this.getConfig().requestHook&&this._callRequestHook(n,t);let o=!1;return t.prependListener("response",a=>{this._diag.debug("outgoingRequest on response()"),t.listenerCount("response")<=1&&a.resume();let c=(0,Is.getOutgoingRequestAttributesOnResponse)(a,this._semconvStability);n.setAttributes(c),i=Object.assign(i,(0,Is.getOutgoingRequestMetricAttributesOnResponse)(c)),s=Object.assign(s,(0,Is.getOutgoingStableRequestMetricAttributesOnResponse)(c)),this.getConfig().responseHook&&this._callResponseHook(n,a),n.setAttributes(this._headerCapture.client.captureRequestHeaders(l=>t.getHeader(l))),n.setAttributes(this._headerCapture.client.captureResponseHeaders(l=>a.headers[l])),tn.context.bind(tn.context.active(),a);let u=()=>{if(this._diag.debug("outgoingRequest on end()"),o)return;o=!0;let l;a.aborted&&!a.complete?l={code:tn.SpanStatusCode.ERROR}:l={code:(0,Is.parseResponseStatus)(tn.SpanKind.CLIENT,a.statusCode)},n.setStatus(l),this.getConfig().applyCustomAttributesOnSpan&&(0,Mo.safeExecuteInTheMiddle)(()=>this.getConfig().applyCustomAttributesOnSpan(n,t,a),()=>{},!0),this._closeHttpSpan(n,tn.SpanKind.CLIENT,r,i,s)};a.on("end",u),a.on(fX.errorMonitor,l=>{this._diag.debug("outgoingRequest on error()",l),!o&&(o=!0,this._onOutgoingRequestError(n,i,s,r,l))})}),t.on("close",()=>{this._diag.debug("outgoingRequest on request close()"),!(t.aborted||o)&&(o=!0,this._closeHttpSpan(n,tn.SpanKind.CLIENT,r,i,s))}),t.on(fX.errorMonitor,a=>{this._diag.debug("outgoingRequest on request error()",a),!o&&(o=!0,this._onOutgoingRequestError(n,i,s,r,a))}),this._diag.debug("http.ClientRequest return request"),t}_incomingRequestFunction(t,n){let r=this;return function(s,...o){if(s!=="request")return n.apply(this,[s,...o]);let a=o[0],c=o[1],u=a.method||"GET";if(r._diag.debug(`${t} instrumentation incomingRequest`),(0,Mo.safeExecuteInTheMiddle)(()=>r.getConfig().ignoreIncomingRequestHook?.(a),S=>{S!=null&&r._diag.error("caught ignoreIncomingRequestHook error: ",S)},!0))return tn.context.with((0,hy.suppressTracing)(tn.context.active()),()=>(tn.context.bind(tn.context.active(),a),tn.context.bind(tn.context.active(),c),n.apply(this,[s,...o])));let l=a.headers,d=(0,Is.getIncomingRequestAttributes)(a,{component:t,serverName:r.getConfig().serverName,hookAttributes:r._callStartSpanHook(a,r.getConfig().startIncomingSpanHook),semconvStability:r._semconvStability,enableSyntheticSourceDetection:r.getConfig().enableSyntheticSourceDetection||!1},r._diag);Object.assign(d,r._headerCapture.server.captureRequestHeaders(S=>a.headers[S]));let f={kind:tn.SpanKind.SERVER,attributes:d},p=(0,hy.hrTime)(),h=(0,Is.getIncomingRequestMetricAttributes)(d),m={[Oi.ATTR_HTTP_REQUEST_METHOD]:d[Oi.ATTR_HTTP_REQUEST_METHOD],[Oi.ATTR_URL_SCHEME]:d[Oi.ATTR_URL_SCHEME]};d[Oi.ATTR_NETWORK_PROTOCOL_VERSION]&&(m[Oi.ATTR_NETWORK_PROTOCOL_VERSION]=d[Oi.ATTR_NETWORK_PROTOCOL_VERSION]);let y=tn.propagation.extract(tn.ROOT_CONTEXT,l),g=r._startHttpSpan(u,f,y),E={type:hy.RPCType.HTTP,span:g};return 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qWt=e=>{if(e.hostname&&e.port)return{hostname:e.hostname,port:e.port};let t=e.host?.match(/^([^:/ ]+)(:\d{1,5})?/)||null,n=e.hostname||(t===null?"localhost":t[1]),r=e.port;return r||(t&&t[2]?r=t[2].substring(1):r=e.protocol==="https:"?"443":"80"),{hostname:n,port:r}};Tt.extractHostnameAndPort=qWt;var BWt=(e,t,n,r)=>{let i=t.hostname,s=t.port,o=e.method??"GET",a=SCe(o),c=e.headers||{},u=c["user-agent"],l=(0,Tt.getAbsoluteUrl)(e,c,`${t.component}:`,t.redactedQueryParams),d={[dt.ATTR_HTTP_URL]:l,[dt.ATTR_HTTP_METHOD]:o,[dt.ATTR_HTTP_TARGET]:e.path||"/",[dt.ATTR_NET_PEER_NAME]:i,[dt.ATTR_HTTP_HOST]:c.host??`${i}:${s}`},f={[fn.ATTR_HTTP_REQUEST_METHOD]:a,[fn.ATTR_SERVER_ADDRESS]:i,[fn.ATTR_SERVER_PORT]:Number(s),[fn.ATTR_URL_FULL]:l,[fn.ATTR_USER_AGENT_ORIGINAL]:u};switch(o!==a&&(f[fn.ATTR_HTTP_REQUEST_METHOD_ORIGINAL]=o),r&&u&&(f[dt.ATTR_USER_AGENT_SYNTHETIC_TYPE]=gCe(u)),u!==void 0&&(d[dt.ATTR_HTTP_USER_AGENT]=u),n){case ol.SemconvStability.STABLE:return Object.assign(f,t.hookAttributes);case ol.SemconvStability.OLD:return Object.assign(d,t.hookAttributes)}return Object.assign(d,f,t.hookAttributes)};Tt.getOutgoingRequestAttributes=BWt;var zWt=e=>{let t={};return t[dt.ATTR_HTTP_METHOD]=e[dt.ATTR_HTTP_METHOD],t[dt.ATTR_NET_PEER_NAME]=e[dt.ATTR_NET_PEER_NAME],t};Tt.getOutgoingRequestMetricAttributes=zWt;var GWt=(e,t)=>{e&&(t[dt.ATTR_HTTP_FLAVOR]=e,e.toUpperCase()!=="QUIC"?t[dt.ATTR_NET_TRANSPORT]=dt.NET_TRANSPORT_VALUE_IP_TCP:t[dt.ATTR_NET_TRANSPORT]=dt.NET_TRANSPORT_VALUE_IP_UDP)};Tt.setAttributesFromHttpKind=GWt;var gCe=e=>{let t=String(e).toLowerCase();for(let n of pCe.SYNTHETIC_TEST_NAMES)if(t.includes(n))return dt.USER_AGENT_SYNTHETIC_TYPE_VALUE_TEST;for(let n of pCe.SYNTHETIC_BOT_NAMES)if(t.includes(n))return dt.USER_AGENT_SYNTHETIC_TYPE_VALUE_BOT},VWt=(e,t)=>{let{statusCode:n,statusMessage:r,httpVersion:i,socket:s}=e,o={},a={};if(n!=null&&(a[fn.ATTR_HTTP_RESPONSE_STATUS_CODE]=n),s){let{remoteAddress:c,remotePort:u}=s;o[dt.ATTR_NET_PEER_IP]=c,o[dt.ATTR_NET_PEER_PORT]=u,a[fn.ATTR_NETWORK_PEER_ADDRESS]=c,a[fn.ATTR_NETWORK_PEER_PORT]=u,a[fn.ATTR_NETWORK_PROTOCOL_VERSION]=e.httpVersion}switch((0,Tt.setResponseContentLengthAttribute)(e,o),n&&(o[dt.ATTR_HTTP_STATUS_CODE]=n,o[wj.AttributeNames.HTTP_STATUS_TEXT]=(r||"").toUpperCase()),(0,Tt.setAttributesFromHttpKind)(i,o),t){case ol.SemconvStability.STABLE:return a;case ol.SemconvStability.OLD:return o}return Object.assign(o,a)};Tt.getOutgoingRequestAttributesOnResponse=VWt;var WWt=e=>{let t={};return t[dt.ATTR_NET_PEER_PORT]=e[dt.ATTR_NET_PEER_PORT],t[dt.ATTR_HTTP_STATUS_CODE]=e[dt.ATTR_HTTP_STATUS_CODE],t[dt.ATTR_HTTP_FLAVOR]=e[dt.ATTR_HTTP_FLAVOR],t};Tt.getOutgoingRequestMetricAttributesOnResponse=WWt;var KWt=e=>{let t={};return e[fn.ATTR_NETWORK_PROTOCOL_VERSION]&&(t[fn.ATTR_NETWORK_PROTOCOL_VERSION]=e[fn.ATTR_NETWORK_PROTOCOL_VERSION]),e[fn.ATTR_HTTP_RESPONSE_STATUS_CODE]&&(t[fn.ATTR_HTTP_RESPONSE_STATUS_CODE]=e[fn.ATTR_HTTP_RESPONSE_STATUS_CODE]),t};Tt.getOutgoingStableRequestMetricAttributesOnResponse=KWt;function my(e,t){let n=e.split(":");if(n.length===1)return t==="http"?{host:n[0],port:"80"}:t==="https"?{host:n[0],port:"443"}:{host:n[0]};if(n.length===2)return{host:n[0],port:n[1]};if(n[0].startsWith("[")){if(n[n.length-1].endsWith("]")){if(t==="http")return{host:e,port:"80"};if(t==="https")return{host:e,port:"443"}}else if(n[n.length-2].endsWith("]"))return{host:n.slice(0,-1).join(":"),port:n[n.length-1]}}return{host:e}}function YWt(e,t){let n=e.headers.forwarded;if(n){for(let s of bCe(n))if(s.host)return my(s.host,s.proto)}let r=e.headers["x-forwarded-host"];if(typeof r=="string")return typeof e.headers["x-forwarded-proto"]=="string"?my(r,e.headers["x-forwarded-proto"]):Array.isArray(e.headers["x-forwarded-proto"])?my(r,e.headers["x-forwarded-proto"][0]):my(r);if(Array.isArray(r)&&typeof r[0]=="string"&&r[0].length>0)return typeof e.headers["x-forwarded-proto"]=="string"?my(r[0],e.headers["x-forwarded-proto"]):Array.isArray(e.headers["x-forwarded-proto"])?my(r[0],e.headers["x-forwarded-proto"][0]):my(r[0]);let i=e.headers.host;return typeof i=="string"&&i.length>0?my(i,t):null}function yCe(e){let t=e.headers.forwarded;if(t){for(let i of bCe(t))if(i.for)return hCe(i.for)}let n=e.headers["x-forwarded-for"];if(n){let i;if(typeof n=="string"?i=n:Array.isArray(n)&&(i=n[0]),typeof i=="string")return i=i.split(",")[0].trim(),hCe(i)}let r=e.socket.remoteAddress;return r||null}Tt.getRemoteClientAddress=yCe;function hCe(e){try{let{hostname:t}=new URL(`http://${e}`);return t.startsWith("[")&&t.endsWith("]")?t.slice(1,-1):t}catch{return e}}function ZWt(e,t,n){try{if(t.headers.host)return new URL(t.url??"/",`${e}://${t.headers.host}`);{let r=new URL(t.url??"/",`${e}://localhost`);return{pathname:r.pathname,search:r.search,toString:function(){return r.pathname+r.search}}}}catch(r){return n.verbose("Unable to get URL from request",r),{}}}var JWt=(e,t,n)=>{let{component:r,enableSyntheticSourceDetection:i,hookAttributes:s,semconvStability:o,serverName:a}=t,{headers:c,httpVersion:u,method:l}=e,{host:d,"user-agent":f,"x-forwarded-for":p}=c,h=ZWt(r,e,n),m,g;if(o!==ol.SemconvStability.OLD){let y=SCe(l),b=YWt(e,r),S=yCe(e);m={[fn.ATTR_HTTP_REQUEST_METHOD]:y,[fn.ATTR_URL_SCHEME]:r,[fn.ATTR_SERVER_ADDRESS]:b?.host,[fn.ATTR_NETWORK_PEER_ADDRESS]:e.socket.remoteAddress,[fn.ATTR_NETWORK_PEER_PORT]:e.socket.remotePort,[fn.ATTR_NETWORK_PROTOCOL_VERSION]:e.httpVersion,[fn.ATTR_USER_AGENT_ORIGINAL]:f},h.pathname!=null&&(m[fn.ATTR_URL_PATH]=h.pathname),h.search&&(m[fn.ATTR_URL_QUERY]=h.search.slice(1)),S!=null&&(m[fn.ATTR_CLIENT_ADDRESS]=S),b?.port!=null&&(m[fn.ATTR_SERVER_PORT]=Number(b.port)),l!==y&&(m[fn.ATTR_HTTP_REQUEST_METHOD_ORIGINAL]=l),i&&f&&(m[dt.ATTR_USER_AGENT_SYNTHETIC_TYPE]=gCe(f))}if(o!==ol.SemconvStability.STABLE){let y=d?.replace(/^(.*)(:[0-9]{1,5})/,"$1")||"localhost";g={[dt.ATTR_HTTP_URL]:h.toString(),[dt.ATTR_HTTP_HOST]:d,[dt.ATTR_NET_HOST_NAME]:y,[dt.ATTR_HTTP_METHOD]:l,[dt.ATTR_HTTP_SCHEME]:r},typeof p=="string"&&(g[dt.ATTR_HTTP_CLIENT_IP]=p.split(",")[0]),typeof a=="string"&&(g[dt.ATTR_HTTP_SERVER_NAME]=a),h.pathname&&(g[dt.ATTR_HTTP_TARGET]=h.pathname+h.search||"/"),f!==void 0&&(g[dt.ATTR_HTTP_USER_AGENT]=f),(0,Tt.setRequestContentLengthAttribute)(e,g),(0,Tt.setAttributesFromHttpKind)(u,g)}switch(o){case ol.SemconvStability.STABLE:return Object.assign(m,s);case ol.SemconvStability.OLD:return Object.assign(g,s);default:return Object.assign(g,m,s)}};Tt.getIncomingRequestAttributes=JWt;var XWt=e=>{let t={};return t[dt.ATTR_HTTP_SCHEME]=e[dt.ATTR_HTTP_SCHEME],t[dt.ATTR_HTTP_METHOD]=e[dt.ATTR_HTTP_METHOD],t[dt.ATTR_NET_HOST_NAME]=e[dt.ATTR_NET_HOST_NAME],t[dt.ATTR_HTTP_FLAVOR]=e[dt.ATTR_HTTP_FLAVOR],t};Tt.getIncomingRequestMetricAttributes=XWt;var QWt=(e,t,n)=>{let{socket:r}=e,{statusCode:i,statusMessage:s}=t,o={[fn.ATTR_HTTP_RESPONSE_STATUS_CODE]:i},a=(0,fCe.getRPCMetadata)(PO.context.active()),c={};if(r){let{localAddress:u,localPort:l,remoteAddress:d,remotePort:f}=r;c[dt.ATTR_NET_HOST_IP]=u,c[dt.ATTR_NET_HOST_PORT]=l,c[dt.ATTR_NET_PEER_IP]=d,c[dt.ATTR_NET_PEER_PORT]=f}switch(c[dt.ATTR_HTTP_STATUS_CODE]=i,c[wj.AttributeNames.HTTP_STATUS_TEXT]=(s||"").toUpperCase(),a?.type===fCe.RPCType.HTTP&&a.route!==void 0&&(c[fn.ATTR_HTTP_ROUTE]=a.route,o[fn.ATTR_HTTP_ROUTE]=a.route),n){case ol.SemconvStability.STABLE:return o;case ol.SemconvStability.OLD:return c}return Object.assign(c,o)};Tt.getIncomingRequestAttributesOnResponse=QWt;var $Wt=e=>{let t={};return t[dt.ATTR_HTTP_STATUS_CODE]=e[dt.ATTR_HTTP_STATUS_CODE],t[dt.ATTR_NET_HOST_PORT]=e[dt.ATTR_NET_HOST_PORT],e[fn.ATTR_HTTP_ROUTE]!==void 0&&(t[fn.ATTR_HTTP_ROUTE]=e[fn.ATTR_HTTP_ROUTE]),t};Tt.getIncomingRequestMetricAttributesOnResponse=$Wt;var e4t=e=>{let t={};return e[fn.ATTR_HTTP_ROUTE]!==void 0&&(t[fn.ATTR_HTTP_ROUTE]=e[fn.ATTR_HTTP_ROUTE]),e[fn.ATTR_HTTP_RESPONSE_STATUS_CODE]&&(t[fn.ATTR_HTTP_RESPONSE_STATUS_CODE]=e[fn.ATTR_HTTP_RESPONSE_STATUS_CODE]),t};Tt.getIncomingStableRequestMetricAttributesOnResponse=e4t;function t4t(e,t,n){let r=new Map;for(let i=0,s=t.length;i<s;i++){let o=t[i].toLowerCase();n&ol.SemconvStability.STABLE?r.set(o,o):r.set(o,o.replaceAll("-","_"))}return i=>{let s={};for(let o of r.keys()){let a=i(o);if(a===void 0)continue;let c=r.get(o),u=`http.${e}.header.${c}`;typeof a=="string"?s[u]=[a]:Array.isArray(a)?s[u]=a:s[u]=[a]}return s}}Tt.headerCapture=t4t;var n4t=new Set(["GET","HEAD","POST","PUT","DELETE","CONNECT","OPTIONS","TRACE","PATCH","QUERY"]);function SCe(e){if(e==null)return"GET";let t=e.toUpperCase();return n4t.has(t)?t:"_OTHER"}function bCe(e){try{return OWt(e)}catch{return[]}}});var _Ce=w(kj=>{"use strict";Object.defineProperty(kj,"__esModule",{value:!0});kj.HttpInstrumentation=void 0;var tn=(Ce(),ke(Ze)),gy=fr(),r4t=K("url"),i4t=$Pe(),Mo=Jt(),AJ=K("events"),Oi=(Pn(),ke(Mr)),Is=ECe(),wJ=class extends Mo.InstrumentationBase{_spanNotEnded=new WeakSet;_headerCapture;_httpPatched=!1;_httpsPatched=!1;_semconvStability=Mo.SemconvStability.OLD;constructor(t={}){super("@opentelemetry/instrumentation-http",i4t.VERSION,t),this._semconvStability=(0,Mo.semconvStabilityFromStr)("http",process.env.OTEL_SEMCONV_STABILITY_OPT_IN),this._headerCapture=this._createHeaderCapture(this._semconvStability)}_updateMetricInstruments(){this._oldHttpServerDurationHistogram=this.meter.createHistogram("http.server.duration",{description:"Measures the duration of inbound HTTP requests.",unit:"ms",valueType:tn.ValueType.DOUBLE}),this._oldHttpClientDurationHistogram=this.meter.createHistogram("http.client.duration",{description:"Measures the duration of outbound HTTP requests.",unit:"ms",valueType:tn.ValueType.DOUBLE}),this._stableHttpServerDurationHistogram=this.meter.createHistogram(Oi.METRIC_HTTP_SERVER_REQUEST_DURATION,{description:"Duration of HTTP server requests.",unit:"s",valueType:tn.ValueType.DOUBLE,advice:{explicitBucketBoundaries:[.005,.01,.025,.05,.075,.1,.25,.5,.75,1,2.5,5,7.5,10]}}),this._stableHttpClientDurationHistogram=this.meter.createHistogram(Oi.METRIC_HTTP_CLIENT_REQUEST_DURATION,{description:"Duration of HTTP client requests.",unit:"s",valueType:tn.ValueType.DOUBLE,advice:{explicitBucketBoundaries:[.005,.01,.025,.05,.075,.1,.25,.5,.75,1,2.5,5,7.5,10]}})}_recordServerDuration(t,n,r){this._semconvStability&Mo.SemconvStability.OLD&&this._oldHttpServerDurationHistogram.record(t,n),this._semconvStability&Mo.SemconvStability.STABLE&&this._stableHttpServerDurationHistogram.record(t/1e3,r)}_recordClientDuration(t,n,r){this._semconvStability&Mo.SemconvStability.OLD&&this._oldHttpClientDurationHistogram.record(t,n),this._semconvStability&Mo.SemconvStability.STABLE&&this._stableHttpClientDurationHistogram.record(t/1e3,r)}setConfig(t={}){super.setConfig(t),this._headerCapture=this._createHeaderCapture(this._semconvStability)}init(){return[this._getHttpsInstrumentation(),this._getHttpInstrumentation()]}_getHttpInstrumentation(){return new Mo.InstrumentationNodeModuleDefinition("http",["*"],t=>{if(this._httpPatched)return t;this._httpPatched=!0;let n=t[Symbol.toStringTag]==="Module";if(!this.getConfig().disableOutgoingRequestInstrumentation){let r=this._wrap(t,"request",this._getPatchOutgoingRequestFunction("http")),i=this._wrap(t,"get",this._getPatchOutgoingGetFunction(r));n&&(t.default.request=r,t.default.get=i)}return this.getConfig().disableIncomingRequestInstrumentation||this._wrap(t.Server.prototype,"emit",this._getPatchIncomingRequestFunction("http")),t},t=>{this._httpPatched=!1,t!==void 0&&(this.getConfig().disableOutgoingRequestInstrumentation||(this._unwrap(t,"request"),this._unwrap(t,"get")),this.getConfig().disableIncomingRequestInstrumentation||this._unwrap(t.Server.prototype,"emit"))})}_getHttpsInstrumentation(){return new Mo.InstrumentationNodeModuleDefinition("https",["*"],t=>{if(this._httpsPatched)return t;this._httpsPatched=!0;let n=t[Symbol.toStringTag]==="Module";if(!this.getConfig().disableOutgoingRequestInstrumentation){let r=this._wrap(t,"request",this._getPatchHttpsOutgoingRequestFunction("https")),i=this._wrap(t,"get",this._getPatchHttpsOutgoingGetFunction(r));n&&(t.default.request=r,t.default.get=i)}return this.getConfig().disableIncomingRequestInstrumentation||this._wrap(t.Server.prototype,"emit",this._getPatchIncomingRequestFunction("https")),t},t=>{this._httpsPatched=!1,t!==void 0&&(this.getConfig().disableOutgoingRequestInstrumentation||(this._unwrap(t,"request"),this._unwrap(t,"get")),this.getConfig().disableIncomingRequestInstrumentation||this._unwrap(t.Server.prototype,"emit"))})}_getPatchIncomingRequestFunction(t){return n=>this._incomingRequestFunction(t,n)}_getPatchOutgoingRequestFunction(t){return n=>this._outgoingRequestFunction(t,n)}_getPatchOutgoingGetFunction(t){return n=>function(i,...s){let o=t(i,...s);return o.end(),o}}_getPatchHttpsOutgoingRequestFunction(t){return n=>{let r=this;return function(s,...o){return t==="https"&&typeof s=="object"&&s?.constructor?.name!=="URL"&&(s=Object.assign({},s),r._setDefaultOptions(s)),r._getPatchOutgoingRequestFunction(t)(n)(s,...o)}}}_setDefaultOptions(t){t.protocol=t.protocol||"https:",t.port=t.port||443}_getPatchHttpsOutgoingGetFunction(t){return n=>{let r=this;return function(s,...o){return r._getPatchOutgoingGetFunction(t)(n)(s,...o)}}}_traceClientRequest(t,n,r,i,s){this.getConfig().requestHook&&this._callRequestHook(n,t);let o=!1;return t.prependListener("response",a=>{this._diag.debug("outgoingRequest on response()"),t.listenerCount("response")<=1&&a.resume();let c=(0,Is.getOutgoingRequestAttributesOnResponse)(a,this._semconvStability);n.setAttributes(c),i=Object.assign(i,(0,Is.getOutgoingRequestMetricAttributesOnResponse)(c)),s=Object.assign(s,(0,Is.getOutgoingStableRequestMetricAttributesOnResponse)(c)),this.getConfig().responseHook&&this._callResponseHook(n,a),n.setAttributes(this._headerCapture.client.captureRequestHeaders(l=>t.getHeader(l))),n.setAttributes(this._headerCapture.client.captureResponseHeaders(l=>a.headers[l])),tn.context.bind(tn.context.active(),a);let u=()=>{if(this._diag.debug("outgoingRequest on end()"),o)return;o=!0;let l;a.aborted&&!a.complete?l={code:tn.SpanStatusCode.ERROR}:l={code:(0,Is.parseResponseStatus)(tn.SpanKind.CLIENT,a.statusCode)},n.setStatus(l),this.getConfig().applyCustomAttributesOnSpan&&(0,Mo.safeExecuteInTheMiddle)(()=>this.getConfig().applyCustomAttributesOnSpan(n,t,a),()=>{},!0),this._closeHttpSpan(n,tn.SpanKind.CLIENT,r,i,s)};a.on("end",u),a.on(AJ.errorMonitor,l=>{this._diag.debug("outgoingRequest on error()",l),!o&&(o=!0,this._onOutgoingRequestError(n,i,s,r,l))})}),t.on("close",()=>{this._diag.debug("outgoingRequest on request close()"),!(t.aborted||o)&&(o=!0,this._closeHttpSpan(n,tn.SpanKind.CLIENT,r,i,s))}),t.on(AJ.errorMonitor,a=>{this._diag.debug("outgoingRequest on request error()",a),!o&&(o=!0,this._onOutgoingRequestError(n,i,s,r,a))}),this._diag.debug("http.ClientRequest return request"),t}_incomingRequestFunction(t,n){let r=this;return function(s,...o){if(s!=="request")return n.apply(this,[s,...o]);let a=o[0],c=o[1],u=a.method||"GET";if(r._diag.debug(`${t} instrumentation incomingRequest`),(0,Mo.safeExecuteInTheMiddle)(()=>r.getConfig().ignoreIncomingRequestHook?.(a),S=>{S!=null&&r._diag.error("caught ignoreIncomingRequestHook error: ",S)},!0))return tn.context.with((0,gy.suppressTracing)(tn.context.active()),()=>(tn.context.bind(tn.context.active(),a),tn.context.bind(tn.context.active(),c),n.apply(this,[s,...o])));let l=a.headers,d=(0,Is.getIncomingRequestAttributes)(a,{component:t,serverName:r.getConfig().serverName,hookAttributes:r._callStartSpanHook(a,r.getConfig().startIncomingSpanHook),semconvStability:r._semconvStability,enableSyntheticSourceDetection:r.getConfig().enableSyntheticSourceDetection||!1},r._diag);Object.assign(d,r._headerCapture.server.captureRequestHeaders(S=>a.headers[S]));let f={kind:tn.SpanKind.SERVER,attributes:d},p=(0,gy.hrTime)(),h=(0,Is.getIncomingRequestMetricAttributes)(d),m={[Oi.ATTR_HTTP_REQUEST_METHOD]:d[Oi.ATTR_HTTP_REQUEST_METHOD],[Oi.ATTR_URL_SCHEME]:d[Oi.ATTR_URL_SCHEME]};d[Oi.ATTR_NETWORK_PROTOCOL_VERSION]&&(m[Oi.ATTR_NETWORK_PROTOCOL_VERSION]=d[Oi.ATTR_NETWORK_PROTOCOL_VERSION]);let g=tn.propagation.extract(tn.ROOT_CONTEXT,l),y=r._startHttpSpan(u,f,g),b={type:gy.RPCType.HTTP,span:y};return tn.context.with((0,gy.setRPCMetadata)(tn.trace.setSpan(g,y),b),()=>{tn.context.bind(tn.context.active(),a),tn.context.bind(tn.context.active(),c),r.getConfig().requestHook&&r._callRequestHook(y,a),r.getConfig().responseHook&&r._callResponseHook(y,c);let S=!1;return c.on("close",()=>{S||r._onServerResponseFinish(a,c,y,h,m,p)}),c.on(AJ.errorMonitor,E=>{S=!0,r._onServerResponseError(y,h,m,p,E)}),(0,Mo.safeExecuteInTheMiddle)(()=>n.apply(this,[s,...o]),E=>{if(E)throw r._onServerResponseError(y,h,m,p,E),E})})}}_outgoingRequestFunction(t,n){let r=this;return function(s,...o){if(!(0,Is.isValidOptionsType)(s))return n.apply(this,[s,...o]);let a=typeof o[0]=="object"&&(typeof s=="string"||s instanceof r4t.URL)?o.shift():void 0,{method:c,invalidUrl:u,optionsParsed:l}=(0,Is.getRequestInfo)(r._diag,s,a);if((0,Mo.safeExecuteInTheMiddle)(()=>r.getConfig().ignoreOutgoingRequestHook?.(l),_=>{_!=null&&r._diag.error("caught ignoreOutgoingRequestHook error: ",_)},!0))return 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l.headers?l.headers=Object.assign({},l.headers):l.headers={},tn.propagation.inject(E,l.headers),tn.context.with(E,()=>{let _=o[o.length-1];typeof _=="function"&&(o[o.length-1]=tn.context.bind(S,_));let T=(0,Mo.safeExecuteInTheMiddle)(()=>u?n.apply(this,[s,...o]):n.apply(this,[l,...o]),R=>{if(R)throw r._onOutgoingRequestError(b,m,g,h,R),R});return r._diag.debug(`${t} instrumentation outgoingRequest`),tn.context.bind(S,T),r._traceClientRequest(T,b,h,m,g)})}}_onServerResponseFinish(t,n,r,i,s,o){let a=(0,Is.getIncomingRequestAttributesOnResponse)(t,n,this._semconvStability);i=Object.assign(i,(0,Is.getIncomingRequestMetricAttributesOnResponse)(a)),s=Object.assign(s,(0,Is.getIncomingStableRequestMetricAttributesOnResponse)(a)),r.setAttributes(this._headerCapture.server.captureResponseHeaders(u=>n.getHeader(u))),r.setAttributes(a).setStatus({code:(0,Is.parseResponseStatus)(tn.SpanKind.SERVER,n.statusCode)});let c=a[Oi.ATTR_HTTP_ROUTE];c&&r.updateName(`${t.method||"GET"} 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this._shutdownOnce.isCalled?this._shutdownOnce.promise:this._flushAll()}onStart(t,n){}onEnd(t){this._shutdownOnce.isCalled||(t.spanContext().traceFlags&SR.TraceFlags.SAMPLED)!==0&&this._addToBuffer(t)}shutdown(){return this._shutdownOnce.call()}_shutdown(){return Promise.resolve().then(()=>this.onShutdown()).then(()=>this._flushAll()).then(()=>this._exporter.shutdown())}_addToBuffer(t){if(this._finishedSpans.length>=this._maxQueueSize){this._droppedSpansCount===0&&SR.diag.debug("maxQueueSize reached, dropping spans"),this._droppedSpansCount++;return}this._droppedSpansCount>0&&(SR.diag.warn(`Dropped ${this._droppedSpansCount} spans because maxQueueSize reached`),this._droppedSpansCount=0),this._finishedSpans.push(t),this._maybeStartTimer()}_flushAll(){return new Promise((t,n)=>{let r=[],i=Math.ceil(this._finishedSpans.length/this._maxExportBatchSize);for(let s=0,o=i;s<o;s++)r.push(this._flushOneBatch());Promise.all(r).then(()=>{t()}).catch(n)})}_flushOneBatch(){return 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a=Iq.trace.getSpanContext(t);return!a||!(0,Iq.isSpanContextValid)(a)?this._root.shouldSample(t,n,r,i,s,o):a.isRemote?a.traceFlags&Iq.TraceFlags.SAMPLED?this._remoteParentSampled.shouldSample(t,n,r,i,s,o):this._remoteParentNotSampled.shouldSample(t,n,r,i,s,o):a.traceFlags&Iq.TraceFlags.SAMPLED?this._localParentSampled.shouldSample(t,n,r,i,s,o):this._localParentNotSampled.shouldSample(t,n,r,i,s,o)}toString(){return`ParentBased{root=${this._root.toString()}, remoteParentSampled=${this._remoteParentSampled.toString()}, remoteParentNotSampled=${this._remoteParentNotSampled.toString()}, localParentSampled=${this._localParentSampled.toString()}, localParentNotSampled=${this._localParentNotSampled.toString()}}`}};xq.ParentBasedSampler=b$});var T$=w(Oq=>{"use strict";Object.defineProperty(Oq,"__esModule",{value:!0});Oq.TraceIdRatioBasedSampler=void 0;var 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R$=(Ce(),ke(Ze)),Vp=fr(),gFe=Aq(),v$=kq(),Pq=E$(),yFe=T$(),Wp;(function(e){e.AlwaysOff="always_off",e.AlwaysOn="always_on",e.ParentBasedAlwaysOff="parentbased_always_off",e.ParentBasedAlwaysOn="parentbased_always_on",e.ParentBasedTraceIdRatio="parentbased_traceidratio",e.TraceIdRatio="traceidratio"})(Wp||(Wp={}));var Nq=1;function XZt(){return{sampler:bFe(),forceFlushTimeoutMillis:3e4,generalLimits:{attributeValueLengthLimit:(0,Vp.getNumberFromEnv)("OTEL_ATTRIBUTE_VALUE_LENGTH_LIMIT")??1/0,attributeCountLimit:(0,Vp.getNumberFromEnv)("OTEL_ATTRIBUTE_COUNT_LIMIT")??128},spanLimits:{attributeValueLengthLimit:(0,Vp.getNumberFromEnv)("OTEL_SPAN_ATTRIBUTE_VALUE_LENGTH_LIMIT")??1/0,attributeCountLimit:(0,Vp.getNumberFromEnv)("OTEL_SPAN_ATTRIBUTE_COUNT_LIMIT")??128,linkCountLimit:(0,Vp.getNumberFromEnv)("OTEL_SPAN_LINK_COUNT_LIMIT")??128,eventCountLimit:(0,Vp.getNumberFromEnv)("OTEL_SPAN_EVENT_COUNT_LIMIT")??128,attributePerEventCountLimit:(0,Vp.getNumberFromEnv)("OTEL_SPAN_ATTRIBUTE_PER_EVENT_COUNT_LIMIT")??128,attributePerLinkCountLimit:(0,Vp.getNumberFromEnv)("OTEL_SPAN_ATTRIBUTE_PER_LINK_COUNT_LIMIT")??128}}}bA.loadDefaultConfig=XZt;function bFe(){let e=(0,Vp.getStringFromEnv)("OTEL_TRACES_SAMPLER")??Wp.ParentBasedAlwaysOn;switch(e){case Wp.AlwaysOn:return new v$.AlwaysOnSampler;case Wp.AlwaysOff:return new 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t.attributeCountLimit=e.spanLimits?.attributeCountLimit??e.generalLimits?.attributeCountLimit??(0,Cq.getNumberFromEnv)("OTEL_SPAN_ATTRIBUTE_COUNT_LIMIT")??(0,Cq.getNumberFromEnv)("OTEL_ATTRIBUTE_COUNT_LIMIT")??Xl.DEFAULT_ATTRIBUTE_COUNT_LIMIT,t.attributeValueLengthLimit=e.spanLimits?.attributeValueLengthLimit??e.generalLimits?.attributeValueLengthLimit??(0,Cq.getNumberFromEnv)("OTEL_SPAN_ATTRIBUTE_VALUE_LENGTH_LIMIT")??(0,Cq.getNumberFromEnv)("OTEL_ATTRIBUTE_VALUE_LENGTH_LIMIT")??Xl.DEFAULT_ATTRIBUTE_VALUE_LENGTH_LIMIT,Object.assign({},e,{spanLimits:t})}Xl.reconfigureLimits=$Zt});var _Fe=w(Mq=>{"use strict";Object.defineProperty(Mq,"__esModule",{value:!0});Mq.BatchSpanProcessorBase=void 0;var EA=(Ce(),ke(Ze)),km=fr(),k$=class{_maxExportBatchSize;_maxQueueSize;_scheduledDelayMillis;_exportTimeoutMillis;_exporter;_isExporting=!1;_finishedSpans=[];_timer;_shutdownOnce;_droppedSpansCount=0;constructor(t,n){this._exporter=t,this._maxExportBatchSize=typeof n?.maxExportBatchSize=="number"?n.maxExportBatchSize:(0,km.getNumberFromEnv)("OTEL_BSP_MAX_EXPORT_BATCH_SIZE")??512,this._maxQueueSize=typeof n?.maxQueueSize=="number"?n.maxQueueSize:(0,km.getNumberFromEnv)("OTEL_BSP_MAX_QUEUE_SIZE")??2048,this._scheduledDelayMillis=typeof n?.scheduledDelayMillis=="number"?n.scheduledDelayMillis:(0,km.getNumberFromEnv)("OTEL_BSP_SCHEDULE_DELAY")??5e3,this._exportTimeoutMillis=typeof n?.exportTimeoutMillis=="number"?n.exportTimeoutMillis:(0,km.getNumberFromEnv)("OTEL_BSP_EXPORT_TIMEOUT")??3e4,this._shutdownOnce=new km.BindOnceFuture(this._shutdown,this),this._maxExportBatchSize>this._maxQueueSize&&(EA.diag.warn("BatchSpanProcessor: maxExportBatchSize must be smaller or equal to maxQueueSize, setting maxExportBatchSize to match maxQueueSize"),this._maxExportBatchSize=this._maxQueueSize)}forceFlush(){return this._shutdownOnce.isCalled?this._shutdownOnce.promise:this._flushAll()}onStart(t,n){}onEnd(t){this._shutdownOnce.isCalled||(t.spanContext().traceFlags&EA.TraceFlags.SAMPLED)!==0&&this._addToBuffer(t)}shutdown(){return this._shutdownOnce.call()}_shutdown(){return Promise.resolve().then(()=>this.onShutdown()).then(()=>this._flushAll()).then(()=>this._exporter.shutdown())}_addToBuffer(t){if(this._finishedSpans.length>=this._maxQueueSize){this._droppedSpansCount===0&&EA.diag.debug("maxQueueSize reached, dropping spans"),this._droppedSpansCount++;return}this._droppedSpansCount>0&&(EA.diag.warn(`Dropped ${this._droppedSpansCount} spans because maxQueueSize reached`),this._droppedSpansCount=0),this._finishedSpans.push(t),this._maybeStartTimer()}_flushAll(){return new Promise((t,n)=>{let r=[],i=Math.ceil(this._finishedSpans.length/this._maxExportBatchSize);for(let s=0,o=i;s<o;s++)r.push(this._flushOneBatch());Promise.all(r).then(()=>{t()}).catch(n)})}_flushOneBatch(){return this._clearTimer(),this._finishedSpans.length===0?Promise.resolve():new Promise((t,n)=>{let r=setTimeout(()=>{n(new Error("Timeout"))},this._exportTimeoutMillis);EA.context.with((0,km.suppressTracing)(EA.context.active()),()=>{let i;this._finishedSpans.length<=this._maxExportBatchSize?(i=this._finishedSpans,this._finishedSpans=[]):i=this._finishedSpans.splice(0,this._maxExportBatchSize);let s=()=>this._exporter.export(i,a=>{clearTimeout(r),a.code===km.ExportResultCode.SUCCESS?t():n(a.error??new Error("BatchSpanProcessor: span export failed"))}),o=null;for(let a=0,c=i.length;a<c;a++){let u=i[a];u.resource.asyncAttributesPending&&u.resource.waitForAsyncAttributes&&(o??=[],o.push(u.resource.waitForAsyncAttributes()))}o===null?s():Promise.all(o).then(s,a=>{(0,km.globalErrorHandler)(a),n(a)})})})}_maybeStartTimer(){if(this._isExporting)return;let t=()=>{this._isExporting=!0,this._flushOneBatch().finally(()=>{this._isExporting=!1,this._finishedSpans.length>0&&(this._clearTimer(),this._maybeStartTimer())}).catch(n=>{this._isExporting=!1,(0,km.globalErrorHandler)(n)})};if(this._finishedSpans.length>=this._maxExportBatchSize)return t();this._timer===void 0&&(this._timer=setTimeout(()=>t(),this._scheduledDelayMillis),typeof this._timer!="number"&&this._timer.unref())}_clearTimer(){this._timer!==void 0&&(clearTimeout(this._timer),this._timer=void 0)}};Mq.BatchSpanProcessorBase=k$});var TFe=w(Dq=>{"use strict";Object.defineProperty(Dq,"__esModule",{value:!0});Dq.BatchSpanProcessor=void 0;var e6t=_Fe(),I$=class extends e6t.BatchSpanProcessorBase{onShutdown(){}};Dq.BatchSpanProcessor=I$});var AFe=w(Uq=>{"use strict";Object.defineProperty(Uq,"__esModule",{value:!0});Uq.RandomIdGenerator=void 0;var t6t=8,RFe=16,x$=class{generateTraceId=vFe(RFe);generateSpanId=vFe(t6t)};Uq.RandomIdGenerator=x$;var Lq=Buffer.allocUnsafe(RFe);function 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r=s6t(n);if(this.startedSpans.add(1,{[xP.ATTR_OTEL_SPAN_PARENT_ORIGIN]:i6t(t),[xP.ATTR_OTEL_SPAN_SAMPLING_RESULT]:r}),n===Fq.SamplingDecision.NOT_RECORD)return()=>{};let i={[xP.ATTR_OTEL_SPAN_SAMPLING_RESULT]:r};return this.liveSpans.add(1,i),()=>{this.liveSpans.add(-1,i)}}};jq.TracerMetrics=P$;function i6t(e){return e?e.isRemote?"remote":"local":"none"}function s6t(e){switch(e){case Fq.SamplingDecision.RECORD_AND_SAMPLED:return"RECORD_AND_SAMPLE";case Fq.SamplingDecision.RECORD:return"RECORD_ONLY";case Fq.SamplingDecision.NOT_RECORD:return"DROP"}}});var OFe=w(Hq=>{"use strict";Object.defineProperty(Hq,"__esModule",{value:!0});Hq.VERSION=void 0;Hq.VERSION="2.6.1"});var PFe=w(Bq=>{"use strict";Object.defineProperty(Bq,"__esModule",{value:!0});Bq.Tracer=void 0;var jo=(Ce(),ke(Ze)),qq=fr(),o6t=pFe(),a6t=w$(),c6t=O$(),u6t=xFe(),l6t=OFe(),N$=class{_sampler;_generalLimits;_spanLimits;_idGenerator;instrumentationScope;_resource;_spanProcessor;_tracerMetrics;constructor(t,n,r,i){let s=(0,a6t.mergeConfig)(n);this._sampler=s.sampler,this._generalLimits=s.generalLimits,this._spanLimits=s.spanLimits,this._idGenerator=n.idGenerator||new c6t.RandomIdGenerator,this._resource=r,this._spanProcessor=i,this.instrumentationScope=t;let o=s.meterProvider?s.meterProvider.getMeter("@opentelemetry/sdk-trace",l6t.VERSION):jo.createNoopMeter();this._tracerMetrics=new u6t.TracerMetrics(o)}startSpan(t,n={},r=jo.context.active()){n.root&&(r=jo.trace.deleteSpan(r));let i=jo.trace.getSpan(r);if((0,qq.isTracingSuppressed)(r))return jo.diag.debug("Instrumentation suppressed, returning Noop Span"),jo.trace.wrapSpanContext(jo.INVALID_SPAN_CONTEXT);let s=i?.spanContext(),o=this._idGenerator.generateSpanId(),a,c,u;!s||!jo.trace.isSpanContextValid(s)?c=this._idGenerator.generateTraceId():(c=s.traceId,u=s.traceState,a=s);let l=n.kind??jo.SpanKind.INTERNAL,d=(n.links??[]).map(S=>({context:S.context,attributes:(0,qq.sanitizeAttributes)(S.attributes)})),f=(0,qq.sanitizeAttributes)(n.attributes),p=this._sampler.shouldSample(r,c,t,l,f,d),h=this._tracerMetrics.startSpan(s,p.decision);u=p.traceState??u;let m=p.decision===jo.SamplingDecision.RECORD_AND_SAMPLED?jo.TraceFlags.SAMPLED:jo.TraceFlags.NONE,g={traceId:c,spanId:o,traceFlags:m,traceState:u};if(p.decision===jo.SamplingDecision.NOT_RECORD)return jo.diag.debug("Recording is off, propagating context in a non-recording span"),jo.trace.wrapSpanContext(g);let y=(0,qq.sanitizeAttributes)(Object.assign(f,p.attributes));return new o6t.SpanImpl({resource:this._resource,scope:this.instrumentationScope,context:r,spanContext:g,name:t,kind:l,links:d,parentSpanContext:a,attributes:y,startTime:n.startTime,spanProcessor:this._spanProcessor,spanLimits:this._spanLimits,recordEndMetrics:h})}startActiveSpan(t,n,r,i){let 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o=i[0].topicMessages||[],a=[],c=[];o.forEach(l=>{l.messages.forEach(d=>{a.push(t._startProducerSpan(l.topic,d)),c.push(KB(t._sentMessages,1,{[ot.ATTR_MESSAGING_SYSTEM]:ot.MESSAGING_SYSTEM_VALUE_KAFKA,[ot.ATTR_MESSAGING_OPERATION_NAME]:"send",[ot.ATTR_MESSAGING_DESTINATION_NAME]:l.topic,...d.partition!==void 0?{[ot.ATTR_MESSAGING_DESTINATION_PARTITION_ID]:String(d.partition)}:{}}))})});let u=n.apply(this,i);return t._endSpansOnPromise(a,c,u)}}_getSendPatch(){let t=this;return n=>function(...i){let s=i[0],o=s.messages.map(u=>t._startProducerSpan(s.topic,u)),a=s.messages.map(u=>KB(t._sentMessages,1,{[ot.ATTR_MESSAGING_SYSTEM]:ot.MESSAGING_SYSTEM_VALUE_KAFKA,[ot.ATTR_MESSAGING_OPERATION_NAME]:"send",[ot.ATTR_MESSAGING_DESTINATION_NAME]:s.topic,...u.partition!==void 0?{[ot.ATTR_MESSAGING_DESTINATION_PARTITION_ID]:String(u.partition)}:{}})),c=n.apply(this,i);return t._endSpansOnPromise(o,a,c)}}_endSpansOnPromise(t,n,r){return Promise.resolve(r).then(i=>(n.forEach(s=>s()),i)).catch(i=>{let s,o=zR.ERROR_TYPE_VALUE_OTHER;throw typeof i=="string"||i===void 0?s=i:typeof i=="object"&&Object.prototype.hasOwnProperty.call(i,"message")&&(s=i.message,o=i.constructor.name),n.forEach(a=>a(o)),t.forEach(a=>{a.setAttribute(zR.ATTR_ERROR_TYPE,o),a.setStatus({code:Lr.SpanStatusCode.ERROR,message:s})}),i}).finally(()=>{t.forEach(i=>i.end())})}_startConsumerSpan({topic:t,message:n,operationType:r,ctx:i,link:s,attributes:o}){let a=r===ot.MESSAGING_OPERATION_TYPE_VALUE_RECEIVE?"poll":r,c=this.tracer.startSpan(`${a} ${t}`,{kind:r===ot.MESSAGING_OPERATION_TYPE_VALUE_RECEIVE?Lr.SpanKind.CLIENT:Lr.SpanKind.CONSUMER,attributes:{...o,[ot.ATTR_MESSAGING_SYSTEM]:ot.MESSAGING_SYSTEM_VALUE_KAFKA,[ot.ATTR_MESSAGING_DESTINATION_NAME]:t,[ot.ATTR_MESSAGING_OPERATION_TYPE]:r,[ot.ATTR_MESSAGING_OPERATION_NAME]:a,[ot.ATTR_MESSAGING_KAFKA_MESSAGE_KEY]:n?.key?String(n.key):void 0,[ot.ATTR_MESSAGING_KAFKA_MESSAGE_TOMBSTONE]:n?.key&&n.value===null?!0:void 0,[ot.ATTR_MESSAGING_KAFKA_OFFSET]:n?.offset},links:s?[s]:[]},i),{consumerHook:u}=this.getConfig();return u&&n&&(0,Ql.safeExecuteInTheMiddle)(()=>u(c,{topic:t,message:n}),l=>{l&&this._diag.error("consumerHook error",l)},!0),c}_startProducerSpan(t,n){let r=this.tracer.startSpan(`send ${t}`,{kind:Lr.SpanKind.PRODUCER,attributes:{[ot.ATTR_MESSAGING_SYSTEM]:ot.MESSAGING_SYSTEM_VALUE_KAFKA,[ot.ATTR_MESSAGING_DESTINATION_NAME]:t,[ot.ATTR_MESSAGING_KAFKA_MESSAGE_KEY]:n.key?String(n.key):void 0,[ot.ATTR_MESSAGING_KAFKA_MESSAGE_TOMBSTONE]:n.key&&n.value===null?!0:void 0,[ot.ATTR_MESSAGING_DESTINATION_PARTITION_ID]:n.partition!==void 0?String(n.partition):void 0,[ot.ATTR_MESSAGING_OPERATION_NAME]:"send",[ot.ATTR_MESSAGING_OPERATION_TYPE]:ot.MESSAGING_OPERATION_TYPE_VALUE_SEND}});n.headers=n.headers??{},Lr.propagation.inject(Lr.trace.setSpan(Lr.context.active(),r),n.headers);let{producerHook:i}=this.getConfig();return i&&(0,Ql.safeExecuteInTheMiddle)(()=>i(r,{topic:t,message:n}),s=>{s&&this._diag.error("producerHook error",s)},!0),r}};ZB.KafkaJsInstrumentation=Xee});var gGe=w(YB=>{"use strict";Object.defineProperty(YB,"__esModule",{value:!0});YB.KafkaJsInstrumentation=void 0;var NQt=mGe();Object.defineProperty(YB,"KafkaJsInstrumentation",{enumerable:!0,get:function(){return NQt.KafkaJsInstrumentation}})});var yGe,SGe,EGe,PQt,bGe,_Ge=v(()=>{yGe=Se(gGe(),1);sr();SGe="Kafka",EGe=rt(SGe,()=>new yGe.KafkaJsInstrumentation({consumerHook(e){Dr(e,"auto.kafkajs.otel.consumer")},producerHook(e){Dr(e,"auto.kafkajs.otel.producer")}})),PQt=(()=>({name:SGe,setupOnce(){EGe()}})),bGe=PQt});var TGe=w(VR=>{"use strict";Object.defineProperty(VR,"__esModule",{value:!0});VR.PACKAGE_NAME=VR.PACKAGE_VERSION=void 0;VR.PACKAGE_VERSION="0.58.0";VR.PACKAGE_NAME="@opentelemetry/instrumentation-lru-memoizer"});var wGe=w(JB=>{"use strict";Object.defineProperty(JB,"__esModule",{value:!0});JB.LruMemoizerInstrumentation=void 0;var vGe=(Ce(),ke(Ye)),AGe=Yt(),RGe=TGe(),Qee=class extends AGe.InstrumentationBase{constructor(t={}){super(RGe.PACKAGE_NAME,RGe.PACKAGE_VERSION,t)}init(){return[new AGe.InstrumentationNodeModuleDefinition("lru-memoizer",[">=1.3 <4"],t=>{let n=function(){let r=t.apply(this,arguments);return function(){let i=[...arguments],s=i.pop(),o=typeof s=="function"?vGe.context.bind(vGe.context.active(),s):s;return i.push(o),r.apply(this,i)}};return n.sync=t.sync,n},void 0)]}};JB.LruMemoizerInstrumentation=Qee});var kGe=w(XB=>{"use strict";Object.defineProperty(XB,"__esModule",{value:!0});XB.LruMemoizerInstrumentation=void 0;var CQt=wGe();Object.defineProperty(XB,"LruMemoizerInstrumentation",{enumerable:!0,get:function(){return CQt.LruMemoizerInstrumentation}})});var IGe,xGe,OGe,MQt,NGe,PGe=v(()=>{IGe=Se(kGe(),1);sr();xGe="LruMemoizer",OGe=rt(xGe,()=>new IGe.LruMemoizerInstrumentation),MQt=(()=>({name:xGe,setupOnce(){OGe()}})),NGe=MQt});var CGe=w(Pi=>{"use strict";Object.defineProperty(Pi,"__esModule",{value:!0});Pi.METRIC_DB_CLIENT_CONNECTIONS_USAGE=Pi.DB_SYSTEM_VALUE_MONGODB=Pi.DB_SYSTEM_NAME_VALUE_MONGODB=Pi.ATTR_NET_PEER_PORT=Pi.ATTR_NET_PEER_NAME=Pi.ATTR_DB_SYSTEM=Pi.ATTR_DB_STATEMENT=Pi.ATTR_DB_OPERATION=Pi.ATTR_DB_NAME=Pi.ATTR_DB_MONGODB_COLLECTION=Pi.ATTR_DB_CONNECTION_STRING=void 0;Pi.ATTR_DB_CONNECTION_STRING="db.connection_string";Pi.ATTR_DB_MONGODB_COLLECTION="db.mongodb.collection";Pi.ATTR_DB_NAME="db.name";Pi.ATTR_DB_OPERATION="db.operation";Pi.ATTR_DB_STATEMENT="db.statement";Pi.ATTR_DB_SYSTEM="db.system";Pi.ATTR_NET_PEER_NAME="net.peer.name";Pi.ATTR_NET_PEER_PORT="net.peer.port";Pi.DB_SYSTEM_NAME_VALUE_MONGODB="mongodb";Pi.DB_SYSTEM_VALUE_MONGODB="mongodb";Pi.METRIC_DB_CLIENT_CONNECTIONS_USAGE="db.client.connections.usage"});var MGe=w(QN=>{"use strict";Object.defineProperty(QN,"__esModule",{value:!0});QN.MongodbCommandType=void 0;var DQt;(function(e){e.CREATE_INDEXES="createIndexes",e.FIND_AND_MODIFY="findAndModify",e.IS_MASTER="isMaster",e.COUNT="count",e.AGGREGATE="aggregate",e.UNKNOWN="unknown"})(DQt=QN.MongodbCommandType||(QN.MongodbCommandType={}))});var DGe=w(WR=>{"use strict";Object.defineProperty(WR,"__esModule",{value:!0});WR.PACKAGE_NAME=WR.PACKAGE_VERSION=void 0;WR.PACKAGE_VERSION="0.67.0";WR.PACKAGE_NAME="@opentelemetry/instrumentation-mongodb"});var FGe=w(QB=>{"use strict";Object.defineProperty(QB,"__esModule",{value:!0});QB.MongoDBInstrumentation=void 0;var Ki=(Ce(),ke(Ye)),jn=Yt(),Pm=(Nn(),ke(Mr)),dl=CGe(),t_=MGe(),LGe=DGe(),UGe={requireParentSpan:!0},$ee=class e extends jn.InstrumentationBase{_netSemconvStability;_dbSemconvStability;constructor(t={}){super(LGe.PACKAGE_NAME,LGe.PACKAGE_VERSION,{...UGe,...t}),this._setSemconvStabilityFromEnv()}_setSemconvStabilityFromEnv(){this._netSemconvStability=(0,jn.semconvStabilityFromStr)("http",process.env.OTEL_SEMCONV_STABILITY_OPT_IN),this._dbSemconvStability=(0,jn.semconvStabilityFromStr)("database",process.env.OTEL_SEMCONV_STABILITY_OPT_IN)}setConfig(t={}){super.setConfig({...UGe,...t})}_updateMetricInstruments(){this._connectionsUsage=this.meter.createUpDownCounter(dl.METRIC_DB_CLIENT_CONNECTIONS_USAGE,{description:"The number of connections that are currently in state described by the state attribute.",unit:"{connection}"})}_connCountAdd(t,n,r){this._connectionsUsage?.add(t,{"pool.name":n,state:r})}init(){let{v3PatchConnection:t,v3UnpatchConnection:n}=this._getV3ConnectionPatches(),{v4PatchConnect:r,v4UnpatchConnect:i}=this._getV4ConnectPatches(),{v4PatchConnectionCallback:s,v4PatchConnectionPromise:o,v4UnpatchConnection:a}=this._getV4ConnectionPatches(),{v4PatchConnectionPool:c,v4UnpatchConnectionPool:u}=this._getV4ConnectionPoolPatches(),{v4PatchSessions:l,v4UnpatchSessions:d}=this._getV4SessionsPatches();return[new jn.InstrumentationNodeModuleDefinition("mongodb",[">=3.3.0 <4"],void 0,void 0,[new jn.InstrumentationNodeModuleFile("mongodb/lib/core/wireprotocol/index.js",[">=3.3.0 <4"],t,n)]),new jn.InstrumentationNodeModuleDefinition("mongodb",[">=4.0.0 <8"],void 0,void 0,[new jn.InstrumentationNodeModuleFile("mongodb/lib/cmap/connection.js",[">=4.0.0 <6.4"],s,a),new jn.InstrumentationNodeModuleFile("mongodb/lib/cmap/connection.js",[">=6.4.0 <8"],o,a),new jn.InstrumentationNodeModuleFile("mongodb/lib/cmap/connection_pool.js",[">=4.0.0 <6.4"],c,u),new jn.InstrumentationNodeModuleFile("mongodb/lib/cmap/connect.js",[">=4.0.0 <8"],r,i),new jn.InstrumentationNodeModuleFile("mongodb/lib/sessions.js",[">=4.0.0 <8"],l,d)])]}_getV3ConnectionPatches(){return{v3PatchConnection:t=>((0,jn.isWrapped)(t.insert)&&this._unwrap(t,"insert"),this._wrap(t,"insert",this._getV3PatchOperation("insert")),(0,jn.isWrapped)(t.remove)&&this._unwrap(t,"remove"),this._wrap(t,"remove",this._getV3PatchOperation("remove")),(0,jn.isWrapped)(t.update)&&this._unwrap(t,"update"),this._wrap(t,"update",this._getV3PatchOperation("update")),(0,jn.isWrapped)(t.command)&&this._unwrap(t,"command"),this._wrap(t,"command",this._getV3PatchCommand()),(0,jn.isWrapped)(t.query)&&this._unwrap(t,"query"),this._wrap(t,"query",this._getV3PatchFind()),(0,jn.isWrapped)(t.getMore)&&this._unwrap(t,"getMore"),this._wrap(t,"getMore",this._getV3PatchCursor()),t),v3UnpatchConnection:t=>{t!==void 0&&(this._unwrap(t,"insert"),this._unwrap(t,"remove"),this._unwrap(t,"update"),this._unwrap(t,"command"),this._unwrap(t,"query"),this._unwrap(t,"getMore"))}}}_getV4SessionsPatches(){return{v4PatchSessions:t=>((0,jn.isWrapped)(t.acquire)&&this._unwrap(t,"acquire"),this._wrap(t.ServerSessionPool.prototype,"acquire",this._getV4AcquireCommand()),(0,jn.isWrapped)(t.release)&&this._unwrap(t,"release"),this._wrap(t.ServerSessionPool.prototype,"release",this._getV4ReleaseCommand()),t),v4UnpatchSessions:t=>{t!==void 0&&((0,jn.isWrapped)(t.acquire)&&this._unwrap(t,"acquire"),(0,jn.isWrapped)(t.release)&&this._unwrap(t,"release"))}}}_getV4AcquireCommand(){let t=this;return n=>function(){let i=this.sessions.length,s=n.call(this),o=this.sessions.length;return i===o?t._connCountAdd(1,t._poolName,"used"):i-1===o&&(t._connCountAdd(-1,t._poolName,"idle"),t._connCountAdd(1,t._poolName,"used")),s}}_getV4ReleaseCommand(){let t=this;return n=>function(i){let s=n.call(this,i);return t._connCountAdd(-1,t._poolName,"used"),t._connCountAdd(1,t._poolName,"idle"),s}}_getV4ConnectionPoolPatches(){return{v4PatchConnectionPool:t=>{let n=t.ConnectionPool.prototype;return(0,jn.isWrapped)(n.checkOut)&&this._unwrap(n,"checkOut"),this._wrap(n,"checkOut",this._getV4ConnectionPoolCheckOut()),t},v4UnpatchConnectionPool:t=>{t!==void 0&&this._unwrap(t.ConnectionPool.prototype,"checkOut")}}}_getV4ConnectPatches(){return{v4PatchConnect:t=>((0,jn.isWrapped)(t.connect)&&this._unwrap(t,"connect"),this._wrap(t,"connect",this._getV4ConnectCommand()),t),v4UnpatchConnect:t=>{t!==void 0&&this._unwrap(t,"connect")}}}_getV4ConnectionPoolCheckOut(){return t=>function(r){let i=Ki.context.bind(Ki.context.active(),r);return t.call(this,i)}}_getV4ConnectCommand(){let t=this;return n=>function(i,s){if(n.length===1){let a=n.call(this,i);return a&&typeof a.then=="function"&&a.then(()=>t.setPoolName(i),()=>{}),a}let o=function(a,c){if(a||!c){s(a,c);return}t.setPoolName(i),s(a,c)};return n.call(this,i,o)}}_getV4ConnectionPatches(){return{v4PatchConnectionCallback:t=>((0,jn.isWrapped)(t.Connection.prototype.command)&&this._unwrap(t.Connection.prototype,"command"),this._wrap(t.Connection.prototype,"command",this._getV4PatchCommandCallback()),t),v4PatchConnectionPromise:t=>((0,jn.isWrapped)(t.Connection.prototype.command)&&this._unwrap(t.Connection.prototype,"command"),this._wrap(t.Connection.prototype,"command",this._getV4PatchCommandPromise()),t),v4UnpatchConnection:t=>{t!==void 0&&this._unwrap(t.Connection.prototype,"command")}}}_getV3PatchOperation(t){let n=this;return r=>function(s,o,a,c,u){let l=Ki.trace.getSpan(Ki.context.active()),d=n._checkSkipInstrumentation(l),f=typeof c=="function"?c:u;if(d||typeof f!="function"||typeof a!="object")return typeof c=="function"?r.call(this,s,o,a,c):r.call(this,s,o,a,c,u);let p=n._getV3SpanAttributes(o,s,a[0],t),h=n._spanNameFromAttrs(p),m=n.tracer.startSpan(h,{kind:Ki.SpanKind.CLIENT,attributes:p}),y=n._patchEnd(m,f);return typeof c=="function"?r.call(this,s,o,a,y):r.call(this,s,o,a,c,y)}}_getV3PatchCommand(){let t=this;return n=>function(i,s,o,a,c){let u=Ki.trace.getSpan(Ki.context.active()),l=t._checkSkipInstrumentation(u),d=typeof a=="function"?a:c;if(l||typeof d!="function"||typeof o!="object")return typeof a=="function"?n.call(this,i,s,o,a):n.call(this,i,s,o,a,c);let f=e._getCommandType(o),p=f===t_.MongodbCommandType.UNKNOWN?void 0:f,h=t._getV3SpanAttributes(s,i,o,p),m=t._spanNameFromAttrs(h),y=t.tracer.startSpan(m,{kind:Ki.SpanKind.CLIENT,attributes:h}),g=t._patchEnd(y,d);return typeof a=="function"?n.call(this,i,s,o,g):n.call(this,i,s,o,a,g)}}_getV4PatchCommandCallback(){let t=this;return n=>function(i,s,o,a){let c=Ki.trace.getSpan(Ki.context.active()),u=t._checkSkipInstrumentation(c),l=a,d=Object.keys(s)[0];if(typeof s!="object"||s.ismaster||s.hello)return n.call(this,i,s,o,a);let f;if(!u){let h=t._getV4SpanAttributes(this,i,s,d),m=t._spanNameFromAttrs(h);f=t.tracer.startSpan(m,{kind:Ki.SpanKind.CLIENT,attributes:h})}let p=t._patchEnd(f,l,this.id,d);return n.call(this,i,s,o,p)}}_getV4PatchCommandPromise(){let t=this;return n=>function(...i){let[s,o]=i,a=Ki.trace.getSpan(Ki.context.active()),c=t._checkSkipInstrumentation(a),u=Object.keys(o)[0],l=()=>{};if(typeof o!="object"||o.ismaster||o.hello)return n.apply(this,i);let d;if(!c){let h=t._getV4SpanAttributes(this,s,o,u),m=t._spanNameFromAttrs(h);d=t.tracer.startSpan(m,{kind:Ki.SpanKind.CLIENT,attributes:h})}let f=t._patchEnd(d,l,this.id,u),p=n.apply(this,i);return p.then(h=>f(null,h),h=>f(h)),p}}_getV3PatchFind(){let t=this;return n=>function(i,s,o,a,c,u){let l=Ki.trace.getSpan(Ki.context.active()),d=t._checkSkipInstrumentation(l),f=typeof c=="function"?c:u;if(d||typeof f!="function"||typeof o!="object")return typeof c=="function"?n.call(this,i,s,o,a,c):n.call(this,i,s,o,a,c,u);let p=t._getV3SpanAttributes(s,i,o,"find"),h=t._spanNameFromAttrs(p),m=t.tracer.startSpan(h,{kind:Ki.SpanKind.CLIENT,attributes:p}),y=t._patchEnd(m,f);return typeof c=="function"?n.call(this,i,s,o,a,y):n.call(this,i,s,o,a,c,y)}}_getV3PatchCursor(){let t=this;return n=>function(i,s,o,a,c,u){let l=Ki.trace.getSpan(Ki.context.active()),d=t._checkSkipInstrumentation(l),f=typeof c=="function"?c:u;if(d||typeof f!="function")return typeof c=="function"?n.call(this,i,s,o,a,c):n.call(this,i,s,o,a,c,u);let p=t._getV3SpanAttributes(s,i,o.cmd,"getMore"),h=t._spanNameFromAttrs(p),m=t.tracer.startSpan(h,{kind:Ki.SpanKind.CLIENT,attributes:p}),y=t._patchEnd(m,f);return typeof c=="function"?n.call(this,i,s,o,a,y):n.call(this,i,s,o,a,c,y)}}static _getCommandType(t){return t.createIndexes!==void 0?t_.MongodbCommandType.CREATE_INDEXES:t.findandmodify!==void 0?t_.MongodbCommandType.FIND_AND_MODIFY:t.ismaster!==void 0?t_.MongodbCommandType.IS_MASTER:t.count!==void 0?t_.MongodbCommandType.COUNT:t.aggregate!==void 0?t_.MongodbCommandType.AGGREGATE:t_.MongodbCommandType.UNKNOWN}_getV4SpanAttributes(t,n,r,i){let s,o;if(t){let c=typeof t.address=="string"?t.address.split(":"):"";c.length===2&&(s=c[0],o=c[1])}let a;return r?.documents&&r.documents[0]?a=r.documents[0]:r?.cursors?a=r.cursors:a=r,this._getSpanAttributes(n.db,n.collection,s,o,a,i)}_getV3SpanAttributes(t,n,r,i){let s,o;if(n&&n.s&&(s=n.s.options?.host??n.s.host,o=(n.s.options?.port??n.s.port)?.toString(),s==null||o==null)){let l=n.description?.address;if(l){let d=l.split(":");s=d[0],o=d[1]}}let[a,c]=t.toString().split("."),u=r?.query??r?.q??r;return this._getSpanAttributes(a,c,s,o,u,i)}_getSpanAttributes(t,n,r,i,s,o){let a={};if(this._dbSemconvStability&jn.SemconvStability.OLD&&(a[dl.ATTR_DB_SYSTEM]=dl.DB_SYSTEM_VALUE_MONGODB,a[dl.ATTR_DB_NAME]=t,a[dl.ATTR_DB_MONGODB_COLLECTION]=n,a[dl.ATTR_DB_OPERATION]=o,a[dl.ATTR_DB_CONNECTION_STRING]=`mongodb://${r}:${i}/${t}`),this._dbSemconvStability&jn.SemconvStability.STABLE&&(a[Pm.ATTR_DB_SYSTEM_NAME]=dl.DB_SYSTEM_NAME_VALUE_MONGODB,a[Pm.ATTR_DB_NAMESPACE]=t,a[Pm.ATTR_DB_OPERATION_NAME]=o,a[Pm.ATTR_DB_COLLECTION_NAME]=n),r&&i){this._netSemconvStability&jn.SemconvStability.OLD&&(a[dl.ATTR_NET_PEER_NAME]=r),this._netSemconvStability&jn.SemconvStability.STABLE&&(a[Pm.ATTR_SERVER_ADDRESS]=r);let c=parseInt(i,10);isNaN(c)||(this._netSemconvStability&jn.SemconvStability.OLD&&(a[dl.ATTR_NET_PEER_PORT]=c),this._netSemconvStability&jn.SemconvStability.STABLE&&(a[Pm.ATTR_SERVER_PORT]=c))}if(s){let{dbStatementSerializer:c}=this.getConfig(),u=typeof c=="function"?c:this._defaultDbStatementSerializer.bind(this);(0,jn.safeExecuteInTheMiddle)(()=>{let l=u(s);this._dbSemconvStability&jn.SemconvStability.OLD&&(a[dl.ATTR_DB_STATEMENT]=l),this._dbSemconvStability&jn.SemconvStability.STABLE&&(a[Pm.ATTR_DB_QUERY_TEXT]=l)},l=>{l&&this._diag.error("Error running dbStatementSerializer hook",l)},!0)}return a}_spanNameFromAttrs(t){let n;return this._dbSemconvStability&jn.SemconvStability.STABLE?n=[t[Pm.ATTR_DB_OPERATION_NAME],t[Pm.ATTR_DB_COLLECTION_NAME]].filter(r=>r).join(" ")||dl.DB_SYSTEM_NAME_VALUE_MONGODB:n=`mongodb.${t[dl.ATTR_DB_OPERATION]||"command"}`,n}_getDefaultDbStatementReplacer(){let t=new WeakSet;return(n,r)=>typeof r!="object"||!r?"?":t.has(r)?"[Circular]":(t.add(r),r)}_defaultDbStatementSerializer(t){let{enhancedDatabaseReporting:n}=this.getConfig();return n?JSON.stringify(t):JSON.stringify(t,this._getDefaultDbStatementReplacer())}_handleExecutionResult(t,n){let{responseHook:r}=this.getConfig();typeof r=="function"&&(0,jn.safeExecuteInTheMiddle)(()=>{r(t,{data:n})},i=>{i&&this._diag.error("Error running response 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if(s.kind==="ulid")iin.test(t.data)||(i=this._getOrReturnCtx(t,i),We(i,{validation:"ulid",code:Ie.invalid_string,message:s.message}),r.dirty());else if(s.kind==="url")try{new URL(t.data)}catch{i=this._getOrReturnCtx(t,i),We(i,{validation:"url",code:Ie.invalid_string,message:s.message}),r.dirty()}else s.kind==="regex"?(s.regex.lastIndex=0,s.regex.test(t.data)||(i=this._getOrReturnCtx(t,i),We(i,{validation:"regex",code:Ie.invalid_string,message:s.message}),r.dirty())):s.kind==="trim"?t.data=t.data.trim():s.kind==="includes"?t.data.includes(s.value,s.position)||(i=this._getOrReturnCtx(t,i),We(i,{code:Ie.invalid_string,validation:{includes:s.value,position:s.position},message:s.message}),r.dirty()):s.kind==="toLowerCase"?t.data=t.data.toLowerCase():s.kind==="toUpperCase"?t.data=t.data.toUpperCase():s.kind==="startsWith"?t.data.startsWith(s.value)||(i=this._getOrReturnCtx(t,i),We(i,{code:Ie.invalid_string,validation:{startsWith:s.value},message:s.message}),r.dirty()):s.kind==="endsWith"?t.data.endsWith(s.value)||(i=this._getOrReturnCtx(t,i),We(i,{code:Ie.invalid_string,validation:{endsWith:s.value},message:s.message}),r.dirty()):s.kind==="datetime"?N3e(s).test(t.data)||(i=this._getOrReturnCtx(t,i),We(i,{code:Ie.invalid_string,validation:"datetime",message:s.message}),r.dirty()):s.kind==="date"?yin.test(t.data)||(i=this._getOrReturnCtx(t,i),We(i,{code:Ie.invalid_string,validation:"date",message:s.message}),r.dirty()):s.kind==="time"?Sin(s).test(t.data)||(i=this._getOrReturnCtx(t,i),We(i,{code:Ie.invalid_string,validation:"time",message:s.message}),r.dirty()):s.kind==="duration"?cin.test(t.data)||(i=this._getOrReturnCtx(t,i),We(i,{validation:"duration",code:Ie.invalid_string,message:s.message}),r.dirty()):s.kind==="ip"?Ein(t.data,s.version)||(i=this._getOrReturnCtx(t,i),We(i,{validation:"ip",code:Ie.invalid_string,message:s.message}),r.dirty()):s.kind==="jwt"?bin(t.data,s.alg)||(i=this._getOrReturnCtx(t,i),We(i,{validation:"jwt",code:Ie.invalid_string,message:s.message}),r.dirty()):s.kind==="cidr"?_in(t.data,s.version)||(i=this._getOrReturnCtx(t,i),We(i,{validation:"cidr",code:Ie.invalid_string,message:s.message}),r.dirty()):s.kind==="base64"?min.test(t.data)||(i=this._getOrReturnCtx(t,i),We(i,{validation:"base64",code:Ie.invalid_string,message:s.message}),r.dirty()):s.kind==="base64url"?gin.test(t.data)||(i=this._getOrReturnCtx(t,i),We(i,{validation:"base64url",code:Ie.invalid_string,message:s.message}),r.dirty()):Cn.assertNever(s);return{status:r.value,value:t.data}}_regex(t,n,r){return this.refinement(i=>t.test(i),{validation:n,code:Ie.invalid_string,...ut.errToObj(r)})}_addCheck(t){return new e({...this._def,checks:[...this._def.checks,t]})}email(t){return this._addCheck({kind:"email",...ut.errToObj(t)})}url(t){return this._addCheck({kind:"url",...ut.errToObj(t)})}emoji(t){return this._addCheck({kind:"emoji",...ut.errToObj(t)})}uuid(t){return this._addCheck({kind:"uuid",...ut.errToObj(t)})}nanoid(t){return this._addCheck({kind:"nanoid",...ut.errToObj(t)})}cuid(t){return this._addCheck({kind:"cuid",...ut.errToObj(t)})}cuid2(t){return this._addCheck({kind:"cuid2",...ut.errToObj(t)})}ulid(t){return this._addCheck({kind:"ulid",...ut.errToObj(t)})}base64(t){return this._addCheck({kind:"base64",...ut.errToObj(t)})}base64url(t){return this._addCheck({kind:"base64url",...ut.errToObj(t)})}jwt(t){return this._addCheck({kind:"jwt",...ut.errToObj(t)})}ip(t){return this._addCheck({kind:"ip",...ut.errToObj(t)})}cidr(t){return this._addCheck({kind:"cidr",...ut.errToObj(t)})}datetime(t){return typeof t=="string"?this._addCheck({kind:"datetime",precision:null,offset:!1,local:!1,message:t}):this._addCheck({kind:"datetime",precision:typeof t?.precision>"u"?null:t?.precision,offset:t?.offset??!1,local:t?.local??!1,...ut.errToObj(t?.message)})}date(t){return this._addCheck({kind:"date",message:t})}time(t){return typeof t=="string"?this._addCheck({kind:"time",precision:null,message:t}):this._addCheck({kind:"time",precision:typeof t?.precision>"u"?null:t?.precision,...ut.errToObj(t?.message)})}duration(t){return this._addCheck({kind:"duration",...ut.errToObj(t)})}regex(t,n){return this._addCheck({kind:"regex",regex:t,...ut.errToObj(n)})}includes(t,n){return this._addCheck({kind:"includes",value:t,position:n?.position,...ut.errToObj(n?.message)})}startsWith(t,n){return this._addCheck({kind:"startsWith",value:t,...ut.errToObj(n)})}endsWith(t,n){return this._addCheck({kind:"endsWith",value:t,...ut.errToObj(n)})}min(t,n){return this._addCheck({kind:"min",value:t,...ut.errToObj(n)})}max(t,n){return this._addCheck({kind:"max",value:t,...ut.errToObj(n)})}length(t,n){return this._addCheck({kind:"length",value:t,...ut.errToObj(n)})}nonempty(t){return this.min(1,ut.errToObj(t))}trim(){return new e({...this._def,checks:[...this._def.checks,{kind:"trim"}]})}toLowerCase(){return new e({...this._def,checks:[...this._def.checks,{kind:"toLowerCase"}]})}toUpperCase(){return new e({...this._def,checks:[...this._def.checks,{kind:"toUpperCase"}]})}get isDatetime(){return!!this._def.checks.find(t=>t.kind==="datetime")}get isDate(){return!!this._def.checks.find(t=>t.kind==="date")}get isTime(){return!!this._def.checks.find(t=>t.kind==="time")}get isDuration(){return!!this._def.checks.find(t=>t.kind==="duration")}get isEmail(){return!!this._def.checks.find(t=>t.kind==="email")}get isURL(){return!!this._def.checks.find(t=>t.kind==="url")}get isEmoji(){return!!this._def.checks.find(t=>t.kind==="emoji")}get isUUID(){return!!this._def.checks.find(t=>t.kind==="uuid")}get isNANOID(){return!!this._def.checks.find(t=>t.kind==="nanoid")}get isCUID(){return!!this._def.checks.find(t=>t.kind==="cuid")}get isCUID2(){return!!this._def.checks.find(t=>t.kind==="cuid2")}get isULID(){return!!this._def.checks.find(t=>t.kind==="ulid")}get isIP(){return!!this._def.checks.find(t=>t.kind==="ip")}get isCIDR(){return!!this._def.checks.find(t=>t.kind==="cidr")}get isBase64(){return!!this._def.checks.find(t=>t.kind==="base64")}get isBase64url(){return!!this._def.checks.find(t=>t.kind==="base64url")}get minLength(){let t=null;for(let n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t}get maxLength(){let t=null;for(let n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t}};TS.create=e=>new TS({checks:[],typeName:Bt.ZodString,coerce:e?.coerce??!1,...un(e)});f_=class e extends mn{constructor(){super(...arguments),this.min=this.gte,this.max=this.lte,this.step=this.multipleOf}_parse(t){if(this._def.coerce&&(t.data=Number(t.data)),this._getType(t)!==Qe.number){let s=this._getOrReturnCtx(t);return We(s,{code:Ie.invalid_type,expected:Qe.number,received:s.parsedType}),Ct}let r,i=new pa;for(let s of this._def.checks)s.kind==="int"?Cn.isInteger(t.data)||(r=this._getOrReturnCtx(t,r),We(r,{code:Ie.invalid_type,expected:"integer",received:"float",message:s.message}),i.dirty()):s.kind==="min"?(s.inclusive?t.data<s.value:t.data<=s.value)&&(r=this._getOrReturnCtx(t,r),We(r,{code:Ie.too_small,minimum:s.value,type:"number",inclusive:s.inclusive,exact:!1,message:s.message}),i.dirty()):s.kind==="max"?(s.inclusive?t.data>s.value:t.data>=s.value)&&(r=this._getOrReturnCtx(t,r),We(r,{code:Ie.too_big,maximum:s.value,type:"number",inclusive:s.inclusive,exact:!1,message:s.message}),i.dirty()):s.kind==="multipleOf"?Tin(t.data,s.value)!==0&&(r=this._getOrReturnCtx(t,r),We(r,{code:Ie.not_multiple_of,multipleOf:s.value,message:s.message}),i.dirty()):s.kind==="finite"?Number.isFinite(t.data)||(r=this._getOrReturnCtx(t,r),We(r,{code:Ie.not_finite,message:s.message}),i.dirty()):Cn.assertNever(s);return{status:i.value,value:t.data}}gte(t,n){return this.setLimit("min",t,!0,ut.toString(n))}gt(t,n){return this.setLimit("min",t,!1,ut.toString(n))}lte(t,n){return this.setLimit("max",t,!0,ut.toString(n))}lt(t,n){return this.setLimit("max",t,!1,ut.toString(n))}setLimit(t,n,r,i){return new e({...this._def,checks:[...this._def.checks,{kind:t,value:n,inclusive:r,message:ut.toString(i)}]})}_addCheck(t){return new e({...this._def,checks:[...this._def.checks,t]})}int(t){return this._addCheck({kind:"int",message:ut.toString(t)})}positive(t){return this._addCheck({kind:"min",value:0,inclusive:!1,message:ut.toString(t)})}negative(t){return this._addCheck({kind:"max",value:0,inclusive:!1,message:ut.toString(t)})}nonpositive(t){return this._addCheck({kind:"max",value:0,inclusive:!0,message:ut.toString(t)})}nonnegative(t){return this._addCheck({kind:"min",value:0,inclusive:!0,message:ut.toString(t)})}multipleOf(t,n){return this._addCheck({kind:"multipleOf",value:t,message:ut.toString(n)})}finite(t){return this._addCheck({kind:"finite",message:ut.toString(t)})}safe(t){return this._addCheck({kind:"min",inclusive:!0,value:Number.MIN_SAFE_INTEGER,message:ut.toString(t)})._addCheck({kind:"max",inclusive:!0,value:Number.MAX_SAFE_INTEGER,message:ut.toString(t)})}get minValue(){let t=null;for(let n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t}get maxValue(){let t=null;for(let n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t}get isInt(){return!!this._def.checks.find(t=>t.kind==="int"||t.kind==="multipleOf"&&Cn.isInteger(t.value))}get isFinite(){let t=null,n=null;for(let r of this._def.checks){if(r.kind==="finite"||r.kind==="int"||r.kind==="multipleOf")return!0;r.kind==="min"?(n===null||r.value>n)&&(n=r.value):r.kind==="max"&&(t===null||r.value<t)&&(t=r.value)}return Number.isFinite(n)&&Number.isFinite(t)}};f_.create=e=>new f_({checks:[],typeName:Bt.ZodNumber,coerce:e?.coerce||!1,...un(e)});p_=class e extends mn{constructor(){super(...arguments),this.min=this.gte,this.max=this.lte}_parse(t){if(this._def.coerce)try{t.data=BigInt(t.data)}catch{return this._getInvalidInput(t)}if(this._getType(t)!==Qe.bigint)return this._getInvalidInput(t);let r,i=new pa;for(let s of this._def.checks)s.kind==="min"?(s.inclusive?t.data<s.value:t.data<=s.value)&&(r=this._getOrReturnCtx(t,r),We(r,{code:Ie.too_small,type:"bigint",minimum:s.value,inclusive:s.inclusive,message:s.message}),i.dirty()):s.kind==="max"?(s.inclusive?t.data>s.value:t.data>=s.value)&&(r=this._getOrReturnCtx(t,r),We(r,{code:Ie.too_big,type:"bigint",maximum:s.value,inclusive:s.inclusive,message:s.message}),i.dirty()):s.kind==="multipleOf"?t.data%s.value!==BigInt(0)&&(r=this._getOrReturnCtx(t,r),We(r,{code:Ie.not_multiple_of,multipleOf:s.value,message:s.message}),i.dirty()):Cn.assertNever(s);return{status:i.value,value:t.data}}_getInvalidInput(t){let n=this._getOrReturnCtx(t);return We(n,{code:Ie.invalid_type,expected:Qe.bigint,received:n.parsedType}),Ct}gte(t,n){return this.setLimit("min",t,!0,ut.toString(n))}gt(t,n){return this.setLimit("min",t,!1,ut.toString(n))}lte(t,n){return this.setLimit("max",t,!0,ut.toString(n))}lt(t,n){return this.setLimit("max",t,!1,ut.toString(n))}setLimit(t,n,r,i){return new e({...this._def,checks:[...this._def.checks,{kind:t,value:n,inclusive:r,message:ut.toString(i)}]})}_addCheck(t){return new e({...this._def,checks:[...this._def.checks,t]})}positive(t){return this._addCheck({kind:"min",value:BigInt(0),inclusive:!1,message:ut.toString(t)})}negative(t){return this._addCheck({kind:"max",value:BigInt(0),inclusive:!1,message:ut.toString(t)})}nonpositive(t){return this._addCheck({kind:"max",value:BigInt(0),inclusive:!0,message:ut.toString(t)})}nonnegative(t){return this._addCheck({kind:"min",value:BigInt(0),inclusive:!0,message:ut.toString(t)})}multipleOf(t,n){return this._addCheck({kind:"multipleOf",value:t,message:ut.toString(n)})}get minValue(){let t=null;for(let n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t}get maxValue(){let t=null;for(let n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t}};p_.create=e=>new p_({checks:[],typeName:Bt.ZodBigInt,coerce:e?.coerce??!1,...un(e)});h_=class extends mn{_parse(t){if(this._def.coerce&&(t.data=!!t.data),this._getType(t)!==Qe.boolean){let r=this._getOrReturnCtx(t);return We(r,{code:Ie.invalid_type,expected:Qe.boolean,received:r.parsedType}),Ct}return ec(t.data)}};h_.create=e=>new h_({typeName:Bt.ZodBoolean,coerce:e?.coerce||!1,...un(e)});m_=class e extends mn{_parse(t){if(this._def.coerce&&(t.data=new Date(t.data)),this._getType(t)!==Qe.date){let s=this._getOrReturnCtx(t);return We(s,{code:Ie.invalid_type,expected:Qe.date,received:s.parsedType}),Ct}if(Number.isNaN(t.data.getTime())){let s=this._getOrReturnCtx(t);return We(s,{code:Ie.invalid_date}),Ct}let r=new pa,i;for(let s of this._def.checks)s.kind==="min"?t.data.getTime()<s.value&&(i=this._getOrReturnCtx(t,i),We(i,{code:Ie.too_small,message:s.message,inclusive:!0,exact:!1,minimum:s.value,type:"date"}),r.dirty()):s.kind==="max"?t.data.getTime()>s.value&&(i=this._getOrReturnCtx(t,i),We(i,{code:Ie.too_big,message:s.message,inclusive:!0,exact:!1,maximum:s.value,type:"date"}),r.dirty()):Cn.assertNever(s);return{status:r.value,value:new Date(t.data.getTime())}}_addCheck(t){return new e({...this._def,checks:[...this._def.checks,t]})}min(t,n){return this._addCheck({kind:"min",value:t.getTime(),message:ut.toString(n)})}max(t,n){return this._addCheck({kind:"max",value:t.getTime(),message:ut.toString(n)})}get minDate(){let t=null;for(let n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t!=null?new Date(t):null}get maxDate(){let t=null;for(let n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t!=null?new Date(t):null}};m_.create=e=>new m_({checks:[],coerce:e?.coerce||!1,typeName:Bt.ZodDate,...un(e)});Pw=class extends mn{_parse(t){if(this._getType(t)!==Qe.symbol){let r=this._getOrReturnCtx(t);return We(r,{code:Ie.invalid_type,expected:Qe.symbol,received:r.parsedType}),Ct}return ec(t.data)}};Pw.create=e=>new Pw({typeName:Bt.ZodSymbol,...un(e)});g_=class extends mn{_parse(t){if(this._getType(t)!==Qe.undefined){let r=this._getOrReturnCtx(t);return We(r,{code:Ie.invalid_type,expected:Qe.undefined,received:r.parsedType}),Ct}return ec(t.data)}};g_.create=e=>new g_({typeName:Bt.ZodUndefined,...un(e)});y_=class extends mn{_parse(t){if(this._getType(t)!==Qe.null){let r=this._getOrReturnCtx(t);return We(r,{code:Ie.invalid_type,expected:Qe.null,received:r.parsedType}),Ct}return ec(t.data)}};y_.create=e=>new y_({typeName:Bt.ZodNull,...un(e)});vS=class extends mn{constructor(){super(...arguments),this._any=!0}_parse(t){return ec(t.data)}};vS.create=e=>new vS({typeName:Bt.ZodAny,...un(e)});jm=class extends mn{constructor(){super(...arguments),this._unknown=!0}_parse(t){return ec(t.data)}};jm.create=e=>new jm({typeName:Bt.ZodUnknown,...un(e)});Ef=class extends mn{_parse(t){let n=this._getOrReturnCtx(t);return We(n,{code:Ie.invalid_type,expected:Qe.never,received:n.parsedType}),Ct}};Ef.create=e=>new Ef({typeName:Bt.ZodNever,...un(e)});Cw=class extends mn{_parse(t){if(this._getType(t)!==Qe.undefined){let r=this._getOrReturnCtx(t);return We(r,{code:Ie.invalid_type,expected:Qe.void,received:r.parsedType}),Ct}return ec(t.data)}};Cw.create=e=>new Cw({typeName:Bt.ZodVoid,...un(e)});Hm=class e extends mn{_parse(t){let{ctx:n,status:r}=this._processInputParams(t),i=this._def;if(n.parsedType!==Qe.array)return We(n,{code:Ie.invalid_type,expected:Qe.array,received:n.parsedType}),Ct;if(i.exactLength!==null){let o=n.data.length>i.exactLength.value,a=n.data.length<i.exactLength.value;(o||a)&&(We(n,{code:o?Ie.too_big:Ie.too_small,minimum:a?i.exactLength.value:void 0,maximum:o?i.exactLength.value:void 0,type:"array",inclusive:!0,exact:!0,message:i.exactLength.message}),r.dirty())}if(i.minLength!==null&&n.data.length<i.minLength.value&&(We(n,{code:Ie.too_small,minimum:i.minLength.value,type:"array",inclusive:!0,exact:!1,message:i.minLength.message}),r.dirty()),i.maxLength!==null&&n.data.length>i.maxLength.value&&(We(n,{code:Ie.too_big,maximum:i.maxLength.value,type:"array",inclusive:!0,exact:!1,message:i.maxLength.message}),r.dirty()),n.common.async)return Promise.all([...n.data].map((o,a)=>i.type._parseAsync(new ad(n,o,n.path,a)))).then(o=>pa.mergeArray(r,o));let s=[...n.data].map((o,a)=>i.type._parseSync(new ad(n,o,n.path,a)));return pa.mergeArray(r,s)}get element(){return this._def.type}min(t,n){return new e({...this._def,minLength:{value:t,message:ut.toString(n)}})}max(t,n){return new e({...this._def,maxLength:{value:t,message:ut.toString(n)}})}length(t,n){return new e({...this._def,exactLength:{value:t,message:ut.toString(n)}})}nonempty(t){return this.min(1,t)}};Hm.create=(e,t)=>new Hm({type:e,minLength:null,maxLength:null,exactLength:null,typeName:Bt.ZodArray,...un(t)});Su=class e extends mn{constructor(){super(...arguments),this._cached=null,this.nonstrict=this.passthrough,this.augment=this.extend}_getCached(){if(this._cached!==null)return this._cached;let t=this._def.shape(),n=Cn.objectKeys(t);return this._cached={shape:t,keys:n},this._cached}_parse(t){if(this._getType(t)!==Qe.object){let u=this._getOrReturnCtx(t);return We(u,{code:Ie.invalid_type,expected:Qe.object,received:u.parsedType}),Ct}let{status:r,ctx:i}=this._processInputParams(t),{shape:s,keys:o}=this._getCached(),a=[];if(!(this._def.catchall instanceof Ef&&this._def.unknownKeys==="strip"))for(let u in i.data)o.includes(u)||a.push(u);let c=[];for(let u of o){let l=s[u],d=i.data[u];c.push({key:{status:"valid",value:u},value:l._parse(new ad(i,d,i.path,u)),alwaysSet:u in i.data})}if(this._def.catchall instanceof Ef){let u=this._def.unknownKeys;if(u==="passthrough")for(let l of a)c.push({key:{status:"valid",value:l},value:{status:"valid",value:i.data[l]}});else if(u==="strict")a.length>0&&(We(i,{code:Ie.unrecognized_keys,keys:a}),r.dirty());else if(u!=="strip")throw new Error("Internal ZodObject error: invalid unknownKeys value.")}else{let u=this._def.catchall;for(let l of a){let d=i.data[l];c.push({key:{status:"valid",value:l},value:u._parse(new ad(i,d,i.path,l)),alwaysSet:l in i.data})}}return i.common.async?Promise.resolve().then(async()=>{let u=[];for(let l of c){let d=await l.key,f=await l.value;u.push({key:d,value:f,alwaysSet:l.alwaysSet})}return u}).then(u=>pa.mergeObjectSync(r,u)):pa.mergeObjectSync(r,c)}get shape(){return this._def.shape()}strict(t){return ut.errToObj,new e({...this._def,unknownKeys:"strict",...t!==void 0?{errorMap:(n,r)=>{let i=this._def.errorMap?.(n,r).message??r.defaultError;return n.code==="unrecognized_keys"?{message:ut.errToObj(t).message??i}:{message:i}}}:{}})}strip(){return new e({...this._def,unknownKeys:"strip"})}passthrough(){return new e({...this._def,unknownKeys:"passthrough"})}extend(t){return new e({...this._def,shape:()=>({...this._def.shape(),...t})})}merge(t){return new e({unknownKeys:t._def.unknownKeys,catchall:t._def.catchall,shape:()=>({...this._def.shape(),...t._def.shape()}),typeName:Bt.ZodObject})}setKey(t,n){return this.augment({[t]:n})}catchall(t){return new e({...this._def,catchall:t})}pick(t){let n={};for(let r of Cn.objectKeys(t))t[r]&&this.shape[r]&&(n[r]=this.shape[r]);return new e({...this._def,shape:()=>n})}omit(t){let n={};for(let r of Cn.objectKeys(this.shape))t[r]||(n[r]=this.shape[r]);return new e({...this._def,shape:()=>n})}deepPartial(){return Nw(this)}partial(t){let n={};for(let r of Cn.objectKeys(this.shape)){let i=this.shape[r];t&&!t[r]?n[r]=i:n[r]=i.optional()}return new e({...this._def,shape:()=>n})}required(t){let 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_ze=w(VA=>{"use strict";Object.defineProperty(VA,"__esModule",{value:!0});VA.PACKAGE_NAME=VA.PACKAGE_VERSION=void 0;VA.PACKAGE_VERSION="0.23.0";VA.PACKAGE_NAME="@opentelemetry/instrumentation-kafkajs"});var kze=w(az=>{"use strict";Object.defineProperty(az,"__esModule",{value:!0});az.KafkaJsInstrumentation=void 0;var Lr=(Ce(),ke(Ze)),td=Jt(),WA=(Pn(),ke(Mr)),Tze=Sze(),vze=bze(),ot=Eze(),Rze=_ze();function oz(e,t,n){return r=>{e.add(t,{...n,...r?{[WA.ATTR_ERROR_TYPE]:r}:{}})}}function Aze(e,t,n){return r=>{e.record((Date.now()-t)/1e3,{...n,...r?{[WA.ATTR_ERROR_TYPE]:r}:{}})}}var wze=[.005,.01,.025,.05,.075,.1,.25,.5,.75,1,2.5,5,7.5,10],lte=class extends td.InstrumentationBase{constructor(t={}){super(Rze.PACKAGE_NAME,Rze.PACKAGE_VERSION,t)}_updateMetricInstruments(){this._clientDuration=this.meter.createHistogram(ot.METRIC_MESSAGING_CLIENT_OPERATION_DURATION,{advice:{explicitBucketBoundaries:wze}}),this._sentMessages=this.meter.createCounter(ot.METRIC_MESSAGING_CLIENT_SENT_MESSAGES),this._consumedMessages=this.meter.createCounter(ot.METRIC_MESSAGING_CLIENT_CONSUMED_MESSAGES),this._processDuration=this.meter.createHistogram(ot.METRIC_MESSAGING_PROCESS_DURATION,{advice:{explicitBucketBoundaries:wze}})}init(){let t=r=>{(0,td.isWrapped)(r?.Kafka?.prototype.producer)&&this._unwrap(r.Kafka.prototype,"producer"),(0,td.isWrapped)(r?.Kafka?.prototype.consumer)&&this._unwrap(r.Kafka.prototype,"consumer")};return new td.InstrumentationNodeModuleDefinition("kafkajs",[">=0.3.0 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s=n.apply(this,i);return(0,td.isWrapped)(s.sendBatch)&&t._unwrap(s,"sendBatch"),t._wrap(s,"sendBatch",t._getSendBatchPatch()),(0,td.isWrapped)(s.send)&&t._unwrap(s,"send"),t._wrap(s,"send",t._getSendPatch()),(0,td.isWrapped)(s.transaction)&&t._unwrap(s,"transaction"),t._wrap(s,"transaction",t._getProducerTransactionPatch()),t._setKafkaEventListeners(s),s}}_getConsumerRunPatch(){let t=this;return n=>function(...i){let s=i[0];return s?.eachMessage&&((0,td.isWrapped)(s.eachMessage)&&t._unwrap(s,"eachMessage"),t._wrap(s,"eachMessage",t._getConsumerEachMessagePatch())),s?.eachBatch&&((0,td.isWrapped)(s.eachBatch)&&t._unwrap(s,"eachBatch"),t._wrap(s,"eachBatch",t._getConsumerEachBatchPatch())),n.call(this,s)}}_getConsumerEachMessagePatch(){let t=this;return n=>function(...i){let s=i[0],o=Lr.propagation.extract(Lr.ROOT_CONTEXT,s.message.headers,vze.bufferTextMapGetter),a=t._startConsumerSpan({topic:s.topic,message:s.message,operationType:ot.MESSAGING_OPERATION_TYPE_VALUE_PROCESS,ctx:o,attributes:{[ot.ATTR_MESSAGING_DESTINATION_PARTITION_ID]:String(s.partition)}}),c=[Aze(t._processDuration,Date.now(),{[ot.ATTR_MESSAGING_SYSTEM]:ot.MESSAGING_SYSTEM_VALUE_KAFKA,[ot.ATTR_MESSAGING_OPERATION_NAME]:"process",[ot.ATTR_MESSAGING_DESTINATION_NAME]:s.topic,[ot.ATTR_MESSAGING_DESTINATION_PARTITION_ID]:String(s.partition)}),oz(t._consumedMessages,1,{[ot.ATTR_MESSAGING_SYSTEM]:ot.MESSAGING_SYSTEM_VALUE_KAFKA,[ot.ATTR_MESSAGING_OPERATION_NAME]:"process",[ot.ATTR_MESSAGING_DESTINATION_NAME]:s.topic,[ot.ATTR_MESSAGING_DESTINATION_PARTITION_ID]:String(s.partition)})],u=Lr.context.with(Lr.trace.setSpan(o,a),()=>n.apply(this,i));return t._endSpansOnPromise([a],c,u)}}_getConsumerEachBatchPatch(){return t=>{let n=this;return function(...i){let s=i[0],o=n._startConsumerSpan({topic:s.batch.topic,message:void 0,operationType:ot.MESSAGING_OPERATION_TYPE_VALUE_RECEIVE,ctx:Lr.ROOT_CONTEXT,attributes:{[ot.ATTR_MESSAGING_BATCH_MESSAGE_COUNT]:s.batch.messages.length,[ot.ATTR_MESSAGING_DESTINATION_PARTITION_ID]:String(s.batch.partition)}});return Lr.context.with(Lr.trace.setSpan(Lr.context.active(),o),()=>{let a=Date.now(),c=[],u=[oz(n._consumedMessages,s.batch.messages.length,{[ot.ATTR_MESSAGING_SYSTEM]:ot.MESSAGING_SYSTEM_VALUE_KAFKA,[ot.ATTR_MESSAGING_OPERATION_NAME]:"process",[ot.ATTR_MESSAGING_DESTINATION_NAME]:s.batch.topic,[ot.ATTR_MESSAGING_DESTINATION_PARTITION_ID]:String(s.batch.partition)})];s.batch.messages.forEach(d=>{let f=Lr.propagation.extract(Lr.ROOT_CONTEXT,d.headers,vze.bufferTextMapGetter),p=Lr.trace.getSpan(f)?.spanContext(),h;p&&(h={context:p}),c.push(n._startConsumerSpan({topic:s.batch.topic,message:d,operationType:ot.MESSAGING_OPERATION_TYPE_VALUE_PROCESS,link:h,attributes:{[ot.ATTR_MESSAGING_DESTINATION_PARTITION_ID]:String(s.batch.partition)}})),u.push(Aze(n._processDuration,a,{[ot.ATTR_MESSAGING_SYSTEM]:ot.MESSAGING_SYSTEM_VALUE_KAFKA,[ot.ATTR_MESSAGING_OPERATION_NAME]:"process",[ot.ATTR_MESSAGING_DESTINATION_NAME]:s.batch.topic,[ot.ATTR_MESSAGING_DESTINATION_PARTITION_ID]:String(s.batch.partition)}))});let l=t.apply(this,i);return c.unshift(o),n._endSpansOnPromise(c,u,l)})}}}_getProducerTransactionPatch(){let t=this;return n=>function(...i){let s=t.tracer.startSpan("transaction"),o=n.apply(this,i);return o.then(a=>{let c=a.send;a.send=function(...p){return Lr.context.with(Lr.trace.setSpan(Lr.context.active(),s),()=>t._getSendPatch()(c).apply(this,p).catch(m=>{throw 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o=i[0].topicMessages||[],a=[],c=[];o.forEach(l=>{l.messages.forEach(d=>{a.push(t._startProducerSpan(l.topic,d)),c.push(oz(t._sentMessages,1,{[ot.ATTR_MESSAGING_SYSTEM]:ot.MESSAGING_SYSTEM_VALUE_KAFKA,[ot.ATTR_MESSAGING_OPERATION_NAME]:"send",[ot.ATTR_MESSAGING_DESTINATION_NAME]:l.topic,...d.partition!==void 0?{[ot.ATTR_MESSAGING_DESTINATION_PARTITION_ID]:String(d.partition)}:{}}))})});let u=n.apply(this,i);return t._endSpansOnPromise(a,c,u)}}_getSendPatch(){let t=this;return n=>function(...i){let s=i[0],o=s.messages.map(u=>t._startProducerSpan(s.topic,u)),a=s.messages.map(u=>oz(t._sentMessages,1,{[ot.ATTR_MESSAGING_SYSTEM]:ot.MESSAGING_SYSTEM_VALUE_KAFKA,[ot.ATTR_MESSAGING_OPERATION_NAME]:"send",[ot.ATTR_MESSAGING_DESTINATION_NAME]:s.topic,...u.partition!==void 0?{[ot.ATTR_MESSAGING_DESTINATION_PARTITION_ID]:String(u.partition)}:{}})),c=n.apply(this,i);return t._endSpansOnPromise(o,a,c)}}_endSpansOnPromise(t,n,r){return Promise.resolve(r).then(i=>(n.forEach(s=>s()),i)).catch(i=>{let s,o=WA.ERROR_TYPE_VALUE_OTHER;throw typeof i=="string"||i===void 0?s=i:typeof i=="object"&&Object.prototype.hasOwnProperty.call(i,"message")&&(s=i.message,o=i.constructor.name),n.forEach(a=>a(o)),t.forEach(a=>{a.setAttribute(WA.ATTR_ERROR_TYPE,o),a.setStatus({code:Lr.SpanStatusCode.ERROR,message:s})}),i}).finally(()=>{t.forEach(i=>i.end())})}_startConsumerSpan({topic:t,message:n,operationType:r,ctx:i,link:s,attributes:o}){let a=r===ot.MESSAGING_OPERATION_TYPE_VALUE_RECEIVE?"poll":r,c=this.tracer.startSpan(`${a} ${t}`,{kind:r===ot.MESSAGING_OPERATION_TYPE_VALUE_RECEIVE?Lr.SpanKind.CLIENT:Lr.SpanKind.CONSUMER,attributes:{...o,[ot.ATTR_MESSAGING_SYSTEM]:ot.MESSAGING_SYSTEM_VALUE_KAFKA,[ot.ATTR_MESSAGING_DESTINATION_NAME]:t,[ot.ATTR_MESSAGING_OPERATION_TYPE]:r,[ot.ATTR_MESSAGING_OPERATION_NAME]:a,[ot.ATTR_MESSAGING_KAFKA_MESSAGE_KEY]:n?.key?String(n.key):void 0,[ot.ATTR_MESSAGING_KAFKA_MESSAGE_TOMBSTONE]:n?.key&&n.value===null?!0:void 0,[ot.ATTR_MESSAGING_KAFKA_OFFSET]:n?.offset},links:s?[s]:[]},i),{consumerHook:u}=this.getConfig();return u&&n&&(0,td.safeExecuteInTheMiddle)(()=>u(c,{topic:t,message:n}),l=>{l&&this._diag.error("consumerHook error",l)},!0),c}_startProducerSpan(t,n){let r=this.tracer.startSpan(`send ${t}`,{kind:Lr.SpanKind.PRODUCER,attributes:{[ot.ATTR_MESSAGING_SYSTEM]:ot.MESSAGING_SYSTEM_VALUE_KAFKA,[ot.ATTR_MESSAGING_DESTINATION_NAME]:t,[ot.ATTR_MESSAGING_KAFKA_MESSAGE_KEY]:n.key?String(n.key):void 0,[ot.ATTR_MESSAGING_KAFKA_MESSAGE_TOMBSTONE]:n.key&&n.value===null?!0:void 0,[ot.ATTR_MESSAGING_DESTINATION_PARTITION_ID]:n.partition!==void 0?String(n.partition):void 0,[ot.ATTR_MESSAGING_OPERATION_NAME]:"send",[ot.ATTR_MESSAGING_OPERATION_TYPE]:ot.MESSAGING_OPERATION_TYPE_VALUE_SEND}});n.headers=n.headers??{},Lr.propagation.inject(Lr.trace.setSpan(Lr.context.active(),r),n.headers);let{producerHook:i}=this.getConfig();return 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Dze=(Ce(),ke(Ze)),Lze=Jt(),Uze=Mze(),dte=class extends Lze.InstrumentationBase{constructor(t={}){super(Uze.PACKAGE_NAME,Uze.PACKAGE_VERSION,t)}init(){return[new Lze.InstrumentationNodeModuleDefinition("lru-memoizer",[">=1.3 <4"],t=>{let n=function(){let r=t.apply(this,arguments);return function(){let i=[...arguments],s=i.pop(),o=typeof s=="function"?Dze.context.bind(Dze.context.active(),s):s;return i.push(o),r.apply(this,i)}};return n.sync=t.sync,n},void 0)]}};uz.LruMemoizerInstrumentation=dte});var jze=w(lz=>{"use strict";Object.defineProperty(lz,"__esModule",{value:!0});lz.LruMemoizerInstrumentation=void 0;var ZQt=Fze();Object.defineProperty(lz,"LruMemoizerInstrumentation",{enumerable:!0,get:function(){return ZQt.LruMemoizerInstrumentation}})});var Hze,qze,Bze,JQt,zze,Gze=v(()=>{Hze=Re(jze(),1);sr();qze="LruMemoizer",Bze=rt(qze,()=>new Hze.LruMemoizerInstrumentation),JQt=(()=>({name:qze,setupOnce(){Bze()}})),zze=JQt});var Vze=w(Ni=>{"use 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XQt;(function(e){e.CREATE_INDEXES="createIndexes",e.FIND_AND_MODIFY="findAndModify",e.IS_MASTER="isMaster",e.COUNT="count",e.AGGREGATE="aggregate",e.UNKNOWN="unknown"})(XQt=sN.MongodbCommandType||(sN.MongodbCommandType={}))});var Kze=w(YA=>{"use strict";Object.defineProperty(YA,"__esModule",{value:!0});YA.PACKAGE_NAME=YA.PACKAGE_VERSION=void 0;YA.PACKAGE_VERSION="0.67.0";YA.PACKAGE_NAME="@opentelemetry/instrumentation-mongodb"});var Jze=w(dz=>{"use strict";Object.defineProperty(dz,"__esModule",{value:!0});dz.MongoDBInstrumentation=void 0;var Ki=(Ce(),ke(Ze)),jn=Jt(),Cm=(Pn(),ke(Mr)),hl=Vze(),r_=Wze(),Yze=Kze(),Zze={requireParentSpan:!0},fte=class e extends jn.InstrumentationBase{_netSemconvStability;_dbSemconvStability;constructor(t={}){super(Yze.PACKAGE_NAME,Yze.PACKAGE_VERSION,{...Zze,...t}),this._setSemconvStabilityFromEnv()}_setSemconvStabilityFromEnv(){this._netSemconvStability=(0,jn.semconvStabilityFromStr)("http",process.env.OTEL_SEMCONV_STABILITY_OPT_IN),this._dbSemconvStability=(0,jn.semconvStabilityFromStr)("database",process.env.OTEL_SEMCONV_STABILITY_OPT_IN)}setConfig(t={}){super.setConfig({...Zze,...t})}_updateMetricInstruments(){this._connectionsUsage=this.meter.createUpDownCounter(hl.METRIC_DB_CLIENT_CONNECTIONS_USAGE,{description:"The number of connections that are currently in state described by the state 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jn.InstrumentationNodeModuleFile("mongodb/lib/cmap/connection_pool.js",[">=4.0.0 <6.4"],c,u),new jn.InstrumentationNodeModuleFile("mongodb/lib/cmap/connect.js",[">=4.0.0 <8"],r,i),new jn.InstrumentationNodeModuleFile("mongodb/lib/sessions.js",[">=4.0.0 <8"],l,d)])]}_getV3ConnectionPatches(){return{v3PatchConnection:t=>((0,jn.isWrapped)(t.insert)&&this._unwrap(t,"insert"),this._wrap(t,"insert",this._getV3PatchOperation("insert")),(0,jn.isWrapped)(t.remove)&&this._unwrap(t,"remove"),this._wrap(t,"remove",this._getV3PatchOperation("remove")),(0,jn.isWrapped)(t.update)&&this._unwrap(t,"update"),this._wrap(t,"update",this._getV3PatchOperation("update")),(0,jn.isWrapped)(t.command)&&this._unwrap(t,"command"),this._wrap(t,"command",this._getV3PatchCommand()),(0,jn.isWrapped)(t.query)&&this._unwrap(t,"query"),this._wrap(t,"query",this._getV3PatchFind()),(0,jn.isWrapped)(t.getMore)&&this._unwrap(t,"getMore"),this._wrap(t,"getMore",this._getV3PatchCursor()),t),v3UnpatchConnection:t=>{t!==void 0&&(this._unwrap(t,"insert"),this._unwrap(t,"remove"),this._unwrap(t,"update"),this._unwrap(t,"command"),this._unwrap(t,"query"),this._unwrap(t,"getMore"))}}}_getV4SessionsPatches(){return{v4PatchSessions:t=>((0,jn.isWrapped)(t.acquire)&&this._unwrap(t,"acquire"),this._wrap(t.ServerSessionPool.prototype,"acquire",this._getV4AcquireCommand()),(0,jn.isWrapped)(t.release)&&this._unwrap(t,"release"),this._wrap(t.ServerSessionPool.prototype,"release",this._getV4ReleaseCommand()),t),v4UnpatchSessions:t=>{t!==void 0&&((0,jn.isWrapped)(t.acquire)&&this._unwrap(t,"acquire"),(0,jn.isWrapped)(t.release)&&this._unwrap(t,"release"))}}}_getV4AcquireCommand(){let t=this;return n=>function(){let i=this.sessions.length,s=n.call(this),o=this.sessions.length;return i===o?t._connCountAdd(1,t._poolName,"used"):i-1===o&&(t._connCountAdd(-1,t._poolName,"idle"),t._connCountAdd(1,t._poolName,"used")),s}}_getV4ReleaseCommand(){let t=this;return n=>function(i){let s=n.call(this,i);return t._connCountAdd(-1,t._poolName,"used"),t._connCountAdd(1,t._poolName,"idle"),s}}_getV4ConnectionPoolPatches(){return{v4PatchConnectionPool:t=>{let n=t.ConnectionPool.prototype;return(0,jn.isWrapped)(n.checkOut)&&this._unwrap(n,"checkOut"),this._wrap(n,"checkOut",this._getV4ConnectionPoolCheckOut()),t},v4UnpatchConnectionPool:t=>{t!==void 0&&this._unwrap(t.ConnectionPool.prototype,"checkOut")}}}_getV4ConnectPatches(){return{v4PatchConnect:t=>((0,jn.isWrapped)(t.connect)&&this._unwrap(t,"connect"),this._wrap(t,"connect",this._getV4ConnectCommand()),t),v4UnpatchConnect:t=>{t!==void 0&&this._unwrap(t,"connect")}}}_getV4ConnectionPoolCheckOut(){return t=>function(r){let i=Ki.context.bind(Ki.context.active(),r);return t.call(this,i)}}_getV4ConnectCommand(){let t=this;return n=>function(i,s){if(n.length===1){let a=n.call(this,i);return a&&typeof a.then=="function"&&a.then(()=>t.setPoolName(i),()=>{}),a}let o=function(a,c){if(a||!c){s(a,c);return}t.setPoolName(i),s(a,c)};return n.call(this,i,o)}}_getV4ConnectionPatches(){return{v4PatchConnectionCallback:t=>((0,jn.isWrapped)(t.Connection.prototype.command)&&this._unwrap(t.Connection.prototype,"command"),this._wrap(t.Connection.prototype,"command",this._getV4PatchCommandCallback()),t),v4PatchConnectionPromise:t=>((0,jn.isWrapped)(t.Connection.prototype.command)&&this._unwrap(t.Connection.prototype,"command"),this._wrap(t.Connection.prototype,"command",this._getV4PatchCommandPromise()),t),v4UnpatchConnection:t=>{t!==void 0&&this._unwrap(t.Connection.prototype,"command")}}}_getV3PatchOperation(t){let n=this;return r=>function(s,o,a,c,u){let l=Ki.trace.getSpan(Ki.context.active()),d=n._checkSkipInstrumentation(l),f=typeof c=="function"?c:u;if(d||typeof f!="function"||typeof a!="object")return typeof c=="function"?r.call(this,s,o,a,c):r.call(this,s,o,a,c,u);let p=n._getV3SpanAttributes(o,s,a[0],t),h=n._spanNameFromAttrs(p),m=n.tracer.startSpan(h,{kind:Ki.SpanKind.CLIENT,attributes:p}),g=n._patchEnd(m,f);return typeof c=="function"?r.call(this,s,o,a,g):r.call(this,s,o,a,c,g)}}_getV3PatchCommand(){let t=this;return n=>function(i,s,o,a,c){let u=Ki.trace.getSpan(Ki.context.active()),l=t._checkSkipInstrumentation(u),d=typeof a=="function"?a:c;if(l||typeof d!="function"||typeof o!="object")return typeof a=="function"?n.call(this,i,s,o,a):n.call(this,i,s,o,a,c);let f=e._getCommandType(o),p=f===r_.MongodbCommandType.UNKNOWN?void 0:f,h=t._getV3SpanAttributes(s,i,o,p),m=t._spanNameFromAttrs(h),g=t.tracer.startSpan(m,{kind:Ki.SpanKind.CLIENT,attributes:h}),y=t._patchEnd(g,d);return typeof a=="function"?n.call(this,i,s,o,y):n.call(this,i,s,o,a,y)}}_getV4PatchCommandCallback(){let t=this;return n=>function(i,s,o,a){let c=Ki.trace.getSpan(Ki.context.active()),u=t._checkSkipInstrumentation(c),l=a,d=Object.keys(s)[0];if(typeof s!="object"||s.ismaster||s.hello)return n.call(this,i,s,o,a);let f;if(!u){let h=t._getV4SpanAttributes(this,i,s,d),m=t._spanNameFromAttrs(h);f=t.tracer.startSpan(m,{kind:Ki.SpanKind.CLIENT,attributes:h})}let p=t._patchEnd(f,l,this.id,d);return n.call(this,i,s,o,p)}}_getV4PatchCommandPromise(){let t=this;return n=>function(...i){let[s,o]=i,a=Ki.trace.getSpan(Ki.context.active()),c=t._checkSkipInstrumentation(a),u=Object.keys(o)[0],l=()=>{};if(typeof o!="object"||o.ismaster||o.hello)return n.apply(this,i);let d;if(!c){let h=t._getV4SpanAttributes(this,s,o,u),m=t._spanNameFromAttrs(h);d=t.tracer.startSpan(m,{kind:Ki.SpanKind.CLIENT,attributes:h})}let f=t._patchEnd(d,l,this.id,u),p=n.apply(this,i);return p.then(h=>f(null,h),h=>f(h)),p}}_getV3PatchFind(){let t=this;return n=>function(i,s,o,a,c,u){let l=Ki.trace.getSpan(Ki.context.active()),d=t._checkSkipInstrumentation(l),f=typeof c=="function"?c:u;if(d||typeof f!="function"||typeof o!="object")return typeof c=="function"?n.call(this,i,s,o,a,c):n.call(this,i,s,o,a,c,u);let p=t._getV3SpanAttributes(s,i,o,"find"),h=t._spanNameFromAttrs(p),m=t.tracer.startSpan(h,{kind:Ki.SpanKind.CLIENT,attributes:p}),g=t._patchEnd(m,f);return typeof c=="function"?n.call(this,i,s,o,a,g):n.call(this,i,s,o,a,c,g)}}_getV3PatchCursor(){let t=this;return n=>function(i,s,o,a,c,u){let l=Ki.trace.getSpan(Ki.context.active()),d=t._checkSkipInstrumentation(l),f=typeof c=="function"?c:u;if(d||typeof f!="function")return typeof c=="function"?n.call(this,i,s,o,a,c):n.call(this,i,s,o,a,c,u);let p=t._getV3SpanAttributes(s,i,o.cmd,"getMore"),h=t._spanNameFromAttrs(p),m=t.tracer.startSpan(h,{kind:Ki.SpanKind.CLIENT,attributes:p}),g=t._patchEnd(m,f);return typeof c=="function"?n.call(this,i,s,o,a,g):n.call(this,i,s,o,a,c,g)}}static _getCommandType(t){return t.createIndexes!==void 0?r_.MongodbCommandType.CREATE_INDEXES:t.findandmodify!==void 0?r_.MongodbCommandType.FIND_AND_MODIFY:t.ismaster!==void 0?r_.MongodbCommandType.IS_MASTER:t.count!==void 0?r_.MongodbCommandType.COUNT:t.aggregate!==void 0?r_.MongodbCommandType.AGGREGATE:r_.MongodbCommandType.UNKNOWN}_getV4SpanAttributes(t,n,r,i){let s,o;if(t){let c=typeof t.address=="string"?t.address.split(":"):"";c.length===2&&(s=c[0],o=c[1])}let a;return r?.documents&&r.documents[0]?a=r.documents[0]:r?.cursors?a=r.cursors:a=r,this._getSpanAttributes(n.db,n.collection,s,o,a,i)}_getV3SpanAttributes(t,n,r,i){let s,o;if(n&&n.s&&(s=n.s.options?.host??n.s.host,o=(n.s.options?.port??n.s.port)?.toString(),s==null||o==null)){let l=n.description?.address;if(l){let d=l.split(":");s=d[0],o=d[1]}}let[a,c]=t.toString().split("."),u=r?.query??r?.q??r;return this._getSpanAttributes(a,c,s,o,u,i)}_getSpanAttributes(t,n,r,i,s,o){let a={};if(this._dbSemconvStability&jn.SemconvStability.OLD&&(a[hl.ATTR_DB_SYSTEM]=hl.DB_SYSTEM_VALUE_MONGODB,a[hl.ATTR_DB_NAME]=t,a[hl.ATTR_DB_MONGODB_COLLECTION]=n,a[hl.ATTR_DB_OPERATION]=o,a[hl.ATTR_DB_CONNECTION_STRING]=`mongodb://${r}:${i}/${t}`),this._dbSemconvStability&jn.SemconvStability.STABLE&&(a[Cm.ATTR_DB_SYSTEM_NAME]=hl.DB_SYSTEM_NAME_VALUE_MONGODB,a[Cm.ATTR_DB_NAMESPACE]=t,a[Cm.ATTR_DB_OPERATION_NAME]=o,a[Cm.ATTR_DB_COLLECTION_NAME]=n),r&&i){this._netSemconvStability&jn.SemconvStability.OLD&&(a[hl.ATTR_NET_PEER_NAME]=r),this._netSemconvStability&jn.SemconvStability.STABLE&&(a[Cm.ATTR_SERVER_ADDRESS]=r);let c=parseInt(i,10);isNaN(c)||(this._netSemconvStability&jn.SemconvStability.OLD&&(a[hl.ATTR_NET_PEER_PORT]=c),this._netSemconvStability&jn.SemconvStability.STABLE&&(a[Cm.ATTR_SERVER_PORT]=c))}if(s){let{dbStatementSerializer:c}=this.getConfig(),u=typeof c=="function"?c:this._defaultDbStatementSerializer.bind(this);(0,jn.safeExecuteInTheMiddle)(()=>{let l=u(s);this._dbSemconvStability&jn.SemconvStability.OLD&&(a[hl.ATTR_DB_STATEMENT]=l),this._dbSemconvStability&jn.SemconvStability.STABLE&&(a[Cm.ATTR_DB_QUERY_TEXT]=l)},l=>{l&&this._diag.error("Error running dbStatementSerializer hook",l)},!0)}return a}_spanNameFromAttrs(t){let n;return this._dbSemconvStability&jn.SemconvStability.STABLE?n=[t[Cm.ATTR_DB_OPERATION_NAME],t[Cm.ATTR_DB_COLLECTION_NAME]].filter(r=>r).join(" ")||hl.DB_SYSTEM_NAME_VALUE_MONGODB:n=`mongodb.${t[hl.ATTR_DB_OPERATION]||"command"}`,n}_getDefaultDbStatementReplacer(){let t=new WeakSet;return(n,r)=>typeof r!="object"||!r?"?":t.has(r)?"[Circular]":(t.add(r),r)}_defaultDbStatementSerializer(t){let{enhancedDatabaseReporting:n}=this.getConfig();return n?JSON.stringify(t):JSON.stringify(t,this._getDefaultDbStatementReplacer())}_handleExecutionResult(t,n){let{responseHook:r}=this.getConfig();typeof r=="function"&&(0,jn.safeExecuteInTheMiddle)(()=>{r(t,{data:n})},i=>{i&&this._diag.error("Error running response hook",i)},!0)}_patchEnd(t,n,r,i){let s=Ki.context.active(),o=this,a=!1;return function(...u){if(!a){a=!0;let l=u[0];if(t){if(l instanceof Error)t.setStatus({code:Ki.SpanStatusCode.ERROR,message:l.message});else{let d=u[1];o._handleExecutionResult(t,d)}t.end()}i==="endSessions"&&o._connCountAdd(-1,o._poolName,"idle")}return Ki.context.with(s,()=>n.apply(this,u))}}setPoolName(t){let n=t.hostAddress?.host,r=t.hostAddress?.port,i=t.dbName,s=`mongodb://${n}:${r}/${i}`;this._poolName=s}_checkSkipInstrumentation(t){return this.getConfig().requireParentSpan===!0&&t===void 0}};dz.MongoDBInstrumentation=fte});var Xze=w(oN=>{"use strict";Object.defineProperty(oN,"__esModule",{value:!0});oN.MongodbCommandType=void 0;var QQt;(function(e){e.CREATE_INDEXES="createIndexes",e.FIND_AND_MODIFY="findAndModify",e.IS_MASTER="isMaster",e.COUNT="count",e.UNKNOWN="unknown"})(QQt=oN.MongodbCommandType||(oN.MongodbCommandType={}))});var Qze=w(ZA=>{"use 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Eo=(Ce(),ke(Ze)),u$t=fr(),gte=oGe(),fa=Jt(),cGe=aGe(),rS=hte(),i_=(Pn(),ke(Mr)),pz=["deleteOne","deleteMany","find","findOne","estimatedDocumentCount","countDocuments","distinct","where","$where","findOneAndUpdate","findOneAndDelete","findOneAndReplace"],l$t=["remove","count","findOneAndRemove",...pz],d$t=["count","findOneAndRemove",...pz],f$t=[...pz];function uGe(e){return e?e.startsWith("6.")||e.startsWith("5.")?l$t:e.startsWith("7.")?d$t:f$t:pz}function lGe(e){return e&&(e.startsWith("5.")||e.startsWith("6."))||!1}function dGe(e){return!e||!e.startsWith("8.")?!1:parseInt(e.split(".")[1],10)>=21}gu._STORED_PARENT_SPAN=Symbol("stored-parent-span");gu._ALREADY_INSTRUMENTED=Symbol("already-instrumented");var yte=class extends fa.InstrumentationBase{_netSemconvStability;_dbSemconvStability;constructor(t={}){super(cGe.PACKAGE_NAME,cGe.PACKAGE_VERSION,t),this._setSemconvStabilityFromEnv()}_setSemconvStabilityFromEnv(){this._netSemconvStability=(0,fa.semconvStabilityFromStr)("http",process.env.OTEL_SEMCONV_STABILITY_OPT_IN),this._dbSemconvStability=(0,fa.semconvStabilityFromStr)("database",process.env.OTEL_SEMCONV_STABILITY_OPT_IN)}init(){return new fa.InstrumentationNodeModuleDefinition("mongoose",[">=5.9.7 <10"],this.patch.bind(this),this.unpatch.bind(this))}patch(t,n){let r=t[Symbol.toStringTag]==="Module"?t.default:t;return this._wrap(r.Model.prototype,"save",this.patchOnModelMethods("save",n)),r.Model.prototype.$save=r.Model.prototype.save,lGe(n)&&this._wrap(r.Model.prototype,"remove",this.patchOnModelMethods("remove",n)),dGe(n)&&(this._wrap(r.Model.prototype,"updateOne",this._patchDocumentUpdateMethods("updateOne",n)),this._wrap(r.Model.prototype,"deleteOne",this._patchDocumentUpdateMethods("deleteOne",n))),this._wrap(r.Query.prototype,"exec",this.patchQueryExec(n)),this._wrap(r.Aggregate.prototype,"exec",this.patchAggregateExec(n)),uGe(n).forEach(s=>{this._wrap(r.Query.prototype,s,this.patchAndCaptureSpanContext(s))}),this._wrap(r.Model,"aggregate",this.patchModelAggregate()),this._wrap(r.Model,"insertMany",this.patchModelStatic("insertMany",n)),this._wrap(r.Model,"bulkWrite",this.patchModelStatic("bulkWrite",n)),r}unpatch(t,n){let r=t[Symbol.toStringTag]==="Module"?t.default:t,i=uGe(n);this._unwrap(r.Model.prototype,"save"),r.Model.prototype.$save=r.Model.prototype.save,lGe(n)&&this._unwrap(r.Model.prototype,"remove"),dGe(n)&&(this._unwrap(r.Model.prototype,"updateOne"),this._unwrap(r.Model.prototype,"deleteOne")),this._unwrap(r.Query.prototype,"exec"),this._unwrap(r.Aggregate.prototype,"exec"),i.forEach(s=>{this._unwrap(r.Query.prototype,s)}),this._unwrap(r.Model,"aggregate"),this._unwrap(r.Model,"insertMany"),this._unwrap(r.Model,"bulkWrite")}patchAggregateExec(t){let n=this;return r=>function(s){if(n.getConfig().requireParentSpan&&Eo.trace.getSpan(Eo.context.active())===void 0)return r.apply(this,arguments);let o=this[gu._STORED_PARENT_SPAN],a={},{dbStatementSerializer:c}=n.getConfig();if(c){let l=c("aggregate",{options:this.options,aggregatePipeline:this._pipeline});n._dbSemconvStability&fa.SemconvStability.OLD&&(a[rS.ATTR_DB_STATEMENT]=l),n._dbSemconvStability&fa.SemconvStability.STABLE&&(a[i_.ATTR_DB_QUERY_TEXT]=l)}let u=n._startSpan(this._model.collection,this._model?.modelName,"aggregate",a,o);return n._handleResponse(u,r,this,arguments,s,t)}}patchQueryExec(t){let n=this;return r=>function(s){if(this[gu._ALREADY_INSTRUMENTED])return r.apply(this,arguments);if(n.getConfig().requireParentSpan&&Eo.trace.getSpan(Eo.context.active())===void 0)return r.apply(this,arguments);let o=this[gu._STORED_PARENT_SPAN],a={},{dbStatementSerializer:c}=n.getConfig();if(c){let l=c(this.op,{condition:this.getFilter?.()??this._conditions,updates:this._update,options:this.getOptions?.()??this.options,fields:this._fields});n._dbSemconvStability&fa.SemconvStability.OLD&&(a[rS.ATTR_DB_STATEMENT]=l),n._dbSemconvStability&fa.SemconvStability.STABLE&&(a[i_.ATTR_DB_QUERY_TEXT]=l)}let u=n._startSpan(this.mongooseCollection,this.model.modelName,this.op,a,o);return n._handleResponse(u,r,this,arguments,s,t)}}patchOnModelMethods(t,n){let r=this;return i=>function(o,a){if(r.getConfig().requireParentSpan&&Eo.trace.getSpan(Eo.context.active())===void 0)return i.apply(this,arguments);let c={document:this};o&&!(o instanceof Function)&&(c.options=o);let u={},{dbStatementSerializer:l}=r.getConfig();if(l){let f=l(t,c);r._dbSemconvStability&fa.SemconvStability.OLD&&(u[rS.ATTR_DB_STATEMENT]=f),r._dbSemconvStability&fa.SemconvStability.STABLE&&(u[i_.ATTR_DB_QUERY_TEXT]=f)}let d=r._startSpan(this.constructor.collection,this.constructor.modelName,t,u);return o instanceof Function&&(a=o,o=void 0),r._handleResponse(d,i,this,arguments,a,n)}}_patchDocumentUpdateMethods(t,n){let r=this;return i=>function(o,a,c){if(r.getConfig().requireParentSpan&&Eo.trace.getSpan(Eo.context.active())===void 0)return i.apply(this,arguments);let u=c,l=o,d=a;typeof o=="function"?(u=o,l=void 0,d=void 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p=d(t,u);r._dbSemconvStability&fa.SemconvStability.OLD&&(l[rS.ATTR_DB_STATEMENT]=p),r._dbSemconvStability&fa.SemconvStability.STABLE&&(l[i_.ATTR_DB_QUERY_TEXT]=p)}let f=r._startSpan(this.collection,this.modelName,t,l);return r._handleResponse(f,i,this,arguments,c,n)}}patchModelAggregate(){let t=this;return n=>function(){let i=Eo.trace.getSpan(Eo.context.active()),s=t._callOriginalFunction(()=>n.apply(this,arguments));return s&&(s[gu._STORED_PARENT_SPAN]=i),s}}patchAndCaptureSpanContext(t){let n=this;return r=>function(){return this[gu._STORED_PARENT_SPAN]=Eo.trace.getSpan(Eo.context.active()),n._callOriginalFunction(()=>r.apply(this,arguments))}}_startSpan(t,n,r,i,s){let o={...i,...(0,gte.getAttributesFromCollection)(t,this._dbSemconvStability,this._netSemconvStability)};this._dbSemconvStability&fa.SemconvStability.OLD&&(o[rS.ATTR_DB_OPERATION]=r,o[rS.ATTR_DB_SYSTEM]="mongoose"),this._dbSemconvStability&fa.SemconvStability.STABLE&&(o[i_.ATTR_DB_OPERATION_NAME]=r,o[i_.ATTR_DB_SYSTEM_NAME]=rS.DB_SYSTEM_NAME_VALUE_MONGODB);let a=this._dbSemconvStability&fa.SemconvStability.STABLE?`${r} ${t.name}`:`mongoose.${n}.${r}`;return this.tracer.startSpan(a,{kind:Eo.SpanKind.CLIENT,attributes:o},s?Eo.trace.setSpan(Eo.context.active(),s):void 0)}_handleResponse(t,n,r,i,s,o=void 0){let a=this;if(s instanceof Function)return a._callOriginalFunction(()=>(0,gte.handleCallbackResponse)(s,n,r,t,i,a.getConfig().responseHook,o));{let c=a._callOriginalFunction(()=>n.apply(r,i));return(0,gte.handlePromiseResponse)(c,t,a.getConfig().responseHook,o)}}_callOriginalFunction(t){return this.getConfig().suppressInternalInstrumentation?Eo.context.with((0,u$t.suppressTracing)(Eo.context.active()),t):t()}};gu.MongooseInstrumentation=yte});var pGe=w(hz=>{"use strict";Object.defineProperty(hz,"__esModule",{value:!0});hz.MongooseInstrumentation=void 0;var p$t=fGe();Object.defineProperty(hz,"MongooseInstrumentation",{enumerable:!0,get:function(){return p$t.MongooseInstrumentation}})});var hGe,mGe,gGe,h$t,yGe,SGe=v(()=>{hGe=Re(pGe(),1);sr();mGe="Mongoose",gGe=rt(mGe,()=>new hGe.MongooseInstrumentation({responseHook(e){Dr(e,"auto.db.otel.mongoose")}})),h$t=(()=>({name:mGe,setupOnce(){gGe()}})),yGe=h$t});var bGe=w(Zs=>{"use strict";Object.defineProperty(Zs,"__esModule",{value:!0});Zs.METRIC_DB_CLIENT_CONNECTIONS_USAGE=Zs.DB_SYSTEM_VALUE_MYSQL=Zs.ATTR_NET_PEER_PORT=Zs.ATTR_NET_PEER_NAME=Zs.ATTR_DB_USER=Zs.ATTR_DB_SYSTEM=Zs.ATTR_DB_STATEMENT=Zs.ATTR_DB_NAME=Zs.ATTR_DB_CONNECTION_STRING=void 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COMPONENT="redis";_semconvStability;constructor(t={}){super(r2e.PACKAGE_NAME,r2e.PACKAGE_VERSION,t),this._semconvStability=t.semconvStability?t.semconvStability:(0,pi.semconvStabilityFromStr)("database",process.env.OTEL_SEMCONV_STABILITY_OPT_IN)}setConfig(t={}){super.setConfig(t),this._semconvStability=t.semconvStability?t.semconvStability:(0,pi.semconvStabilityFromStr)("database",process.env.OTEL_SEMCONV_STABILITY_OPT_IN)}init(){return[this._getInstrumentationNodeModuleDefinition("@redis/client"),this._getInstrumentationNodeModuleDefinition("@node-redis/client")]}_getInstrumentationNodeModuleDefinition(t){let n=new pi.InstrumentationNodeModuleFile(`${t}/dist/lib/commander.js`,["^1.0.0"],(s,o)=>{let a=s.transformCommandArguments;if(!a)return this._diag.error("internal instrumentation error, missing transformCommandArguments function"),s;let c=o?.startsWith("1.0.")?"extendWithCommands":"attachCommands";return(0,pi.isWrapped)(s?.[c])&&this._unwrap(s,c),this._wrap(s,c,this._getPatchExtendWithCommands(a)),s},s=>{(0,pi.isWrapped)(s?.extendWithCommands)&&this._unwrap(s,"extendWithCommands"),(0,pi.isWrapped)(s?.attachCommands)&&this._unwrap(s,"attachCommands")}),r=new pi.InstrumentationNodeModuleFile(`${t}/dist/lib/client/multi-command.js`,["^1.0.0","^5.0.0"],s=>{let o=s?.default?.prototype;return(0,pi.isWrapped)(o?.exec)&&this._unwrap(o,"exec"),this._wrap(o,"exec",this._getPatchMultiCommandsExec(!1)),(0,pi.isWrapped)(o?.execAsPipeline)&&this._unwrap(o,"execAsPipeline"),this._wrap(o,"execAsPipeline",this._getPatchMultiCommandsExec(!0)),(0,pi.isWrapped)(o?.addCommand)&&this._unwrap(o,"addCommand"),this._wrap(o,"addCommand",this._getPatchMultiCommandsAddCommand()),s},s=>{let o=s?.default?.prototype;(0,pi.isWrapped)(o?.exec)&&this._unwrap(o,"exec"),(0,pi.isWrapped)(o?.addCommand)&&this._unwrap(o,"addCommand")}),i=new pi.InstrumentationNodeModuleFile(`${t}/dist/lib/client/index.js`,["^1.0.0","^5.0.0"],s=>{let o=s?.default?.prototype;return o?.multi&&((0,pi.isWrapped)(o?.multi)&&this._unwrap(o,"multi"),this._wrap(o,"multi",this._getPatchRedisClientMulti())),o?.MULTI&&((0,pi.isWrapped)(o?.MULTI)&&this._unwrap(o,"MULTI"),this._wrap(o,"MULTI",this._getPatchRedisClientMulti())),(0,pi.isWrapped)(o?.sendCommand)&&this._unwrap(o,"sendCommand"),this._wrap(o,"sendCommand",this._getPatchRedisClientSendCommand()),this._wrap(o,"connect",this._getPatchedClientConnect()),s},s=>{let o=s?.default?.prototype;(0,pi.isWrapped)(o?.multi)&&this._unwrap(o,"multi"),(0,pi.isWrapped)(o?.MULTI)&&this._unwrap(o,"MULTI"),(0,pi.isWrapped)(o?.sendCommand)&&this._unwrap(o,"sendCommand")});return new pi.InstrumentationNodeModuleDefinition(t,["^1.0.0","^5.0.0"],s=>s,()=>{},[n,r,i])}_getPatchExtendWithCommands(t){let n=this;return function(i){return function(o){if(o?.BaseClass?.name!=="RedisClient")return i.apply(this,arguments);let 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function(r){return function(s){return t._traceClientCommand(r,this,arguments,s)}}}_getPatchedClientConnect(){let t=this;return function(r){return function(){let s=this.options,o=(0,n2e.getClientAttributes)(t._diag,s,t._semconvStability),a=t.tracer.startSpan(`${e.COMPONENT}-connect`,{kind:id.SpanKind.CLIENT,attributes:o});return id.context.with(id.trace.setSpan(id.context.active(),a),()=>r.apply(this)).then(u=>(a.end(),u)).catch(u=>(a.recordException(u),a.setStatus({code:id.SpanStatusCode.ERROR,message:u.message}),a.end(),Promise.reject(u)))}}}_traceClientCommand(t,n,r,i){if(id.trace.getSpan(id.context.active())===void 0&&this.getConfig().requireParentSpan)return t.apply(n,r);let o=n.options||n[i2e],a=i[0],c=i.slice(1),u=this.getConfig().dbStatementSerializer||Q$t.defaultDbStatementSerializer,l=(0,n2e.getClientAttributes)(this._diag,o,this._semconvStability);this._semconvStability&pi.SemconvStability.STABLE&&(l[Pte.ATTR_DB_OPERATION_NAME]=a);try{let 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connections that are currently in state described by the state attribute.",unit:"{connection}"}),this._connectionPendingRequests=this.meter.createUpDownCounter(EN.METRIC_DB_CLIENT_CONNECTION_PENDING_REQUESTS,{description:"The number of current pending requests for an open connection.",unit:"{connection}"})}init(){let t=[">=8.0.3 <9"],n=[">=2.0.0 <4"],r=new Uc.InstrumentationNodeModuleFile("pg/lib/native/client.js",t,this._patchPgClient.bind(this),this._unpatchPgClient.bind(this)),i=new Uc.InstrumentationNodeModuleFile("pg/lib/client.js",t,this._patchPgClient.bind(this),this._unpatchPgClient.bind(this)),s=new Uc.InstrumentationNodeModuleDefinition("pg",t,a=>{let c=sw(a);return this._patchPgClient(c.Client),a},a=>{let c=sw(a);return this._unpatchPgClient(c.Client),a},[i,r]),o=new Uc.InstrumentationNodeModuleDefinition("pg-pool",n,a=>{let 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S4e=w(kG=>{"use strict";Object.defineProperty(kG,"__esModule",{value:!0});kG.AmqplibInstrumentation=void 0;var Zi=(Ce(),ke(Ze)),AG=fr(),pr=Jt(),mrn=Nne(),yl=Cne(),Hc=Mne(),hs=m4e(),y4e=g4e(),wG=[">=0.5.5 <1"],Une=class extends pr.InstrumentationBase{_netSemconvStability;constructor(t={}){super(y4e.PACKAGE_NAME,y4e.PACKAGE_VERSION,{...Hc.DEFAULT_CONFIG,...t}),this._setSemconvStabilityFromEnv()}_setSemconvStabilityFromEnv(){this._netSemconvStability=(0,pr.semconvStabilityFromStr)("http",process.env.OTEL_SEMCONV_STABILITY_OPT_IN)}setConfig(t={}){super.setConfig({...Hc.DEFAULT_CONFIG,...t})}init(){let t=new pr.InstrumentationNodeModuleFile("amqplib/lib/channel_model.js",wG,this.patchChannelModel.bind(this),this.unpatchChannelModel.bind(this)),n=new pr.InstrumentationNodeModuleFile("amqplib/lib/callback_model.js",wG,this.patchChannelModel.bind(this),this.unpatchChannelModel.bind(this)),r=new 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t=this.unpatchConnect(t),(0,pr.isWrapped)(t.connect)||this._wrap(t,"connect",this.getConnectPatch.bind(this)),t}unpatchConnect(t){return(0,pr.isWrapped)(t.connect)&&this._unwrap(t,"connect"),t}patchChannelModel(t,n){return(0,pr.isWrapped)(t.Channel.prototype.publish)||this._wrap(t.Channel.prototype,"publish",this.getPublishPatch.bind(this,n)),(0,pr.isWrapped)(t.Channel.prototype.consume)||this._wrap(t.Channel.prototype,"consume",this.getConsumePatch.bind(this,n)),(0,pr.isWrapped)(t.Channel.prototype.ack)||this._wrap(t.Channel.prototype,"ack",this.getAckPatch.bind(this,!1,Hc.EndOperation.Ack)),(0,pr.isWrapped)(t.Channel.prototype.nack)||this._wrap(t.Channel.prototype,"nack",this.getAckPatch.bind(this,!0,Hc.EndOperation.Nack)),(0,pr.isWrapped)(t.Channel.prototype.reject)||this._wrap(t.Channel.prototype,"reject",this.getAckPatch.bind(this,!0,Hc.EndOperation.Reject)),(0,pr.isWrapped)(t.Channel.prototype.ackAll)||this._wrap(t.Channel.prototype,"ackAll",this.getAckAllPatch.bind(this,!1,Hc.EndOperation.AckAll)),(0,pr.isWrapped)(t.Channel.prototype.nackAll)||this._wrap(t.Channel.prototype,"nackAll",this.getAckAllPatch.bind(this,!0,Hc.EndOperation.NackAll)),(0,pr.isWrapped)(t.Channel.prototype.emit)||this._wrap(t.Channel.prototype,"emit",this.getChannelEmitPatch.bind(this)),(0,pr.isWrapped)(t.ConfirmChannel.prototype.publish)||this._wrap(t.ConfirmChannel.prototype,"publish",this.getConfirmedPublishPatch.bind(this,n)),t}unpatchChannelModel(t){return(0,pr.isWrapped)(t.Channel.prototype.publish)&&this._unwrap(t.Channel.prototype,"publish"),(0,pr.isWrapped)(t.Channel.prototype.consume)&&this._unwrap(t.Channel.prototype,"consume"),(0,pr.isWrapped)(t.Channel.prototype.ack)&&this._unwrap(t.Channel.prototype,"ack"),(0,pr.isWrapped)(t.Channel.prototype.nack)&&this._unwrap(t.Channel.prototype,"nack"),(0,pr.isWrapped)(t.Channel.prototype.reject)&&this._unwrap(t.Channel.prototype,"reject"),(0,pr.isWrapped)(t.Channel.prototype.ackAll)&&this._unwrap(t.Channel.prototype,"ackAll"),(0,pr.isWrapped)(t.Channel.prototype.nackAll)&&this._unwrap(t.Channel.prototype,"nackAll"),(0,pr.isWrapped)(t.Channel.prototype.emit)&&this._unwrap(t.Channel.prototype,"emit"),(0,pr.isWrapped)(t.ConfirmChannel.prototype.publish)&&this._unwrap(t.ConfirmChannel.prototype,"publish"),t}getConnectPatch(t){let n=this;return function(i,s,o){return t.call(this,i,s,function(a,c){if(a==null){let u=(0,hs.getConnectionAttributesFromUrl)(i,n._netSemconvStability),l=(0,hs.getConnectionAttributesFromServer)(c);c[hs.CONNECTION_ATTRIBUTES]={...u,...l}}o.apply(this,arguments)})}}getChannelEmitPatch(t){let n=this;return function(i){if(i==="close"){n.endAllSpansOnChannel(this,!0,Hc.EndOperation.ChannelClosed,void 0);let s=this[hs.CHANNEL_CONSUME_TIMEOUT_TIMER];s&&clearInterval(s),this[hs.CHANNEL_CONSUME_TIMEOUT_TIMER]=void 0}else i==="error"&&n.endAllSpansOnChannel(this,!0,Hc.EndOperation.ChannelError,void 0);return t.apply(this,arguments)}}getAckAllPatch(t,n,r){let i=this;return function(o){return i.endAllSpansOnChannel(this,t,n,o),r.apply(this,arguments)}}getAckPatch(t,n,r){let i=this;return function(o,a,c){let u=this,l=n===Hc.EndOperation.Reject?a:c,d=u[hs.CHANNEL_SPANS_NOT_ENDED]??[],f=d.findIndex(p=>p.msg===o);if(f<0)i.endConsumerSpan(o,t,n,l);else if(n!==Hc.EndOperation.Reject&&a){for(let p=0;p<=f;p++)i.endConsumerSpan(d[p].msg,t,n,l);d.splice(0,f+1)}else i.endConsumerSpan(o,t,n,l),d.splice(f,1);return r.apply(this,arguments)}}getConsumePatch(t,n){let r=this;return function(s,o,a){let c=this;if(!Object.prototype.hasOwnProperty.call(c,hs.CHANNEL_SPANS_NOT_ENDED)){let{consumeTimeoutMs:l}=r.getConfig();if(l){let d=setInterval(()=>{r.checkConsumeTimeoutOnChannel(c)},l);d.unref(),c[hs.CHANNEL_CONSUME_TIMEOUT_TIMER]=d}c[hs.CHANNEL_SPANS_NOT_ENDED]=[]}let u=function(l){if(!l)return o.call(this,l);let d=l.properties.headers??{},f=Zi.propagation.extract(Zi.ROOT_CONTEXT,d),p=l.fields?.exchange,h;if(r._config.useLinksForConsume){let b=f?Zi.trace.getSpan(f)?.spanContext():void 0;f=void 0,b&&(h=[{context:b}])}let m=r.tracer.startSpan(`${s} process`,{kind:Zi.SpanKind.CONSUMER,attributes:{...c?.connection?.[hs.CONNECTION_ATTRIBUTES],[yl.ATTR_MESSAGING_DESTINATION]:p,[yl.ATTR_MESSAGING_DESTINATION_KIND]:yl.MESSAGING_DESTINATION_KIND_VALUE_TOPIC,[yl.ATTR_MESSAGING_RABBITMQ_ROUTING_KEY]:l.fields?.routingKey,[mrn.ATTR_MESSAGING_OPERATION]:yl.MESSAGING_OPERATION_VALUE_PROCESS,[yl.OLD_ATTR_MESSAGING_MESSAGE_ID]:l?.properties.messageId,[yl.ATTR_MESSAGING_CONVERSATION_ID]:l?.properties.correlationId},links:h},f),{consumeHook:g}=r.getConfig();g&&(0,pr.safeExecuteInTheMiddle)(()=>g(m,{moduleVersion:t,msg:l}),b=>{b&&Zi.diag.error("amqplib instrumentation: consumerHook error",b)},!0),a?.noAck||(c[hs.CHANNEL_SPANS_NOT_ENDED].push({msg:l,timeOfConsume:(0,AG.hrTime)()}),l[hs.MESSAGE_STORED_SPAN]=m);let y=f||Zi.ROOT_CONTEXT;Zi.context.with(Zi.trace.setSpan(y,m),()=>{o.call(this,l)}),a?.noAck&&(r.callConsumeEndHook(m,l,!1,Hc.EndOperation.AutoAck),m.end())};return arguments[1]=u,n.apply(this,arguments)}}getConfirmedPublishPatch(t,n){let r=this;return function(s,o,a,c,u){let l=this,{span:d,modifiedOptions:f}=r.createPublishSpan(r,s,o,l,c),{publishHook:p}=r.getConfig();p&&(0,pr.safeExecuteInTheMiddle)(()=>p(d,{moduleVersion:t,exchange:s,routingKey:o,content:a,options:f,isConfirmChannel:!0}),y=>{y&&Zi.diag.error("amqplib instrumentation: publishHook error",y)},!0);let h=function(y,b){try{u?.call(this,y,b)}finally{let{publishConfirmHook:S}=r.getConfig();S&&(0,pr.safeExecuteInTheMiddle)(()=>S(d,{moduleVersion:t,exchange:s,routingKey:o,content:a,options:c,isConfirmChannel:!0,confirmError:y}),E=>{E&&Zi.diag.error("amqplib instrumentation: publishConfirmHook error",E)},!0),y&&d.setStatus({code:Zi.SpanStatusCode.ERROR,message:"message confirmation has been nack'ed"}),d.end()}},m=(0,hs.markConfirmChannelTracing)(Zi.context.active()),g=[...arguments];return g[3]=f,g[4]=Zi.context.bind((0,hs.unmarkConfirmChannelTracing)(Zi.trace.setSpan(m,d)),h),Zi.context.with(m,n.bind(this,...g))}}getPublishPatch(t,n){let r=this;return function(s,o,a,c){if((0,hs.isConfirmChannelTracing)(Zi.context.active()))return n.apply(this,arguments);{let u=this,{span:l,modifiedOptions:d}=r.createPublishSpan(r,s,o,u,c),{publishHook:f}=r.getConfig();f&&(0,pr.safeExecuteInTheMiddle)(()=>f(l,{moduleVersion:t,exchange:s,routingKey:o,content:a,options:d,isConfirmChannel:!1}),m=>{m&&Zi.diag.error("amqplib instrumentation: publishHook error",m)},!0);let p=[...arguments];p[3]=d;let h=n.apply(this,p);return l.end(),h}}}createPublishSpan(t,n,r,i,s){let o=(0,hs.normalizeExchange)(n),a=t.tracer.startSpan(`publish ${o}`,{kind:Zi.SpanKind.PRODUCER,attributes:{...i.connection[hs.CONNECTION_ATTRIBUTES],[yl.ATTR_MESSAGING_DESTINATION]:n,[yl.ATTR_MESSAGING_DESTINATION_KIND]:yl.MESSAGING_DESTINATION_KIND_VALUE_TOPIC,[yl.ATTR_MESSAGING_RABBITMQ_ROUTING_KEY]:r,[yl.OLD_ATTR_MESSAGING_MESSAGE_ID]:s?.messageId,[yl.ATTR_MESSAGING_CONVERSATION_ID]:s?.correlationId}}),c=s??{};return 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isEmoji(){return!!this._def.checks.find(t=>t.kind==="emoji")}get isUUID(){return!!this._def.checks.find(t=>t.kind==="uuid")}get isNANOID(){return!!this._def.checks.find(t=>t.kind==="nanoid")}get isCUID(){return!!this._def.checks.find(t=>t.kind==="cuid")}get isCUID2(){return!!this._def.checks.find(t=>t.kind==="cuid2")}get isULID(){return!!this._def.checks.find(t=>t.kind==="ulid")}get isIP(){return!!this._def.checks.find(t=>t.kind==="ip")}get isCIDR(){return!!this._def.checks.find(t=>t.kind==="cidr")}get isBase64(){return!!this._def.checks.find(t=>t.kind==="base64")}get isBase64url(){return!!this._def.checks.find(t=>t.kind==="base64url")}get minLength(){let t=null;for(let n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t}get maxLength(){let t=null;for(let n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t}};RS.create=e=>new RS({checks:[],typeName:Bt.ZodString,coerce:e?.coerce??!1,...un(e)});h_=class e extends mn{constructor(){super(...arguments),this.min=this.gte,this.max=this.lte,this.step=this.multipleOf}_parse(t){if(this._def.coerce&&(t.data=Number(t.data)),this._getType(t)!==Qe.number){let s=this._getOrReturnCtx(t);return We(s,{code:Ie.invalid_type,expected:Qe.number,received:s.parsedType}),Mt}let r,i=new ha;for(let s of this._def.checks)s.kind==="int"?Cn.isInteger(t.data)||(r=this._getOrReturnCtx(t,r),We(r,{code:Ie.invalid_type,expected:"integer",received:"float",message:s.message}),i.dirty()):s.kind==="min"?(s.inclusive?t.data<s.value:t.data<=s.value)&&(r=this._getOrReturnCtx(t,r),We(r,{code:Ie.too_small,minimum:s.value,type:"number",inclusive:s.inclusive,exact:!1,message:s.message}),i.dirty()):s.kind==="max"?(s.inclusive?t.data>s.value:t.data>=s.value)&&(r=this._getOrReturnCtx(t,r),We(r,{code:Ie.too_big,maximum:s.value,type:"number",inclusive:s.inclusive,exact:!1,message:s.message}),i.dirty()):s.kind==="multipleOf"?Fin(t.data,s.value)!==0&&(r=this._getOrReturnCtx(t,r),We(r,{code:Ie.not_multiple_of,multipleOf:s.value,message:s.message}),i.dirty()):s.kind==="finite"?Number.isFinite(t.data)||(r=this._getOrReturnCtx(t,r),We(r,{code:Ie.not_finite,message:s.message}),i.dirty()):Cn.assertNever(s);return{status:i.value,value:t.data}}gte(t,n){return this.setLimit("min",t,!0,ut.toString(n))}gt(t,n){return this.setLimit("min",t,!1,ut.toString(n))}lte(t,n){return this.setLimit("max",t,!0,ut.toString(n))}lt(t,n){return this.setLimit("max",t,!1,ut.toString(n))}setLimit(t,n,r,i){return new e({...this._def,checks:[...this._def.checks,{kind:t,value:n,inclusive:r,message:ut.toString(i)}]})}_addCheck(t){return new e({...this._def,checks:[...this._def.checks,t]})}int(t){return this._addCheck({kind:"int",message:ut.toString(t)})}positive(t){return this._addCheck({kind:"min",value:0,inclusive:!1,message:ut.toString(t)})}negative(t){return this._addCheck({kind:"max",value:0,inclusive:!1,message:ut.toString(t)})}nonpositive(t){return this._addCheck({kind:"max",value:0,inclusive:!0,message:ut.toString(t)})}nonnegative(t){return this._addCheck({kind:"min",value:0,inclusive:!0,message:ut.toString(t)})}multipleOf(t,n){return this._addCheck({kind:"multipleOf",value:t,message:ut.toString(n)})}finite(t){return this._addCheck({kind:"finite",message:ut.toString(t)})}safe(t){return this._addCheck({kind:"min",inclusive:!0,value:Number.MIN_SAFE_INTEGER,message:ut.toString(t)})._addCheck({kind:"max",inclusive:!0,value:Number.MAX_SAFE_INTEGER,message:ut.toString(t)})}get minValue(){let t=null;for(let n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t}get maxValue(){let t=null;for(let n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t}get isInt(){return!!this._def.checks.find(t=>t.kind==="int"||t.kind==="multipleOf"&&Cn.isInteger(t.value))}get isFinite(){let t=null,n=null;for(let r of this._def.checks){if(r.kind==="finite"||r.kind==="int"||r.kind==="multipleOf")return!0;r.kind==="min"?(n===null||r.value>n)&&(n=r.value):r.kind==="max"&&(t===null||r.value<t)&&(t=r.value)}return Number.isFinite(n)&&Number.isFinite(t)}};h_.create=e=>new h_({checks:[],typeName:Bt.ZodNumber,coerce:e?.coerce||!1,...un(e)});m_=class e extends mn{constructor(){super(...arguments),this.min=this.gte,this.max=this.lte}_parse(t){if(this._def.coerce)try{t.data=BigInt(t.data)}catch{return this._getInvalidInput(t)}if(this._getType(t)!==Qe.bigint)return this._getInvalidInput(t);let r,i=new ha;for(let s of this._def.checks)s.kind==="min"?(s.inclusive?t.data<s.value:t.data<=s.value)&&(r=this._getOrReturnCtx(t,r),We(r,{code:Ie.too_small,type:"bigint",minimum:s.value,inclusive:s.inclusive,message:s.message}),i.dirty()):s.kind==="max"?(s.inclusive?t.data>s.value:t.data>=s.value)&&(r=this._getOrReturnCtx(t,r),We(r,{code:Ie.too_big,type:"bigint",maximum:s.value,inclusive:s.inclusive,message:s.message}),i.dirty()):s.kind==="multipleOf"?t.data%s.value!==BigInt(0)&&(r=this._getOrReturnCtx(t,r),We(r,{code:Ie.not_multiple_of,multipleOf:s.value,message:s.message}),i.dirty()):Cn.assertNever(s);return{status:i.value,value:t.data}}_getInvalidInput(t){let n=this._getOrReturnCtx(t);return We(n,{code:Ie.invalid_type,expected:Qe.bigint,received:n.parsedType}),Mt}gte(t,n){return this.setLimit("min",t,!0,ut.toString(n))}gt(t,n){return this.setLimit("min",t,!1,ut.toString(n))}lte(t,n){return this.setLimit("max",t,!0,ut.toString(n))}lt(t,n){return this.setLimit("max",t,!1,ut.toString(n))}setLimit(t,n,r,i){return new e({...this._def,checks:[...this._def.checks,{kind:t,value:n,inclusive:r,message:ut.toString(i)}]})}_addCheck(t){return new e({...this._def,checks:[...this._def.checks,t]})}positive(t){return this._addCheck({kind:"min",value:BigInt(0),inclusive:!1,message:ut.toString(t)})}negative(t){return this._addCheck({kind:"max",value:BigInt(0),inclusive:!1,message:ut.toString(t)})}nonpositive(t){return this._addCheck({kind:"max",value:BigInt(0),inclusive:!0,message:ut.toString(t)})}nonnegative(t){return this._addCheck({kind:"min",value:BigInt(0),inclusive:!0,message:ut.toString(t)})}multipleOf(t,n){return this._addCheck({kind:"multipleOf",value:t,message:ut.toString(n)})}get minValue(){let t=null;for(let n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t}get maxValue(){let t=null;for(let n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t}};m_.create=e=>new m_({checks:[],typeName:Bt.ZodBigInt,coerce:e?.coerce??!1,...un(e)});g_=class extends mn{_parse(t){if(this._def.coerce&&(t.data=!!t.data),this._getType(t)!==Qe.boolean){let r=this._getOrReturnCtx(t);return We(r,{code:Ie.invalid_type,expected:Qe.boolean,received:r.parsedType}),Mt}return nc(t.data)}};g_.create=e=>new g_({typeName:Bt.ZodBoolean,coerce:e?.coerce||!1,...un(e)});y_=class e extends mn{_parse(t){if(this._def.coerce&&(t.data=new Date(t.data)),this._getType(t)!==Qe.date){let s=this._getOrReturnCtx(t);return We(s,{code:Ie.invalid_type,expected:Qe.date,received:s.parsedType}),Mt}if(Number.isNaN(t.data.getTime())){let s=this._getOrReturnCtx(t);return We(s,{code:Ie.invalid_date}),Mt}let r=new ha,i;for(let s of this._def.checks)s.kind==="min"?t.data.getTime()<s.value&&(i=this._getOrReturnCtx(t,i),We(i,{code:Ie.too_small,message:s.message,inclusive:!0,exact:!1,minimum:s.value,type:"date"}),r.dirty()):s.kind==="max"?t.data.getTime()>s.value&&(i=this._getOrReturnCtx(t,i),We(i,{code:Ie.too_big,message:s.message,inclusive:!0,exact:!1,maximum:s.value,type:"date"}),r.dirty()):Cn.assertNever(s);return{status:r.value,value:new Date(t.data.getTime())}}_addCheck(t){return new e({...this._def,checks:[...this._def.checks,t]})}min(t,n){return this._addCheck({kind:"min",value:t.getTime(),message:ut.toString(n)})}max(t,n){return this._addCheck({kind:"max",value:t.getTime(),message:ut.toString(n)})}get minDate(){let t=null;for(let n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t!=null?new Date(t):null}get maxDate(){let t=null;for(let n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t!=null?new Date(t):null}};y_.create=e=>new y_({checks:[],coerce:e?.coerce||!1,typeName:Bt.ZodDate,...un(e)});Mw=class extends mn{_parse(t){if(this._getType(t)!==Qe.symbol){let r=this._getOrReturnCtx(t);return We(r,{code:Ie.invalid_type,expected:Qe.symbol,received:r.parsedType}),Mt}return nc(t.data)}};Mw.create=e=>new Mw({typeName:Bt.ZodSymbol,...un(e)});S_=class extends mn{_parse(t){if(this._getType(t)!==Qe.undefined){let r=this._getOrReturnCtx(t);return We(r,{code:Ie.invalid_type,expected:Qe.undefined,received:r.parsedType}),Mt}return nc(t.data)}};S_.create=e=>new S_({typeName:Bt.ZodUndefined,...un(e)});b_=class extends mn{_parse(t){if(this._getType(t)!==Qe.null){let r=this._getOrReturnCtx(t);return We(r,{code:Ie.invalid_type,expected:Qe.null,received:r.parsedType}),Mt}return nc(t.data)}};b_.create=e=>new b_({typeName:Bt.ZodNull,...un(e)});AS=class extends mn{constructor(){super(...arguments),this._any=!0}_parse(t){return nc(t.data)}};AS.create=e=>new AS({typeName:Bt.ZodAny,...un(e)});Hm=class extends mn{constructor(){super(...arguments),this._unknown=!0}_parse(t){return nc(t.data)}};Hm.create=e=>new Hm({typeName:Bt.ZodUnknown,...un(e)});Tf=class extends mn{_parse(t){let n=this._getOrReturnCtx(t);return We(n,{code:Ie.invalid_type,expected:Qe.never,received:n.parsedType}),Mt}};Tf.create=e=>new Tf({typeName:Bt.ZodNever,...un(e)});Dw=class extends mn{_parse(t){if(this._getType(t)!==Qe.undefined){let r=this._getOrReturnCtx(t);return We(r,{code:Ie.invalid_type,expected:Qe.void,received:r.parsedType}),Mt}return nc(t.data)}};Dw.create=e=>new Dw({typeName:Bt.ZodVoid,...un(e)});qm=class e extends mn{_parse(t){let{ctx:n,status:r}=this._processInputParams(t),i=this._def;if(n.parsedType!==Qe.array)return We(n,{code:Ie.invalid_type,expected:Qe.array,received:n.parsedType}),Mt;if(i.exactLength!==null){let o=n.data.length>i.exactLength.value,a=n.data.length<i.exactLength.value;(o||a)&&(We(n,{code:o?Ie.too_big:Ie.too_small,minimum:a?i.exactLength.value:void 0,maximum:o?i.exactLength.value:void 0,type:"array",inclusive:!0,exact:!0,message:i.exactLength.message}),r.dirty())}if(i.minLength!==null&&n.data.length<i.minLength.value&&(We(n,{code:Ie.too_small,minimum:i.minLength.value,type:"array",inclusive:!0,exact:!1,message:i.minLength.message}),r.dirty()),i.maxLength!==null&&n.data.length>i.maxLength.value&&(We(n,{code:Ie.too_big,maximum:i.maxLength.value,type:"array",inclusive:!0,exact:!1,message:i.maxLength.message}),r.dirty()),n.common.async)return Promise.all([...n.data].map((o,a)=>i.type._parseAsync(new ld(n,o,n.path,a)))).then(o=>ha.mergeArray(r,o));let s=[...n.data].map((o,a)=>i.type._parseSync(new ld(n,o,n.path,a)));return ha.mergeArray(r,s)}get element(){return this._def.type}min(t,n){return new e({...this._def,minLength:{value:t,message:ut.toString(n)}})}max(t,n){return new e({...this._def,maxLength:{value:t,message:ut.toString(n)}})}length(t,n){return new e({...this._def,exactLength:{value:t,message:ut.toString(n)}})}nonempty(t){return this.min(1,t)}};qm.create=(e,t)=>new qm({type:e,minLength:null,maxLength:null,exactLength:null,typeName:Bt.ZodArray,...un(t)});_u=class e extends mn{constructor(){super(...arguments),this._cached=null,this.nonstrict=this.passthrough,this.augment=this.extend}_getCached(){if(this._cached!==null)return this._cached;let t=this._def.shape(),n=Cn.objectKeys(t);return this._cached={shape:t,keys:n},this._cached}_parse(t){if(this._getType(t)!==Qe.object){let u=this._getOrReturnCtx(t);return We(u,{code:Ie.invalid_type,expected:Qe.object,received:u.parsedType}),Mt}let{status:r,ctx:i}=this._processInputParams(t),{shape:s,keys:o}=this._getCached(),a=[];if(!(this._def.catchall instanceof Tf&&this._def.unknownKeys==="strip"))for(let u in i.data)o.includes(u)||a.push(u);let c=[];for(let u of o){let l=s[u],d=i.data[u];c.push({key:{status:"valid",value:u},value:l._parse(new ld(i,d,i.path,u)),alwaysSet:u in i.data})}if(this._def.catchall instanceof Tf){let u=this._def.unknownKeys;if(u==="passthrough")for(let l of a)c.push({key:{status:"valid",value:l},value:{status:"valid",value:i.data[l]}});else if(u==="strict")a.length>0&&(We(i,{code:Ie.unrecognized_keys,keys:a}),r.dirty());else if(u!=="strip")throw new Error("Internal ZodObject error: invalid unknownKeys value.")}else{let u=this._def.catchall;for(let l of a){let d=i.data[l];c.push({key:{status:"valid",value:l},value:u._parse(new ld(i,d,i.path,l)),alwaysSet:l in i.data})}}return i.common.async?Promise.resolve().then(async()=>{let u=[];for(let l of c){let d=await l.key,f=await l.value;u.push({key:d,value:f,alwaysSet:l.alwaysSet})}return u}).then(u=>ha.mergeObjectSync(r,u)):ha.mergeObjectSync(r,c)}get shape(){return this._def.shape()}strict(t){return ut.errToObj,new e({...this._def,unknownKeys:"strict",...t!==void 0?{errorMap:(n,r)=>{let i=this._def.errorMap?.(n,r).message??r.defaultError;return n.code==="unrecognized_keys"?{message:ut.errToObj(t).message??i}:{message:i}}}:{}})}strip(){return new e({...this._def,unknownKeys:"strip"})}passthrough(){return new e({...this._def,unknownKeys:"passthrough"})}extend(t){return new e({...this._def,shape:()=>({...this._def.shape(),...t})})}merge(t){return new e({unknownKeys:t._def.unknownKeys,catchall:t._def.catchall,shape:()=>({...this._def.shape(),...t._def.shape()}),typeName:Bt.ZodObject})}setKey(t,n){return this.augment({[t]:n})}catchall(t){return new e({...this._def,catchall:t})}pick(t){let n={};for(let r of Cn.objectKeys(t))t[r]&&this.shape[r]&&(n[r]=this.shape[r]);return new e({...this._def,shape:()=>n})}omit(t){let n={};for(let r of Cn.objectKeys(this.shape))t[r]||(n[r]=this.shape[r]);return new e({...this._def,shape:()=>n})}deepPartial(){return Cw(this)}partial(t){let n={};for(let r of Cn.objectKeys(this.shape)){let i=this.shape[r];t&&!t[r]?n[r]=i:n[r]=i.optional()}return new e({...this._def,shape:()=>n})}required(t){let n={};for(let r of Cn.objectKeys(this.shape))if(t&&!t[r])n[r]=this.shape[r];else{let s=this.shape[r];for(;s instanceof ud;)s=s._def.innerType;n[r]=s}return new e({...this._def,shape:()=>n})}keyof(){return GKe(Cn.objectKeys(this.shape))}};_u.create=(e,t)=>new _u({shape:()=>e,unknownKeys:"strip",catchall:Tf.create(),typeName:Bt.ZodObject,...un(t)});_u.strictCreate=(e,t)=>new _u({shape:()=>e,unknownKeys:"strict",catchall:Tf.create(),typeName:Bt.ZodObject,...un(t)});_u.lazycreate=(e,t)=>new _u({shape:e,unknownKeys:"strip",catchall:Tf.create(),typeName:Bt.ZodObject,...un(t)});E_=class extends mn{_parse(t){let{ctx:n}=this._processInputParams(t),r=this._def.options;function i(s){for(let a of s)if(a.result.status==="valid")return a.result;for(let a of s)if(a.result.status==="dirty")return n.common.issues.push(...a.ctx.common.issues),a.result;let o=s.map(a=>new Eu(a.ctx.common.issues));return We(n,{code:Ie.invalid_union,unionErrors:o}),Mt}if(n.common.async)return Promise.all(r.map(async s=>{let o={...n,common:{...n.common,issues:[]},parent:null};return{result:await s._parseAsync({data:n.data,path:n.path,parent:o}),ctx:o}})).then(i);{let s,o=[];for(let c of r){let u={...n,common:{...n.common,issues:[]},parent:null},l=c._parseSync({data:n.data,path:n.path,parent:u});if(l.status==="valid")return l;l.status==="dirty"&&!s&&(s={result:l,ctx:u}),u.common.issues.length&&o.push(u.common.issues)}if(s)return n.common.issues.push(...s.ctx.common.issues),s.result;let a=o.map(c=>new Eu(c));return We(n,{code:Ie.invalid_union,unionErrors:a}),Mt}}get options(){return this._def.options}};E_.create=(e,t)=>new E_({options:e,typeName:Bt.ZodUnion,...un(t)});jm=e=>e instanceof T_?jm(e.schema):e instanceof dd?jm(e.innerType()):e instanceof v_?[e.value]:e instanceof R_?e.options:e instanceof A_?Cn.objectValues(e.enum):e instanceof w_?jm(e._def.innerType):e instanceof S_?[void 0]:e instanceof b_?[null]:e instanceof ud?[void 0,...jm(e.unwrap())]:e instanceof uh?[null,...jm(e.unwrap())]:e instanceof 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             }
           } else {
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               }))
             );
           }
         } else if (${S}.value === undefined) {
-          if (${b} in input) newResult[${b}] = undefined;
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         } else {
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         }
-        `)}else{let S=m[E];f.write(`const ${S} = ${h(E)};`),f.write(`
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string"}),_Ye=EYe.extend({blob:Wre}),rC=Eu(["user","assistant"]),Vw=$e({audience:Vn(rC).optional(),priority:Tr().min(0).max(1).optional(),lastModified:ZP.datetime({offset:!0}).optional()}),TYe=$e({...Gw.shape,...QP.shape,uri:ce(),description:Ui(ce()),mimeType:Ui(ce()),size:Ui(Tr()),annotations:Vw.optional(),_meta:Ui(qc({}))}),Qon=$e({...Gw.shape,...QP.shape,uriTemplate:ce(),description:Ui(ce()),mimeType:Ui(ce()),annotations:Vw.optional(),_meta:Ui(qc({}))}),$on=$P.extend({method:ft("resources/list")}),ean=eC.extend({resources:Vn(TYe)}),tan=$P.extend({method:ft("resources/templates/list")}),nan=eC.extend({resourceTemplates:Vn(Qon)}),Kre=ml.extend({uri:ce()}),ran=Kre,ian=ha.extend({method:ft("resources/read"),params:ran}),san=ma.extend({contents:Vn(mi([bYe,_Ye]))}),oan=fd.extend({method:ft("notifications/resources/list_changed"),params:dd.optional()}),aan=Kre,can=ha.extend({method:ft("resources/subscribe"),params:aan}),uan=Kre,lan=ha.extend({method:ft("resources/unsubscribe"),params:uan}),dan=dd.extend({uri:ce()}),fan=fd.extend({method:ft("notifications/resources/updated"),params:dan}),pan=$e({name:ce(),description:Ui(ce()),required:Ui(Vo())}),han=$e({...Gw.shape,...QP.shape,description:Ui(ce()),arguments:Ui(Vn(pan)),_meta:Ui(qc({}))}),Zre=$P.extend({method:ft("prompts/list")}),man=eC.extend({prompts:Vn(han)}),gan=ml.extend({name:ce(),arguments:ii(ce(),ce()).optional()}),Yre=ha.extend({method:ft("prompts/get"),params:gan}),Jre=$e({type:ft("text"),text:ce(),annotations:Vw.optional(),_meta:ii(ce(),Li()).optional()}),Xre=$e({type:ft("image"),data:Wre,mimeType:ce(),annotations:Vw.optional(),_meta:ii(ce(),Li()).optional()}),Qre=$e({type:ft("audio"),data:Wre,mimeType:ce(),annotations:Vw.optional(),_meta:ii(ce(),Li()).optional()}),yan=$e({type:ft("tool_use"),name:ce(),id:ce(),input:ii(ce(),Li()),_meta:ii(ce(),Li()).optional()}),San=$e({type:ft("resource"),resource:mi([bYe,_Ye]),annotations:Vw.optional(),_meta:ii(ce(),Li()).optional()}),Ean=TYe.extend({type:ft("resource_link")}),$re=mi([Jre,Xre,Qre,Ean,San]),ban=$e({role:rC,content:$re}),_an=ma.extend({description:ce().optional(),messages:Vn(ban)}),Tan=fd.extend({method:ft("notifications/prompts/list_changed"),params:dd.optional()}),van=$e({title:ce().optional(),readOnlyHint:Vo().optional(),destructiveHint:Vo().optional(),idempotentHint:Vo().optional(),openWorldHint:Vo().optional()}),Aan=$e({taskSupport:Eu(["required","optional","forbidden"]).optional()}),vYe=$e({...Gw.shape,...QP.shape,description:ce().optional(),inputSchema:$e({type:ft("object"),properties:ii(ce(),bo).optional(),required:Vn(ce()).optional()}).catchall(Li()),outputSchema:$e({type:ft("object"),properties:ii(ce(),bo).optional(),required:Vn(ce()).optional()}).catchall(Li()).optional(),annotations:van.optional(),execution:Aan.optional(),_meta:ii(ce(),Li()).optional()}),eie=$P.extend({method:ft("tools/list")}),Ran=eC.extend({tools:Vn(vYe)}),SV=ma.extend({content:Vn($re).default([]),structuredContent:ii(ce(),Li()).optional(),isError:Vo().optional()}),Fqr=SV.or(ma.extend({toolResult:Li()})),wan=JP.extend({name:ce(),arguments:ii(ce(),Li()).optional()}),iC=ha.extend({method:ft("tools/call"),params:wan}),kan=fd.extend({method:ft("notifications/tools/list_changed"),params:dd.optional()}),jqr=$e({autoRefresh:Vo().default(!0),debounceMs:Tr().int().nonnegative().default(300)}),sC=Eu(["debug","info","notice","warning","error","critical","alert","emergency"]),Ian=ml.extend({level:sC}),tie=ha.extend({method:ft("logging/setLevel"),params:Ian}),xan=dd.extend({level:sC,logger:ce().optional(),data:Li()}),Oan=fd.extend({method:ft("notifications/message"),params:xan}),Nan=$e({name:ce().optional()}),Pan=$e({hints:Vn(Nan).optional(),costPriority:Tr().min(0).max(1).optional(),speedPriority:Tr().min(0).max(1).optional(),intelligencePriority:Tr().min(0).max(1).optional()}),Can=$e({mode:Eu(["auto","required","none"]).optional()}),Man=$e({type:ft("tool_result"),toolUseId:ce().describe("The unique identifier for the corresponding tool call."),content:Vn($re).default([]),structuredContent:$e({}).loose().optional(),isError:Vo().optional(),_meta:ii(ce(),Li()).optional()}),Dan=Lre("type",[Jre,Xre,Qre]),sV=Lre("type",[Jre,Xre,Qre,yan,Man]),Lan=$e({role:rC,content:mi([sV,Vn(sV)]),_meta:ii(ce(),Li()).optional()}),Uan=JP.extend({messages:Vn(Lan),modelPreferences:Pan.optional(),systemPrompt:ce().optional(),includeContext:Eu(["none","thisServer","allServers"]).optional(),temperature:Tr().optional(),maxTokens:Tr().int(),stopSequences:Vn(ce()).optional(),metadata:bo.optional(),tools:Vn(vYe).optional(),toolChoice:Can.optional()}),Fan=ha.extend({method:ft("sampling/createMessage"),params:Uan}),oC=ma.extend({model:ce(),stopReason:Ui(Eu(["endTurn","stopSequence","maxTokens"]).or(ce())),role:rC,content:Dan}),nie=ma.extend({model:ce(),stopReason:Ui(Eu(["endTurn","stopSequence","maxTokens","toolUse"]).or(ce())),role:rC,content:mi([sV,Vn(sV)])}),jan=$e({type:ft("boolean"),title:ce().optional(),description:ce().optional(),default:Vo().optional()}),Han=$e({type:ft("string"),title:ce().optional(),description:ce().optional(),minLength:Tr().optional(),maxLength:Tr().optional(),format:Eu(["email","uri","date","date-time"]).optional(),default:ce().optional()}),qan=$e({type:Eu(["number","integer"]),title:ce().optional(),description:ce().optional(),minimum:Tr().optional(),maximum:Tr().optional(),default:Tr().optional()}),Ban=$e({type:ft("string"),title:ce().optional(),description:ce().optional(),enum:Vn(ce()),default:ce().optional()}),Gan=$e({type:ft("string"),title:ce().optional(),description:ce().optional(),oneOf:Vn($e({const:ce(),title:ce()})),default:ce().optional()}),zan=$e({type:ft("string"),title:ce().optional(),description:ce().optional(),enum:Vn(ce()),enumNames:Vn(ce()).optional(),default:ce().optional()}),Van=mi([Ban,Gan]),Wan=$e({type:ft("array"),title:ce().optional(),description:ce().optional(),minItems:Tr().optional(),maxItems:Tr().optional(),items:$e({type:ft("string"),enum:Vn(ce())}),default:Vn(ce()).optional()}),Kan=$e({type:ft("array"),title:ce().optional(),description:ce().optional(),minItems:Tr().optional(),maxItems:Tr().optional(),items:$e({anyOf:Vn($e({const:ce(),title:ce()}))}),default:Vn(ce()).optional()}),Zan=mi([Wan,Kan]),Yan=mi([zan,Van,Zan]),Jan=mi([Yan,jan,Han,qan]),Xan=JP.extend({mode:ft("form").optional(),message:ce(),requestedSchema:$e({type:ft("object"),properties:ii(ce(),Jan),required:Vn(ce()).optional()})}),Qan=JP.extend({mode:ft("url"),message:ce(),elicitationId:ce(),url:ce().url()}),$an=mi([Xan,Qan]),ecn=ha.extend({method:ft("elicitation/create"),params:$an}),tcn=dd.extend({elicitationId:ce()}),ncn=fd.extend({method:ft("notifications/elicitation/complete"),params:tcn}),Ww=ma.extend({action:Eu(["accept","decline","cancel"]),content:Ure(e=>e===null?void 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r=M9e(n);if(typeof r!="string")throw new Error("Schema method literal must be a string");return r}function Die(e,t){let n=wS(e,t);if(!n.success)throw n.error;return n.data}var kYe=v(()=>{nV();Cie()});function IYe(e){return e!==null&&typeof e=="object"&&!Array.isArray(e)}function xYe(e,t){let n={...e};for(let r in t){let i=r,s=t[i];if(s===void 0)continue;let o=n[i];IYe(o)&&IYe(s)?n[i]={...o,...s}:n[i]=s}return n}var hcn,RV,OYe=v(()=>{nV();O_();AYe();kYe();hcn=6e4,RV=class{constructor(t){this._options=t,this._requestMessageId=0,this._requestHandlers=new Map,this._requestHandlerAbortControllers=new Map,this._notificationHandlers=new Map,this._responseHandlers=new Map,this._progressHandlers=new Map,this._timeoutInfo=new Map,this._pendingDebouncedNotifications=new Set,this._taskProgressTokens=new Map,this._requestResolvers=new 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0,c=this._taskStore?this.requestTaskStore(t,i?.sessionId):void 0,u={signal:o.signal,sessionId:i?.sessionId,_meta:t.params?._meta,sendNotification:async l=>{if(o.signal.aborted)return;let d={relatedRequestId:t.id};s&&(d.relatedTask={taskId:s}),await this.notification(l,d)},sendRequest:async(l,d,f)=>{if(o.signal.aborted)throw new rn(yn.ConnectionClosed,"Request was cancelled");let p={...f,relatedRequestId:t.id};s&&!p.relatedTask&&(p.relatedTask={taskId:s});let h=p.relatedTask?.taskId??s;return h&&c&&await c.updateTaskStatus(h,"input_required"),await this.request(l,d,p)},authInfo:n?.authInfo,requestId:t.id,requestInfo:n?.requestInfo,taskId:s,taskStore:c,taskRequestedTtl:a?.ttl,closeSSEStream:n?.closeSSEStream,closeStandaloneSSEStream:n?.closeStandaloneSSEStream};Promise.resolve().then(()=>{a&&this.assertTaskHandlerCapability(t.method)}).then(()=>r(t,u)).then(async l=>{if(o.signal.aborted)return;let d={result:l,jsonrpc:"2.0",id:t.id};s&&this._taskMessageQueue?await 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FV=class{constructor(t,n,r){if((0,bC.validateKeywordUsage)(t,n,r),this.gen=t.gen,this.allErrors=t.allErrors,this.keyword=r,this.data=t.data,this.schema=t.schema[r],this.$data=n.$data&&t.opts.$data&&this.schema&&this.schema.$data,this.schemaValue=(0,Wm.schemaRefOrVal)(t,this.schema,r,this.$data),this.schemaType=n.schemaType,this.parentSchema=t.schema,this.params={},this.it=t,this.def=n,this.$data)this.schemaCode=t.gen.const("vSchema",w5e(this.$data,t));else if(this.schemaCode=this.schemaValue,!(0,bC.validSchemaType)(this.schema,n.schemaType,n.allowUndefined))throw new Error(`${r} value must be ${JSON.stringify(n.schemaType)}`);("code"in n?n.trackErrors:n.errors!==!1)&&(this.errsCount=t.gen.const("_errs",Jt.default.errors))}result(t,n,r){this.failResult((0,pt.not)(t),n,r)}failResult(t,n,r){this.gen.if(t),r?r():this.error(),n?(this.gen.else(),n(),this.allErrors&&this.gen.endIf()):this.allErrors?this.gen.endIf():this.gen.else()}pass(t,n){this.failResult((0,pt.not)(t),void 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X2=class{constructor(t,n,r){if((0,kC.validateKeywordUsage)(t,n,r),this.gen=t.gen,this.allErrors=t.allErrors,this.keyword=r,this.data=t.data,this.schema=t.schema[r],this.$data=n.$data&&t.opts.$data&&this.schema&&this.schema.$data,this.schemaValue=(0,Km.schemaRefOrVal)(t,this.schema,r,this.$data),this.schemaType=n.schemaType,this.parentSchema=t.schema,this.params={},this.it=t,this.def=n,this.$data)this.schemaCode=t.gen.const("vSchema",F6e(this.$data,t));else if(this.schemaCode=this.schemaValue,!(0,kC.validSchemaType)(this.schema,n.schemaType,n.allowUndefined))throw new Error(`${r} value must be ${JSON.stringify(n.schemaType)}`);("code"in n?n.trackErrors:n.errors!==!1)&&(this.errsCount=t.gen.const("_errs",Xt.default.errors))}result(t,n,r){this.failResult((0,pt.not)(t),n,r)}failResult(t,n,r){this.gen.if(t),r?r():this.error(),n?(this.gen.else(),n(),this.allErrors&&this.gen.endIf()):this.allErrors?this.gen.endIf():this.gen.else()}pass(t,n){this.failResult((0,pt.not)(t),void 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=== undefined`,n)),t!==pt.nil&&r.assign(t,!0),(s.length||o.validateSchema)&&(r.elseIf(this.invalid$data()),this.$dataError(),t!==pt.nil&&r.assign(t,!1)),r.else()}invalid$data(){let{gen:t,schemaCode:n,schemaType:r,def:i,it:s}=this;return(0,pt.or)(o(),a());function o(){if(r.length){if(!(n instanceof pt.Name))throw new Error("ajv implementation error");let c=Array.isArray(r)?r:[r];return(0,pt._)`${(0,J2.checkDataTypes)(c,n,s.opts.strictNumbers,J2.DataType.Wrong)}`}return pt.nil}function a(){if(i.validateSchema){let c=t.scopeValue("validate$data",{ref:i.validateSchema});return(0,pt._)`!${c}(${n})`}return pt.nil}}subschema(t,n){let r=(0,Rse.getSubschema)(this.it,t);(0,Rse.extendSubschemaData)(r,this.it,t),(0,Rse.extendSubschemaMode)(r,t);let i={...this.it,...r,items:void 0,props:void 0};return bln(i,n),i}mergeEvaluated(t,n){let{it:r,gen:i}=this;r.opts.unevaluated&&(r.props!==!0&&t.props!==void 0&&(r.props=Km.mergeEvaluated.props(i,t.props,r.props,n)),r.items!==!0&&t.items!==void 0&&(r.items=Km.mergeEvaluated.items(i,t.items,r.items,n)))}mergeValidEvaluated(t,n){let{it:r,gen:i}=this;if(r.opts.unevaluated&&(r.props!==!0||r.items!==!0))return i.if(n,()=>this.mergeEvaluated(t,pt.Name)),!0}};US.KeywordCxt=X2;function U6e(e,t,n,r){let i=new X2(e,n,t);"code"in n?n.code(i,r):i.$data&&n.validate?(0,kC.funcKeywordCode)(i,n):"macro"in n?(0,kC.macroKeywordCode)(i,n):(n.compile||n.validate)&&(0,kC.funcKeywordCode)(i,n)}var Cln=/^\/(?:[^~]|~0|~1)*$/,Mln=/^([0-9]+)(#|\/(?:[^~]|~0|~1)*)?$/;function F6e(e,{dataLevel:t,dataNames:n,dataPathArr:r}){let i,s;if(e==="")return Xt.default.rootData;if(e[0]==="/"){if(!Cln.test(e))throw new Error(`Invalid JSON-pointer: ${e}`);i=e,s=Xt.default.rootData}else{let u=Mln.exec(e);if(!u)throw new Error(`Invalid JSON-pointer: ${e}`);let l=+u[1];if(i=u[2],i==="#"){if(l>=t)throw new Error(c("property/index",l));return r[t-l]}if(l>t)throw new Error(c("data",l));if(s=n[t-l],!i)return s}let o=s,a=i.split("/");for(let u of a)u&&(s=(0,pt._)`${s}${(0,pt.getProperty)((0,Km.unescapeJsonPointer)(u))}`,o=(0,pt._)`${o} && ${s}`);return o;function c(u,l){return`Cannot access ${u} ${l} levels up, current level is ${t}`}}US.getData=F6e});var IC=w(Ise=>{"use strict";Object.defineProperty(Ise,"__esModule",{value:!0});var kse=class extends Error{constructor(t){super("validation failed"),this.errors=t,this.ajv=this.validation=!0}};Ise.default=kse});var Ym=w(Pse=>{"use strict";Object.defineProperty(Pse,"__esModule",{value:!0});var xse=AC(),Ose=class extends Error{constructor(t,n,r,i){super(i||`can't resolve reference ${r} from id ${n}`),this.missingRef=(0,xse.resolveUrl)(t,n,r),this.missingSchema=(0,xse.normalizeId)((0,xse.getFullPath)(t,this.missingRef))}};Pse.default=Ose});var H_=w(bd=>{"use strict";Object.defineProperty(bd,"__esModule",{value:!0});bd.resolveSchema=bd.getCompilingSchema=bd.resolveRef=bd.compileSchema=bd.SchemaEnv=void 0;var Af=Ot(),Dln=IC(),j_=Sd(),wf=AC(),j6e=pn(),Lln=rk(),ik=class{constructor(t){var n;this.refs={},this.dynamicAnchors={};let r;typeof t.schema=="object"&&(r=t.schema),this.schema=t.schema,this.schemaId=t.schemaId,this.root=t.root||this,this.baseId=(n=t.baseId)!==null&&n!==void 0?n:(0,wf.normalizeId)(r?.[t.schemaId||"$id"]),this.schemaPath=t.schemaPath,this.localRefs=t.localRefs,this.meta=t.meta,this.$async=r?.$async,this.refs={}}};bd.SchemaEnv=ik;function Cse(e){let t=H6e.call(this,e);if(t)return t;let n=(0,wf.getFullPath)(this.opts.uriResolver,e.root.baseId),{es5:r,lines:i}=this.opts.code,{ownProperties:s}=this.opts,o=new Af.CodeGen(this.scope,{es5:r,lines:i,ownProperties:s}),a;e.$async&&(a=o.scopeValue("Error",{ref:Dln.default,code:(0,Af._)`require("ajv/dist/runtime/validation_error").default`}));let c=o.scopeName("validate");e.validateName=c;let u={gen:o,allErrors:this.opts.allErrors,data:j_.default.data,parentData:j_.default.parentData,parentDataProperty:j_.default.parentDataProperty,dataNames:[j_.default.data],dataPathArr:[Af.nil],dataLevel:0,dataTypes:[],definedProperties:new Set,topSchemaRef:o.scopeValue("schema",this.opts.code.source===!0?{ref:e.schema,code:(0,Af.stringify)(e.schema)}:{ref:e.schema}),validateName:c,ValidationError:a,schema:e.schema,schemaEnv:e,rootId:n,baseId:e.baseId||n,schemaPath:Af.nil,errSchemaPath:e.schemaPath||(this.opts.jtd?"":"#"),errorPath:(0,Af._)`""`,opts:this.opts,self:this},l;try{this._compilations.add(e),(0,Lln.validateFunctionCode)(u),o.optimize(this.opts.code.optimize);let d=o.toString();l=`${o.scopeRefs(j_.default.scope)}return ${d}`,this.opts.code.process&&(l=this.opts.code.process(l,e));let p=new Function(`${j_.default.self}`,`${j_.default.scope}`,l)(this,this.scope.get());if(this.scope.value(c,{ref:p}),p.errors=null,p.schema=e.schema,p.schemaEnv=e,e.$async&&(p.$async=!0),this.opts.code.source===!0&&(p.source={validateName:c,validateCode:d,scopeValues:o._values}),this.opts.unevaluated){let{props:h,items:m}=u;p.evaluated={props:h instanceof Af.Name?void 0:h,items:m instanceof Af.Name?void 0:m,dynamicProps:h instanceof Af.Name,dynamicItems:m instanceof Af.Name},p.source&&(p.source.evaluated=(0,Af.stringify)(p.evaluated))}return e.validate=p,e}catch(d){throw delete e.validate,delete e.validateName,l&&this.logger.error("Error compiling schema, function code:",l),d}finally{this._compilations.delete(e)}}bd.compileSchema=Cse;function Uln(e,t,n){var r;n=(0,wf.resolveUrl)(this.opts.uriResolver,t,n);let i=e.refs[n];if(i)return i;let s=Hln.call(this,e,n);if(s===void 0){let o=(r=e.localRefs)===null||r===void 0?void 0:r[n],{schemaId:a}=this.opts;o&&(s=new ik({schema:o,schemaId:a,root:e,baseId:t}))}if(s!==void 0)return e.refs[n]=Fln.call(this,s)}bd.resolveRef=Uln;function Fln(e){return(0,wf.inlineRef)(e.schema,this.opts.inlineRefs)?e.schema:e.validate?e:Cse.call(this,e)}function H6e(e){for(let t of this._compilations)if(jln(t,e))return t}bd.getCompilingSchema=H6e;function jln(e,t){return e.schema===t.schema&&e.root===t.root&&e.baseId===t.baseId}function Hln(e,t){let n;for(;typeof(n=this.refs[t])=="string";)t=n;return n||this.schemas[t]||Q2.call(this,e,t)}function Q2(e,t){let n=this.opts.uriResolver.parse(t),r=(0,wf._getFullPath)(this.opts.uriResolver,n),i=(0,wf.getFullPath)(this.opts.uriResolver,e.baseId,void 0);if(Object.keys(e.schema).length>0&&r===i)return Nse.call(this,n,e);let s=(0,wf.normalizeId)(r),o=this.refs[s]||this.schemas[s];if(typeof o=="string"){let a=Q2.call(this,e,o);return typeof a?.schema!="object"?void 0:Nse.call(this,n,a)}if(typeof o?.schema=="object"){if(o.validate||Cse.call(this,o),s===(0,wf.normalizeId)(t)){let{schema:a}=o,{schemaId:c}=this.opts,u=a[c];return u&&(i=(0,wf.resolveUrl)(this.opts.uriResolver,i,u)),new ik({schema:a,schemaId:c,root:e,baseId:i})}return Nse.call(this,n,o)}}bd.resolveSchema=Q2;var qln=new Set(["properties","patternProperties","enum","dependencies","definitions"]);function Nse(e,{baseId:t,schema:n,root:r}){var i;if(((i=e.fragment)===null||i===void 0?void 0:i[0])!=="/")return;for(let a of e.fragment.slice(1).split("/")){if(typeof n=="boolean")return;let c=n[(0,j6e.unescapeFragment)(a)];if(c===void 0)return;n=c;let u=typeof n=="object"&&n[this.opts.schemaId];!qln.has(a)&&u&&(t=(0,wf.resolveUrl)(this.opts.uriResolver,t,u))}let s;if(typeof n!="boolean"&&n.$ref&&!(0,j6e.schemaHasRulesButRef)(n,this.RULES)){let a=(0,wf.resolveUrl)(this.opts.uriResolver,t,n.$ref);s=Q2.call(this,r,a)}let{schemaId:o}=this.opts;if(s=s||new ik({schema:n,schemaId:o,root:r,baseId:t}),s.schema!==s.root.schema)return s}});var q6e=w((wVr,Bln)=>{Bln.exports={$id:"https://raw.githubusercontent.com/ajv-validator/ajv/master/lib/refs/data.json#",description:"Meta-schema for $data reference (JSON AnySchema extension proposal)",type:"object",required:["$data"],properties:{$data:{type:"string",anyOf:[{format:"relative-json-pointer"},{format:"json-pointer"}]}},additionalProperties:!1}});var Dse=w((kVr,V6e)=>{"use strict";var zln=RegExp.prototype.test.bind(/^[\da-f]{8}-[\da-f]{4}-[\da-f]{4}-[\da-f]{4}-[\da-f]{12}$/iu),z6e=RegExp.prototype.test.bind(/^(?:(?:25[0-5]|2[0-4]\d|1\d{2}|[1-9]\d|\d)\.){3}(?:25[0-5]|2[0-4]\d|1\d{2}|[1-9]\d|\d)$/u);function Mse(e){let t="",n=0,r=0;for(r=0;r<e.length;r++)if(n=e[r].charCodeAt(0),n!==48){if(!(n>=48&&n<=57||n>=65&&n<=70||n>=97&&n<=102))return"";t+=e[r];break}for(r+=1;r<e.length;r++){if(n=e[r].charCodeAt(0),!(n>=48&&n<=57||n>=65&&n<=70||n>=97&&n<=102))return"";t+=e[r]}return t}var Gln=RegExp.prototype.test.bind(/[^!"$&'()*+,\-.;=_`a-z{}~]/u);function B6e(e){return e.length=0,!0}function Vln(e,t,n){if(e.length){let r=Mse(e);if(r!=="")t.push(r);else return n.error=!0,!1;e.length=0}return!0}function Wln(e){let t=0,n={error:!1,address:"",zone:""},r=[],i=[],s=!1,o=!1,a=Vln;for(let c=0;c<e.length;c++){let u=e[c];if(!(u==="["||u==="]"))if(u===":"){if(s===!0&&(o=!0),!a(i,r,n))break;if(++t>7){n.error=!0;break}c>0&&e[c-1]===":"&&(s=!0),r.push(":");continue}else if(u==="%"){if(!a(i,r,n))break;a=B6e}else{i.push(u);continue}}return i.length&&(a===B6e?n.zone=i.join(""):o?r.push(i.join("")):r.push(Mse(i))),n.address=r.join(""),n}function G6e(e){if(Kln(e,":")<2)return{host:e,isIPV6:!1};let t=Wln(e);if(t.error)return{host:e,isIPV6:!1};{let n=t.address,r=t.address;return t.zone&&(n+="%"+t.zone,r+="%25"+t.zone),{host:n,isIPV6:!0,escapedHost:r}}}function Kln(e,t){let n=0;for(let r=0;r<e.length;r++)e[r]===t&&n++;return n}function Yln(e){let t=e,n=[],r=-1,i=0;for(;i=t.length;){if(i===1){if(t===".")break;if(t==="/"){n.push("/");break}else{n.push(t);break}}else if(i===2){if(t[0]==="."){if(t[1]===".")break;if(t[1]==="/"){t=t.slice(2);continue}}else if(t[0]==="/"&&(t[1]==="."||t[1]==="/")){n.push("/");break}}else if(i===3&&t==="/.."){n.length!==0&&n.pop(),n.push("/");break}if(t[0]==="."){if(t[1]==="."){if(t[2]==="/"){t=t.slice(3);continue}}else if(t[1]==="/"){t=t.slice(2);continue}}else if(t[0]==="/"&&t[1]==="."){if(t[2]==="/"){t=t.slice(2);continue}else if(t[2]==="."&&t[3]==="/"){t=t.slice(3),n.length!==0&&n.pop();continue}}if((r=t.indexOf("/",1))===-1){n.push(t);break}else n.push(t.slice(0,r)),t=t.slice(r)}return n.join("")}function Zln(e,t){let n=t!==!0?escape:unescape;return e.scheme!==void 0&&(e.scheme=n(e.scheme)),e.userinfo!==void 0&&(e.userinfo=n(e.userinfo)),e.host!==void 0&&(e.host=n(e.host)),e.path!==void 0&&(e.path=n(e.path)),e.query!==void 0&&(e.query=n(e.query)),e.fragment!==void 0&&(e.fragment=n(e.fragment)),e}function Jln(e){let t=[];if(e.userinfo!==void 0&&(t.push(e.userinfo),t.push("@")),e.host!==void 0){let n=unescape(e.host);if(!z6e(n)){let r=G6e(n);r.isIPV6===!0?n=`[${r.escapedHost}]`:n=e.host}t.push(n)}return(typeof e.port=="number"||typeof e.port=="string")&&(t.push(":"),t.push(String(e.port))),t.length?t.join(""):void 0}V6e.exports={nonSimpleDomain:Gln,recomposeAuthority:Jln,normalizeComponentEncoding:Zln,removeDotSegments:Yln,isIPv4:z6e,isUUID:zln,normalizeIPv6:G6e,stringArrayToHexStripped:Mse}});var J6e=w((IVr,Z6e)=>{"use strict";var{isUUID:Xln}=Dse(),Qln=/([\da-z][\d\-a-z]{0,31}):((?:[\w!$'()*+,\-.:;=@]|%[\da-f]{2})+)/iu,$ln=["http","https","ws","wss","urn","urn:uuid"];function edn(e){return $ln.indexOf(e)!==-1}function Lse(e){return e.secure===!0?!0:e.secure===!1?!1:e.scheme?e.scheme.length===3&&(e.scheme[0]==="w"||e.scheme[0]==="W")&&(e.scheme[1]==="s"||e.scheme[1]==="S")&&(e.scheme[2]==="s"||e.scheme[2]==="S"):!1}function W6e(e){return e.host||(e.error=e.error||"HTTP URIs must have a host."),e}function K6e(e){let t=String(e.scheme).toLowerCase()==="https";return(e.port===(t?443:80)||e.port==="")&&(e.port=void 0),e.path||(e.path="/"),e}function tdn(e){return e.secure=Lse(e),e.resourceName=(e.path||"/")+(e.query?"?"+e.query:""),e.path=void 0,e.query=void 0,e}function ndn(e){if((e.port===(Lse(e)?443:80)||e.port==="")&&(e.port=void 0),typeof e.secure=="boolean"&&(e.scheme=e.secure?"wss":"ws",e.secure=void 0),e.resourceName){let[t,n]=e.resourceName.split("?");e.path=t&&t!=="/"?t:void 0,e.query=n,e.resourceName=void 0}return e.fragment=void 0,e}function rdn(e,t){if(!e.path)return e.error="URN can not be parsed",e;let n=e.path.match(Qln);if(n){let r=t.scheme||e.scheme||"urn";e.nid=n[1].toLowerCase(),e.nss=n[2];let i=`${r}:${t.nid||e.nid}`,s=Use(i);e.path=void 0,s&&(e=s.parse(e,t))}else e.error=e.error||"URN can not be parsed.";return e}function idn(e,t){if(e.nid===void 0)throw new Error("URN without nid cannot be serialized");let n=t.scheme||e.scheme||"urn",r=e.nid.toLowerCase(),i=`${n}:${t.nid||r}`,s=Use(i);s&&(e=s.serialize(e,t));let o=e,a=e.nss;return o.path=`${r||t.nid}:${a}`,t.skipEscape=!0,o}function sdn(e,t){let n=e;return n.uuid=n.nss,n.nss=void 0,!t.tolerant&&(!n.uuid||!Xln(n.uuid))&&(n.error=n.error||"UUID is not valid."),n}function odn(e){let t=e;return t.nss=(e.uuid||"").toLowerCase(),t}var Y6e={scheme:"http",domainHost:!0,parse:W6e,serialize:K6e},adn={scheme:"https",domainHost:Y6e.domainHost,parse:W6e,serialize:K6e},$2={scheme:"ws",domainHost:!0,parse:tdn,serialize:ndn},cdn={scheme:"wss",domainHost:$2.domainHost,parse:$2.parse,serialize:$2.serialize},udn={scheme:"urn",parse:rdn,serialize:idn,skipNormalize:!0},ldn={scheme:"urn:uuid",parse:sdn,serialize:odn,skipNormalize:!0},eV={http:Y6e,https:adn,ws:$2,wss:cdn,urn:udn,"urn:uuid":ldn};Object.setPrototypeOf(eV,null);function Use(e){return e&&(eV[e]||eV[e.toLowerCase()])||void 0}Z6e.exports={wsIsSecure:Lse,SCHEMES:eV,isValidSchemeName:edn,getSchemeHandler:Use}});var rV=w((xVr,nV)=>{"use strict";var{normalizeIPv6:ddn,removeDotSegments:xC,recomposeAuthority:fdn,normalizeComponentEncoding:tV,isIPv4:pdn,nonSimpleDomain:hdn}=Dse(),{SCHEMES:mdn,getSchemeHandler:X6e}=J6e();function gdn(e,t){return typeof e=="string"?e=hh(Zm(e,t),t):typeof e=="object"&&(e=Zm(hh(e,t),t)),e}function ydn(e,t,n){let r=n?Object.assign({scheme:"null"},n):{scheme:"null"},i=Q6e(Zm(e,r),Zm(t,r),r,!0);return r.skipEscape=!0,hh(i,r)}function Q6e(e,t,n,r){let i={};return r||(e=Zm(hh(e,n),n),t=Zm(hh(t,n),n)),n=n||{},!n.tolerant&&t.scheme?(i.scheme=t.scheme,i.userinfo=t.userinfo,i.host=t.host,i.port=t.port,i.path=xC(t.path||""),i.query=t.query):(t.userinfo!==void 0||t.host!==void 0||t.port!==void 0?(i.userinfo=t.userinfo,i.host=t.host,i.port=t.port,i.path=xC(t.path||""),i.query=t.query):(t.path?(t.path[0]==="/"?i.path=xC(t.path):((e.userinfo!==void 0||e.host!==void 0||e.port!==void 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Error(`${n} does not support task creation for elicitation/create (required for ${t})`);break;default:break}}var g8e=v(()=>{});var l2,y8e=v(()=>{OYe();O_();f8e();nV();p8e();g8e();l2=class extends RV{constructor(t,n){super(n),this._serverInfo=t,this._loggingLevels=new Map,this.LOG_LEVEL_SEVERITY=new Map(sC.options.map((r,i)=>[r,i])),this.isMessageIgnored=(r,i)=>{let s=this._loggingLevels.get(i);return s?this.LOG_LEVEL_SEVERITY.get(r)<this.LOG_LEVEL_SEVERITY.get(s):!1},this._capabilities=n?.capabilities??{},this._instructions=n?.instructions,this._jsonSchemaValidator=n?.jsonSchemaValidator??new c2,this.setRequestHandler(zre,r=>this._oninitialize(r)),this.setNotificationHandler(Vre,()=>this.oninitialized?.()),this._capabilities.logging&&this.setRequestHandler(tie,async(r,i)=>{let s=i.sessionId||i.requestInfo?.headers["mcp-session-id"]||void 0,{level:o}=r.params,a=sC.safeParse(o);return a.success&&this._loggingLevels.set(s,a.data),{}})}get experimental(){return this._experimental||(this._experimental={tasks:new u2(this)}),this._experimental}registerCapabilities(t){if(this.transport)throw new Error("Cannot register capabilities after connecting to transport");this._capabilities=xYe(this._capabilities,t)}setRequestHandler(t,n){let i=tV(t)?.method;if(!i)throw new Error("Schema is missing a method literal");let s;if(Bw(i)){let a=i;s=a._zod?.def?.value??a.value}else{let a=i;s=a._def?.value??a.value}if(typeof s!="string")throw new Error("Schema method literal must be a string");if(s==="tools/call"){let a=async(c,u)=>{let l=wS(iC,c);if(!l.success){let h=l.error instanceof Error?l.error.message:String(l.error);throw new rn(yn.InvalidParams,`Invalid tools/call request: ${h}`)}let{params:d}=l.data,f=await Promise.resolve(n(c,u));if(d.task){let h=wS(zw,f);if(!h.success){let m=h.error instanceof Error?h.error.message:String(h.error);throw new rn(yn.InvalidParams,`Invalid task creation result: ${m}`)}return h.data}let p=wS(SV,f);if(!p.success){let h=p.error instanceof Error?p.error.message:String(p.error);throw new rn(yn.InvalidParams,`Invalid tools/call result: ${h}`)}return p.data};return super.setRequestHandler(t,a)}return super.setRequestHandler(t,n)}assertCapabilityForMethod(t){switch(t){case"sampling/createMessage":if(!this._clientCapabilities?.sampling)throw new Error(`Client does not support sampling (required for ${t})`);break;case"elicitation/create":if(!this._clientCapabilities?.elicitation)throw new Error(`Client does not support elicitation (required for ${t})`);break;case"roots/list":if(!this._clientCapabilities?.roots)throw new Error(`Client does not support listing roots (required for ${t})`);break;case"ping":break}}assertNotificationCapability(t){switch(t){case"notifications/message":if(!this._capabilities.logging)throw new Error(`Server does not support logging (required for ${t})`);break;case"notifications/resources/updated":case"notifications/resources/list_changed":if(!this._capabilities.resources)throw new Error(`Server does not support notifying about resources (required for ${t})`);break;case"notifications/tools/list_changed":if(!this._capabilities.tools)throw new Error(`Server does not support notifying of tool list changes (required for ${t})`);break;case"notifications/prompts/list_changed":if(!this._capabilities.prompts)throw new Error(`Server does not support notifying of prompt list changes (required for ${t})`);break;case"notifications/elicitation/complete":if(!this._clientCapabilities?.elicitation?.url)throw new Error(`Client does not support URL elicitation (required for ${t})`);break;case"notifications/cancelled":break;case"notifications/progress":break}}assertRequestHandlerCapability(t){if(this._capabilities)switch(t){case"completion/complete":if(!this._capabilities.completions)throw new Error(`Server does not support completions (required for ${t})`);break;case"logging/setLevel":if(!this._capabilities.logging)throw new Error(`Server does not support logging (required for ${t})`);break;case"prompts/get":case"prompts/list":if(!this._capabilities.prompts)throw new Error(`Server does not support prompts (required for ${t})`);break;case"resources/list":case"resources/templates/list":case"resources/read":if(!this._capabilities.resources)throw new Error(`Server does not support resources (required for ${t})`);break;case"tools/call":case"tools/list":if(!this._capabilities.tools)throw new Error(`Server does not support tools (required for ${t})`);break;case"tasks/get":case"tasks/list":case"tasks/result":case"tasks/cancel":if(!this._capabilities.tasks)throw new Error(`Server does not support tasks capability (required for ${t})`);break;case"ping":case"initialize":break}}assertTaskCapability(t){m8e(this._clientCapabilities?.tasks?.requests,t,"Client")}assertTaskHandlerCapability(t){this._capabilities&&h8e(this._capabilities.tasks?.requests,t,"Server")}async _oninitialize(t){let n=t.params.protocolVersion;return this._clientCapabilities=t.params.capabilities,this._clientVersion=t.params.clientInfo,{protocolVersion:cYe.includes(n)?n:jre,capabilities:this.getCapabilities(),serverInfo:this._serverInfo,...this._instructions&&{instructions:this._instructions}}}getClientCapabilities(){return this._clientCapabilities}getClientVersion(){return this._clientVersion}getCapabilities(){return this._capabilities}async ping(){return this.request({method:"ping"},cV)}async createMessage(t,n){if((t.tools||t.toolChoice)&&!this._clientCapabilities?.sampling?.tools)throw new Error("Client does not support sampling tools capability.");if(t.messages.length>0){let r=t.messages[t.messages.length-1],i=Array.isArray(r.content)?r.content:[r.content],s=i.some(u=>u.type==="tool_result"),o=t.messages.length>1?t.messages[t.messages.length-2]:void 0,a=o?Array.isArray(o.content)?o.content:[o.content]:[],c=a.some(u=>u.type==="tool_use");if(s){if(i.some(u=>u.type!=="tool_result"))throw new Error("The last message must contain only tool_result content if any is present");if(!c)throw new Error("tool_result blocks are not matching any tool_use from the previous message")}if(c){let u=new Set(a.filter(d=>d.type==="tool_use").map(d=>d.id)),l=new Set(i.filter(d=>d.type==="tool_result").map(d=>d.toolUseId));if(u.size!==l.size||![...u].every(d=>l.has(d)))throw new Error("ids of tool_result blocks and tool_use blocks from previous message do not match")}}return t.tools?this.request({method:"sampling/createMessage",params:t},nie,n):this.request({method:"sampling/createMessage",params:t},oC,n)}async elicitInput(t,n){switch(t.mode??"form"){case"url":{if(!this._clientCapabilities?.elicitation?.url)throw new Error("Client does not support url elicitation.");let i=t;return this.request({method:"elicitation/create",params:i},Ww,n)}case"form":{if(!this._clientCapabilities?.elicitation?.form)throw new Error("Client does not support form elicitation.");let i=t.mode==="form"?t:{...t,mode:"form"},s=await this.request({method:"elicitation/create",params:i},Ww,n);if(s.action==="accept"&&s.content&&i.requestedSchema)try{let a=this._jsonSchemaValidator.getValidator(i.requestedSchema)(s.content);if(!a.valid)throw new rn(yn.InvalidParams,`Elicitation response content does not match requested schema: ${a.errorMessage}`)}catch(o){throw o instanceof rn?o:new rn(yn.InternalError,`Error validating elicitation response: ${o instanceof Error?o.message:String(o)}`)}return s}}}createElicitationCompletionNotifier(t,n){if(!this._clientCapabilities?.elicitation?.url)throw new Error("Client does not support URL elicitation (required for notifications/elicitation/complete)");return()=>this.notification({method:"notifications/elicitation/complete",params:{elicitationId:t}},n)}async listRoots(t,n){return this.request({method:"roots/list",params:t},iie,n)}async sendLoggingMessage(t,n){if(this._capabilities.logging&&!this.isMessageIgnored(t.level,n))return this.notification({method:"notifications/message",params:t})}async sendResourceUpdated(t){return this.notification({method:"notifications/resources/updated",params:t})}async sendResourceListChanged(){return this.notification({method:"notifications/resources/list_changed"})}async sendToolListChanged(){return this.notification({method:"notifications/tools/list_changed"})}async sendPromptListChanged(){return this.notification({method:"notifications/prompts/list_changed"})}}});function ohn(e){return gYe.parse(JSON.parse(e))}function S8e(e){return JSON.stringify(e)+`
-`}var d2,E8e=v(()=>{O_();d2=class{append(t){this._buffer=this._buffer?Buffer.concat([this._buffer,t]):t}readMessage(){if(!this._buffer)return null;let t=this._buffer.indexOf(`
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If using Server class, note that connect() calls start() automatically.");this._started=!0,this._stdin.on("data",this._ondata),this._stdin.on("error",this._onerror)}processReadBuffer(){for(;;)try{let t=this._readBuffer.readMessage();if(t===null)break;this.onmessage?.(t)}catch(t){this.onerror?.(t)}}async close(){this._stdin.off("data",this._ondata),this._stdin.off("error",this._onerror),this._stdin.listenerCount("data")===0&&this._stdin.pause(),this._readBuffer.clear(),this.onclose?.()}send(t){return new Promise(n=>{let r=S8e(t);this._stdout.write(r)?n():this._stdout.once("drain",n)})}}});var v8e=w((eWr,Ioe)=>{"use strict";var ahn=/at\s(?:.*\.)?plugin\s.*\n\s*(.*)/,chn=/(\w*(\.\w*)*)\..*/;Ioe.exports=function(t){if(t.name.length>0)return t.name;let n=Error.stackTraceLimit;Error.stackTraceLimit=10;try{throw new Error("anonymous function")}catch(r){return Error.stackTraceLimit=n,T8e(r.stack)}};function T8e(e){let t=e.match(ahn);return t?t[1].split(/[/\\]/).slice(-1)[0].match(chn)[1]:"anonymous"}Ioe.exports.extractPluginName=T8e});var R8e=w((tWr,A8e)=>{"use strict";A8e.exports=function(t){return t[0]==="@"&&(t=t.slice(1).replace("/","-")),t.replace(/-(.)/g,function(n,r){return r.toUpperCase()})}});var UC=w((nWr,p2)=>{"use strict";var uhn=v8e(),lhn=R8e(),dhn=0;function xoe(e,t={}){let n=!1;if(e.default!==void 0&&(e=e.default),typeof e!="function")throw new TypeError(`fastify-plugin expects a function, instead got a '${typeof e}'`);if(typeof t=="string"&&(t={fastify:t}),typeof t!="object"||Array.isArray(t)||t===null)throw new TypeError("The options object should be an object");if(t.fastify!==void 0&&typeof t.fastify!="string")throw new TypeError(`fastify-plugin expects a version string, instead got '${typeof t.fastify}'`);t.name||(n=!0,t.name=uhn(e)+"-auto-"+dhn++),e[Symbol.for("skip-override")]=t.encapsulate!==!0,e[Symbol.for("fastify.display-name")]=t.name,e[Symbol.for("plugin-meta")]=t,e.default||(e.default=e);let r=lhn(t.name);return!n&&!e[r]&&(e[r]=e),e}p2.exports=xoe;p2.exports.default=xoe;p2.exports.fastifyPlugin=xoe});var y2=w(yh=>{"use strict";var Ooe=class{constructor(t=1e3,n=0){if(isNaN(t)||t<0)throw new Error("Invalid max value");if(isNaN(n)||n<0)throw new Error("Invalid ttl value");this.first=null,this.items=new Map,this.last=null,this.max=t,this.ttl=n}get size(){return this.items.size}clear(){this.items=new Map,this.first=null,this.last=null}delete(t){if(this.items.has(t)){let n=this.items.get(t);this.items.delete(t),n.prev!==null&&(n.prev.next=n.next),n.next!==null&&(n.next.prev=n.prev),this.first===n&&(this.first=n.next),this.last===n&&(this.last=n.prev)}}deleteMany(t){for(var n=0;n<t.length;n++)this.delete(t[n])}evict(){if(this.size>0){let t=this.first;this.items.delete(t.key),this.size===0?(this.first=null,this.last=null):(this.first=t.next,this.first.prev=null)}}expiresAt(t){if(this.items.has(t))return this.items.get(t).expiry}get(t){if(this.items.has(t)){let n=this.items.get(t);if(this.ttl>0&&n.expiry<=Date.now()){this.delete(t);return}return n.value}}getMany(t){let n=[];for(var r=0;r<t.length;r++)n.push(this.get(t[r]));return n}keys(){return this.items.keys()}set(t,n){if(this.items.has(t)){let i=this.items.get(t);i.value=n,i.expiry=this.ttl>0?Date.now()+this.ttl:this.ttl;return}this.max>0&&this.size===this.max&&this.evict();let r={expiry:this.ttl>0?Date.now()+this.ttl:this.ttl,key:t,prev:this.last,next:null,value:n};this.items.set(t,r),this.size===1?this.first=r:this.last.next=r,this.last=r}},Noe=class{constructor(t=1e3,n=0){if(isNaN(t)||t<0)throw new Error("Invalid max value");if(isNaN(n)||n<0)throw new Error("Invalid ttl value");this.first=null,this.items=new Map,this.last=null,this.max=t,this.ttl=n}get size(){return this.items.size}bumpLru(t){if(this.last===t)return;let n=this.last,r=t.next,i=t.prev;this.first===t&&(this.first=r),t.next=null,t.prev=n,n.next=t,i!==null&&(i.next=r),r!==null&&(r.prev=i),this.last=t}clear(){this.items=new Map,this.first=null,this.last=null}delete(t){if(this.items.has(t)){let n=this.items.get(t);this.items.delete(t),n.prev!==null&&(n.prev.next=n.next),n.next!==null&&(n.next.prev=n.prev),this.first===n&&(this.first=n.next),this.last===n&&(this.last=n.prev)}}deleteMany(t){for(var n=0;n<t.length;n++)this.delete(t[n])}evict(){if(this.size>0){let t=this.first;this.items.delete(t.key),this.size===0?(this.first=null,this.last=null):(this.first=t.next,this.first.prev=null)}}expiresAt(t){if(this.items.has(t))return this.items.get(t).expiry}get(t){if(this.items.has(t)){let n=this.items.get(t);if(this.ttl>0&&n.expiry<=Date.now()){this.delete(t);return}return this.bumpLru(n),n.value}}getMany(t){let n=[];for(var r=0;r<t.length;r++)n.push(this.get(t[r]));return n}keys(){return this.items.keys()}set(t,n){if(this.items.has(t)){let i=this.items.get(t);i.value=n,i.expiry=this.ttl>0?Date.now()+this.ttl:this.ttl,this.last!==i&&this.bumpLru(i);return}this.max>0&&this.size===this.max&&this.evict();let r={expiry:this.ttl>0?Date.now()+this.ttl:this.ttl,key:t,prev:this.last,next:null,value:n};this.items.set(t,r),this.size===1?this.first=r:this.last.next=r,this.last=r}},FC=class{constructor(t=1e3,n=0){if(isNaN(t)||t<0)throw new Error("Invalid max value");if(isNaN(n)||n<0)throw new Error("Invalid ttl value");this.first=null,this.items=Object.create(null),this.last=null,this.size=0,this.max=t,this.ttl=n}bumpLru(t){if(this.last===t)return;let n=this.last,r=t.next,i=t.prev;this.first===t&&(this.first=r),t.next=null,t.prev=n,n.next=t,i!==null&&(i.next=r),r!==null&&(r.prev=i),this.last=t}clear(){this.items=Object.create(null),this.first=null,this.last=null,this.size=0}delete(t){if(Object.prototype.hasOwnProperty.call(this.items,t)){let n=this.items[t];delete this.items[t],this.size--,n.prev!==null&&(n.prev.next=n.next),n.next!==null&&(n.next.prev=n.prev),this.first===n&&(this.first=n.next),this.last===n&&(this.last=n.prev)}}deleteMany(t){for(var n=0;n<t.length;n++)this.delete(t[n])}evict(){if(this.size>0){let t=this.first;delete this.items[t.key],--this.size===0?(this.first=null,this.last=null):(this.first=t.next,this.first.prev=null)}}expiresAt(t){if(Object.prototype.hasOwnProperty.call(this.items,t))return this.items[t].expiry}get(t){if(Object.prototype.hasOwnProperty.call(this.items,t)){let n=this.items[t];if(this.ttl>0&&n.expiry<=Date.now()){this.delete(t);return}return this.bumpLru(n),n.value}}getMany(t){let n=[];for(var r=0;r<t.length;r++)n.push(this.get(t[r]));return n}keys(){return Object.keys(this.items)}set(t,n){if(Object.prototype.hasOwnProperty.call(this.items,t)){let i=this.items[t];i.value=n,i.expiry=this.ttl>0?Date.now()+this.ttl:this.ttl,this.last!==i&&this.bumpLru(i);return}this.max>0&&this.size===this.max&&this.evict();let r={expiry:this.ttl>0?Date.now()+this.ttl:this.ttl,key:t,prev:this.last,next:null,value:n};this.items[t]=r,++this.size===1?this.first=r:this.last.next=r,this.last=r}},h2=class{constructor(){this.records={}}initForCache(t,n){this.records[t]={[n]:{cacheSize:0,hits:0,falsyHits:0,emptyHits:0,misses:0,expirations:0,evictions:0,invalidateOne:0,invalidateAll:0,sets:0}}}resetForCache(t){for(let n of Object.keys(this.records[t]))this.records[t][n]={cacheSize:0,hits:0,falsyHits:0,emptyHits:0,misses:0,expirations:0,evictions:0,invalidateOne:0,invalidateAll:0,sets:0}}getStatistics(){return this.records}};function w8e(e){return`${e.getFullYear()}-${(e.getMonth()+1).toString().padStart(2,"0")}-${e.getDate().toString().padStart(2,"0")}`}var Poe=class{constructor(t,n,r){this.cacheId=t,this.statisticTtlInHours=n,this.collectionStart=new Date,this.currentTimeStamp=w8e(this.collectionStart),this.records=r||new h2,this.records.initForCache(this.cacheId,this.currentTimeStamp)}get currentRecord(){return this.records.records[this.cacheId][this.currentTimeStamp]||(this.records.records[this.cacheId][this.currentTimeStamp]={cacheSize:0,hits:0,falsyHits:0,emptyHits:0,misses:0,expirations:0,evictions:0,sets:0,invalidateOne:0,invalidateAll:0}),this.records.records[this.cacheId][this.currentTimeStamp]}hoursPassed(){return(Date.now()-this.collectionStart)/1e3/60/60}addHit(){this.archiveIfNeeded(),this.currentRecord.hits++}addFalsyHit(){this.archiveIfNeeded(),this.currentRecord.falsyHits++}addEmptyHit(){this.archiveIfNeeded(),this.currentRecord.emptyHits++}addMiss(){this.archiveIfNeeded(),this.currentRecord.misses++}addEviction(){this.archiveIfNeeded(),this.currentRecord.evictions++}setCacheSize(t){this.archiveIfNeeded(),this.currentRecord.cacheSize=t}addExpiration(){this.archiveIfNeeded(),this.currentRecord.expirations++}addSet(){this.archiveIfNeeded(),this.currentRecord.sets++}addInvalidateOne(){this.archiveIfNeeded(),this.currentRecord.invalidateOne++}addInvalidateAll(){this.archiveIfNeeded(),this.currentRecord.invalidateAll++}getStatistics(){return 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Error(`${n} does not support task creation for elicitation/create (required for ${t})`);break;default:break}}var I8e=v(()=>{});var vV,x8e=v(()=>{BZe();N_();R8e();m2();A8e();I8e();vV=class extends F2{constructor(t,n){super(n),this._serverInfo=t,this._loggingLevels=new Map,this.LOG_LEVEL_SEVERITY=new Map(fC.options.map((r,i)=>[r,i])),this.isMessageIgnored=(r,i)=>{let s=this._loggingLevels.get(i);return s?this.LOG_LEVEL_SEVERITY.get(r)<this.LOG_LEVEL_SEVERITY.get(s):!1},this._capabilities=n?.capabilities??{},this._instructions=n?.instructions,this._jsonSchemaValidator=n?.jsonSchemaValidator??new _V,this.setRequestHandler(rie,r=>this._oninitialize(r)),this.setNotificationHandler(iie,()=>this.oninitialized?.()),this._capabilities.logging&&this.setRequestHandler(hie,async(r,i)=>{let s=i.sessionId||i.requestInfo?.headers["mcp-session-id"]||void 0,{level:o}=r.params,a=fC.safeParse(o);return a.success&&this._loggingLevels.set(s,a.data),{}})}get experimental(){return this._experimental||(this._experimental={tasks:new TV(this)}),this._experimental}registerCapabilities(t){if(this.transport)throw new Error("Cannot register capabilities after connecting to transport");this._capabilities=qZe(this._capabilities,t)}setRequestHandler(t,n){let i=h2(t)?.method;if(!i)throw new Error("Schema is missing a method literal");let s;if(Gw(i)){let a=i;s=a._zod?.def?.value??a.value}else{let a=i;s=a._def?.value??a.value}if(typeof s!="string")throw new Error("Schema method literal must be a string");if(s==="tools/call"){let a=async(c,u)=>{let l=IS(dC,c);if(!l.success){let h=l.error instanceof Error?l.error.message:String(l.error);throw new rn(yn.InvalidParams,`Invalid tools/call request: ${h}`)}let{params:d}=l.data,f=await Promise.resolve(n(c,u));if(d.task){let h=IS(Ww,f);if(!h.success){let m=h.error instanceof Error?h.error.message:String(h.error);throw new rn(yn.InvalidParams,`Invalid task creation result: ${m}`)}return h.data}let p=IS(P2,f);if(!p.success){let h=p.error instanceof Error?p.error.message:String(p.error);throw new rn(yn.InvalidParams,`Invalid tools/call result: ${h}`)}return p.data};return super.setRequestHandler(t,a)}return super.setRequestHandler(t,n)}assertCapabilityForMethod(t){switch(t){case"sampling/createMessage":if(!this._clientCapabilities?.sampling)throw new Error(`Client does not support sampling (required for ${t})`);break;case"elicitation/create":if(!this._clientCapabilities?.elicitation)throw new Error(`Client does not support elicitation (required for ${t})`);break;case"roots/list":if(!this._clientCapabilities?.roots)throw new Error(`Client does not support listing roots (required for ${t})`);break;case"ping":break}}assertNotificationCapability(t){switch(t){case"notifications/message":if(!this._capabilities.logging)throw new Error(`Server does not support logging (required for ${t})`);break;case"notifications/resources/updated":case"notifications/resources/list_changed":if(!this._capabilities.resources)throw new Error(`Server does not support notifying about resources (required for ${t})`);break;case"notifications/tools/list_changed":if(!this._capabilities.tools)throw new Error(`Server does not support notifying of tool list changes (required for ${t})`);break;case"notifications/prompts/list_changed":if(!this._capabilities.prompts)throw new Error(`Server does not support notifying of prompt list changes (required for ${t})`);break;case"notifications/elicitation/complete":if(!this._clientCapabilities?.elicitation?.url)throw new Error(`Client does not support URL elicitation (required for ${t})`);break;case"notifications/cancelled":break;case"notifications/progress":break}}assertRequestHandlerCapability(t){if(this._capabilities)switch(t){case"completion/complete":if(!this._capabilities.completions)throw new Error(`Server does not support completions (required for ${t})`);break;case"logging/setLevel":if(!this._capabilities.logging)throw new Error(`Server does not support logging (required for ${t})`);break;case"prompts/get":case"prompts/list":if(!this._capabilities.prompts)throw new Error(`Server does not support prompts (required for ${t})`);break;case"resources/list":case"resources/templates/list":case"resources/read":if(!this._capabilities.resources)throw new Error(`Server does not support resources (required for ${t})`);break;case"tools/call":case"tools/list":if(!this._capabilities.tools)throw new Error(`Server does not support tools (required for ${t})`);break;case"tasks/get":case"tasks/list":case"tasks/result":case"tasks/cancel":if(!this._capabilities.tasks)throw new Error(`Server does not support tasks capability (required for ${t})`);break;case"ping":case"initialize":break}}assertTaskCapability(t){k8e(this._clientCapabilities?.tasks?.requests,t,"Client")}assertTaskHandlerCapability(t){this._capabilities&&w8e(this._capabilities.tasks?.requests,t,"Server")}async _oninitialize(t){let n=t.params.protocolVersion;return this._clientCapabilities=t.params.capabilities,this._clientVersion=t.params.clientInfo,{protocolVersion:EZe.includes(n)?n:Qre,capabilities:this.getCapabilities(),serverInfo:this._serverInfo,...this._instructions&&{instructions:this._instructions}}}getClientCapabilities(){return this._clientCapabilities}getClientVersion(){return this._clientVersion}getCapabilities(){return this._capabilities}async ping(){return this.request({method:"ping"},_2)}async createMessage(t,n){if((t.tools||t.toolChoice)&&!this._clientCapabilities?.sampling?.tools)throw new Error("Client does not support sampling tools capability.");if(t.messages.length>0){let r=t.messages[t.messages.length-1],i=Array.isArray(r.content)?r.content:[r.content],s=i.some(u=>u.type==="tool_result"),o=t.messages.length>1?t.messages[t.messages.length-2]:void 0,a=o?Array.isArray(o.content)?o.content:[o.content]:[],c=a.some(u=>u.type==="tool_use");if(s){if(i.some(u=>u.type!=="tool_result"))throw new Error("The last message must contain only tool_result content if any is present");if(!c)throw new Error("tool_result blocks are not matching any tool_use from the previous message")}if(c){let u=new Set(a.filter(d=>d.type==="tool_use").map(d=>d.id)),l=new Set(i.filter(d=>d.type==="tool_result").map(d=>d.toolUseId));if(u.size!==l.size||![...u].every(d=>l.has(d)))throw new Error("ids of tool_result blocks and tool_use blocks from previous message do not match")}}return t.tools?this.request({method:"sampling/createMessage",params:t},mie,n):this.request({method:"sampling/createMessage",params:t},pC,n)}async elicitInput(t,n){switch(t.mode??"form"){case"url":{if(!this._clientCapabilities?.elicitation?.url)throw new Error("Client does not support url elicitation.");let i=t;return this.request({method:"elicitation/create",params:i},Yw,n)}case"form":{if(!this._clientCapabilities?.elicitation?.form)throw new Error("Client does not support form elicitation.");let i=t.mode==="form"?t:{...t,mode:"form"},s=await this.request({method:"elicitation/create",params:i},Yw,n);if(s.action==="accept"&&s.content&&i.requestedSchema)try{let a=this._jsonSchemaValidator.getValidator(i.requestedSchema)(s.content);if(!a.valid)throw new rn(yn.InvalidParams,`Elicitation response content does not match requested schema: ${a.errorMessage}`)}catch(o){throw o instanceof rn?o:new rn(yn.InternalError,`Error validating elicitation response: ${o instanceof Error?o.message:String(o)}`)}return s}}}createElicitationCompletionNotifier(t,n){if(!this._clientCapabilities?.elicitation?.url)throw new Error("Client does not support URL elicitation (required for notifications/elicitation/complete)");return()=>this.notification({method:"notifications/elicitation/complete",params:{elicitationId:t}},n)}async listRoots(t,n){return this.request({method:"roots/list",params:t},yie,n)}async sendLoggingMessage(t,n){if(this._capabilities.logging&&!this.isMessageIgnored(t.level,n))return this.notification({method:"notifications/message",params:t})}async sendResourceUpdated(t){return this.notification({method:"notifications/resources/updated",params:t})}async sendResourceListChanged(){return this.notification({method:"notifications/resources/list_changed"})}async sendToolListChanged(){return this.notification({method:"notifications/tools/list_changed"})}async sendPromptListChanged(){return this.notification({method:"notifications/prompts/list_changed"})}}});function Thn(e){return IZe.parse(JSON.parse(e))}function O8e(e){return JSON.stringify(e)+`
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zC=Z("zlib"),nJe=GC(),qhn=tJe(),{kStatusCode:rJe}=Ym(),Bhn=Buffer[Symbol.species],Ghn=Buffer.from([0,0,255,255]),I2=Symbol("permessage-deflate"),Jm=Symbol("total-length"),fk=Symbol("callback"),FS=Symbol("buffers"),pk=Symbol("error"),k2,Voe=class{constructor(t){if(this._options=t||{},this._threshold=this._options.threshold!==void 0?this._options.threshold:1024,this._maxPayload=this._options.maxPayload|0,this._isServer=!!this._options.isServer,this._deflate=null,this._inflate=null,this.params=null,!k2){let n=this._options.concurrencyLimit!==void 0?this._options.concurrencyLimit:10;k2=new qhn(n)}}static get extensionName(){return"permessage-deflate"}offer(){let t={};return 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n.serverMaxWindowBits=="number"&&n.serverMaxWindowBits>i.server_max_window_bits)||typeof n.clientMaxWindowBits=="number"&&!i.client_max_window_bits));if(!r)throw new Error("None of the extension offers can be accepted");return n.serverNoContextTakeover&&(r.server_no_context_takeover=!0),n.clientNoContextTakeover&&(r.client_no_context_takeover=!0),typeof n.serverMaxWindowBits=="number"&&(r.server_max_window_bits=n.serverMaxWindowBits),typeof n.clientMaxWindowBits=="number"?r.client_max_window_bits=n.clientMaxWindowBits:(r.client_max_window_bits===!0||n.clientMaxWindowBits===!1)&&delete r.client_max_window_bits,r}acceptAsClient(t){let n=t[0];if(this._options.clientNoContextTakeover===!1&&n.client_no_context_takeover)throw new Error('Unexpected parameter "client_no_context_takeover"');if(!n.client_max_window_bits)typeof this._options.clientMaxWindowBits=="number"&&(n.client_max_window_bits=this._options.clientMaxWindowBits);else if(this._options.clientMaxWindowBits===!1||typeof this._options.clientMaxWindowBits=="number"&&n.client_max_window_bits>this._options.clientMaxWindowBits)throw new Error('Unexpected or invalid parameter "client_max_window_bits"');return n}normalizeParams(t){return t.forEach(n=>{Object.keys(n).forEach(r=>{let i=n[r];if(i.length>1)throw new Error(`Parameter "${r}" must have only a single value`);if(i=i[0],r==="client_max_window_bits"){if(i!==!0){let s=+i;if(!Number.isInteger(s)||s<8||s>15)throw new TypeError(`Invalid value for parameter "${r}": ${i}`);i=s}else if(!this._isServer)throw new TypeError(`Invalid value for parameter "${r}": ${i}`)}else if(r==="server_max_window_bits"){let s=+i;if(!Number.isInteger(s)||s<8||s>15)throw new TypeError(`Invalid value for parameter "${r}": ${i}`);i=s}else if(r==="client_no_context_takeover"||r==="server_no_context_takeover"){if(i!==!0)throw new TypeError(`Invalid value for parameter "${r}": ${i}`)}else throw new Error(`Unknown parameter "${r}"`);n[r]=i})}),t}decompress(t,n,r){k2.add(i=>{this._decompress(t,n,(s,o)=>{i(),r(s,o)})})}compress(t,n,r){k2.add(i=>{this._compress(t,n,(s,o)=>{i(),r(s,o)})})}_decompress(t,n,r){let i=this._isServer?"client":"server";if(!this._inflate){let s=`${i}_max_window_bits`,o=typeof this.params[s]!="number"?zC.Z_DEFAULT_WINDOWBITS:this.params[s];this._inflate=zC.createInflateRaw({...this._options.zlibInflateOptions,windowBits:o}),this._inflate[I2]=this,this._inflate[Jm]=0,this._inflate[FS]=[],this._inflate.on("error",Vhn),this._inflate.on("data",iJe)}this._inflate[fk]=r,this._inflate.write(t),n&&this._inflate.write(Ghn),this._inflate.flush(()=>{let s=this._inflate[pk];if(s){this._inflate.close(),this._inflate=null,r(s);return}let o=nJe.concat(this._inflate[FS],this._inflate[Jm]);this._inflate._readableState.endEmitted?(this._inflate.close(),this._inflate=null):(this._inflate[Jm]=0,this._inflate[FS]=[],n&&this.params[`${i}_no_context_takeover`]&&this._inflate.reset()),r(null,o)})}_compress(t,n,r){let i=this._isServer?"server":"client";if(!this._deflate){let s=`${i}_max_window_bits`,o=typeof this.params[s]!="number"?zC.Z_DEFAULT_WINDOWBITS:this.params[s];this._deflate=zC.createDeflateRaw({...this._options.zlibDeflateOptions,windowBits:o}),this._deflate[Jm]=0,this._deflate[FS]=[],this._deflate.on("data",zhn)}this._deflate[fk]=r,this._deflate.write(t),this._deflate.flush(zC.Z_SYNC_FLUSH,()=>{if(!this._deflate)return;let s=nJe.concat(this._deflate[FS],this._deflate[Jm]);n&&(s=new Bhn(s.buffer,s.byteOffset,s.length-4)),this._deflate[fk]=null,this._deflate[Jm]=0,this._deflate[FS]=[],n&&this.params[`${i}_no_context_takeover`]&&this._deflate.reset(),r(null,s)})}};sJe.exports=Voe;function zhn(e){this[FS].push(e),this[Jm]+=e.length}function iJe(e){if(this[Jm]+=e.length,this[I2]._maxPayload<1||this[Jm]<=this[I2]._maxPayload){this[FS].push(e);return}this[pk]=new RangeError("Max payload size exceeded"),this[pk].code="WS_ERR_UNSUPPORTED_MESSAGE_LENGTH",this[pk][rJe]=1009,this.removeListener("data",iJe),this.reset()}function Vhn(e){if(this[I2]._inflate=null,this[pk]){this[fk](this[pk]);return}e[rJe]=1007,this[fk](e)}});var mk=w((hWr,x2)=>{"use strict";var{isUtf8:oJe}=Z("buffer"),{hasBlob:Whn}=Ym(),Khn=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,1,1,1,1,0,0,1,1,0,1,1,0,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,1,0,1,0];function Zhn(e){return e>=1e3&&e<=1014&&e!==1004&&e!==1005&&e!==1006||e>=3e3&&e<=4999}function Woe(e){let t=e.length,n=0;for(;n<t;)if((e[n]&128)===0)n++;else if((e[n]&224)===192){if(n+1===t||(e[n+1]&192)!==128||(e[n]&254)===192)return!1;n+=2}else if((e[n]&240)===224){if(n+2>=t||(e[n+1]&192)!==128||(e[n+2]&192)!==128||e[n]===224&&(e[n+1]&224)===128||e[n]===237&&(e[n+1]&224)===160)return!1;n+=3}else if((e[n]&248)===240){if(n+3>=t||(e[n+1]&192)!==128||(e[n+2]&192)!==128||(e[n+3]&192)!==128||e[n]===240&&(e[n+1]&240)===128||e[n]===244&&e[n+1]>143||e[n]>244)return!1;n+=4}else return!1;return!0}function Yhn(e){return Whn&&typeof e=="object"&&typeof e.arrayBuffer=="function"&&typeof e.type=="string"&&typeof e.stream=="function"&&(e[Symbol.toStringTag]==="Blob"||e[Symbol.toStringTag]==="File")}x2.exports={isBlob:Yhn,isValidStatusCode:Zhn,isValidUTF8:Woe,tokenChars:Khn};if(oJe)x2.exports.isValidUTF8=function(e){return e.length<24?Woe(e):oJe(e)};else if(!process.env.WS_NO_UTF_8_VALIDATE)try{let e=Z("utf-8-validate");x2.exports.isValidUTF8=function(t){return t.length<32?Woe(t):e(t)}}catch{}});var Xoe=w((mWr,pJe)=>{"use 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r();this._bufferedBytes+=t.length,this._buffers.push(t),this.startLoop(r)}consume(t){if(this._bufferedBytes-=t,t===this._buffers[0].length)return this._buffers.shift();if(t<this._buffers[0].length){let r=this._buffers[0];return this._buffers[0]=new O2(r.buffer,r.byteOffset+t,r.length-t),new O2(r.buffer,r.byteOffset,t)}let n=Buffer.allocUnsafe(t);do{let r=this._buffers[0],i=n.length-t;t>=r.length?n.set(this._buffers.shift(),i):(n.set(new Uint8Array(r.buffer,r.byteOffset,t),i),this._buffers[0]=new O2(r.buffer,r.byteOffset+t,r.length-t)),t-=r.length}while(t>0);return n}startLoop(t){this._loop=!0;do switch(this._state){case Sd:this.getInfo(t);break;case lJe:this.getPayloadLength16(t);break;case dJe:this.getPayloadLength64(t);break;case fJe:this.getMask();break;case Zoe:this.getData(t);break;case Yoe:case N2:this._loop=!1;return}while(this._loop);this._errored||t()}getInfo(t){if(this._bufferedBytes<2){this._loop=!1;return}let n=this.consume(2);if((n[0]&48)!==0){let i=this.createError(RangeError,"RSV2 and RSV3 must be clear",!0,1002,"WS_ERR_UNEXPECTED_RSV_2_3");t(i);return}let r=(n[0]&64)===64;if(r&&!this._extensions[aJe.extensionName]){let i=this.createError(RangeError,"RSV1 must be clear",!0,1002,"WS_ERR_UNEXPECTED_RSV_1");t(i);return}if(this._fin=(n[0]&128)===128,this._opcode=n[0]&15,this._payloadLength=n[1]&127,this._opcode===0){if(r){let i=this.createError(RangeError,"RSV1 must be clear",!0,1002,"WS_ERR_UNEXPECTED_RSV_1");t(i);return}if(!this._fragmented){let i=this.createError(RangeError,"invalid opcode 0",!0,1002,"WS_ERR_INVALID_OPCODE");t(i);return}this._opcode=this._fragmented}else if(this._opcode===1||this._opcode===2){if(this._fragmented){let i=this.createError(RangeError,`invalid opcode ${this._opcode}`,!0,1002,"WS_ERR_INVALID_OPCODE");t(i);return}this._compressed=r}else if(this._opcode>7&&this._opcode<11){if(!this._fin){let i=this.createError(RangeError,"FIN must be set",!0,1002,"WS_ERR_EXPECTED_FIN");t(i);return}if(r){let i=this.createError(RangeError,"RSV1 must be clear",!0,1002,"WS_ERR_UNEXPECTED_RSV_1");t(i);return}if(this._payloadLength>125||this._opcode===8&&this._payloadLength===1){let i=this.createError(RangeError,`invalid payload length ${this._payloadLength}`,!0,1002,"WS_ERR_INVALID_CONTROL_PAYLOAD_LENGTH");t(i);return}}else{let i=this.createError(RangeError,`invalid opcode ${this._opcode}`,!0,1002,"WS_ERR_INVALID_OPCODE");t(i);return}if(!this._fin&&!this._fragmented&&(this._fragmented=this._opcode),this._masked=(n[1]&128)===128,this._isServer){if(!this._masked){let i=this.createError(RangeError,"MASK must be set",!0,1002,"WS_ERR_EXPECTED_MASK");t(i);return}}else if(this._masked){let i=this.createError(RangeError,"MASK must be clear",!0,1002,"WS_ERR_UNEXPECTED_MASK");t(i);return}this._payloadLength===126?this._state=lJe:this._payloadLength===127?this._state=dJe:this.haveLength(t)}getPayloadLength16(t){if(this._bufferedBytes<2){this._loop=!1;return}this._payloadLength=this.consume(2).readUInt16BE(0),this.haveLength(t)}getPayloadLength64(t){if(this._bufferedBytes<8){this._loop=!1;return}let n=this.consume(8),r=n.readUInt32BE(0);if(r>Math.pow(2,21)-1){let i=this.createError(RangeError,"Unsupported WebSocket frame: payload length > 2^53 - 1",!1,1009,"WS_ERR_UNSUPPORTED_DATA_PAYLOAD_LENGTH");t(i);return}this._payloadLength=r*Math.pow(2,32)+n.readUInt32BE(4),this.haveLength(t)}haveLength(t){if(this._payloadLength&&this._opcode<8&&(this._totalPayloadLength+=this._payloadLength,this._totalPayloadLength>this._maxPayload&&this._maxPayload>0)){let n=this.createError(RangeError,"Max payload size exceeded",!1,1009,"WS_ERR_UNSUPPORTED_MESSAGE_LENGTH");t(n);return}this._masked?this._state=fJe:this._state=Zoe}getMask(){if(this._bufferedBytes<4){this._loop=!1;return}this._mask=this.consume(4),this._state=Zoe}getData(t){let n=cJe;if(this._payloadLength){if(this._bufferedBytes<this._payloadLength){this._loop=!1;return}n=this.consume(this._payloadLength),this._masked&&(this._mask[0]|this._mask[1]|this._mask[2]|this._mask[3])!==0&&tmn(n,this._mask)}if(this._opcode>7){this.controlMessage(n,t);return}if(this._compressed){this._state=Yoe,this.decompress(n,t);return}n.length&&(this._messageLength=this._totalPayloadLength,this._fragments.push(n)),this.dataMessage(t)}decompress(t,n){this._extensions[aJe.extensionName].decompress(t,this._fin,(i,s)=>{if(i)return n(i);if(s.length){if(this._messageLength+=s.length,this._messageLength>this._maxPayload&&this._maxPayload>0){let o=this.createError(RangeError,"Max payload size exceeded",!1,1009,"WS_ERR_UNSUPPORTED_MESSAGE_LENGTH");n(o);return}this._fragments.push(s)}this.dataMessage(n),this._state===Sd&&this.startLoop(n)})}dataMessage(t){if(!this._fin){this._state=Sd;return}let n=this._messageLength,r=this._fragments;if(this._totalPayloadLength=0,this._messageLength=0,this._fragmented=0,this._fragments=[],this._opcode===2){let i;this._binaryType==="nodebuffer"?i=Koe(r,n):this._binaryType==="arraybuffer"?i=emn(Koe(r,n)):this._binaryType==="blob"?i=new Blob(r):i=r,this._allowSynchronousEvents?(this.emit("message",i,!0),this._state=Sd):(this._state=N2,setImmediate(()=>{this.emit("message",i,!0),this._state=Sd,this.startLoop(t)}))}else{let i=Koe(r,n);if(!this._skipUTF8Validation&&!uJe(i)){let s=this.createError(Error,"invalid UTF-8 sequence",!0,1007,"WS_ERR_INVALID_UTF8");t(s);return}this._state===Yoe||this._allowSynchronousEvents?(this.emit("message",i,!1),this._state=Sd):(this._state=N2,setImmediate(()=>{this.emit("message",i,!1),this._state=Sd,this.startLoop(t)}))}}controlMessage(t,n){if(this._opcode===8){if(t.length===0)this._loop=!1,this.emit("conclude",1005,cJe),this.end();else{let r=t.readUInt16BE(0);if(!nmn(r)){let s=this.createError(RangeError,`invalid status code ${r}`,!0,1002,"WS_ERR_INVALID_CLOSE_CODE");n(s);return}let i=new O2(t.buffer,t.byteOffset+2,t.length-2);if(!this._skipUTF8Validation&&!uJe(i)){let s=this.createError(Error,"invalid UTF-8 sequence",!0,1007,"WS_ERR_INVALID_UTF8");n(s);return}this._loop=!1,this.emit("conclude",r,i),this.end()}this._state=Sd;return}this._allowSynchronousEvents?(this.emit(this._opcode===9?"ping":"pong",t),this._state=Sd):(this._state=N2,setImmediate(()=>{this.emit(this._opcode===9?"ping":"pong",t),this._state=Sd,this.startLoop(n)}))}createError(t,n,r,i,s){this._loop=!1,this._errored=!0;let o=new t(r?`Invalid WebSocket frame: ${n}`:n);return Error.captureStackTrace(o,this.createError),o.code=s,o[Qhn]=i,o}};pJe.exports=Joe});var eae=w((yWr,gJe)=>{"use strict";var{Duplex:gWr}=Z("stream"),{randomFillSync:rmn}=Z("crypto"),hJe=hk(),{EMPTY_BUFFER:imn,kWebSocket:smn,NOOP:omn}=Ym(),{isBlob:gk,isValidStatusCode:amn}=mk(),{mask:mJe,toBuffer:G_}=GC(),Ed=Symbol("kByteLength"),cmn=Buffer.alloc(4),P2=8*1024,z_,yk=P2,wf=0,umn=1,lmn=2,Qoe=class e{constructor(t,n,r){this._extensions=n||{},r&&(this._generateMask=r,this._maskBuffer=Buffer.alloc(4)),this._socket=t,this._firstFragment=!0,this._compress=!1,this._bufferedBytes=0,this._queue=[],this._state=wf,this.onerror=omn,this[smn]=void 0}static frame(t,n){let r,i=!1,s=2,o=!1;n.mask&&(r=n.maskBuffer||cmn,n.generateMask?n.generateMask(r):(yk===P2&&(z_===void 0&&(z_=Buffer.alloc(P2)),rmn(z_,0,P2),yk=0),r[0]=z_[yk++],r[1]=z_[yk++],r[2]=z_[yk++],r[3]=z_[yk++]),o=(r[0]|r[1]|r[2]|r[3])===0,s=6);let a;typeof t=="string"?(!n.mask||o)&&n[Ed]!==void 0?a=n[Ed]:(t=Buffer.from(t),a=t.length):(a=t.length,i=n.mask&&n.readOnly&&!o);let c=a;a>=65536?(s+=8,c=127):a>125&&(s+=2,c=126);let u=Buffer.allocUnsafe(i?a+s:s);return u[0]=n.fin?n.opcode|128:n.opcode,n.rsv1&&(u[0]|=64),u[1]=c,c===126?u.writeUInt16BE(a,2):c===127&&(u[2]=u[3]=0,u.writeUIntBE(a,4,6)),n.mask?(u[1]|=128,u[s-4]=r[0],u[s-3]=r[1],u[s-2]=r[2],u[s-1]=r[3],o?[u,t]:i?(mJe(t,r,u,s,a),[u]):(mJe(t,r,t,0,a),[u,t])):[u,t]}close(t,n,r,i){let s;if(t===void 0)s=imn;else{if(typeof t!="number"||!amn(t))throw new TypeError("First argument must be a valid error code number");if(n===void 0||!n.length)s=Buffer.allocUnsafe(2),s.writeUInt16BE(t,0);else{let a=Buffer.byteLength(n);if(a>123)throw new RangeError("The message must not be greater than 123 bytes");s=Buffer.allocUnsafe(2+a),s.writeUInt16BE(t,0),typeof n=="string"?s.write(n,2):s.set(n,2)}}let o={[Ed]:s.length,fin:!0,generateMask:this._generateMask,mask:r,maskBuffer:this._maskBuffer,opcode:8,readOnly:!1,rsv1:!1};this._state!==wf?this.enqueue([this.dispatch,s,!1,o,i]):this.sendFrame(e.frame(s,o),i)}ping(t,n,r){let i,s;if(typeof t=="string"?(i=Buffer.byteLength(t),s=!1):gk(t)?(i=t.size,s=!1):(t=G_(t),i=t.length,s=G_.readOnly),i>125)throw new RangeError("The data size must not be greater than 125 bytes");let o={[Ed]:i,fin:!0,generateMask:this._generateMask,mask:n,maskBuffer:this._maskBuffer,opcode:9,readOnly:s,rsv1:!1};gk(t)?this._state!==wf?this.enqueue([this.getBlobData,t,!1,o,r]):this.getBlobData(t,!1,o,r):this._state!==wf?this.enqueue([this.dispatch,t,!1,o,r]):this.sendFrame(e.frame(t,o),r)}pong(t,n,r){let i,s;if(typeof t=="string"?(i=Buffer.byteLength(t),s=!1):gk(t)?(i=t.size,s=!1):(t=G_(t),i=t.length,s=G_.readOnly),i>125)throw new RangeError("The data size must not be greater than 125 bytes");let o={[Ed]:i,fin:!0,generateMask:this._generateMask,mask:n,maskBuffer:this._maskBuffer,opcode:10,readOnly:s,rsv1:!1};gk(t)?this._state!==wf?this.enqueue([this.getBlobData,t,!1,o,r]):this.getBlobData(t,!1,o,r):this._state!==wf?this.enqueue([this.dispatch,t,!1,o,r]):this.sendFrame(e.frame(t,o),r)}send(t,n,r){let i=this._extensions[hJe.extensionName],s=n.binary?2:1,o=n.compress,a,c;typeof t=="string"?(a=Buffer.byteLength(t),c=!1):gk(t)?(a=t.size,c=!1):(t=G_(t),a=t.length,c=G_.readOnly),this._firstFragment?(this._firstFragment=!1,o&&i&&i.params[i._isServer?"server_no_context_takeover":"client_no_context_takeover"]&&(o=a>=i._threshold),this._compress=o):(o=!1,s=0),n.fin&&(this._firstFragment=!0);let u={[Ed]:a,fin:n.fin,generateMask:this._generateMask,mask:n.mask,maskBuffer:this._maskBuffer,opcode:s,readOnly:c,rsv1:o};gk(t)?this._state!==wf?this.enqueue([this.getBlobData,t,this._compress,u,r]):this.getBlobData(t,this._compress,u,r):this._state!==wf?this.enqueue([this.dispatch,t,this._compress,u,r]):this.dispatch(t,this._compress,u,r)}getBlobData(t,n,r,i){this._bufferedBytes+=r[Ed],this._state=lmn,t.arrayBuffer().then(s=>{if(this._socket.destroyed){let a=new Error("The socket was closed while the blob was being read");process.nextTick($oe,this,a,i);return}this._bufferedBytes-=r[Ed];let o=G_(s);n?this.dispatch(o,n,r,i):(this._state=wf,this.sendFrame(e.frame(o,r),i),this.dequeue())}).catch(s=>{process.nextTick(dmn,this,s,i)})}dispatch(t,n,r,i){if(!n){this.sendFrame(e.frame(t,r),i);return}let s=this._extensions[hJe.extensionName];this._bufferedBytes+=r[Ed],this._state=umn,s.compress(t,r.fin,(o,a)=>{if(this._socket.destroyed){let c=new Error("The socket was closed while data was being compressed");$oe(this,c,i);return}this._bufferedBytes-=r[Ed],this._state=wf,r.readOnly=!1,this.sendFrame(e.frame(a,r),i),this.dequeue()})}dequeue(){for(;this._state===wf&&this._queue.length;){let t=this._queue.shift();this._bufferedBytes-=t[3][Ed],Reflect.apply(t[0],this,t.slice(1))}}enqueue(t){this._bufferedBytes+=t[3][Ed],this._queue.push(t)}sendFrame(t,n){t.length===2?(this._socket.cork(),this._socket.write(t[0]),this._socket.write(t[1],n),this._socket.uncork()):this._socket.write(t[0],n)}};gJe.exports=Qoe;function $oe(e,t,n){typeof n=="function"&&n(t);for(let r=0;r<e._queue.length;r++){let i=e._queue[r],s=i[i.length-1];typeof s=="function"&&s(t)}}function dmn(e,t,n){$oe(e,t,n),e.onerror(t)}});var RJe=w((SWr,AJe)=>{"use strict";var{kForOnEventAttribute:VC,kListener:tae}=Ym(),yJe=Symbol("kCode"),SJe=Symbol("kData"),EJe=Symbol("kError"),bJe=Symbol("kMessage"),_Je=Symbol("kReason"),Sk=Symbol("kTarget"),TJe=Symbol("kType"),vJe=Symbol("kWasClean"),Xm=class{constructor(t){this[Sk]=null,this[TJe]=t}get target(){return this[Sk]}get type(){return this[TJe]}};Object.defineProperty(Xm.prototype,"target",{enumerable:!0});Object.defineProperty(Xm.prototype,"type",{enumerable:!0});var V_=class extends Xm{constructor(t,n={}){super(t),this[yJe]=n.code===void 0?0:n.code,this[_Je]=n.reason===void 0?"":n.reason,this[vJe]=n.wasClean===void 0?!1:n.wasClean}get code(){return this[yJe]}get reason(){return this[_Je]}get wasClean(){return this[vJe]}};Object.defineProperty(V_.prototype,"code",{enumerable:!0});Object.defineProperty(V_.prototype,"reason",{enumerable:!0});Object.defineProperty(V_.prototype,"wasClean",{enumerable:!0});var Ek=class extends Xm{constructor(t,n={}){super(t),this[EJe]=n.error===void 0?null:n.error,this[bJe]=n.message===void 0?"":n.message}get error(){return this[EJe]}get message(){return this[bJe]}};Object.defineProperty(Ek.prototype,"error",{enumerable:!0});Object.defineProperty(Ek.prototype,"message",{enumerable:!0});var WC=class extends Xm{constructor(t,n={}){super(t),this[SJe]=n.data===void 0?null:n.data}get data(){return this[SJe]}};Object.defineProperty(WC.prototype,"data",{enumerable:!0});var fmn={addEventListener(e,t,n={}){for(let i of this.listeners(e))if(!n[VC]&&i[tae]===t&&!i[VC])return;let r;if(e==="message")r=function(s,o){let a=new WC("message",{data:o?s:s.toString()});a[Sk]=this,C2(t,this,a)};else if(e==="close")r=function(s,o){let a=new V_("close",{code:s,reason:o.toString(),wasClean:this._closeFrameReceived&&this._closeFrameSent});a[Sk]=this,C2(t,this,a)};else if(e==="error")r=function(s){let o=new Ek("error",{error:s,message:s.message});o[Sk]=this,C2(t,this,o)};else if(e==="open")r=function(){let s=new Xm("open");s[Sk]=this,C2(t,this,s)};else return;r[VC]=!!n[VC],r[tae]=t,n.once?this.once(e,r):this.on(e,r)},removeEventListener(e,t){for(let n of this.listeners(e))if(n[tae]===t&&!n[VC]){this.removeListener(e,n);break}}};AJe.exports={CloseEvent:V_,ErrorEvent:Ek,Event:Xm,EventTarget:fmn,MessageEvent:WC};function C2(e,t,n){typeof e=="object"&&e.handleEvent?e.handleEvent.call(e,n):e.call(t,n)}});var M2=w((EWr,wJe)=>{"use strict";var{tokenChars:KC}=mk();function Sh(e,t,n){e[t]===void 0?e[t]=[n]:e[t].push(n)}function pmn(e){let t=Object.create(null),n=Object.create(null),r=!1,i=!1,s=!1,o,a,c=-1,u=-1,l=-1,d=0;for(;d<e.length;d++)if(u=e.charCodeAt(d),o===void 0)if(l===-1&&KC[u]===1)c===-1&&(c=d);else if(d!==0&&(u===32||u===9))l===-1&&c!==-1&&(l=d);else if(u===59||u===44){if(c===-1)throw new SyntaxError(`Unexpected character at index ${d}`);l===-1&&(l=d);let p=e.slice(c,l);u===44?(Sh(t,p,n),n=Object.create(null)):o=p,c=l=-1}else throw new SyntaxError(`Unexpected character at index ${d}`);else if(a===void 0)if(l===-1&&KC[u]===1)c===-1&&(c=d);else if(u===32||u===9)l===-1&&c!==-1&&(l=d);else if(u===59||u===44){if(c===-1)throw new SyntaxError(`Unexpected character at index ${d}`);l===-1&&(l=d),Sh(n,e.slice(c,l),!0),u===44&&(Sh(t,o,n),n=Object.create(null),o=void 0),c=l=-1}else if(u===61&&c!==-1&&l===-1)a=e.slice(c,d),c=l=-1;else throw new SyntaxError(`Unexpected character at index ${d}`);else if(i){if(KC[u]!==1)throw new SyntaxError(`Unexpected character at index ${d}`);c===-1?c=d:r||(r=!0),i=!1}else if(s)if(KC[u]===1)c===-1&&(c=d);else if(u===34&&c!==-1)s=!1,l=d;else if(u===92)i=!0;else throw new SyntaxError(`Unexpected character at index ${d}`);else if(u===34&&e.charCodeAt(d-1)===61)s=!0;else if(l===-1&&KC[u]===1)c===-1&&(c=d);else if(c!==-1&&(u===32||u===9))l===-1&&(l=d);else if(u===59||u===44){if(c===-1)throw new SyntaxError(`Unexpected character at index ${d}`);l===-1&&(l=d);let p=e.slice(c,l);r&&(p=p.replace(/\\/g,""),r=!1),Sh(n,a,p),u===44&&(Sh(t,o,n),n=Object.create(null),o=void 0),a=void 0,c=l=-1}else throw new SyntaxError(`Unexpected character at index ${d}`);if(c===-1||s||u===32||u===9)throw new SyntaxError("Unexpected end of input");l===-1&&(l=d);let f=e.slice(c,l);return o===void 0?Sh(t,f,n):(a===void 0?Sh(n,f,!0):r?Sh(n,a,f.replace(/\\/g,"")):Sh(n,a,f),Sh(t,o,n)),t}function hmn(e){return Object.keys(e).map(t=>{let n=e[t];return Array.isArray(n)||(n=[n]),n.map(r=>[t].concat(Object.keys(r).map(i=>{let s=r[i];return Array.isArray(s)||(s=[s]),s.map(o=>o===!0?i:`${i}=${o}`).join("; ")})).join("; ")).join(", ")}).join(", ")}wJe.exports={format:hmn,parse:pmn}});var F2=w((TWr,FJe)=>{"use strict";var mmn=Z("events"),gmn=Z("https"),ymn=Z("http"),xJe=Z("net"),Smn=Z("tls"),{randomBytes:Emn,createHash:bmn}=Z("crypto"),{Duplex:bWr,Readable:_Wr}=Z("stream"),{URL:nae}=Z("url"),jS=hk(),_mn=Xoe(),Tmn=eae(),{isBlob:vmn}=mk(),{BINARY_TYPES:kJe,CLOSE_TIMEOUT:Amn,EMPTY_BUFFER:D2,GUID:Rmn,kForOnEventAttribute:rae,kListener:wmn,kStatusCode:kmn,kWebSocket:Wo,NOOP:OJe}=Ym(),{EventTarget:{addEventListener:Imn,removeEventListener:xmn}}=RJe(),{format:Omn,parse:Nmn}=M2(),{toBuffer:Pmn}=GC(),NJe=Symbol("kAborted"),iae=[8,13],Qm=["CONNECTING","OPEN","CLOSING","CLOSED"],Cmn=/^[!#$%&'*+\-.0-9A-Z^_`|a-z~]+$/,Fi=class e extends mmn{constructor(t,n,r){super(),this._binaryType=kJe[0],this._closeCode=1006,this._closeFrameReceived=!1,this._closeFrameSent=!1,this._closeMessage=D2,this._closeTimer=null,this._errorEmitted=!1,this._extensions={},this._paused=!1,this._protocol="",this._readyState=e.CONNECTING,this._receiver=null,this._sender=null,this._socket=null,t!==null?(this._bufferedAmount=0,this._isServer=!1,this._redirects=0,n===void 0?n=[]:Array.isArray(n)||(typeof n=="object"&&n!==null?(r=n,n=[]):n=[n]),PJe(this,t,n,r)):(this._autoPong=r.autoPong,this._closeTimeout=r.closeTimeout,this._isServer=!0)}get binaryType(){return this._binaryType}set binaryType(t){kJe.includes(t)&&(this._binaryType=t,this._receiver&&(this._receiver._binaryType=t))}get bufferedAmount(){return this._socket?this._socket._writableState.length+this._sender._bufferedBytes:this._bufferedAmount}get extensions(){return Object.keys(this._extensions).join()}get isPaused(){return this._paused}get onclose(){return null}get onerror(){return null}get onopen(){return null}get onmessage(){return null}get protocol(){return this._protocol}get readyState(){return this._readyState}get url(){return this._url}setSocket(t,n,r){let i=new _mn({allowSynchronousEvents:r.allowSynchronousEvents,binaryType:this.binaryType,extensions:this._extensions,isServer:this._isServer,maxPayload:r.maxPayload,skipUTF8Validation:r.skipUTF8Validation}),s=new Tmn(t,this._extensions,r.generateMask);this._receiver=i,this._sender=s,this._socket=t,i[Wo]=this,s[Wo]=this,t[Wo]=this,i.on("conclude",Lmn),i.on("drain",Umn),i.on("error",Fmn),i.on("message",jmn),i.on("ping",Hmn),i.on("pong",qmn),s.onerror=Bmn,t.setTimeout&&t.setTimeout(0),t.setNoDelay&&t.setNoDelay(),n.length>0&&t.unshift(n),t.on("close",DJe),t.on("data",U2),t.on("end",LJe),t.on("error",UJe),this._readyState=e.OPEN,this.emit("open")}emitClose(){if(!this._socket){this._readyState=e.CLOSED,this.emit("close",this._closeCode,this._closeMessage);return}this._extensions[jS.extensionName]&&this._extensions[jS.extensionName].cleanup(),this._receiver.removeAllListeners(),this._readyState=e.CLOSED,this.emit("close",this._closeCode,this._closeMessage)}close(t,n){if(this.readyState!==e.CLOSED){if(this.readyState===e.CONNECTING){gl(this,this._req,"WebSocket was closed before the connection was established");return}if(this.readyState===e.CLOSING){this._closeFrameSent&&(this._closeFrameReceived||this._receiver._writableState.errorEmitted)&&this._socket.end();return}this._readyState=e.CLOSING,this._sender.close(t,n,!this._isServer,r=>{r||(this._closeFrameSent=!0,(this._closeFrameReceived||this._receiver._writableState.errorEmitted)&&this._socket.end())}),MJe(this)}}pause(){this.readyState===e.CONNECTING||this.readyState===e.CLOSED||(this._paused=!0,this._socket.pause())}ping(t,n,r){if(this.readyState===e.CONNECTING)throw new Error("WebSocket is not open: readyState 0 (CONNECTING)");if(typeof t=="function"?(r=t,t=n=void 0):typeof n=="function"&&(r=n,n=void 0),typeof t=="number"&&(t=t.toString()),this.readyState!==e.OPEN){sae(this,t,r);return}n===void 0&&(n=!this._isServer),this._sender.ping(t||D2,n,r)}pong(t,n,r){if(this.readyState===e.CONNECTING)throw new Error("WebSocket is not open: readyState 0 (CONNECTING)");if(typeof t=="function"?(r=t,t=n=void 0):typeof n=="function"&&(r=n,n=void 0),typeof t=="number"&&(t=t.toString()),this.readyState!==e.OPEN){sae(this,t,r);return}n===void 0&&(n=!this._isServer),this._sender.pong(t||D2,n,r)}resume(){this.readyState===e.CONNECTING||this.readyState===e.CLOSED||(this._paused=!1,this._receiver._writableState.needDrain||this._socket.resume())}send(t,n,r){if(this.readyState===e.CONNECTING)throw new Error("WebSocket is not open: readyState 0 (CONNECTING)");if(typeof n=="function"&&(r=n,n={}),typeof t=="number"&&(t=t.toString()),this.readyState!==e.OPEN){sae(this,t,r);return}let i={binary:typeof t!="string",mask:!this._isServer,compress:!0,fin:!0,...n};this._extensions[jS.extensionName]||(i.compress=!1),this._sender.send(t||D2,i,r)}terminate(){if(this.readyState!==e.CLOSED){if(this.readyState===e.CONNECTING){gl(this,this._req,"WebSocket was closed before the connection was established");return}this._socket&&(this._readyState=e.CLOSING,this._socket.destroy())}}};Object.defineProperty(Fi,"CONNECTING",{enumerable:!0,value:Qm.indexOf("CONNECTING")});Object.defineProperty(Fi.prototype,"CONNECTING",{enumerable:!0,value:Qm.indexOf("CONNECTING")});Object.defineProperty(Fi,"OPEN",{enumerable:!0,value:Qm.indexOf("OPEN")});Object.defineProperty(Fi.prototype,"OPEN",{enumerable:!0,value:Qm.indexOf("OPEN")});Object.defineProperty(Fi,"CLOSING",{enumerable:!0,value:Qm.indexOf("CLOSING")});Object.defineProperty(Fi.prototype,"CLOSING",{enumerable:!0,value:Qm.indexOf("CLOSING")});Object.defineProperty(Fi,"CLOSED",{enumerable:!0,value:Qm.indexOf("CLOSED")});Object.defineProperty(Fi.prototype,"CLOSED",{enumerable:!0,value:Qm.indexOf("CLOSED")});["binaryType","bufferedAmount","extensions","isPaused","protocol","readyState","url"].forEach(e=>{Object.defineProperty(Fi.prototype,e,{enumerable:!0})});["open","error","close","message"].forEach(e=>{Object.defineProperty(Fi.prototype,`on${e}`,{enumerable:!0,get(){for(let t of this.listeners(e))if(t[rae])return t[wmn];return null},set(t){for(let n of this.listeners(e))if(n[rae]){this.removeListener(e,n);break}typeof t=="function"&&this.addEventListener(e,t,{[rae]:!0})}})});Fi.prototype.addEventListener=Imn;Fi.prototype.removeEventListener=xmn;FJe.exports=Fi;function PJe(e,t,n,r){let i={allowSynchronousEvents:!0,autoPong:!0,closeTimeout:Amn,protocolVersion:iae[1],maxPayload:104857600,skipUTF8Validation:!1,perMessageDeflate:!0,followRedirects:!1,maxRedirects:10,...r,socketPath:void 0,hostname:void 0,protocol:void 0,timeout:void 0,method:"GET",host:void 0,path:void 0,port:void 0};if(e._autoPong=i.autoPong,e._closeTimeout=i.closeTimeout,!iae.includes(i.protocolVersion))throw new RangeError(`Unsupported protocol version: ${i.protocolVersion} (supported versions: ${iae.join(", ")})`);let s;if(t instanceof nae)s=t;else try{s=new nae(t)}catch{throw new SyntaxError(`Invalid URL: ${t}`)}s.protocol==="http:"?s.protocol="ws:":s.protocol==="https:"&&(s.protocol="wss:"),e._url=s.href;let o=s.protocol==="wss:",a=s.protocol==="ws+unix:",c;if(s.protocol!=="ws:"&&!o&&!a?c=`The URL's protocol must be one of "ws:", "wss:", "http:", "https:", or "ws+unix:"`:a&&!s.pathname?c="The URL's pathname is empty":s.hash&&(c="The URL contains a fragment identifier"),c){let m=new SyntaxError(c);if(e._redirects===0)throw m;L2(e,m);return}let u=o?443:80,l=Emn(16).toString("base64"),d=o?gmn.request:ymn.request,f=new Set,p;if(i.createConnection=i.createConnection||(o?Dmn:Mmn),i.defaultPort=i.defaultPort||u,i.port=s.port||u,i.host=s.hostname.startsWith("[")?s.hostname.slice(1,-1):s.hostname,i.headers={...i.headers,"Sec-WebSocket-Version":i.protocolVersion,"Sec-WebSocket-Key":l,Connection:"Upgrade",Upgrade:"websocket"},i.path=s.pathname+s.search,i.timeout=i.handshakeTimeout,i.perMessageDeflate&&(p=new jS({...i.perMessageDeflate,isServer:!1,maxPayload:i.maxPayload}),i.headers["Sec-WebSocket-Extensions"]=Omn({[jS.extensionName]:p.offer()})),n.length){for(let m of n){if(typeof m!="string"||!Cmn.test(m)||f.has(m))throw new SyntaxError("An invalid or duplicated subprotocol was specified");f.add(m)}i.headers["Sec-WebSocket-Protocol"]=n.join(",")}if(i.origin&&(i.protocolVersion<13?i.headers["Sec-WebSocket-Origin"]=i.origin:i.headers.Origin=i.origin),(s.username||s.password)&&(i.auth=`${s.username}:${s.password}`),a){let m=i.path.split(":");i.socketPath=m[0],i.path=m[1]}let h;if(i.followRedirects){if(e._redirects===0){e._originalIpc=a,e._originalSecure=o,e._originalHostOrSocketPath=a?i.socketPath:s.host;let m=r&&r.headers;if(r={...r,headers:{}},m)for(let[y,g]of Object.entries(m))r.headers[y.toLowerCase()]=g}else if(e.listenerCount("redirect")===0){let m=a?e._originalIpc?i.socketPath===e._originalHostOrSocketPath:!1:e._originalIpc?!1:s.host===e._originalHostOrSocketPath;(!m||e._originalSecure&&!o)&&(delete i.headers.authorization,delete i.headers.cookie,m||delete i.headers.host,i.auth=void 0)}i.auth&&!r.headers.authorization&&(r.headers.authorization="Basic "+Buffer.from(i.auth).toString("base64")),h=e._req=d(i),e._redirects&&e.emit("redirect",e.url,h)}else h=e._req=d(i);i.timeout&&h.on("timeout",()=>{gl(e,h,"Opening handshake has timed out")}),h.on("error",m=>{h===null||h[NJe]||(h=e._req=null,L2(e,m))}),h.on("response",m=>{let y=m.headers.location,g=m.statusCode;if(y&&i.followRedirects&&g>=300&&g<400){if(++e._redirects>i.maxRedirects){gl(e,h,"Maximum redirects exceeded");return}h.abort();let E;try{E=new nae(y,t)}catch{let b=new SyntaxError(`Invalid URL: ${y}`);L2(e,b);return}PJe(e,E,n,r)}else e.emit("unexpected-response",h,m)||gl(e,h,`Unexpected server response: ${m.statusCode}`)}),h.on("upgrade",(m,y,g)=>{if(e.emit("upgrade",m),e.readyState!==Fi.CONNECTING)return;h=e._req=null;let E=m.headers.upgrade;if(E===void 0||E.toLowerCase()!=="websocket"){gl(e,y,"Invalid Upgrade header");return}let S=bmn("sha1").update(l+Rmn).digest("base64");if(m.headers["sec-websocket-accept"]!==S){gl(e,y,"Invalid Sec-WebSocket-Accept header");return}let b=m.headers["sec-websocket-protocol"],_;if(b!==void 0?f.size?f.has(b)||(_="Server sent an invalid subprotocol"):_="Server sent a subprotocol but none was requested":f.size&&(_="Server sent no subprotocol"),_){gl(e,y,_);return}b&&(e._protocol=b);let T=m.headers["sec-websocket-extensions"];if(T!==void 0){if(!p){gl(e,y,"Server sent a Sec-WebSocket-Extensions header but no extension was requested");return}let A;try{A=Nmn(T)}catch{gl(e,y,"Invalid Sec-WebSocket-Extensions header");return}let R=Object.keys(A);if(R.length!==1||R[0]!==jS.extensionName){gl(e,y,"Server indicated an extension that was not 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r=vmn(t)?t.size:Pmn(t).length;e._socket?e._sender._bufferedBytes+=r:e._bufferedAmount+=r}if(n){let r=new Error(`WebSocket is not open: readyState ${e.readyState} (${Qm[e.readyState]})`);process.nextTick(n,r)}}function Lmn(e,t){let n=this[Wo];n._closeFrameReceived=!0,n._closeMessage=t,n._closeCode=e,n._socket[Wo]!==void 0&&(n._socket.removeListener("data",U2),process.nextTick(CJe,n._socket),e===1005?n.close():n.close(e,t))}function Umn(){let e=this[Wo];e.isPaused||e._socket.resume()}function Fmn(e){let t=this[Wo];t._socket[Wo]!==void 0&&(t._socket.removeListener("data",U2),process.nextTick(CJe,t._socket),t.close(e[kmn])),t._errorEmitted||(t._errorEmitted=!0,t.emit("error",e))}function IJe(){this[Wo].emitClose()}function jmn(e,t){this[Wo].emit("message",e,t)}function Hmn(e){let t=this[Wo];t._autoPong&&t.pong(e,!this._isServer,OJe),t.emit("ping",e)}function qmn(e){this[Wo].emit("pong",e)}function CJe(e){e.resume()}function Bmn(e){let 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t.timeWindow=="function"?n.timeWindow=t.timeWindow:n.timeWindow=t7e,n.hook=t.hook||Zhn,n.allowList=t.allowList||t.whitelist||null,n.ban=Number.isFinite(t.ban)&&t.ban>=0?Math.trunc(t.ban):-1,n.onBanReach=typeof t.onBanReach=="function"?t.onBanReach:Qoe,n.onExceeding=typeof t.onExceeding=="function"?t.onExceeding:Qoe,n.onExceeded=typeof t.onExceeded=="function"?t.onExceeded:Qoe,n.continueExceeding=typeof t.continueExceeding=="boolean"?t.continueExceeding:!1,n.exponentialBackoff=typeof t.exponentialBackoff=="boolean"?t.exponentialBackoff:!1,n.keyGenerator=typeof t.keyGenerator=="function"?t.keyGenerator:Qhn,typeof t.errorResponseBuilder=="function"?(n.errorResponseBuilder=t.errorResponseBuilder,n.isCustomErrorMessage=!0):(n.errorResponseBuilder=$hn,n.isCustomErrorMessage=!1),n.skipOnError=typeof t.skipOnError=="boolean"?t.skipOnError:!1;let r={rateLimitRan:Symbol("fastify.request.rateLimitRan"),store:null};if(t.store){let i=t.store;r.store=new i(n)}else t.redis?r.store=new Yhn(n.continueExceeding,n.exponentialBackoff,t.redis,t.nameSpace):r.store=new Khn(n.continueExceeding,n.exponentialBackoff,t.cache);e.decorateRequest(r.rateLimitRan,!1),e.hasDecorator("createRateLimit")||e.decorate("createRateLimit",i=>{let s=X8e(r,n,i);return o=>r7e.apply(this,s.concat(o))}),e.hasDecorator("rateLimit")||e.decorate("rateLimit",i=>{let s=X8e(r,n,i);return i7e(...s)}),e.addHook("onRoute",i=>{if(i.config?.rateLimit!=null){if(typeof i.config.rateLimit=="object"){let s=Object.create(r),o=n7e(n,i.config.rateLimit,{routeInfo:i});s.store=r.store.child(o),Q8e(s,o,i)}else if(i.config.rateLimit!==!1)throw new Error("Unknown value for route rate-limit configuration")}else n.global&&Q8e(r,n,i)})}function n7e(...e){let t=Object.assign({},...e);if(Number.isFinite(t.timeWindow)&&t.timeWindow>=0?t.timeWindow=Math.trunc(t.timeWindow):typeof t.timeWindow=="string"?t.timeWindow=$8e(t.timeWindow):typeof t.timeWindow!="function"&&(t.timeWindow=t7e),Number.isFinite(t.max)&&t.max>=0?t.max=Math.trunc(t.max):typeof t.max!="function"&&(t.max=e7e),Number.isFinite(t.ban)&&t.ban>=0?t.ban=Math.trunc(t.ban):t.ban=-1,t.groupId!==void 0&&typeof t.groupId!="string")throw new Error("groupId must be a string");return t}function X8e(e,t,n){if(typeof n=="object"){let r=Object.create(e),i=n7e(t,n,{routeInfo:{}});return r.store=r.store.child(i),[r,i]}return[e,t]}function Q8e(e,t,n){let r=t.hook,i=i7e(e,t);Array.isArray(n[r])?n[r].push(i):typeof n[r]=="function"?n[r]=[n[r],i]:n[r]=[i]}async function r7e(e,t,n){let{store:r}=e,i=await t.keyGenerator(n),s=n.routeOptions.config?.rateLimit?.groupId;if(s&&(i+=s),t.allowList){if(typeof t.allowList=="function"){if(await t.allowList(n,i))return{isAllowed:!0,key:i}}else if(t.allowList.indexOf(i)!==-1)return{isAllowed:!0,key:i}}let o=typeof t.max=="number"?t.max:await t.max(n,i),a=typeof t.timeWindow=="number"?t.timeWindow:await t.timeWindow(n,i),c=0,u=0,l=0;try{let d=await new Promise((f,p)=>{r.incr(i,(h,m)=>{h?p(h):f(m)},a,o)});c=d.current,u=d.ttl,l=Math.ceil(d.ttl/1e3)}catch(d){if(!t.skipOnError)throw d}return{isAllowed:!1,key:i,max:o,timeWindow:a,remaining:Math.max(0,o-c),ttl:u,ttlInSeconds:l,isExceeded:c>o,isBanned:t.ban!==-1&&c-o>t.ban}}function i7e(e,t){let{rateLimitRan:n}=e;return async(r,i)=>{if(r[n])return;r[n]=!0;let s=await r7e(e,t,r);if(s.isAllowed)return;let{key:o,max:a,remaining:c,ttl:u,ttlInSeconds:l,isExceeded:d,isBanned:f}=s;if(!d){t.addHeadersOnExceeding[t.labels.rateLimit]&&i.header(t.labels.rateLimit,a),t.addHeadersOnExceeding[t.labels.rateRemaining]&&i.header(t.labels.rateRemaining,c),t.addHeadersOnExceeding[t.labels.rateReset]&&i.header(t.labels.rateReset,l),t.onExceeding(r,o);return}t.onExceeded(r,o),t.addHeaders[t.labels.rateLimit]&&i.header(t.labels.rateLimit,a),t.addHeaders[t.labels.rateRemaining]&&i.header(t.labels.rateRemaining,0),t.addHeaders[t.labels.rateReset]&&i.header(t.labels.rateReset,l),t.addHeaders[t.labels.retryAfter]&&i.header(t.labels.retryAfter,l);let p={statusCode:429,ban:!1,max:a,ttl:u,after:Whn(l*1e3,!0)};throw f&&(p.statusCode=403,p.ban=!0,t.onBanReach(r,o)),t.errorResponseBuilder(r,p)}}FV.exports=Vhn($oe,{fastify:"5.x",name:"@fastify/rate-limit"});FV.exports.default=$oe;FV.exports.fastifyRateLimit=$oe});var Jm=w((WWr,c7e)=>{"use strict";var o7e=["nodebuffer","arraybuffer","fragments"],a7e=typeof Blob<"u";a7e&&o7e.push("blob");c7e.exports={BINARY_TYPES:o7e,CLOSE_TIMEOUT:3e4,EMPTY_BUFFER:Buffer.alloc(0),GUID:"258EAFA5-E914-47DA-95CA-C5AB0DC85B11",hasBlob:a7e,kForOnEventAttribute:Symbol("kIsForOnEventAttribute"),kListener:Symbol("kListener"),kStatusCode:Symbol("status-code"),kWebSocket:Symbol("websocket"),NOOP:()=>{}}});var JC=w((KWr,jV)=>{"use strict";var{EMPTY_BUFFER:emn}=Jm(),eae=Buffer[Symbol.species];function tmn(e,t){if(e.length===0)return emn;if(e.length===1)return e[0];let n=Buffer.allocUnsafe(t),r=0;for(let i=0;i<e.length;i++){let s=e[i];n.set(s,r),r+=s.length}return r<t?new eae(n.buffer,n.byteOffset,r):n}function u7e(e,t,n,r,i){for(let s=0;s<i;s++)n[r+s]=e[s]^t[s&3]}function l7e(e,t){for(let n=0;n<e.length;n++)e[n]^=t[n&3]}function nmn(e){return e.length===e.buffer.byteLength?e.buffer:e.buffer.slice(e.byteOffset,e.byteOffset+e.length)}function tae(e){if(tae.readOnly=!0,Buffer.isBuffer(e))return e;let t;return e instanceof ArrayBuffer?t=new eae(e):ArrayBuffer.isView(e)?t=new eae(e.buffer,e.byteOffset,e.byteLength):(t=Buffer.from(e),tae.readOnly=!1),t}jV.exports={concat:tmn,mask:u7e,toArrayBuffer:nmn,toBuffer:tae,unmask:l7e};if(!process.env.WS_NO_BUFFER_UTIL)try{let e=K("bufferutil");jV.exports.mask=function(t,n,r,i,s){s<48?u7e(t,n,r,i,s):e.mask(t,n,r,i,s)},jV.exports.unmask=function(t,n){t.length<32?l7e(t,n):e.unmask(t,n)}}catch{}});var p7e=w((YWr,f7e)=>{"use strict";var d7e=Symbol("kDone"),nae=Symbol("kRun"),rae=class{constructor(t){this[d7e]=()=>{this.pending--,this[nae]()},this.concurrency=t||1/0,this.jobs=[],this.pending=0}add(t){this.jobs.push(t),this[nae]()}[nae](){if(this.pending!==this.concurrency&&this.jobs.length){let t=this.jobs.shift();this.pending++,t(this[d7e])}}};f7e.exports=rae});var gk=w((ZWr,y7e)=>{"use strict";var XC=K("zlib"),h7e=JC(),rmn=p7e(),{kStatusCode:m7e}=Jm(),imn=Buffer[Symbol.species],smn=Buffer.from([0,0,255,255]),qV=Symbol("permessage-deflate"),Xm=Symbol("total-length"),hk=Symbol("callback"),HS=Symbol("buffers"),mk=Symbol("error"),HV,iae=class{constructor(t){if(this._options=t||{},this._threshold=this._options.threshold!==void 0?this._options.threshold:1024,this._maxPayload=this._options.maxPayload|0,this._isServer=!!this._options.isServer,this._deflate=null,this._inflate=null,this.params=null,!HV){let n=this._options.concurrencyLimit!==void 0?this._options.concurrencyLimit:10;HV=new rmn(n)}}static get extensionName(){return"permessage-deflate"}offer(){let t={};return this._options.serverNoContextTakeover&&(t.server_no_context_takeover=!0),this._options.clientNoContextTakeover&&(t.client_no_context_takeover=!0),this._options.serverMaxWindowBits&&(t.server_max_window_bits=this._options.serverMaxWindowBits),this._options.clientMaxWindowBits?t.client_max_window_bits=this._options.clientMaxWindowBits:this._options.clientMaxWindowBits==null&&(t.client_max_window_bits=!0),t}accept(t){return t=this.normalizeParams(t),this.params=this._isServer?this.acceptAsServer(t):this.acceptAsClient(t),this.params}cleanup(){if(this._inflate&&(this._inflate.close(),this._inflate=null),this._deflate){let t=this._deflate[hk];this._deflate.close(),this._deflate=null,t&&t(new Error("The deflate stream was closed while data was being processed"))}}acceptAsServer(t){let n=this._options,r=t.find(i=>!(n.serverNoContextTakeover===!1&&i.server_no_context_takeover||i.server_max_window_bits&&(n.serverMaxWindowBits===!1||typeof n.serverMaxWindowBits=="number"&&n.serverMaxWindowBits>i.server_max_window_bits)||typeof n.clientMaxWindowBits=="number"&&!i.client_max_window_bits));if(!r)throw new Error("None of the extension offers can be accepted");return n.serverNoContextTakeover&&(r.server_no_context_takeover=!0),n.clientNoContextTakeover&&(r.client_no_context_takeover=!0),typeof n.serverMaxWindowBits=="number"&&(r.server_max_window_bits=n.serverMaxWindowBits),typeof n.clientMaxWindowBits=="number"?r.client_max_window_bits=n.clientMaxWindowBits:(r.client_max_window_bits===!0||n.clientMaxWindowBits===!1)&&delete r.client_max_window_bits,r}acceptAsClient(t){let n=t[0];if(this._options.clientNoContextTakeover===!1&&n.client_no_context_takeover)throw new Error('Unexpected parameter "client_no_context_takeover"');if(!n.client_max_window_bits)typeof this._options.clientMaxWindowBits=="number"&&(n.client_max_window_bits=this._options.clientMaxWindowBits);else if(this._options.clientMaxWindowBits===!1||typeof this._options.clientMaxWindowBits=="number"&&n.client_max_window_bits>this._options.clientMaxWindowBits)throw new Error('Unexpected or invalid parameter "client_max_window_bits"');return n}normalizeParams(t){return t.forEach(n=>{Object.keys(n).forEach(r=>{let i=n[r];if(i.length>1)throw new Error(`Parameter "${r}" must have only a single value`);if(i=i[0],r==="client_max_window_bits"){if(i!==!0){let s=+i;if(!Number.isInteger(s)||s<8||s>15)throw new TypeError(`Invalid value for parameter "${r}": ${i}`);i=s}else if(!this._isServer)throw new TypeError(`Invalid value for parameter "${r}": ${i}`)}else if(r==="server_max_window_bits"){let s=+i;if(!Number.isInteger(s)||s<8||s>15)throw new TypeError(`Invalid value for parameter "${r}": ${i}`);i=s}else if(r==="client_no_context_takeover"||r==="server_no_context_takeover"){if(i!==!0)throw new TypeError(`Invalid value for parameter "${r}": ${i}`)}else throw new Error(`Unknown parameter "${r}"`);n[r]=i})}),t}decompress(t,n,r){HV.add(i=>{this._decompress(t,n,(s,o)=>{i(),r(s,o)})})}compress(t,n,r){HV.add(i=>{this._compress(t,n,(s,o)=>{i(),r(s,o)})})}_decompress(t,n,r){let i=this._isServer?"client":"server";if(!this._inflate){let s=`${i}_max_window_bits`,o=typeof this.params[s]!="number"?XC.Z_DEFAULT_WINDOWBITS:this.params[s];this._inflate=XC.createInflateRaw({...this._options.zlibInflateOptions,windowBits:o}),this._inflate[qV]=this,this._inflate[Xm]=0,this._inflate[HS]=[],this._inflate.on("error",amn),this._inflate.on("data",g7e)}this._inflate[hk]=r,this._inflate.write(t),n&&this._inflate.write(smn),this._inflate.flush(()=>{let s=this._inflate[mk];if(s){this._inflate.close(),this._inflate=null,r(s);return}let o=h7e.concat(this._inflate[HS],this._inflate[Xm]);this._inflate._readableState.endEmitted?(this._inflate.close(),this._inflate=null):(this._inflate[Xm]=0,this._inflate[HS]=[],n&&this.params[`${i}_no_context_takeover`]&&this._inflate.reset()),r(null,o)})}_compress(t,n,r){let i=this._isServer?"server":"client";if(!this._deflate){let s=`${i}_max_window_bits`,o=typeof this.params[s]!="number"?XC.Z_DEFAULT_WINDOWBITS:this.params[s];this._deflate=XC.createDeflateRaw({...this._options.zlibDeflateOptions,windowBits:o}),this._deflate[Xm]=0,this._deflate[HS]=[],this._deflate.on("data",omn)}this._deflate[hk]=r,this._deflate.write(t),this._deflate.flush(XC.Z_SYNC_FLUSH,()=>{if(!this._deflate)return;let s=h7e.concat(this._deflate[HS],this._deflate[Xm]);n&&(s=new imn(s.buffer,s.byteOffset,s.length-4)),this._deflate[hk]=null,this._deflate[Xm]=0,this._deflate[HS]=[],n&&this.params[`${i}_no_context_takeover`]&&this._deflate.reset(),r(null,s)})}};y7e.exports=iae;function omn(e){this[HS].push(e),this[Xm]+=e.length}function g7e(e){if(this[Xm]+=e.length,this[qV]._maxPayload<1||this[Xm]<=this[qV]._maxPayload){this[HS].push(e);return}this[mk]=new RangeError("Max payload size exceeded"),this[mk].code="WS_ERR_UNSUPPORTED_MESSAGE_LENGTH",this[mk][m7e]=1009,this.removeListener("data",g7e),this.reset()}function amn(e){if(this[qV]._inflate=null,this[mk]){this[hk](this[mk]);return}e[m7e]=1007,this[hk](e)}});var yk=w((JWr,BV)=>{"use strict";var{isUtf8:S7e}=K("buffer"),{hasBlob:cmn}=Jm(),umn=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,1,1,1,1,0,0,1,1,0,1,1,0,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,1,0,1,0];function lmn(e){return e>=1e3&&e<=1014&&e!==1004&&e!==1005&&e!==1006||e>=3e3&&e<=4999}function sae(e){let t=e.length,n=0;for(;n<t;)if((e[n]&128)===0)n++;else if((e[n]&224)===192){if(n+1===t||(e[n+1]&192)!==128||(e[n]&254)===192)return!1;n+=2}else if((e[n]&240)===224){if(n+2>=t||(e[n+1]&192)!==128||(e[n+2]&192)!==128||e[n]===224&&(e[n+1]&224)===128||e[n]===237&&(e[n+1]&224)===160)return!1;n+=3}else if((e[n]&248)===240){if(n+3>=t||(e[n+1]&192)!==128||(e[n+2]&192)!==128||(e[n+3]&192)!==128||e[n]===240&&(e[n+1]&240)===128||e[n]===244&&e[n+1]>143||e[n]>244)return!1;n+=4}else return!1;return!0}function dmn(e){return cmn&&typeof e=="object"&&typeof e.arrayBuffer=="function"&&typeof e.type=="string"&&typeof e.stream=="function"&&(e[Symbol.toStringTag]==="Blob"||e[Symbol.toStringTag]==="File")}BV.exports={isBlob:dmn,isValidStatusCode:lmn,isValidUTF8:sae,tokenChars:umn};if(S7e)BV.exports.isValidUTF8=function(e){return e.length<24?sae(e):S7e(e)};else if(!process.env.WS_NO_UTF_8_VALIDATE)try{let e=K("utf-8-validate");BV.exports.isValidUTF8=function(t){return t.length<32?sae(t):e(t)}}catch{}});var lae=w((XWr,A7e)=>{"use strict";var{Writable:fmn}=K("stream"),b7e=gk(),{BINARY_TYPES:pmn,EMPTY_BUFFER:E7e,kStatusCode:hmn,kWebSocket:mmn}=Jm(),{concat:oae,toArrayBuffer:gmn,unmask:ymn}=JC(),{isValidStatusCode:Smn,isValidUTF8:_7e}=yk(),zV=Buffer[Symbol.species],_d=0,T7e=1,v7e=2,R7e=3,aae=4,cae=5,GV=6,uae=class extends fmn{constructor(t={}){super(),this._allowSynchronousEvents=t.allowSynchronousEvents!==void 0?t.allowSynchronousEvents:!0,this._binaryType=t.binaryType||pmn[0],this._extensions=t.extensions||{},this._isServer=!!t.isServer,this._maxPayload=t.maxPayload|0,this._skipUTF8Validation=!!t.skipUTF8Validation,this[mmn]=void 0,this._bufferedBytes=0,this._buffers=[],this._compressed=!1,this._payloadLength=0,this._mask=void 0,this._fragmented=0,this._masked=!1,this._fin=!1,this._opcode=0,this._totalPayloadLength=0,this._messageLength=0,this._fragments=[],this._errored=!1,this._loop=!1,this._state=_d}_write(t,n,r){if(this._opcode===8&&this._state==_d)return r();this._bufferedBytes+=t.length,this._buffers.push(t),this.startLoop(r)}consume(t){if(this._bufferedBytes-=t,t===this._buffers[0].length)return this._buffers.shift();if(t<this._buffers[0].length){let r=this._buffers[0];return this._buffers[0]=new zV(r.buffer,r.byteOffset+t,r.length-t),new zV(r.buffer,r.byteOffset,t)}let n=Buffer.allocUnsafe(t);do{let r=this._buffers[0],i=n.length-t;t>=r.length?n.set(this._buffers.shift(),i):(n.set(new Uint8Array(r.buffer,r.byteOffset,t),i),this._buffers[0]=new zV(r.buffer,r.byteOffset+t,r.length-t)),t-=r.length}while(t>0);return n}startLoop(t){this._loop=!0;do switch(this._state){case _d:this.getInfo(t);break;case T7e:this.getPayloadLength16(t);break;case v7e:this.getPayloadLength64(t);break;case R7e:this.getMask();break;case aae:this.getData(t);break;case cae:case GV:this._loop=!1;return}while(this._loop);this._errored||t()}getInfo(t){if(this._bufferedBytes<2){this._loop=!1;return}let n=this.consume(2);if((n[0]&48)!==0){let i=this.createError(RangeError,"RSV2 and RSV3 must be clear",!0,1002,"WS_ERR_UNEXPECTED_RSV_2_3");t(i);return}let r=(n[0]&64)===64;if(r&&!this._extensions[b7e.extensionName]){let i=this.createError(RangeError,"RSV1 must be clear",!0,1002,"WS_ERR_UNEXPECTED_RSV_1");t(i);return}if(this._fin=(n[0]&128)===128,this._opcode=n[0]&15,this._payloadLength=n[1]&127,this._opcode===0){if(r){let i=this.createError(RangeError,"RSV1 must be clear",!0,1002,"WS_ERR_UNEXPECTED_RSV_1");t(i);return}if(!this._fragmented){let i=this.createError(RangeError,"invalid opcode 0",!0,1002,"WS_ERR_INVALID_OPCODE");t(i);return}this._opcode=this._fragmented}else if(this._opcode===1||this._opcode===2){if(this._fragmented){let i=this.createError(RangeError,`invalid opcode ${this._opcode}`,!0,1002,"WS_ERR_INVALID_OPCODE");t(i);return}this._compressed=r}else if(this._opcode>7&&this._opcode<11){if(!this._fin){let i=this.createError(RangeError,"FIN must be set",!0,1002,"WS_ERR_EXPECTED_FIN");t(i);return}if(r){let i=this.createError(RangeError,"RSV1 must be clear",!0,1002,"WS_ERR_UNEXPECTED_RSV_1");t(i);return}if(this._payloadLength>125||this._opcode===8&&this._payloadLength===1){let i=this.createError(RangeError,`invalid payload length ${this._payloadLength}`,!0,1002,"WS_ERR_INVALID_CONTROL_PAYLOAD_LENGTH");t(i);return}}else{let i=this.createError(RangeError,`invalid opcode ${this._opcode}`,!0,1002,"WS_ERR_INVALID_OPCODE");t(i);return}if(!this._fin&&!this._fragmented&&(this._fragmented=this._opcode),this._masked=(n[1]&128)===128,this._isServer){if(!this._masked){let i=this.createError(RangeError,"MASK must be set",!0,1002,"WS_ERR_EXPECTED_MASK");t(i);return}}else if(this._masked){let i=this.createError(RangeError,"MASK must be clear",!0,1002,"WS_ERR_UNEXPECTED_MASK");t(i);return}this._payloadLength===126?this._state=T7e:this._payloadLength===127?this._state=v7e:this.haveLength(t)}getPayloadLength16(t){if(this._bufferedBytes<2){this._loop=!1;return}this._payloadLength=this.consume(2).readUInt16BE(0),this.haveLength(t)}getPayloadLength64(t){if(this._bufferedBytes<8){this._loop=!1;return}let n=this.consume(8),r=n.readUInt32BE(0);if(r>Math.pow(2,21)-1){let i=this.createError(RangeError,"Unsupported WebSocket frame: payload length > 2^53 - 1",!1,1009,"WS_ERR_UNSUPPORTED_DATA_PAYLOAD_LENGTH");t(i);return}this._payloadLength=r*Math.pow(2,32)+n.readUInt32BE(4),this.haveLength(t)}haveLength(t){if(this._payloadLength&&this._opcode<8&&(this._totalPayloadLength+=this._payloadLength,this._totalPayloadLength>this._maxPayload&&this._maxPayload>0)){let n=this.createError(RangeError,"Max payload size exceeded",!1,1009,"WS_ERR_UNSUPPORTED_MESSAGE_LENGTH");t(n);return}this._masked?this._state=R7e:this._state=aae}getMask(){if(this._bufferedBytes<4){this._loop=!1;return}this._mask=this.consume(4),this._state=aae}getData(t){let n=E7e;if(this._payloadLength){if(this._bufferedBytes<this._payloadLength){this._loop=!1;return}n=this.consume(this._payloadLength),this._masked&&(this._mask[0]|this._mask[1]|this._mask[2]|this._mask[3])!==0&&ymn(n,this._mask)}if(this._opcode>7){this.controlMessage(n,t);return}if(this._compressed){this._state=cae,this.decompress(n,t);return}n.length&&(this._messageLength=this._totalPayloadLength,this._fragments.push(n)),this.dataMessage(t)}decompress(t,n){this._extensions[b7e.extensionName].decompress(t,this._fin,(i,s)=>{if(i)return n(i);if(s.length){if(this._messageLength+=s.length,this._messageLength>this._maxPayload&&this._maxPayload>0){let o=this.createError(RangeError,"Max payload size exceeded",!1,1009,"WS_ERR_UNSUPPORTED_MESSAGE_LENGTH");n(o);return}this._fragments.push(s)}this.dataMessage(n),this._state===_d&&this.startLoop(n)})}dataMessage(t){if(!this._fin){this._state=_d;return}let n=this._messageLength,r=this._fragments;if(this._totalPayloadLength=0,this._messageLength=0,this._fragmented=0,this._fragments=[],this._opcode===2){let i;this._binaryType==="nodebuffer"?i=oae(r,n):this._binaryType==="arraybuffer"?i=gmn(oae(r,n)):this._binaryType==="blob"?i=new Blob(r):i=r,this._allowSynchronousEvents?(this.emit("message",i,!0),this._state=_d):(this._state=GV,setImmediate(()=>{this.emit("message",i,!0),this._state=_d,this.startLoop(t)}))}else{let i=oae(r,n);if(!this._skipUTF8Validation&&!_7e(i)){let s=this.createError(Error,"invalid UTF-8 sequence",!0,1007,"WS_ERR_INVALID_UTF8");t(s);return}this._state===cae||this._allowSynchronousEvents?(this.emit("message",i,!1),this._state=_d):(this._state=GV,setImmediate(()=>{this.emit("message",i,!1),this._state=_d,this.startLoop(t)}))}}controlMessage(t,n){if(this._opcode===8){if(t.length===0)this._loop=!1,this.emit("conclude",1005,E7e),this.end();else{let r=t.readUInt16BE(0);if(!Smn(r)){let s=this.createError(RangeError,`invalid status code ${r}`,!0,1002,"WS_ERR_INVALID_CLOSE_CODE");n(s);return}let i=new zV(t.buffer,t.byteOffset+2,t.length-2);if(!this._skipUTF8Validation&&!_7e(i)){let s=this.createError(Error,"invalid UTF-8 sequence",!0,1007,"WS_ERR_INVALID_UTF8");n(s);return}this._loop=!1,this.emit("conclude",r,i),this.end()}this._state=_d;return}this._allowSynchronousEvents?(this.emit(this._opcode===9?"ping":"pong",t),this._state=_d):(this._state=GV,setImmediate(()=>{this.emit(this._opcode===9?"ping":"pong",t),this._state=_d,this.startLoop(n)}))}createError(t,n,r,i,s){this._loop=!1,this._errored=!0;let o=new t(r?`Invalid WebSocket frame: ${n}`:n);return Error.captureStackTrace(o,this.createError),o.code=s,o[hmn]=i,o}};A7e.exports=uae});var pae=w(($Wr,I7e)=>{"use strict";var{Duplex:QWr}=K("stream"),{randomFillSync:bmn}=K("crypto"),w7e=gk(),{EMPTY_BUFFER:Emn,kWebSocket:_mn,NOOP:Tmn}=Jm(),{isBlob:Sk,isValidStatusCode:vmn}=yk(),{mask:k7e,toBuffer:V_}=JC(),Td=Symbol("kByteLength"),Rmn=Buffer.alloc(4),VV=8*1024,W_,bk=VV,xf=0,Amn=1,wmn=2,dae=class e{constructor(t,n,r){this._extensions=n||{},r&&(this._generateMask=r,this._maskBuffer=Buffer.alloc(4)),this._socket=t,this._firstFragment=!0,this._compress=!1,this._bufferedBytes=0,this._queue=[],this._state=xf,this.onerror=Tmn,this[_mn]=void 0}static frame(t,n){let r,i=!1,s=2,o=!1;n.mask&&(r=n.maskBuffer||Rmn,n.generateMask?n.generateMask(r):(bk===VV&&(W_===void 0&&(W_=Buffer.alloc(VV)),bmn(W_,0,VV),bk=0),r[0]=W_[bk++],r[1]=W_[bk++],r[2]=W_[bk++],r[3]=W_[bk++]),o=(r[0]|r[1]|r[2]|r[3])===0,s=6);let a;typeof t=="string"?(!n.mask||o)&&n[Td]!==void 0?a=n[Td]:(t=Buffer.from(t),a=t.length):(a=t.length,i=n.mask&&n.readOnly&&!o);let c=a;a>=65536?(s+=8,c=127):a>125&&(s+=2,c=126);let u=Buffer.allocUnsafe(i?a+s:s);return u[0]=n.fin?n.opcode|128:n.opcode,n.rsv1&&(u[0]|=64),u[1]=c,c===126?u.writeUInt16BE(a,2):c===127&&(u[2]=u[3]=0,u.writeUIntBE(a,4,6)),n.mask?(u[1]|=128,u[s-4]=r[0],u[s-3]=r[1],u[s-2]=r[2],u[s-1]=r[3],o?[u,t]:i?(k7e(t,r,u,s,a),[u]):(k7e(t,r,t,0,a),[u,t])):[u,t]}close(t,n,r,i){let s;if(t===void 0)s=Emn;else{if(typeof t!="number"||!vmn(t))throw new TypeError("First argument must be a valid error code number");if(n===void 0||!n.length)s=Buffer.allocUnsafe(2),s.writeUInt16BE(t,0);else{let a=Buffer.byteLength(n);if(a>123)throw new RangeError("The message must not be greater than 123 bytes");s=Buffer.allocUnsafe(2+a),s.writeUInt16BE(t,0),typeof n=="string"?s.write(n,2):s.set(n,2)}}let o={[Td]:s.length,fin:!0,generateMask:this._generateMask,mask:r,maskBuffer:this._maskBuffer,opcode:8,readOnly:!1,rsv1:!1};this._state!==xf?this.enqueue([this.dispatch,s,!1,o,i]):this.sendFrame(e.frame(s,o),i)}ping(t,n,r){let i,s;if(typeof t=="string"?(i=Buffer.byteLength(t),s=!1):Sk(t)?(i=t.size,s=!1):(t=V_(t),i=t.length,s=V_.readOnly),i>125)throw new RangeError("The data size must not be greater than 125 bytes");let o={[Td]:i,fin:!0,generateMask:this._generateMask,mask:n,maskBuffer:this._maskBuffer,opcode:9,readOnly:s,rsv1:!1};Sk(t)?this._state!==xf?this.enqueue([this.getBlobData,t,!1,o,r]):this.getBlobData(t,!1,o,r):this._state!==xf?this.enqueue([this.dispatch,t,!1,o,r]):this.sendFrame(e.frame(t,o),r)}pong(t,n,r){let i,s;if(typeof t=="string"?(i=Buffer.byteLength(t),s=!1):Sk(t)?(i=t.size,s=!1):(t=V_(t),i=t.length,s=V_.readOnly),i>125)throw new RangeError("The data size must not be greater than 125 bytes");let o={[Td]:i,fin:!0,generateMask:this._generateMask,mask:n,maskBuffer:this._maskBuffer,opcode:10,readOnly:s,rsv1:!1};Sk(t)?this._state!==xf?this.enqueue([this.getBlobData,t,!1,o,r]):this.getBlobData(t,!1,o,r):this._state!==xf?this.enqueue([this.dispatch,t,!1,o,r]):this.sendFrame(e.frame(t,o),r)}send(t,n,r){let i=this._extensions[w7e.extensionName],s=n.binary?2:1,o=n.compress,a,c;typeof t=="string"?(a=Buffer.byteLength(t),c=!1):Sk(t)?(a=t.size,c=!1):(t=V_(t),a=t.length,c=V_.readOnly),this._firstFragment?(this._firstFragment=!1,o&&i&&i.params[i._isServer?"server_no_context_takeover":"client_no_context_takeover"]&&(o=a>=i._threshold),this._compress=o):(o=!1,s=0),n.fin&&(this._firstFragment=!0);let u={[Td]:a,fin:n.fin,generateMask:this._generateMask,mask:n.mask,maskBuffer:this._maskBuffer,opcode:s,readOnly:c,rsv1:o};Sk(t)?this._state!==xf?this.enqueue([this.getBlobData,t,this._compress,u,r]):this.getBlobData(t,this._compress,u,r):this._state!==xf?this.enqueue([this.dispatch,t,this._compress,u,r]):this.dispatch(t,this._compress,u,r)}getBlobData(t,n,r,i){this._bufferedBytes+=r[Td],this._state=wmn,t.arrayBuffer().then(s=>{if(this._socket.destroyed){let a=new Error("The socket was closed while the blob was being read");process.nextTick(fae,this,a,i);return}this._bufferedBytes-=r[Td];let o=V_(s);n?this.dispatch(o,n,r,i):(this._state=xf,this.sendFrame(e.frame(o,r),i),this.dequeue())}).catch(s=>{process.nextTick(kmn,this,s,i)})}dispatch(t,n,r,i){if(!n){this.sendFrame(e.frame(t,r),i);return}let s=this._extensions[w7e.extensionName];this._bufferedBytes+=r[Td],this._state=Amn,s.compress(t,r.fin,(o,a)=>{if(this._socket.destroyed){let c=new Error("The socket was closed while data was being compressed");fae(this,c,i);return}this._bufferedBytes-=r[Td],this._state=xf,r.readOnly=!1,this.sendFrame(e.frame(a,r),i),this.dequeue()})}dequeue(){for(;this._state===xf&&this._queue.length;){let t=this._queue.shift();this._bufferedBytes-=t[3][Td],Reflect.apply(t[0],this,t.slice(1))}}enqueue(t){this._bufferedBytes+=t[3][Td],this._queue.push(t)}sendFrame(t,n){t.length===2?(this._socket.cork(),this._socket.write(t[0]),this._socket.write(t[1],n),this._socket.uncork()):this._socket.write(t[0],n)}};I7e.exports=dae;function fae(e,t,n){typeof n=="function"&&n(t);for(let r=0;r<e._queue.length;r++){let i=e._queue[r],s=i[i.length-1];typeof s=="function"&&s(t)}}function kmn(e,t,n){fae(e,t,n),e.onerror(t)}});var U7e=w((e4r,L7e)=>{"use strict";var{kForOnEventAttribute:QC,kListener:hae}=Jm(),x7e=Symbol("kCode"),O7e=Symbol("kData"),P7e=Symbol("kError"),N7e=Symbol("kMessage"),C7e=Symbol("kReason"),Ek=Symbol("kTarget"),M7e=Symbol("kType"),D7e=Symbol("kWasClean"),Qm=class{constructor(t){this[Ek]=null,this[M7e]=t}get target(){return this[Ek]}get type(){return this[M7e]}};Object.defineProperty(Qm.prototype,"target",{enumerable:!0});Object.defineProperty(Qm.prototype,"type",{enumerable:!0});var K_=class extends Qm{constructor(t,n={}){super(t),this[x7e]=n.code===void 0?0:n.code,this[C7e]=n.reason===void 0?"":n.reason,this[D7e]=n.wasClean===void 0?!1:n.wasClean}get code(){return this[x7e]}get reason(){return this[C7e]}get wasClean(){return this[D7e]}};Object.defineProperty(K_.prototype,"code",{enumerable:!0});Object.defineProperty(K_.prototype,"reason",{enumerable:!0});Object.defineProperty(K_.prototype,"wasClean",{enumerable:!0});var _k=class extends Qm{constructor(t,n={}){super(t),this[P7e]=n.error===void 0?null:n.error,this[N7e]=n.message===void 0?"":n.message}get error(){return this[P7e]}get message(){return this[N7e]}};Object.defineProperty(_k.prototype,"error",{enumerable:!0});Object.defineProperty(_k.prototype,"message",{enumerable:!0});var $C=class extends Qm{constructor(t,n={}){super(t),this[O7e]=n.data===void 0?null:n.data}get data(){return this[O7e]}};Object.defineProperty($C.prototype,"data",{enumerable:!0});var Imn={addEventListener(e,t,n={}){for(let i of this.listeners(e))if(!n[QC]&&i[hae]===t&&!i[QC])return;let r;if(e==="message")r=function(s,o){let a=new $C("message",{data:o?s:s.toString()});a[Ek]=this,WV(t,this,a)};else if(e==="close")r=function(s,o){let a=new K_("close",{code:s,reason:o.toString(),wasClean:this._closeFrameReceived&&this._closeFrameSent});a[Ek]=this,WV(t,this,a)};else if(e==="error")r=function(s){let o=new _k("error",{error:s,message:s.message});o[Ek]=this,WV(t,this,o)};else if(e==="open")r=function(){let s=new Qm("open");s[Ek]=this,WV(t,this,s)};else return;r[QC]=!!n[QC],r[hae]=t,n.once?this.once(e,r):this.on(e,r)},removeEventListener(e,t){for(let n of this.listeners(e))if(n[hae]===t&&!n[QC]){this.removeListener(e,n);break}}};L7e.exports={CloseEvent:K_,ErrorEvent:_k,Event:Qm,EventTarget:Imn,MessageEvent:$C};function WV(e,t,n){typeof e=="object"&&e.handleEvent?e.handleEvent.call(e,n):e.call(t,n)}});var KV=w((t4r,F7e)=>{"use strict";var{tokenChars:eM}=yk();function bh(e,t,n){e[t]===void 0?e[t]=[n]:e[t].push(n)}function xmn(e){let t=Object.create(null),n=Object.create(null),r=!1,i=!1,s=!1,o,a,c=-1,u=-1,l=-1,d=0;for(;d<e.length;d++)if(u=e.charCodeAt(d),o===void 0)if(l===-1&&eM[u]===1)c===-1&&(c=d);else if(d!==0&&(u===32||u===9))l===-1&&c!==-1&&(l=d);else if(u===59||u===44){if(c===-1)throw new SyntaxError(`Unexpected character at index ${d}`);l===-1&&(l=d);let p=e.slice(c,l);u===44?(bh(t,p,n),n=Object.create(null)):o=p,c=l=-1}else throw new SyntaxError(`Unexpected character at index ${d}`);else if(a===void 0)if(l===-1&&eM[u]===1)c===-1&&(c=d);else if(u===32||u===9)l===-1&&c!==-1&&(l=d);else if(u===59||u===44){if(c===-1)throw new SyntaxError(`Unexpected character at index ${d}`);l===-1&&(l=d),bh(n,e.slice(c,l),!0),u===44&&(bh(t,o,n),n=Object.create(null),o=void 0),c=l=-1}else if(u===61&&c!==-1&&l===-1)a=e.slice(c,d),c=l=-1;else throw new SyntaxError(`Unexpected character at index ${d}`);else if(i){if(eM[u]!==1)throw new SyntaxError(`Unexpected character at index ${d}`);c===-1?c=d:r||(r=!0),i=!1}else if(s)if(eM[u]===1)c===-1&&(c=d);else if(u===34&&c!==-1)s=!1,l=d;else if(u===92)i=!0;else throw new SyntaxError(`Unexpected character at index ${d}`);else if(u===34&&e.charCodeAt(d-1)===61)s=!0;else if(l===-1&&eM[u]===1)c===-1&&(c=d);else if(c!==-1&&(u===32||u===9))l===-1&&(l=d);else if(u===59||u===44){if(c===-1)throw new SyntaxError(`Unexpected character at index ${d}`);l===-1&&(l=d);let p=e.slice(c,l);r&&(p=p.replace(/\\/g,""),r=!1),bh(n,a,p),u===44&&(bh(t,o,n),n=Object.create(null),o=void 0),a=void 0,c=l=-1}else throw new SyntaxError(`Unexpected character at index ${d}`);if(c===-1||s||u===32||u===9)throw new SyntaxError("Unexpected end of input");l===-1&&(l=d);let f=e.slice(c,l);return o===void 0?bh(t,f,n):(a===void 0?bh(n,f,!0):r?bh(n,a,f.replace(/\\/g,"")):bh(n,a,f),bh(t,o,n)),t}function Omn(e){return Object.keys(e).map(t=>{let n=e[t];return Array.isArray(n)||(n=[n]),n.map(r=>[t].concat(Object.keys(r).map(i=>{let s=r[i];return Array.isArray(s)||(s=[s]),s.map(o=>o===!0?i:`${i}=${o}`).join("; ")})).join("; ")).join(", ")}).join(", ")}F7e.exports={format:Omn,parse:xmn}});var XV=w((i4r,J7e)=>{"use strict";var Pmn=K("events"),Nmn=K("https"),Cmn=K("http"),q7e=K("net"),Mmn=K("tls"),{randomBytes:Dmn,createHash:Lmn}=K("crypto"),{Duplex:n4r,Readable:r4r}=K("stream"),{URL:mae}=K("url"),qS=gk(),Umn=lae(),Fmn=pae(),{isBlob:jmn}=yk(),{BINARY_TYPES:j7e,CLOSE_TIMEOUT:Hmn,EMPTY_BUFFER:YV,GUID:qmn,kForOnEventAttribute:gae,kListener:Bmn,kStatusCode:zmn,kWebSocket:Wo,NOOP:B7e}=Jm(),{EventTarget:{addEventListener:Gmn,removeEventListener:Vmn}}=U7e(),{format:Wmn,parse:Kmn}=KV(),{toBuffer:Ymn}=JC(),z7e=Symbol("kAborted"),yae=[8,13],$m=["CONNECTING","OPEN","CLOSING","CLOSED"],Zmn=/^[!#$%&'*+\-.0-9A-Z^_`|a-z~]+$/,Fi=class e extends Pmn{constructor(t,n,r){super(),this._binaryType=j7e[0],this._closeCode=1006,this._closeFrameReceived=!1,this._closeFrameSent=!1,this._closeMessage=YV,this._closeTimer=null,this._errorEmitted=!1,this._extensions={},this._paused=!1,this._protocol="",this._readyState=e.CONNECTING,this._receiver=null,this._sender=null,this._socket=null,t!==null?(this._bufferedAmount=0,this._isServer=!1,this._redirects=0,n===void 0?n=[]:Array.isArray(n)||(typeof n=="object"&&n!==null?(r=n,n=[]):n=[n]),G7e(this,t,n,r)):(this._autoPong=r.autoPong,this._closeTimeout=r.closeTimeout,this._isServer=!0)}get binaryType(){return this._binaryType}set binaryType(t){j7e.includes(t)&&(this._binaryType=t,this._receiver&&(this._receiver._binaryType=t))}get bufferedAmount(){return this._socket?this._socket._writableState.length+this._sender._bufferedBytes:this._bufferedAmount}get extensions(){return Object.keys(this._extensions).join()}get isPaused(){return this._paused}get onclose(){return null}get onerror(){return null}get onopen(){return null}get onmessage(){return null}get protocol(){return this._protocol}get readyState(){return this._readyState}get url(){return this._url}setSocket(t,n,r){let i=new Umn({allowSynchronousEvents:r.allowSynchronousEvents,binaryType:this.binaryType,extensions:this._extensions,isServer:this._isServer,maxPayload:r.maxPayload,skipUTF8Validation:r.skipUTF8Validation}),s=new Fmn(t,this._extensions,r.generateMask);this._receiver=i,this._sender=s,this._socket=t,i[Wo]=this,s[Wo]=this,t[Wo]=this,i.on("conclude",Qmn),i.on("drain",$mn),i.on("error",egn),i.on("message",tgn),i.on("ping",ngn),i.on("pong",rgn),s.onerror=ign,t.setTimeout&&t.setTimeout(0),t.setNoDelay&&t.setNoDelay(),n.length>0&&t.unshift(n),t.on("close",K7e),t.on("data",JV),t.on("end",Y7e),t.on("error",Z7e),this._readyState=e.OPEN,this.emit("open")}emitClose(){if(!this._socket){this._readyState=e.CLOSED,this.emit("close",this._closeCode,this._closeMessage);return}this._extensions[qS.extensionName]&&this._extensions[qS.extensionName].cleanup(),this._receiver.removeAllListeners(),this._readyState=e.CLOSED,this.emit("close",this._closeCode,this._closeMessage)}close(t,n){if(this.readyState!==e.CLOSED){if(this.readyState===e.CONNECTING){bl(this,this._req,"WebSocket was closed before the connection was established");return}if(this.readyState===e.CLOSING){this._closeFrameSent&&(this._closeFrameReceived||this._receiver._writableState.errorEmitted)&&this._socket.end();return}this._readyState=e.CLOSING,this._sender.close(t,n,!this._isServer,r=>{r||(this._closeFrameSent=!0,(this._closeFrameReceived||this._receiver._writableState.errorEmitted)&&this._socket.end())}),W7e(this)}}pause(){this.readyState===e.CONNECTING||this.readyState===e.CLOSED||(this._paused=!0,this._socket.pause())}ping(t,n,r){if(this.readyState===e.CONNECTING)throw new Error("WebSocket is not open: readyState 0 (CONNECTING)");if(typeof t=="function"?(r=t,t=n=void 0):typeof n=="function"&&(r=n,n=void 0),typeof t=="number"&&(t=t.toString()),this.readyState!==e.OPEN){Sae(this,t,r);return}n===void 0&&(n=!this._isServer),this._sender.ping(t||YV,n,r)}pong(t,n,r){if(this.readyState===e.CONNECTING)throw new Error("WebSocket is not open: readyState 0 (CONNECTING)");if(typeof t=="function"?(r=t,t=n=void 0):typeof n=="function"&&(r=n,n=void 0),typeof t=="number"&&(t=t.toString()),this.readyState!==e.OPEN){Sae(this,t,r);return}n===void 0&&(n=!this._isServer),this._sender.pong(t||YV,n,r)}resume(){this.readyState===e.CONNECTING||this.readyState===e.CLOSED||(this._paused=!1,this._receiver._writableState.needDrain||this._socket.resume())}send(t,n,r){if(this.readyState===e.CONNECTING)throw new Error("WebSocket is not open: readyState 0 (CONNECTING)");if(typeof n=="function"&&(r=n,n={}),typeof t=="number"&&(t=t.toString()),this.readyState!==e.OPEN){Sae(this,t,r);return}let i={binary:typeof t!="string",mask:!this._isServer,compress:!0,fin:!0,...n};this._extensions[qS.extensionName]||(i.compress=!1),this._sender.send(t||YV,i,r)}terminate(){if(this.readyState!==e.CLOSED){if(this.readyState===e.CONNECTING){bl(this,this._req,"WebSocket was closed before the connection was established");return}this._socket&&(this._readyState=e.CLOSING,this._socket.destroy())}}};Object.defineProperty(Fi,"CONNECTING",{enumerable:!0,value:$m.indexOf("CONNECTING")});Object.defineProperty(Fi.prototype,"CONNECTING",{enumerable:!0,value:$m.indexOf("CONNECTING")});Object.defineProperty(Fi,"OPEN",{enumerable:!0,value:$m.indexOf("OPEN")});Object.defineProperty(Fi.prototype,"OPEN",{enumerable:!0,value:$m.indexOf("OPEN")});Object.defineProperty(Fi,"CLOSING",{enumerable:!0,value:$m.indexOf("CLOSING")});Object.defineProperty(Fi.prototype,"CLOSING",{enumerable:!0,value:$m.indexOf("CLOSING")});Object.defineProperty(Fi,"CLOSED",{enumerable:!0,value:$m.indexOf("CLOSED")});Object.defineProperty(Fi.prototype,"CLOSED",{enumerable:!0,value:$m.indexOf("CLOSED")});["binaryType","bufferedAmount","extensions","isPaused","protocol","readyState","url"].forEach(e=>{Object.defineProperty(Fi.prototype,e,{enumerable:!0})});["open","error","close","message"].forEach(e=>{Object.defineProperty(Fi.prototype,`on${e}`,{enumerable:!0,get(){for(let t of this.listeners(e))if(t[gae])return t[Bmn];return null},set(t){for(let n of this.listeners(e))if(n[gae]){this.removeListener(e,n);break}typeof t=="function"&&this.addEventListener(e,t,{[gae]:!0})}})});Fi.prototype.addEventListener=Gmn;Fi.prototype.removeEventListener=Vmn;J7e.exports=Fi;function G7e(e,t,n,r){let i={allowSynchronousEvents:!0,autoPong:!0,closeTimeout:Hmn,protocolVersion:yae[1],maxPayload:104857600,skipUTF8Validation:!1,perMessageDeflate:!0,followRedirects:!1,maxRedirects:10,...r,socketPath:void 0,hostname:void 0,protocol:void 0,timeout:void 0,method:"GET",host:void 0,path:void 0,port:void 0};if(e._autoPong=i.autoPong,e._closeTimeout=i.closeTimeout,!yae.includes(i.protocolVersion))throw new RangeError(`Unsupported protocol version: ${i.protocolVersion} (supported versions: ${yae.join(", ")})`);let s;if(t instanceof mae)s=t;else try{s=new mae(t)}catch{throw new SyntaxError(`Invalid URL: ${t}`)}s.protocol==="http:"?s.protocol="ws:":s.protocol==="https:"&&(s.protocol="wss:"),e._url=s.href;let o=s.protocol==="wss:",a=s.protocol==="ws+unix:",c;if(s.protocol!=="ws:"&&!o&&!a?c=`The URL's protocol must be one of "ws:", "wss:", "http:", "https:", or "ws+unix:"`:a&&!s.pathname?c="The URL's pathname is empty":s.hash&&(c="The URL contains a fragment identifier"),c){let m=new SyntaxError(c);if(e._redirects===0)throw m;ZV(e,m);return}let u=o?443:80,l=Dmn(16).toString("base64"),d=o?Nmn.request:Cmn.request,f=new Set,p;if(i.createConnection=i.createConnection||(o?Xmn:Jmn),i.defaultPort=i.defaultPort||u,i.port=s.port||u,i.host=s.hostname.startsWith("[")?s.hostname.slice(1,-1):s.hostname,i.headers={...i.headers,"Sec-WebSocket-Version":i.protocolVersion,"Sec-WebSocket-Key":l,Connection:"Upgrade",Upgrade:"websocket"},i.path=s.pathname+s.search,i.timeout=i.handshakeTimeout,i.perMessageDeflate&&(p=new qS({...i.perMessageDeflate,isServer:!1,maxPayload:i.maxPayload}),i.headers["Sec-WebSocket-Extensions"]=Wmn({[qS.extensionName]:p.offer()})),n.length){for(let m of n){if(typeof m!="string"||!Zmn.test(m)||f.has(m))throw new SyntaxError("An invalid or duplicated subprotocol was specified");f.add(m)}i.headers["Sec-WebSocket-Protocol"]=n.join(",")}if(i.origin&&(i.protocolVersion<13?i.headers["Sec-WebSocket-Origin"]=i.origin:i.headers.Origin=i.origin),(s.username||s.password)&&(i.auth=`${s.username}:${s.password}`),a){let m=i.path.split(":");i.socketPath=m[0],i.path=m[1]}let h;if(i.followRedirects){if(e._redirects===0){e._originalIpc=a,e._originalSecure=o,e._originalHostOrSocketPath=a?i.socketPath:s.host;let m=r&&r.headers;if(r={...r,headers:{}},m)for(let[g,y]of Object.entries(m))r.headers[g.toLowerCase()]=y}else if(e.listenerCount("redirect")===0){let m=a?e._originalIpc?i.socketPath===e._originalHostOrSocketPath:!1:e._originalIpc?!1:s.host===e._originalHostOrSocketPath;(!m||e._originalSecure&&!o)&&(delete i.headers.authorization,delete i.headers.cookie,m||delete i.headers.host,i.auth=void 0)}i.auth&&!r.headers.authorization&&(r.headers.authorization="Basic "+Buffer.from(i.auth).toString("base64")),h=e._req=d(i),e._redirects&&e.emit("redirect",e.url,h)}else h=e._req=d(i);i.timeout&&h.on("timeout",()=>{bl(e,h,"Opening handshake has timed out")}),h.on("error",m=>{h===null||h[z7e]||(h=e._req=null,ZV(e,m))}),h.on("response",m=>{let g=m.headers.location,y=m.statusCode;if(g&&i.followRedirects&&y>=300&&y<400){if(++e._redirects>i.maxRedirects){bl(e,h,"Maximum redirects exceeded");return}h.abort();let b;try{b=new mae(g,t)}catch{let E=new SyntaxError(`Invalid URL: ${g}`);ZV(e,E);return}G7e(e,b,n,r)}else e.emit("unexpected-response",h,m)||bl(e,h,`Unexpected server response: ${m.statusCode}`)}),h.on("upgrade",(m,g,y)=>{if(e.emit("upgrade",m),e.readyState!==Fi.CONNECTING)return;h=e._req=null;let b=m.headers.upgrade;if(b===void 0||b.toLowerCase()!=="websocket"){bl(e,g,"Invalid Upgrade header");return}let S=Lmn("sha1").update(l+qmn).digest("base64");if(m.headers["sec-websocket-accept"]!==S){bl(e,g,"Invalid Sec-WebSocket-Accept header");return}let E=m.headers["sec-websocket-protocol"],_;if(E!==void 0?f.size?f.has(E)||(_="Server sent an invalid subprotocol"):_="Server sent a subprotocol but none was requested":f.size&&(_="Server sent no subprotocol"),_){bl(e,g,_);return}E&&(e._protocol=E);let T=m.headers["sec-websocket-extensions"];if(T!==void 0){if(!p){bl(e,g,"Server sent a Sec-WebSocket-Extensions header but no extension was requested");return}let R;try{R=Kmn(T)}catch{bl(e,g,"Invalid Sec-WebSocket-Extensions header");return}let A=Object.keys(R);if(A.length!==1||A[0]!==qS.extensionName){bl(e,g,"Server indicated an extension that was not requested");return}try{p.accept(R[qS.extensionName])}catch{bl(e,g,"Invalid Sec-WebSocket-Extensions header");return}e._extensions[qS.extensionName]=p}e.setSocket(g,y,{allowSynchronousEvents:i.allowSynchronousEvents,generateMask:i.generateMask,maxPayload:i.maxPayload,skipUTF8Validation:i.skipUTF8Validation})}),i.finishRequest?i.finishRequest(h,e):h.end()}function ZV(e,t){e._readyState=Fi.CLOSING,e._errorEmitted=!0,e.emit("error",t),e.emitClose()}function Jmn(e){return e.path=e.socketPath,q7e.connect(e)}function Xmn(e){return e.path=void 0,!e.servername&&e.servername!==""&&(e.servername=q7e.isIP(e.host)?"":e.host),Mmn.connect(e)}function bl(e,t,n){e._readyState=Fi.CLOSING;let r=new Error(n);Error.captureStackTrace(r,bl),t.setHeader?(t[z7e]=!0,t.abort(),t.socket&&!t.socket.destroyed&&t.socket.destroy(),process.nextTick(ZV,e,r)):(t.destroy(r),t.once("error",e.emit.bind(e,"error")),t.once("close",e.emitClose.bind(e)))}function Sae(e,t,n){if(t){let r=jmn(t)?t.size:Ymn(t).length;e._socket?e._sender._bufferedBytes+=r:e._bufferedAmount+=r}if(n){let r=new Error(`WebSocket is not open: readyState ${e.readyState} (${$m[e.readyState]})`);process.nextTick(n,r)}}function Qmn(e,t){let n=this[Wo];n._closeFrameReceived=!0,n._closeMessage=t,n._closeCode=e,n._socket[Wo]!==void 0&&(n._socket.removeListener("data",JV),process.nextTick(V7e,n._socket),e===1005?n.close():n.close(e,t))}function $mn(){let e=this[Wo];e.isPaused||e._socket.resume()}function egn(e){let t=this[Wo];t._socket[Wo]!==void 0&&(t._socket.removeListener("data",JV),process.nextTick(V7e,t._socket),t.close(e[zmn])),t._errorEmitted||(t._errorEmitted=!0,t.emit("error",e))}function H7e(){this[Wo].emitClose()}function tgn(e,t){this[Wo].emit("message",e,t)}function ngn(e){let t=this[Wo];t._autoPong&&t.pong(e,!this._isServer,B7e),t.emit("ping",e)}function rgn(e){this[Wo].emit("pong",e)}function V7e(e){e.resume()}function ign(e){let t=this[Wo];t.readyState!==Fi.CLOSED&&(t.readyState===Fi.OPEN&&(t._readyState=Fi.CLOSING,W7e(t)),this._socket.end(),t._errorEmitted||(t._errorEmitted=!0,t.emit("error",e)))}function W7e(e){e._closeTimer=setTimeout(e._socket.destroy.bind(e._socket),e._closeTimeout)}function K7e(){let e=this[Wo];if(this.removeListener("close",K7e),this.removeListener("data",JV),this.removeListener("end",Y7e),e._readyState=Fi.CLOSING,!this._readableState.endEmitted&&!e._closeFrameReceived&&!e._receiver._writableState.errorEmitted&&this._readableState.length!==0){let t=this.read(this._readableState.length);e._receiver.write(t)}e._receiver.end(),this[Wo]=void 0,clearTimeout(e._closeTimer),e._receiver._writableState.finished||e._receiver._writableState.errorEmitted?e.emitClose():(e._receiver.on("error",H7e),e._receiver.on("finish",H7e))}function JV(e){this[Wo]._receiver.write(e)||this.pause()}function Y7e(){let e=this[Wo];e._readyState=Fi.CLOSING,e._receiver.end(),this.end()}function Z7e(){let e=this[Wo];this.removeListener("error",Z7e),this.on("error",B7e),e&&(e._readyState=Fi.CLOSING,this.destroy())}});var eJe=w((o4r,$7e)=>{"use strict";var s4r=XV(),{Duplex:sgn}=K("stream");function X7e(e){e.emit("close")}function ogn(){!this.destroyed&&this._writableState.finished&&this.destroy()}function Q7e(e){this.removeListener("error",Q7e),this.destroy(),this.listenerCount("error")===0&&this.emit("error",e)}function agn(e,t){let n=!0,r=new sgn({...t,autoDestroy:!1,emitClose:!1,objectMode:!1,writableObjectMode:!1});return e.on("message",function(s,o){let a=!o&&r._readableState.objectMode?s.toString():s;r.push(a)||e.pause()}),e.once("error",function(s){r.destroyed||(n=!1,r.destroy(s))}),e.once("close",function(){r.destroyed||r.push(null)}),r._destroy=function(i,s){if(e.readyState===e.CLOSED){s(i),process.nextTick(X7e,r);return}let 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t=e._readableState;Rn("emitReadable_",t.destroyed,t.length,t.ended),!t.destroyed&&(t.length||t.ended)&&(e.emit("readable"),t.emittedReadable=!1),t.needReadable=!t.flowing&&!t.ended&&t.length<=t.highWaterMark,Dae(e)}function Cae(e,t){t.readingMore||(t.readingMore=!0,process.nextTick(Zyn,e,t))}function Zyn(e,t){for(;!t.reading&&!t.ended&&(t.length<t.highWaterMark||t.flowing&&t.length===0);){var n=t.length;if(Rn("maybeReadMore read 0"),e.read(0),n===t.length)break}t.readingMore=!1}nr.prototype._read=function(e){eM(this,new Byn("_read()"))};nr.prototype.pipe=function(e,t){var n=this,r=this._readableState;switch(r.pipesCount){case 0:r.pipes=e;break;case 1:r.pipes=[r.pipes,e];break;default:r.pipes.push(e);break}r.pipesCount+=1,Rn("pipe count=%d opts=%j",r.pipesCount,t);var i=(!t||t.end!==!1)&&e!==process.stdout&&e!==process.stderr,s=i?a:m;r.endEmitted?process.nextTick(s):n.once("end",s),e.on("unpipe",o);function o(y,g){Rn("onunpipe"),y===n&&g&&g.hasUnpiped===!1&&(g.hasUnpiped=!0,l())}function a(){Rn("onend"),e.end()}var c=Yyn(n);e.on("drain",c);var u=!1;function l(){Rn("cleanup"),e.removeListener("close",p),e.removeListener("finish",h),e.removeListener("drain",c),e.removeListener("error",f),e.removeListener("unpipe",o),n.removeListener("end",a),n.removeListener("end",m),n.removeListener("data",d),u=!0,r.awaitDrain&&(!e._writableState||e._writableState.needDrain)&&c()}n.on("data",d);function d(y){Rn("ondata");var g=e.write(y);Rn("dest.write",g),g===!1&&((r.pipesCount===1&&r.pipes===e||r.pipesCount>1&&WXe(r.pipes,e)!==-1)&&!u&&(Rn("false write response, pause",r.awaitDrain),r.awaitDrain++),n.pause())}function f(y){Rn("onerror",y),m(),e.removeListener("error",f),HXe(e,"error")===0&&eM(e,y)}zyn(e,"error",f);function p(){e.removeListener("finish",h),m()}e.once("close",p);function h(){Rn("onfinish"),e.removeListener("close",p),m()}e.once("finish",h);function m(){Rn("unpipe"),n.unpipe(e)}return e.emit("pipe",n),r.flowing||(Rn("pipe resume"),n.resume()),e};function Yyn(e){return function(){var n=e._readableState;Rn("pipeOnDrain",n.awaitDrain),n.awaitDrain&&n.awaitDrain--,n.awaitDrain===0&&HXe(e,"data")&&(n.flowing=!0,Dae(e))}}nr.prototype.unpipe=function(e){var t=this._readableState,n={hasUnpiped:!1};if(t.pipesCount===0)return this;if(t.pipesCount===1)return e&&e!==t.pipes?this:(e||(e=t.pipes),t.pipes=null,t.pipesCount=0,t.flowing=!1,e&&e.emit("unpipe",this,n),this);if(!e){var r=t.pipes,i=t.pipesCount;t.pipes=null,t.pipesCount=0,t.flowing=!1;for(var s=0;s<i;s++)r[s].emit("unpipe",this,{hasUnpiped:!1});return this}var o=WXe(t.pipes,e);return o===-1?this:(t.pipes.splice(o,1),t.pipesCount-=1,t.pipesCount===1&&(t.pipes=t.pipes[0]),e.emit("unpipe",this,n),this)};nr.prototype.on=function(e,t){var n=tM.prototype.on.call(this,e,t),r=this._readableState;return e==="data"?(r.readableListening=this.listenerCount("readable")>0,r.flowing!==!1&&this.resume()):e==="readable"&&!r.endEmitted&&!r.readableListening&&(r.readableListening=r.needReadable=!0,r.flowing=!1,r.emittedReadable=!1,Rn("on readable",r.length,r.reading),r.length?Q2(this):r.reading||process.nextTick(Jyn,this)),n};nr.prototype.addListener=nr.prototype.on;nr.prototype.removeListener=function(e,t){var n=tM.prototype.removeListener.call(this,e,t);return e==="readable"&&process.nextTick(zXe,this),n};nr.prototype.removeAllListeners=function(e){var t=tM.prototype.removeAllListeners.apply(this,arguments);return(e==="readable"||e===void 0)&&process.nextTick(zXe,this),t};function zXe(e){var t=e._readableState;t.readableListening=e.listenerCount("readable")>0,t.resumeScheduled&&!t.paused?t.flowing=!0:e.listenerCount("data")>0&&e.resume()}function Jyn(e){Rn("readable nexttick read 0"),e.read(0)}nr.prototype.resume=function(){var e=this._readableState;return e.flowing||(Rn("resume"),e.flowing=!e.readableListening,Xyn(this,e)),e.paused=!1,this};function Xyn(e,t){t.resumeScheduled||(t.resumeScheduled=!0,process.nextTick(Qyn,e,t))}function Qyn(e,t){Rn("resume",t.reading),t.reading||e.read(0),t.resumeScheduled=!1,e.emit("resume"),Dae(e),t.flowing&&!t.reading&&e.read(0)}nr.prototype.pause=function(){return Rn("call pause flowing=%j",this._readableState.flowing),this._readableState.flowing!==!1&&(Rn("pause"),this._readableState.flowing=!1,this.emit("pause")),this._readableState.paused=!0,this};function Dae(e){var t=e._readableState;for(Rn("flow",t.flowing);t.flowing&&e.read()!==null;);}nr.prototype.wrap=function(e){var t=this,n=this._readableState,r=!1;e.on("end",function(){if(Rn("wrapped end"),n.decoder&&!n.ended){var o=n.decoder.end();o&&o.length&&t.push(o)}t.push(null)}),e.on("data",function(o){if(Rn("wrapped data"),n.decoder&&(o=n.decoder.write(o)),!(n.objectMode&&o==null)&&!(!n.objectMode&&(!o||!o.length))){var a=t.push(o);a||(r=!0,e.pause())}});for(var i in e)this[i]===void 0&&typeof e[i]=="function"&&(this[i]=(function(a){return function(){return e[a].apply(e,arguments)}})(i));for(var s=0;s<Oae.length;s++)e.on(Oae[s],this.emit.bind(this,Oae[s]));return this._read=function(o){Rn("wrapped _read",o),r&&(r=!1,e.resume())},this};typeof Symbol=="function"&&(nr.prototype[Symbol.asyncIterator]=function(){return Iae===void 0&&(Iae=CXe()),Iae(this)});Object.defineProperty(nr.prototype,"readableHighWaterMark",{enumerable:!1,get:function(){return this._readableState.highWaterMark}});Object.defineProperty(nr.prototype,"readableBuffer",{enumerable:!1,get:function(){return this._readableState&&this._readableState.buffer}});Object.defineProperty(nr.prototype,"readableFlowing",{enumerable:!1,get:function(){return 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s;e.length===0?(s=e(),s?.then?s.then(function(){process.nextTick(i)},i):process.nextTick(i)):e.length===1?(s=e(this),s?.then?s.then(function(){process.nextTick(i)},i):process.nextTick(i)):e(this,i)}}function Wae(e,t){let n=r.bind(t);return n.unwrappedName=e.name,n;function r(i,s){let o;e?e.length===0?(o=e(),o?.then?o.then(function(){process.nextTick(s,i)},s):process.nextTick(s,i)):e.length===1?(o=e(i),o?.then?o.then(function(){process.nextTick(s)},s):process.nextTick(s)):e.length===2?e(i,s):e(i,this,s):process.nextTick(s)}}uQe.exports=Ms});var $s=w((gKr,dQe)=>{"use strict";var vEn={kAvvioBoot:Symbol("fastify.avvioBoot"),kChildren:Symbol("fastify.children"),kServerBindings:Symbol("fastify.serverBindings"),kBodyLimit:Symbol("fastify.bodyLimit"),kSupportedHTTPMethods:Symbol("fastify.acceptedHTTPMethods"),kRoutePrefix:Symbol("fastify.routePrefix"),kLogLevel:Symbol("fastify.logLevel"),kLogSerializers:Symbol("fastify.logSerializers"),kHooks:Symbol("fastify.hooks"),kContentTypeParser:Symbol("fastify.contentTypeParser"),kState:Symbol("fastify.state"),kOptions:Symbol("fastify.options"),kDisableRequestLogging:Symbol("fastify.disableRequestLogging"),kPluginNameChain:Symbol("fastify.pluginNameChain"),kRouteContext:Symbol("fastify.context"),kGenReqId:Symbol("fastify.genReqId"),kHttp2ServerSessions:Symbol("fastify.http2ServerSessions"),kSchemaController:Symbol("fastify.schemaController"),kSchemaHeaders:Symbol("headers-schema"),kSchemaParams:Symbol("params-schema"),kSchemaQuerystring:Symbol("querystring-schema"),kSchemaBody:Symbol("body-schema"),kSchemaResponse:Symbol("response-schema"),kSchemaErrorFormatter:Symbol("fastify.schemaErrorFormatter"),kSchemaVisited:Symbol("fastify.schemas.visited"),kRequest:Symbol("fastify.Request"),kRequestPayloadStream:Symbol("fastify.RequestPayloadStream"),kRequestAcceptVersion:Symbol("fastify.RequestAcceptVersion"),kRequestCacheValidateFns:Symbol("fastify.request.cache.validateFns"),kRequestOriginalUrl:Symbol("fastify.request.originalUrl"),kRequestSignal:Symbol("fastify.request.signal"),kHandlerTimeout:Symbol("fastify.handlerTimeout"),kTimeoutTimer:Symbol("fastify.request.timeoutTimer"),kOnAbort:Symbol("fastify.request.onAbort"),kFourOhFour:Symbol("fastify.404"),kCanSetNotFoundHandler:Symbol("fastify.canSetNotFoundHandler"),kFourOhFourLevelInstance:Symbol("fastify.404LogLevelInstance"),kFourOhFourContext:Symbol("fastify.404ContextKey"),kDefaultJsonParse:Symbol("fastify.defaultJSONParse"),kReply:Symbol("fastify.Reply"),kReplySerializer:Symbol("fastify.reply.serializer"),kReplyIsError:Symbol("fastify.reply.isError"),kReplyHeaders:Symbol("fastify.reply.headers"),kReplyTrailers:Symbol("fastify.reply.trailers"),kReplyHasStatusCode:Symbol("fastify.reply.hasStatusCode"),kReplyHijacked:Symbol("fastify.reply.hijacked"),kReplyStartTime:Symbol("fastify.reply.startTime"),kReplyNextErrorHandler:Symbol("fastify.reply.nextErrorHandler"),kReplyEndTime:Symbol("fastify.reply.endTime"),kReplyErrorHandlerCalled:Symbol("fastify.reply.errorHandlerCalled"),kReplyIsRunningOnErrorHook:Symbol("fastify.reply.isRunningOnErrorHook"),kReplySerializerDefault:Symbol("fastify.replySerializerDefault"),kReplyCacheSerializeFns:Symbol("fastify.reply.cache.serializeFns"),kTestInternals:Symbol("fastify.testInternals"),kErrorHandler:Symbol("fastify.errorHandler"),kErrorHandlerAlreadySet:Symbol("fastify.errorHandlerAlreadySet"),kChildLoggerFactory:Symbol("fastify.childLoggerFactory"),kHasBeenDecorated:Symbol("fastify.hasBeenDecorated"),kKeepAliveConnections:Symbol("fastify.keepAliveConnections"),kRouteByFastify:Symbol("fastify.routeByFastify")};dQe.exports=vEn});var pQe=w((yKr,dW)=>{"use strict";var{format:Kae}=Z("node:util");function AEn(e){return fQe({...e,name:"DeprecationWarning"})}function fQe({name:e,code:t,message:n,unlimited:r=!1}={}){if(!e)throw new Error("Warning name must not be empty");if(!t)throw new Error("Warning code must not be empty");if(!n)throw new Error("Warning message must not be empty");if(typeof r!="boolean")throw new Error("Warning opts.unlimited must be a boolean");t=t.toUpperCase();let i={[e]:function(o,a,c){s.emitted===!0&&s.unlimited!==!0||(s.emitted=!0,process.emitWarning(s.format(o,a,c),s.name,s.code))}};r&&(i={[e]:function(o,a,c){s.emitted=!0,process.emitWarning(s.format(o,a,c),s.name,s.code)}});let s=i[e];return s.emitted=!1,s.message=n,s.unlimited=r,s.code=t,s.format=function(o,a,c){let u;return o&&a&&c?u=Kae(n,o,a,c):o&&a?u=Kae(n,o,a):o?u=Kae(n,o):u=n,u},s}var Zae={createWarning:fQe,createDeprecation:AEn};dW.exports=Zae;dW.exports.default=Zae;dW.exports.processWarning=Zae});var xk=w((SKr,hQe)=>{"use strict";var{createWarning:aM}=pQe(),REn=aM({name:"FastifyWarning",code:"FSTWRN001",message:"The %s schema for %s: %s is missing. This may indicate the schema is not well specified.",unlimited:!0}),wEn=aM({name:"FastifyWarning",code:"FSTWRN003",message:"The %s mixes async and callback styles that may lead to unhandled rejections. Please use only one of them.",unlimited:!0}),kEn=aM({name:"FastifyWarning",code:"FSTWRN004",message:"It seems that you are overriding an errorHandler in the same scope, which can lead to subtle bugs.",unlimited:!0}),IEn=aM({name:"FastifySecurity",code:"FSTSEC001",message:'You are using /%s/ Content-Type which may be vulnerable to CORS attack. Please make sure your RegExp start with "^" or include ";?" to proper detection of the essence MIME type.',unlimited:!0}),xEn=aM({name:"FastifyWarning",code:"FSTDEP022",message:'The router options for %s property access is deprecated. Please use "options.routerOptions" instead for accessing router options. The router options will be removed in `fastify@6`.',unlimited:!0});hQe.exports={FSTWRN001:REn,FSTWRN003:wEn,FSTWRN004:kEn,FSTSEC001:IEn,FSTDEP022:xEn}});var Ko=w((EKr,fW)=>{"use strict";var je=oW(),tT={FST_ERR_NOT_FOUND:je("FST_ERR_NOT_FOUND","Not Found",404),FST_ERR_OPTIONS_NOT_OBJ:je("FST_ERR_OPTIONS_NOT_OBJ","Options must be an object",500,TypeError),FST_ERR_QSP_NOT_FN:je("FST_ERR_QSP_NOT_FN","querystringParser option should be a function, instead got '%s'",500,TypeError),FST_ERR_SCHEMA_CONTROLLER_BUCKET_OPT_NOT_FN:je("FST_ERR_SCHEMA_CONTROLLER_BUCKET_OPT_NOT_FN","schemaController.bucket option should be a function, instead got '%s'",500,TypeError),FST_ERR_SCHEMA_ERROR_FORMATTER_NOT_FN:je("FST_ERR_SCHEMA_ERROR_FORMATTER_NOT_FN","schemaErrorFormatter option should be a non async function. Instead got '%s'.",500,TypeError),FST_ERR_AJV_CUSTOM_OPTIONS_OPT_NOT_OBJ:je("FST_ERR_AJV_CUSTOM_OPTIONS_OPT_NOT_OBJ","ajv.customOptions option should be an object, instead got '%s'",500,TypeError),FST_ERR_AJV_CUSTOM_OPTIONS_OPT_NOT_ARR:je("FST_ERR_AJV_CUSTOM_OPTIONS_OPT_NOT_ARR","ajv.plugins option should be an array, instead got '%s'",500,TypeError),FST_ERR_VALIDATION:je("FST_ERR_VALIDATION","%s",400),FST_ERR_LISTEN_OPTIONS_INVALID:je("FST_ERR_LISTEN_OPTIONS_INVALID","Invalid listen options: '%s'",500,TypeError),FST_ERR_ERROR_HANDLER_NOT_FN:je("FST_ERR_ERROR_HANDLER_NOT_FN","Error Handler must be a function",500,TypeError),FST_ERR_ERROR_HANDLER_ALREADY_SET:je("FST_ERR_ERROR_HANDLER_ALREADY_SET","Error Handler already set in this scope. Set 'allowErrorHandlerOverride: true' to allow overriding.",500,TypeError),FST_ERR_CTP_ALREADY_PRESENT:je("FST_ERR_CTP_ALREADY_PRESENT","Content type parser '%s' already present."),FST_ERR_CTP_INVALID_TYPE:je("FST_ERR_CTP_INVALID_TYPE","The content type should be a string or a RegExp",500,TypeError),FST_ERR_CTP_EMPTY_TYPE:je("FST_ERR_CTP_EMPTY_TYPE","The content type cannot be an empty string",500,TypeError),FST_ERR_CTP_INVALID_HANDLER:je("FST_ERR_CTP_INVALID_HANDLER","The content type handler should be a function",500,TypeError),FST_ERR_CTP_INVALID_PARSE_TYPE:je("FST_ERR_CTP_INVALID_PARSE_TYPE","The body parser can only parse your data as 'string' or 'buffer', you asked '%s' which is not supported.",500,TypeError),FST_ERR_CTP_BODY_TOO_LARGE:je("FST_ERR_CTP_BODY_TOO_LARGE","Request body is too large",413,RangeError),FST_ERR_CTP_INVALID_MEDIA_TYPE:je("FST_ERR_CTP_INVALID_MEDIA_TYPE","Unsupported Media Type",415),FST_ERR_CTP_INVALID_CONTENT_LENGTH:je("FST_ERR_CTP_INVALID_CONTENT_LENGTH","Request body size did not match Content-Length",400,RangeError),FST_ERR_CTP_EMPTY_JSON_BODY:je("FST_ERR_CTP_EMPTY_JSON_BODY","Body cannot be empty when content-type is set to 'application/json'",400),FST_ERR_CTP_INVALID_JSON_BODY:je("FST_ERR_CTP_INVALID_JSON_BODY","Body is not valid JSON but content-type is set to 'application/json'",400),FST_ERR_CTP_INSTANCE_ALREADY_STARTED:je("FST_ERR_CTP_INSTANCE_ALREADY_STARTED",'Cannot call "%s" when fastify instance is already started!',400),FST_ERR_DEC_ALREADY_PRESENT:je("FST_ERR_DEC_ALREADY_PRESENT","The decorator '%s' has already been added!"),FST_ERR_DEC_DEPENDENCY_INVALID_TYPE:je("FST_ERR_DEC_DEPENDENCY_INVALID_TYPE","The dependencies of decorator '%s' must be of type Array.",500,TypeError),FST_ERR_DEC_MISSING_DEPENDENCY:je("FST_ERR_DEC_MISSING_DEPENDENCY","The decorator is missing dependency '%s'."),FST_ERR_DEC_AFTER_START:je("FST_ERR_DEC_AFTER_START","The decorator '%s' has been added after start!"),FST_ERR_DEC_REFERENCE_TYPE:je("FST_ERR_DEC_REFERENCE_TYPE","The decorator '%s' of type '%s' is a reference type. Use the { getter, setter } interface instead."),FST_ERR_DEC_UNDECLARED:je("FST_ERR_DEC_UNDECLARED","No decorator '%s' has been declared on %s."),FST_ERR_HOOK_INVALID_TYPE:je("FST_ERR_HOOK_INVALID_TYPE","The hook name must be a string",500,TypeError),FST_ERR_HOOK_INVALID_HANDLER:je("FST_ERR_HOOK_INVALID_HANDLER","%s hook should be a function, instead got %s",500,TypeError),FST_ERR_HOOK_INVALID_ASYNC_HANDLER:je("FST_ERR_HOOK_INVALID_ASYNC_HANDLER","Async function has too many arguments. Async hooks should not use the 'done' argument.",500,TypeError),FST_ERR_HOOK_NOT_SUPPORTED:je("FST_ERR_HOOK_NOT_SUPPORTED","%s hook not supported!",500,TypeError),FST_ERR_MISSING_MIDDLEWARE:je("FST_ERR_MISSING_MIDDLEWARE","You must register a plugin for handling middlewares, visit fastify.dev/docs/latest/Reference/Middleware/ for more info.",500),FST_ERR_HOOK_TIMEOUT:je("FST_ERR_HOOK_TIMEOUT","A callback for '%s' hook%s timed out. You may have forgotten to call 'done' function or to resolve a Promise"),FST_ERR_LOG_INVALID_DESTINATION:je("FST_ERR_LOG_INVALID_DESTINATION","Cannot specify both logger.stream and logger.file options"),FST_ERR_LOG_INVALID_LOGGER:je("FST_ERR_LOG_INVALID_LOGGER","Invalid logger object provided. The logger instance should have these functions(s): '%s'.",500,TypeError),FST_ERR_LOG_INVALID_LOGGER_INSTANCE:je("FST_ERR_LOG_INVALID_LOGGER_INSTANCE","loggerInstance only accepts a logger instance.",500,TypeError),FST_ERR_LOG_INVALID_LOGGER_CONFIG:je("FST_ERR_LOG_INVALID_LOGGER_CONFIG","logger options only accepts a configuration object.",500,TypeError),FST_ERR_LOG_LOGGER_AND_LOGGER_INSTANCE_PROVIDED:je("FST_ERR_LOG_LOGGER_AND_LOGGER_INSTANCE_PROVIDED","You cannot provide both logger and loggerInstance. Please provide only one.",500,TypeError),FST_ERR_REP_INVALID_PAYLOAD_TYPE:je("FST_ERR_REP_INVALID_PAYLOAD_TYPE","Attempted to send payload of invalid type '%s'. Expected a string or Buffer.",500,TypeError),FST_ERR_REP_RESPONSE_BODY_CONSUMED:je("FST_ERR_REP_RESPONSE_BODY_CONSUMED","Response.body is already consumed."),FST_ERR_REP_READABLE_STREAM_LOCKED:je("FST_ERR_REP_READABLE_STREAM_LOCKED","ReadableStream was locked. You should call releaseLock() method on reader before sending."),FST_ERR_REP_ALREADY_SENT:je("FST_ERR_REP_ALREADY_SENT",'Reply was already sent, did you forget to "return reply" in "%s" (%s)?'),FST_ERR_REP_SENT_VALUE:je("FST_ERR_REP_SENT_VALUE","The only possible value for reply.sent is true.",500,TypeError),FST_ERR_SEND_INSIDE_ONERR:je("FST_ERR_SEND_INSIDE_ONERR","You cannot use `send` inside the `onError` hook"),FST_ERR_SEND_UNDEFINED_ERR:je("FST_ERR_SEND_UNDEFINED_ERR","Undefined error has occurred"),FST_ERR_BAD_STATUS_CODE:je("FST_ERR_BAD_STATUS_CODE","Called reply with an invalid status code: %s"),FST_ERR_BAD_TRAILER_NAME:je("FST_ERR_BAD_TRAILER_NAME","Called reply.trailer with an invalid header name: %s"),FST_ERR_BAD_TRAILER_VALUE:je("FST_ERR_BAD_TRAILER_VALUE","Called reply.trailer('%s', fn) with an invalid type: %s. Expected a function."),FST_ERR_FAILED_ERROR_SERIALIZATION:je("FST_ERR_FAILED_ERROR_SERIALIZATION","Failed to serialize an error. Error: %s. Original error: %s"),FST_ERR_MISSING_SERIALIZATION_FN:je("FST_ERR_MISSING_SERIALIZATION_FN",'Missing serialization function. Key "%s"'),FST_ERR_MISSING_CONTENTTYPE_SERIALIZATION_FN:je("FST_ERR_MISSING_CONTENTTYPE_SERIALIZATION_FN",'Missing serialization function. Key "%s:%s"'),FST_ERR_REQ_INVALID_VALIDATION_INVOCATION:je("FST_ERR_REQ_INVALID_VALIDATION_INVOCATION",'Invalid validation invocation. Missing validation function for HTTP part "%s" nor schema provided.'),FST_ERR_SCH_MISSING_ID:je("FST_ERR_SCH_MISSING_ID","Missing schema $id property"),FST_ERR_SCH_ALREADY_PRESENT:je("FST_ERR_SCH_ALREADY_PRESENT","Schema with id '%s' already declared!"),FST_ERR_SCH_CONTENT_MISSING_SCHEMA:je("FST_ERR_SCH_CONTENT_MISSING_SCHEMA","Schema is missing for the content type '%s'"),FST_ERR_SCH_DUPLICATE:je("FST_ERR_SCH_DUPLICATE","Schema with '%s' already present!"),FST_ERR_SCH_VALIDATION_BUILD:je("FST_ERR_SCH_VALIDATION_BUILD","Failed building the validation schema for %s: %s, due to error %s"),FST_ERR_SCH_SERIALIZATION_BUILD:je("FST_ERR_SCH_SERIALIZATION_BUILD","Failed building the serialization schema for %s: %s, due to error %s"),FST_ERR_SCH_RESPONSE_SCHEMA_NOT_NESTED_2XX:je("FST_ERR_SCH_RESPONSE_SCHEMA_NOT_NESTED_2XX",'response schemas should be nested under a valid status code, e.g { 2xx: { type: "object" } }'),FST_ERR_INIT_OPTS_INVALID:je("FST_ERR_INIT_OPTS_INVALID","Invalid initialization options: '%s'"),FST_ERR_FORCE_CLOSE_CONNECTIONS_IDLE_NOT_AVAILABLE:je("FST_ERR_FORCE_CLOSE_CONNECTIONS_IDLE_NOT_AVAILABLE","Cannot set forceCloseConnections to 'idle' as your HTTP server does not support closeIdleConnections method"),FST_ERR_DUPLICATED_ROUTE:je("FST_ERR_DUPLICATED_ROUTE","Method '%s' already declared for route '%s'"),FST_ERR_BAD_URL:je("FST_ERR_BAD_URL","'%s' is not a valid url component",400,URIError),FST_ERR_ASYNC_CONSTRAINT:je("FST_ERR_ASYNC_CONSTRAINT","Unexpected error from async constraint",500),FST_ERR_INVALID_URL:je("FST_ERR_INVALID_URL","URL must be a string. Received '%s'",400,TypeError),FST_ERR_ROUTE_OPTIONS_NOT_OBJ:je("FST_ERR_ROUTE_OPTIONS_NOT_OBJ",'Options for "%s:%s" route must be an object',500,TypeError),FST_ERR_ROUTE_DUPLICATED_HANDLER:je("FST_ERR_ROUTE_DUPLICATED_HANDLER",'Duplicate handler for "%s:%s" route is not allowed!',500),FST_ERR_ROUTE_HANDLER_NOT_FN:je("FST_ERR_ROUTE_HANDLER_NOT_FN","Error Handler for %s:%s route, if defined, must be a function",500,TypeError),FST_ERR_ROUTE_MISSING_HANDLER:je("FST_ERR_ROUTE_MISSING_HANDLER",'Missing handler function for "%s:%s" route.',500),FST_ERR_ROUTE_METHOD_INVALID:je("FST_ERR_ROUTE_METHOD_INVALID","Provided method is invalid!",500,TypeError),FST_ERR_ROUTE_METHOD_NOT_SUPPORTED:je("FST_ERR_ROUTE_METHOD_NOT_SUPPORTED","%s method is not supported.",500),FST_ERR_ROUTE_BODY_VALIDATION_SCHEMA_NOT_SUPPORTED:je("FST_ERR_ROUTE_BODY_VALIDATION_SCHEMA_NOT_SUPPORTED","Body validation schema for %s:%s route is not supported!",500),FST_ERR_ROUTE_BODY_LIMIT_OPTION_NOT_INT:je("FST_ERR_ROUTE_BODY_LIMIT_OPTION_NOT_INT","'bodyLimit' option must be an integer > 0. Got '%s'",500,TypeError),FST_ERR_HANDLER_TIMEOUT:je("FST_ERR_HANDLER_TIMEOUT","Request timed out after %s ms on route '%s'",503),FST_ERR_ROUTE_HANDLER_TIMEOUT_OPTION_NOT_INT:je("FST_ERR_ROUTE_HANDLER_TIMEOUT_OPTION_NOT_INT","'handlerTimeout' option must be an integer > 0. Got '%s'",500,TypeError),FST_ERR_ROUTE_REWRITE_NOT_STR:je("FST_ERR_ROUTE_REWRITE_NOT_STR",'Rewrite url for "%s" needs to be of type "string" but received "%s"',500,TypeError),FST_ERR_REOPENED_CLOSE_SERVER:je("FST_ERR_REOPENED_CLOSE_SERVER","Fastify has already been closed and cannot be reopened"),FST_ERR_REOPENED_SERVER:je("FST_ERR_REOPENED_SERVER","Fastify is already listening"),FST_ERR_INSTANCE_ALREADY_LISTENING:je("FST_ERR_INSTANCE_ALREADY_LISTENING","Fastify instance is already listening. %s"),FST_ERR_PLUGIN_VERSION_MISMATCH:je("FST_ERR_PLUGIN_VERSION_MISMATCH","fastify-plugin: %s - expected '%s' fastify version, '%s' is installed"),FST_ERR_PLUGIN_NOT_PRESENT_IN_INSTANCE:je("FST_ERR_PLUGIN_NOT_PRESENT_IN_INSTANCE","The decorator '%s'%s is not present in %s"),FST_ERR_PLUGIN_INVALID_ASYNC_HANDLER:je("FST_ERR_PLUGIN_INVALID_ASYNC_HANDLER","The %s plugin being registered mixes async and callback styles. Async plugin should not mix async and callback style.",500,TypeError),FST_ERR_PLUGIN_CALLBACK_NOT_FN:je("FST_ERR_PLUGIN_CALLBACK_NOT_FN","fastify-plugin: %s",500,TypeError),FST_ERR_PLUGIN_NOT_VALID:je("FST_ERR_PLUGIN_NOT_VALID","fastify-plugin: %s"),FST_ERR_ROOT_PLG_BOOTED:je("FST_ERR_ROOT_PLG_BOOTED","fastify-plugin: %s"),FST_ERR_PARENT_PLUGIN_BOOTED:je("FST_ERR_PARENT_PLUGIN_BOOTED","fastify-plugin: %s"),FST_ERR_PLUGIN_TIMEOUT:je("FST_ERR_PLUGIN_TIMEOUT","fastify-plugin: %s")};function OEn(e,t){return t.cause=e,t}fW.exports=tT;fW.exports.appendStackTrace=OEn;fW.exports.AVVIO_ERRORS_MAP={AVV_ERR_CALLBACK_NOT_FN:tT.FST_ERR_PLUGIN_CALLBACK_NOT_FN,AVV_ERR_PLUGIN_NOT_VALID:tT.FST_ERR_PLUGIN_NOT_VALID,AVV_ERR_ROOT_PLG_BOOTED:tT.FST_ERR_ROOT_PLG_BOOTED,AVV_ERR_PARENT_PLG_LOADED:tT.FST_ERR_PARENT_PLUGIN_BOOTED,AVV_ERR_READY_TIMEOUT:tT.FST_ERR_PLUGIN_TIMEOUT,AVV_ERR_PLUGIN_EXEC_TIMEOUT:tT.FST_ERR_PLUGIN_TIMEOUT}});var WS=w((bKr,vQe)=>{"use strict";var NEn=["onRoute","onRegister","onReady","onListen","preClose","onClose"],SQe=["onTimeout","onRequest","preParsing","preValidation","preSerialization","preHandler","onSend","onResponse","onError","onRequestAbort"],PEn=SQe.concat(NEn),{FST_ERR_HOOK_INVALID_TYPE:CEn,FST_ERR_HOOK_INVALID_HANDLER:MEn,FST_ERR_SEND_UNDEFINED_ERR:pW,FST_ERR_HOOK_TIMEOUT:DEn,FST_ERR_HOOK_NOT_SUPPORTED:LEn,AVVIO_ERRORS_MAP:mQe,appendStackTrace:gQe}=Ko(),{kChildren:cM,kHooks:EQe,kRequestPayloadStream:yQe}=$s();function uM(){this.onRequest=[],this.preParsing=[],this.preValidation=[],this.preSerialization=[],this.preHandler=[],this.onResponse=[],this.onSend=[],this.onError=[],this.onRoute=[],this.onRegister=[],this.onReady=[],this.onListen=[],this.onTimeout=[],this.onRequestAbort=[],this.preClose=[]}uM.prototype=Object.create(null);uM.prototype.validate=function(e,t){if(typeof e!="string")throw new CEn;if(Array.isArray(this[e])===!1)throw new LEn(e);if(typeof t!="function")throw new MEn(e,Object.prototype.toString.call(t))};uM.prototype.add=function(e,t){this.validate(e,t),this[e].push(t)};function UEn(e){let t=new uM;return t.onRequest=e.onRequest.slice(),t.preParsing=e.preParsing.slice(),t.preValidation=e.preValidation.slice(),t.preSerialization=e.preSerialization.slice(),t.preHandler=e.preHandler.slice(),t.onSend=e.onSend.slice(),t.onResponse=e.onResponse.slice(),t.onError=e.onError.slice(),t.onRoute=e.onRoute.slice(),t.onRegister=e.onRegister.slice(),t.onTimeout=e.onTimeout.slice(),t.onRequestAbort=e.onRequestAbort.slice(),t.onReady=[],t.onListen=[],t.preClose=[],t}function bQe(e,t,n,r){let i=n[EQe][e],s=0,o=0;c();function a(l){let d=i[s-1]?.name,f=d?` "${d}"`:"";if(l){l.code==="AVV_ERR_READY_TIMEOUT"?l=gQe(l,new DEn(e,f)):l=mQe[l.code]!=null?gQe(l,new mQe[l.code](l.message)):l,r(l);return}r()}function c(l){if(l){a(l);return}if(s===i.length&&o===n[cM].length){s===0&&o===0?a():t(function(f,p){a(f),p(f)});return}if(s===i.length&&o<n[cM].length){let 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If(e);let{fd:t,dest:n,minLength:r,maxLength:i,maxWrite:s,periodicFlush:o,sync:a,append:c=!0,mkdir:u,retryEAGAIN:l,fsync:d,contentMode:f,mode:p}=e||{};t=t||n,this._len=0,this.fd=-1,this._bufs=[],this._lens=[],this._writing=!1,this._ending=!1,this._reopening=!1,this._asyncDrainScheduled=!1,this._flushPending=!1,this._hwm=Math.max(r||0,16387),this.file=null,this.destroyed=!1,this.minLength=r||0,this.maxLength=i||0,this.maxWrite=s||J_n,this._periodicFlush=o||0,this._periodicFlushTimer=void 0,this.sync=a||!1,this.writable=!0,this._fsync=d||!1,this.append=c||!1,this.mode=p,this.retryEAGAIN=l||(()=>!0),this.mkdir=u||!1;let h,m;if(f===L$e)this._writingBuf=IW,this.write=nTn,this.flush=iTn,this.flushSync=oTn,this._actualWrite=cTn,h=()=>Si.writeSync(this.fd,this._writingBuf),m=()=>Si.write(this.fd,this._writingBuf,this.release);else if(f===void 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this.maxLength&&t>this.maxLength?(this.emit("drop",e),this._len<this._hwm):(n.length===0||r[r.length-1]+e.length>this.maxWrite?(n.push([e]),r.push(e.length)):(n[n.length-1].push(e),r[r.length-1]+=e.length),this._len=t,!this._writing&&this._len>=this.minLength&&this._actualWrite(),this._len<this._hwm)}function H$e(e){this._flushPending=!0;let t=()=>{if(this._fsync)this._flushPending=!1,e();else try{Si.fsync(this.fd,r=>{this._flushPending=!1,e(r)})}catch(r){e(r)}this.off("error",n)},n=r=>{this._flushPending=!1,e(r),this.off("drain",t)};this.once("drain",t),this.once("error",n)}function rTn(e){if(e!=null&&typeof e!="function")throw new Error("flush cb must be a function");if(this.destroyed){let t=new Error("SonicBoom destroyed");if(e){e(t);return}throw t}if(this.minLength<=0){e?.();return}e&&H$e.call(this,e),!this._writing&&(this._bufs.length===0&&this._bufs.push(""),this._actualWrite())}function iTn(e){if(e!=null&&typeof e!="function")throw new Error("flush cb must be a 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sTn(){if(this.destroyed)throw new Error("SonicBoom destroyed");if(this.fd<0)throw new Error("sonic boom is not ready yet");!this._writing&&this._writingBuf.length>0&&(this._bufs.unshift(this._writingBuf),this._writingBuf="");let e="";for(;this._bufs.length||e.length;){e.length<=0&&(e=this._bufs[0]);try{let t=Buffer.isBuffer(e)?Si.writeSync(this.fd,e):Si.writeSync(this.fd,e,"utf8"),n=vce(e,this._len,t);e=n.writingBuf,this._len=n.len,e.length<=0&&this._bufs.shift()}catch(t){if((t.code==="EAGAIN"||t.code==="EBUSY")&&!this.retryEAGAIN(t,e.length,this._len-e.length))throw t;Ace(kW)}}try{Si.fsyncSync(this.fd)}catch{}}function oTn(){if(this.destroyed)throw new Error("SonicBoom destroyed");if(this.fd<0)throw new Error("sonic boom is not ready yet");!this._writing&&this._writingBuf.length>0&&(this._bufs.unshift([this._writingBuf]),this._writingBuf=IW);let e=IW;for(;this._bufs.length||e.length;){e.length<=0&&(e=j$e(this._bufs[0],this._lens[0]));try{let 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xW(e){if(e.fd===-1){e.once("ready",xW.bind(null,e));return}e._periodicFlushTimer!==void 0&&clearInterval(e._periodicFlushTimer),e.destroyed=!0,e._bufs=[],e._lens=[],Y_n(typeof e.fd=="number",`sonic.fd must be a number, got ${typeof e.fd}`);try{Si.fsync(e.fd,t)}catch{}function t(){e.fd!==1&&e.fd!==2?Si.close(e.fd,n):n()}function n(r){if(r){e.emit("error",r);return}e._ending&&!e._writing&&e.emit("finish"),e.emit("close")}}If.SonicBoom=If;If.default=If;q$e.exports=If});var Rce=w((VKr,K$e)=>{"use strict";var xf={exit:[],beforeExit:[]},G$e={exit:dTn,beforeExit:fTn},Mk;function uTn(){Mk===void 0&&(Mk=new FinalizationRegistry(pTn))}function lTn(e){xf[e].length>0||process.on(e,G$e[e])}function z$e(e){xf[e].length>0||(process.removeListener(e,G$e[e]),xf.exit.length===0&&xf.beforeExit.length===0&&(Mk=void 0))}function dTn(){V$e("exit")}function fTn(){V$e("beforeExit")}function V$e(e){for(let t of xf[e]){let n=t.deref(),r=t.fn;n!==void 0&&r(n,e)}xf[e]=[]}function pTn(e){for(let t 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SharedArrayBuffer(t.bufferSize||4*1024*1024),this[be].data=Buffer.from(this[be].dataBuf),this[be].sync=t.sync||!1,this[be].ending=!1,this[be].ended=!1,this[be].needDrain=!1,this[be].destroyed=!1,this[be].flushing=!1,this[be].ready=!1,this[be].finished=!1,this[be].errored=null,this[be].closed=!1,this[be].buf="",this.worker=NTn(this,t),this.on("message",(n,r)=>{this.worker.postMessage(n,r)})}write(t){if(this[be].destroyed)return Ice(this,new Error("the worker has exited")),!1;if(this[be].ending)return Ice(this,new Error("the worker is ending")),!1;if(this[be].flushing&&this[be].buf.length+t.length>=ITn)try{wce(this),this[be].flushing=!0}catch(n){return Th(this,n),!1}if(this[be].buf+=t,this[be].sync)try{return wce(this),!0}catch(n){return Th(this,n),!1}return 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t=e._readableState;An("emitReadable_",t.destroyed,t.length,t.ended),!t.destroyed&&(t.length||t.ended)&&(e.emit("readable"),t.emittedReadable=!1),t.needReadable=!t.flowing&&!t.ended&&t.length<=t.highWaterMark,Yae(e)}function Wae(e,t){t.readingMore||(t.readingMore=!0,process.nextTick(lSn,e,t))}function lSn(e,t){for(;!t.reading&&!t.ended&&(t.length<t.highWaterMark||t.flowing&&t.length===0);){var n=t.length;if(An("maybeReadMore read 0"),e.read(0),n===t.length)break}t.readingMore=!1}nr.prototype._read=function(e){aM(this,new iSn("_read()"))};nr.prototype.pipe=function(e,t){var n=this,r=this._readableState;switch(r.pipesCount){case 0:r.pipes=e;break;case 1:r.pipes=[r.pipes,e];break;default:r.pipes.push(e);break}r.pipesCount+=1,An("pipe count=%d opts=%j",r.pipesCount,t);var i=(!t||t.end!==!1)&&e!==process.stdout&&e!==process.stderr,s=i?a:m;r.endEmitted?process.nextTick(s):n.once("end",s),e.on("unpipe",o);function 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e==="data"?(r.readableListening=this.listenerCount("readable")>0,r.flowing!==!1&&this.resume()):e==="readable"&&!r.endEmitted&&!r.readableListening&&(r.readableListening=r.needReadable=!0,r.flowing=!1,r.emittedReadable=!1,An("on readable",r.length,r.reading),r.length?dW(this):r.reading||process.nextTick(fSn,this)),n};nr.prototype.addListener=nr.prototype.on;nr.prototype.removeListener=function(e,t){var n=cM.prototype.removeListener.call(this,e,t);return e==="readable"&&process.nextTick(nXe,this),n};nr.prototype.removeAllListeners=function(e){var t=cM.prototype.removeAllListeners.apply(this,arguments);return(e==="readable"||e===void 0)&&process.nextTick(nXe,this),t};function nXe(e){var t=e._readableState;t.readableListening=e.listenerCount("readable")>0,t.resumeScheduled&&!t.paused?t.flowing=!0:e.listenerCount("data")>0&&e.resume()}function fSn(e){An("readable nexttick read 0"),e.read(0)}nr.prototype.resume=function(){var e=this._readableState;return 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strict";var{createWarning:hM}=AQe(),qbn=hM({name:"FastifyWarning",code:"FSTWRN001",message:"The %s schema for %s: %s is missing. This may indicate the schema is not well specified.",unlimited:!0}),Bbn=hM({name:"FastifyWarning",code:"FSTWRN003",message:"The %s mixes async and callback styles that may lead to unhandled rejections. Please use only one of them.",unlimited:!0}),zbn=hM({name:"FastifyWarning",code:"FSTWRN004",message:"It seems that you are overriding an errorHandler in the same scope, which can lead to subtle bugs.",unlimited:!0}),Gbn=hM({name:"FastifySecurity",code:"FSTSEC001",message:'You are using /%s/ Content-Type which may be vulnerable to CORS attack. Please make sure your RegExp start with "^" or include ";?" to proper detection of the essence MIME type.',unlimited:!0}),Vbn=hM({name:"FastifyWarning",code:"FSTDEP022",message:'The router options for %s property access is deprecated. Please use "options.routerOptions" instead for accessing router options. The router options will be removed in `fastify@6`.',unlimited:!0});wQe.exports={FSTWRN001:qbn,FSTWRN003:Bbn,FSTWRN004:zbn,FSTSEC001:Gbn,FSTDEP022:Vbn}});var Ko=w((tKr,AW)=>{"use strict";var je=bW(),rT={FST_ERR_NOT_FOUND:je("FST_ERR_NOT_FOUND","Not Found",404),FST_ERR_OPTIONS_NOT_OBJ:je("FST_ERR_OPTIONS_NOT_OBJ","Options must be an object",500,TypeError),FST_ERR_QSP_NOT_FN:je("FST_ERR_QSP_NOT_FN","querystringParser option should be a function, instead got '%s'",500,TypeError),FST_ERR_SCHEMA_CONTROLLER_BUCKET_OPT_NOT_FN:je("FST_ERR_SCHEMA_CONTROLLER_BUCKET_OPT_NOT_FN","schemaController.bucket option should be a function, instead got '%s'",500,TypeError),FST_ERR_SCHEMA_ERROR_FORMATTER_NOT_FN:je("FST_ERR_SCHEMA_ERROR_FORMATTER_NOT_FN","schemaErrorFormatter option should be a non async function. Instead got '%s'.",500,TypeError),FST_ERR_AJV_CUSTOM_OPTIONS_OPT_NOT_OBJ:je("FST_ERR_AJV_CUSTOM_OPTIONS_OPT_NOT_OBJ","ajv.customOptions option should be an object, instead got '%s'",500,TypeError),FST_ERR_AJV_CUSTOM_OPTIONS_OPT_NOT_ARR:je("FST_ERR_AJV_CUSTOM_OPTIONS_OPT_NOT_ARR","ajv.plugins option should be an array, instead got '%s'",500,TypeError),FST_ERR_VALIDATION:je("FST_ERR_VALIDATION","%s",400),FST_ERR_LISTEN_OPTIONS_INVALID:je("FST_ERR_LISTEN_OPTIONS_INVALID","Invalid listen options: '%s'",500,TypeError),FST_ERR_ERROR_HANDLER_NOT_FN:je("FST_ERR_ERROR_HANDLER_NOT_FN","Error Handler must be a function",500,TypeError),FST_ERR_ERROR_HANDLER_ALREADY_SET:je("FST_ERR_ERROR_HANDLER_ALREADY_SET","Error Handler already set in this scope. Set 'allowErrorHandlerOverride: true' to allow overriding.",500,TypeError),FST_ERR_CTP_ALREADY_PRESENT:je("FST_ERR_CTP_ALREADY_PRESENT","Content type parser '%s' already present."),FST_ERR_CTP_INVALID_TYPE:je("FST_ERR_CTP_INVALID_TYPE","The content type should be a string or a RegExp",500,TypeError),FST_ERR_CTP_EMPTY_TYPE:je("FST_ERR_CTP_EMPTY_TYPE","The content type cannot be an empty string",500,TypeError),FST_ERR_CTP_INVALID_HANDLER:je("FST_ERR_CTP_INVALID_HANDLER","The content type handler should be a function",500,TypeError),FST_ERR_CTP_INVALID_PARSE_TYPE:je("FST_ERR_CTP_INVALID_PARSE_TYPE","The body parser can only parse your data as 'string' or 'buffer', you asked '%s' which is not supported.",500,TypeError),FST_ERR_CTP_BODY_TOO_LARGE:je("FST_ERR_CTP_BODY_TOO_LARGE","Request body is too large",413,RangeError),FST_ERR_CTP_INVALID_MEDIA_TYPE:je("FST_ERR_CTP_INVALID_MEDIA_TYPE","Unsupported Media Type",415),FST_ERR_CTP_INVALID_CONTENT_LENGTH:je("FST_ERR_CTP_INVALID_CONTENT_LENGTH","Request body size did not match Content-Length",400,RangeError),FST_ERR_CTP_EMPTY_JSON_BODY:je("FST_ERR_CTP_EMPTY_JSON_BODY","Body cannot be empty when content-type is set to 'application/json'",400),FST_ERR_CTP_INVALID_JSON_BODY:je("FST_ERR_CTP_INVALID_JSON_BODY","Body is not valid JSON but content-type is set to 'application/json'",400),FST_ERR_CTP_INSTANCE_ALREADY_STARTED:je("FST_ERR_CTP_INSTANCE_ALREADY_STARTED",'Cannot call "%s" when fastify instance is already started!',400),FST_ERR_DEC_ALREADY_PRESENT:je("FST_ERR_DEC_ALREADY_PRESENT","The decorator '%s' has already been added!"),FST_ERR_DEC_DEPENDENCY_INVALID_TYPE:je("FST_ERR_DEC_DEPENDENCY_INVALID_TYPE","The dependencies of decorator '%s' must be of type Array.",500,TypeError),FST_ERR_DEC_MISSING_DEPENDENCY:je("FST_ERR_DEC_MISSING_DEPENDENCY","The decorator is missing dependency '%s'."),FST_ERR_DEC_AFTER_START:je("FST_ERR_DEC_AFTER_START","The decorator '%s' has been added after start!"),FST_ERR_DEC_REFERENCE_TYPE:je("FST_ERR_DEC_REFERENCE_TYPE","The decorator '%s' of type '%s' is a reference type. Use the { getter, setter } interface instead."),FST_ERR_DEC_UNDECLARED:je("FST_ERR_DEC_UNDECLARED","No decorator '%s' has been declared on %s."),FST_ERR_HOOK_INVALID_TYPE:je("FST_ERR_HOOK_INVALID_TYPE","The hook name must be a string",500,TypeError),FST_ERR_HOOK_INVALID_HANDLER:je("FST_ERR_HOOK_INVALID_HANDLER","%s hook should be a function, instead got %s",500,TypeError),FST_ERR_HOOK_INVALID_ASYNC_HANDLER:je("FST_ERR_HOOK_INVALID_ASYNC_HANDLER","Async function has too many arguments. Async hooks should not use the 'done' argument.",500,TypeError),FST_ERR_HOOK_NOT_SUPPORTED:je("FST_ERR_HOOK_NOT_SUPPORTED","%s hook not supported!",500,TypeError),FST_ERR_MISSING_MIDDLEWARE:je("FST_ERR_MISSING_MIDDLEWARE","You must register a plugin for handling middlewares, visit fastify.dev/docs/latest/Reference/Middleware/ for more info.",500),FST_ERR_HOOK_TIMEOUT:je("FST_ERR_HOOK_TIMEOUT","A callback for '%s' hook%s timed out. You may have forgotten to call 'done' function or to resolve a Promise"),FST_ERR_LOG_INVALID_DESTINATION:je("FST_ERR_LOG_INVALID_DESTINATION","Cannot specify both logger.stream and logger.file options"),FST_ERR_LOG_INVALID_LOGGER:je("FST_ERR_LOG_INVALID_LOGGER","Invalid logger object provided. The logger instance should have these functions(s): '%s'.",500,TypeError),FST_ERR_LOG_INVALID_LOGGER_INSTANCE:je("FST_ERR_LOG_INVALID_LOGGER_INSTANCE","loggerInstance only accepts a logger instance.",500,TypeError),FST_ERR_LOG_INVALID_LOGGER_CONFIG:je("FST_ERR_LOG_INVALID_LOGGER_CONFIG","logger options only accepts a configuration object.",500,TypeError),FST_ERR_LOG_LOGGER_AND_LOGGER_INSTANCE_PROVIDED:je("FST_ERR_LOG_LOGGER_AND_LOGGER_INSTANCE_PROVIDED","You cannot provide both logger and loggerInstance. Please provide only one.",500,TypeError),FST_ERR_REP_INVALID_PAYLOAD_TYPE:je("FST_ERR_REP_INVALID_PAYLOAD_TYPE","Attempted to send payload of invalid type '%s'. Expected a string or Buffer.",500,TypeError),FST_ERR_REP_RESPONSE_BODY_CONSUMED:je("FST_ERR_REP_RESPONSE_BODY_CONSUMED","Response.body is already consumed."),FST_ERR_REP_READABLE_STREAM_LOCKED:je("FST_ERR_REP_READABLE_STREAM_LOCKED","ReadableStream was locked. You should call releaseLock() method on reader before sending."),FST_ERR_REP_ALREADY_SENT:je("FST_ERR_REP_ALREADY_SENT",'Reply was already sent, did you forget to "return reply" in "%s" (%s)?'),FST_ERR_REP_SENT_VALUE:je("FST_ERR_REP_SENT_VALUE","The only possible value for reply.sent is true.",500,TypeError),FST_ERR_SEND_INSIDE_ONERR:je("FST_ERR_SEND_INSIDE_ONERR","You cannot use `send` inside the `onError` hook"),FST_ERR_SEND_UNDEFINED_ERR:je("FST_ERR_SEND_UNDEFINED_ERR","Undefined error has occurred"),FST_ERR_BAD_STATUS_CODE:je("FST_ERR_BAD_STATUS_CODE","Called reply with an invalid status code: %s"),FST_ERR_BAD_TRAILER_NAME:je("FST_ERR_BAD_TRAILER_NAME","Called reply.trailer with an invalid header name: %s"),FST_ERR_BAD_TRAILER_VALUE:je("FST_ERR_BAD_TRAILER_VALUE","Called reply.trailer('%s', fn) with an invalid type: %s. Expected a function."),FST_ERR_FAILED_ERROR_SERIALIZATION:je("FST_ERR_FAILED_ERROR_SERIALIZATION","Failed to serialize an error. Error: %s. Original error: %s"),FST_ERR_MISSING_SERIALIZATION_FN:je("FST_ERR_MISSING_SERIALIZATION_FN",'Missing serialization function. Key "%s"'),FST_ERR_MISSING_CONTENTTYPE_SERIALIZATION_FN:je("FST_ERR_MISSING_CONTENTTYPE_SERIALIZATION_FN",'Missing serialization function. Key "%s:%s"'),FST_ERR_REQ_INVALID_VALIDATION_INVOCATION:je("FST_ERR_REQ_INVALID_VALIDATION_INVOCATION",'Invalid validation invocation. Missing validation function for HTTP part "%s" nor schema provided.'),FST_ERR_SCH_MISSING_ID:je("FST_ERR_SCH_MISSING_ID","Missing schema $id property"),FST_ERR_SCH_ALREADY_PRESENT:je("FST_ERR_SCH_ALREADY_PRESENT","Schema with id '%s' already declared!"),FST_ERR_SCH_CONTENT_MISSING_SCHEMA:je("FST_ERR_SCH_CONTENT_MISSING_SCHEMA","Schema is missing for the content type '%s'"),FST_ERR_SCH_DUPLICATE:je("FST_ERR_SCH_DUPLICATE","Schema with '%s' already present!"),FST_ERR_SCH_VALIDATION_BUILD:je("FST_ERR_SCH_VALIDATION_BUILD","Failed building the validation schema for %s: %s, due to error %s"),FST_ERR_SCH_SERIALIZATION_BUILD:je("FST_ERR_SCH_SERIALIZATION_BUILD","Failed building the serialization schema for %s: %s, due to error %s"),FST_ERR_SCH_RESPONSE_SCHEMA_NOT_NESTED_2XX:je("FST_ERR_SCH_RESPONSE_SCHEMA_NOT_NESTED_2XX",'response schemas should be nested under a valid status code, e.g { 2xx: { type: "object" } }'),FST_ERR_INIT_OPTS_INVALID:je("FST_ERR_INIT_OPTS_INVALID","Invalid initialization options: '%s'"),FST_ERR_FORCE_CLOSE_CONNECTIONS_IDLE_NOT_AVAILABLE:je("FST_ERR_FORCE_CLOSE_CONNECTIONS_IDLE_NOT_AVAILABLE","Cannot set forceCloseConnections to 'idle' as your HTTP server does not support closeIdleConnections method"),FST_ERR_DUPLICATED_ROUTE:je("FST_ERR_DUPLICATED_ROUTE","Method '%s' already declared for route '%s'"),FST_ERR_BAD_URL:je("FST_ERR_BAD_URL","'%s' is not a valid url component",400,URIError),FST_ERR_ASYNC_CONSTRAINT:je("FST_ERR_ASYNC_CONSTRAINT","Unexpected error from async constraint",500),FST_ERR_INVALID_URL:je("FST_ERR_INVALID_URL","URL must be a string. Received '%s'",400,TypeError),FST_ERR_ROUTE_OPTIONS_NOT_OBJ:je("FST_ERR_ROUTE_OPTIONS_NOT_OBJ",'Options for "%s:%s" route must be an object',500,TypeError),FST_ERR_ROUTE_DUPLICATED_HANDLER:je("FST_ERR_ROUTE_DUPLICATED_HANDLER",'Duplicate handler for "%s:%s" route is not allowed!',500),FST_ERR_ROUTE_HANDLER_NOT_FN:je("FST_ERR_ROUTE_HANDLER_NOT_FN","Error Handler for %s:%s route, if defined, must be a function",500,TypeError),FST_ERR_ROUTE_MISSING_HANDLER:je("FST_ERR_ROUTE_MISSING_HANDLER",'Missing handler function for "%s:%s" route.',500),FST_ERR_ROUTE_METHOD_INVALID:je("FST_ERR_ROUTE_METHOD_INVALID","Provided method is invalid!",500,TypeError),FST_ERR_ROUTE_METHOD_NOT_SUPPORTED:je("FST_ERR_ROUTE_METHOD_NOT_SUPPORTED","%s method is not supported.",500),FST_ERR_ROUTE_BODY_VALIDATION_SCHEMA_NOT_SUPPORTED:je("FST_ERR_ROUTE_BODY_VALIDATION_SCHEMA_NOT_SUPPORTED","Body validation schema for %s:%s route is not supported!",500),FST_ERR_ROUTE_BODY_LIMIT_OPTION_NOT_INT:je("FST_ERR_ROUTE_BODY_LIMIT_OPTION_NOT_INT","'bodyLimit' option must be an integer > 0. Got '%s'",500,TypeError),FST_ERR_HANDLER_TIMEOUT:je("FST_ERR_HANDLER_TIMEOUT","Request timed out after %s ms on route '%s'",503),FST_ERR_ROUTE_HANDLER_TIMEOUT_OPTION_NOT_INT:je("FST_ERR_ROUTE_HANDLER_TIMEOUT_OPTION_NOT_INT","'handlerTimeout' option must be an integer > 0. Got '%s'",500,TypeError),FST_ERR_ROUTE_REWRITE_NOT_STR:je("FST_ERR_ROUTE_REWRITE_NOT_STR",'Rewrite url for "%s" needs to be of type "string" but received "%s"',500,TypeError),FST_ERR_REOPENED_CLOSE_SERVER:je("FST_ERR_REOPENED_CLOSE_SERVER","Fastify has already been closed and cannot be reopened"),FST_ERR_REOPENED_SERVER:je("FST_ERR_REOPENED_SERVER","Fastify is already listening"),FST_ERR_INSTANCE_ALREADY_LISTENING:je("FST_ERR_INSTANCE_ALREADY_LISTENING","Fastify instance is already listening. %s"),FST_ERR_PLUGIN_VERSION_MISMATCH:je("FST_ERR_PLUGIN_VERSION_MISMATCH","fastify-plugin: %s - expected '%s' fastify version, '%s' is installed"),FST_ERR_PLUGIN_NOT_PRESENT_IN_INSTANCE:je("FST_ERR_PLUGIN_NOT_PRESENT_IN_INSTANCE","The decorator '%s'%s is not present in %s"),FST_ERR_PLUGIN_INVALID_ASYNC_HANDLER:je("FST_ERR_PLUGIN_INVALID_ASYNC_HANDLER","The %s plugin being registered mixes async and callback styles. Async plugin should not mix async and callback style.",500,TypeError),FST_ERR_PLUGIN_CALLBACK_NOT_FN:je("FST_ERR_PLUGIN_CALLBACK_NOT_FN","fastify-plugin: %s",500,TypeError),FST_ERR_PLUGIN_NOT_VALID:je("FST_ERR_PLUGIN_NOT_VALID","fastify-plugin: %s"),FST_ERR_ROOT_PLG_BOOTED:je("FST_ERR_ROOT_PLG_BOOTED","fastify-plugin: %s"),FST_ERR_PARENT_PLUGIN_BOOTED:je("FST_ERR_PARENT_PLUGIN_BOOTED","fastify-plugin: %s"),FST_ERR_PLUGIN_TIMEOUT:je("FST_ERR_PLUGIN_TIMEOUT","fastify-plugin: %s")};function Wbn(e,t){return t.cause=e,t}AW.exports=rT;AW.exports.appendStackTrace=Wbn;AW.exports.AVVIO_ERRORS_MAP={AVV_ERR_CALLBACK_NOT_FN:rT.FST_ERR_PLUGIN_CALLBACK_NOT_FN,AVV_ERR_PLUGIN_NOT_VALID:rT.FST_ERR_PLUGIN_NOT_VALID,AVV_ERR_ROOT_PLG_BOOTED:rT.FST_ERR_ROOT_PLG_BOOTED,AVV_ERR_PARENT_PLG_LOADED:rT.FST_ERR_PARENT_PLUGIN_BOOTED,AVV_ERR_READY_TIMEOUT:rT.FST_ERR_PLUGIN_TIMEOUT,AVV_ERR_PLUGIN_EXEC_TIMEOUT:rT.FST_ERR_PLUGIN_TIMEOUT}});var YS=w((nKr,DQe)=>{"use strict";var Kbn=["onRoute","onRegister","onReady","onListen","preClose","onClose"],OQe=["onTimeout","onRequest","preParsing","preValidation","preSerialization","preHandler","onSend","onResponse","onError","onRequestAbort"],Ybn=OQe.concat(Kbn),{FST_ERR_HOOK_INVALID_TYPE:Zbn,FST_ERR_HOOK_INVALID_HANDLER:Jbn,FST_ERR_SEND_UNDEFINED_ERR:wW,FST_ERR_HOOK_TIMEOUT:Xbn,FST_ERR_HOOK_NOT_SUPPORTED:Qbn,AVVIO_ERRORS_MAP:kQe,appendStackTrace:IQe}=Ko(),{kChildren:mM,kHooks:PQe,kRequestPayloadStream:xQe}=$s();function gM(){this.onRequest=[],this.preParsing=[],this.preValidation=[],this.preSerialization=[],this.preHandler=[],this.onResponse=[],this.onSend=[],this.onError=[],this.onRoute=[],this.onRegister=[],this.onReady=[],this.onListen=[],this.onTimeout=[],this.onRequestAbort=[],this.preClose=[]}gM.prototype=Object.create(null);gM.prototype.validate=function(e,t){if(typeof e!="string")throw new Zbn;if(Array.isArray(this[e])===!1)throw new Qbn(e);if(typeof t!="function")throw new Jbn(e,Object.prototype.toString.call(t))};gM.prototype.add=function(e,t){this.validate(e,t),this[e].push(t)};function $bn(e){let t=new gM;return t.onRequest=e.onRequest.slice(),t.preParsing=e.preParsing.slice(),t.preValidation=e.preValidation.slice(),t.preSerialization=e.preSerialization.slice(),t.preHandler=e.preHandler.slice(),t.onSend=e.onSend.slice(),t.onResponse=e.onResponse.slice(),t.onError=e.onError.slice(),t.onRoute=e.onRoute.slice(),t.onRegister=e.onRegister.slice(),t.onTimeout=e.onTimeout.slice(),t.onRequestAbort=e.onRequestAbort.slice(),t.onReady=[],t.onListen=[],t.preClose=[],t}function NQe(e,t,n,r){let i=n[PQe][e],s=0,o=0;c();function a(l){let d=i[s-1]?.name,f=d?` "${d}"`:"";if(l){l.code==="AVV_ERR_READY_TIMEOUT"?l=IQe(l,new Xbn(e,f)):l=kQe[l.code]!=null?IQe(l,new kQe[l.code](l.message)):l,r(l);return}r()}function c(l){if(l){a(l);return}if(s===i.length&&o===n[mM].length){s===0&&o===0?a():t(function(f,p){a(f),p(f)});return}if(s===i.length&&o<n[mM].length){let d=n[mM][o++];NQe(e,t,d,c);return}t(u(i[s++],n)),c()}function u(l,d){return function(f,p){if(f){p(f);return}if(l.length===1){try{l.call(d,p)}catch(h){p(h)}return}try{let h=l.call(d);if(h&&typeof h.then=="function"){h.then(p,p);return}}catch(h){f=h}p(f)}}}function CQe(e){let t=e[PQe].onListen,n=t.length,r=0,i=0;s();function s(a){if(a&&e.log.error(a),r===n){for(;i<e[mM].length;){let c=e[mM][i++];CQe(c)}return}o(t[r++],e,s)}async function o(a,c,u){if(a.length===1){try{a.call(c,u)}catch(l){u(l)}return}try{let l=a.call(c);if(l&&typeof l.then=="function"){l.then(u,u);return}u()}catch(l){u(l)}}}function Nk(e){return function(n,r,i,s){let o=0;function a(l){if(l||o===n.length){s(l,r,i);return}let d;try{d=e(n[o++],r,i,a)}catch(f){s(f,r,i);return}d&&typeof d.then=="function"&&d.then(c,u)}function c(){a()}function u(l){l||(l=new wW),s(l,r,i)}a()}}function eEn(e,t,n,r){return e(t,n,r)}var tEn=Nk(eEn),nEn=Nk(yM),rEn=Nk(yM),iEn=Nk(yM),sEn=Nk(yM);function MQe(e,t,n,r,i){let s=0;function o(u,l){if(u){i(u,t,n,r);return}if(l!==void 0&&(r=l),s===e.length){i(null,t,n,r);return}let d;try{d=e[s++](t,n,r,o)}catch(f){i(f,t,n);return}d&&typeof d.then=="function"&&d.then(a,c)}function a(u){o(null,u)}function c(u){u||(u=new wW),i(u,t,n,r)}o()}var oEn=MQe;function aEn(e,t,n,r){let i=0;function s(c,u){if(n.sent)return;if(u!==void 0&&(t[xQe]=u),c||i===e.length){r(c,t,n);return}let l;try{l=e[i++](t,n,t[xQe],s)}catch(d){r(d,t,n);return}l&&typeof l.then=="function"&&l.then(o,a)}function o(c){s(null,c)}function a(c){c||(c=new wW),r(c,t,n)}s()}function cEn(e,t,n){let r=0;function i(a){if(a||r===e.length){n(a,t);return}let c;try{c=e[r++](t,i)}catch(u){n(u,t);return}c&&typeof c.then=="function"&&c.then(s,o)}function s(){i()}function o(a){a||(a=new wW),n(a,t)}i()}function yM(e,t,n,r){if(n.sent!==!0)return e(t,n,r)}DQe.exports={Hooks:gM,buildHooks:$bn,hookRunnerGenerator:Nk,preParsingHookRunner:aEn,onResponseHookRunner:tEn,onSendHookRunner:MQe,preSerializationHookRunner:oEn,onRequestAbortHookRunner:cEn,hookIterator:yM,hookRunnerApplication:NQe,onListenHookRunner:CQe,preHandlerHookRunner:rEn,preValidationHookRunner:nEn,onRequestHookRunner:sEn,onTimeoutHookRunner:iEn,lifecycleHooks:OQe,supportedHooks:Ybn}});var UQe=w((rKr,LQe)=>{"use strict";LQe.exports=function(){return{[Symbol.iterator]:function*(){},add(){},delete(){},has(){return!0}}}});var cce=w((iKr,jQe)=>{"use strict";var{kTestInternals:uEn}=$s();function FQe(){let e,t;return{promise:new Promise((r,i)=>{e=r,t=i}),resolve:e,reject:t}}jQe.exports={withResolvers:typeof Promise.withResolvers=="function"?Promise.withResolvers.bind(Promise):FQe,[uEn]:{withResolvers:FQe}}});var JQe=w((sKr,ZQe)=>{"use strict";var 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e=="string"&&(e=Buffer.from(e)),t=Math.max(t-n,0),e=e.subarray(n),{writingBuf:e,len:t}}function gTn(e){e.listenerCount("drain")>0&&(e._asyncDrainScheduled=!1,e.emit("drain"))}lTn(Pf,uTn);function X$e(e,t){return e.length===0?qW:e.length===1?e[0]:Buffer.concat(e,t)}function yTn(e){if(this.destroyed)throw new Error("SonicBoom destroyed");e=""+e;let t=Buffer.byteLength(e),n=this._len+t,r=this._bufs;return this.maxLength&&n>this.maxLength?(this.emit("drop",e),this._len<this._hwm):(r.length===0||Buffer.byteLength(r[r.length-1])+t>this.maxWrite?r.push(e):r[r.length-1]+=e,this._len=n,!this._writing&&this._len>=this.minLength&&this._actualWrite(),this._len<this._hwm)}function STn(e){if(this.destroyed)throw new Error("SonicBoom destroyed");let t=this._len+e.length,n=this._bufs,r=this._lens;return this.maxLength&&t>this.maxLength?(this.emit("drop",e),this._len<this._hwm):(n.length===0||r[r.length-1]+e.length>this.maxWrite?(n.push([e]),r.push(e.length)):(n[n.length-1].push(e),r[r.length-1]+=e.length),this._len=t,!this._writing&&this._len>=this.minLength&&this._actualWrite(),this._len<this._hwm)}function Q$e(e){this._flushPending=!0;let t=()=>{if(this._fsync)this._flushPending=!1,e();else try{Si.fsync(this.fd,r=>{this._flushPending=!1,e(r)})}catch(r){e(r)}this.off("error",n)},n=r=>{this._flushPending=!1,e(r),this.off("drain",t)};this.once("drain",t),this.once("error",n)}function bTn(e){if(e!=null&&typeof e!="function")throw new Error("flush cb must be a function");if(this.destroyed){let t=new Error("SonicBoom destroyed");if(e){e(t);return}throw t}if(this.minLength<=0){e?.();return}e&&Q$e.call(this,e),!this._writing&&(this._bufs.length===0&&this._bufs.push(""),this._actualWrite())}function ETn(e){if(e!=null&&typeof e!="function")throw new Error("flush cb must be a 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_Tn(){if(this.destroyed)throw new Error("SonicBoom destroyed");if(this.fd<0)throw new Error("sonic boom is not ready yet");!this._writing&&this._writingBuf.length>0&&(this._bufs.unshift(this._writingBuf),this._writingBuf="");let e="";for(;this._bufs.length||e.length;){e.length<=0&&(e=this._bufs[0]);try{let t=Buffer.isBuffer(e)?Si.writeSync(this.fd,e):Si.writeSync(this.fd,e,"utf8"),n=Lce(e,this._len,t);e=n.writingBuf,this._len=n.len,e.length<=0&&this._bufs.shift()}catch(t){if((t.code==="EAGAIN"||t.code==="EBUSY")&&!this.retryEAGAIN(t,e.length,this._len-e.length))throw t;Uce(HW)}}try{Si.fsyncSync(this.fd)}catch{}}function TTn(){if(this.destroyed)throw new Error("SonicBoom destroyed");if(this.fd<0)throw new Error("sonic boom is not ready yet");!this._writing&&this._writingBuf.length>0&&(this._bufs.unshift([this._writingBuf]),this._writingBuf=qW);let e=qW;for(;this._bufs.length||e.length;){e.length<=0&&(e=X$e(this._bufs[0],this._lens[0]));try{let t=Si.writeSync(this.fd,e);e=e.subarray(t),this._len=Math.max(this._len-t,0),e.length<=0&&(this._bufs.shift(),this._lens.shift())}catch(t){if((t.code==="EAGAIN"||t.code==="EBUSY")&&!this.retryEAGAIN(t,e.length,this._len-e.length))throw t;Uce(HW)}}}Pf.prototype.destroy=function(){this.destroyed||BW(this)};function vTn(){let e=this.release;if(this._writing=!0,this._writingBuf=this._writingBuf.length?this._writingBuf:this._bufs.shift()||"",this.sync)try{let t=Buffer.isBuffer(this._writingBuf)?Si.writeSync(this.fd,this._writingBuf):Si.writeSync(this.fd,this._writingBuf,"utf8");e(null,t)}catch(t){e(t)}else Si.write(this.fd,this._writingBuf,e)}function RTn(){let e=this.release;if(this._writing=!0,this._writingBuf=this._writingBuf.length?this._writingBuf:X$e(this._bufs.shift(),this._lens.shift()),this.sync)try{let t=Si.writeSync(this.fd,this._writingBuf);e(null,t)}catch(t){e(t)}else mTn&&(this._writingBuf=Buffer.from(this._writingBuf)),Si.write(this.fd,this._writingBuf,e)}function BW(e){if(e.fd===-1){e.once("ready",BW.bind(null,e));return}e._periodicFlushTimer!==void 0&&clearInterval(e._periodicFlushTimer),e.destroyed=!0,e._bufs=[],e._lens=[],dTn(typeof e.fd=="number",`sonic.fd must be a number, got ${typeof e.fd}`);try{Si.fsync(e.fd,t)}catch{}function t(){e.fd!==1&&e.fd!==2?Si.close(e.fd,n):n()}function n(r){if(r){e.emit("error",r);return}e._ending&&!e._writing&&e.emit("finish"),e.emit("close")}}Pf.SonicBoom=Pf;Pf.default=Pf;$$e.exports=Pf});var Fce=w((kKr,set)=>{"use strict";var Nf={exit:[],beforeExit:[]},tet={exit:kTn,beforeExit:ITn},Lk;function ATn(){Lk===void 0&&(Lk=new FinalizationRegistry(xTn))}function wTn(e){Nf[e].length>0||process.on(e,tet[e])}function net(e){Nf[e].length>0||(process.removeListener(e,tet[e]),Nf.exit.length===0&&Nf.beforeExit.length===0&&(Lk=void 0))}function kTn(){ret("exit")}function ITn(){ret("beforeExit")}function ret(e){for(let t of Nf[e]){let n=t.deref(),r=t.fn;n!==void 0&&r(n,e)}Nf[e]=[]}function xTn(e){for(let t of["exit","beforeExit"]){let n=Nf[t].indexOf(e);Nf[t].splice(n,n+1),net(t)}}function iet(e,t,n){if(t===void 0)throw new Error("the object can't be undefined");wTn(e);let r=new WeakRef(t);r.fn=n,ATn(),Lk.register(t,r),Nf[e].push(r)}function OTn(e,t){iet("exit",e,t)}function PTn(e,t){iet("beforeExit",e,t)}function NTn(e){if(Lk!==void 0){Lk.unregister(e);for(let t of["exit","beforeExit"])Nf[t]=Nf[t].filter(n=>{let r=n.deref();return r&&r!==e}),net(t)}}set.exports={register:OTn,registerBeforeExit:PTn,unregister:NTn}});var oet=w((IKr,CTn)=>{CTn.exports={name:"thread-stream",version:"4.0.0",description:"A streaming way to send data to a Node.js Worker 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<hello@matteocollina.com>",license:"MIT",bugs:{url:"https://github.com/mcollina/thread-stream/issues"},homepage:"https://github.com/mcollina/thread-stream#readme"}});var cet=w((xKr,aet)=>{"use strict";function MTn(e,t,n,r,i){let s=r===1/0?1/0:Date.now()+r,o=()=>{let a=Atomics.load(e,t);if(a===n){i(null,"ok");return}if(s!==1/0&&Date.now()>s){i(null,"timed-out");return}let c=s===1/0?1e4:Math.min(1e4,Math.max(1,s-Date.now())),u=Atomics.waitAsync(e,t,a,c);u.async?u.value.then(o):setImmediate(o)};o()}function DTn(e,t,n,r,i){let s=r===1/0?1/0:Date.now()+r,o=()=>{if(Atomics.load(e,t)!==n){i(null,"ok");return}if(s!==1/0&&Date.now()>s){i(null,"timed-out");return}let c=s===1/0?1e4:Math.min(1e4,Math.max(1,s-Date.now())),u=Atomics.waitAsync(e,t,n,c);u.async?u.value.then(o):setImmediate(o)};o()}aet.exports={wait:MTn,waitDiff:DTn}});var det=w((OKr,uet)=>{"use strict";uet.exports={WRITE_INDEX:4,READ_INDEX:8}});var get=w((PKr,met)=>{"use 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TM(e),o.on("message",YTn),o.on("exit",het),fet.register(e,o),o}function pet(e){zTn(!e[be].sync),e[be].needDrain&&(e[be].needDrain=!1,e.emit("drain"))}function zW(e){let t=Atomics.load(e[be].state,xu),n=e[be].data.length-t;if(n>0){if(e[be].buf.length===0){e[be].flushing=!1,e[be].ending?zce(e):e[be].needDrain&&process.nextTick(pet,e);return}let r=e[be].buf.slice(0,n),i=Buffer.byteLength(r);i<=n?(e[be].buf=e[be].buf.slice(n),VW(e,r,zW.bind(null,e))):e.flush(()=>{if(!e.destroyed){for(Atomics.store(e[be].state,Iu,0),Atomics.store(e[be].state,xu,0),Atomics.notify(e[be].state,Iu);i>e[be].data.length;)n=n/2,r=e[be].buf.slice(0,n),i=Buffer.byteLength(r);e[be].buf=e[be].buf.slice(n),VW(e,r,zW.bind(null,e))}})}else if(n===0){if(t===0&&e[be].buf.length===0)return;e.flush(()=>{Atomics.store(e[be].state,Iu,0),Atomics.store(e[be].state,xu,0),Atomics.notify(e[be].state,Iu),zW(e)})}else vh(e,new Error("overwritten"))}function YTn(e){let t=this.stream.deref();if(t===void 0){this.exited=!0,this.terminate();return}switch(e.code){case"READY":this.stream=new WTn(t),t.flush(()=>{t[be].ready=!0,t.emit("ready")});break;case"ERROR":vh(t,e.err);break;case"EVENT":Array.isArray(e.args)?t.emit(e.name,...e.args):t.emit(e.name,e.args);break;case"WARNING":process.emitWarning(e.err);break;default:vh(t,new Error("this should not happen: "+e.code))}}function het(e){let t=this.stream.deref();t!==void 0&&(fet.unregister(t),t.worker.exited=!0,t.worker.off("exit",het),vh(t,e!==0?new Error("the worker thread exited"):null))}var Hce=class extends UTn{constructor(t={}){if(super(),t.bufferSize<4)throw new Error("bufferSize must at least fit a 4-byte utf-8 char");this[be]={},this[be].stateBuf=new SharedArrayBuffer(128),this[be].state=new Int32Array(this[be].stateBuf),this[be].dataBuf=new SharedArrayBuffer(t.bufferSize||4*1024*1024),this[be].data=Buffer.from(this[be].dataBuf),this[be].sync=t.sync||!1,this[be].ending=!1,this[be].ended=!1,this[be].needDrain=!1,this[be].destroyed=!1,this[be].flushing=!1,this[be].ready=!1,this[be].finished=!1,this[be].errored=null,this[be].closed=!1,this[be].buf="",this.worker=KTn(this,t),this.on("message",(n,r)=>{this.worker.postMessage(n,r)})}write(t){if(this[be].destroyed)return qce(this,new Error("the worker has exited")),!1;if(this[be].ending)return qce(this,new Error("the worker is ending")),!1;if(this[be].flushing&&this[be].buf.length+t.length>=GTn)try{jce(this),this[be].flushing=!0}catch(n){return vh(this,n),!1}if(this[be].buf+=t,this[be].sync)try{return jce(this),!0}catch(n){return vh(this,n),!1}return this[be].flushing||(this[be].flushing=!0,setImmediate(zW,this)),this[be].needDrain=this[be].data.length-this[be].buf.length-Atomics.load(this[be].state,xu)<=0,!this[be].needDrain}end(){this[be].destroyed||(this[be].ending=!0,zce(this))}flush(t){if(this[be].destroyed){typeof t=="function"&&process.nextTick(t,new Error("the worker has exited"));return}let n=Atomics.load(this[be].state,xu);qTn(this[be].state,Iu,n,1/0,(r,i)=>{if(r){vh(this,r),process.nextTick(t,r);return}if(i==="not-equal"){this.flush(t);return}process.nextTick(t)})}flushSync(){this[be].destroyed||(jce(this),Bce(this))}unref(){this.worker.unref()}ref(){this.worker.ref()}get ready(){return this[be].ready}get destroyed(){return this[be].destroyed}get closed(){return this[be].closed}get writable(){return!this[be].destroyed&&!this[be].ending}get writableEnded(){return this[be].ending}get writableFinished(){return this[be].finished}get writableNeedDrain(){return this[be].needDrain}get writableObjectMode(){return!1}get writableErrored(){return this[be].errored}};function qce(e,t){setImmediate(()=>{e.emit("error",t)})}function vh(e,t){e[be].destroyed||(e[be].destroyed=!0,t&&(e[be].errored=t,qce(e,t)),e.worker.exited?setImmediate(()=>{e[be].closed=!0,e.emit("close")}):e.worker.terminate().catch(()=>{}).then(()=>{e[be].closed=!0,e.emit("close")}))}function VW(e,t,n){let r=Atomics.load(e[be].state,xu),i=Buffer.byteLength(t);return e[be].data.write(t,r),Atomics.store(e[be].state,xu,r+i),Atomics.notify(e[be].state,xu),n(),!0}function zce(e){if(!(e[be].ended||!e[be].ending||e[be].flushing)){e[be].ended=!0;try{e.flushSync();let t=Atomics.load(e[be].state,Iu);Atomics.store(e[be].state,xu,-1),Atomics.notify(e[be].state,xu);let n=0;for(;t!==-1;){if(Atomics.wait(e[be].state,Iu,t,1e3),t=Atomics.load(e[be].state,Iu),t===-2){vh(e,new Error("end() failed"));return}if(++n===10){vh(e,new Error("end() took too long (10s)"));return}}process.nextTick(()=>{e[be].finished=!0,e.emit("finish")})}catch(t){vh(e,t)}}}function jce(e){let t=()=>{e[be].ending?zce(e):e[be].needDrain&&process.nextTick(pet,e)};for(e[be].flushing=!1;e[be].buf.length!==0;){let n=Atomics.load(e[be].state,xu),r=e[be].data.length-n;if(r===0){Bce(e),Atomics.store(e[be].state,Iu,0),Atomics.store(e[be].state,xu,0),Atomics.notify(e[be].state,Iu);continue}else if(r<0)throw new Error("overwritten");let i=e[be].buf.slice(0,r),s=Buffer.byteLength(i);if(s<=r)e[be].buf=e[be].buf.slice(r),VW(e,i,t);else{for(Bce(e),Atomics.store(e[be].state,Iu,0),Atomics.store(e[be].state,xu,0),Atomics.notify(e[be].state,Iu);s>e[be].buf.length;)r=r/2,i=e[be].buf.slice(0,r),s=Buffer.byteLength(i);e[be].buf=e[be].buf.slice(r),VW(e,i,t)}}}function Bce(e){if(e[be].flushing)throw new Error("unable to flush while flushing");let t=Atomics.load(e[be].state,xu),n=0;for(;;){let r=Atomics.load(e[be].state,Iu);if(r===-2)throw Error("_flushSync failed");if(r!==t)Atomics.wait(e[be].state,Iu,r,1e3);else break;if(++n===10)throw new Error("_flushSync took too long 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Pwn(e,t,n){n[Zo]!==null&&e.on("end",()=>AM(null,t,n))}function Fk(e,t,n){e[Mn].onError!==null&&!e[uwn]?(e[fue]=!0,Utt(e[Mn].onError,e.request,e,t,()=>xtt(e,t,n))):xtt(e,t,n)}function Cwn(e){e[RM]=cue();let t=n=>{e[lue]=cue(),e.raw.removeListener("finish",t),e.raw.removeListener("error",t);let r=e[Mn];e.request[Ltt]&&(clearTimeout(e.request[JW]),e.request[JW]=null,e.request[Uk]&&(e.request.raw.removeListener("close",e.request[Uk]),e.request[Uk]=null)),r&&r.onResponse!==null?dwn(r.onResponse,e.request,e,Ctt):Ctt(n,e.request,e)};e.raw.on("finish",t),e.raw.on("error",t)}function Ctt(e,t,n){if(n.log[Dtt])return;let r=n.elapsedTime;if(e!=null){n.log.error({res:n,err:e,responseTime:r},"request errored");return}n.log.info({res:n,responseTime:r},"request completed")}function Mwn(e){let t=e.props.slice();function n(r,i,s){this.raw=r,this[ZW]=!1,this[Mtt]=!1,this[uue]=!1,this[eg]=null,this.request=i,this[jr]={},this[Zo]=null,this[RM]=void 0,this[lue]=void 0,this.log=s;let o;for(let a=0;a<t.length;a++)o=t[a],this[o.key]=o.value}return Object.setPrototypeOf(n.prototype,e.prototype),Object.setPrototypeOf(n,e),n.parent=e,n.props=t,n}function Dwn(e){if(e[Mn][ktt]===null){e.log.warn("Trying to send a NotFound error inside a 404 handler. 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t="(0?\\d+|0x[a-f0-9]+)",n={fourOctet:new RegExp(`^${t}\\.${t}\\.${t}\\.${t}$`,"i"),threeOctet:new RegExp(`^${t}\\.${t}\\.${t}$`,"i"),twoOctet:new RegExp(`^${t}\\.${t}$`,"i"),longValue:new RegExp(`^${t}$`,"i")},r=new RegExp("^0[0-7]+$","i"),i=new RegExp("^0x[a-f0-9]+$","i"),s="%[0-9a-z]{1,}",o="(?:[0-9a-f]+::?)+",a={zoneIndex:new RegExp(s,"i"),native:new RegExp(`^(::)?(${o})?([0-9a-f]+)?(::)?(${s})?$`,"i"),deprecatedTransitional:new RegExp(`^(?:::)(${t}\\.${t}\\.${t}\\.${t}(${s})?)$`,"i"),transitional:new RegExp(`^((?:${o})|(?:::)(?:${o})?)${t}\\.${t}\\.${t}\\.${t}(${s})?$`,"i")};function c(p,h){if(p.indexOf("::")!==p.lastIndexOf("::"))return null;let m=0,y=-1,g=(p.match(a.zoneIndex)||[])[0],E,S;for(g&&(g=g.substring(1),p=p.replace(/%.+$/,""));(y=p.indexOf(":",y+1))>=0;)m++;if(p.substr(0,2)==="::"&&m--,p.substr(-2,2)==="::"&&m--,m>h)return null;for(S=h-m,E=":";S--;)E+="0:";return p=p.replace("::",E),p[0]===":"&&(p=p.slice(1)),p[p.length-1]===":"&&(p=p.slice(0,-1)),h=(function(){let b=p.split(":"),_=[];for(let T=0;T<b.length;T++)_.push(parseInt(b[T],16));return _})(),{parts:h,zoneId:g}}function u(p,h,m,y){if(p.length!==h.length)throw new Error("ipaddr: cannot match CIDR for objects with different lengths");let g=0,E;for(;y>0;){if(E=m-y,E<0&&(E=0),p[g]>>E!==h[g]>>E)return!1;y-=m,g+=1}return!0}function l(p){if(i.test(p))return parseInt(p,16);if(p[0]==="0"&&!isNaN(parseInt(p[1],10))){if(r.test(p))return parseInt(p,8);throw new Error(`ipaddr: cannot parse ${p} as octal`)}return parseInt(p,10)}function d(p,h){for(;p.length<h;)p=`0${p}`;return p}let f={};f.IPv4=(function(){function p(h){if(h.length!==4)throw new Error("ipaddr: ipv4 octet count should be 4");let m,y;for(m=0;m<h.length;m++)if(y=h[m],!(0<=y&&y<=255))throw new Error("ipaddr: ipv4 octet should fit in 8 bits");this.octets=h}return p.prototype.SpecialRanges={unspecified:[[new p([0,0,0,0]),8]],broadcast:[[new p([255,255,255,255]),32]],multicast:[[new p([224,0,0,0]),4]],linkLocal:[[new p([169,254,0,0]),16]],loopback:[[new p([127,0,0,0]),8]],carrierGradeNat:[[new p([100,64,0,0]),10]],private:[[new p([10,0,0,0]),8],[new p([172,16,0,0]),12],[new p([192,168,0,0]),16]],reserved:[[new p([192,0,0,0]),24],[new p([192,0,2,0]),24],[new p([192,88,99,0]),24],[new p([198,18,0,0]),15],[new p([198,51,100,0]),24],[new p([203,0,113,0]),24],[new p([240,0,0,0]),4]],as112:[[new p([192,175,48,0]),24],[new p([192,31,196,0]),24]],amt:[[new p([192,52,193,0]),24]]},p.prototype.kind=function(){return"ipv4"},p.prototype.match=function(h,m){let y;if(m===void 0&&(y=h,h=y[0],m=y[1]),h.kind()!=="ipv4")throw new Error("ipaddr: cannot match ipv4 address with non-ipv4 one");return u(this.octets,h.octets,8,m)},p.prototype.prefixLengthFromSubnetMask=function(){let h=0,m=!1,y={0:8,128:7,192:6,224:5,240:4,248:3,252:2,254:1,255:0},g,E,S;for(g=3;g>=0;g-=1)if(E=this.octets[g],E in y){if(S=y[E],m&&S!==0)return null;S!==8&&(m=!0),h+=S}else return null;return 32-h},p.prototype.range=function(){return f.subnetMatch(this,this.SpecialRanges)},p.prototype.toByteArray=function(){return this.octets.slice(0)},p.prototype.toIPv4MappedAddress=function(){return f.IPv6.parse(`::ffff:${this.toString()}`)},p.prototype.toNormalizedString=function(){return this.toString()},p.prototype.toString=function(){return this.octets.join(".")},p})(),f.IPv4.broadcastAddressFromCIDR=function(p){try{let h=this.parseCIDR(p),m=h[0].toByteArray(),y=this.subnetMaskFromPrefixLength(h[1]).toByteArray(),g=[],E=0;for(;E<4;)g.push(parseInt(m[E],10)|parseInt(y[E],10)^255),E++;return new this(g)}catch{throw new Error("ipaddr: the address does not have IPv4 CIDR format")}},f.IPv4.isIPv4=function(p){return this.parser(p)!==null},f.IPv4.isValid=function(p){try{return new this(this.parser(p)),!0}catch{return!1}},f.IPv4.isValidCIDR=function(p){try{return this.parseCIDR(p),!0}catch{return!1}},f.IPv4.isValidFourPartDecimal=function(p){return!!(f.IPv4.isValid(p)&&p.match(/^(0|[1-9]\d*)(\.(0|[1-9]\d*)){3}$/))},f.IPv4.isValidCIDRFourPartDecimal=function(p){let h=p.match(/^(.+)\/(\d+)$/);return!f.IPv4.isValidCIDR(p)||!h?!1:f.IPv4.isValidFourPartDecimal(h[1])},f.IPv4.networkAddressFromCIDR=function(p){let h,m,y,g,E;try{for(h=this.parseCIDR(p),y=h[0].toByteArray(),E=this.subnetMaskFromPrefixLength(h[1]).toByteArray(),g=[],m=0;m<4;)g.push(parseInt(y[m],10)&parseInt(E[m],10)),m++;return new this(g)}catch{throw new Error("ipaddr: the address does not have IPv4 CIDR format")}},f.IPv4.parse=function(p){let h=this.parser(p);if(h===null)throw new Error("ipaddr: string is not formatted like an IPv4 Address");return new this(h)},f.IPv4.parseCIDR=function(p){let h;if(h=p.match(/^(.+)\/(\d+)$/)){let m=parseInt(h[2]);if(m>=0&&m<=32){let y=[this.parse(h[1]),m];return Object.defineProperty(y,"toString",{value:function(){return this.join("/")}}),y}}throw new Error("ipaddr: string is not formatted like an IPv4 CIDR range")},f.IPv4.parser=function(p){let h,m,y;if(h=p.match(n.fourOctet))return(function(){let g=h.slice(1,6),E=[];for(let S=0;S<g.length;S++)m=g[S],E.push(l(m));return E})();if(h=p.match(n.longValue)){if(y=l(h[1]),y>4294967295||y<0)throw new Error("ipaddr: address outside defined range");return(function(){let g=[],E;for(E=0;E<=24;E+=8)g.push(y>>E&255);return g})().reverse()}else return(h=p.match(n.twoOctet))?(function(){let g=h.slice(1,4),E=[];if(y=l(g[1]),y>16777215||y<0)throw new Error("ipaddr: address outside defined range");return E.push(l(g[0])),E.push(y>>16&255),E.push(y>>8&255),E.push(y&255),E})():(h=p.match(n.threeOctet))?(function(){let g=h.slice(1,5),E=[];if(y=l(g[2]),y>65535||y<0)throw new Error("ipaddr: address outside defined range");return E.push(l(g[0])),E.push(l(g[1])),E.push(y>>8&255),E.push(y&255),E})():null},f.IPv4.subnetMaskFromPrefixLength=function(p){if(p=parseInt(p),p<0||p>32)throw new Error("ipaddr: invalid IPv4 prefix length");let h=[0,0,0,0],m=0,y=Math.floor(p/8);for(;m<y;)h[m]=255,m++;return y<4&&(h[y]=Math.pow(2,p%8)-1<<8-p%8),new this(h)},f.IPv6=(function(){function p(h,m){let y,g;if(h.length===16)for(this.parts=[],y=0;y<=14;y+=2)this.parts.push(h[y]<<8|h[y+1]);else if(h.length===8)this.parts=h;else throw new Error("ipaddr: ipv6 part count should be 8 or 16");for(y=0;y<this.parts.length;y++)if(g=this.parts[y],!(0<=g&&g<=65535))throw new Error("ipaddr: ipv6 part should fit in 16 bits");m&&(this.zoneId=m)}return p.prototype.SpecialRanges={unspecified:[new p([0,0,0,0,0,0,0,0]),128],linkLocal:[new p([65152,0,0,0,0,0,0,0]),10],multicast:[new p([65280,0,0,0,0,0,0,0]),8],loopback:[new p([0,0,0,0,0,0,0,1]),128],uniqueLocal:[new p([64512,0,0,0,0,0,0,0]),7],ipv4Mapped:[new p([0,0,0,0,0,65535,0,0]),96],discard:[new p([256,0,0,0,0,0,0,0]),64],rfc6145:[new p([0,0,0,0,65535,0,0,0]),96],rfc6052:[new p([100,65435,0,0,0,0,0,0]),96],"6to4":[new p([8194,0,0,0,0,0,0,0]),16],teredo:[new p([8193,0,0,0,0,0,0,0]),32],benchmarking:[new p([8193,2,0,0,0,0,0,0]),48],amt:[new p([8193,3,0,0,0,0,0,0]),32],as112v6:[[new p([8193,4,274,0,0,0,0,0]),48],[new p([9760,79,32768,0,0,0,0,0]),48]],deprecated:[new p([8193,16,0,0,0,0,0,0]),28],orchid2:[new p([8193,32,0,0,0,0,0,0]),28],droneRemoteIdProtocolEntityTags:[new p([8193,48,0,0,0,0,0,0]),28],reserved:[[new p([8193,0,0,0,0,0,0,0]),23],[new p([8193,3512,0,0,0,0,0,0]),32]]},p.prototype.isIPv4MappedAddress=function(){return this.range()==="ipv4Mapped"},p.prototype.kind=function(){return"ipv6"},p.prototype.match=function(h,m){let y;if(m===void 0&&(y=h,h=y[0],m=y[1]),h.kind()!=="ipv6")throw new Error("ipaddr: cannot match ipv6 address with non-ipv6 one");return u(this.parts,h.parts,16,m)},p.prototype.prefixLengthFromSubnetMask=function(){let h=0,m=!1,y={0:16,32768:15,49152:14,57344:13,61440:12,63488:11,64512:10,65024:9,65280:8,65408:7,65472:6,65504:5,65520:4,65528:3,65532:2,65534:1,65535:0},g,E;for(let S=7;S>=0;S-=1)if(g=this.parts[S],g in y){if(E=y[g],m&&E!==0)return null;E!==16&&(m=!0),h+=E}else return null;return 128-h},p.prototype.range=function(){return f.subnetMatch(this,this.SpecialRanges)},p.prototype.toByteArray=function(){let h,m=[],y=this.parts;for(let g=0;g<y.length;g++)h=y[g],m.push(h>>8),m.push(h&255);return m},p.prototype.toFixedLengthString=function(){let h=(function(){let y=[];for(let g=0;g<this.parts.length;g++)y.push(d(this.parts[g].toString(16),4));return y}).call(this).join(":"),m="";return this.zoneId&&(m=`%${this.zoneId}`),h+m},p.prototype.toIPv4Address=function(){if(!this.isIPv4MappedAddress())throw new Error("ipaddr: trying to convert a generic ipv6 address to ipv4");let h=this.parts.slice(-2),m=h[0],y=h[1];return new f.IPv4([m>>8,m&255,y>>8,y&255])},p.prototype.toNormalizedString=function(){let h=(function(){let y=[];for(let g=0;g<this.parts.length;g++)y.push(this.parts[g].toString(16));return y}).call(this).join(":"),m="";return this.zoneId&&(m=`%${this.zoneId}`),h+m},p.prototype.toRFC5952String=function(){let h=/((^|:)(0(:|$)){2,})/g,m=this.toNormalizedString(),y=0,g=-1,E;for(;E=h.exec(m);)E[0].length>g&&(y=E.index,g=E[0].length);return g<0?m:`${m.substring(0,y)}::${m.substring(y+g)}`},p.prototype.toString=function(){return this.toRFC5952String()},p})(),f.IPv6.broadcastAddressFromCIDR=function(p){try{let h=this.parseCIDR(p),m=h[0].toByteArray(),y=this.subnetMaskFromPrefixLength(h[1]).toByteArray(),g=[],E=0;for(;E<16;)g.push(parseInt(m[E],10)|parseInt(y[E],10)^255),E++;return new this(g)}catch(h){throw new Error(`ipaddr: the address does not have IPv6 CIDR format (${h})`)}},f.IPv6.isIPv6=function(p){return this.parser(p)!==null},f.IPv6.isValid=function(p){if(typeof p=="string"&&p.indexOf(":")===-1)return!1;try{let h=this.parser(p);return new this(h.parts,h.zoneId),!0}catch{return!1}},f.IPv6.isValidCIDR=function(p){if(typeof p=="string"&&p.indexOf(":")===-1)return!1;try{return this.parseCIDR(p),!0}catch{return!1}},f.IPv6.networkAddressFromCIDR=function(p){let h,m,y,g,E;try{for(h=this.parseCIDR(p),y=h[0].toByteArray(),E=this.subnetMaskFromPrefixLength(h[1]).toByteArray(),g=[],m=0;m<16;)g.push(parseInt(y[m],10)&parseInt(E[m],10)),m++;return new this(g)}catch(S){throw new Error(`ipaddr: the address does not have IPv6 CIDR format (${S})`)}},f.IPv6.parse=function(p){let h=this.parser(p);if(h.parts===null)throw new Error("ipaddr: string is not formatted like an IPv6 Address");return new this(h.parts,h.zoneId)},f.IPv6.parseCIDR=function(p){let h,m,y;if((m=p.match(/^(.+)\/(\d+)$/))&&(h=parseInt(m[2]),h>=0&&h<=128))return y=[this.parse(m[1]),h],Object.defineProperty(y,"toString",{value:function(){return this.join("/")}}),y;throw new Error("ipaddr: string is not formatted like an IPv6 CIDR range")},f.IPv6.parser=function(p){let h,m,y,g,E,S;if(y=p.match(a.deprecatedTransitional))return this.parser(`::ffff:${y[1]}`);if(a.native.test(p))return c(p,8);if((y=p.match(a.transitional))&&(S=y[6]||"",h=y[1],y[1].endsWith("::")||(h=h.slice(0,-1)),h=c(h+S,6),h.parts)){for(E=[parseInt(y[2]),parseInt(y[3]),parseInt(y[4]),parseInt(y[5])],m=0;m<E.length;m++)if(g=E[m],!(0<=g&&g<=255))return null;return h.parts.push(E[0]<<8|E[1]),h.parts.push(E[2]<<8|E[3]),{parts:h.parts,zoneId:h.zoneId}}return null},f.IPv6.subnetMaskFromPrefixLength=function(p){if(p=parseInt(p),p<0||p>128)throw new Error("ipaddr: invalid IPv6 prefix length");let h=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],m=0,y=Math.floor(p/8);for(;m<y;)h[m]=255,m++;return y<16&&(h[y]=Math.pow(2,p%8)-1<<8-p%8),new this(h)},f.fromByteArray=function(p){let h=p.length;if(h===4)return new f.IPv4(p);if(h===16)return new f.IPv6(p);throw new Error("ipaddr: the binary input is neither an IPv6 nor IPv4 address")},f.isValid=function(p){return f.IPv6.isValid(p)||f.IPv4.isValid(p)},f.isValidCIDR=function(p){return f.IPv6.isValidCIDR(p)||f.IPv4.isValidCIDR(p)},f.parse=function(p){if(f.IPv6.isValid(p))return f.IPv6.parse(p);if(f.IPv4.isValid(p))return f.IPv4.parse(p);throw new Error("ipaddr: the address has neither IPv6 nor IPv4 format")},f.parseCIDR=function(p){try{return f.IPv6.parseCIDR(p)}catch{try{return f.IPv4.parseCIDR(p)}catch{throw new Error("ipaddr: the address has neither IPv6 nor IPv4 CIDR format")}}},f.process=function(p){let h=this.parse(p);return h.kind()==="ipv6"&&h.isIPv4MappedAddress()?h.toIPv4Address():h},f.subnetMatch=function(p,h,m){let y,g,E,S;m==null&&(m="unicast");for(g in h)if(Object.prototype.hasOwnProperty.call(h,g)){for(E=h[g],E[0]&&!(E[0]instanceof Array)&&(E=[E]),y=0;y<E.length;y++)if(S=E[y],p.kind()===S[0].kind()&&p.match.apply(p,S))return g}return m},typeof nK<"u"&&nK.exports?nK.exports=f:e.ipaddr=f})(Btt)});var Ztt=w((g3r,jk)=>{"use strict";jk.exports=hue;jk.exports.default=hue;jk.exports.proxyaddr=hue;jk.exports.all=Wtt;jk.exports.compile=Ktt;var Uwn=qtt(),Vtt=Gtt(),Fwn=/^\d+$/u,rK=Vtt.isValid,iK=Vtt.parse,ztt={linklocal:["169.254.0.0/16","fe80::/10"],loopback:["127.0.0.1/8","::1/128"],uniquelocal:["10.0.0.0/8","172.16.0.0/12","192.168.0.0/16","fc00::/7"]};function Wtt(e,t){let n=Uwn(e);if(!t)return n;typeof t!="function"&&(t=Ktt(t));for(let r=0;r<n.length-1;r++)t(n[r],r)||(n.length=r+1);return n}function Ktt(e){if(!e)throw new TypeError("argument is required");let t;if(typeof e=="string")t=[e];else if(Array.isArray(e))t=e.slice();else throw new TypeError("unsupported trust argument");for(let n=0;n<t.length;n++)e=t[n],Object.hasOwn(ztt,e)&&(e=ztt[e],t.splice.apply(t,[n,1].concat(e)),n+=e.length-1);return Hwn(jwn(t))}function jwn(e){let t=new Array(e.length);for(let n=0;n<e.length;n++)t[n]=qwn(e[n]);return t}function Hwn(e){let t=e.length;return t===0?Gwn:t===1?Vwn(e[0]):zwn(e)}function qwn(e){let t=e.lastIndexOf("/"),n=t!==-1?e.substring(0,t):e;if(!rK(n))throw new TypeError("invalid IP address: "+n);let r=iK(n);t===-1&&r.kind()==="ipv6"&&r.isIPv4MappedAddress()&&(r=r.toIPv4Address());let i=r.kind()==="ipv6"?128:32,s=t!==-1?e.substring(t+1,e.length):null;if(s===null?s=i:Fwn.test(s)?s=parseInt(s,10):r.kind()==="ipv4"&&rK(s)?s=Bwn(s):s=null,s<=0||s>i)throw new TypeError("invalid range on address: "+e);return[r,s]}function Bwn(e){let t=iK(e);return t.kind()==="ipv4"?t.prefixLengthFromSubnetMask():null}function hue(e,t){if(!e)throw new TypeError("req argument is required");if(!t)throw new TypeError("trust argument is required");let n=Wtt(e,t);return n[n.length-1]}function Gwn(){return!1}function zwn(e){return function(n){if(!rK(n))return!1;let r=iK(n),i,s=r.kind();for(let o=0;o<e.length;o++){let a=e[o],c=a[0],u=c.kind(),l=a[1],d=r;if(s!==u){let f=u==="ipv4";if(f&&!r.isIPv4MappedAddress())continue;i||(i=f?r.toIPv4Address():r.toIPv4MappedAddress()),d=i}if(d.match(c,l))return!0}return!1}}function Vwn(e){let t=e[0],n=t.kind(),r=n==="ipv4",i=e[1];return function(o){if(!rK(o))return!1;let a=iK(o);if(a.kind()!==n){if(r&&!a.isIPv4MappedAddress())return!1;a=r?a.toIPv4Address():a.toIPv4MappedAddress()}return a.match(t,i)}}});var oK=w((y3r,Sue)=>{"use strict";var sK=Ztt(),{kHasBeenDecorated:Wwn,kSchemaBody:Kwn,kSchemaHeaders:Zwn,kSchemaParams:Ywn,kSchemaQuerystring:Ytt,kSchemaController:mue,kOptions:Jwn,kRequestCacheValidateFns:JS,kRouteContext:sc,kRequestOriginalUrl:gue,kRequestSignal:Jtt,kOnAbort:Xwn}=$s(),{FST_ERR_REQ_INVALID_VALIDATION_INVOCATION:Qwn,FST_ERR_DEC_UNDECLARED:$wn}=Ko(),Xtt=vM(),Qtt={body:Kwn,headers:Zwn,params:Ywn,querystring:Ytt,query:Ytt};function yue(e,t,n,r,i,s){this.id=e,this[sc]=s,this.params=t,this.raw=n,this.query=r,this.log=i,this.body=void 0}yue.props=[];function ekn(e){if(typeof e=="function")return e;if(e===!0)return function(){return!0};if(typeof e=="number")return function(t,n){return n<e};if(typeof e=="string"){let t=e.split(",").map(n=>n.trim());return sK.compile(t)}return sK.compile(e)}function tkn(e,t){return t?nkn(e,t):tnt(e)}function tnt(e){let t=e.props.slice();function n(r,i,s,o,a,c){this.id=r,this[sc]=c,this.params=i,this.raw=s,this.query=o,this.log=a,this.body=void 0;let u;for(let l=0;l<t.length;l++)u=t[l],this[u.key]=u.value}return Object.setPrototypeOf(n.prototype,e.prototype),Object.setPrototypeOf(n,e),n.props=t,n.parent=e,n}function $tt(e){let t=e.lastIndexOf(",");return t===-1?e.trim():e.slice(t+1).trim()}function nkn(e,t){let n=tnt(e),r=ekn(t);return n[Wwn]=!0,Object.defineProperties(n.prototype,{ip:{get(){let i=sK.all(this.raw,r);return i[i.length-1]}},ips:{get(){return sK.all(this.raw,r)}},host:{get(){let i=this.raw.socket?.remoteAddress;return this.headers["x-forwarded-host"]&&i!==null&&r(i,0)?$tt(this.headers["x-forwarded-host"]):this.headers.host??this.headers[":authority"]??""}},protocol:{get(){let i=this.raw.socket?.remoteAddress;if(this.headers["x-forwarded-proto"]&&i!==null&&r(i,0))return $tt(this.headers["x-forwarded-proto"]);if(this.socket)return this.socket.encrypted?"https":"http"}}}),n}function ent(e,t){if(!Xtt.hasKey(e,t)&&!Xtt.exist(e,t))throw new $wn(t,"request")}Object.defineProperties(yue.prototype,{server:{get(){return this[sc].server}},url:{get(){return this.raw.url}},originalUrl:{get(){return this[gue]||(this[gue]=this.raw.originalUrl||this.raw.url),this[gue]}},method:{get(){return this.raw.method}},routeOptions:{get(){let e=this[sc],t=e._parserOptions.limit,n=e.server.initialConfig.bodyLimit,r=e.server.hasConstraintStrategy("version")?this.raw.headers["accept-version"]:void 0;return{method:e.config?.method,url:e.config?.url,bodyLimit:t||n,handlerTimeout:e.handlerTimeout,attachValidation:e.attachValidation,logLevel:e.logLevel,exposeHeadRoute:e.exposeHeadRoute,prefixTrailingSlash:e.prefixTrailingSlash,handler:e.handler,config:e.config,schema:e.schema,version:r}}},is404:{get(){return this[sc].config?.url===void 0}},socket:{get(){return this.raw.socket}},signal:{get(){let e=this[Jtt];if(e)return e.signal;e=new AbortController,this[Jtt]=e;let t=()=>{e.signal.aborted||e.abort()};return this.raw.on("close",t),this[Xwn]=t,e.signal}},ip:{get(){if(this.socket)return this.socket.remoteAddress}},host:{get(){return this.raw.headers.host??this.raw.headers[":authority"]??""}},hostname:{get(){return this.host[0]==="["?this.host.slice(0,this.host.indexOf("]")+1):this.host.split(":",1)[0]}},port:{get(){let e=/(?<port>:\d+)$/,t=this.headers.host??this.headers[":authority"]??"",n=e.exec(t);return n===null||n[1]===void 0?null:parseInt(n.groups.port.slice(1),10)}},protocol:{get(){if(this.socket)return this.socket.encrypted?"https":"http"}},headers:{get(){return this.additionalHeaders?Object.assign({},this.raw.headers,this.additionalHeaders):this.raw.headers},set(e){this.additionalHeaders=e}},getValidationFunction:{value:function(e){if(typeof e=="string"){let t=Qtt[e];return this[sc][t]}else if(typeof e=="object")return this[sc][JS]?.get(e)}},compileValidationSchema:{value:function(e,t=null){let{method:n,url:r}=this;if(this[sc][JS]?.has(e))return this[sc][JS].get(e);let s=(this[sc].validatorCompiler||this.server[mue].validatorCompiler||this.server[mue].setupValidator(this.server[Jwn])||this.server[mue].validatorCompiler)({schema:e,method:n,url:r,httpPart:t});return this[sc][JS]==null&&(this[sc][JS]=new WeakMap),this[sc][JS].set(e,s),s}},validateInput:{value:function(e,t,n){n=typeof t=="string"?t:n;let r=n!=null&&typeof n=="string"&&Qtt[n],i;if(r&&(i=this[sc][r]),i==null&&(t==null||typeof t!="object"||Array.isArray(t)))throw new Qwn(n);return i==null&&(this[sc][JS]?.has(t)?i=this[sc][JS].get(t):i=this.compileValidationSchema(t,n)),i(e)}},getDecorator:{value:function(e){ent(this,e);let t=this[e];return typeof t=="function"?t.bind(this):t}},setDecorator:{value:function(e,t){ent(this,e),this[e]=t}}});Sue.exports=yue;Sue.exports.buildRequest=tkn});var aK=w((S3r,nnt)=>{"use 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Skn({schema:e,handler:t,config:n,requestIdLogLabel:r,childLoggerFactory:i,errorHandler:s,bodyLimit:o,logLevel:a,logSerializers:c,attachValidation:u,validatorCompiler:l,serializerCompiler:d,replySerializer:f,schemaErrorFormatter:p,exposeHeadRoute:h,prefixTrailingSlash:m,server:y,isFastify:g,handlerTimeout:E}){this.schema=e,this.handler=t,this.Reply=y[ukn],this.Request=y[lkn],this.contentTypeParser=y[pkn],this.onRequest=null,this.onSend=null,this.onError=null,this.onTimeout=null,this.preHandler=null,this.onResponse=null,this.preSerialization=null,this.onRequestAbort=null,this.config=n,this.errorHandler=s||y[okn],this.requestIdLogLabel=r||y[ckn].requestIdLogLabel,this.childLoggerFactory=i||y[akn],this._middie=null,this._parserOptions={limit:o||y[dkn]},this.exposeHeadRoute=h,this.prefixTrailingSlash=m,this.logLevel=a||y[fkn],this.logSerializers=c,this[rkn]=null,this.attachValidation=u,this[ikn]=f,this.schemaErrorFormatter=p||y[skn]||Ekn,this[hkn]=g,this[mkn]=null,this[gkn]=null,this.validatorCompiler=l||null,this.serializerCompiler=d||null,this.handlerTimeout=E||y[ykn]||0,this.server=y}function Ekn(e,t){let n="";for(let i=0;i!==e.length;++i){let s=e[i];n+=t+(s.instancePath||"")+" "+s.message+", "}return new Error(n.slice(0,-2))}nnt.exports=Skn});var bue=w((E3r,Hk)=>{"use strict";var bkn=typeof Buffer<"u",rnt=/"(?:_|\\u005[Ff])(?:_|\\u005[Ff])(?:p|\\u0070)(?:r|\\u0072)(?:o|\\u006[Ff])(?:t|\\u0074)(?:o|\\u006[Ff])(?:_|\\u005[Ff])(?:_|\\u005[Ff])"\s*:/,int=/"(?:c|\\u0063)(?:o|\\u006[Ff])(?:n|\\u006[Ee])(?:s|\\u0073)(?:t|\\u0074)(?:r|\\u0072)(?:u|\\u0075)(?:c|\\u0063)(?:t|\\u0074)(?:o|\\u006[Ff])(?:r|\\u0072)"\s*:/;function snt(e,t,n){n==null&&t!==null&&typeof t=="object"&&(n=t,t=void 0),bkn&&Buffer.isBuffer(e)&&(e=e.toString()),e&&e.charCodeAt(0)===65279&&(e=e.slice(1));let r=JSON.parse(e,t);if(r===null||typeof r!="object")return r;let i=n&&n.protoAction||"error",s=n&&n.constructorAction||"error";if(i==="ignore"&&s==="ignore")return r;if(i!=="ignore"&&s!=="ignore"){if(rnt.test(e)===!1&&int.test(e)===!1)return r}else if(i!=="ignore"&&s==="ignore"){if(rnt.test(e)===!1)return r}else if(int.test(e)===!1)return r;return ont(r,{protoAction:i,constructorAction:s,safe:n&&n.safe})}function ont(e,{protoAction:t="error",constructorAction:n="error",safe:r}={}){let i=[e];for(;i.length;){let s=i;i=[];for(let o of s){if(t!=="ignore"&&Object.prototype.hasOwnProperty.call(o,"__proto__")){if(r===!0)return null;if(t==="error")throw new SyntaxError("Object contains forbidden prototype property");delete o.__proto__}if(n!=="ignore"&&Object.prototype.hasOwnProperty.call(o,"constructor")&&o.constructor!==null&&typeof o.constructor=="object"&&Object.prototype.hasOwnProperty.call(o.constructor,"prototype")){if(r===!0)return null;if(n==="error")throw new SyntaxError("Object contains forbidden prototype property");delete o.constructor}for(let a in o){let c=o[a];c&&typeof c=="object"&&i.push(c)}}}return e}function Eue(e,t,n){let{stackTraceLimit:r}=Error;Error.stackTraceLimit=0;try{return snt(e,t,n)}finally{Error.stackTraceLimit=r}}function _kn(e,t){let{stackTraceLimit:n}=Error;Error.stackTraceLimit=0;try{return snt(e,t,{safe:!0})}catch{return}finally{Error.stackTraceLimit=n}}Hk.exports=Eue;Hk.exports.default=Eue;Hk.exports.parse=Eue;Hk.exports.safeParse=_kn;Hk.exports.scan=ont});var Rue=w((b3r,IM)=>{"use strict";var{AsyncResource:Tkn}=Z("node:async_hooks"),{FifoMap:unt}=y2(),{parse:vkn}=bue(),kM=Qae(),{kDefaultJsonParse:wM,kContentTypeParser:qk,kBodyLimit:Akn,kRequestPayloadStream:lnt,kState:Tue,kTestInternals:Rkn,kReplyIsError:ant,kRouteContext:wkn}=$s(),{FST_ERR_CTP_INVALID_TYPE:cK,FST_ERR_CTP_EMPTY_TYPE:kkn,FST_ERR_CTP_ALREADY_PRESENT:Ikn,FST_ERR_CTP_INVALID_HANDLER:xkn,FST_ERR_CTP_INVALID_PARSE_TYPE:Okn,FST_ERR_CTP_BODY_TOO_LARGE:cnt,FST_ERR_CTP_INVALID_MEDIA_TYPE:Nkn,FST_ERR_CTP_INVALID_CONTENT_LENGTH:Pkn,FST_ERR_CTP_EMPTY_JSON_BODY:Ckn,FST_ERR_CTP_INSTANCE_ALREADY_STARTED:vue,FST_ERR_CTP_INVALID_JSON_BODY:Mkn}=Ko(),{FSTSEC001:Dkn}=xk();function tg(e,t,n){this[wM]=fnt(t,n),this.customParsers=new Map,this.customParsers.set("application/json",new _ue(!0,!1,e,this[wM])),this.customParsers.set("text/plain",new _ue(!0,!1,e,Aue)),this.parserList=["application/json","text/plain"],this.parserRegExpList=[],this.cache=new unt(100)}tg.prototype.add=function(e,t,n){let r=typeof e=="string";if(r){if(e=e.trim().toLowerCase(),e.length===0)throw new kkn}else if(!(e instanceof RegExp))throw new cK;if(typeof n!="function")throw new xkn;if(this.existingParser(e))throw new Ikn(e);if(t.parseAs!==void 0&&t.parseAs!=="string"&&t.parseAs!=="buffer")throw new Okn(t.parseAs);let i=new _ue(t.parseAs==="string",t.parseAs==="buffer",t.bodyLimit,n);if(e==="*")this.customParsers.set("",i);else if(r){let s=new kM(e);if(s.isValid===!1)throw new cK;let o=s.toString();this.parserList.unshift(o),this.customParsers.set(o,i)}else qkn(e),this.parserRegExpList.unshift(e),this.customParsers.set(e.toString(),i)};tg.prototype.hasParser=function(e){if(typeof e=="string")e=new kM(e).toString();else{if(!(e instanceof RegExp))throw new cK;e=e.toString()}return this.customParsers.has(e)};tg.prototype.existingParser=function(e){if(typeof e=="string"){let t=new kM(e).toString();if(e==="application/json"&&this.customParsers.has(e))return this.customParsers.get(t).fn!==this[wM];if(e==="text/plain"&&this.customParsers.has(e))return this.customParsers.get(t).fn!==Aue}return this.hasParser(e)};tg.prototype.getParser=function(e){typeof e=="string"&&(e=new kM(e));let t=e.toString(),n=this.cache.get(t);if(n!==void 0)return n;if(n=this.customParsers.get(t),n!==void 0)return this.cache.set(t,n),n;if(n=this.customParsers.get(e.mediaType),n!==void 0)return n;for(let r=0;r!==this.parserRegExpList.length;++r){let i=this.parserRegExpList[r];if(i.test(t))return n=this.customParsers.get(i.toString()),this.cache.set(t,n),n}return this.customParsers.get("")};tg.prototype.removeAll=function(){this.customParsers=new Map,this.parserRegExpList=[],this.parserList=[],this.cache=new unt(100)};tg.prototype.remove=function(e){let t;if(typeof e=="string")e=new kM(e).toString(),t=this.parserList;else{if(!(e instanceof RegExp))throw new cK;e=e.toString(),t=this.parserRegExpList}let n=this.customParsers.delete(e),r=t.findIndex(i=>i.toString()===e);return r>-1&&t.splice(r,1),n||r>-1};tg.prototype.run=function(e,t,n,r){let i=this.getParser(e);if(i===void 0){if(n.is404===!0){t(n,r);return}r[ant]=!0,r.send(new Nkn);return}let s=new Tkn("content-type-parser:run",n),o=s.bind(c);if(i.asString===!0||i.asBuffer===!0){dnt(n,r,r[wkn]._parserOptions,i,o);return}let a=i.fn(n,n[lnt],o);a&&typeof a.then=="function"&&a.then(u=>{o(null,u)},o);function c(u,l){if(s.emitDestroy(),u!=null){r.header("connection","close"),r[ant]=!0,r.send(u);return}n.body=l,t(n,r)}};function dnt(e,t,n,r,i){let s=r.asString===!0,o=n.limit===null?r.bodyLimit:n.limit,a=Number(e.headers["content-length"]);if(a>o){i(new cnt,void 0);return}let c=0,u=s?"":[],l=e[lnt]||e.raw;s&&l.setEncoding("utf8"),l.on("data",d),l.on("end",f),l.on("error",f),l.resume();function d(p){c+=s?Buffer.byteLength(p):p.length;let{receivedEncodedLength:h=0}=l;if(c>o||h>o){l.removeListener("data",d),l.removeListener("end",f),l.removeListener("error",f),i(new cnt,void 0);return}s?u+=p:u.push(p)}function f(p){if(l.removeListener("data",d),l.removeListener("end",f),l.removeListener("error",f),p!=null){typeof p.statusCode=="number"&&p.statusCode>=400||(p.statusCode=400),i(p,void 0);return}if(!Number.isNaN(a)&&(l.receivedEncodedLength||c)!==a){i(new Pkn,void 0);return}s||(u=Buffer.concat(u));let h=r.fn(e,u,i);h&&typeof h.then=="function"&&h.then(m=>{i(null,m)},i)}}function fnt(e,t){let n={protoAction:e,constructorAction:t};return r;function r(i,s,o){if(s.length===0){o(new Ckn,void 0);return}try{o(null,vkn(s,n))}catch{o(new Mkn,void 0)}}}function Aue(e,t,n){n(null,t)}function _ue(e,t,n,r){this.asString=e,this.asBuffer=t,this.bodyLimit=n,this.fn=r}function 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s4=K("node:stream").finished,{kFourOhFourContext:jtt,kReplyErrorHandlerCalled:Wtt,kReplyHijacked:Tue,kReplyStartTime:NM,kReplyEndTime:vue,kReplySerializer:tg,kReplySerializerDefault:o4,kReplyIsError:a4,kReplyHeaders:jr,kReplyTrailers:Yo,kReplyHasStatusCode:Rue,kReplyIsRunningOnErrorHook:Aue,kReplyNextErrorHandler:Awn,kDisableRequestLogging:Ktt,kSchemaResponse:c4,kReplyCacheSerializeFns:XS,kSchemaController:Sue,kOptions:wwn,kRouteContext:Mn,kTimeoutTimer:u4,kOnAbort:jk,kRequestSignal:Ytt}=$s(),{onSendHookRunner:Ztt,onResponseHookRunner:kwn,preHandlerHookRunner:Iwn,preSerializationHookRunner:xwn}=YS(),Htt=bce()[Symbol.for("internals")],Own=AM(),_ue=Own.now,{handleError:qtt}=kM(),{getSchemaSerializer:Pwn}=wM(),bue={JSON:"application/json; charset=utf-8",PLAIN:"text/plain; 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r=Buffer.isBuffer(e)?e:Buffer.from(e.buffer,e.byteOffset,e.byteLength);return dT(this,r),this}if(!n&&typeof e=="string")return this[jr]["content-type"]=bue.PLAIN,dT(this,e),this}if(this[tg]!==null){if(typeof e!="string")return ztt(this,e),this;e=this[tg](e)}else if(!n||t.indexOf("json")!==-1){if(!n)this[jr]["content-type"]=bue.JSON;else if(t.indexOf("charset")===-1){let r=t.trim();r.endsWith(";")?this[jr]["content-type"]=`${r} charset=utf-8`:this[jr]["content-type"]=`${r}; charset=utf-8`}if(typeof e!="string")return ztt(this,e),this}return dT(this,e),this};Hr.prototype.getHeader=function(e){e=e.toLowerCase();let t=this[jr][e];return t!==void 0?t:this.raw.getHeader(e)};Hr.prototype.getHeaders=function(){return{...this.raw.getHeaders(),...this[jr]}};Hr.prototype.hasHeader=function(e){return e=e.toLowerCase(),this[jr][e]!==void 0||this.raw.hasHeader(e)};Hr.prototype.removeHeader=function(e){return delete this[jr][e.toLowerCase()],this};Hr.prototype.header=function(e,t=""){return 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ztt(e,t){e[Mn].preSerialization!==null?xwn(e[Mn].preSerialization,e.request,e,t,Gtt):Gtt(null,void 0,e,t)}function Gtt(e,t,n,r){if(e!=null){Hk(n,e);return}try{n[tg]!==null?r=n[tg](r):n[Mn]&&n[Mn][o4]?r=n[Mn][o4](r,n.raw.statusCode):r=Qtt(n[Mn],r,n.raw.statusCode,n[jr]["content-type"])}catch(i){Gwn(i,n),Hk(n,i);return}dT(n,r)}function Gwn(e,t){e.serialization=t[Mn].config}function dT(e,t){e[Mn].onSend!==null?Ztt(e[Mn].onSend,e.request,e,t,Vwn):Xtt(e,t)}function Vwn(e,t,n,r){e!=null?Hk(n,e):Xtt(n,r)}function Eue(e,t){let n=e.raw;try{n.writeHead(t,e[jr])}catch(r){throw r.code==="ERR_HTTP_HEADERS_SENT"&&e.log.warn(`Reply was already sent, did you forget to "return reply" in the "${e.request.raw.url}" (${e.request.raw.method}) route?`),r}}function Xtt(e,t){let n=e.raw,r=e.request;if(e[Yo]!==null){let s=Object.keys(e[Yo]),o="";for(let a of s)typeof e[Yo][a]=="function"&&(o+=" ",o+=a);e.header("Transfer-Encoding","chunked"),e.header("Trailer",o.trim())}if(Jtt.call(t)==="[object 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Ywn(e,t,n){n[Yo]!==null&&e.on("end",()=>PM(null,t,n))}function Hk(e,t,n){e[Mn].onError!==null&&!e[Awn]?(e[Aue]=!0,Ztt(e[Mn].onError,e.request,e,t,()=>qtt(e,t,n))):qtt(e,t,n)}function Zwn(e){e[NM]=_ue();let t=n=>{e[vue]=_ue(),e.raw.removeListener("finish",t),e.raw.removeListener("error",t);let r=e[Mn];e.request[Ytt]&&(clearTimeout(e.request[u4]),e.request[u4]=null,e.request[jk]&&(e.request.raw.removeListener("close",e.request[jk]),e.request[jk]=null)),r&&r.onResponse!==null?kwn(r.onResponse,e.request,e,Vtt):Vtt(n,e.request,e)};e.raw.on("finish",t),e.raw.on("error",t)}function Vtt(e,t,n){if(n.log[Ktt])return;let r=n.elapsedTime;if(e!=null){n.log.error({res:n,err:e,responseTime:r},"request errored");return}n.log.info({res:n,responseTime:r},"request completed")}function Jwn(e){let t=e.props.slice();function n(r,i,s){this.raw=r,this[a4]=!1,this[Wtt]=!1,this[Tue]=!1,this[tg]=null,this.request=i,this[jr]={},this[Yo]=null,this[NM]=void 0,this[vue]=void 0,this.log=s;let o;for(let 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t="(0?\\d+|0x[a-f0-9]+)",n={fourOctet:new RegExp(`^${t}\\.${t}\\.${t}\\.${t}$`,"i"),threeOctet:new RegExp(`^${t}\\.${t}\\.${t}$`,"i"),twoOctet:new RegExp(`^${t}\\.${t}$`,"i"),longValue:new RegExp(`^${t}$`,"i")},r=new RegExp("^0[0-7]+$","i"),i=new RegExp("^0x[a-f0-9]+$","i"),s="%[0-9a-z]{1,}",o="(?:[0-9a-f]+::?)+",a={zoneIndex:new RegExp(s,"i"),native:new RegExp(`^(::)?(${o})?([0-9a-f]+)?(::)?(${s})?$`,"i"),deprecatedTransitional:new RegExp(`^(?:::)(${t}\\.${t}\\.${t}\\.${t}(${s})?)$`,"i"),transitional:new RegExp(`^((?:${o})|(?:::)(?:${o})?)${t}\\.${t}\\.${t}\\.${t}(${s})?$`,"i")};function c(p,h){if(p.indexOf("::")!==p.lastIndexOf("::"))return null;let m=0,g=-1,y=(p.match(a.zoneIndex)||[])[0],b,S;for(y&&(y=y.substring(1),p=p.replace(/%.+$/,""));(g=p.indexOf(":",g+1))>=0;)m++;if(p.substr(0,2)==="::"&&m--,p.substr(-2,2)==="::"&&m--,m>h)return null;for(S=h-m,b=":";S--;)b+="0:";return p=p.replace("::",b),p[0]===":"&&(p=p.slice(1)),p[p.length-1]===":"&&(p=p.slice(0,-1)),h=(function(){let E=p.split(":"),_=[];for(let T=0;T<E.length;T++)_.push(parseInt(E[T],16));return _})(),{parts:h,zoneId:y}}function u(p,h,m,g){if(p.length!==h.length)throw new Error("ipaddr: cannot match CIDR for objects with different lengths");let y=0,b;for(;g>0;){if(b=m-g,b<0&&(b=0),p[y]>>b!==h[y]>>b)return!1;g-=m,y+=1}return!0}function l(p){if(i.test(p))return parseInt(p,16);if(p[0]==="0"&&!isNaN(parseInt(p[1],10))){if(r.test(p))return parseInt(p,8);throw new Error(`ipaddr: cannot parse ${p} as octal`)}return parseInt(p,10)}function d(p,h){for(;p.length<h;)p=`0${p}`;return p}let f={};f.IPv4=(function(){function p(h){if(h.length!==4)throw new Error("ipaddr: ipv4 octet count should be 4");let m,g;for(m=0;m<h.length;m++)if(g=h[m],!(0<=g&&g<=255))throw new Error("ipaddr: ipv4 octet should fit in 8 bits");this.octets=h}return p.prototype.SpecialRanges={unspecified:[[new p([0,0,0,0]),8]],broadcast:[[new p([255,255,255,255]),32]],multicast:[[new p([224,0,0,0]),4]],linkLocal:[[new p([169,254,0,0]),16]],loopback:[[new p([127,0,0,0]),8]],carrierGradeNat:[[new p([100,64,0,0]),10]],private:[[new p([10,0,0,0]),8],[new p([172,16,0,0]),12],[new p([192,168,0,0]),16]],reserved:[[new p([192,0,0,0]),24],[new p([192,0,2,0]),24],[new p([192,88,99,0]),24],[new p([198,18,0,0]),15],[new p([198,51,100,0]),24],[new p([203,0,113,0]),24],[new p([240,0,0,0]),4]],as112:[[new p([192,175,48,0]),24],[new p([192,31,196,0]),24]],amt:[[new p([192,52,193,0]),24]]},p.prototype.kind=function(){return"ipv4"},p.prototype.match=function(h,m){let g;if(m===void 0&&(g=h,h=g[0],m=g[1]),h.kind()!=="ipv4")throw new Error("ipaddr: cannot match ipv4 address with non-ipv4 one");return u(this.octets,h.octets,8,m)},p.prototype.prefixLengthFromSubnetMask=function(){let h=0,m=!1,g={0:8,128:7,192:6,224:5,240:4,248:3,252:2,254:1,255:0},y,b,S;for(y=3;y>=0;y-=1)if(b=this.octets[y],b in g){if(S=g[b],m&&S!==0)return null;S!==8&&(m=!0),h+=S}else return null;return 32-h},p.prototype.range=function(){return f.subnetMatch(this,this.SpecialRanges)},p.prototype.toByteArray=function(){return this.octets.slice(0)},p.prototype.toIPv4MappedAddress=function(){return f.IPv6.parse(`::ffff:${this.toString()}`)},p.prototype.toNormalizedString=function(){return this.toString()},p.prototype.toString=function(){return this.octets.join(".")},p})(),f.IPv4.broadcastAddressFromCIDR=function(p){try{let h=this.parseCIDR(p),m=h[0].toByteArray(),g=this.subnetMaskFromPrefixLength(h[1]).toByteArray(),y=[],b=0;for(;b<4;)y.push(parseInt(m[b],10)|parseInt(g[b],10)^255),b++;return new this(y)}catch{throw new Error("ipaddr: the address does not have IPv4 CIDR format")}},f.IPv4.isIPv4=function(p){return this.parser(p)!==null},f.IPv4.isValid=function(p){try{return new this(this.parser(p)),!0}catch{return!1}},f.IPv4.isValidCIDR=function(p){try{return this.parseCIDR(p),!0}catch{return!1}},f.IPv4.isValidFourPartDecimal=function(p){return!!(f.IPv4.isValid(p)&&p.match(/^(0|[1-9]\d*)(\.(0|[1-9]\d*)){3}$/))},f.IPv4.isValidCIDRFourPartDecimal=function(p){let h=p.match(/^(.+)\/(\d+)$/);return!f.IPv4.isValidCIDR(p)||!h?!1:f.IPv4.isValidFourPartDecimal(h[1])},f.IPv4.networkAddressFromCIDR=function(p){let h,m,g,y,b;try{for(h=this.parseCIDR(p),g=h[0].toByteArray(),b=this.subnetMaskFromPrefixLength(h[1]).toByteArray(),y=[],m=0;m<4;)y.push(parseInt(g[m],10)&parseInt(b[m],10)),m++;return new this(y)}catch{throw new Error("ipaddr: the address does not have IPv4 CIDR format")}},f.IPv4.parse=function(p){let h=this.parser(p);if(h===null)throw new Error("ipaddr: string is not formatted like an IPv4 Address");return new this(h)},f.IPv4.parseCIDR=function(p){let h;if(h=p.match(/^(.+)\/(\d+)$/)){let m=parseInt(h[2]);if(m>=0&&m<=32){let g=[this.parse(h[1]),m];return Object.defineProperty(g,"toString",{value:function(){return this.join("/")}}),g}}throw new Error("ipaddr: string is not formatted like an IPv4 CIDR range")},f.IPv4.parser=function(p){let h,m,g;if(h=p.match(n.fourOctet))return(function(){let y=h.slice(1,6),b=[];for(let S=0;S<y.length;S++)m=y[S],b.push(l(m));return b})();if(h=p.match(n.longValue)){if(g=l(h[1]),g>4294967295||g<0)throw new Error("ipaddr: address outside defined range");return(function(){let y=[],b;for(b=0;b<=24;b+=8)y.push(g>>b&255);return y})().reverse()}else return(h=p.match(n.twoOctet))?(function(){let y=h.slice(1,4),b=[];if(g=l(y[1]),g>16777215||g<0)throw new Error("ipaddr: address outside defined range");return b.push(l(y[0])),b.push(g>>16&255),b.push(g>>8&255),b.push(g&255),b})():(h=p.match(n.threeOctet))?(function(){let y=h.slice(1,5),b=[];if(g=l(y[2]),g>65535||g<0)throw new Error("ipaddr: address outside defined range");return b.push(l(y[0])),b.push(l(y[1])),b.push(g>>8&255),b.push(g&255),b})():null},f.IPv4.subnetMaskFromPrefixLength=function(p){if(p=parseInt(p),p<0||p>32)throw new Error("ipaddr: invalid IPv4 prefix length");let h=[0,0,0,0],m=0,g=Math.floor(p/8);for(;m<g;)h[m]=255,m++;return g<4&&(h[g]=Math.pow(2,p%8)-1<<8-p%8),new this(h)},f.IPv6=(function(){function p(h,m){let g,y;if(h.length===16)for(this.parts=[],g=0;g<=14;g+=2)this.parts.push(h[g]<<8|h[g+1]);else if(h.length===8)this.parts=h;else throw new Error("ipaddr: ipv6 part count should be 8 or 16");for(g=0;g<this.parts.length;g++)if(y=this.parts[g],!(0<=y&&y<=65535))throw new Error("ipaddr: ipv6 part should fit in 16 bits");m&&(this.zoneId=m)}return p.prototype.SpecialRanges={unspecified:[new p([0,0,0,0,0,0,0,0]),128],linkLocal:[new p([65152,0,0,0,0,0,0,0]),10],multicast:[new p([65280,0,0,0,0,0,0,0]),8],loopback:[new p([0,0,0,0,0,0,0,1]),128],uniqueLocal:[new p([64512,0,0,0,0,0,0,0]),7],ipv4Mapped:[new p([0,0,0,0,0,65535,0,0]),96],discard:[new p([256,0,0,0,0,0,0,0]),64],rfc6145:[new p([0,0,0,0,65535,0,0,0]),96],rfc6052:[new p([100,65435,0,0,0,0,0,0]),96],"6to4":[new p([8194,0,0,0,0,0,0,0]),16],teredo:[new p([8193,0,0,0,0,0,0,0]),32],benchmarking:[new p([8193,2,0,0,0,0,0,0]),48],amt:[new p([8193,3,0,0,0,0,0,0]),32],as112v6:[[new p([8193,4,274,0,0,0,0,0]),48],[new p([9760,79,32768,0,0,0,0,0]),48]],deprecated:[new p([8193,16,0,0,0,0,0,0]),28],orchid2:[new p([8193,32,0,0,0,0,0,0]),28],droneRemoteIdProtocolEntityTags:[new p([8193,48,0,0,0,0,0,0]),28],reserved:[[new p([8193,0,0,0,0,0,0,0]),23],[new p([8193,3512,0,0,0,0,0,0]),32]]},p.prototype.isIPv4MappedAddress=function(){return this.range()==="ipv4Mapped"},p.prototype.kind=function(){return"ipv6"},p.prototype.match=function(h,m){let g;if(m===void 0&&(g=h,h=g[0],m=g[1]),h.kind()!=="ipv6")throw new Error("ipaddr: cannot match ipv6 address with non-ipv6 one");return u(this.parts,h.parts,16,m)},p.prototype.prefixLengthFromSubnetMask=function(){let h=0,m=!1,g={0:16,32768:15,49152:14,57344:13,61440:12,63488:11,64512:10,65024:9,65280:8,65408:7,65472:6,65504:5,65520:4,65528:3,65532:2,65534:1,65535:0},y,b;for(let S=7;S>=0;S-=1)if(y=this.parts[S],y in g){if(b=g[y],m&&b!==0)return null;b!==16&&(m=!0),h+=b}else return null;return 128-h},p.prototype.range=function(){return f.subnetMatch(this,this.SpecialRanges)},p.prototype.toByteArray=function(){let h,m=[],g=this.parts;for(let y=0;y<g.length;y++)h=g[y],m.push(h>>8),m.push(h&255);return m},p.prototype.toFixedLengthString=function(){let h=(function(){let g=[];for(let y=0;y<this.parts.length;y++)g.push(d(this.parts[y].toString(16),4));return g}).call(this).join(":"),m="";return this.zoneId&&(m=`%${this.zoneId}`),h+m},p.prototype.toIPv4Address=function(){if(!this.isIPv4MappedAddress())throw new Error("ipaddr: trying to convert a generic ipv6 address to ipv4");let h=this.parts.slice(-2),m=h[0],g=h[1];return new f.IPv4([m>>8,m&255,g>>8,g&255])},p.prototype.toNormalizedString=function(){let h=(function(){let g=[];for(let y=0;y<this.parts.length;y++)g.push(this.parts[y].toString(16));return g}).call(this).join(":"),m="";return this.zoneId&&(m=`%${this.zoneId}`),h+m},p.prototype.toRFC5952String=function(){let h=/((^|:)(0(:|$)){2,})/g,m=this.toNormalizedString(),g=0,y=-1,b;for(;b=h.exec(m);)b[0].length>y&&(g=b.index,y=b[0].length);return y<0?m:`${m.substring(0,g)}::${m.substring(g+y)}`},p.prototype.toString=function(){return this.toRFC5952String()},p})(),f.IPv6.broadcastAddressFromCIDR=function(p){try{let h=this.parseCIDR(p),m=h[0].toByteArray(),g=this.subnetMaskFromPrefixLength(h[1]).toByteArray(),y=[],b=0;for(;b<16;)y.push(parseInt(m[b],10)|parseInt(g[b],10)^255),b++;return new this(y)}catch(h){throw new Error(`ipaddr: the address does not have IPv6 CIDR format (${h})`)}},f.IPv6.isIPv6=function(p){return this.parser(p)!==null},f.IPv6.isValid=function(p){if(typeof p=="string"&&p.indexOf(":")===-1)return!1;try{let h=this.parser(p);return new this(h.parts,h.zoneId),!0}catch{return!1}},f.IPv6.isValidCIDR=function(p){if(typeof p=="string"&&p.indexOf(":")===-1)return!1;try{return this.parseCIDR(p),!0}catch{return!1}},f.IPv6.networkAddressFromCIDR=function(p){let h,m,g,y,b;try{for(h=this.parseCIDR(p),g=h[0].toByteArray(),b=this.subnetMaskFromPrefixLength(h[1]).toByteArray(),y=[],m=0;m<16;)y.push(parseInt(g[m],10)&parseInt(b[m],10)),m++;return new this(y)}catch(S){throw new Error(`ipaddr: the address does not have IPv6 CIDR format (${S})`)}},f.IPv6.parse=function(p){let h=this.parser(p);if(h.parts===null)throw new Error("ipaddr: string is not formatted like an IPv6 Address");return new this(h.parts,h.zoneId)},f.IPv6.parseCIDR=function(p){let h,m,g;if((m=p.match(/^(.+)\/(\d+)$/))&&(h=parseInt(m[2]),h>=0&&h<=128))return g=[this.parse(m[1]),h],Object.defineProperty(g,"toString",{value:function(){return this.join("/")}}),g;throw new Error("ipaddr: string is not formatted like an IPv6 CIDR range")},f.IPv6.parser=function(p){let h,m,g,y,b,S;if(g=p.match(a.deprecatedTransitional))return this.parser(`::ffff:${g[1]}`);if(a.native.test(p))return c(p,8);if((g=p.match(a.transitional))&&(S=g[6]||"",h=g[1],g[1].endsWith("::")||(h=h.slice(0,-1)),h=c(h+S,6),h.parts)){for(b=[parseInt(g[2]),parseInt(g[3]),parseInt(g[4]),parseInt(g[5])],m=0;m<b.length;m++)if(y=b[m],!(0<=y&&y<=255))return null;return h.parts.push(b[0]<<8|b[1]),h.parts.push(b[2]<<8|b[3]),{parts:h.parts,zoneId:h.zoneId}}return null},f.IPv6.subnetMaskFromPrefixLength=function(p){if(p=parseInt(p),p<0||p>128)throw new Error("ipaddr: invalid IPv6 prefix length");let h=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],m=0,g=Math.floor(p/8);for(;m<g;)h[m]=255,m++;return g<16&&(h[g]=Math.pow(2,p%8)-1<<8-p%8),new this(h)},f.fromByteArray=function(p){let h=p.length;if(h===4)return new f.IPv4(p);if(h===16)return new f.IPv6(p);throw new Error("ipaddr: the binary input is neither an IPv6 nor IPv4 address")},f.isValid=function(p){return f.IPv6.isValid(p)||f.IPv4.isValid(p)},f.isValidCIDR=function(p){return f.IPv6.isValidCIDR(p)||f.IPv4.isValidCIDR(p)},f.parse=function(p){if(f.IPv6.isValid(p))return f.IPv6.parse(p);if(f.IPv4.isValid(p))return f.IPv4.parse(p);throw new Error("ipaddr: the address has neither IPv6 nor IPv4 format")},f.parseCIDR=function(p){try{return f.IPv6.parseCIDR(p)}catch{try{return f.IPv4.parseCIDR(p)}catch{throw new Error("ipaddr: the address has neither IPv6 nor IPv4 CIDR format")}}},f.process=function(p){let h=this.parse(p);return h.kind()==="ipv6"&&h.isIPv4MappedAddress()?h.toIPv4Address():h},f.subnetMatch=function(p,h,m){let g,y,b,S;m==null&&(m="unicast");for(y in h)if(Object.prototype.hasOwnProperty.call(h,y)){for(b=h[y],b[0]&&!(b[0]instanceof Array)&&(b=[b]),g=0;g<b.length;g++)if(S=b[g],p.kind()===S[0].kind()&&p.match.apply(p,S))return y}return m},typeof m4<"u"&&m4.exports?m4.exports=f:e.ipaddr=f})(ent)});var ont=w((QKr,qk)=>{"use strict";qk.exports=kue;qk.exports.default=kue;qk.exports.proxyaddr=kue;qk.exports.all=int;qk.exports.compile=snt;var $wn=$tt(),rnt=tnt(),ekn=/^\d+$/u,g4=rnt.isValid,y4=rnt.parse,nnt={linklocal:["169.254.0.0/16","fe80::/10"],loopback:["127.0.0.1/8","::1/128"],uniquelocal:["10.0.0.0/8","172.16.0.0/12","192.168.0.0/16","fc00::/7"]};function int(e,t){let n=$wn(e);if(!t)return n;typeof t!="function"&&(t=snt(t));for(let r=0;r<n.length-1;r++)t(n[r],r)||(n.length=r+1);return n}function snt(e){if(!e)throw new TypeError("argument is required");let t;if(typeof e=="string")t=[e];else if(Array.isArray(e))t=e.slice();else throw new TypeError("unsupported trust argument");for(let n=0;n<t.length;n++)e=t[n],Object.hasOwn(nnt,e)&&(e=nnt[e],t.splice.apply(t,[n,1].concat(e)),n+=e.length-1);return nkn(tkn(t))}function tkn(e){let t=new Array(e.length);for(let n=0;n<e.length;n++)t[n]=rkn(e[n]);return t}function nkn(e){let t=e.length;return t===0?skn:t===1?akn(e[0]):okn(e)}function rkn(e){let t=e.lastIndexOf("/"),n=t!==-1?e.substring(0,t):e;if(!g4(n))throw new TypeError("invalid IP address: "+n);let r=y4(n);t===-1&&r.kind()==="ipv6"&&r.isIPv4MappedAddress()&&(r=r.toIPv4Address());let i=r.kind()==="ipv6"?128:32,s=t!==-1?e.substring(t+1,e.length):null;if(s===null?s=i:ekn.test(s)?s=parseInt(s,10):r.kind()==="ipv4"&&g4(s)?s=ikn(s):s=null,s<=0||s>i)throw new TypeError("invalid range on address: "+e);return[r,s]}function ikn(e){let t=y4(e);return t.kind()==="ipv4"?t.prefixLengthFromSubnetMask():null}function kue(e,t){if(!e)throw new TypeError("req argument is required");if(!t)throw new TypeError("trust argument is required");let n=int(e,t);return n[n.length-1]}function skn(){return!1}function okn(e){return function(n){if(!g4(n))return!1;let r=y4(n),i,s=r.kind();for(let o=0;o<e.length;o++){let a=e[o],c=a[0],u=c.kind(),l=a[1],d=r;if(s!==u){let f=u==="ipv4";if(f&&!r.isIPv4MappedAddress())continue;i||(i=f?r.toIPv4Address():r.toIPv4MappedAddress()),d=i}if(d.match(c,l))return!0}return!1}}function akn(e){let t=e[0],n=t.kind(),r=n==="ipv4",i=e[1];return function(o){if(!g4(o))return!1;let a=y4(o);if(a.kind()!==n){if(r&&!a.isIPv4MappedAddress())return!1;a=r?a.toIPv4Address():a.toIPv4MappedAddress()}return a.match(t,i)}}});var b4=w(($Kr,Pue)=>{"use strict";var S4=ont(),{kHasBeenDecorated:ckn,kSchemaBody:ukn,kSchemaHeaders:lkn,kSchemaParams:dkn,kSchemaQuerystring:ant,kSchemaController:Iue,kOptions:fkn,kRequestCacheValidateFns:QS,kRouteContext:ac,kRequestOriginalUrl:xue,kRequestSignal:cnt,kOnAbort:pkn}=$s(),{FST_ERR_REQ_INVALID_VALIDATION_INVOCATION:hkn,FST_ERR_DEC_UNDECLARED:mkn}=Ko(),unt=OM(),lnt={body:ukn,headers:lkn,params:dkn,querystring:ant,query:ant};function Oue(e,t,n,r,i,s){this.id=e,this[ac]=s,this.params=t,this.raw=n,this.query=r,this.log=i,this.body=void 0}Oue.props=[];function gkn(e){if(typeof e=="function")return e;if(e===!0)return function(){return!0};if(typeof e=="number")return function(t,n){return n<e};if(typeof e=="string"){let t=e.split(",").map(n=>n.trim());return S4.compile(t)}return S4.compile(e)}function ykn(e,t){return t?Skn(e,t):pnt(e)}function 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Dkn(e,t){let n="";for(let i=0;i!==e.length;++i){let s=e[i];n+=t+(s.instancePath||"")+" "+s.message+", "}return new Error(n.slice(0,-2))}hnt.exports=Mkn});var Cue=w((t3r,Bk)=>{"use strict";var Lkn=typeof Buffer<"u",mnt=/"(?:_|\\u005[Ff])(?:_|\\u005[Ff])(?:p|\\u0070)(?:r|\\u0072)(?:o|\\u006[Ff])(?:t|\\u0074)(?:o|\\u006[Ff])(?:_|\\u005[Ff])(?:_|\\u005[Ff])"\s*:/,gnt=/"(?:c|\\u0063)(?:o|\\u006[Ff])(?:n|\\u006[Ee])(?:s|\\u0073)(?:t|\\u0074)(?:r|\\u0072)(?:u|\\u0075)(?:c|\\u0063)(?:t|\\u0074)(?:o|\\u006[Ff])(?:r|\\u0072)"\s*:/;function ynt(e,t,n){n==null&&t!==null&&typeof t=="object"&&(n=t,t=void 0),Lkn&&Buffer.isBuffer(e)&&(e=e.toString()),e&&e.charCodeAt(0)===65279&&(e=e.slice(1));let r=JSON.parse(e,t);if(r===null||typeof r!="object")return r;let i=n&&n.protoAction||"error",s=n&&n.constructorAction||"error";if(i==="ignore"&&s==="ignore")return r;if(i!=="ignore"&&s!=="ignore"){if(mnt.test(e)===!1&&gnt.test(e)===!1)return r}else if(i!=="ignore"&&s==="ignore"){if(mnt.test(e)===!1)return 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$rt(e,t,n,r,i){if(t.length===1){n[e]=t[0];return}let s=Nxn(t),o=[];for(let a of s)try{let c=Mf(a,i);c!==void 0&&o.push(c)}catch(c){if(c instanceof N4.MergeError)continue;throw c}n[e]=o}function Cxn(e,t){let{items:n,additionalItems:r}=e;return Array.isArray(n)?t<n.length?n[t]:r:n!==void 0?n:r}function Mxn(e,t,n,r,i){let s=0;for(let a of t)Array.isArray(a)&&(s=Math.max(s,a.length));if(s===0){n[e]=Mf(t,i);return}let o=[];for(let a=0;a<s;a++){let c=[];for(let u of r){let l=Cxn(u,a);l!==void 0&&c.push(l)}o[a]=Mf(c,i)}n[e]=o}function Dxn(e,t,n,r,i){let s=!1;for(let a of r)if(Array.isArray(a.items)){s=!0;break}if(!s){n[e]=Mf(t,i);return}let o=[];for(let a of r){let c=a.additionalItems;c===void 0&&!Array.isArray(a.items)&&(c=a.items),c!==void 0&&o.push(c)}n[e]=Mf(o,i)}function Lxn(e,t){let{properties:n,patternProperties:r,additionalProperties:i}=e;if(n?.[t]!==void 0)return n[t];for(let s of Object.keys(r??{}))if(new RegExp(s).test(t))return r[s];return i}function Uxn(e,t,n,r,i){let s={};for(let a of r){let c=a.properties??{};for(let u of Object.keys(c)){if(s[u]!==void 0)continue;let l=c[u];s[u]=[l];for(let d of r){if(a===d)continue;let f=Lxn(d,u);f!==void 0&&s[u].push(f)}}}let o={};for(let a of Object.keys(s)){let c=s[a];o[a]=Mf(c,i)}n[e]=o}function P4(e,t,n,r,i){let s={};for(let a of t)for(let c of Object.keys(a))s[c]===void 0&&(s[c]=[]),s[c].push(a[c]);let o={};for(let a of Object.keys(s)){let c=s[a],u=Mf(c,i);o[a]=u}n[e]=o}function Fxn(e,t,n,r,i){for(let s=0;s<r.length;s++){let o={if:r[s].if,then:r[s].then,else:r[s].else};if(o.if!==void 0){if(n.if===void 0){n.if=o.if,o.then!==void 0&&(n.then=o.then),o.else!==void 0&&(n.else=o.else);continue}n.then!==void 0&&(n.then=Mf([n.then,o],i)),n.else!==void 0&&(n.else=Mf([n.else,o],i))}}}function eit(e,t,n){let r={};for(let i of t)for(let s of Object.keys(i)){r[s]===void 0&&(r[s]=[]);let o=r[s];for(let a of i[s])o.includes(a)||o.push(a)}n[e]=r}function Mf(e,t){if(e.length===0)return{};if(e.length===1)return e[0];let n={},r={},i=!0;for(let s of e){if(s===!1)return!1;if(s!==!0){i=!1;for(let o of Object.keys(s))r[o]===void 0&&(r[o]=[]),r[o].push(s[o])}}if(i)return!0;for(let s of Object.keys(r)){let o=r[s];(t.resolvers[s]??t.defaultResolver)(s,o,n,e,t)}return n}function nit(e,t,n,r,i){let s=i.onConflict??"throw";if(t.length===1||s==="first"){n[e]=t[0];return}let o=!0;for(let a=1;a<t.length;a++)if(!Pxn(t[a],t[0])){o=!1;break}if(o){n[e]=t[0];return}if(s==="throw")throw new N4.ResolverNotFoundError(e,t);if(s!=="skip")throw new N4.InvalidOnConflictOptionError(s)}function jxn(e,t={}){return t.defaultResolver===void 0&&(t.defaultResolver=nit),t.resolvers={...tit,...t.resolvers},Mf(e,t)}rit.exports={mergeSchemas:jxn,keywordsResolvers:tit,defaultResolver:nit,...N4}});var oit=w((L3r,sit)=>{"use strict";var{mergeSchemas:Hxn}=iit();function qxn(e){return Hxn(e,{onConflict:"skip"})}sit.exports=qxn});var ait=w((U3r,Ple)=>{"use strict";function Bxn(e,t,n,r){let i="";t.validatorSchemasIds.size>0?(i+=`const Validator = require('fast-json-stringify/lib/validator')
 `,i+=`const validatorState = ${JSON.stringify(r.getState())}
 `,i+=`const validator = Validator.restoreFromState(validatorState)
 `):i+=`const validator = null
@@ -144,7 +144,7 @@ ${E}`),m.pop(),`{${T}}`}case"number":return isFinite(h)?String(h):t?t(h):"null";
 
   ${i}
 
-  module.exports = ${e.toString()}(validator, serializer)`}Sle.exports=wxn;Sle.exports.dependencies={Serializer:GW(),Validator:ule()}});var iit=w((n4r,Xk)=>{"use strict";var{RefResolver:kxn}=Irt(),Ixn=GW(),xxn=ule(),fT=Nrt(),Jrt=Lrt(),Oxn=Zrt(),Nxn=/'/g,FM=2e4,bK="default",Pxn=`
+  module.exports = ${e.toString()}(validator, serializer)`}Ple.exports=Bxn;Ple.exports.dependencies={Serializer:n4(),Validator:Tle()}});var git=w((F3r,$k)=>{"use strict";var{RefResolver:zxn}=Hrt(),Gxn=n4(),Vxn=Tle(),hT=zrt(),cit=Yrt(),Wxn=oit(),Kxn=/'/g,VM=2e4,C4="default",Yxn=`
 const {
   asString,
   asNumber,
@@ -157,8 +157,8 @@ const {
 
 const asInteger = serializer.asInteger.bind(serializer)
 
-`,Cxn=new Set(["floor","ceil","round","trunc"]),eit=new Set(["default","json-stringify"]),jM=0;function Ele(e,t){if(!Jrt(e)){t?t=`"${t}" `:t="";let n=Jrt.errors[0],r=new Error(`${t}schema is invalid: data${n.instancePath} ${n.message}`);throw r.errors=Ele.errors,r}}function cg(e,t){let n=t.schema.$ref,r=n.indexOf("#");r===-1&&(r=n.length);let i=n.slice(0,r)||t.schemaId,s=n.slice(r)||"#",o=e.refResolver.getSchema(i,s);if(o===null)throw new Error(`Cannot find reference "${n}"`);let a=new fT(o,i,s);return o.$ref!==void 0?cg(e,a):a}function _K(e,t){let n=e.refResolver.getSchema(t,"#");return new fT(n,t,"#")}function Xrt(e,t){return e.$id&&e.$id.charAt(0)!=="#"?e.$id:t}function HM(e,t){let n=t.getSchemaRef()||"";return n.startsWith(e.rootSchemaId)&&(n=n.replace(e.rootSchemaId,"")||"#"),n}function _le(e,t){Ele(e),t=t||{};let n={functions:[],functionsCounter:0,functionsNamesBySchema:new Map,options:t,refResolver:new kxn,rootSchemaId:e.$id||`__fjs_root_${jM++}`,validatorSchemasIds:new Set,mergedSchemasIds:new Map,recursiveSchemas:new Set,recursivePaths:new Set,buildingSet:new Set,uid:0},r=Xrt(e,n.rootSchemaId);if(n.refResolver.hasSchema(r)||n.refResolver.addSchema(e,n.rootSchemaId),t.schema)for(let l in t.schema){let d=t.schema[l],f=Xrt(d,l);n.refResolver.hasSchema(f)||(Ele(d,l),n.refResolver.addSchema(d,l))}if(t.rounding&&!Cxn.has(t.rounding))throw new Error(`Unsupported integer rounding method ${t.rounding}`);if(t.largeArrayMechanism)if(eit.has(t.largeArrayMechanism))bK=t.largeArrayMechanism;else throw new Error(`Unsupported large array mechanism ${t.largeArrayMechanism}`);if(t.largeArraySize){let l=typeof t.largeArraySize,d;if(l==="string"&&Number.isFinite(d=Number.parseInt(t.largeArraySize,10)))FM=d;else if(l==="number"&&Number.isInteger(t.largeArraySize))FM=t.largeArraySize;else if(l==="bigint")FM=Number(t.largeArraySize);else throw new Error(`Unsupported large array size. Expected integer-like, got ${typeof t.largeArraySize} with value ${t.largeArraySize}`)}let i=new fT(e,n.rootSchemaId);Gxn(n,i);let s=oc(n,i,"input"),o=`
-    ${Pxn}
+`,Zxn=new Set(["floor","ceil","round","trunc"]),fit=new Set(["default","json-stringify"]),WM=0;function Nle(e,t){if(!cit(e)){t?t=`"${t}" `:t="";let n=cit.errors[0],r=new Error(`${t}schema is invalid: data${n.instancePath} ${n.message}`);throw r.errors=Nle.errors,r}}function ug(e,t){let n=t.schema.$ref,r=n.indexOf("#");r===-1&&(r=n.length);let i=n.slice(0,r)||t.schemaId,s=n.slice(r)||"#",o=e.refResolver.getSchema(i,s);if(o===null)throw new Error(`Cannot find reference "${n}"`);let a=new hT(o,i,s);return o.$ref!==void 0?ug(e,a):a}function M4(e,t){let n=e.refResolver.getSchema(t,"#");return new hT(n,t,"#")}function uit(e,t){return e.$id&&e.$id.charAt(0)!=="#"?e.$id:t}function KM(e,t){let n=t.getSchemaRef()||"";return n.startsWith(e.rootSchemaId)&&(n=n.replace(e.rootSchemaId,"")||"#"),n}function Mle(e,t){Nle(e),t=t||{};let n={functions:[],functionsCounter:0,functionsNamesBySchema:new Map,options:t,refResolver:new zxn,rootSchemaId:e.$id||`__fjs_root_${WM++}`,validatorSchemasIds:new Set,mergedSchemasIds:new Map,recursiveSchemas:new Set,recursivePaths:new Set,buildingSet:new Set,uid:0},r=uit(e,n.rootSchemaId);if(n.refResolver.hasSchema(r)||n.refResolver.addSchema(e,n.rootSchemaId),t.schema)for(let l in t.schema){let d=t.schema[l],f=uit(d,l);n.refResolver.hasSchema(f)||(Nle(d,l),n.refResolver.addSchema(d,l))}if(t.rounding&&!Zxn.has(t.rounding))throw new Error(`Unsupported integer rounding method ${t.rounding}`);if(t.largeArrayMechanism)if(fit.has(t.largeArrayMechanism))C4=t.largeArrayMechanism;else throw new Error(`Unsupported large array mechanism ${t.largeArrayMechanism}`);if(t.largeArraySize){let l=typeof t.largeArraySize,d;if(l==="string"&&Number.isFinite(d=Number.parseInt(t.largeArraySize,10)))VM=d;else if(l==="number"&&Number.isInteger(t.largeArraySize))VM=t.largeArraySize;else if(l==="bigint")VM=Number(t.largeArraySize);else throw new Error(`Unsupported large array size. Expected integer-like, got ${typeof t.largeArraySize} with value ${t.largeArraySize}`)}let i=new hT(e,n.rootSchemaId);sOn(n,i);let s=cc(n,i,"input"),o=`
+    ${Yxn}
     const JSON_STR_BEGIN_OBJECT = '{'
     const JSON_STR_END_OBJECT = '}'
     const JSON_STR_BEGIN_ARRAY = '['
@@ -184,9 +184,9 @@ const asInteger = serializer.asInteger.bind(serializer)
     ${n.functions.join(`
 `)}
     return main
-    `;let a=new Ixn(t),c=new xxn(t.ajv);for(let l of n.validatorSchemasIds){let d=n.refResolver.getSchema(l);c.addSchema(d,l);let f=n.refResolver.getSchemaDependencies(l);for(let[p,h]of Object.entries(f))c.addSchema(h,p)}if(t.debugMode&&(t.mode="debug"),t.mode==="debug")return{validator:c,serializer:a,code:`validator
+    `;let a=new Gxn(t),c=new Vxn(t.ajv);for(let l of n.validatorSchemasIds){let d=n.refResolver.getSchema(l);c.addSchema(d,l);let f=n.refResolver.getSchemaDependencies(l);for(let[p,h]of Object.entries(f))c.addSchema(h,p)}if(t.debugMode&&(t.mode="debug"),t.mode==="debug")return{validator:c,serializer:a,code:`validator
 serializer
-${o}`,ajv:c.ajv};let u=new Function("validator","serializer",o);return t.mode==="standalone"?Yrt()(u,n,a,c):u(c,a)}var Mxn=["properties","required","additionalProperties","patternProperties","maxProperties","minProperties","dependencies"],Dxn=["items","additionalItems","maxItems","minItems","uniqueItems","contains"],Lxn=["maxLength","minLength","pattern"],Uxn=["multipleOf","maximum","exclusiveMaximum","minimum","exclusiveMinimum"];function Fxn(e){for(let t of Mxn)if(t in e)return"object";for(let t of Dxn)if(t in e)return"array";for(let t of Lxn)if(t in e)return"string";for(let t of Uxn)if(t in e)return"number";return e.type}function jxn(e,t,n,r){let i=t.schema,s=Object.keys(i.properties||{}),o=`
+${o}`,ajv:c.ajv};let u=new Function("validator","serializer",o);return t.mode==="standalone"?ait()(u,n,a,c):u(c,a)}var Jxn=["properties","required","additionalProperties","patternProperties","maxProperties","minProperties","dependencies"],Xxn=["items","additionalItems","maxItems","minItems","uniqueItems","contains"],Qxn=["maxLength","minLength","pattern"],$xn=["multipleOf","maximum","exclusiveMaximum","minimum","exclusiveMinimum"];function eOn(e){for(let t of Jxn)if(t in e)return"object";for(let t of Xxn)if(t in e)return"array";for(let t of Qxn)if(t in e)return"string";for(let t of $xn)if(t in e)return"number";return e.type}function tOn(e,t,n,r){let i=t.schema,s=Object.keys(i.properties||{}),o=`
     for (const key of Object.keys(${r})) {
       if (
         ${s.length>0?s.map(d=>`key === ${JSON.stringify(d)}`).join(" || ")+" ||":""}
@@ -199,7 +199,7 @@ ${o}`,ajv:c.ajv};let u=new Function("validator","serializer",o);return t.mode===
         if (/${d.replace(/\\*\//g,"\\/")}/.test(key)) {
           ${n}
           json += asString(key) + JSON_STR_COLONS
-          ${oc(e,f,"value")}
+          ${cc(e,f,"value")}
           continue
         }
       `}let l=t.getPropertyLocation("additionalProperties").schema;if(l!==void 0)if(l===!0)o+=`
@@ -208,63 +208,63 @@ ${o}`,ajv:c.ajv};let u=new Function("validator","serializer",o);return t.mode===
       `;else{let d=t.getPropertyLocation("additionalProperties");o+=`
         ${n}
         json += asString(key) + JSON_STR_COLONS
-        ${oc(e,d,"value")}
+        ${cc(e,d,"value")}
       `}return o+=`
     }
-  `,o}function Qrt(e,t,n){let r=t.schema,i=t.getPropertyLocation("properties"),s=r.required||[],o=Object.keys(r.properties||{}).sort((l,d)=>{let f=s.includes(l),p=s.includes(d);return f===p?0:f?-1:1}),a="";for(let l of s)if(!o.includes(l)){let d=JSON.stringify(l);a+=`if (${n}[${d}] === undefined) throw new Error('${d.replace(/'/g,"\\'")} is required!')
+  `,o}function lit(e,t,n){let r=t.schema,i=t.getPropertyLocation("properties"),s=r.required||[],o=Object.keys(r.properties||{}).sort((l,d)=>{let f=s.includes(l),p=s.includes(d);return f===p?0:f?-1:1}),a="";for(let l of s)if(!o.includes(l)){let d=JSON.stringify(l);a+=`if (${n}[${d}] === undefined) throw new Error('${d.replace(/'/g,"\\'")} is required!')
 `}a+=`json += JSON_STR_BEGIN_OBJECT
-`;let c=e.uid++,u="";if(s.length>0){for(let l=0;l<o.length;l++){let d=o[l],f=i.getPropertyLocation(d),p=f;f.schema.$ref&&(p=cg(e,f));let h=JSON.stringify(d),m=`value_${d.replace(/[^a-zA-Z0-9]/g,"_")}_${e.uid++}`,y=p.schema.default,g=s.includes(d),E=l===0?"":"json += JSON_STR_COMMA";a+=`
+`;let c=e.uid++,u="";if(s.length>0){for(let l=0;l<o.length;l++){let d=o[l],f=i.getPropertyLocation(d),p=f;f.schema.$ref&&(p=ug(e,f));let h=JSON.stringify(d),m=`value_${d.replace(/[^a-zA-Z0-9]/g,"_")}_${e.uid++}`,g=p.schema.default,y=s.includes(d),b=l===0?"":"json += JSON_STR_COMMA";a+=`
       const ${m} = ${n}[${h}]
       if (${m} !== undefined) {
-        ${E}
+        ${b}
         json += ${JSON.stringify(h+":")}
-        ${oc(e,p,`${m}`)}
-      }`,y!==void 0?a+=` else {
-        ${E}
-        json += ${JSON.stringify(h+":"+JSON.stringify(y))}
+        ${cc(e,p,`${m}`)}
+      }`,g!==void 0?a+=` else {
+        ${b}
+        json += ${JSON.stringify(h+":"+JSON.stringify(g))}
       }
-      `:g?a+=` else {
+      `:y?a+=` else {
         throw new Error('${h.replace(/'/g,"\\'")} is required!')
       }
       `:a+=`
 `}u="json += JSON_STR_COMMA"}else{(o.length>1||r.patternProperties||r.additionalProperties!==void 0&&r.additionalProperties!==!1)&&(a+=`let addComma_${c} = false
-`,u=`!addComma_${c} && (addComma_${c} = true) || (json += JSON_STR_COMMA)`);for(let d of o){let f=i.getPropertyLocation(d);f.schema.$ref&&(f=cg(e,f));let p=JSON.stringify(d),h=`value_${d.replace(/[^a-zA-Z0-9]/g,"_")}_${e.uid++}`,m=f.schema.default,y=s.includes(d);a+=`
+`,u=`!addComma_${c} && (addComma_${c} = true) || (json += JSON_STR_COMMA)`);for(let d of o){let f=i.getPropertyLocation(d);f.schema.$ref&&(f=ug(e,f));let p=JSON.stringify(d),h=`value_${d.replace(/[^a-zA-Z0-9]/g,"_")}_${e.uid++}`,m=f.schema.default,g=s.includes(d);a+=`
           const ${h} = ${n}[${p}]
           if (${h} !== undefined) {
             ${u}
             json += ${JSON.stringify(p+":")}
-            ${oc(e,f,`${h}`)}
+            ${cc(e,f,`${h}`)}
           }`,m!==void 0?a+=` else {
             ${u}
             json += ${JSON.stringify(p+":"+JSON.stringify(m))}
           }
-          `:y?a+=` else {
+          `:g?a+=` else {
             throw new Error('${p.replace(/'/g,"\\'")} is required!')
           }
           `:a+=`
-`}}return(r.patternProperties||r.additionalProperties)&&(a+=jxn(e,t,u,n)),a+=`
+`}}return(r.patternProperties||r.additionalProperties)&&(a+=tOn(e,t,u,n)),a+=`
     json += JSON_STR_END_OBJECT
-  `,a}function TK(e,t,n){for(let o=0,a=n.length;o<a;o++){let c=n[o];c.schema.$ref&&(n[o]=cg(e,c))}let r=[];for(let o of n){let a=tit(e,o.schema,o.schemaId);delete a.$id,r.push(a)}let i=Oxn(r),s=new fT(i,t);return e.refResolver.addSchema(i,t),s}function tit(e,t,n){let r=Array.isArray(t)?[]:{};t.$id!==void 0&&t.$id.charAt(0)!=="#"&&(n=t.$id);let i=e.mergedSchemasIds.get(t);i&&e.mergedSchemasIds.set(r,i);for(let s in t){let o=t[s];s==="$ref"&&typeof o=="string"&&o.charAt(0)==="#"&&(o=n+o),typeof o=="object"&&o!==null&&(o=tit(e,o,n)),r[s]=o}return r}function $rt(e){return`(${e} && typeof ${e}.toJSON === 'function')
+  `,a}function D4(e,t,n){for(let o=0,a=n.length;o<a;o++){let c=n[o];c.schema.$ref&&(n[o]=ug(e,c))}let r=[];for(let o of n){let a=pit(e,o.schema,o.schemaId);delete a.$id,r.push(a)}let i=Wxn(r),s=new hT(i,t);return e.refResolver.addSchema(i,t),s}function pit(e,t,n){let r=Array.isArray(t)?[]:{};t.$id!==void 0&&t.$id.charAt(0)!=="#"&&(n=t.$id);let i=e.mergedSchemasIds.get(t);i&&e.mergedSchemasIds.set(r,i);for(let s in t){let o=t[s];s==="$ref"&&typeof o=="string"&&o.charAt(0)==="#"&&(o=n+o),typeof o=="object"&&o!==null&&(o=pit(e,o,n)),r[s]=o}return r}function dit(e){return`(${e} && typeof ${e}.toJSON === 'function')
     ? ${e}.toJSON()
     : ${e}
-  `}function Hxn(e,t,n){let r=t.schema;if(e.functionsNamesBySchema.has(r))return`json += ${e.functionsNamesBySchema.get(r)}(${n})`;let i=r.nullable===!0,s=t.schemaId||"",o=t.jsonPointer||"",a=`${s}#${o}`;if(e.recursivePaths.has(a)||e.buildingSet.has(r)){let l=nit(e);e.functionsNamesBySchema.set(r,l);let f=`
-      // ${HM(e,t)}
+  `}function nOn(e,t,n){let r=t.schema;if(e.functionsNamesBySchema.has(r))return`json += ${e.functionsNamesBySchema.get(r)}(${n})`;let i=r.nullable===!0,s=t.schemaId||"",o=t.jsonPointer||"",a=`${s}#${o}`;if(e.recursivePaths.has(a)||e.buildingSet.has(r)){let l=hit(e);e.functionsNamesBySchema.set(r,l);let f=`
+      // ${KM(e,t)}
       function ${l} (input) {
-        const obj = ${$rt("input")}
+        const obj = ${dit("input")}
         if (obj === null) return ${i?"JSON_STR_NULL":"JSON_STR_EMPTY_OBJECT"}
         let json = ''
 
-        ${Qrt(e,t,"obj")}
+        ${lit(e,t,"obj")}
         return json
       }
     `;return e.functions.push(f),`json += ${l}(${n})`}e.buildingSet.add(r);let c=`obj_${e.uid++}`,u=`
-    const ${c} = ${$rt(n)}
+    const ${c} = ${dit(n)}
     if (${c} === null) {
       json += ${i?"JSON_STR_NULL":"JSON_STR_EMPTY_OBJECT"}
     } else {
-      ${Qrt(e,t,c)}
+      ${lit(e,t,c)}
     }
-  `;return e.buildingSet.delete(r),u}function qxn(e,t,n){let r=t.schema,i=t.getPropertyLocation("items");i.schema=i.schema||{},i.schema.$ref&&(i=cg(e,i));let s=i.schema;if(e.functionsNamesBySchema.has(r))return`json += ${e.functionsNamesBySchema.get(r)}(${n})`;let o=r.nullable===!0,a=t.schemaId||"",c=t.jsonPointer||"",u=`${a}#${c}`;if(e.recursivePaths.has(u)||e.buildingSet.has(r)){let p=nit(e);e.functionsNamesBySchema.set(r,p);let h=HM(e,t),m=`
+  `;return e.buildingSet.delete(r),u}function rOn(e,t,n){let r=t.schema,i=t.getPropertyLocation("items");i.schema=i.schema||{},i.schema.$ref&&(i=ug(e,i));let s=i.schema;if(e.functionsNamesBySchema.has(r))return`json += ${e.functionsNamesBySchema.get(r)}(${n})`;let o=r.nullable===!0,a=t.schemaId||"",c=t.jsonPointer||"",u=`${a}#${c}`;if(e.recursivePaths.has(u)||e.buildingSet.has(r)){let p=hit(e);e.functionsNamesBySchema.set(r,p);let h=KM(e,t),m=`
     function ${p} (obj) {
       // ${h}
       let json = ''
@@ -278,18 +278,18 @@ ${o}`,ajv:c.ajv};let u=new Function("validator","serializer",o);return t.mode===
       if (arrayLength > ${s.length}) {
         throw new Error(\`Item at ${s.length} does not match schema definition.\`)
       }
-    `),bK==="json-stringify"&&(m+=`if (arrayLength >= ${FM}) return JSON.stringify(obj)
+    `),C4==="json-stringify"&&(m+=`if (arrayLength >= ${VM}) return JSON.stringify(obj)
 `),m+=`
     json += JSON_STR_BEGIN_ARRAY
-  `,Array.isArray(s)){for(let y=0,g=s.length;y<g;y++){let E=s[y],S=i.getPropertyLocation(y);S.schema.$ref&&(S=cg(e,S),E=S.schema);let b=`value_${y}`;m+=`const ${b} = obj[${y}]`;let _=oc(e,S,b);m+=`
-        if (${y} < arrayLength) {
-          if (${ble(E.type,b)}) {
-            if (${y}) {
+  `,Array.isArray(s)){for(let g=0,y=s.length;g<y;g++){let b=s[g],S=i.getPropertyLocation(g);S.schema.$ref&&(S=ug(e,S),b=S.schema);let E=`value_${g}`;m+=`const ${E} = obj[${g}]`;let _=cc(e,S,E);m+=`
+        if (${g} < arrayLength) {
+          if (${Cle(b.type,E)}) {
+            if (${g}) {
               json += JSON_STR_COMMA
             }
             ${_}
           } else {
-            throw new Error(\`Item at ${y} does not match schema definition.\`)
+            throw new Error(\`Item at ${g} does not match schema definition.\`)
           }
         }
         `}r.additionalItems&&(m+=`
@@ -298,18 +298,18 @@ ${o}`,ajv:c.ajv};let u=new Function("validator","serializer",o);return t.mode===
             json += JSON_STR_COMMA
           }
           json += JSON.stringify(obj[i])
-        }`)}else{let y=oc(e,i,"value");m+=`
+        }`)}else{let g=cc(e,i,"value");m+=`
       if (arrayLength > 0) {
         const value = obj[0]
-        ${y}
+        ${g}
         for (let i = 1; i < arrayLength; i++) {
           json += JSON_STR_COMMA
           const value = obj[i]
-          ${y}
+          ${g}
         }
       }`}return m+=`
       return json + JSON_STR_END_ARRAY
-    }`,e.functions.push(m),`json += ${p}(${n})`}e.buildingSet.add(r);let l=HM(e,t),d=`obj_${e.uid++}`,f=`
+    }`,e.functions.push(m),`json += ${p}(${n})`}e.buildingSet.add(r);let l=KM(e,t),d=`obj_${e.uid++}`,f=`
     const ${d} = ${n}
     if (${d} === null) {
       json += ${o?"JSON_STR_NULL":"JSON_STR_EMPTY_ARRAY"}
@@ -321,13 +321,13 @@ ${o}`,ajv:c.ajv};let u=new Function("validator","serializer",o);return t.mode===
       if (arrayLength_${d} > ${s.length}) {
         throw new Error(\`Item at ${s.length} does not match schema definition.\`)
       }
-    `),bK==="json-stringify"&&(f+=`if (arrayLength_${d} >= ${FM}) json += JSON.stringify(${d})
+    `),C4==="json-stringify"&&(f+=`if (arrayLength_${d} >= ${VM}) json += JSON.stringify(${d})
  else {`),f+=`
     json += JSON_STR_BEGIN_ARRAY
   `,Array.isArray(s)){let p=e.uid++;f+=`let addComma_${p} = false
-`;for(let h=0,m=s.length;h<m;h++){let y=s[h],g=i.getPropertyLocation(h);g.schema.$ref&&(g=cg(e,g),y=g.schema);let E=`value_${h}_${e.uid++}`;f+=`const ${E} = ${d}[${h}]`;let S=oc(e,g,E);f+=`
+`;for(let h=0,m=s.length;h<m;h++){let g=s[h],y=i.getPropertyLocation(h);y.schema.$ref&&(y=ug(e,y),g=y.schema);let b=`value_${h}_${e.uid++}`;f+=`const ${b} = ${d}[${h}]`;let S=cc(e,y,b);f+=`
         if (${h} < arrayLength_${d}) {
-          if (${ble(y.type,E)}) {
+          if (${Cle(g.type,b)}) {
             !addComma_${p} && (addComma_${p} = true) || (json += JSON_STR_COMMA)
             ${S}
           } else {
@@ -338,7 +338,7 @@ ${o}`,ajv:c.ajv};let u=new Function("validator","serializer",o);return t.mode===
         for (let i = ${s.length}; i < arrayLength_${d}; i++) {
           !addComma_${p} && (addComma_${p} = true) || (json += JSON_STR_COMMA)
           json += JSON.stringify(${d}[i])
-        }`)}else{let p=oc(e,i,"value");f+=`
+        }`)}else{let p=cc(e,i,"value");f+=`
       if (arrayLength_${d} > 0) {
         const value = ${d}[0]
         ${p}
@@ -349,7 +349,7 @@ ${o}`,ajv:c.ajv};let u=new Function("validator","serializer",o);return t.mode===
         }
       }`}return f+=`
     json += JSON_STR_END_ARRAY
-  `,bK==="json-stringify"&&(f+="}"),f+="}",e.buildingSet.delete(r),f}function ble(e,t){let n;switch(e){case"null":n=`${t} === null`;break;case"string":n=`typeof ${t} === 'string' ||
+  `,C4==="json-stringify"&&(f+="}"),f+="}",e.buildingSet.delete(r),f}function Cle(e,t){let n;switch(e){case"null":n=`${t} === null`;break;case"string":n=`typeof ${t} === 'string' ||
       ${t} === null ||
       ${t} instanceof Date ||
       ${t} instanceof RegExp ||
@@ -357,7 +357,7 @@ ${o}`,ajv:c.ajv};let u=new Function("validator","serializer",o);return t.mode===
         typeof ${t} === "object" &&
         typeof ${t}.toString === "function" &&
         ${t}.toString !== Object.prototype.toString
-      )`;break;case"integer":n=`Number.isInteger(${t})`;break;case"number":n=`Number.isFinite(${t})`;break;case"boolean":n=`typeof ${t} === 'boolean'`;break;case"object":n=`${t} && typeof ${t} === 'object' && ${t}.constructor === Object`;break;case"array":n=`Array.isArray(${t})`;break;default:Array.isArray(e)&&(n=`(${e.map(i=>ble(i,t)).join(" || ")})`)}return n}function nit(e){return"anonymous"+e.functionsCounter++}function Bxn(e,t,n){let i=t.schema.type.sort(o=>o==="null"?-1:1),s="";return i.forEach((o,a)=>{t.schema={...t.schema,type:o};let c=rit(e,t,n),u=a===0?"if":"else if";switch(o){case"null":s+=`
+      )`;break;case"integer":n=`Number.isInteger(${t})`;break;case"number":n=`Number.isFinite(${t})`;break;case"boolean":n=`typeof ${t} === 'boolean'`;break;case"object":n=`${t} && typeof ${t} === 'object' && ${t}.constructor === Object`;break;case"array":n=`Array.isArray(${t})`;break;default:Array.isArray(e)&&(n=`(${e.map(i=>Cle(i,t)).join(" || ")})`)}return n}function hit(e){return"anonymous"+e.functionsCounter++}function iOn(e,t,n){let i=t.schema.type.sort(o=>o==="null"?-1:1),s="";return i.forEach((o,a)=>{t.schema={...t.schema,type:o};let c=mit(e,t,n),u=a===0?"if":"else if";switch(o){case"null":s+=`
           ${u} (${n} === null) {
             ${c}
           }
@@ -388,8 +388,8 @@ ${o}`,ajv:c.ajv};let u=new Function("validator","serializer",o);return t.mode===
             ${c}
           }
         `;break}}}),s+=`
-    else throw new TypeError(\`The value of '${HM(e,t)}' does not match schema definition.\`)
-  `,s}function rit(e,t,n){let r=t.schema;switch(r.type){case"null":return"json += JSON_STR_NULL";case"string":return r.format==="date-time"?`json += asDateTime(${n})`:r.format==="date"?`json += asDate(${n})`:r.format==="time"?`json += asTime(${n})`:r.format==="unsafe"?`json += asUnsafeString(${n})`:`
+    else throw new TypeError(\`The value of '${KM(e,t)}' does not match schema definition.\`)
+  `,s}function mit(e,t,n){let r=t.schema;switch(r.type){case"null":return"json += JSON_STR_NULL";case"string":return r.format==="date-time"?`json += asDateTime(${n})`:r.format==="date"?`json += asDate(${n})`:r.format==="time"?`json += asTime(${n})`:r.format==="unsafe"?`json += asUnsafeString(${n})`:`
         if (typeof ${n} !== 'string') {
           if (${n} === null) {
             json += JSON_STR_EMPTY_STRING
@@ -403,44 +403,44 @@ ${o}`,ajv:c.ajv};let u=new Function("validator","serializer",o);return t.mode===
         } else {
           json += asString(${n})
         }
-        `;case"integer":return`json += asInteger(${n})`;case"number":return`json += asNumber(${n})`;case"boolean":return`json += asBoolean(${n})`;case"object":return Hxn(e,t,n);case"array":return qxn(e,t,n);case void 0:return`json += JSON.stringify(${n})`;default:throw new Error(`${r.type} unsupported`)}}function Gxn(e,t){let n=new Set;function r(i){let s=i.schema;if(typeof s!="object"||s===null)return;let o=i.schemaId||"",a=i.jsonPointer||"",c=`${o}#${a}`;if(n.has(c)){let u=!1;for(let l of n)l===c&&(u=!0),u&&e.recursivePaths.add(l);e.recursivePaths.add(c);return}if(n.add(c),s.$ref)try{let u=cg(e,i);r(u)}catch{}if(s.properties){let u=i.getPropertyLocation("properties");for(let l in s.properties)r(u.getPropertyLocation(l))}if(s.additionalProperties&&typeof s.additionalProperties=="object"&&r(i.getPropertyLocation("additionalProperties")),s.patternProperties){let u=i.getPropertyLocation("patternProperties");for(let l in s.patternProperties)r(u.getPropertyLocation(l))}if(s.items){let u=i.getPropertyLocation("items");if(Array.isArray(s.items))for(let l=0;l<s.items.length;l++)r(u.getPropertyLocation(l));else r(u)}if(s.additionalItems&&typeof s.additionalItems=="object"&&r(i.getPropertyLocation("additionalItems")),s.oneOf){let u=i.getPropertyLocation("oneOf");for(let l=0;l<s.oneOf.length;l++)r(u.getPropertyLocation(l))}if(s.anyOf){let u=i.getPropertyLocation("anyOf");for(let l=0;l<s.anyOf.length;l++)r(u.getPropertyLocation(l))}if(s.allOf){let u=i.getPropertyLocation("allOf");for(let l=0;l<s.allOf.length;l++)r(u.getPropertyLocation(l))}s.then&&r(i.getPropertyLocation("then")),s.else&&r(i.getPropertyLocation("else")),n.delete(c)}r(t)}function zxn(e,t){let n=e.schema,r=n.type,i=Array.isArray(r)&&r.includes("null"),s="";return i&&(s+=`
+        `;case"integer":return`json += asInteger(${n})`;case"number":return`json += asNumber(${n})`;case"boolean":return`json += asBoolean(${n})`;case"object":return nOn(e,t,n);case"array":return rOn(e,t,n);case void 0:return`json += JSON.stringify(${n})`;default:throw new Error(`${r.type} unsupported`)}}function sOn(e,t){let n=new Set;function r(i){let s=i.schema;if(typeof s!="object"||s===null)return;let o=i.schemaId||"",a=i.jsonPointer||"",c=`${o}#${a}`;if(n.has(c)){let u=!1;for(let l of n)l===c&&(u=!0),u&&e.recursivePaths.add(l);e.recursivePaths.add(c);return}if(n.add(c),s.$ref)try{let u=ug(e,i);r(u)}catch{}if(s.properties){let u=i.getPropertyLocation("properties");for(let l in s.properties)r(u.getPropertyLocation(l))}if(s.additionalProperties&&typeof s.additionalProperties=="object"&&r(i.getPropertyLocation("additionalProperties")),s.patternProperties){let u=i.getPropertyLocation("patternProperties");for(let l in s.patternProperties)r(u.getPropertyLocation(l))}if(s.items){let u=i.getPropertyLocation("items");if(Array.isArray(s.items))for(let l=0;l<s.items.length;l++)r(u.getPropertyLocation(l));else r(u)}if(s.additionalItems&&typeof s.additionalItems=="object"&&r(i.getPropertyLocation("additionalItems")),s.oneOf){let u=i.getPropertyLocation("oneOf");for(let l=0;l<s.oneOf.length;l++)r(u.getPropertyLocation(l))}if(s.anyOf){let u=i.getPropertyLocation("anyOf");for(let l=0;l<s.anyOf.length;l++)r(u.getPropertyLocation(l))}if(s.allOf){let u=i.getPropertyLocation("allOf");for(let l=0;l<s.allOf.length;l++)r(u.getPropertyLocation(l))}s.then&&r(i.getPropertyLocation("then")),s.else&&r(i.getPropertyLocation("else")),n.delete(c)}r(t)}function oOn(e,t){let n=e.schema,r=n.type,i=Array.isArray(r)&&r.includes("null"),s="";return i&&(s+=`
       if (${t} === null) {
         json += JSON_STR_NULL
       } else {
-    `),s+=`json += '${JSON.stringify(n.const).replace(Nxn,"\\'")}'`,i&&(s+=`
+    `),s+=`json += '${JSON.stringify(n.const).replace(Kxn,"\\'")}'`,i&&(s+=`
       }
-    `),s}function Vxn(e,t,n){let r=t.schema,i=e.mergedSchemasIds.get(r);if(i){let l=_K(e,i);return oc(e,l,n)}i=`__fjs_merged_${jM++}`,e.mergedSchemasIds.set(r,i);let{allOf:s,...o}=t.schema,a=[new fT(o,t.schemaId,t.jsonPointer)],c=t.getPropertyLocation("allOf");for(let l=0,d=s.length;l<d;l++)a.push(c.getPropertyLocation(l));let u=TK(e,i,a);return oc(e,u,n)}function Wxn(e,t,n){e.validatorSchemasIds.add(t.schemaId);let i=t.schema.anyOf?"anyOf":"oneOf",{[i]:s,...o}=t.schema,a=new fT(o,t.schemaId,t.jsonPointer),c=t.getPropertyLocation(i),u="";for(let l=0,d=s.length;l<d;l++){let f=c.getPropertyLocation(l),p=f.schema,h=e.mergedSchemasIds.get(p),m=null;h?m=_K(e,h):(h=`__fjs_merged_${jM++}`,e.mergedSchemasIds.set(p,h),m=TK(e,h,[a,f]));let y=oc(e,m,n),g=f.getSchemaRef();u+=`
-      ${l===0?"if":"else if"}(validator.validate("${g}", ${n})) {
-        ${y}
+    `),s}function aOn(e,t,n){let r=t.schema,i=e.mergedSchemasIds.get(r);if(i){let l=M4(e,i);return cc(e,l,n)}i=`__fjs_merged_${WM++}`,e.mergedSchemasIds.set(r,i);let{allOf:s,...o}=t.schema,a=[new hT(o,t.schemaId,t.jsonPointer)],c=t.getPropertyLocation("allOf");for(let l=0,d=s.length;l<d;l++)a.push(c.getPropertyLocation(l));let u=D4(e,i,a);return cc(e,u,n)}function cOn(e,t,n){e.validatorSchemasIds.add(t.schemaId);let i=t.schema.anyOf?"anyOf":"oneOf",{[i]:s,...o}=t.schema,a=new hT(o,t.schemaId,t.jsonPointer),c=t.getPropertyLocation(i),u="";for(let l=0,d=s.length;l<d;l++){let f=c.getPropertyLocation(l),p=f.schema,h=e.mergedSchemasIds.get(p),m=null;h?m=M4(e,h):(h=`__fjs_merged_${WM++}`,e.mergedSchemasIds.set(p,h),m=D4(e,h,[a,f]));let g=cc(e,m,n),y=f.getSchemaRef();u+=`
+      ${l===0?"if":"else if"}(validator.validate("${y}", ${n})) {
+        ${g}
       }
     `}return u+=`
-    else throw new TypeError(\`The value of '${HM(e,t)}' does not match schema definition.\`)
-  `,u}function Kxn(e,t,n){e.validatorSchemasIds.add(t.schemaId);let{if:r,then:i,else:s,...o}=t.schema,a=new fT(o,t.schemaId,t.jsonPointer),u=t.getPropertyLocation("if").getSchemaRef(),l=t.getPropertyLocation("then"),d=e.mergedSchemasIds.get(i),f=null;if(d?f=_K(e,d):(d=`__fjs_merged_${jM++}`,e.mergedSchemasIds.set(i,d),f=TK(e,d,[a,l])),!s)return`
+    else throw new TypeError(\`The value of '${KM(e,t)}' does not match schema definition.\`)
+  `,u}function uOn(e,t,n){e.validatorSchemasIds.add(t.schemaId);let{if:r,then:i,else:s,...o}=t.schema,a=new hT(o,t.schemaId,t.jsonPointer),u=t.getPropertyLocation("if").getSchemaRef(),l=t.getPropertyLocation("then"),d=e.mergedSchemasIds.get(i),f=null;if(d?f=M4(e,d):(d=`__fjs_merged_${WM++}`,e.mergedSchemasIds.set(i,d),f=D4(e,d,[a,l])),!s)return`
       if (validator.validate("${u}", ${n})) {
-        ${oc(e,f,n)}
+        ${cc(e,f,n)}
       } else {
-        ${oc(e,a,n)}
+        ${cc(e,a,n)}
       }
-    `;let p=t.getPropertyLocation("else"),h=e.mergedSchemasIds.get(s),m=null;return h?m=_K(e,h):(h=`__fjs_merged_${jM++}`,e.mergedSchemasIds.set(s,h),m=TK(e,h,[a,p])),`
+    `;let p=t.getPropertyLocation("else"),h=e.mergedSchemasIds.get(s),m=null;return h?m=M4(e,h):(h=`__fjs_merged_${WM++}`,e.mergedSchemasIds.set(s,h),m=D4(e,h,[a,p])),`
     if (validator.validate("${u}", ${n})) {
-      ${oc(e,f,n)}
+      ${cc(e,f,n)}
     } else {
-      ${oc(e,m,n)}
+      ${cc(e,m,n)}
     }
-  `}function oc(e,t,n){let r=t.schema;if(typeof r=="boolean")return`json += JSON.stringify(${n})`;if(r.$ref&&(t=cg(e,t),r=t.schema),r.allOf)return Vxn(e,t,n);if(r.anyOf||r.oneOf)return Wxn(e,t,n);if(r.if&&r.then)return Kxn(e,t,n);if(r.type===void 0){let a=Fxn(r);a&&(r.type=a)}let i="",s=r.type,o=r.nullable===!0;return o&&(i+=`
+  `}function cc(e,t,n){let r=t.schema;if(typeof r=="boolean")return`json += JSON.stringify(${n})`;if(r.$ref&&(t=ug(e,t),r=t.schema),r.allOf)return aOn(e,t,n);if(r.anyOf||r.oneOf)return cOn(e,t,n);if(r.if&&r.then)return uOn(e,t,n);if(r.type===void 0){let a=eOn(r);a&&(r.type=a)}let i="",s=r.type,o=r.nullable===!0;return o&&(i+=`
       if (${n} === null) {
         json += JSON_STR_NULL
       } else {
-    `),r.const!==void 0?i+=zxn(t,n):Array.isArray(s)?i+=Bxn(e,t,n):i+=rit(e,t,n),o&&(i+=`
+    `),r.const!==void 0?i+=oOn(t,n):Array.isArray(s)?i+=iOn(e,t,n):i+=mit(e,t,n),o&&(i+=`
       }
-    `),i}Xk.exports=_le;Xk.exports.default=_le;Xk.exports.build=_le;Xk.exports.validLargeArrayMechanisms=eit;Xk.exports.restore=function({code:e,validator:t,serializer:n}){return Function.apply(null,["validator","serializer",e]).apply(null,[t,n])}});var ait=w((r4r,vK)=>{"use strict";var Zxn=iit();function sit(){return function(t,n){let r=Object.assign({},n,{schema:t});return Yxn.bind(null,r)}}function Yxn(e,{schema:t}){return e.schema&&t.$id&&e.schema[t.$id]&&(e.schema={...e.schema},delete e.schema[t.$id]),Zxn(t,e)}function oit(e={readMode:!0}){if(e.readMode===!0&&typeof e.restoreFunction!="function")throw new Error("You must provide a function for the restoreFunction-option when readMode ON");if(e.readMode!==!0&&typeof e.storeFunction!="function")throw new Error("You must provide a function for the storeFunction-option when readMode OFF");if(e.readMode===!0)return function(){return function(r){return e.restoreFunction(r)}};let t=sit();return function(r,i={}){i.mode="standalone";let s=t(r,i);return function(o){let a=s(o);return e.storeFunction(o,a),new Function(a)}}}vK.exports.SerializerSelector=sit;vK.exports.StandaloneSerializer=oit;vK.exports.default=oit});var cit=w((i4r,qM)=>{"use strict";var{SerializerSelector:Tle,StandaloneSerializer:Jxn}=ait();qM.exports=Tle;qM.exports.default=Tle;qM.exports.SerializerSelector=Tle;qM.exports.StandaloneSerializer=Jxn});var vle=w((s4r,uit)=>{"use strict";var{buildSchemas:Xxn}=EM();function Qxn(e,t){if(e)return new Qk(e,t);let n=Object.assign({buildValidator:null,buildSerializer:null},t?.compilersFactory);if(!n.buildValidator){let i=sle();n.buildValidator=i()}if(!n.buildSerializer){let i=cit();n.buildSerializer=i()}let r={bucket:t&&t.bucket||Xxn,compilersFactory:n,isCustomValidatorCompiler:typeof t?.compilersFactory?.buildValidator=="function",isCustomSerializerCompiler:typeof t?.compilersFactory?.buildValidator=="function"};return new Qk(void 0,r)}var Qk=class{constructor(t,n){this.opts=n||t?.opts,this.addedSchemas=!1,this.compilersFactory=this.opts.compilersFactory,t?(this.schemaBucket=this.opts.bucket(t.getSchemas()),this.validatorCompiler=t.getValidatorCompiler(),this.serializerCompiler=t.getSerializerCompiler(),this.isCustomValidatorCompiler=t.isCustomValidatorCompiler,this.isCustomSerializerCompiler=t.isCustomSerializerCompiler,this.parent=t):(this.schemaBucket=this.opts.bucket(),this.isCustomValidatorCompiler=this.opts.isCustomValidatorCompiler||!1,this.isCustomSerializerCompiler=this.opts.isCustomSerializerCompiler||!1)}add(t){return this.addedSchemas=!0,this.schemaBucket.add(t)}getSchema(t){return this.schemaBucket.getSchema(t)}getSchemas(){return this.schemaBucket.getSchemas()}setValidatorCompiler(t){this.compilersFactory=Object.assign({},this.compilersFactory,{buildValidator:()=>t}),this.validatorCompiler=t,this.isCustomValidatorCompiler=!0}setSerializerCompiler(t){this.compilersFactory=Object.assign({},this.compilersFactory,{buildSerializer:()=>t}),this.serializerCompiler=t,this.isCustomSerializerCompiler=!0}getValidatorCompiler(){return this.validatorCompiler||this.parent&&this.parent.getValidatorCompiler()}getSerializerCompiler(){return this.serializerCompiler||this.parent&&this.parent.getSerializerCompiler()}getSerializerBuilder(){return this.compilersFactory.buildSerializer||this.parent&&this.parent.getSerializerBuilder()}getValidatorBuilder(){return this.compilersFactory.buildValidator||this.parent&&this.parent.getValidatorBuilder()}setupValidator(t){this.validatorCompiler!==void 0&&!this.addedSchemas||(this.validatorCompiler=this.getValidatorBuilder()(this.schemaBucket.getSchemas(),t.ajv))}setupSerializer(t){this.serializerCompiler!==void 0&&!this.addedSchemas||(this.serializerCompiler=this.getSerializerBuilder()(this.schemaBucket.getSchemas(),t.serializerOpts))}};Qk.buildSchemaController=Qxn;uit.exports=Qk});var BM=w((o4r,lit)=>{"use strict";var $xn="2.0.0",eOn=Number.MAX_SAFE_INTEGER||9007199254740991,tOn=16,nOn=250,rOn=["major","premajor","minor","preminor","patch","prepatch","prerelease"];lit.exports={MAX_LENGTH:256,MAX_SAFE_COMPONENT_LENGTH:tOn,MAX_SAFE_BUILD_LENGTH:nOn,MAX_SAFE_INTEGER:eOn,RELEASE_TYPES:rOn,SEMVER_SPEC_VERSION:$xn,FLAG_INCLUDE_PRERELEASE:1,FLAG_LOOSE:2}});var GM=w((a4r,dit)=>{"use strict";var iOn=typeof process=="object"&&process.env&&process.env.NODE_DEBUG&&/\bsemver\b/i.test(process.env.NODE_DEBUG)?(...e)=>console.error("SEMVER",...e):()=>{};dit.exports=iOn});var $k=w((Rh,fit)=>{"use 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AK=w((c4r,pit)=>{"use strict";var hOn=Object.freeze({loose:!0}),mOn=Object.freeze({}),gOn=e=>e?typeof e!="object"?hOn:e:mOn;pit.exports=gOn});var wle=w((u4r,git)=>{"use strict";var hit=/^[0-9]+$/,mit=(e,t)=>{if(typeof e=="number"&&typeof t=="number")return e===t?0:e<t?-1:1;let n=hit.test(e),r=hit.test(t);return n&&r&&(e=+e,t=+t),e===t?0:n&&!r?-1:r&&!n?1:e<t?-1:1},yOn=(e,t)=>mit(t,e);git.exports={compareIdentifiers:mit,rcompareIdentifiers:yOn}});var ac=w((l4r,Sit)=>{"use strict";var RK=GM(),{MAX_LENGTH:yit,MAX_SAFE_INTEGER:wK}=BM(),{safeRe:kK,t:IK}=$k(),SOn=AK(),{compareIdentifiers:kle}=wle(),Ile=class e{constructor(t,n){if(n=SOn(n),t instanceof e){if(t.loose===!!n.loose&&t.includePrerelease===!!n.includePrerelease)return t;t=t.version}else if(typeof t!="string")throw new TypeError(`Invalid version. 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this.raw=this.format(),this.build.length&&(this.raw+=`+${this.build.join(".")}`),this}};Oit.exports=qle});var mT=w((K3r,Nit)=>{"use strict";var Pit=uc(),DOn=(e,t,n=!1)=>{if(e instanceof Pit)return e;try{return new Pit(e,t)}catch(r){if(!n)return null;throw r}};Nit.exports=DOn});var Mit=w((Y3r,Cit)=>{"use strict";var LOn=mT(),UOn=(e,t)=>{let n=LOn(e,t);return n?n.version:null};Cit.exports=UOn});var Lit=w((Z3r,Dit)=>{"use strict";var FOn=mT(),jOn=(e,t)=>{let n=FOn(e.trim().replace(/^[=v]+/,""),t);return n?n.version:null};Dit.exports=jOn});var jit=w((J3r,Fit)=>{"use strict";var Uit=uc(),HOn=(e,t,n,r,i)=>{typeof n=="string"&&(i=r,r=n,n=void 0);try{return new Uit(e instanceof Uit?e.version:e,n).inc(t,r,i).version}catch{return null}};Fit.exports=HOn});var Bit=w((X3r,qit)=>{"use strict";var Hit=mT(),qOn=(e,t)=>{let n=Hit(e,null,!0),r=Hit(t,null,!0),i=n.compare(r);if(i===0)return null;let 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$On=kd(),ePn=(e,t)=>$On(e,t,!0);tst.exports=ePn});var B4=w((s9r,ist)=>{"use strict";var rst=uc(),tPn=(e,t,n)=>{let r=new rst(e,n),i=new rst(t,n);return r.compare(i)||r.compareBuild(i)};ist.exports=tPn});var ost=w((o9r,sst)=>{"use strict";var nPn=B4(),rPn=(e,t)=>e.sort((n,r)=>nPn(n,r,t));sst.exports=rPn});var cst=w((a9r,ast)=>{"use strict";var iPn=B4(),sPn=(e,t)=>e.sort((n,r)=>iPn(r,n,t));ast.exports=sPn});var XM=w((c9r,ust)=>{"use strict";var oPn=kd(),aPn=(e,t,n)=>oPn(e,t,n)>0;ust.exports=aPn});var z4=w((u9r,lst)=>{"use strict";var cPn=kd(),uPn=(e,t,n)=>cPn(e,t,n)<0;lst.exports=uPn});var Ble=w((l9r,dst)=>{"use strict";var lPn=kd(),dPn=(e,t,n)=>lPn(e,t,n)===0;dst.exports=dPn});var zle=w((d9r,fst)=>{"use strict";var fPn=kd(),pPn=(e,t,n)=>fPn(e,t,n)!==0;fst.exports=pPn});var G4=w((f9r,pst)=>{"use strict";var hPn=kd(),mPn=(e,t,n)=>hPn(e,t,n)>=0;pst.exports=mPn});var V4=w((p9r,hst)=>{"use strict";var gPn=kd(),yPn=(e,t,n)=>gPn(e,t,n)<=0;hst.exports=yPn});var Gle=w((h9r,mst)=>{"use 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c=t.includePrerelease?W4[K4.COERCERTLFULL]:W4[K4.COERCERTL],u;for(;(u=c.exec(e))&&(!n||n.index+n[0].length!==e.length);)(!n||u.index+u[0].length!==n.index+n[0].length)&&(n=u),c.lastIndex=u.index+u[1].length+u[2].length;c.lastIndex=-1}if(n===null)return null;let r=n[2],i=n[3]||"0",s=n[4]||"0",o=t.includePrerelease&&n[5]?`-${n[5]}`:"",a=t.includePrerelease&&n[6]?`+${n[6]}`:"";return wPn(`${r}.${i}.${s}${o}${a}`,t)};gst.exports=kPn});var bst=w((g9r,Sst)=>{"use strict";var Vle=class{constructor(){this.max=1e3,this.map=new Map}get(t){let n=this.map.get(t);if(n!==void 0)return this.map.delete(t),this.map.set(t,n),n}delete(t){return this.map.delete(t)}set(t,n){if(!this.delete(t)&&n!==void 0){if(this.map.size>=this.max){let i=this.map.keys().next().value;this.delete(i)}this.map.set(t,n)}return this}};Sst.exports=Vle});var Id=w((y9r,vst)=>{"use strict";var IPn=/\s+/g,Wle=class e{constructor(t,n){if(n=OPn(n),t instanceof e)return t.loose===!!n.loose&&t.includePrerelease===!!n.includePrerelease?t:new e(t.raw,n);if(t instanceof Kle)return this.raw=t.value,this.set=[[t]],this.formatted=void 0,this;if(this.options=n,this.loose=!!n.loose,this.includePrerelease=!!n.includePrerelease,this.raw=t.trim().replace(IPn," "),this.set=this.raw.split("||").map(r=>this.parseRange(r.trim())).filter(r=>r.length),!this.set.length)throw new TypeError(`Invalid SemVer Range: ${this.raw}`);if(this.set.length>1){let r=this.set[0];if(this.set=this.set.filter(i=>!_st(i[0])),this.set.length===0)this.set=[r];else if(this.set.length>1){for(let i of this.set)if(i.length===1&&UPn(i[0])){this.set=[i];break}}}this.formatted=void 0}get range(){if(this.formatted===void 0){this.formatted="";for(let t=0;t<this.set.length;t++){t>0&&(this.formatted+="||");let n=this.set[t];for(let r=0;r<n.length;r++)r>0&&(this.formatted+=" "),this.formatted+=n[r].toString().trim()}}return this.formatted}format(){return this.range}toString(){return this.range}parseRange(t){let r=((this.options.includePrerelease&&DPn)|(this.options.loose&&LPn))+":"+t,i=Est.get(r);if(i)return i;let s=this.options.loose,o=s?Wc[lc.HYPHENRANGELOOSE]:Wc[lc.HYPHENRANGE];t=t.replace(o,KPn(this.options.includePrerelease)),Ei("hyphen replace",t),t=t.replace(Wc[lc.COMPARATORTRIM],NPn),Ei("comparator trim",t),t=t.replace(Wc[lc.TILDETRIM],CPn),Ei("tilde trim",t),t=t.replace(Wc[lc.CARETTRIM],MPn),Ei("caret trim",t);let a=t.split(" ").map(d=>FPn(d,this.options)).join(" ").split(/\s+/).map(d=>WPn(d,this.options));s&&(a=a.filter(d=>(Ei("loose invalid filter",d,this.options),!!d.match(Wc[lc.COMPARATORLOOSE])))),Ei("range list",a);let c=new Map,u=a.map(d=>new Kle(d,this.options));for(let d of u){if(_st(d))return[d];c.set(d.value,d)}c.size>1&&c.has("")&&c.delete("");let l=[...c.values()];return Est.set(r,l),l}intersects(t,n){if(!(t instanceof e))throw new TypeError("a Range is required");return this.set.some(r=>Tst(r,n)&&t.set.some(i=>Tst(i,n)&&r.every(s=>i.every(o=>s.intersects(o,n)))))}test(t){if(!t)return!1;if(typeof t=="string")try{t=new PPn(t,this.options)}catch{return!1}for(let n=0;n<this.set.length;n++)if(YPn(this.set[n],t,this.options))return!0;return!1}};vst.exports=Wle;var xPn=bst(),Est=new xPn,OPn=U4(),Kle=QM(),Ei=JM(),PPn=uc(),{safeRe:Wc,t:lc,comparatorTrimReplace:NPn,tildeTrimReplace:CPn,caretTrimReplace:MPn}=tI(),{FLAG_INCLUDE_PRERELEASE:DPn,FLAG_LOOSE:LPn}=ZM(),_st=e=>e.value==="<0.0.0-0",UPn=e=>e.value==="",Tst=(e,t)=>{let n=!0,r=e.slice(),i=r.pop();for(;n&&r.length;)n=r.every(s=>i.intersects(s,t)),i=r.pop();return n},FPn=(e,t)=>(e=e.replace(Wc[lc.BUILD],""),Ei("comp",e,t),e=qPn(e,t),Ei("caret",e),e=jPn(e,t),Ei("tildes",e),e=zPn(e,t),Ei("xrange",e),e=VPn(e,t),Ei("stars",e),e),Kc=e=>!e||e.toLowerCase()==="x"||e==="*",jPn=(e,t)=>e.trim().split(/\s+/).map(n=>HPn(n,t)).join(" "),HPn=(e,t)=>{let n=t.loose?Wc[lc.TILDELOOSE]:Wc[lc.TILDE];return e.replace(n,(r,i,s,o,a)=>{Ei("tilde",e,r,i,s,o,a);let c;return Kc(i)?c="":Kc(s)?c=`>=${i}.0.0 <${+i+1}.0.0-0`:Kc(o)?c=`>=${i}.${s}.0 <${i}.${+s+1}.0-0`:a?(Ei("replaceTilde pr",a),c=`>=${i}.${s}.${o}-${a} <${i}.${+s+1}.0-0`):c=`>=${i}.${s}.${o} <${i}.${+s+1}.0-0`,Ei("tilde return",c),c})},qPn=(e,t)=>e.trim().split(/\s+/).map(n=>BPn(n,t)).join(" "),BPn=(e,t)=>{Ei("caret",e,t);let n=t.loose?Wc[lc.CARETLOOSE]:Wc[lc.CARET],r=t.includePrerelease?"-0":"";return e.replace(n,(i,s,o,a,c)=>{Ei("caret",e,i,s,o,a,c);let u;return Kc(s)?u="":Kc(o)?u=`>=${s}.0.0${r} <${+s+1}.0.0-0`:Kc(a)?s==="0"?u=`>=${s}.${o}.0${r} <${s}.${+o+1}.0-0`:u=`>=${s}.${o}.0${r} <${+s+1}.0.0-0`:c?(Ei("replaceCaret pr",c),s==="0"?o==="0"?u=`>=${s}.${o}.${a}-${c} <${s}.${o}.${+a+1}-0`:u=`>=${s}.${o}.${a}-${c} <${s}.${+o+1}.0-0`:u=`>=${s}.${o}.${a}-${c} <${+s+1}.0.0-0`):(Ei("no pr"),s==="0"?o==="0"?u=`>=${s}.${o}.${a}${r} <${s}.${o}.${+a+1}-0`:u=`>=${s}.${o}.${a}${r} <${s}.${+o+1}.0-0`:u=`>=${s}.${o}.${a} 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t;t=t.value}t=t.trim().split(/\s+/).join(" "),Zle("comparator",t,n),this.options=n,this.loose=!!n.loose,this.parse(t),this.semver===$M?this.value="":this.value=this.operator+this.semver.version,Zle("comp",this)}parse(t){let n=this.options.loose?Ast[wst.COMPARATORLOOSE]:Ast[wst.COMPARATOR],r=t.match(n);if(!r)throw new TypeError(`Invalid comparator: ${t}`);this.operator=r[1]!==void 0?r[1]:"",this.operator==="="&&(this.operator=""),r[2]?this.semver=new kst(r[2],this.options.loose):this.semver=$M}toString(){return this.value}test(t){if(Zle("Comparator.test",t,this.options.loose),this.semver===$M||t===$M)return!0;if(typeof t=="string")try{t=new kst(t,this.options)}catch{return!1}return Yle(t,this.operator,this.semver,this.options)}intersects(t,n){if(!(t instanceof e))throw new TypeError("a Comparator is required");return this.operator===""?this.value===""?!0:new Ist(t.value,n).test(this.value):t.operator===""?t.value===""?!0:new Ist(this.value,n).test(t.semver):(n=Rst(n),n.includePrerelease&&(this.value==="<0.0.0-0"||t.value==="<0.0.0-0")||!n.includePrerelease&&(this.value.startsWith("<0.0.0")||t.value.startsWith("<0.0.0"))?!1:!!(this.operator.startsWith(">")&&t.operator.startsWith(">")||this.operator.startsWith("<")&&t.operator.startsWith("<")||this.semver.version===t.semver.version&&this.operator.includes("=")&&t.operator.includes("=")||Yle(this.semver,"<",t.semver,n)&&this.operator.startsWith(">")&&t.operator.startsWith("<")||Yle(this.semver,">",t.semver,n)&&this.operator.startsWith("<")&&t.operator.startsWith(">")))}};xst.exports=Jle;var Rst=U4(),{safeRe:Ast,t:wst}=tI(),Yle=Gle(),Zle=JM(),kst=uc(),Ist=Id()});var eD=w((b9r,Ost)=>{"use strict";var ZPn=Id(),JPn=(e,t,n)=>{try{t=new ZPn(t,n)}catch{return!1}return t.test(e)};Ost.exports=JPn});var Nst=w((E9r,Pst)=>{"use strict";var XPn=Id(),QPn=(e,t)=>new XPn(e,t).set.map(n=>n.map(r=>r.value).join(" ").trim().split(" "));Pst.exports=QPn});var 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+${t}`)}function oK(e,t,n,r){if((e.isLeafNode||r.commonPrefix!==!1)&&(n=n||"(empty root node)",t=t[n]={},e.isLeafNode&&(t[oat]=dMn(e,n,r)),n=""),e.staticChildren)for(let i of Object.values(e.staticChildren))oK(i,t,n+i.prefix,r);if(e.parametricChildren)for(let i of Object.values(e.parametricChildren)){let s=Array.from(i.nodePaths).join("|");oK(i,t,n+s,r)}e.wildcardChild&&oK(e.wildcardChild,t,"*",r)}function fMn(e,t){let n={};return oK(e,n,e.prefix,t),aat(n)}uat.exports={prettyPrintTree:fMn}});var pat=w(($9r,fat)=>{"use strict";var dat=function(){};dat.prototype=Object.create(null);fat.exports={NullObject:dat}});var mat=w((eYr,hat)=>{"use strict";var{NullObject:pMn}=pat(),hMn=sK(),Sde=class{constructor(){this.unconstrainedHandler=null,this.constraints=[],this.handlers=[],this.constrainedHandlerStores=null}getMatchingHandler(t){return t===void 0?this.unconstrainedHandler:this._getHandlerMatchingConstraints(t)}addHandler(t,n){let r=n.params,i=n.opts.constraints||{},s={params:r,constraints:i,handler:n.handler,store:n.store||null,_createParamsObject:this._compileCreateParamsObject(r)},o=Object.keys(i);o.length===0&&(this.unconstrainedHandler=s);for(let c of o)this.constraints.includes(c)||(c==="version"?this.constraints.unshift(c):this.constraints.push(c));let a=o.includes(hMn.name);if(!a&&this.handlers.length>=31)throw new Error("find-my-way supports a maximum of 31 route handlers per node when there are constraints, limit reached");this.handlers.push(s),this.handlers.sort((c,u)=>Object.keys(c.constraints).length-Object.keys(u.constraints).length),a||this._compileGetHandlerMatchingConstraints(t,i)}_compileCreateParamsObject(t){let n=[];n.push("const fn = function _createParamsObject (paramsArray) {"),n.push("const params = new NullObject()");for(let r=0;r<t.length;r++)n.push(`params['${t[r]}'] = paramsArray[${r}]`);return n.push("return params"),n.push("}"),n.push("return fn"),new Function("NullObject",n.join(`
+`))(pMn)}_getHandlerMatchingConstraints(){return null}_buildConstraintStore(t,n){for(let r=0;r<this.handlers.length;r++){let s=this.handlers[r].constraints[n];if(s!==void 0){let o=t.get(s)||0;o|=1<<r,t.set(s,o)}}}_constrainedIndexBitmask(t){let n=0;for(let r=0;r<this.handlers.length;r++)this.handlers[r].constraints[t]!==void 0&&(n|=1<<r);return~n}_compileGetHandlerMatchingConstraints(t){this.constrainedHandlerStores={};for(let r of this.constraints){let i=t.newStoreForConstraint(r);this.constrainedHandlerStores[r]=i,this._buildConstraintStore(i,r)}let n=[];n.push(`
     let candidates = ${(1<<this.handlers.length)-1}
     let mask, matches
     `);for(let r of this.constraints){n.push(`
@@ -455,115 +455,114 @@ ${t}`)}function KK(e,t,n,r){if((e.isLeafNode||r.commonPrefix!==!1)&&(n=n||"(empt
       }
       if (candidates === 0) return null;
       `)}for(let r in t.strategies){if(!Object.hasOwn(t.strategies,r))continue;t.strategies[r].mustMatchWhenDerived&&!this.constraints.includes(r)&&n.push(`if (derivedConstraints.${r} !== undefined) return null`)}n.push("return this.handlers[Math.floor(Math.log2(candidates))]"),this._getHandlerMatchingConstraints=new Function("derivedConstraints",n.join(`
-`))}};nat.exports=sde});var sat=w((EZr,iat)=>{"use strict";var $Cn=rat(),$K={STATIC:0,PARAMETRIC:1,WILDCARD:2},ZK=class{constructor(){this.isLeafNode=!1,this.routes=null,this.handlerStorage=null}addRoute(t,n){this.routes===null&&(this.routes=[]),this.handlerStorage===null&&(this.handlerStorage=new $Cn),this.isLeafNode=!0,this.routes.push(t),this.handlerStorage.addHandler(n,t)}},YK=class extends ZK{constructor(){super(),this.staticChildren={}}findStaticMatchingChild(t,n){let r=this.staticChildren[t.charAt(n)];return r===void 0||!r.matchPrefix(t,n)?null:r}getStaticChild(t,n=0){if(t.length===n)return this;let r=this.findStaticMatchingChild(t,n);return r?r.getStaticChild(t,n+r.prefix.length):null}createStaticChild(t){if(t.length===0)return this;let n=this.staticChildren[t.charAt(0)];if(n){let i=1;for(;i<n.prefix.length;i++)if(t.charCodeAt(i)!==n.prefix.charCodeAt(i)){n=n.split(this,i);break}return n.createStaticChild(t.slice(i))}let r=t.charAt(0);return this.staticChildren[r]=new JK(t),this.staticChildren[r]}},JK=class e extends YK{constructor(t){super(),this.prefix=t,this.wildcardChild=null,this.parametricChildren=[],this.kind=$K.STATIC,this._compilePrefixMatch()}getParametricChild(t){let n=t&&t.source,r=this.parametricChildren.find(i=>(i.regex&&i.regex.source)===n);return r||null}createParametricChild(t,n,r){let i=this.getParametricChild(t);return i?(i.nodePaths.add(r),i):(i=new XK(t,n,r),this.parametricChildren.push(i),this.parametricChildren.sort((s,o)=>s.isRegex?o.isRegex?s.staticSuffix===null?1:o.staticSuffix===null?-1:o.staticSuffix.endsWith(s.staticSuffix)?1:s.staticSuffix.endsWith(o.staticSuffix)?-1:0:-1:1),i)}getWildcardChild(){return this.wildcardChild}createWildcardChild(){return this.wildcardChild=this.getWildcardChild()||new QK,this.wildcardChild}split(t,n){let r=this.prefix.slice(0,n),i=this.prefix.slice(n);this.prefix=i,this._compilePrefixMatch();let s=new e(r);return s.staticChildren[i.charAt(0)]=this,t.staticChildren[r.charAt(0)]=s,s}getNextNode(t,n,r,i){let s=this.findStaticMatchingChild(t,n),o=0;if(s===null){if(this.parametricChildren.length===0)return this.wildcardChild;s=this.parametricChildren[0],o=1}this.wildcardChild!==null&&r.push({paramsCount:i,brotherPathIndex:n,brotherNode:this.wildcardChild});for(let a=this.parametricChildren.length-1;a>=o;a--)r.push({paramsCount:i,brotherPathIndex:n,brotherNode:this.parametricChildren[a]});return s}_compilePrefixMatch(){if(this.prefix.length===1){this.matchPrefix=()=>!0;return}let t=[];for(let n=1;n<this.prefix.length;n++){let r=this.prefix.charCodeAt(n);t.push(`path.charCodeAt(i + ${n}) === ${r}`)}this.matchPrefix=new Function("path","i",`return ${t.join(" && ")}`)}},XK=class extends YK{constructor(t,n,r){super(),this.isRegex=!!t,this.regex=t||null,this.staticSuffix=n||null,this.kind=$K.PARAMETRIC,this.nodePaths=new Set([r])}getNextNode(t,n){return this.findStaticMatchingChild(t,n)}},QK=class extends ZK{constructor(){super(),this.kind=$K.WILDCARD}getNextNode(){return null}};iat.exports={StaticNode:JK,ParametricNode:XK,WildcardNode:QK,NODE_TYPES:$K}});var aat=w((bZr,oat)=>{"use strict";var eMn=Z("node:assert");function QM(){if(!(this instanceof QM))return new QM;this.store=new Map,this.maxMajor=0,this.maxMinors={},this.maxPatches={}}QM.prototype.set=function(e,t){if(typeof e!="string")throw new TypeError("Version should be a string");let[n,r,i]=e.split(".",3);if(isNaN(n))throw new TypeError("Major version must be a numeric value");return n=Number(n),r=Number(r)||0,i=Number(i)||0,n>=this.maxMajor&&(this.maxMajor=n,this.store.set("x",t),this.store.set("*",t),this.store.set("x.x",t),this.store.set("x.x.x",t)),r>=(this.maxMinors[n]||0)&&(this.maxMinors[n]=r,this.store.set(`${n}.x`,t),this.store.set(`${n}.x.x`,t)),i>=(this.maxPatches[`${n}.${r}`]||0)&&(this.maxPatches[`${n}.${r}`]=i,this.store.set(`${n}.${r}.x`,t)),this.store.set(`${n}.${r}.${i}`,t),this};QM.prototype.get=function(e){return this.store.get(e)};oat.exports={name:"version",mustMatchWhenDerived:!0,storage:QM,validate(e){eMn(typeof e=="string","Version should be a string")}}});var uat=w((_Zr,cat)=>{"use strict";var tMn=Z("node:assert");function nMn(){let e=new Map,t=[];return{get:n=>{let r=e.get(n);if(r)return r;for(let i of t)if(i.host.test(n))return i.value},set:(n,r)=>{n instanceof RegExp?t.push({host:n,value:r}):e.set(n,r)}}}cat.exports={name:"host",mustMatchWhenDerived:!1,storage:nMn,validate(e){tMn(typeof e=="string"||Object.prototype.toString.call(e)==="[object RegExp]","Host should be a string or a RegExp")}}});var dat=w((TZr,lat)=>{"use strict";var rMn=aat(),iMn=uat(),ode=Z("node:assert"),ade=class{constructor(t){if(this.strategies={version:rMn,host:iMn},this.strategiesInUse=new Set,this.asyncStrategiesInUse=new Set,t)for(let n of Object.values(t))this.addConstraintStrategy(n)}isStrategyUsed(t){return this.strategiesInUse.has(t)||this.asyncStrategiesInUse.has(t)}hasConstraintStrategy(t){let n=this.strategies[t];return n!==void 0?n.isCustom||this.isStrategyUsed(t):!1}addConstraintStrategy(t){if(ode(typeof t.name=="string"&&t.name!=="","strategy.name is required."),ode(t.storage&&typeof t.storage=="function","strategy.storage function is required."),ode(t.deriveConstraint&&typeof t.deriveConstraint=="function","strategy.deriveConstraint function is required."),this.strategies[t.name]&&this.strategies[t.name].isCustom)throw new Error(`There already exists a custom constraint with the name ${t.name}.`);if(this.isStrategyUsed(t.name))throw new Error(`There already exists a route with ${t.name} constraint.`);t.isCustom=!0,t.isAsync=t.deriveConstraint.length===3,this.strategies[t.name]=t,t.mustMatchWhenDerived&&this.noteUsage({[t.name]:t})}deriveConstraints(t,n,r){let i=this.deriveSyncConstraints(t,n);if(r===void 0)return i;this.deriveAsyncConstraints(i,t,n,r)}deriveSyncConstraints(t,n){}noteUsage(t){if(t){let n=this.strategiesInUse.size;for(let r in t){if(!Object.hasOwn(t,r))continue;this.strategies[r].isAsync?this.asyncStrategiesInUse.add(r):this.strategiesInUse.add(r)}n!==this.strategiesInUse.size&&this._buildDeriveConstraints()}}newStoreForConstraint(t){if(!this.strategies[t])throw new Error(`No strategy registered for constraint key ${t}`);return this.strategies[t].storage()}validateConstraints(t){for(let n in t){if(!Object.hasOwn(t,n))continue;let r=t[n];if(typeof r>"u")throw new Error("Can't pass an undefined constraint value, must pass null or no key at all");let i=this.strategies[n];if(!i)throw new Error(`No strategy registered for constraint key ${n}`);i.validate&&i.validate(r)}}deriveAsyncConstraints(t,n,r,i){let s=this.asyncStrategiesInUse.size;if(s===0){i(null,t);return}t=t||{};for(let o of this.asyncStrategiesInUse)this.strategies[o].deriveConstraint(n,r,(c,u)=>{if(c!==null){i(c);return}t[o]=u,--s===0&&i(null,t)})}_buildDeriveConstraints(){if(this.strategiesInUse.size===0)return;let t=["return {"];for(let n of this.strategiesInUse){let r=this.strategies[n];r.isCustom?t.push(`  ${r.name}: this.strategies.${n}.deriveConstraint(req, ctx),`):n==="version"?t.push("   version: req.headers['accept-version'],"):t.push("   host: req.headers.host || req.headers[':authority'],")}t.push("}"),this.deriveSyncConstraints=new Function("req","ctx",t.join(`
-`)).bind(this)}};lat.exports=ade});var pat=w((vZr,fat)=>{"use strict";var sMn=["ACL","BIND","CHECKOUT","CONNECT","COPY","DELETE","GET","HEAD","LINK","LOCK","M-SEARCH","MERGE","MKACTIVITY","MKCALENDAR","MKCOL","MOVE","NOTIFY","OPTIONS","PATCH","POST","PROPFIND","PROPPATCH","PURGE","PUT","QUERY","REBIND","REPORT","SEARCH","SOURCE","SUBSCRIBE","TRACE","UNBIND","UNLINK","UNLOCK","UNSUBSCRIBE"];fat.exports=sMn});var gat=w((AZr,mat)=>{"use strict";function hat(e,t){return e===50?t===53?"%":t===51?"#":t===52?"$":t===54?"&":t===66||t===98?"+":t===67||t===99?",":t===70||t===102?"/":null:e===51?t===65||t===97?":":t===66||t===98?";":t===68||t===100?"=":t===70||t===102?"?":null:e===52&&t===48?"@":null}function oMn(e,t){let n=!1,r=!1,i="";for(let o=1;o<e.length;o++){let a=e.charCodeAt(o);if(a===37){let c=e.charCodeAt(o+1),u=e.charCodeAt(o+2);hat(c,u)===null?n=!0:(r=!0,c===50&&u===53&&(n=!0,e=e.slice(0,o+1)+"25"+e.slice(o+1),o+=2),o+=2)}else if(a===63||a===35||a===59&&t){i=e.slice(o+1),e=e.slice(0,o);break}}return{path:n?decodeURI(e):e,querystring:i,shouldDecodeParam:r}}function aMn(e){let t=e.indexOf("%");if(t===-1)return e;let n="",r=t;for(let i=t;i<e.length;i++)if(e.charCodeAt(i)===37){let s=e.charCodeAt(i+1),o=e.charCodeAt(i+2),a=hat(s,o);n+=e.slice(r,i)+a,r=i+3}return e.slice(0,t)+n+e.slice(r)}mat.exports={safeDecodeURI:oMn,safeDecodeURIComponent:aMn}});var dde=w((RZr,wat)=>{"use strict";var Ls=Z("node:assert"),cMn=Tot(),rI=zot(),lde=yC(),{prettyPrintTree:uMn}=Qot(),{StaticNode:yat,NODE_TYPES:Sat}=sat(),lMn=dat(),nI=pat(),cde=WK(),{safeDecodeURI:Eat,safeDecodeURIComponent:ude}=gat(),bat=/^https?:\/\/.*?\//,mT=/(\/:[^/()]*?)\?(\/?)/,_at=/[.*+?^${}()|[\]\\]/g,Tat=/\/\/+/g;if(!rI(bat))throw new Error("the FULL_PATH_REGEXP is not safe, update this module");if(!rI(mT))throw new Error("the OPTIONAL_PARAM_REGEXP is not safe, update this module");if(!rI(_at))throw new Error("the ESCAPE_REGEXP is not safe, update this module");if(!rI(Tat))throw new Error("the REMOVE_DUPLICATE_SLASHES_REGEXP is not safe, update this module");function _i(e){if(!(this instanceof _i))return new _i(e);e=e||{},this._opts=e,e.defaultRoute?(Ls(typeof e.defaultRoute=="function","The default route must be a function"),this.defaultRoute=e.defaultRoute):this.defaultRoute=null,e.onBadUrl?(Ls(typeof e.onBadUrl=="function","The bad url handler must be a function"),this.onBadUrl=e.onBadUrl):this.onBadUrl=null,e.buildPrettyMeta?(Ls(typeof e.buildPrettyMeta=="function","buildPrettyMeta must be a function"),this.buildPrettyMeta=e.buildPrettyMeta):this.buildPrettyMeta=dMn,e.querystringParser?(Ls(typeof e.querystringParser=="function","querystringParser must be a function"),this.querystringParser=e.querystringParser):this.querystringParser=t=>t.length===0?{}:cMn.parse(t),this.caseSensitive=e.caseSensitive===void 0?!0:e.caseSensitive,this.ignoreTrailingSlash=e.ignoreTrailingSlash||!1,this.ignoreDuplicateSlashes=e.ignoreDuplicateSlashes||!1,this.maxParamLength=e.maxParamLength||100,this.allowUnsafeRegex=e.allowUnsafeRegex||!1,this.constrainer=new lMn(e.constraints),this.useSemicolonDelimiter=e.useSemicolonDelimiter||!1,this.routes=[],this.trees={}}_i.prototype.on=function(t,n,r,i,s){typeof r=="function"&&(i!==void 0&&(s=i),i=r,r={}),Ls(typeof n=="string","Path should be a string"),Ls(n.length>0,"The path could not be empty"),Ls(n[0]==="/"||n[0]==="*","The first character of a path should be `/` or `*`"),Ls(typeof i=="function","Handler should be a function");let o=n.match(mT);if(o){Ls(n.length===o.index+o[0].length,"Optional Parameter needs to be the last parameter of the path");let u=n.replace(mT,"$1$2"),l=n.replace(mT,"$2")||"/";this.on(t,u,r,i,s),this.on(t,l,r,i,s);return}let a=n;this.ignoreDuplicateSlashes&&(n=e3(n)),this.ignoreTrailingSlash&&(n=t3(n));let c=Array.isArray(t)?t:[t];for(let u of c)Ls(typeof u=="string","Method should be a string"),Ls(nI.includes(u),`Method '${u}' is not an http method.`),this._on(u,n,r,i,s,a)};_i.prototype._on=function(t,n,r,i,s){let o={};r.constraints!==void 0&&(Ls(typeof r.constraints=="object"&&r.constraints!==null,"Constraints should be an object"),Object.keys(r.constraints).length!==0&&(o=r.constraints)),this.constrainer.validateConstraints(o),this.constrainer.noteUsage(o),this.trees[t]===void 0&&(this.trees[t]=new yat("/"));let a=n;if(a==="*"&&this.trees[t].prefix.length!==0){let f=this.trees[t];this.trees[t]=new yat(""),this.trees[t].staticChildren["/"]=f}let c=this.trees[t],u=c.prefix.length,l=[];for(let f=0;f<=a.length;f++){if(a.charCodeAt(f)===58&&a.charCodeAt(f+1)===58){f++;continue}let p=a.charCodeAt(f)===58&&a.charCodeAt(f+1)!==58,h=a.charCodeAt(f)===42;if(p||h||f===a.length&&f!==u){let m=a.slice(u,f);this.caseSensitive||(m=m.toLowerCase()),m=m.replaceAll("::",":"),m=m.replaceAll("%","%25"),c=c.createStaticChild(m)}if(p){let m=!1,y=!0,g="",E=[],S=f+1;for(let b=S;;b++){let _=a.charCodeAt(b),T=_===40,A=_===45||_===46,R=_===47||b===a.length;if(T||A||R){let x=a.slice(S,b);if(l.push(x),m=m||T||A,T){let P=Rat(a,b),C=a.slice(b,P+1);this.allowUnsafeRegex||Ls(rI(new RegExp(C)),`The regex '${C}' is not safe!`),E.push(Aat(C)),b=P+1,y=!0}else E.push(y?"(.*?)":`(${g}|(?:(?!${g}).)*)`),y=!1;let k=b;for(;b<a.length;b++){let P=a.charCodeAt(b);if(P===47)break;if(P===58)if(a.charCodeAt(b+1)===58)b++;else break}let N=a.slice(k,b);if(N&&(N=N.replaceAll("::",":"),N=N.replaceAll("%","%25"),E.push(g=vat(N))),S=b+1,R||a.charCodeAt(b)===47||b===a.length){let P=m?"()"+N:N,C=a.slice(f,b);a=a.slice(0,f+1)+P+a.slice(b),f+=P.length;let F=m?new RegExp("^"+E.join("")+"$"):null;c=c.createParametricChild(F,N||null,C),u=f+1;break}}}}else if(h&&(l.push("*"),c=c.createWildcardChild(),u=f+1,f!==a.length-1))throw new Error("Wildcard must be the last character in the route")}this.caseSensitive||(a=a.toLowerCase()),a==="*"&&(a="/*");for(let f of this.routes){let p=f.opts.constraints||{};if(f.method===t&&f.pattern===a&&lde(p,o))throw new Error(`Method '${t}' already declared for route '${a}' with constraints '${JSON.stringify(o)}'`)}let d={method:t,path:n,pattern:a,params:l,opts:r,handler:i,store:s};this.routes.push(d),c.addRoute(d,this.constrainer)};_i.prototype.hasRoute=function(t,n,r){return this.findRoute(t,n,r)!==null};_i.prototype.findRoute=function(t,n,r={}){if(this.trees[t]===void 0)return null;let i=n,s=this.trees[t],o=s.prefix.length,a=[];for(let c=0;c<=i.length;c++){if(i.charCodeAt(c)===58&&i.charCodeAt(c+1)===58){c++;continue}let u=i.charCodeAt(c)===58&&i.charCodeAt(c+1)!==58,l=i.charCodeAt(c)===42;if(u||l||c===i.length&&c!==o){let d=i.slice(o,c);if(this.caseSensitive||(d=d.toLowerCase()),d=d.replaceAll("::",":"),d=d.replaceAll("%","%25"),s=s.getStaticChild(d),s===null)return null}if(u){let d=!1,f=!0,p="",h=[],m=c+1;for(let y=m;;y++){let g=i.charCodeAt(y),E=g===40,S=g===45||g===46,b=g===47||y===i.length;if(E||S||b){let _=i.slice(m,y);if(a.push(_),d=d||E||S,E){let R=Rat(i,y),x=i.slice(y,R+1);this.allowUnsafeRegex||Ls(rI(new RegExp(x)),`The regex '${x}' is not safe!`),h.push(Aat(x)),y=R+1,f=!1}else h.push(f?"(.*?)":`(${p}|(?:(?!${p}).)*)`),f=!1;let T=y;for(;y<i.length;y++){let R=i.charCodeAt(y);if(R===47)break;if(R===58)if(i.charCodeAt(y+1)===58)y++;else break}let A=i.slice(T,y);if(A&&(A=A.replaceAll("::",":"),A=A.replaceAll("%","%25"),h.push(p=vat(A))),m=y+1,b||i.charCodeAt(y)===47||y===i.length){let R=d?"()"+A:A,x=i.slice(c,y);i=i.slice(0,c+1)+R+i.slice(y),c+=R.length;let k=d?new RegExp("^"+h.join("")+"$"):null;if(s=s.getParametricChild(k,A||null,x),s===null)return null;o=c+1;break}}}}else if(l&&(a.push("*"),s=s.getWildcardChild(),o=c+1,c!==i.length-1))throw new Error("Wildcard must be the last character in the route")}this.caseSensitive||(i=i.toLowerCase());for(let c of this.routes){let u=c.opts.constraints||{};if(c.method===t&&c.pattern===i&&lde(u,r))return{handler:c.handler,store:c.store,params:c.params}}return null};_i.prototype.hasConstraintStrategy=function(e){return this.constrainer.hasConstraintStrategy(e)};_i.prototype.addConstraintStrategy=function(e){this.constrainer.addConstraintStrategy(e),this._rebuild(this.routes)};_i.prototype.reset=function(){this.trees={},this.routes=[]};_i.prototype.off=function(t,n,r){Ls(typeof n=="string","Path should be a string"),Ls(n.length>0,"The path could not be empty"),Ls(n[0]==="/"||n[0]==="*","The first character of a path should be `/` or `*`"),Ls(typeof r>"u"||typeof r=="object"&&!Array.isArray(r)&&r!==null,"Constraints should be an object or undefined.");let i=n.match(mT);if(i){Ls(n.length===i.index+i[0].length,"Optional Parameter needs to be the last parameter of the path");let 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0)if(_==="boolean"||E===null||_==="string"&&E&&E==+E&&!(E%1))T=+E;else return qn.errors=[{instancePath:t+"/keepAliveTimeout",schemaPath:"#/properties/keepAliveTimeout/type",keyword:"type",params:{type:"integer"},message:"must be integer"}],!1;T!==void 0&&(E=T,e!==void 0&&(e.keepAliveTimeout=T))}var a=S===o;if(a){if(e.forceCloseConnections!==void 0){let _=e.forceCloseConnections,T=o,A=o,R=!1,x=null,k=o;if(typeof _!="string"){let C=typeof _,F;if(F===void 0)if(C=="number"||C=="boolean")F=""+_;else if(_===null)F="";else{let V={instancePath:t+"/forceCloseConnections",schemaPath:"#/properties/forceCloseConnections/oneOf/0/type",keyword:"type",params:{type:"string"},message:"must be string"};s===null?s=[V]:s.push(V),o++}F!==void 0&&(_=F,e!==void 0&&(e.forceCloseConnections=F))}if(o===k&&typeof _=="string"&&!dDn.test(_)){let C={instancePath:t+"/forceCloseConnections",schemaPath:"#/properties/forceCloseConnections/oneOf/0/pattern",keyword:"pattern",params:{pattern:"idle"},message:'must match 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qn.errors=[{instancePath:t+"/onProtoPoisoning",schemaPath:"#/properties/onProtoPoisoning/type",keyword:"type",params:{type:"string"},message:"must be string"}],!1;_e!==void 0&&(z=_e,e!==void 0&&(e.onProtoPoisoning=_e))}var a=J===o;if(a){let le=e.onConstructorPoisoning,_e=o;if(typeof le!="string"){let Ue=typeof le,Ln;if(Ln===void 0)if(Ue=="number"||Ue=="boolean")Ln=""+le;else if(le===null)Ln="";else return qn.errors=[{instancePath:t+"/onConstructorPoisoning",schemaPath:"#/properties/onConstructorPoisoning/type",keyword:"type",params:{type:"string"},message:"must be string"}],!1;Ln!==void 0&&(le=Ln,e!==void 0&&(e.onConstructorPoisoning=Ln))}var a=_e===o;if(a){let Ue=e.pluginTimeout,Ln=o;if(!(typeof Ue=="number"&&!(Ue%1)&&!isNaN(Ue)&&isFinite(Ue))){let sn=typeof Ue,dr;if(dr===void 0)if(sn==="boolean"||Ue===null||sn==="string"&&Ue&&Ue==+Ue&&!(Ue%1))dr=+Ue;else return 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n=Number(n),r=Number(r)||0,i=Number(i)||0,n>=this.maxMajor&&(this.maxMajor=n,this.store.set("x",t),this.store.set("*",t),this.store.set("x.x",t),this.store.set("x.x.x",t)),r>=(this.maxMinors[n]||0)&&(this.maxMinors[n]=r,this.store.set(`${n}.x`,t),this.store.set(`${n}.x.x`,t)),i>=(this.maxPatches[`${n}.${r}`]||0)&&(this.maxPatches[`${n}.${r}`]=i,this.store.set(`${n}.${r}.x`,t)),this.store.set(`${n}.${r}.${i}`,t),this};sD.prototype.get=function(e){return this.store.get(e)};Sat.exports={name:"version",mustMatchWhenDerived:!0,storage:sD,validate(e){gMn(typeof e=="string","Version should be a string")}}});var _at=w((rYr,Eat)=>{"use strict";var yMn=K("node:assert");function SMn(){let e=new Map,t=[];return{get:n=>{let r=e.get(n);if(r)return r;for(let i of t)if(i.host.test(n))return i.value},set:(n,r)=>{n instanceof RegExp?t.push({host:n,value:r}):e.set(n,r)}}}Eat.exports={name:"host",mustMatchWhenDerived:!1,storage:SMn,validate(e){yMn(typeof e=="string"||Object.prototype.toString.call(e)==="[object RegExp]","Host should be a string or a RegExp")}}});var vat=w((iYr,Tat)=>{"use strict";var bMn=bat(),EMn=_at(),bde=K("node:assert"),Ede=class{constructor(t){if(this.strategies={version:bMn,host:EMn},this.strategiesInUse=new Set,this.asyncStrategiesInUse=new Set,t)for(let n of Object.values(t))this.addConstraintStrategy(n)}isStrategyUsed(t){return this.strategiesInUse.has(t)||this.asyncStrategiesInUse.has(t)}hasConstraintStrategy(t){let n=this.strategies[t];return n!==void 0?n.isCustom||this.isStrategyUsed(t):!1}addConstraintStrategy(t){if(bde(typeof t.name=="string"&&t.name!=="","strategy.name is required."),bde(t.storage&&typeof t.storage=="function","strategy.storage function is required."),bde(t.deriveConstraint&&typeof t.deriveConstraint=="function","strategy.deriveConstraint function is required."),this.strategies[t.name]&&this.strategies[t.name].isCustom)throw new Error(`There already exists a custom constraint with the name ${t.name}.`);if(this.isStrategyUsed(t.name))throw new Error(`There already exists a route with ${t.name} constraint.`);t.isCustom=!0,t.isAsync=t.deriveConstraint.length===3,this.strategies[t.name]=t,t.mustMatchWhenDerived&&this.noteUsage({[t.name]:t})}deriveConstraints(t,n,r){let i=this.deriveSyncConstraints(t,n);if(r===void 0)return i;this.deriveAsyncConstraints(i,t,n,r)}deriveSyncConstraints(t,n){}noteUsage(t){if(t){let n=this.strategiesInUse.size;for(let r in t){if(!Object.hasOwn(t,r))continue;this.strategies[r].isAsync?this.asyncStrategiesInUse.add(r):this.strategiesInUse.add(r)}n!==this.strategiesInUse.size&&this._buildDeriveConstraints()}}newStoreForConstraint(t){if(!this.strategies[t])throw new Error(`No strategy registered for constraint key ${t}`);return this.strategies[t].storage()}validateConstraints(t){for(let n in t){if(!Object.hasOwn(t,n))continue;let r=t[n];if(typeof r>"u")throw new Error("Can't pass an undefined constraint value, must pass null or no key at all");let i=this.strategies[n];if(!i)throw new Error(`No strategy registered for constraint key ${n}`);i.validate&&i.validate(r)}}deriveAsyncConstraints(t,n,r,i){let s=this.asyncStrategiesInUse.size;if(s===0){i(null,t);return}t=t||{};for(let o of this.asyncStrategiesInUse)this.strategies[o].deriveConstraint(n,r,(c,u)=>{if(c!==null){i(c);return}t[o]=u,--s===0&&i(null,t)})}_buildDeriveConstraints(){if(this.strategiesInUse.size===0)return;let t=["return {"];for(let n of this.strategiesInUse){let r=this.strategies[n];r.isCustom?t.push(`  ${r.name}: this.strategies.${n}.deriveConstraint(req, ctx),`):n==="version"?t.push("   version: req.headers['accept-version'],"):t.push("   host: req.headers.host || req.headers[':authority'],")}t.push("}"),this.deriveSyncConstraints=new Function("req","ctx",t.join(`
+`)).bind(this)}};Tat.exports=Ede});var Aat=w((sYr,Rat)=>{"use strict";var _Mn=["ACL","BIND","CHECKOUT","CONNECT","COPY","DELETE","GET","HEAD","LINK","LOCK","M-SEARCH","MERGE","MKACTIVITY","MKCALENDAR","MKCOL","MOVE","NOTIFY","OPTIONS","PATCH","POST","PROPFIND","PROPPATCH","PURGE","PUT","QUERY","REBIND","REPORT","SEARCH","SOURCE","SUBSCRIBE","TRACE","UNBIND","UNLINK","UNLOCK","UNSUBSCRIBE"];Rat.exports=_Mn});var Iat=w((oYr,kat)=>{"use strict";function wat(e,t){return e===50?t===53?"%":t===51?"#":t===52?"$":t===54?"&":t===66||t===98?"+":t===67||t===99?",":t===70||t===102?"/":null:e===51?t===65||t===97?":":t===66||t===98?";":t===68||t===100?"=":t===70||t===102?"?":null:e===52&&t===48?"@":null}function TMn(e,t){let n=!1,r=!1,i="";for(let o=1;o<e.length;o++){let a=e.charCodeAt(o);if(a===37){let c=e.charCodeAt(o+1),u=e.charCodeAt(o+2);wat(c,u)===null?n=!0:(r=!0,c===50&&u===53&&(n=!0,e=e.slice(0,o+1)+"25"+e.slice(o+1),o+=2),o+=2)}else if(a===63||a===35||a===59&&t){i=e.slice(o+1),e=e.slice(0,o);break}}return{path:n?decodeURI(e):e,querystring:i,shouldDecodeParam:r}}function vMn(e){let t=e.indexOf("%");if(t===-1)return e;let n="",r=t;for(let i=t;i<e.length;i++)if(e.charCodeAt(i)===37){let s=e.charCodeAt(i+1),o=e.charCodeAt(i+2),a=wat(s,o);n+=e.slice(r,i)+a,r=i+3}return e.slice(0,t)+n+e.slice(r)}kat.exports={safeDecodeURI:TMn,safeDecodeURIComponent:vMn}});var Rde=w((aYr,Fat)=>{"use strict";var Ls=K("node:assert"),RMn=Mot(),sI=nat(),vde=RC(),{prettyPrintTree:AMn}=lat(),{StaticNode:xat,NODE_TYPES:Oat}=yat(),wMn=vat(),iI=Aat(),_de=sK(),{safeDecodeURI:Pat,safeDecodeURIComponent:Tde}=Iat(),Nat=/^https?:\/\/.*?\//,yT=/(\/:[^/()]*?)\?(\/?)/,Cat=/[.*+?^${}()|[\]\\]/g,Mat=/\/\/+/g;if(!sI(Nat))throw new Error("the FULL_PATH_REGEXP is not safe, update this module");if(!sI(yT))throw new Error("the OPTIONAL_PARAM_REGEXP is not safe, update this module");if(!sI(Cat))throw new Error("the ESCAPE_REGEXP is not safe, update this module");if(!sI(Mat))throw new Error("the REMOVE_DUPLICATE_SLASHES_REGEXP is not safe, update this module");function _i(e){if(!(this instanceof _i))return new _i(e);e=e||{},this._opts=e,e.defaultRoute?(Ls(typeof e.defaultRoute=="function","The default route must be a function"),this.defaultRoute=e.defaultRoute):this.defaultRoute=null,e.onBadUrl?(Ls(typeof e.onBadUrl=="function","The bad url handler must be a function"),this.onBadUrl=e.onBadUrl):this.onBadUrl=null,e.buildPrettyMeta?(Ls(typeof e.buildPrettyMeta=="function","buildPrettyMeta must be a function"),this.buildPrettyMeta=e.buildPrettyMeta):this.buildPrettyMeta=kMn,e.querystringParser?(Ls(typeof e.querystringParser=="function","querystringParser must be a function"),this.querystringParser=e.querystringParser):this.querystringParser=t=>t.length===0?{}:RMn.parse(t),this.caseSensitive=e.caseSensitive===void 0?!0:e.caseSensitive,this.ignoreTrailingSlash=e.ignoreTrailingSlash||!1,this.ignoreDuplicateSlashes=e.ignoreDuplicateSlashes||!1,this.maxParamLength=e.maxParamLength||100,this.allowUnsafeRegex=e.allowUnsafeRegex||!1,this.constrainer=new wMn(e.constraints),this.useSemicolonDelimiter=e.useSemicolonDelimiter||!1,this.routes=[],this.trees={}}_i.prototype.on=function(t,n,r,i,s){typeof r=="function"&&(i!==void 0&&(s=i),i=r,r={}),Ls(typeof n=="string","Path should be a string"),Ls(n.length>0,"The path could not be empty"),Ls(n[0]==="/"||n[0]==="*","The first character of a path should be `/` or `*`"),Ls(typeof i=="function","Handler should be a function");let o=n.match(yT);if(o){Ls(n.length===o.index+o[0].length,"Optional Parameter needs to be the last parameter of the path");let u=n.replace(yT,"$1$2"),l=n.replace(yT,"$2")||"/";this.on(t,u,r,i,s),this.on(t,l,r,i,s);return}let a=n;this.ignoreDuplicateSlashes&&(n=pK(n)),this.ignoreTrailingSlash&&(n=hK(n));let c=Array.isArray(t)?t:[t];for(let u of c)Ls(typeof u=="string","Method should be a string"),Ls(iI.includes(u),`Method '${u}' is not an http method.`),this._on(u,n,r,i,s,a)};_i.prototype._on=function(t,n,r,i,s){let o={};r.constraints!==void 0&&(Ls(typeof r.constraints=="object"&&r.constraints!==null,"Constraints should be an object"),Object.keys(r.constraints).length!==0&&(o=r.constraints)),this.constrainer.validateConstraints(o),this.constrainer.noteUsage(o),this.trees[t]===void 0&&(this.trees[t]=new xat("/"));let a=n;if(a==="*"&&this.trees[t].prefix.length!==0){let f=this.trees[t];this.trees[t]=new xat(""),this.trees[t].staticChildren["/"]=f}let c=this.trees[t],u=c.prefix.length,l=[];for(let f=0;f<=a.length;f++){if(a.charCodeAt(f)===58&&a.charCodeAt(f+1)===58){f++;continue}let p=a.charCodeAt(f)===58&&a.charCodeAt(f+1)!==58,h=a.charCodeAt(f)===42;if(p||h||f===a.length&&f!==u){let m=a.slice(u,f);this.caseSensitive||(m=m.toLowerCase()),m=m.replaceAll("::",":"),m=m.replaceAll("%","%25"),c=c.createStaticChild(m)}if(p){let m=!1,g=!0,y="",b=[],S=f+1;for(let E=S;;E++){let _=a.charCodeAt(E),T=_===40,R=_===45||_===46,A=_===47||E===a.length;if(T||R||A){let x=a.slice(S,E);if(l.push(x),m=m||T||R,T){let N=Uat(a,E),C=a.slice(E,N+1);this.allowUnsafeRegex||Ls(sI(new RegExp(C)),`The regex '${C}' is not safe!`),b.push(Lat(C)),E=N+1,g=!0}else b.push(g?"(.*?)":`(${y}|(?:(?!${y}).)*)`),g=!1;let k=E;for(;E<a.length;E++){let N=a.charCodeAt(E);if(N===47)break;if(N===58)if(a.charCodeAt(E+1)===58)E++;else break}let P=a.slice(k,E);if(P&&(P=P.replaceAll("::",":"),P=P.replaceAll("%","%25"),b.push(y=Dat(P))),S=E+1,A||a.charCodeAt(E)===47||E===a.length){let N=m?"()"+P:P,C=a.slice(f,E);a=a.slice(0,f+1)+N+a.slice(E),f+=N.length;let L=m?new RegExp("^"+b.join("")+"$"):null;c=c.createParametricChild(L,P||null,C),u=f+1;break}}}}else if(h&&(l.push("*"),c=c.createWildcardChild(),u=f+1,f!==a.length-1))throw new Error("Wildcard must be the last character in the route")}this.caseSensitive||(a=a.toLowerCase()),a==="*"&&(a="/*");for(let f of this.routes){let p=f.opts.constraints||{};if(f.method===t&&f.pattern===a&&vde(p,o))throw new Error(`Method '${t}' already declared for route '${a}' with constraints '${JSON.stringify(o)}'`)}let d={method:t,path:n,pattern:a,params:l,opts:r,handler:i,store:s};this.routes.push(d),c.addRoute(d,this.constrainer)};_i.prototype.hasRoute=function(t,n,r){return this.findRoute(t,n,r)!==null};_i.prototype.findRoute=function(t,n,r={}){if(this.trees[t]===void 0)return null;let i=n,s=this.trees[t],o=s.prefix.length,a=[];for(let c=0;c<=i.length;c++){if(i.charCodeAt(c)===58&&i.charCodeAt(c+1)===58){c++;continue}let u=i.charCodeAt(c)===58&&i.charCodeAt(c+1)!==58,l=i.charCodeAt(c)===42;if(u||l||c===i.length&&c!==o){let d=i.slice(o,c);if(this.caseSensitive||(d=d.toLowerCase()),d=d.replaceAll("::",":"),d=d.replaceAll("%","%25"),s=s.getStaticChild(d),s===null)return null}if(u){let d=!1,f=!0,p="",h=[],m=c+1;for(let g=m;;g++){let y=i.charCodeAt(g),b=y===40,S=y===45||y===46,E=y===47||g===i.length;if(b||S||E){let _=i.slice(m,g);if(a.push(_),d=d||b||S,b){let A=Uat(i,g),x=i.slice(g,A+1);this.allowUnsafeRegex||Ls(sI(new RegExp(x)),`The regex '${x}' is not safe!`),h.push(Lat(x)),g=A+1,f=!1}else h.push(f?"(.*?)":`(${p}|(?:(?!${p}).)*)`),f=!1;let T=g;for(;g<i.length;g++){let A=i.charCodeAt(g);if(A===47)break;if(A===58)if(i.charCodeAt(g+1)===58)g++;else break}let R=i.slice(T,g);if(R&&(R=R.replaceAll("::",":"),R=R.replaceAll("%","%25"),h.push(p=Dat(R))),m=g+1,E||i.charCodeAt(g)===47||g===i.length){let A=d?"()"+R:R,x=i.slice(c,g);i=i.slice(0,c+1)+A+i.slice(g),c+=A.length;let k=d?new RegExp("^"+h.join("")+"$"):null;if(s=s.getParametricChild(k,R||null,x),s===null)return null;o=c+1;break}}}}else if(l&&(a.push("*"),s=s.getWildcardChild(),o=c+1,c!==i.length-1))throw new Error("Wildcard must be the last character in the route")}this.caseSensitive||(i=i.toLowerCase());for(let c of this.routes){let u=c.opts.constraints||{};if(c.method===t&&c.pattern===i&&vde(u,r))return{handler:c.handler,store:c.store,params:c.params}}return null};_i.prototype.hasConstraintStrategy=function(e){return this.constrainer.hasConstraintStrategy(e)};_i.prototype.addConstraintStrategy=function(e){this.constrainer.addConstraintStrategy(e),this._rebuild(this.routes)};_i.prototype.reset=function(){this.trees={},this.routes=[]};_i.prototype.off=function(t,n,r){Ls(typeof n=="string","Path should be a string"),Ls(n.length>0,"The path could not be empty"),Ls(n[0]==="/"||n[0]==="*","The first character of a path should be `/` or `*`"),Ls(typeof r>"u"||typeof r=="object"&&!Array.isArray(r)&&r!==null,"Constraints should be an object or undefined.");let i=n.match(yT);if(i){Ls(n.length===i.index+i[0].length,"Optional Parameter needs to be the last parameter of the path");let o=n.replace(yT,"$1$2"),a=n.replace(yT,"$2");this.off(t,o,r),this.off(t,a,r);return}this.ignoreDuplicateSlashes&&(n=pK(n)),this.ignoreTrailingSlash&&(n=hK(n));let s=Array.isArray(t)?t:[t];for(let o of s)this._off(o,n,r)};_i.prototype._off=function(t,n,r){Ls(typeof t=="string","Method should be a string"),Ls(iI.includes(t),`Method '${t}' is not an http method.`);function i(c){return t!==c.method||n!==c.path}function s(c){return i(c)||!vde(r,c.opts.constraints||{})}let o=r?s:i,a=this.routes.filter(o);this._rebuild(a)};_i.prototype.lookup=function(t,n,r,i){if(typeof r=="function"&&(i=r,r=void 0),i===void 0){let s=this.constrainer.deriveConstraints(t,r),o=this.find(t.method,t.url,s);return this.callHandler(o,t,n,r)}this.constrainer.deriveConstraints(t,r,(s,o)=>{if(s!==null){i(s);return}try{let a=this.find(t.method,t.url,o),c=this.callHandler(a,t,n,r);i(null,c)}catch(a){i(a)}})};_i.prototype.callHandler=function(t,n,r,i){return t===null?this._defaultRoute(n,r,i):i===void 0?t.handler(n,r,t.params,t.store,t.searchParams):t.handler.call(i,n,r,t.params,t.store,t.searchParams)};_i.prototype.find=function(t,n,r){let i=this.trees[t];if(i===void 0)return null;n.charCodeAt(0)!==47&&(n=n.replace(Nat,"/")),this.ignoreDuplicateSlashes&&(n=pK(n));let s,o,a;try{s=Pat(n,this.useSemicolonDelimiter),n=s.path,o=s.querystring,a=s.shouldDecodeParam}catch{return this._onBadUrl(n)}this.ignoreTrailingSlash&&(n=hK(n));let c=n;this.caseSensitive===!1&&(n=n.toLowerCase());let u=this.maxParamLength,l=i.prefix.length,d=[],f=n.length,p=[];for(;;){if(l===f&&i.isLeafNode){let y=i.handlerStorage.getMatchingHandler(r);if(y!==null)return{handler:y.handler,store:y.store,params:y._createParamsObject(d),searchParams:this.querystringParser(o)}}let h=i.getNextNode(n,l,p,d.length);if(h===null){if(p.length===0)return null;let y=p.pop();l=y.brotherPathIndex,d.splice(y.paramsCount),h=y.brotherNode}if(i=h,i.kind===Oat.STATIC){l+=i.prefix.length;continue}if(i.kind===Oat.WILDCARD){let y=c.slice(l);a&&(y=Tde(y)),d.push(y),l=f;continue}let m=c.indexOf("/",l);m===-1&&(m=f);let g=c.slice(l,m);if(a&&(g=Tde(g)),i.isRegex){let y=i.regex.exec(g);if(y===null)continue;for(let b=1;b<y.length;b++){let S=y[b];if(S.length>u)return null;d.push(S)}}else{if(g.length>u)return null;d.push(g)}l=m}};_i.prototype._rebuild=function(e){this.reset();for(let t of e){let{method:n,path:r,opts:i,handler:s,store:o}=t;this._on(n,r,i,s,o)}};_i.prototype._defaultRoute=function(e,t,n){if(this.defaultRoute!==null)return n===void 0?this.defaultRoute(e,t):this.defaultRoute.call(n,e,t);t.statusCode=404,t.end()};_i.prototype._onBadUrl=function(e){if(this.onBadUrl===null)return null;let t=this.onBadUrl;return{handler:(n,r,i)=>t(e,n,r),params:{},store:null}};_i.prototype.prettyPrint=function(e={}){let t=e.method;e.buildPrettyMeta=this.buildPrettyMeta.bind(this);let n=null;if(t===void 0){let{version:r,host:i,...s}=this.constrainer.strategies;s[_de.name]=_de;let o=new 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n=1;for(;t<e.length;){if(t++,e.charCodeAt(t)===92){t++;continue}if(e.charCodeAt(t)===41?n--:e.charCodeAt(t)===40&&n++,!n)return t}throw new TypeError('Invalid regexp expression in "'+e+'"')}function kMn(e){return e?e.store?Object.assign({},e.store):{}:{}}});var Hat=w((cYr,jat)=>{"use strict";function Ade(e,t,n,r){if(n===void 0){t.header("content-length","0"),r(null,null);return}if(typeof n.resume=="function"){n.on("error",s=>{t.log.error({err:s},"Error on Stream found for HEAD route")}),n.resume(),r(null,null);return}if(typeof n.getReader=="function"){n.cancel("Stream cancelled by HEAD route").catch(s=>{t.log.error({err:s},"Error on Stream found for HEAD route")}),r(null,null);return}let i=""+Buffer.byteLength(n);t.header("content-length",i),r(null,null)}function IMn(e){return e==null?Ade:Array.isArray(e)?[...e,Ade]:[e,Ade]}jat.exports={parseHeadOnSendHandlers:IMn}});var oct=w((uYr,sct)=>{"use strict";var 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Ee={};s===null?s=[Ee]:s.push(Ee),o++}var l=se===o;if(l){let Ee={};s===null?s=[Ee]:s.push(Ee),o++}else o=ee,s!==null&&(ee?s.length=ee:s=null);var d=Y===o;if(o=H,s!==null&&(H?s.length=H:s=null),d){let Ee=o;e.https=!0;var d=Ee===o;j=d}if(!j){let Ee={instancePath:t+"/https",schemaPath:"#/properties/https/if",keyword:"if",params:{failingKeyword:"then"},message:'must match "then" schema'};return s===null?s=[Ee]:s.push(Ee),o++,qn.errors=s,!1}var a=M===o}else var a=!0;if(a){let U=e.ignoreTrailingSlash,M=o;if(typeof U!="boolean"){let j;if(j===void 0)if(U==="false"||U===0||U===null)j=!1;else if(U==="true"||U===1)j=!0;else return qn.errors=[{instancePath:t+"/ignoreTrailingSlash",schemaPath:"#/properties/ignoreTrailingSlash/type",keyword:"type",params:{type:"boolean"},message:"must be boolean"}],!1;j!==void 0&&(U=j,e!==void 0&&(e.ignoreTrailingSlash=j))}var a=M===o;if(a){let j=e.ignoreDuplicateSlashes,Y=o;if(typeof j!="boolean"){let se;if(se===void 0)if(j==="false"||j===0||j===null)se=!1;else 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qn.errors=[{instancePath:t+"/onProtoPoisoning",schemaPath:"#/properties/onProtoPoisoning/type",keyword:"type",params:{type:"string"},message:"must be string"}],!1;Ee!==void 0&&(z=Ee,e!==void 0&&(e.onProtoPoisoning=Ee))}var a=J===o;if(a){let le=e.onConstructorPoisoning,Ee=o;if(typeof le!="string"){let Ue=typeof le,Ln;if(Ln===void 0)if(Ue=="number"||Ue=="boolean")Ln=""+le;else if(le===null)Ln="";else return qn.errors=[{instancePath:t+"/onConstructorPoisoning",schemaPath:"#/properties/onConstructorPoisoning/type",keyword:"type",params:{type:"string"},message:"must be string"}],!1;Ln!==void 0&&(le=Ln,e!==void 0&&(e.onConstructorPoisoning=Ln))}var a=Ee===o;if(a){let Ue=e.pluginTimeout,Ln=o;if(!(typeof Ue=="number"&&!(Ue%1)&&!isNaN(Ue)&&isFinite(Ue))){let sn=typeof Ue,dr;if(dr===void 0)if(sn==="boolean"||Ue===null||sn==="string"&&Ue&&Ue==+Ue&&!(Ue%1))dr=+Ue;else return 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qn.errors=[{instancePath:t+"/routerOptions/ignoreTrailingSlash",schemaPath:"#/properties/routerOptions/properties/ignoreTrailingSlash/type",keyword:"type",params:{type:"boolean"},message:"must be boolean"}],!1;_t!==void 0&&(It=_t,Se!==void 0&&(Se.ignoreTrailingSlash=_t))}var p=dn===o;if(p){let _t=Se.ignoreDuplicateSlashes,ra=o;if(typeof _t!="boolean"){let xi;if(xi===void 0)if(_t==="false"||_t===0||_t===null)xi=!1;else if(_t==="true"||_t===1)xi=!0;else return qn.errors=[{instancePath:t+"/routerOptions/ignoreDuplicateSlashes",schemaPath:"#/properties/routerOptions/properties/ignoreDuplicateSlashes/type",keyword:"type",params:{type:"boolean"},message:"must be boolean"}],!1;xi!==void 0&&(_t=xi,Se!==void 0&&(Se.ignoreDuplicateSlashes=xi))}var p=ra===o;if(p){let xi=Se.maxParamLength,vp=o;if(!(typeof xi=="number"&&!(xi%1)&&!isNaN(xi)&&isFinite(xi))){let Rp=typeof xi,lE;if(lE===void 0)if(Rp==="boolean"||xi===null||Rp==="string"&&xi&&xi==+xi&&!(xi%1))lE=+xi;else return qn.errors=[{instancePath:t+"/routerOptions/maxParamLength",schemaPath:"#/properties/routerOptions/properties/maxParamLength/type",keyword:"type",params:{type:"integer"},message:"must be integer"}],!1;lE!==void 0&&(xi=lE,Se!==void 0&&(Se.maxParamLength=lE))}var p=vp===o;if(p){let Rp=Se.allowUnsafeRegex,lE=o;if(typeof Rp!="boolean"){let au;if(au===void 0)if(Rp==="false"||Rp===0||Rp===null)au=!1;else if(Rp==="true"||Rp===1)au=!0;else return qn.errors=[{instancePath:t+"/routerOptions/allowUnsafeRegex",schemaPath:"#/properties/routerOptions/properties/allowUnsafeRegex/type",keyword:"type",params:{type:"boolean"},message:"must be boolean"}],!1;au!==void 0&&(Rp=au,Se!==void 0&&(Se.allowUnsafeRegex=au))}var p=lE===o;if(p){let au=Se.useSemicolonDelimiter,$Ct=o;if(typeof au!="boolean"){let iR;if(iR===void 0)if(au==="false"||au===0||au===null)iR=!1;else if(au==="true"||au===1)iR=!0;else return qn.errors=[{instancePath:t+"/routerOptions/useSemicolonDelimiter",schemaPath:"#/properties/routerOptions/properties/useSemicolonDelimiter/type",keyword:"type",params:{type:"boolean"},message:"must be boolean"}],!1;iR!==void 0&&(au=iR,Se!==void 0&&(Se.useSemicolonDelimiter=iR))}var p=$Ct===o}}}}}else return qn.errors=[{instancePath:t+"/routerOptions",schemaPath:"#/properties/routerOptions/type",keyword:"type",params:{type:"object"},message:"must be object"}],!1;var a=at===o}else var a=!0;if(a)if(e.constraints!==void 0){let Se=e.constraints,at=o;if(o===at)if(Se&&typeof Se=="object"&&!Array.isArray(Se))for(let It in Se){let dn=Se[It],_t=o;if(o===_t)if(dn&&typeof dn=="object"&&!Array.isArray(dn)){let ra;if(dn.name===void 0&&(ra="name")||dn.storage===void 0&&(ra="storage")||dn.validate===void 0&&(ra="validate")||dn.deriveConstraint===void 0&&(ra="deriveConstraint"))return qn.errors=[{instancePath:t+"/constraints/"+It.replace(/~/g,"~0").replace(/\//g,"~1"),schemaPath:"#/properties/constraints/additionalProperties/required",keyword:"required",params:{missingProperty:ra},message:"must have required property '"+ra+"'"}],!1;if(dn.name!==void 0){let jl=dn.name;if(typeof jl!="string"){let xi=typeof jl,vp;if(vp===void 0)if(xi=="number"||xi=="boolean")vp=""+jl;else if(jl===null)vp="";else return qn.errors=[{instancePath:t+"/constraints/"+It.replace(/~/g,"~0").replace(/\//g,"~1")+"/name",schemaPath:"#/properties/constraints/additionalProperties/properties/name/type",keyword:"type",params:{type:"string"},message:"must be string"}],!1;vp!==void 0&&(jl=vp,dn!==void 0&&(dn.name=vp))}}}else return qn.errors=[{instancePath:t+"/constraints/"+It.replace(/~/g,"~0").replace(/\//g,"~1"),schemaPath:"#/properties/constraints/additionalProperties/type",keyword:"type",params:{type:"object"},message:"must be object"}],!1;var h=_t===o;if(!h)break}else return qn.errors=[{instancePath:t+"/constraints",schemaPath:"#/properties/constraints/type",keyword:"type",params:{type:"object"},message:"must be object"}],!1;var a=at===o}else var a=!0}}}}}}}}}}}}}}}}}}}}}}}}else return qn.errors=[{instancePath:t,schemaPath:"#/type",keyword:"type",params:{type:"object"},message:"must be object"}],!1;return qn.errors=s,o===0}mK.exports.defaultInitOptions={connectionTimeout:0,keepAliveTimeout:72e3,maxRequestsPerSocket:0,requestTimeout:0,handlerTimeout:0,bodyLimit:1048576,caseSensitive:!0,allowUnsafeRegex:!1,disableRequestLogging:!1,ignoreTrailingSlash:!1,ignoreDuplicateSlashes:!1,maxParamLength:100,onProtoPoisoning:"error",onConstructorPoisoning:"error",pluginTimeout:1e4,requestIdHeader:!1,requestIdLogLabel:"reqId",http2SessionTimeout:72e3,exposeHeadRoutes:!0,useSemicolonDelimiter:!1,allowErrorHandlerOverride:!0,routerOptions:{ignoreTrailingSlash:!1,ignoreDuplicateSlashes:!1,maxParamLength:100,allowUnsafeRegex:!1,useSemicolonDelimiter:!1}}});var 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Set on the terminal fix-hat advance."),closure_reply_unread:O.boolean().optional().describe("True when the reply hasn't been acknowledged in the SPA yet. Flipped to false by the dismiss action.")}).describe("Wire shape of a feedback item"),d1n=O.object({intent:O.string(),stage:O.string(),count:O.number().int().nonnegative(),items:O.array(l1n)}).describe("GET /api/feedback/:intent/:stage response body"),f1n=O.object({pageId:O.string().min(1).max(200),x:O.number().min(0).max(1),y:O.number().min(0).max(1),viewportWidth:O.number().int().positive().max(1e4),viewportHeight:O.number().int().positive().max(1e4)}).describe("Pin anchor metadata for visual annotations"),p1n=6e6,Xde=O.object({title:O.string().min(1).max(200),body:O.string().min(1).max(1e4),origin:Wde.optional().default("user-visual"),author:O.string().max(200).optional().describe("Ignored by the server \u2014 retained for backward compatibility only. The HTTP feedback-create handler always stamps `user` as the author for HTTP-sourced submissions (see packages/haiku/src/http.ts:1526). Do NOT rely on this field to convey identity: there is no session-context author resolution today, so honoring client-supplied values would let any HTTP caller forge authorship. Treat any value submitted here as untrusted data that crosses into the server trust boundary and is discarded."),source_ref:O.string().max(1e3).nullable().optional(),anchor:f1n.optional(),inline_anchor:sut.optional(),resolution:g3.optional().describe("Author's preferred resolution path. Router defaults to stage_revisit when omitted."),attachment_data_url:O.string().max(p1n).regex(/^data:image\/(png|jpeg|webp);base64,[A-Za-z0-9+/=]+$/,{message:"attachment_data_url must be a base64-encoded data URL for png/jpeg/webp (svg rejected \u2014 stored-XSS risk)"}).optional()}).describe("POST /api/feedback/:intent/:stage request body"),h1n=O.object({feedback_id:O.string(),file:O.string().describe("Path to the committed feedback file (relative to .haiku root)"),status:O.literal("pending"),message:O.string()}).describe("POST /api/feedback/:intent/:stage response body"),Qde=O.object({status:dD.optional(),closed_by:O.string().max(200).optional(),resolution:g3.nullable().optional()}).refine(e=>e.status!==void 0||e.closed_by!==void 0||e.resolution!==void 0,{message:"At least one of 'status' / 'closed_by' / 'resolution' must be provided"}).describe("PUT /api/feedback/:intent/:stage/:id request body"),m1n=O.object({feedback_id:O.string(),updated_fields:O.array(O.string()).describe("List of frontmatter fields that were actually changed"),message:O.string()}).describe("PUT /api/feedback/:intent/:stage/:id response body"),g1n=O.object({feedback_id:O.string(),deleted:O.literal(!0),message:O.string()}).describe("DELETE /api/feedback/:intent/:stage/:id response body"),$de=O.object({body:O.string().min(1).max(5e3),author:O.string().max(200).optional().describe("Optional author hint. When omitted the server stamps 'user' or the agent name from session context."),close_as_answered:O.boolean().optional()}).describe("POST /api/feedback/:intent/:stage/:id/replies request body"),y1n=O.object({feedback_id:O.string(),reply_index:O.number().int().nonnegative().describe("Zero-based index of the new reply inside replies[]."),status:dD,message:O.string()}).describe("POST /api/feedback/:intent/:stage/:id/replies response body")});var tfe,nfe,S1n,E3=v(()=>{"use strict";Sl();dg();tfe=O.object({question:O.string().max(1e3).describe("Question prompt text (echoed back)"),selectedOptions:O.array(O.string().max(200)).max(50).describe("Options the user selected (may contain one or many)"),otherText:O.string().max(2e3).optional().describe("Free-text 'other' input, when the question allows it")}).describe("A single question's answer in a multi-question session"),nfe=O.object({answers:O.array(tfe).max(50),feedback:O.string().max(1e4).optional(),annotations:y3.optional()}).describe("POST /question/:sessionId/answer request body"),S1n=O.object({ok:O.literal(!0)}).describe("POST /question/:sessionId/answer response body")});var E1n,rfe,b1n,ife=v(()=>{"use strict";Sl();dg();E1n=O.enum(["approved","changes_requested"]).describe("Canonical review decision. Anything != approved is coerced to changes_requested server-side."),rfe=O.object({decision:O.string().describe("Raw decision string \u2014 server canonicalizes to 'approved' or 'changes_requested'."),feedback:O.string().optional().describe("Reviewer-provided free-text feedback"),annotations:oI.optional()}).describe("POST /review/:sessionId/decide request body"),b1n=O.object({ok:O.literal(!0),decision:E1n,feedback:O.string()}).describe("POST /review/:sessionId/decide response body")});var mD,h9r,_1n,T1n,v1n,sfe,A1n,R1n,w1n,out,k1n,I1n,x1n,O1n,N1n,P1n,C1n,M1n,D1n,L1n,U1n,F1n,j1n,H1n,q1n,B1n,G1n,z1n,V1n,W1n,K1n,Z1n,m9r,Y1n,ofe=v(()=>{"use strict";Sl();dg();mD=O.record(O.unknown()).describe("Opaque parsed artifact (ParsedIntent / ParsedUnit / CriterionItem / etc.)"),h9r=O.enum(["auto","ask","external","await"]).describe("Review-gate type declared in STAGE.md"),_1n=O.object({stage:O.string(),mergedIntoMain:O.boolean(),status:O.string().optional().describe("Deprecated v3 shim \u2014 derived"),phase:O.string().optional().describe("Deprecated v3 shim \u2014 derived"),started_at:O.string().optional(),completed_at:O.string().nullable().optional(),gate_entered_at:O.string().nullable().optional(),gate_outcome:O.string().nullable().optional()}).describe("Per-stage status snapshot. v4: only `stage` and `mergedIntoMain` are authoritative; other fields are deprecated v3 shims pending SPA rewrite."),T1n=O.object({name:O.string(),content:O.string()}),v1n=O.object({stage:O.string(),name:O.string(),content:O.string()}),sfe=O.object({stage:O.string(),name:O.string(),type:O.enum(["markdown","html","image","video","code","file"]),language:O.string().optional(),directory:O.string().optional(),content:O.string().optional(),relativePath:O.string().optional(),intentRelativePath:O.string().optional()}),A1n=O.object({path:O.string(),name:O.string(),type:O.enum(["markdown","html","image","file"]),url:O.string(),previewBody:O.string().optional(),sizeBytes:O.number().int().nonnegative().optional(),exists:O.boolean()}),R1n=O.object({path:O.string(),stage:O.string(),intent:O.string(),action:O.enum(["modified","added","deleted"]),age:O.string(),kind:O.enum(["spec","output","discovery_output","discovery_mandate"]).optional(),unit:O.string().optional(),role:O.string().optional()}).describe("One drift-sweep entry: a witnessed unit/output/discovery artifact whose on-disk content no longer matches the stored hash. Surfaced in the SPA's DriftBanner."),w1n=O.object({feedback:O.string(),reviewedAt:O.string(),intentRawContent:O.string(),unitRawContents:O.record(O.string())}).describe("Snapshot of the prior review attached when the current review follows a changes_requested decision."),out=O.object({key:O.string(),label:O.string(),status:O.enum(["done","active","pending"])}).describe("One milestone in the granular per-stage progress track"),k1n=O.object({studio:O.string(),stage:O.string(),phase:O.enum(["elaborate","execute","review","approve","complete","gate",""]),step:O.string().optional(),nextState:O.object({stage:O.string().optional(),phase:O.enum(["elaborate","execute","review","approve","complete","gate"]).optional(),step:O.string().optional(),blockedOn:O.enum(["user-gate","external-review","feedback-fix"]).nullable().optional()}).nullable().optional(),pending_signals:O.array(O.string()).optional(),milestones:O.array(out).optional(),progress_index:O.number().int().nonnegative().optional(),progress_total:O.number().int().nonnegative().optional()}).describe("Unified current-state snapshot \u2014 derived fresh per request from per-unit frontmatter and branch-merge state. The single source of truth for 'where is this intent right now?'."),I1n=O.enum(["ad_hoc_done","open_pr","submit_external","start_intent","start_execution","complete_stage","submit_intent_review","complete_intent","approve"]),x1n=O.object({label:O.string(),kind:I1n}).describe("Server-computed Approve button label + kind. The SPA renders `label` verbatim so the button reflects the next consequence (e.g. 'Complete Development Stage', 'Open Development Pull Request', 'Mark Intent Done')."),O1n=O.object({url:O.string(),source:O.enum(["github-pr-ref","gitlab-mr-ref"]),prNumber:O.number().int().positive(),matchedSha:O.string()}).describe("PR/MR auto-discovered via raw git from a published head ref"),N1n=O.object({session_id:O.string(),session_type:O.literal("review"),status:fD,intent_slug:O.string().optional(),intent_dir:O.string().optional(),gate_type:O.string().optional(),target:O.string().optional(),decision:O.string().optional(),feedback:O.string().optional(),annotations:oI.optional(),intent:mD.optional(),units:O.array(mD).optional(),criteria:O.array(mD).optional(),mermaid:O.string().optional(),intent_mockups:O.array(mD).optional(),unit_mockups:O.record(O.array(mD)).optional(),stage_states:O.record(_1n).optional(),stage_summaries:O.record(O.string()).optional(),stage_briefs:O.record(O.string()).optional(),stage_observations:O.record(O.string()).optional(),stage_elaborations:O.record(O.string()).optional(),reflection:O.string().optional(),stage_milestones:O.record(O.array(out)).optional(),current_state:k1n.optional(),knowledge_files:O.array(T1n).optional(),stage_artifacts:O.array(v1n).optional(),output_artifacts:O.array(sfe).optional(),other_files:O.array(sfe).optional(),intent_other_files:O.array(sfe).optional(),unit_outputs:O.record(O.array(A1n)).optional(),output_declared_by:O.record(O.array(O.string())).optional(),previous_review:w1n.optional(),drift:O.array(R1n).optional(),discovered_review_url:O1n.nullable().optional(),ad_hoc:O.boolean().optional(),stage:O.string().optional(),gate_context:O.string().optional(),next_stage:O.string().nullable().optional(),next_phase:O.string().nullable().optional(),approve_action:x1n.optional(),await_active:O.boolean().optional(),await_count:O.number().int().nonnegative().optional(),pending_decision:O.object({decision:O.string(),feedback:O.string(),submitted_at:O.string()}).optional(),last_await_started_at:O.string().optional(),last_await_ended_at:O.string().optional()}).describe("Review session payload (GET /api/session/:id, session_type=review)"),P1n=O.object({question:O.string(),header:O.string().optional(),options:O.array(O.string()),multiSelect:O.boolean().optional()}).describe("A single question in a multi-question session"),C1n=O.object({question:O.string(),selectedOptions:O.array(O.string()),otherText:O.string().optional()}),M1n=O.object({session_id:O.string(),session_type:O.literal("question"),status:fD,title:O.string().optional(),context:O.string().optional(),questions:O.array(P1n).optional(),answers:O.array(C1n).optional(),image_urls:O.array(O.string()).optional()}).describe("Question session payload (GET /api/session/:id, session_type=question)"),D1n=O.object({name:O.string(),description:O.string(),preview_html:O.string()}),L1n=O.object({archetype:O.string(),comments:O.string().optional(),annotations:O.object({pins:O.array(O.object({x:O.number(),y:O.number(),text:O.string()})).optional(),screenshots:O.array(O.object({comment:O.string(),screenshot_data_url:O.string()})).optional()}).optional()}).describe("Saved direction selection (nullable on the session)"),U1n=O.object({session_id:O.string(),session_type:O.literal("design_direction"),status:fD,title:O.string().optional(),intent_slug:O.string().optional(),context:O.string().optional(),archetypes:O.array(D1n).optional(),selection:L1n.nullable().optional()}).describe("Design-direction session payload (GET /api/session/:id, session_type=design_direction)"),F1n=O.enum(["studio","mode","stage","confirm","url_input"]),j1n=O.object({id:O.string(),label:O.string(),description:O.string().optional(),secondary:O.boolean().optional()}).describe("One option in a picker session \u2014 id is the canonical value the wire echoes back, label/description are display-only. `secondary` options are hidden behind a 'Show all\u2026' expansion (studio picker shortlist)."),H1n=O.object({id:O.string()}).describe("Saved picker selection (nullable on the session)"),q1n=O.object({session_id:O.string(),session_type:O.literal("picker"),status:fD,intent_slug:O.string().optional(),kind:F1n,title:O.string(),prompt:O.string(),options:O.array(j1n),selection:H1n.nullable().optional()}).describe("Picker session payload (GET /api/session/:id, session_type=picker) \u2014 engine-side blocking selection for studio/mode/stage and destructive-confirm"),B1n=O.object({id:O.string().min(1).max(256)}).describe("POST /picker/:sessionId/select request body \u2014 id must match one of the session's options"),G1n=O.object({ok:O.literal(!0),id:O.string()}).describe("Success response from POST /picker/:sessionId/select"),z1n=O.object({session_id:O.string(),session_type:O.literal("view"),status:O.enum(["open","closed"]),intent_slug:O.string(),studio:O.string().optional(),stage:O.string().optional(),artifact:O.string().optional(),mode:O.enum(["viewer","boot"]),boot_port:O.number().int().positive().optional(),boot_command:O.string().optional()}).describe("View session payload (GET /api/session/:id, session_type=view). Opened by haiku_view, closed by haiku_view_close."),V1n=O.discriminatedUnion("session_type",[N1n,M1n,U1n,q1n,z1n]).describe("GET /api/session/:id response body \u2014 discriminated on session_type"),W1n=O.object({pending:O.number().int().nonnegative(),addressed:O.number().int().nonnegative(),closed:O.number().int().nonnegative(),rejected:O.number().int().nonnegative()}).describe("Per-status counts of feedback items for the active stage."),K1n=O.object({name:O.string(),status:O.string(),phase:O.string().optional(),iteration:O.number().optional(),iterations:O.array(O.unknown()).optional(),visits:O.number().optional()}),Z1n=O.object({slug:O.string(),title:O.string(),status:O.string()}),m9r=O.object({intent:O.string(),stage:O.string().nullable(),phase:O.string().optional(),units:O.array(Z1n),feedback_summary:W1n,stages:O.array(K1n)}).describe("GET /api/review/current response body"),Y1n=O.object({}).describe("HEAD /api/session/:id/heartbeat \u2014 no body. 200 if session exists, 404 otherwise.")});var afe=v(()=>{"use strict";zde();dg();Jde();efe();E3();ife();ofe()});var cfe=v(()=>{"use strict"});var aut=v(()=>{"use strict";Cie();afe();cfe()});function eUn(e){return!(e.includes("\0")||Q1n.test(e)||e.startsWith("/")||e.startsWith("\\")||$1n.test(e)||e==="."||e.split(/[\\/]+/).some(n=>n===".."))}var Q1n,$1n,cut,N9r,uut=v(()=>{"use strict";Sl();Q1n=/%(?:00|2e|2f|5c)/i,$1n=/^[A-Za-z]:/;cut=O.object({sessionId:O.string().min(1).describe("Session ID (UUID issued by sessions.createSession)"),path:O.string().min(1).refine(eUn,{message:"path must be a safe relative path \u2014 no '..' segments, absolute paths, null bytes, or URL-encoded variants (%00, %2e, %2f, %5c)"}).describe("Relative path under the session's serving root")}).describe("Path parameters for /files/:sessionId/*path and aliases"),N9r=O.object({sessionId:O.string().min(1),index:O.number().int().nonnegative().describe("Zero-based image index within the question session")}).describe("Path parameters for /question-image/:sessionId/:index")});var lut,tUn,nUn,rUn,iUn,dut,fut,sUn,oUn,aUn,cUn,uUn,lUn,dUn,fUn,pUn,hUn,mUn,gUn,L9r,put=v(()=>{"use strict";Sl();dg();E3();lut=65536,tUn=O.object({type:O.literal("decide"),decision:O.string().max(32),feedback:O.string().max(1e4).optional(),annotations:oI.optional()}).describe("Review decision frame (session_type=review)"),nUn=O.object({type:O.literal("answer"),answers:O.array(tfe),feedback:O.string().max(1e4).optional(),annotations:y3.optional()}).describe("Question answer frame (session_type=question)"),rUn=O.object({type:O.literal("select"),mode:O.enum(["select","regenerate"]),archetype:O.string().max(64).optional(),keep:O.array(O.string().max(64)).max(50).optional(),comments:O.string().max(1e4).optional(),annotations:O.object({pins:O.array(O.object({x:O.number(),y:O.number(),text:O.string().max(1e3)})).optional()}).optional()}).describe("Design-direction frame (session_type=design_direction) \u2014 mode='select' finalizes a choice, mode='regenerate' asks the agent for more variants"),iUn=O.object({type:O.literal("heartbeat"),t:O.number().optional()}).describe("Client liveness heartbeat (any session_type). Sent every 30s over the long-lived WS; the server records presence and replies heartbeat_ack."),dut=(e,t)=>{let n=JSON.stringify(e).length;n>lut&&t.addIssue({code:O.ZodIssueCode.custom,message:`Serialized frame size ${n} exceeds ${lut} bytes`,path:[]})},fut=O.discriminatedUnion("type",[tUn,nUn,rUn,iUn]).superRefine(dut).describe("Any client -> server WebSocket envelope"),sUn=O.object({type:O.literal("ack"),ok:O.literal(!0),decision:O.string().max(32).optional(),feedback:O.string().max(1e4).optional()}).describe("Server acknowledgement frame. Shape aligns with the payload sendToWebSocket emits after a successful client message."),oUn=O.object({type:O.literal("error"),error:O.string().max(500)}).describe("Server error frame"),aUn=O.object({type:O.literal("heartbeat_ack"),t:O.number().optional()}).describe("Server heartbeat acknowledgement \u2014 presence was recorded; the connection is still seen as live."),cUn=O.object({type:O.literal("session-update"),session_id:O.string().max(64),status:O.string().max(32),decision:O.string().max(32).optional(),feedback:O.string().max(1e4).optional()}).describe("Server broadcast when a session's durable status changes (review decided, question answered, direction selected)."),uUn=O.object({type:O.literal("tick_committed"),action:O.string().max(64),phase:O.string().max(64).optional(),stage:O.string().max(64).optional(),iteration:O.number().int().nonnegative().optional()}),lUn=O.object({type:O.literal("unit_changed"),unit_name:O.string().max(128),status:O.string().max(32),stage:O.string().max(64).optional(),hat:O.string().max(64).optional()}),dUn=O.object({type:O.literal("feedback_changed"),feedback_id:O.string().max(64),status:O.string().max(32),stage:O.string().max(64).optional()}),fUn=O.object({type:O.literal("gate_prepared"),session_id:O.string().max(64),stage:O.string().max(64),gate_context:O.string().max(64),review_url:O.string().max(2048),browser_attached:O.boolean()}),pUn=O.object({type:O.literal("await_state_changed"),session_id:O.string().max(64),await_active:O.boolean()}),hUn=O.object({type:O.literal("pending_decision_changed"),session_id:O.string().max(64),queued:O.boolean()}),mUn=O.discriminatedUnion("type",[uUn,lUn,dUn,fUn,pUn,hUn]),gUn=O.object({type:O.literal("intent-event"),session_id:O.string().max(64),event:mUn}).describe("Server broadcast \u2014 a per-intent live-state event for any SPA tab subscribed to this intent's channel."),L9r=O.discriminatedUnion("type",[sUn,oUn,aUn,cUn,gUn]).superRefine(dut).describe("Any server -> client WebSocket envelope")});var bT=v(()=>{"use strict";aut();afe();zde();Vde();dg();Jde();efe();uut();E3();ife();ofe();put();cfe()});function fg(e){let t=e.match(/^---\r?\n([\s\S]*?)\r?\n---(\r?\n[\s\S]*)?$/);if(!t)return{text:e,removed:[]};let{cleaned:n,removed:r}=hut(t[1]);return r.length===0?{text:e,removed:[]}:{text:`---
+${n}`),t.destroy(e)}function cut(e){if(typeof e!="function")throw new sut(typeof e);if(e.constructor.name==="AsyncFunction")throw new sut("AsyncFunction")}yD.exports=nfe;yD.exports.errorCodes=_T;yD.exports.fastify=nfe;yD.exports.default=nfe});var _l=v(()=>{Qne();Qne()});var f1n,rfe=v(()=>{"use strict";_l();f1n=O.object({ok:O.literal(!0),stage:O.string().describe("The stage the advance signal was resolved against."),open_feedback_count:O.number().int().min(0).describe("Number of pending / fixing / addressed feedback items on the stage at the time of the call. Zero means the engine stamped the user slots; non-zero means it didn't \u2014 the cursor will walk Track B first."),stamped_user_slots:O.boolean().describe("True when this call stamped `reviews.user` and `approvals.user` on the units that needed them (i.e., open_feedback_count was zero).")}).describe("POST /api/advance/:sessionId response body")});var p1n,h1n,ife=v(()=>{"use strict";_l();p1n=O.enum(["loopback","token"]).describe("Transport invariant \u2014 routes declare 'loopback' (v1 runtime policy) or 'token' (reserved for future bearer-token routes)."),h1n=O.object({token:O.string().min(1).max(512).describe("Bearer token value (1..512 chars)."),issued_at:O.string().min(1).max(64).describe("ISO-8601 timestamp the token was minted (\u2264 64 chars)."),expires_at:O.string().min(1).max(64).optional().describe("ISO-8601 expiry timestamp. Optional \u2014 tokens without an expiry are long-lived (deployment policy determines acceptability).")}).describe("Session-token skeleton for future non-loopback deployments. Not wired to any current route.")});var fut,sfe,put,SD,xK,hut,mut,ofe,gut,cI,m1n,g1n,OK,NYr,bD,y1n,CYr,ED,PK,_D,afe,fg=v(()=>{"use strict";_l();ife();fut=O.enum(["human","agent","system"]).describe("Derived from origin. Human-authored feedback cannot be closed/deleted by agents. `system` is reserved for engine-authored FBs (e.g. reject-loop escalation) that the SPA surfaces to humans but treats distinctly from agent and human authorship."),sfe=O.enum(["adversarial-review","studio-review","engine-review","drift","discovery","external-pr","external-mr","user-visual","user-chat","user-question","user-revisit","agent"]).describe("Origin of a feedback item. Derives author_type (human|agent) via state-tools.deriveAuthorType. `user-question` marks a reply-seeking item that the router handles with `feedback_answer` instead of a fix loop. `engine-review` is the engine-built review roles (spec/continuity/cross-stage-consistency)."),put=O.enum(["blocker","high","medium","low"]).describe("Finding urgency: blocker (stops the gate) > high (fix before delivery) > medium (should fix) > low (nit). Drives fix-loop dispatch order."),SD=O.enum(["pending","fixing","addressed","answered","non_actionable","escalated","closed","rejected"]).describe("Lifecycle: pending -> fixing -> addressed -> closed, or pending -> answered (question resolved by reply, no code delta), or pending -> non_actionable (valid but no code fix \u2014 a question, out-of-scope note, or immutable/superseded target; terminally closed and acknowledged, distinct from rejected/invalid), or pending -> rejected, or pending|fixing -> escalated (bolt cap exceeded on agent FBs). Only pending/fixing block the stage gate; escalated is a human-intervention waypoint, not a blocker."),xK=O.enum(["question","inline_fix","stage_revisit"]).describe("Routing hint for the FSM's feedback resolver. null = caller has no preference, router defaults to stage_revisit."),hut=O.object({author:O.string().min(1).max(200).describe("Free-form author handle ('user', agent name)."),author_type:fut,body:O.string().min(1).max(5e3).describe("Reply body (\u2264 5,000 chars)."),created_at:O.string().max(40).describe("ISO-8601 timestamp the reply was written.")}).describe("A single reply on a feedback thread"),mut=fut,ofe=O.object({x:O.number().describe("Pin x-coordinate (0..1 relative to canvas width)"),y:O.number().describe("Pin y-coordinate (0..1 relative to canvas height)"),text:O.string().max(1e3).describe("Pin comment body (capped at 1,000 chars)")}).describe("Screenshot pin annotation"),gut=O.object({selectedText:O.string().max(2e3).describe("Highlighted text the comment anchors to (capped at 2,000 chars)"),comment:O.string().max(1e4).describe("Comment body (capped at 10,000 chars)"),paragraph:O.number().describe("Zero-based paragraph index inside the reviewed artifact"),location:O.string().max(500).optional().describe("Artifact path (relative to intent root) the comment was made on \u2014 e.g. `knowledge/DISCOVERY.md` or `stages/security/THREAT-MODEL.md`. Omitted for unit-spec / in-session contexts where the parent has a single implicit location.")}).describe("Inline text-anchored comment annotation"),cI=O.object({screenshot:O.string().max(65536).optional().describe("Base64-encoded PNG of annotated canvas (capped at 65,536 chars \u2014 matches WS frame cap)"),pins:O.array(ofe).optional(),comments:O.array(gut).optional()}).describe("Annotations attached to a review decision"),m1n=O.object({x:O.number().describe("Pin x-coordinate (0..1 relative to image width)"),y:O.number().describe("Pin y-coordinate (0..1 relative to image height)"),text:O.string().max(1e3).describe("Pin comment body (capped at 1,000 chars)"),image_index:O.number().int().nonnegative().describe("Index into the question's image_urls[] \u2014 which reference image this pin sits on")}).describe("Per-image pin annotation on a question session"),g1n=O.object({comment:O.string().max(1e4).describe("Reviewer's note on this annotation pass"),screenshot_data_url:O.string().max(15e5).describe("`data:image/png;base64,...` URL of the captured surface + composited strokes (1.5 MB cap)"),image_index:O.number().int().nonnegative().describe("Index into the question's image_urls[] this annotation was captured on")}).describe("One reviewer annotation pass over a question reference image"),OK=O.object({comments:O.array(gut).optional(),pins:O.array(m1n).optional(),screenshots:O.array(g1n).max(20).optional()}).describe("Annotations attached to a question answer"),NYr=O.enum(["review","question","design_direction"]).describe("Session type discriminator"),bD=O.enum(["pending","decided","answered","approved","changes_requested"]).describe("Runtime status across review | question | design_direction sessions."),y1n=O.object({code:O.string(),message:O.string(),path:O.array(O.union([O.string(),O.number()]))}).passthrough().describe("Structural ZodIssue on the wire \u2014 we expose code/message/path at minimum; extra keys are preserved via passthrough."),CYr=O.object({error:O.literal("validation_failed"),issues:O.array(y1n)}).describe("Uniform 400 response for request-body validation failure (malformed JSON, schema mismatch, oversize)"),ED=1048576,PK=131072,_D=8388608,afe=33554432});var S1n,b1n,E1n,_1n,T1n,v1n,R1n,cfe,A1n,ufe=v(()=>{"use strict";_l();fg();S1n=O.object({comment:O.string().max(1e4).describe("Reviewer's note on this annotation pass"),screenshot_data_url:O.string().max(15e5).describe("`data:image/png;base64,...` URL of the captured surface + composited strokes (1.5 MB cap)")}).describe("One reviewer annotation pass over the chosen preview"),b1n=O.object({pins:O.array(ofe).optional(),screenshots:O.array(S1n).max(20).optional()}).describe("Annotations attached to a design-direction selection"),E1n=O.object({mode:O.literal("select"),archetype:O.string().max(64).describe("Archetype name selected by the user from the design-direction set"),comments:O.string().max(1e4).optional().describe("Optional free-text comments accompanying the selection"),annotations:b1n.optional()}).describe("Final selection \u2014 user picked one archetype"),_1n=O.object({mode:O.literal("regenerate"),keep:O.array(O.string().max(64)).max(50).describe("Archetype names the user wants preserved; the agent should produce fresh variants for the remaining slots"),comments:O.string().max(1e4).optional().describe("Optional steering notes for the next generation \u2014 what to change, what to lean into")}).describe("Regenerate request \u2014 user wants more / different variants"),T1n=O.object({filename:O.string().min(1).max(255).describe("Original filename (sanitised by the server)"),data_url:O.string().max(15e5).describe("`data:image/...;base64,...` URL of the uploaded file (1.5 MB cap per file, matches screenshot annotations)"),caption:O.string().max(1e4).optional().describe("Optional caption describing what this artefact represents")}).describe("One uploaded design file in an upload-mode submission"),v1n=O.object({mode:O.literal("upload"),files:O.array(T1n).min(1).max(20).describe("Designer-provided files to use directly as the chosen direction (no archetype generation)"),comments:O.string().max(1e4).optional().describe("Optional overall notes about the uploaded direction \u2014 what the designer wants the agent to honour")}).describe("Upload submission \u2014 designer provided finished designs; skip archetype generation"),R1n=O.object({mode:O.literal("generate"),comments:O.string().max(1e4).optional().describe("Optional steering notes for the agent's first archetype generation")}).describe("Intake signal \u2014 user has no uploads and wants the agent to generate variants"),cfe=O.discriminatedUnion("mode",[E1n,_1n,v1n,R1n]).describe("POST /direction/:sessionId/select request body"),A1n=O.object({ok:O.literal(!0)}).describe("POST /direction/:sessionId/select response body")});var yut,w1n,k1n,I1n,x1n,lfe,O1n,dfe,P1n,N1n,ffe,C1n,pfe=v(()=>{"use strict";_l();fg();yut=O.object({selected_text:O.string().min(1).max(1e3),paragraph:O.number().int().nonnegative().max(1e4),location:O.string().max(500),comment_id:O.string().max(200).optional(),file_path:O.string().max(1e3).optional(),content_sha:O.string().max(64).optional()}).describe("Inline text-anchor metadata for inline-comment feedback"),w1n=O.object({feedback_id:O.string().max(32).describe("FB-NN identifier (scoped per stage)"),title:O.string().max(200),body:O.string().max(1e4),status:SD,origin:sfe,severity:put.nullable().optional().describe("Finding urgency. null/absent for user-authored FBs not yet classified by the classifier fix-hat, and for pre-severity legacy FBs."),author:O.string().max(200).describe("Free-form author handle (e.g. 'user', 'agent')"),author_type:mut,created_at:O.string().max(40).describe("ISO-8601 creation timestamp"),visit:O.number().int().nonnegative().describe("Stage-visit counter at creation time"),source_ref:O.string().max(1e3).nullable().describe("Back-reference to origin artifact (e.g. review-agent run id)"),closed_by:O.string().max(200).nullable().describe("Unit slug whose feedback-assessor hat certified closure, or null while open."),resolution:xK.nullable().optional().describe("Routing hint for the feedback resolver. null/unset = router defaults to stage_revisit."),replies:O.array(hut).optional().describe("Thread of replies on this feedback item. Empty / missing = no replies yet."),inline_anchor:yut.nullable().optional().describe("Inline-text anchor metadata. Present when the feedback was created by selecting text in a rendered artifact and attaching a comment. Null / absent for visual-pin or plain chat feedback."),scope:O.enum(["intent","stage"]).optional().describe("Whether this feedback lives under .haiku/intents/<slug>/feedback/ (intent scope, logged by the studio-level completion review) or .haiku/intents/<slug>/stages/<stage>/feedback/ (stage scope, the normal adversarial review output). UI shows intent-scope items with a distinguishing chip so cross-stage findings don't get hidden behind a stage tab."),iterations:O.array(O.object({bolt:O.number().int().nonnegative(),hat:O.string().max(200),started_at:O.string().max(40).optional(),completed_at:O.string().max(40).optional(),result:O.enum(["advanced","closed","reopened","rejected"]).optional(),commit:O.string().max(64).optional(),message:O.string().max(4e3).optional(),reason:O.string().max(1e3).optional()})).optional().describe("Per-bolt history of the fix loop \u2014 one entry per hat that fires against this finding. Mirrors the `iterations:` frontmatter on unit files so reviewers can see at a glance why a finding needed multiple tries."),closure_reply:O.object({text:O.string().max(2e3),at:O.string().max(40)}).optional().describe("Agent's plain-language reply to the requester at FB closure time. Set on the terminal fix-hat advance."),closure_reply_unread:O.boolean().optional().describe("True when the reply hasn't been acknowledged in the SPA yet. Flipped to false by the dismiss action.")}).describe("Wire shape of a feedback item"),k1n=O.object({intent:O.string(),stage:O.string(),count:O.number().int().nonnegative(),items:O.array(w1n)}).describe("GET /api/feedback/:intent/:stage response body"),I1n=O.object({pageId:O.string().min(1).max(200),x:O.number().min(0).max(1),y:O.number().min(0).max(1),viewportWidth:O.number().int().positive().max(1e4),viewportHeight:O.number().int().positive().max(1e4)}).describe("Pin anchor metadata for visual annotations"),x1n=6e6,lfe=O.object({title:O.string().min(1).max(200),body:O.string().min(1).max(1e4),origin:sfe.optional().default("user-visual"),author:O.string().max(200).optional().describe("Ignored by the server \u2014 retained for backward compatibility only. The HTTP feedback-create handler always stamps `user` as the author for HTTP-sourced submissions (see packages/haiku/src/http.ts:1526). Do NOT rely on this field to convey identity: there is no session-context author resolution today, so honoring client-supplied values would let any HTTP caller forge authorship. Treat any value submitted here as untrusted data that crosses into the server trust boundary and is discarded."),source_ref:O.string().max(1e3).nullable().optional(),anchor:I1n.optional(),inline_anchor:yut.optional(),resolution:xK.optional().describe("Author's preferred resolution path. Router defaults to stage_revisit when omitted."),attachment_data_url:O.string().max(x1n).regex(/^data:image\/(png|jpeg|webp);base64,[A-Za-z0-9+/=]+$/,{message:"attachment_data_url must be a base64-encoded data URL for png/jpeg/webp (svg rejected \u2014 stored-XSS risk)"}).optional()}).describe("POST /api/feedback/:intent/:stage request body"),O1n=O.object({feedback_id:O.string(),file:O.string().describe("Path to the committed feedback file (relative to .haiku root)"),status:O.literal("pending"),message:O.string()}).describe("POST /api/feedback/:intent/:stage response body"),dfe=O.object({status:SD.optional(),closed_by:O.string().max(200).optional(),resolution:xK.nullable().optional()}).refine(e=>e.status!==void 0||e.closed_by!==void 0||e.resolution!==void 0,{message:"At least one of 'status' / 'closed_by' / 'resolution' must be provided"}).describe("PUT /api/feedback/:intent/:stage/:id request body"),P1n=O.object({feedback_id:O.string(),updated_fields:O.array(O.string()).describe("List of frontmatter fields that were actually changed"),message:O.string()}).describe("PUT /api/feedback/:intent/:stage/:id response body"),N1n=O.object({feedback_id:O.string(),deleted:O.literal(!0),message:O.string()}).describe("DELETE /api/feedback/:intent/:stage/:id response body"),ffe=O.object({body:O.string().min(1).max(5e3),author:O.string().max(200).optional().describe("Optional author hint. When omitted the server stamps 'user' or the agent name from session context."),close_as_answered:O.boolean().optional()}).describe("POST /api/feedback/:intent/:stage/:id/replies request body"),C1n=O.object({feedback_id:O.string(),reply_index:O.number().int().nonnegative().describe("Zero-based index of the new reply inside replies[]."),status:SD,message:O.string()}).describe("POST /api/feedback/:intent/:stage/:id/replies response body")});var hfe,mfe,M1n,NK=v(()=>{"use strict";_l();fg();hfe=O.object({question:O.string().max(1e3).describe("Question prompt text (echoed back)"),selectedOptions:O.array(O.string().max(200)).max(50).describe("Options the user selected (may contain one or many)"),otherText:O.string().max(2e3).optional().describe("Free-text 'other' input, when the question allows it")}).describe("A single question's answer in a multi-question session"),mfe=O.object({answers:O.array(hfe).max(50),feedback:O.string().max(1e4).optional(),annotations:OK.optional()}).describe("POST /question/:sessionId/answer request body"),M1n=O.object({ok:O.literal(!0)}).describe("POST /question/:sessionId/answer response body")});var D1n,gfe,L1n,yfe=v(()=>{"use strict";_l();fg();D1n=O.enum(["approved","changes_requested"]).describe("Canonical review decision. Anything != approved is coerced to changes_requested server-side."),gfe=O.object({decision:O.string().describe("Raw decision string \u2014 server canonicalizes to 'approved' or 'changes_requested'."),feedback:O.string().optional().describe("Reviewer-provided free-text feedback"),annotations:cI.optional()}).describe("POST /review/:sessionId/decide request body"),L1n=O.object({ok:O.literal(!0),decision:D1n,feedback:O.string()}).describe("POST /review/:sessionId/decide response body")});var TD,JYr,U1n,F1n,j1n,Sfe,H1n,q1n,B1n,Sut,z1n,G1n,V1n,W1n,K1n,Y1n,Z1n,J1n,X1n,Q1n,$1n,eUn,tUn,nUn,rUn,iUn,sUn,oUn,aUn,cUn,uUn,lUn,XYr,dUn,bfe=v(()=>{"use strict";_l();fg();TD=O.record(O.unknown()).describe("Opaque parsed artifact (ParsedIntent / ParsedUnit / CriterionItem / etc.)"),JYr=O.enum(["auto","ask","external","await"]).describe("Review-gate type declared in STAGE.md"),U1n=O.object({stage:O.string(),mergedIntoMain:O.boolean(),status:O.string().optional().describe("Deprecated v3 shim \u2014 derived"),phase:O.string().optional().describe("Deprecated v3 shim \u2014 derived"),started_at:O.string().optional(),completed_at:O.string().nullable().optional(),gate_entered_at:O.string().nullable().optional(),gate_outcome:O.string().nullable().optional()}).describe("Per-stage status snapshot. v4: only `stage` and `mergedIntoMain` are authoritative; other fields are deprecated v3 shims pending SPA rewrite."),F1n=O.object({name:O.string(),content:O.string()}),j1n=O.object({stage:O.string(),name:O.string(),content:O.string()}),Sfe=O.object({stage:O.string(),name:O.string(),type:O.enum(["markdown","html","image","video","code","file"]),language:O.string().optional(),directory:O.string().optional(),content:O.string().optional(),relativePath:O.string().optional(),intentRelativePath:O.string().optional()}),H1n=O.object({path:O.string(),name:O.string(),type:O.enum(["markdown","html","image","file"]),url:O.string(),previewBody:O.string().optional(),sizeBytes:O.number().int().nonnegative().optional(),exists:O.boolean()}),q1n=O.object({path:O.string(),stage:O.string(),intent:O.string(),action:O.enum(["modified","added","deleted"]),age:O.string(),kind:O.enum(["spec","output","discovery_output","discovery_mandate"]).optional(),unit:O.string().optional(),role:O.string().optional()}).describe("One drift-sweep entry: a witnessed unit/output/discovery artifact whose on-disk content no longer matches the stored hash. Surfaced in the SPA's DriftBanner."),B1n=O.object({feedback:O.string(),reviewedAt:O.string(),intentRawContent:O.string(),unitRawContents:O.record(O.string())}).describe("Snapshot of the prior review attached when the current review follows a changes_requested decision."),Sut=O.object({key:O.string(),label:O.string(),status:O.enum(["done","active","pending"])}).describe("One milestone in the granular per-stage progress track"),z1n=O.object({studio:O.string(),stage:O.string(),phase:O.enum(["elaborate","execute","review","approve","complete","gate",""]),step:O.string().optional(),nextState:O.object({stage:O.string().optional(),phase:O.enum(["elaborate","execute","review","approve","complete","gate"]).optional(),step:O.string().optional(),blockedOn:O.enum(["user-gate","external-review","feedback-fix"]).nullable().optional()}).nullable().optional(),pending_signals:O.array(O.string()).optional(),milestones:O.array(Sut).optional(),progress_index:O.number().int().nonnegative().optional(),progress_total:O.number().int().nonnegative().optional(),seal_status:O.enum(["sealed","pending_seal"]).optional(),awaiting_merge_into:O.string().optional()}).describe("Unified current-state snapshot \u2014 derived fresh per request from per-unit frontmatter and branch-merge state. The single source of truth for 'where is this intent right now?'."),G1n=O.enum(["ad_hoc_done","open_pr","submit_external","start_intent","start_execution","complete_stage","submit_intent_review","complete_intent","approve"]),V1n=O.object({label:O.string(),kind:G1n}).describe("Server-computed Approve button label + kind. The SPA renders `label` verbatim so the button reflects the next consequence (e.g. 'Complete Development Stage', 'Open Development Pull Request', 'Mark Intent Done')."),W1n=O.object({url:O.string(),source:O.enum(["github-pr-ref","gitlab-mr-ref"]),prNumber:O.number().int().positive(),matchedSha:O.string()}).describe("PR/MR auto-discovered via raw git from a published head ref"),K1n=O.object({session_id:O.string(),session_type:O.literal("review"),status:bD,intent_slug:O.string().optional(),intent_dir:O.string().optional(),gate_type:O.string().optional(),target:O.string().optional(),decision:O.string().optional(),feedback:O.string().optional(),annotations:cI.optional(),intent:TD.optional(),units:O.array(TD).optional(),criteria:O.array(TD).optional(),mermaid:O.string().optional(),intent_mockups:O.array(TD).optional(),unit_mockups:O.record(O.array(TD)).optional(),stage_states:O.record(U1n).optional(),stage_summaries:O.record(O.string()).optional(),stage_briefs:O.record(O.string()).optional(),stage_observations:O.record(O.string()).optional(),stage_elaborations:O.record(O.string()).optional(),reflection:O.string().optional(),stage_milestones:O.record(O.array(Sut)).optional(),current_state:z1n.optional(),knowledge_files:O.array(F1n).optional(),stage_artifacts:O.array(j1n).optional(),output_artifacts:O.array(Sfe).optional(),other_files:O.array(Sfe).optional(),intent_other_files:O.array(Sfe).optional(),unit_outputs:O.record(O.array(H1n)).optional(),output_declared_by:O.record(O.array(O.string())).optional(),previous_review:B1n.optional(),drift:O.array(q1n).optional(),discovered_review_url:W1n.nullable().optional(),ad_hoc:O.boolean().optional(),stage:O.string().optional(),gate_context:O.string().optional(),next_stage:O.string().nullable().optional(),next_phase:O.string().nullable().optional(),approve_action:V1n.optional(),await_active:O.boolean().optional(),await_count:O.number().int().nonnegative().optional(),pending_decision:O.object({decision:O.string(),feedback:O.string(),submitted_at:O.string()}).optional(),last_await_started_at:O.string().optional(),last_await_ended_at:O.string().optional()}).describe("Review session payload (GET /api/session/:id, session_type=review)"),Y1n=O.object({question:O.string(),header:O.string().optional(),options:O.array(O.string()),multiSelect:O.boolean().optional()}).describe("A single question in a multi-question session"),Z1n=O.object({question:O.string(),selectedOptions:O.array(O.string()),otherText:O.string().optional()}),J1n=O.object({session_id:O.string(),session_type:O.literal("question"),status:bD,title:O.string().optional(),context:O.string().optional(),questions:O.array(Y1n).optional(),answers:O.array(Z1n).optional(),image_urls:O.array(O.string()).optional()}).describe("Question session payload (GET /api/session/:id, session_type=question)"),X1n=O.object({name:O.string(),description:O.string(),preview_html:O.string()}),Q1n=O.object({archetype:O.string(),comments:O.string().optional(),annotations:O.object({pins:O.array(O.object({x:O.number(),y:O.number(),text:O.string()})).optional(),screenshots:O.array(O.object({comment:O.string(),screenshot_data_url:O.string()})).optional()}).optional()}).describe("Saved direction selection (nullable on the session)"),$1n=O.object({session_id:O.string(),session_type:O.literal("design_direction"),status:bD,title:O.string().optional(),intent_slug:O.string().optional(),context:O.string().optional(),archetypes:O.array(X1n).optional(),selection:Q1n.nullable().optional()}).describe("Design-direction session payload (GET /api/session/:id, session_type=design_direction)"),eUn=O.enum(["studio","mode","stage","confirm","url_input"]),tUn=O.object({id:O.string(),label:O.string(),description:O.string().optional(),secondary:O.boolean().optional()}).describe("One option in a picker session \u2014 id is the canonical value the wire echoes back, label/description are display-only. `secondary` options are hidden behind a 'Show all\u2026' expansion (studio picker shortlist)."),nUn=O.object({id:O.string()}).describe("Saved picker selection (nullable on the session)"),rUn=O.object({session_id:O.string(),session_type:O.literal("picker"),status:bD,intent_slug:O.string().optional(),kind:eUn,title:O.string(),prompt:O.string(),options:O.array(tUn),selection:nUn.nullable().optional()}).describe("Picker session payload (GET /api/session/:id, session_type=picker) \u2014 engine-side blocking selection for studio/mode/stage and destructive-confirm"),iUn=O.object({id:O.string().min(1).max(256)}).describe("POST /picker/:sessionId/select request body \u2014 id must match one of the session's options"),sUn=O.object({ok:O.literal(!0),id:O.string()}).describe("Success response from POST /picker/:sessionId/select"),oUn=O.object({session_id:O.string(),session_type:O.literal("view"),status:O.enum(["open","closed"]),intent_slug:O.string(),studio:O.string().optional(),stage:O.string().optional(),artifact:O.string().optional(),mode:O.enum(["viewer","boot"]),boot_port:O.number().int().positive().optional(),boot_command:O.string().optional()}).describe("View session payload (GET /api/session/:id, session_type=view). 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it should be "scalar", not "'+e.kind+'"'),d=0,f=e.implicitTypes.length;d<f;d+=1)if(p=e.implicitTypes[d],p.resolve(e.result)){e.result=p.construct(e.result),e.tag=p.tag,e.anchor!==null&&(e.anchorMap[e.anchor]=e.result);break}}else cE.call(e.typeMap[e.kind||"fallback"],e.tag)?(p=e.typeMap[e.kind||"fallback"][e.tag],e.result!==null&&p.kind!==e.kind&&Dt(e,"unacceptable node kind for !<"+e.tag+'> tag; it should be "'+p.kind+'", not "'+e.kind+'"'),p.resolve(e.result)?(e.result=p.construct(e.result),e.anchor!==null&&(e.anchorMap[e.anchor]=e.result)):Dt(e,"cannot resolve a node with !<"+e.tag+"> explicit tag")):Dt(e,"unknown tag !<"+e.tag+">");return e.listener!==null&&e.listener("close",e),e.tag!==null||e.anchor!==null||l}function kjn(e){var t=e.position,n,r,i,s=!1,o;for(e.version=null,e.checkLineBreaks=e.legacy,e.tagMap={},e.anchorMap={};(o=e.input.charCodeAt(e.position))!==0&&(to(e,!0,-1),o=e.input.charCodeAt(e.position),!(e.lineIndent>0||o!==37));){for(s=!0,o=e.input.charCodeAt(++e.position),n=e.position;o!==0&&!Iu(o);)o=e.input.charCodeAt(++e.position);for(r=e.input.slice(n,e.position),i=[],r.length<1&&Dt(e,"directive name must not be less than one character in length");o!==0;){for(;wT(o);)o=e.input.charCodeAt(++e.position);if(o===35){do o=e.input.charCodeAt(++e.position);while(o!==0&&!Oh(o));break}if(Oh(o))break;for(n=e.position;o!==0&&!Iu(o);)o=e.input.charCodeAt(++e.position);i.push(e.input.slice(n,e.position))}o!==0&&mfe(e),cE.call(wlt,r)?wlt[r](e,r,i):R3(e,'unknown document directive "'+r+'"')}if(to(e,!0,-1),e.lineIndent===0&&e.input.charCodeAt(e.position)===45&&e.input.charCodeAt(e.position+1)===45&&e.input.charCodeAt(e.position+2)===45?(e.position+=3,to(e,!0,-1)):s&&Dt(e,"directives end mark is expected"),pI(e,e.lineIndent-1,A3,!1,!0),to(e,!0,-1),e.checkLineBreaks&&djn.test(e.input.slice(t,e.position))&&R3(e,"non-ASCII line breaks are interpreted as content"),e.documents.push(e.result),e.position===e.lineStart&&w3(e)){e.input.charCodeAt(e.position)===46&&(e.position+=3,to(e,!0,-1));return}if(e.position<e.length-1)Dt(e,"end of the stream or a document separator is expected");else return}function jlt(e,t){e=String(e),t=t||{},e.length!==0&&(e.charCodeAt(e.length-1)!==10&&e.charCodeAt(e.length-1)!==13&&(e+=`
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+`+jut.repeat(" ",t+this.position-i+r.length)+"^"};Tfe.prototype.toString=function(t){var n,r="";return this.name&&(r+='in "'+this.name+'" '),r+="at line "+(this.line+1)+", column "+(this.column+1),t||(n=this.getSnippet(),n&&(r+=`:
+`+n)),r};Hut.exports=Tfe});var To=w((KZr,zut)=>{"use strict";var But=lI(),nFn=["kind","resolve","construct","instanceOf","predicate","represent","defaultStyle","styleAliases"],rFn=["scalar","sequence","mapping"];function iFn(e){var t={};return e!==null&&Object.keys(e).forEach(function(n){e[n].forEach(function(r){t[String(r)]=n})}),t}function sFn(e,t){if(t=t||{},Object.keys(t).forEach(function(n){if(nFn.indexOf(n)===-1)throw new But('Unknown option "'+n+'" is met in definition of "'+e+'" YAML type.')}),this.tag=e,this.kind=t.kind||null,this.resolve=t.resolve||function(){return!0},this.construct=t.construct||function(n){return n},this.instanceOf=t.instanceOf||null,this.predicate=t.predicate||null,this.represent=t.represent||null,this.defaultStyle=t.defaultStyle||null,this.styleAliases=iFn(t.styleAliases||null),rFn.indexOf(this.kind)===-1)throw new But('Unknown kind "'+this.kind+'" is specified for "'+e+'" YAML type.')}zut.exports=sFn});var AT=w((YZr,Vut)=>{"use strict";var Gut=RT(),CK=lI(),oFn=To();function vfe(e,t,n){var r=[];return e.include.forEach(function(i){n=vfe(i,t,n)}),e[t].forEach(function(i){n.forEach(function(s,o){s.tag===i.tag&&s.kind===i.kind&&r.push(o)}),n.push(i)}),n.filter(function(i,s){return r.indexOf(s)===-1})}function aFn(){var e={scalar:{},sequence:{},mapping:{},fallback:{}},t,n;function r(i){e[i.kind][i.tag]=e.fallback[i.tag]=i}for(t=0,n=arguments.length;t<n;t+=1)arguments[t].forEach(r);return e}function dI(e){this.include=e.include||[],this.implicit=e.implicit||[],this.explicit=e.explicit||[],this.implicit.forEach(function(t){if(t.loadKind&&t.loadKind!=="scalar")throw new CK("There is a non-scalar type in the implicit list of a schema. Implicit resolving of such types is not supported.")}),this.compiledImplicit=vfe(this,"implicit",[]),this.compiledExplicit=vfe(this,"explicit",[]),this.compiledTypeMap=aFn(this.compiledImplicit,this.compiledExplicit)}dI.DEFAULT=null;dI.create=function(){var t,n;switch(arguments.length){case 1:t=dI.DEFAULT,n=arguments[0];break;case 2:t=arguments[0],n=arguments[1];break;default:throw new CK("Wrong number of arguments for Schema.create function")}if(t=Gut.toArray(t),n=Gut.toArray(n),!t.every(function(r){return r instanceof dI}))throw new CK("Specified list of super schemas (or a single Schema object) contains a non-Schema object.");if(!n.every(function(r){return r instanceof oFn}))throw new CK("Specified list of YAML types (or a single Type object) contains a non-Type object.");return new dI({include:t,explicit:n})};Vut.exports=dI});var Kut=w((ZZr,Wut)=>{"use strict";var cFn=To();Wut.exports=new cFn("tag:yaml.org,2002:str",{kind:"scalar",construct:function(e){return e!==null?e:""}})});var Zut=w((JZr,Yut)=>{"use strict";var uFn=To();Yut.exports=new uFn("tag:yaml.org,2002:seq",{kind:"sequence",construct:function(e){return e!==null?e:[]}})});var Xut=w((XZr,Jut)=>{"use strict";var lFn=To();Jut.exports=new lFn("tag:yaml.org,2002:map",{kind:"mapping",construct:function(e){return e!==null?e:{}}})});var MK=w((QZr,Qut)=>{"use strict";var dFn=AT();Qut.exports=new dFn({explicit:[Kut(),Zut(),Xut()]})});var elt=w(($Zr,$ut)=>{"use strict";var fFn=To();function pFn(e){if(e===null)return!0;var t=e.length;return t===1&&e==="~"||t===4&&(e==="null"||e==="Null"||e==="NULL")}function hFn(){return null}function mFn(e){return e===null}$ut.exports=new fFn("tag:yaml.org,2002:null",{kind:"scalar",resolve:pFn,construct:hFn,predicate:mFn,represent:{canonical:function(){return"~"},lowercase:function(){return"null"},uppercase:function(){return"NULL"},camelcase:function(){return"Null"}},defaultStyle:"lowercase"})});var nlt=w((e6r,tlt)=>{"use strict";var gFn=To();function yFn(e){if(e===null)return!1;var t=e.length;return t===4&&(e==="true"||e==="True"||e==="TRUE")||t===5&&(e==="false"||e==="False"||e==="FALSE")}function SFn(e){return e==="true"||e==="True"||e==="TRUE"}function bFn(e){return Object.prototype.toString.call(e)==="[object Boolean]"}tlt.exports=new gFn("tag:yaml.org,2002:bool",{kind:"scalar",resolve:yFn,construct:SFn,predicate:bFn,represent:{lowercase:function(e){return e?"true":"false"},uppercase:function(e){return e?"TRUE":"FALSE"},camelcase:function(e){return e?"True":"False"}},defaultStyle:"lowercase"})});var ilt=w((t6r,rlt)=>{"use strict";var EFn=RT(),_Fn=To();function TFn(e){return 48<=e&&e<=57||65<=e&&e<=70||97<=e&&e<=102}function vFn(e){return 48<=e&&e<=55}function RFn(e){return 48<=e&&e<=57}function AFn(e){if(e===null)return!1;var t=e.length,n=0,r=!1,i;if(!t)return!1;if(i=e[n],(i==="-"||i==="+")&&(i=e[++n]),i==="0"){if(n+1===t)return!0;if(i=e[++n],i==="b"){for(n++;n<t;n++)if(i=e[n],i!=="_"){if(i!=="0"&&i!=="1")return!1;r=!0}return r&&i!=="_"}if(i==="x"){for(n++;n<t;n++)if(i=e[n],i!=="_"){if(!TFn(e.charCodeAt(n)))return!1;r=!0}return r&&i!=="_"}for(;n<t;n++)if(i=e[n],i!=="_"){if(!vFn(e.charCodeAt(n)))return!1;r=!0}return r&&i!=="_"}if(i==="_")return!1;for(;n<t;n++)if(i=e[n],i!=="_"){if(i===":")break;if(!RFn(e.charCodeAt(n)))return!1;r=!0}return!r||i==="_"?!1:i!==":"?!0:/^(:[0-5]?[0-9])+$/.test(e.slice(n))}function wFn(e){var t=e,n=1,r,i,s=[];return t.indexOf("_")!==-1&&(t=t.replace(/_/g,"")),r=t[0],(r==="-"||r==="+")&&(r==="-"&&(n=-1),t=t.slice(1),r=t[0]),t==="0"?0:r==="0"?t[1]==="b"?n*parseInt(t.slice(2),2):t[1]==="x"?n*parseInt(t,16):n*parseInt(t,8):t.indexOf(":")!==-1?(t.split(":").forEach(function(o){s.unshift(parseInt(o,10))}),t=0,i=1,s.forEach(function(o){t+=o*i,i*=60}),n*t):n*parseInt(t,10)}function kFn(e){return Object.prototype.toString.call(e)==="[object Number]"&&e%1===0&&!EFn.isNegativeZero(e)}rlt.exports=new _Fn("tag:yaml.org,2002:int",{kind:"scalar",resolve:AFn,construct:wFn,predicate:kFn,represent:{binary:function(e){return e>=0?"0b"+e.toString(2):"-0b"+e.toString(2).slice(1)},octal:function(e){return e>=0?"0"+e.toString(8):"-0"+e.toString(8).slice(1)},decimal:function(e){return e.toString(10)},hexadecimal:function(e){return e>=0?"0x"+e.toString(16).toUpperCase():"-0x"+e.toString(16).toUpperCase().slice(1)}},defaultStyle:"decimal",styleAliases:{binary:[2,"bin"],octal:[8,"oct"],decimal:[10,"dec"],hexadecimal:[16,"hex"]}})});var alt=w((n6r,olt)=>{"use strict";var slt=RT(),IFn=To(),xFn=new RegExp("^(?:[-+]?(?:0|[1-9][0-9_]*)(?:\\.[0-9_]*)?(?:[eE][-+]?[0-9]+)?|\\.[0-9_]+(?:[eE][-+]?[0-9]+)?|[-+]?[0-9][0-9_]*(?::[0-5]?[0-9])+\\.[0-9_]*|[-+]?\\.(?:inf|Inf|INF)|\\.(?:nan|NaN|NAN))$");function OFn(e){return!(e===null||!xFn.test(e)||e[e.length-1]==="_")}function PFn(e){var t,n,r,i;return 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+`)}var ozn,azn,czn,uzn,lzn,dzn,fzn,pzn,jpe,Wft,Bft,yzn,zft,Uh=v(()=>{"use strict";gt();bb();Ge();vl();ht();T3();ozn=new _e({autoEscape:!1,useWith:!0});azn=DT("announcement.md"),czn=DT("subagent-error-recovery.md"),uzn=DT("workflow-contracts-elaborate.md"),lzn=DT("workflow-contracts-execute.md"),dzn=DT("workflow-contracts-fix-loop.md"),fzn=DT("runtime-verification.md"),pzn=DT("service-dependencies.md"),jpe=null;Wft={"workflow-contracts-elaborate":{content:()=>uzn(),title:"Universal workflow contracts (elaborate)",summary:"unit-file naming, the same-stage `depends_on:` DAG, executable `quality_gates:`, per-unit `model:` selection, revisit `closes:`, the elaborate-phase MCP tool surface, unit-content validation, and authoring discipline."},"workflow-contracts-execute":{content:()=>lzn(),title:"Universal workflow contracts (execute)",summary:"the per-hat advance/reject contract, bolt count limits, and the engine-owned fields (`bolt`, `hat`, `status`, `iterations`) hats must NOT mutate directly."},"workflow-contracts-review":{content:()=>hzn(),title:"Universal workflow contracts (review)",summary:"the review/approval role split, when to file feedback vs sign-off, and the iteration cap that drives gate-blocking escalation."},"workflow-contracts-fix-loop":{content:()=>dzn(),title:"Universal workflow contracts (fix-loop)",summary:"how fix hats edit feedback bodies (NOT unit specs), the per-finding bolt cap, the advance vs reject vs reject_hat distinction, and feedback-assessor's closure authority."},"workflow-contracts-announcement":{content:()=>azn(),title:"Subagent-announce discipline",summary:"how to announce a subagent dispatch in the same response as the spawn \u2014 one sentence on WHAT is starting and HOW MANY agents, no jargon."},"subagent-error-recovery":{content:()=>czn(),title:"Subagent error-recovery contract",summary:"how to handle subagent failures \u2014 rescue attempts before declaring blocked, the diagnostic that goes in the bolt summary, and the workflow tool surface for failure reporting."},"runtime-verification":{content:()=>fzn(),title:"Runtime-verification doctrine",summary:"that verification is runtime observation (NOT running tests/typecheck); how to find the change's surface and route to a handle (web/GUI \u2192 `haiku_view` boot + `haiku-playwright`; CLI \u2192 run the command; server \u2192 the socket; library \u2192 the public export); the `.haiku/boot.md` project boot recipe; how to drive the smallest path, probe around the change, capture evidence under `proof/`; and the PASS/FAIL/BLOCKED/SKIP verdict that drives sign-off vs. feedback."},"service-dependencies":{content:()=>pzn(),title:"Service-dependency doctrine",summary:"when a quality gate needs a live dependency (DB, queue, cache): best-effort boot the project's declared services (`.haiku/boot.md` `service:` processes / compose / make) when the tool is live, else escalate to the user \u2014 NEVER advance or mark a gate passed on an unreachable environment, because a gate that didn't run verified nothing."}},Bft="";yzn=()=>tL(Hpe(),"providers"),zft=new Set});import{existsSync as nL,readdirSync as bzn,readFileSync as v3}from"node:fs";import{join as Ezn}from"node:path";function PI(e){if(!(!e||!nL(e)))try{let{data:t}=re(v3(e,"utf8")),n=t.interpretation;return n==="lens"||n==="strict"?n:void 0}catch{return}}function NI(e){return e?e==="lens"?["## Mandate interpretation: LENS","","Your mandate above is a **lens**, not a checklist.","","- **In-spirit findings count.** A finding obviously within your mandate's lens but not listed as an explicit checklist item is IN scope. The mandate names representative concerns, not the exhaustive set.","- **Out-of-mandate findings are NOT in scope, even if visible.** If your glob matched a file but the change has nothing to do with your lens, return zero findings. Inventing findings to justify dispatch is a scope violation, not thoroughness.","- **Letter and spirit are not separable.** A change that technically passes a literal check but obviously violates what the check exists to enforce IS a finding. State the spirit-violation explicitly in the body so the fix loop knows what to address."].join(`
 `):["## Mandate interpretation: STRICT","","Your mandate above is a **literal checklist**.","",'- Findings MUST be tied to a specific named item in your mandate. Do NOT extend to "in-spirit" issues \u2014 for this review, false positives carry the same weight as false negatives.',"- If you see something concerning outside the checklist, do NOT log it through this agent. Log it through a different review agent if one exists, or surface it as an out-of-scope observation in your summary.","- Cite the specific checklist item each finding maps to in the `body:` field so the fix loop can verify scope."].join(`
-`):""}function Npe(e){if(e.length===0)return"";let t=[];for(let{heading:n,path:r}of e){if(!n||!r)continue;let i=Tl(r,n);i&&t.push(i)}return t.join(`
-`)}function Tl(e,t){if(!KD(e))return"";let n=u4(e,"utf8"),r;try{r=(0,Lft.default)(n).content.trim()}catch{r=n}return r?`### ${t}
+`):""}function qpe(e){if(e.length===0)return"";let t=[];for(let{heading:n,path:r}of e){if(!n||!r)continue;let i=Rl(r,n);i&&t.push(i)}return t.join(`
+`)}function Rl(e,t){if(!nL(e))return"";let n=v3(e,"utf8"),r;try{r=(0,Yft.default)(n).content.trim()}catch{r=n}return r?`### ${t}
 
 *Source: \`${e}\`*
 
 ~~~~
 ${r}
 ~~~~
-`:""}function kr(e){let{resolveBody:t,toolName:n,toolArgs:r,intent:i,stage:s,kind:o,name:a}=e,c=t();if(c?.trim())return`**Read** \`${yE({intent:i,stage:s,kind:o,name:a,body:c.trim()})}\``;let u=Object.entries(r).map(([l,d])=>`${l}: ${JSON.stringify(d)}`).join(", ");return`**Call** \`${n} { ${u} }\``}function Fft(e,t){if(!KD(e))return"";let n=[];try{let{data:p}=re(u4(e,"utf8"));Array.isArray(p.iterations)&&(n=p.iterations)}catch{return""}let r=[];for(let p=n.length-1;p>=0;p--){let h=n[p];if(!h||!h.completed_at)continue;let m=typeof h.message=="string"&&h.message.trim()?h.message.trim():typeof h.reason=="string"&&h.reason.trim()?h.reason.trim():"";m&&r.push({hatName:typeof h.hat=="string"?h.hat:"previous hat",boltStr:t.fixLoop&&typeof h.bolt=="number"?` (bolt ${h.bolt})`:"",isReject:typeof h.result=="string"&&t.rejectResults.has(h.result),text:m})}if(r.length===0)return"";let i=r[0],s=i.isReject?["## Prior rejection \u2014 address this before advancing","",`The previous ${t.fixLoop?"fix attempt":"bolt"}'s **${i.hatName}** hat${i.boltStr} rejected the work and handed back:`,"","~~~~",i.text,"~~~~","",`Treat each item as a hard requirement: your hat is NOT done until every issue above is resolved. Reference them in your work summary and commit message so the next reviewer can verify closure. Do NOT call \`${t.rejectAdvanceTool}\` while any remain open \u2014 call \`${t.rejectHatTool}\` with what's still outstanding.`].join(`
+`:""}function kr(e){let{resolveBody:t,toolName:n,toolArgs:r,intent:i,stage:s,kind:o,name:a}=e,c=t();if(c?.trim())return`**Read** \`${Eb({intent:i,stage:s,kind:o,name:a,body:c.trim()})}\``;let u=Object.entries(r).map(([l,d])=>`${l}: ${JSON.stringify(d)}`).join(", ");return`**Call** \`${n} { ${u} }\``}function Jft(e,t){if(!nL(e))return"";let n=[];try{let{data:p}=re(v3(e,"utf8"));Array.isArray(p.iterations)&&(n=p.iterations)}catch{return""}let r=[];for(let p=n.length-1;p>=0;p--){let h=n[p];if(!h||!h.completed_at)continue;let m=typeof h.message=="string"&&h.message.trim()?h.message.trim():typeof h.reason=="string"&&h.reason.trim()?h.reason.trim():"";m&&r.push({hatName:typeof h.hat=="string"?h.hat:"previous hat",boltStr:t.fixLoop&&typeof h.bolt=="number"?` (bolt ${h.bolt})`:"",isReject:typeof h.result=="string"&&t.rejectResults.has(h.result),text:m})}if(r.length===0)return"";let i=r[0],s=i.isReject?["## Prior rejection \u2014 address this before advancing","",`The previous ${t.fixLoop?"fix attempt":"bolt"}'s **${i.hatName}** hat${i.boltStr} rejected the work and handed back:`,"","~~~~",i.text,"~~~~","",`Treat each item as a hard requirement: your hat is NOT done until every issue above is resolved. Reference them in your work summary and commit message so the next reviewer can verify closure. Do NOT call \`${t.rejectAdvanceTool}\` while any remain open \u2014 call \`${t.rejectHatTool}\` with what's still outstanding.`].join(`
 `):[`## Handoff from \`${i.hatName}\`${i.boltStr}`,"","The prior hat completed and passed you this baton:","","~~~~",i.text,"~~~~","","Pick up where it left off \u2014 honor its decisions, resolve any open questions it flagged, and don't redo work it already landed."].join(`
 `),o=8,a=240,c=r.slice(1,1+o);if(c.length===0)return s;let u=c.map(p=>{let h=p.text.replace(/```[\s\S]*?```/g," ").replace(/\s+/g," ").trim(),m=h.length>a?`${h.slice(0,a)}\u2026`:h;return`- **${p.hatName}**${p.boltStr} ${p.isReject?"rejected":"handed off"}: ${m}`}),l=r.length-1-c.length,d=l>0?[`_(+${l} earlier)_`]:[],f=["### Earlier in this chain \u2014 context only, do NOT act on this","","Background from prior hats on this work item, newest first. This is reference, not your task: act on the block above, stay in your hat's lane, and do not jump ahead, re-open settled decisions, or do another hat's job.","",...u,...d].join(`
 `);return`${s}
 
-${f}`}function l4(e){return Fft(e,{rejectResults:new Set(["reject"]),rejectAdvanceTool:"haiku_unit_advance_hat",rejectHatTool:"haiku_unit_reject_hat",fixLoop:!1})}function NI(e){return Fft(e,{rejectResults:new Set(["rejected"]),rejectAdvanceTool:"haiku_feedback_advance_hat",rejectHatTool:"haiku_feedback_reject_hat",fixLoop:!0})}function PI(e,t){let n=[];try{let c=t?Us(e,t):[],u=Us(e,""),l=new Set;for(let d of[...c,...u])l.has(d.file)||(l.add(d.file),n.push(d))}catch{return""}if(n.length===0)return"";let r=50,i=n.slice(0,r),s=(c,u)=>c.length>u?`${c.slice(0,u)}\u2026`:c,o=i.map(c=>{let u=c.file.includes("/stages/")?"stage":"intent",l=c.severity?`${c.severity} \xB7 `:"",d=(c.body||"").replace(/```[\s\S]*?```/g," ").replace(/\s+/g," ").trim(),f=s(d,140),p="",h=c.closure_reply?.text?.replace(/\s+/g," ").trim();if(h)p=` \xB7 resolved: ${s(h,160)}`;else if(c.status==="rejected"){let m=(c.body||"").match(/\*\*Rejection reason:\*\*\s*([\s\S]+)$/),y=m?m[1].replace(/\s+/g," ").trim():"";p=y?` \xB7 dismissed: ${s(y,160)}`:" \xB7 dismissed"}return`- \`${c.id}\` [${l}${c.status} \xB7 ${c.origin} \xB7 ${u}] ${c.title}${f?` \u2014 ${f}`:""}${p}`}),a=n.length>r?`
+${f}`}function R3(e){return Jft(e,{rejectResults:new Set(["reject"]),rejectAdvanceTool:"haiku_unit_advance_hat",rejectHatTool:"haiku_unit_reject_hat",fixLoop:!1})}function CI(e){return Jft(e,{rejectResults:new Set(["rejected"]),rejectAdvanceTool:"haiku_feedback_advance_hat",rejectHatTool:"haiku_feedback_reject_hat",fixLoop:!0})}function MI(e,t){let n=[];try{let c=t?Us(e,t):[],u=Us(e,""),l=new Set;for(let d of[...c,...u])l.has(d.file)||(l.add(d.file),n.push(d))}catch{return""}if(n.length===0)return"";let r=50,i=n.slice(0,r),s=(c,u)=>c.length>u?`${c.slice(0,u)}\u2026`:c,o=i.map(c=>{let u=c.file.includes("/stages/")?"stage":"intent",l=c.severity?`${c.severity} \xB7 `:"",d=(c.body||"").replace(/```[\s\S]*?```/g," ").replace(/\s+/g," ").trim(),f=s(d,140),p="",h=c.closure_reply?.text?.replace(/\s+/g," ").trim();if(h)p=` \xB7 resolved: ${s(h,160)}`;else if(c.status==="rejected"){let m=(c.body||"").match(/\*\*Rejection reason:\*\*\s*([\s\S]+)$/),g=m?m[1].replace(/\s+/g," ").trim():"";p=g?` \xB7 dismissed: ${s(g,160)}`:" \xB7 dismissed"}return`- \`${c.id}\` [${l}${c.status} \xB7 ${c.origin} \xB7 ${u}] ${c.title}${f?` \u2014 ${f}`:""}${p}`}),a=n.length>r?`
 _(+${n.length-r} more on record)_`:"";return["## Existing feedback on this scope \u2014 do NOT re-raise","","These findings are already on record \u2014 open, being fixed, addressed, answered, closed, or dismissed. Read them BEFORE you file anything. If your observation is already captured here, do NOT file a duplicate: the engine is already tracking it, or a human/agent already decided it. A `resolved:` note shows what the fix-hat actually did \u2014 verify THAT delta rather than re-deriving your critique from scratch; a `dismissed:` note shows why a prior reviewer threw the finding out \u2014 respect it unless you have new evidence. Reserve new findings for genuinely new problems this list doesn't cover. If you think an existing finding was resolved wrong, say so in your closing summary instead of re-filing it.","",...o,a].join(`
-`).trimEnd()}function CI(e){let t=iGn(pe(e),"stages");if(!KD(t))return"";let n=[];try{for(let r of rGn(t,{withFileTypes:!0}))if(r.isDirectory())for(let i of d4(e,r.name)){let s=String(i.decision??"").trim(),o=String(i.choice??"").trim();if(!s||!o)continue;let a=i.source==="user"?"user":"agent-acknowledged",c=typeof i.rationale=="string"&&i.rationale.trim()?` \u2014 ${i.rationale.trim()}`:"";n.push(`- **${s}** \u2192 chose \`${o}\` (${a})${c}`)}}catch{return""}return n.length===0?"":["## Decisions already made \u2014 do NOT re-litigate","","These are rulings the owner (or the agent, acknowledged) has already made on this intent \u2014 including how to resolve contradictions between upstream artifacts. A finding that re-opens one of these is churn: the call stands. If an upstream doc still contradicts the ruling, that's a known divergence flagged for reconciliation, NOT a fresh finding \u2014 do not re-file it. Only raise it if you have genuinely new information the decision didn't account for, and say so explicitly.","",...n].join(`
-`).trimEnd()}function Ti(e){let{unit:t,hat:n,bolt:r,intent:i,stage:s,agentType:o,model:a,promptBody:c,heading:u,toolAttr:l,forceForeground:d,omitBolt:f}=e,{path:p,parentInstruction:h}=bft({unit:t,hat:n,bolt:r,intent:i,stage:s,content:c,omitBolt:f});return Tft({path:p,parentInstruction:h,agentType:o,model:a,heading:u,toolAttr:l,background:d===!0?!1:Mi().subagents.backgroundSpawn})}function Du(e){if(!zo.modelSelection)return;let{mandatePath:t,studio:n,stage:r}=e;if(t){let s=Hdt(t);if(s)return s}if(r){let s=$i(n,r),o=yI(s?.data?.default_model);if(o)return o}let i=xd(n);return yI(i?.data?.default_model)}function jft(e,t,n,r,i){let s=Mi();return s.hooks?"":Uft.renderString(sGn,{slug:e,stage:t,hat:n,hatsStr:r.join(" \u2192 "),bolt:i,nativeAskUser:s.nativeAskUser})}function MI(e,t){if(!t)return"";let n=kft(e,t);return n.length===0?"":["## Active providers for this phase","","The following provider behavior contracts apply to this prompt. Read each one before drafting your response.","",n.map(i=>Dft({kind:i.kind,category:i.category,body:i.body})).join(`
+`).trimEnd()}function DI(e){let t=Ezn(pe(e),"stages");if(!nL(t))return"";let n=[];try{for(let r of bzn(t,{withFileTypes:!0}))if(r.isDirectory())for(let i of A3(e,r.name)){let s=String(i.decision??"").trim(),o=String(i.choice??"").trim();if(!s||!o)continue;let a=i.source==="user"?"user":"agent-acknowledged",c=typeof i.rationale=="string"&&i.rationale.trim()?` \u2014 ${i.rationale.trim()}`:"";n.push(`- **${s}** \u2192 chose \`${o}\` (${a})${c}`)}}catch{return""}return n.length===0?"":["## Decisions already made \u2014 do NOT re-litigate","","These are rulings the owner (or the agent, acknowledged) has already made on this intent \u2014 including how to resolve contradictions between upstream artifacts. A finding that re-opens one of these is churn: the call stands. If an upstream doc still contradicts the ruling, that's a known divergence flagged for reconciliation, NOT a fresh finding \u2014 do not re-file it. Only raise it if you have genuinely new information the decision didn't account for, and say so explicitly.","",...n].join(`
+`).trimEnd()}function Ti(e){let{unit:t,hat:n,bolt:r,intent:i,stage:s,agentType:o,model:a,promptBody:c,heading:u,toolAttr:l,forceForeground:d,omitBolt:f}=e,{path:p,parentInstruction:h}=Nft({unit:t,hat:n,bolt:r,intent:i,stage:s,content:c,omitBolt:f});return Mft({path:p,parentInstruction:h,agentType:o,model:a,heading:u,toolAttr:l,background:d===!0?!1:Mi().subagents.backgroundSpawn})}function ju(e){if(!Go.modelSelection)return;let{mandatePath:t,studio:n,stage:r}=e;if(t){let s=Qdt(t);if(s)return s}if(r){let s=$i(n,r),o=bI(s?.data?.default_model);if(o)return o}let i=Nd(n);return bI(i?.data?.default_model)}function Xft(e,t,n,r,i){let s=Mi();return s.hooks?"":Zft.renderString(_zn,{slug:e,stage:t,hat:n,hatsStr:r.join(" \u2192 "),bolt:i,nativeAskUser:s.nativeAskUser})}function LI(e,t){if(!t)return"";let n=jft(e,t);return n.length===0?"":["## Active providers for this phase","","The following provider behavior contracts apply to this prompt. Read each one before drafting your response.","",n.map(i=>Kft({kind:i.kind,category:i.category,body:i.body})).join(`
 
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-`)}function DI(e){let t=`${e.replace(/\/$/,"")}/intent.md`;if(!KD(t))return"";try{let{data:n}=re(u4(t,"utf8"));return typeof n.mode=="string"?n.mode:""}catch{return""}}function LI(e,t="subagents",n={}){return`Spawn each \`<subagent>\` block below in a single message (parallel \`Task\` calls). When a ${t.replace(/s$/,"")} returns, do what its final message tells you \u2014 spawn the relayed \`<subagent>\` block it carries, call \`haiku_run_next\`, or just acknowledge.`}function Mf(e,t){let{slug:n,stage:r}=t,i=r?`\`${r}\``:"the active stage",o=[{signal:"conversation",line:`**Capture (or extend) the conversation.** If alignment on substance for ${i} is already reached, call \`haiku_stage_elaboration_record\` now \u2014 the cursor's next tick fires the substance verifier without re-prompting for conversation.`},{signal:"verify_conversation",line:"**Dispatch the elaborate-substance verifier** if a conversation artifact exists but is unverified. 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No session id is persisted to the repo."})),gate_context:I.Optional(I.String({description:"What this gate advances on approval \u2014 intent_completion | intent_review | elaborate_to_execute | stage_gate. Passed by haiku_run_next on the inline path so post-decision routing needs no repo-persisted pointer. Defaults to stage_gate when omitted."})),next_stage:I.Optional(I.Unsafe({type:["string","null"],description:"Stage to advance to on approval (non-final stage gate), or null. Passed by haiku_run_next on the inline path."})),next_phase:I.Optional(I.Unsafe({type:["string","null"],description:"Phase to advance to on approval (spec / intent_review gates), or null. Passed by haiku_run_next on the inline path."})),auto_open:I.Optional(I.Boolean({description:"Hard override on the local browser launch. Defaults to true. When true, the tool launches the review URL in the default browser only if NO SPA tab is already attached for this session \u2014 the live-websocket check is authoritative, so passing true never causes a duplicate tab. Set to false on hosts where the local-browser launch is known to fail (headless containers, sandboxed runners) \u2014 the tool will still complete the await, the user just has to follow the URL themselves."})),review_url:I.Optional(I.String({description:"Review URL to open. Optional. Pass the review_url from the gate_review action \u2014 if omitted, no browser will be launched but the await will still complete when the user submits a decision via the SPA."})),state_file:I.Optional(I.String({description:"Internal \u2014 session state file path for telemetry."}))},{additionalProperties:!1}),Lme=He.compile(c0),pZ=I.Object({session_id:I.String({minLength:1,description:"Session ID returned by ask_user_visual_question."}),url:I.Optional(I.String({description:"Question URL. Optional \u2014 primarily used for the browser-launch step."})),auto_open:I.Optional(I.Boolean({description:"Try to open the URL in the default browser when waiting begins (default true). Set to false for remote control / headless / mobile-chat scenarios."}))},{additionalProperties:!1}),Ume=He.compile(pZ),hZ=I.Object({session_id:I.String({minLength:1,description:"Session ID returned by pick_design_direction."}),intent_slug:I.Optional(I.String({description:"Intent slug \u2014 used for stage-branch reconciliation after the user selects an archetype. Optional: handler also resolves it from the session record. Pass it explicitly to override."})),url:I.Optional(I.String({description:"Direction URL. Optional \u2014 primarily used for the browser-launch step."})),auto_open:I.Optional(I.Boolean({description:"Try to open the URL in the default browser when waiting begins (default true). Set to false for remote control / headless / mobile-chat scenarios."}))},{additionalProperties:!1}),Fme=He.compile(hZ)});var IL,u0,jme,Zgt=v(()=>{"use strict";Ao();ka();IL=["force_stage_complete","set_intent_field","reset_drift","mutate_feedback","set_unit_iterations","preview_cursor"],u0=I.Object({intent:I.String({minLength:1,description:"Intent slug"}),op:I.String({enum:[...IL],description:"Which admin op to run: force_stage_complete, set_intent_field, reset_drift, mutate_feedback, preview_cursor."}),reason:I.Optional(I.String({description:"Why you're running this admin op \u2014 the cause that led here (e.g. 'cursor stuck on stage `design` after a manual branch edit; force-completing to unblock'). Surfaced verbatim to the user at the top of the confirmation picker so they have the context to approve or cancel. Plain prose, not a status code."})),stage:I.Optional(I.String({description:"Target stage (force_stage_complete, mutate_feedback)."})),field:I.Optional(I.String({description:"intent.md FM key (set_intent_field)."})),value:I.Optional(I.Unsafe({type:["string","array","number","boolean","null","object"],description:"intent.md FM value (set_intent_field)."})),feedback_id:I.Optional(I.String({description:"Feedback ID to mutate (mutate_feedback). For batch mutations, use feedback_ids instead."})),feedback_ids:I.Optional(I.Array(I.String(),{description:"Batch form of feedback_id \u2014 array of FB IDs to mutate in a single call (mutate_feedback). The same `patch` is applied to every FB in the list. Use this instead of firing the picker confirmation per-FB."})),patch:I.Optional(I.Object({},{additionalProperties:!0,description:"FB FM keys to set (mutate_feedback). Example: { closed_at: '2026-...', closed_by: 'manual_review' }."})),fields:I.Optional(I.Object({},{additionalProperties:!0,description:"Batch form of field/value \u2014 object of intent.md FM keys to set in a single call (set_intent_field). Example: { mode: 'autopilot', archived: false }."})),close_open_feedback:I.Optional(I.Boolean({description:'force_stage_complete only. When true, also stamps `closed_at` + `closed_by: "force_complete"` on every open FB on the targeted stages (and on intent scope when the final stage is the target). Open FBs otherwise continue blocking the cursor even after every approval is signed.'})),unit:I.Optional(I.String({description:"Unit slug or filename stem (set_unit_iterations). Example: 'unit-03-my-thing' or 'unit-03'."})),iterations:I.Optional(I.Array(I.Object({hat:I.String({minLength:1}),result:I.String({enum:["advance","reject"]}),at:I.Optional(I.String())},{additionalProperties:!0}),{description:"Explicit iterations[] array to write (set_unit_iterations). Omit to auto-synthesize one `advance` entry per hat in the stage's `hats:` sequence \u2014 the typical recovery shape when a legacy unit has no iterations but its outputs landed."}))},{additionalProperties:!1}),jme=He.compile(u0)});var l0,Hme,Ygt=v(()=>{"use strict";Ao();ka();l0=I.Object({intent:I.String({minLength:1,description:"Intent slug. Required."}),stage:I.String({minLength:1,description:"Stage the discovery belongs to (e.g. `inception`, `design`)."}),template:I.String({minLength:1,description:"Discovery template name (matches the `discovery/<name>.md` file under the studio's stage)."})},{additionalProperties:!1}),Hme=He.compile(l0)});var Bh,Og,mZ,qme,gZ,Bme,yZ,Gme,SZ,zme,EZ,Vme,bZ,Wme,_Z,Kme,TZ,Zme,vZ,Yme,AZ,Jme,Jgt=v(()=>{"use strict";Ao();ka();Bh=I.Optional(I.String()),Og={intent:I.String({minLength:1,description:"Intent slug"}),stage:I.Optional(I.String({description:"Stage name. Omit for intent-scope feedback."})),feedback_id:I.Integer({minimum:1,maximum:999,description:"Feedback identifier \u2014 the numeric prefix of the FB on disk (e.g. for `008-output-discovery-\u2026md`, pass `8`). Just a number; no `FB-` prefix, no zero-padding, no string form. Range fits the on-disk `NNN-\u2026md` 3-digit padding (max 999, plenty of room). The handler does prefix-match lookup against `<NNN>-*.md` \u2014 the agent never needs to know the slug part. Pre-2026-05-07 intents that used 2-digit padding (`08-\u2026md`) still resolve correctly; the lookup parses leading digits regardless of width."})},mZ=I.Object({...Og,state_file:Bh},{additionalProperties:!1}),qme=He.compile(mZ),gZ=I.Object({...Og,to_stage:I.String({description:"Target stage. Empty string for intent-scope. Same as `stage` to confirm placement; different to relocate."}),state_file:Bh},{additionalProperties:!1}),Bme=He.compile(gZ),yZ=I.Object({...Og,reason:I.String({minLength:1,description:"Explanation for why this feedback is being rejected"}),state_file:Bh},{additionalProperties:!1}),Gme=He.compile(yZ),SZ=I.Object({intent:I.String({minLength:1,description:"Intent slug"}),stage:I.Optional(I.String({description:"Stage name. Omit to list across all stages."})),closed:I.Optional(I.Boolean({description:"If true, list only closed feedback (closed_at != null). If false, list only open feedback (closed_at == null). Omit to list both."})),state_file:Bh},{additionalProperties:!1}),zme=He.compile(SZ),EZ=I.Object({...Og,state_file:Bh},{additionalProperties:!1}),Vme=He.compile(EZ),bZ=I.Object({...Og,body:I.String({description:"Full markdown body to write. Replaces the prior body entirely."}),state_file:Bh},{additionalProperties:!1}),Wme=He.compile(bZ),_Z=I.Object({...Og,target_unit:I.Unsafe({type:["string","null"],description:"Unit slug this FB targets (e.g. 'unit-03-business-context'), or null for intent-scope. Set once; subsequent calls are rejected."}),target_invalidates:I.Array(I.String(),{description:"Approval/review role keys to clear on the targeted unit when this FB closes. e.g. ['user'] for user-recoverable findings, ['code-reviewer', 'spec'] for cross-role invalidation. Empty array is allowed (informational closure with no rerun)."}),reasoning:I.Optional(I.String({description:"Optional one-paragraph rationale for the classification choice. Stored on `targets.reasoning` and surfaced in the SPA next to the target so reviewers can see WHY the classifier picked this target_unit / target_invalidates combo. Encouraged for non-obvious classifications (e.g. cross-cutting findings routed to intent-scope)."})),state_file:Bh},{additionalProperties:!1}),Kme=He.compile(_Z),TZ=I.Object({...Og,severity:I.String({enum:["blocker","high","medium","low"],description:"Finding urgency. blocker = stops the gate, fix first; high = fix before delivery; medium = should fix; low = nice-to-have / nit. Set once; subsequent calls on an already-classified FB are rejected."}),reasoning:I.Optional(I.String({description:"Optional one-paragraph rationale for the severity choice. Surfaced in the SPA next to the badge so reviewers see WHY the classifier ranked it this way. Encouraged for non-obvious calls (e.g. a low-looking finding bumped to blocker because it gates a downstream unit)."})),state_file:Bh},{additionalProperties:!1}),Zme=He.compile(TZ),vZ=I.Object({...Og,message:I.String({minLength:1,description:"REQUIRED handoff message \u2014 the baton you pass to the next fix-hat. State what you did about the finding, what you concluded, and what the next hat needs to know to pick up cleanly. Recorded on this iteration and embedded in the next fix-hat's dispatch. Distinct from `reply` (the requester-facing closure note); this is the inter-hat baton."}),reply:I.Optional(I.String({description:"REQUIRED when this advance closes the feedback (terminal hat in fix_hats). A short plain-language explanation of what was changed, written to the requester. Stored on the FB frontmatter as `closure_reply` and surfaced in the SPA review timeline. Mid-chain advances may omit it."})),resolution:I.Optional(I.String({enum:["non_actionable"],description:"Set to `non_actionable` to TERMINAL-CLOSE this finding immediately from ANY hat, short-circuiting the rest of the fix_hats chain. Use ONLY when the finding is valid but has no code fix \u2014 a question you can answer in `message`/`reply`, an out-of-scope/process note, or an immutable/already-superseded target. The FB closes as `non_actionable` (distinct from a fixed-closure and from `haiku_feedback_reject`'s invalid-rejection) and is never re-dispatched. Omit for a normal advance."})),state_file:Bh},{additionalProperties:!1}),Yme=He.compile(vZ),AZ=I.Object({...Og,message:I.String({minLength:1,description:"REQUIRED handoff message \u2014 the baton back to the fix-hat that gets re-run. Explain why the current hat's work was rejected AND what must change to pass. Recorded on this iteration and embedded in the re-dispatched hat's instruction."}),state_file:Bh},{additionalProperties:!1}),Jme=He.compile(AZ)});var RZ,xL,wZ,Xme,kZ,Qme,IZ,$me,Xgt=v(()=>{"use strict";Ao();ka();RZ=I.Optional(I.String()),xL=I.Object({title:I.String({description:'Short human-readable title (3\u20138 words, max 80 chars, single line, no trailing period). Must be a deliberate summary \u2014 NOT the first 80 chars of the description. Good: "Add archivable intents". Bad: "Add archivable intents to H\xB7AI\xB7K\xB7U. Users need a way to soft-hide\u2026".'}),description:I.String({description:"Full description of what the intent is about (2\u20135 sentences covering scope, motivation, and constraints). Stored verbatim in the intent body."}),studio_candidates:I.Array(I.String(),{description:"REQUIRED. The 2\u20134 studios (canonical name, slug, or alias) that best fit the description \u2014 pre-narrows the studio picker. Fetch the options from `haiku_studio_list` (name + description per studio) and pick the closest matches. At least one must resolve; the picker still shows the rest behind a 'Show all studios\u2026' expansion. Omitting it is rejected with instructions to fetch the list and retry."}),slug:I.Optional(I.String({description:"URL-friendly slug for the intent (auto-generated from title if not provided)"})),context:I.Optional(I.String({description:"Conversation context summary \u2014 highlights from the conversation that led to this intent"})),state_file:RZ},{additionalProperties:!1}),wZ=I.Object({slug:I.String({minLength:1,description:"Intent slug"}),field:I.String({minLength:1,description:"Frontmatter field name to read"}),state_file:RZ},{additionalProperties:!1}),Xme=He.compile(wZ),kZ=I.Object({include_archived:I.Optional(I.Boolean({description:"When true, include archived intents in the result and add an 'archived' field to each response object. Defaults to false."})),state_file:RZ},{additionalProperties:!1}),Qme=He.compile(kZ),IZ=I.Object({intent:I.String({minLength:1}),field:I.String({minLength:1}),value:I.Unsafe({type:["string","array","number","boolean","null","object"],description:"New value. Must match the field's declared type in INTENT_FRONTMATTER_SCHEMA. Mismatches return `intent_field_type_mismatch`."}),state_file:RZ},{additionalProperties:!1}),$me=He.compile(IZ)});var Ro,Qgt,xZ,ege,OZ,tge,NZ,nge,PZ,rge,OL,NL,CZ,ige,MZ,sge,DZ,oge,LZ,age,UZ,cge,FZ,uge,jZ,lge,HZ,dge,qZ,fge,BZ,pge,GZ,hge,d0,mge,zZ,gge,VZ,yge,WZ,Sge,$gt=v(()=>{"use strict";Ao();ka();Ro=I.Optional(I.String()),Qgt=I.Object({state_file:Ro},{additionalProperties:!1}),xZ=I.Object({intent:I.String({minLength:1}),stage:I.Optional(I.String({description:"Stage name. Defaults to the intent's active_stage when omitted."})),rationale:I.String({minLength:1,description:"Rationale (\u226510 chars in handler check) explaining why this divergence is intentional."}),state_file:Ro},{additionalProperties:!1}),ege=He.compile(xZ),OZ=I.Object({intent:I.String({minLength:1}),stage:I.Optional(I.String()),no_decisions:I.Optional(I.Boolean()),decision:I.Optional(I.String()),options:I.Optional(I.Array(I.String())),choice:I.Optional(I.String()),source:I.Optional(I.String({enum:["user","autonomous-acknowledged"],description:"Who made the call. user = user picked from agent-presented options. autonomous-acknowledged = agent chose and surfaced for veto-style approval."})),rationale:I.Optional(I.String()),state_file:Ro},{additionalProperties:!1}),tge=He.compile(OZ),NZ=I.Object({intent:I.String({minLength:1}),state_file:Ro},{additionalProperties:!1}),nge=He.compile(NZ),PZ=I.Object({intent:I.String({minLength:1}),name:I.String({minLength:1}),state_file:Ro},{additionalProperties:!1}),rge=He.compile(PZ),OL=Qgt,NL=He.compile(Qgt),CZ=I.Object({studio:I.String({minLength:1}),state_file:Ro},{additionalProperties:!1}),ige=He.compile(CZ),MZ=I.Object({studio:I.String({minLength:1}),stage:I.String({minLength:1}),state_file:Ro},{additionalProperties:!1}),sge=He.compile(MZ),DZ=I.Object({field:I.String({minLength:1,description:"Dot-separated path (e.g. 'studio', 'providers.ticketing.type', 'providers.spec.config.space')"}),state_file:Ro},{additionalProperties:!1}),oge=He.compile(DZ),LZ=I.Object({field:I.String({minLength:1}),value:I.Unsafe({type:["string","array","number","boolean","null","object"],description:"New value. Must validate against the field's declared shape in settings.schema.json. Pass null to delete."}),state_file:Ro},{additionalProperties:!1}),age=He.compile(LZ),UZ=I.Object({studio:I.Optional(I.String({description:"Optional: filter to a specific studio"})),state_file:Ro},{additionalProperties:!1}),cge=He.compile(UZ),FZ=I.Object({task:I.String({minLength:1,description:"The work to run through the stage's hat loop."}),studio:I.Optional(I.String({description:"Studio slug (e.g. `software`). Defaults to `software` when omitted and present."})),stage:I.Optional(I.String({description:"Stage within the studio (e.g. `development`). Defaults to the studio's build-class execution stage when omitted."})),state_file:Ro},{additionalProperties:!1}),uge=He.compile(FZ),jZ=I.Object({intent:I.Optional(I.String({description:"Optional: intent slug for context"})),state_file:Ro},{additionalProperties:!1}),lge=He.compile(jZ),HZ=I.Object({intent:I.Optional(I.String({description:"Optional intent slug. Defaults to the sole active intent."})),stage:I.Optional(I.String({description:"Optional stage name. Defaults to the intent's active_stage."})),gate_kind:I.Optional(I.String({enum:["spec","approval"],description:"When set, opens the review pane as a workflow-bound gate session (vs. ad-hoc). 'spec' = pre-execute spec review (stamps reviews.user). 'approval' = post-execute output approval (stamps approvals.user)."})),units:I.Optional(I.Array(I.String(),{description:"Unit identifiers the user is gating. Surfaced by the cursor's user_gate action; ignored when gate_kind is unset."})),state_file:Ro},{additionalProperties:!1}),dge=He.compile(HZ),qZ=I.Object({action:I.Optional(I.String({enum:["list","add","review","promote"],description:"Defaults to `list`."})),description:I.Optional(I.String({description:"Description for the new backlog item (used with action=add)."})),state_file:Ro},{additionalProperties:!1}),fge=He.compile(qZ),BZ=I.Object({action:I.Optional(I.String({enum:["list","plant","check"],description:"Defaults to `list`."})),state_file:Ro},{additionalProperties:!1}),pge=He.compile(BZ),GZ=I.Object({version:I.Optional(I.String({description:"Optional: specific version to extract (e.g. '1.2.0')"})),state_file:Ro},{additionalProperties:!1}),hge=He.compile(GZ),d0=I.Object({intent:I.String({minLength:1,description:"Intent slug"}),stage:I.String({minLength:1,description:"Stage name to reset (e.g. 'product')"})},{additionalProperties:!1}),mge=He.compile(d0),zZ=I.Object({intent:I.Optional(I.String({description:"Specific intent slug to scan in cwd (skips multi-branch mode)"})),apply:I.Optional(I.Boolean()),skip_branches:I.Optional(I.Boolean()),state_file:Ro},{additionalProperties:!1}),gge=He.compile(zZ),VZ=I.Object({intent:I.String({minLength:1,description:"Intent slug to scope the view session. The SPA will only serve files under this intent's directory."}),stage:I.Optional(I.String({description:"Optional stage name to narrow the artifact list. Defaults to the intent's active_stage when omitted."})),artifact:I.Optional(I.String({description:"Optional intent-relative path to deep-link the SPA to a single artifact file (e.g. `stages/design/artifacts/wireframe.svg`). When omitted the SPA lists every artifact in scope."})),mode:I.Optional(I.String({enum:["auto","viewer","boot"],description:"Mode preference. `auto` (default) tries boot first and falls back to viewer. `boot` forces a spawned dev server and hard-fails when no `command` is supplied and no fast-path is detected. `viewer` forces the SPA artifact-browser route."})),command:I.Optional(I.Array(I.String({minLength:1}),{minItems:1,description:'Single-process boot \u2014 explicit command argv (e.g. `["uvicorn", "app:main"]`, `["bin/dev"]`, `["go", "run", "./cmd/server"]`). Engine spawns with `PORT` + `HOST` env vars set so the dev server binds where the supervisor expects. Use this for one-process apps. For monorepos / stacks (api + frontend + db + worker), use `processes` instead.'})),cwd:I.Optional(I.String({description:"Working directory for `command`, relative to the intent dir. Defaults to the intent dir when omitted. Ignored when `processes` is supplied (each process declares its own cwd)."})),processes:I.Optional(I.Array(I.Object({name:I.String({minLength:1,pattern:"^[a-zA-Z][a-zA-Z0-9_-]*$",description:"Identifier for this process. Used to build service-discovery env vars (`<NAME>_PORT`, `<NAME>_URL`) injected into dependents, and as the `primary` selector. Lowercase letters / digits / `-` / `_`; must start with a letter."}),command:I.Array(I.String({minLength:1}),{minItems:1,description:'Argv for this process (e.g. `["npm", "run", "api"]`, `["redis-server"]`, `["docker", "compose", "up", "postgres"]`).'}),cwd:I.Optional(I.String({description:'Working directory for this process, relative to the intent dir. Defaults to the intent dir when omitted (e.g. `"backend"` for `packages/backend/` in a monorepo).'})),port_env:I.Optional(I.String({minLength:1,description:'Env-var name the engine assigns the allocated ephemeral port to. Defaults to `PORT`. Override when the process expects a different name (e.g. `"RAILS_PORT"`, `"API_PORT"`).'})),ready_url:I.Optional(I.String({description:'Optional HTTP URL the supervisor polls to confirm this process is ready before starting dependents (e.g. `"http://127.0.0.1:{port}/healthz"`). Use `{port}` as the placeholder for the allocated port. Falls back to TCP port-bind detection when omitted.'})),depends_on:I.Optional(I.Array(I.String({minLength:1}),{description:"Names of processes that must be ready before this one starts. The supervisor topologically sorts the graph and starts processes in dependency order. Each dependency's `<NAME>_PORT` and `<NAME>_URL` env vars are injected into this process's env so the runtime can do service discovery (e.g. an API depending on `db` sees `DB_PORT` + `DB_URL`)."})),no_port:I.Optional(I.Boolean({description:"Set true for processes that don't listen on a TCP port (queue workers, background daemons, schedulers). The supervisor still tracks lifecycle but skips port allocation and readiness checking."}))},{additionalProperties:!1}),{minItems:1,description:"Process group \u2014 boot multiple coordinated processes (api + frontend + db + worker etc.). The supervisor allocates an ephemeral port per process (unless `no_port`), starts them in dependency order, waits for each to be ready, and exposes `<NAME>_PORT` + `<NAME>_URL` env vars to every dependent. Killing the session kills the whole group. Mutually exclusive with `command`."})),primary:I.Optional(I.String({minLength:1,description:"Name of the process whose URL is returned as the top-level `url` field \u2014 i.e., the one Playwright drives. Required when `processes` has more than one port-bound entry. Ignored for single-process boots."})),state_file:Ro},{additionalProperties:!1}),yge=He.compile(VZ),WZ=I.Object({session_id:I.String({minLength:1,description:"Session ID returned by `haiku_view`."}),state_file:Ro},{additionalProperties:!1}),Sge=He.compile(WZ)});var f0,Ege,eyt=v(()=>{"use strict";Ao();ka();f0=I.Object({intent:I.String({minLength:1,description:"Intent slug. Required."}),kind:I.String({enum:["review","approval"],description:"Which witness to stamp: `review` (PRE-execute spec audit) or `approval` (POST-execute work audit). Matches the dispatch phase your subagent ran under."}),role:I.String({minLength:1,description:"Your review role (e.g. `continuity`, `cross-stage-consistency`, `completeness`, `spec`, or a studio review-agent name). Stamps `reviews.<role>` / `approvals.<role>`."}),stage:I.String({minLength:1,description:"Stage the review/approval belongs to."})},{additionalProperties:!1}),Ege=He.compile(f0)});var p0,bge,h0,_ge,m0,Tge,g0,vge,tyt=v(()=>{"use strict";Ao();ka();p0=I.Object({intent:I.String({minLength:1,description:"Intent slug. Required."}),options:I.Optional(I.Array(I.String(),{description:"Studio names to present in the picker. Empty/omitted = every available studio. Single element = auto-select without prompting."}))},{additionalProperties:!1}),bge=He.compile(p0),h0=I.Object({intent:I.String({minLength:1,description:"Intent slug. Required."}),options:I.Optional(I.Array(I.String(),{description:"Mode names to present in the picker (continuous, discrete, autopilot, quick). Empty/omitted = every mode valid for the intent's current state. Single element = auto-select without prompting."}))},{additionalProperties:!1}),_ge=He.compile(h0),m0=I.Object({intent:I.String({minLength:1,description:"Intent slug. Required."}),options:I.Optional(I.Array(I.String(),{description:"Stage name to auto-select (zero or one element \u2014 quick mode is single-stage by definition)."}))},{additionalProperties:!1}),Tge=He.compile(m0),g0=I.Object({intent:I.String({minLength:1,description:"Intent slug. Required."}),stage:I.String({minLength:1,description:"Name of the optional stage to drop. Must be the intent's active stage and not yet started."})},{additionalProperties:!1}),vge=He.compile(g0)});var nyt,y0,Age,S0,Rge,E0,wge,KZ,kge,ZZ,Ige,b0,xge,ryt=v(()=>{"use strict";Ao();ka();nyt=I.Optional(I.String()),y0=I.Object({intent:I.String({minLength:1,description:"Intent slug"}),stage:I.String({minLength:1,description:"Stage name"}),body:I.String({minLength:1,description:"Markdown body of the captured conversation. Should summarize what the agent proposed, what the user clarified, and the final agreement. Anchored on specific intent content."})},{additionalProperties:!1}),Age=He.compile(y0),S0=I.Object({intent:I.String({minLength:1,description:"Intent slug"}),stage:I.String({minLength:1,description:"Stage name"}),nonce:I.String({minLength:1,description:"Verifier nonce minted by the cursor when emitting the `elaborate_review` action. Surfaced on the action payload as `verifier_nonce`. Single-use: consumed by the seal tool on success."}),notes:I.Optional(I.String({description:"Optional verifier notes recorded as the seal's rationale. Stored on FM as `verified_notes`."}))},{additionalProperties:!1}),Rge=He.compile(S0),E0=I.Object({intent:I.String({minLength:1,description:"Intent slug"}),stage:I.String({minLength:1,description:"Stage name"}),nonce:I.String({minLength:1,description:"Verifier nonce minted by the cursor when emitting the `decompose_review` action. Surfaced on the action payload as `verifier_nonce`. Single-use: consumed by the seal tool on success."}),notes:I.Optional(I.String({description:"Optional verifier notes recorded as the seal's rationale. 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Single-use: consumed by the seal tool on success."}),notes:I.Optional(I.String({description:"Optional verifier notes recorded on intent FM as `verified_notes`."}))},{additionalProperties:!1}),xge=He.compile(b0)});var YZ,Oge,JZ,Nge,XZ,Pge,QZ,Cge,$Z,Mge,e9,Dge,t9,Lge,iyt=v(()=>{"use strict";Ao();ka();YZ=I.Object({studio:I.String({minLength:1,description:"Studio name"}),stage:I.String({minLength:1,description:"Stage name"}),hat:I.String({minLength:1,description:"Hat name"}),fix:I.Optional(I.Boolean({description:"When true, resolve the fix-loop-scoped mandate (stages/<stage>/fix-hats/<hat>.md, falling back to the production hats/<hat>.md when absent). Use ONLY from fix-loop dispatches; omit for production hat work."}))},{additionalProperties:!1}),Oge=He.compile(YZ),JZ=I.Object({studio:I.String({minLength:1,description:"Studio name"}),stage:I.String({minLength:1,description:"Stage name"})},{additionalProperties:!1}),Nge=He.compile(JZ),XZ=I.Object({intent:I.String({minLength:1,description:"Intent slug"})},{additionalProperties:!1}),Pge=He.compile(XZ),QZ=I.Object({studio:I.String({minLength:1,description:"Studio name"}),stage:I.Optional(I.String({minLength:1,description:"Stage name for a stage-scope review/approval agent. 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OPTIONAL \u2014 when omitted, the handler resolves it from on-disk layout. Pass it through from the cursor's dispatched action to make this call race-safe against concurrent run_next calls that may switch the working tree."})),o9=I.Object({intent:I.String({minLength:1}),unit:I.String({minLength:1}),stage:Hge,state_file:OE},{additionalProperties:!1}),qge=He.compile(o9),a9=I.Object({intent:I.String({minLength:1}),unit:I.String({minLength:1}),stage:Hge,message:I.String({minLength:1,description:"REQUIRED handoff message \u2014 the baton you pass to the next hat. State what you did, what you concluded, and what the next hat needs to know to pick up cleanly (decisions made, open questions, where you left off). Recorded on this iteration and embedded in the next hat's dispatch. Not a status line \u2014 write it for the hat that reads it next."}),state_file:OE},{additionalProperties:!1}),Bge=He.compile(a9),c9=I.Object({intent:I.String({minLength:1}),unit:I.String({minLength:1}),stage:Hge,message:I.String({minLength:1,description:"REQUIRED handoff message \u2014 the baton back to the hat that gets re-run. Explain why the current hat's output was rejected AND what must change to pass (e.g. 'touch targets <44px on mobile \u2014 bump to 44px min and re-check the nav row'). Recorded on this iteration and embedded in the re-dispatched hat's instruction."}),state_file:OE},{additionalProperties:!1}),Gge=He.compile(c9),u9=I.Object({...n9,state_file:OE},{additionalProperties:!1}),zge=He.compile(u9),l9=I.Object({...n9,state_file:OE},{additionalProperties:!1}),Vge=He.compile(l9),d9=I.Object({intent:I.String({minLength:1}),stage:I.String({minLength:1}),unit:I.String({minLength:1,description:"Unit name without `.md` extension, e.g. `unit-001-foo`. 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Required on `reject` (caller must explain what went wrong) and optional on `advance`."}))},{additionalProperties:!1})});var Jge,Xge,ayt=v(()=>{"use strict";Ao();Jge=I.Object({error:I.String({description:"Stable named error code."}),message:I.String({description:"Human-readable remediation guidance."})},{additionalProperties:!0}),Xge=I.Object({ok:I.Literal(!0),message:I.String()},{additionalProperties:!0})});var h9,Qge,cyt=v(()=>{"use strict";Ao();h9=I.Object({stage:I.Optional(I.String()),status:I.Optional(I.String({enum:["pending","active","completed","blocked"]})),phase:I.Optional(I.String({enum:["","elaborate","execute","review","gate"]})),started_at:I.Optional(I.Union([I.String(),I.Null()])),completed_at:I.Optional(I.Union([I.String(),I.Null()])),gate_entered_at:I.Optional(I.Union([I.String(),I.Null()])),gate_outcome:I.Optional(I.Union([I.String(),I.Null()])),visits:I.Optional(I.Integer({minimum:0})),iterations:I.Optional(I.Array(I.Unknown())),elaboration_turns:I.Optional(I.Integer({minimum:0})),decision_log:I.Optional(I.Array(I.Unknown()))},{additionalProperties:!0}),Qge=Object.keys(h9.properties??{})});var lyt,uyt,QT,Ng,NE,Zf,dyt=v(()=>{"use strict";Ao();ka();lyt=["started_at","iterations","reviews","approvals","quality_gates_env_blocked"],uyt="^[^\\s:,]+(?:/[^\\s:,]+)*$",QT=I.Object({title:I.Optional(I.String({minLength:1,description:"Unit title \u2014 non-empty string. Defaults to first H1 in the body, or to the unit name."})),description:I.Optional(I.String({description:"Optional unit description."})),depends_on:I.Optional(I.Array(I.String(),{description:"Names of sibling units in the SAME stage that must complete before this one. Each entry must resolve to an actual sibling. No self-reference. No cycles. (Cross-sibling and cycle checks are runtime \u2014 they need the full stage DAG, not expressible in this schema.)"})),inputs:I.Optional(I.Array(I.String({pattern:uyt}),{description:"Cross-stage inputs this unit reads \u2014 paths to artifacts produced by prior stages. Each entry MUST be a file/dir path (no whitespace, no colons or commas, no prose)."})),outputs:I.Optional(I.Array(I.String({pattern:uyt}),{description:"Artifacts this unit produces. Each entry MUST be a real file path (no whitespace, no colons or commas, no prose) \u2014 the gate verifies the path exists on disk at unit completion. Use `inputs:` if you mean to declare what the unit READS; use the body's `## Completion Criteria` section if you mean to declare prose-style success conditions."})),quality_gates:I.Optional(I.Array(I.Object({name:I.String(),command:I.String(),dir:I.Optional(I.String())}),{description:"Build-class only: list of `{name, command, dir?}` executable gate objects. Run at terminal advance_hat time; non-zero exit blocks. Prose strings are silently skipped \u2014 they give no enforcement."})),model:I.Optional(I.String({enum:["haiku","sonnet","opus"],description:"Subagent tier for this unit's hats. `haiku` = mechanical, `sonnet` = standard (default), `opus` = deep reasoning. Cascade: unit > hat > stage > studio."})),closes:I.Optional(I.Array(I.String(),{description:"On revisit iterations, list of FB IDs this unit addresses (e.g. `[FB-01, FB-03]`). Informational \u2014 feedback closure happens via the FB's own iterations + targets.invalidates, not via this field."})),applicable_skills:I.Optional(I.Array(I.String(),{description:"Skill slugs (slash-command names without the leading `/`) identified as relevant for this unit during elaboration. The elaborator populates this from the installed skill registry. Hat subagent prompts surface these automatically so subagents know which skills to reach for."})),external_refs:I.Optional(I.Record(I.String(),I.String(),{description:"External-system references for this unit (e.g. `ticket: PROJ-123`, `design_ref: figma://...`). Populated by the agent when a workflow or source provider is active. Engine doesn't interpret values \u2014 they're the durable handle between H\xB7AI\xB7K\xB7U and the external system. (2026-05-19, provider-injection wave.)"}))},{propertyNames:{not:{enum:[...lyt]}},additionalProperties:!0}),Ng=He.compile(QT),NE=Object.keys(QT.properties??{}),Zf=lyt});var ji=v(()=>{"use strict";Mme();Wgt();Kgt();Zgt();Ygt();Jgt();Xgt();$gt();eyt();tyt();ryt();iyt();syt();Yge();oyt();ayt();cyt();dyt()});var hyt={};Rr(hyt,{DIR_INVENTORY_SKIP:()=>y9,bodyMatchesStoredHash:()=>CL,bodySha256:()=>Pg,buildApprovalRecord:()=>jd,buildOutputWitnesses:()=>cKn,buildReviewRecord:()=>Nl,fileSha256:()=>v0,isTextBodyExtension:()=>g9,normalizeInputPath:()=>ML,outputSha256:()=>PE,resolveInputWitnesses:()=>S9});import{createHash as m9}from"node:crypto";import{existsSync as $T,readdirSync as oKn,readFileSync as $ge,statSync as fyt}from"node:fs";import{join as ev}from"node:path";function Pg(e){if(!$T(e))return"";let t=$ge(e,"utf8"),n=t;try{n=(0,eye.default)(t).content}catch{n=t}return n.endsWith(`
+`)}function UI(e){let t=`${e.replace(/\/$/,"")}/intent.md`;if(!nL(t))return"";try{let{data:n}=re(v3(t,"utf8"));return typeof n.mode=="string"?n.mode:""}catch{return""}}function FI(e,t="subagents",n={}){return`Spawn each \`<subagent>\` block below in a single message (parallel \`Task\` calls). When a ${t.replace(/s$/,"")} returns, do what its final message tells you \u2014 spawn the relayed \`<subagent>\` block it carries, call \`haiku_run_next\`, or just acknowledge.`}function Lf(e,t){let{slug:n,stage:r}=t,i=r?`\`${r}\``:"the active stage",o=[{signal:"conversation",line:`**Capture (or extend) the conversation.** If alignment on substance for ${i} is already reached, call \`haiku_stage_elaboration_record\` now \u2014 the cursor's next tick fires the substance verifier without re-prompting for conversation.`},{signal:"verify_conversation",line:"**Dispatch the elaborate-substance verifier** if a conversation artifact exists but is unverified. 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$ft,readFileSync as ept}from"node:fs";import{join as jI}from"node:path";function Rzn(){return zpe===null&&(zpe=ie("@canon:feedback/start_feedback_hat","subagent.eta.md")),zpe}function Azn(e){if(!Go.modelSelection)return;let{slug:t,stage:n,studio:r,hat:i,feedbackId:s}=e,o;if(s){let d=s.replace(/^FB-/,""),f=n?jI(ar(t,n),"feedback"):jI(pe(t),"feedback");try{let p=Qft(f)?$ft(f).filter(h=>h.startsWith(d)&&h.endsWith(".md")):[];if(p.length>0){let h=ept(jI(f,p[0]),"utf8");o=(0,Gpe.default)(h).data.model}}catch{}}let a=n?Du(r,n)?.[i]:JK(r)?.[i],c=n?$i(r,n):void 0,u=Nd(r),l=db({unit:o,hat:a?.model,stage:c?.data?.default_model,studio:u?.data?.default_model});return{model:l.model,source:l.source}}function HI(e){let{slug:t,studio:n,feedbackId:r,stage:i,hat:s,terminal:o}=e,a=Number.parseInt(r.replace(/^FB-/i,""),10)||0,c=i||"intent",u=null,l=()=>{if(u)return u;let f=i?jI(ar(t,i),"feedback"):jI(pe(t),"feedback"),p=r.replace(/^FB-/i,""),h="",m=1;if(Qft(f)){let g=$ft(f).find(y=>y.startsWith(p)&&y.endsWith(".md"));if(g){let y=jI(f,g);h=CI(y);try{let b=(0,Gpe.default)(ept(y,"utf8")).data,E=(Array.isArray(b.iterations)?b.iterations:[]).reduce((_,T)=>{let R=T?.bolt;return typeof R=="number"&&R>_?R:_},0);m=E>0?E:1}catch{}}}return u={priorRejectBlock:h,bolt:m},u},d={slug:t,emitStage:i||void 0,dispatchId:`fix-${r}`,ensureWorktree:()=>Ipe(t,c,r)??"",mandateRef:f=>kr({resolveBody:()=>i?EI(n,i,f,!0):nft(n,f),toolName:"haiku_read_hat",toolArgs:i?{studio:n,stage:i,hat:f,fix:!0}:{studio:n,hat:f,fix:!0},intent:t,stage:i||void 0,kind:"mandate",name:f}),priorHandoffBlock:()=>l().priorRejectBlock,resolveModel:f=>Azn({slug:t,studio:n,stage:i,hat:f,feedbackId:r})?.model,bolt:()=>l().bolt,template:()=>Rzn(),templateVars:({hat:f,terminal:p,worktree:h,mandateRef:m,priorRejectBlock:g})=>({slug:t,hat:f,stage:i,feedbackId:r,fbInt:a,terminal:p,worktree:h,mandateRef:m,priorRejectBlock:g}),heading:f=>`### Subagent \u2014 \`${r}\` (stage \`${i||"(intent)"}\`, hat 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Required."}),stage:I.String({minLength:1,description:"Stage the discovery belongs to (e.g. `inception`, `design`)."}),template:I.String({minLength:1,description:"Discovery template name (matches the `discovery/<name>.md` file under the studio's stage)."})},{additionalProperties:!1}),Jme=He.compile(f0)});var zh,Pg,x9,Xme,O9,Qme,P9,$me,N9,ege,C9,tge,M9,nge,D9,rge,L9,ige,U9,sge,F9,oge,cyt=v(()=>{"use strict";Ao();Ia();zh=I.Optional(I.String()),Pg={intent:I.String({minLength:1,description:"Intent slug"}),stage:I.Optional(I.String({description:"Stage name. Omit for intent-scope feedback."})),feedback_id:I.Integer({minimum:1,maximum:999,description:"Feedback identifier \u2014 the numeric prefix of the FB on disk (e.g. for `008-output-discovery-\u2026md`, pass `8`). Just a number; no `FB-` prefix, no zero-padding, no string form. Range fits the on-disk `NNN-\u2026md` 3-digit padding (max 999, plenty of room). The handler does prefix-match lookup against `<NNN>-*.md` \u2014 the agent never needs to know the slug part. Pre-2026-05-07 intents that used 2-digit padding (`08-\u2026md`) still resolve correctly; the lookup parses leading digits regardless of width."})},x9=I.Object({...Pg,state_file:zh},{additionalProperties:!1}),Xme=He.compile(x9),O9=I.Object({...Pg,to_stage:I.String({description:"Target stage. Empty string for intent-scope. Same as `stage` to confirm placement; different to relocate."}),state_file:zh},{additionalProperties:!1}),Qme=He.compile(O9),P9=I.Object({...Pg,reason:I.String({minLength:1,description:"Explanation for why this feedback is being rejected"}),state_file:zh},{additionalProperties:!1}),$me=He.compile(P9),N9=I.Object({intent:I.String({minLength:1,description:"Intent slug"}),stage:I.Optional(I.String({description:"Stage name. Omit to list across all stages."})),closed:I.Optional(I.Boolean({description:"If true, list only closed feedback (closed_at != null). If false, list only open feedback (closed_at == null). Omit to list both."})),state_file:zh},{additionalProperties:!1}),ege=He.compile(N9),C9=I.Object({...Pg,state_file:zh},{additionalProperties:!1}),tge=He.compile(C9),M9=I.Object({...Pg,body:I.String({description:"Full markdown body to write. Replaces the prior body entirely."}),state_file:zh},{additionalProperties:!1}),nge=He.compile(M9),D9=I.Object({...Pg,target_unit:I.Unsafe({type:["string","null"],description:"Unit slug this FB targets (e.g. 'unit-03-business-context'), or null for intent-scope. Set once; subsequent calls are rejected."}),target_invalidates:I.Array(I.String(),{description:"Approval/review role keys to clear on the targeted unit when this FB closes. e.g. ['user'] for user-recoverable findings, ['code-reviewer', 'spec'] for cross-role invalidation. Empty array is allowed (informational closure with no rerun)."}),reasoning:I.Optional(I.String({description:"Optional one-paragraph rationale for the classification choice. Stored on `targets.reasoning` and surfaced in the SPA next to the target so reviewers can see WHY the classifier picked this target_unit / target_invalidates combo. Encouraged for non-obvious classifications (e.g. cross-cutting findings routed to intent-scope)."})),state_file:zh},{additionalProperties:!1}),rge=He.compile(D9),L9=I.Object({...Pg,severity:I.String({enum:["blocker","high","medium","low"],description:"Finding urgency. blocker = stops the gate, fix first; high = fix before delivery; medium = should fix; low = nice-to-have / nit. Set once; subsequent calls on an already-classified FB are rejected."}),reasoning:I.Optional(I.String({description:"Optional one-paragraph rationale for the severity choice. Surfaced in the SPA next to the badge so reviewers see WHY the classifier ranked it this way. Encouraged for non-obvious calls (e.g. a low-looking finding bumped to blocker because it gates a downstream unit)."})),state_file:zh},{additionalProperties:!1}),ige=He.compile(L9),U9=I.Object({...Pg,message:I.String({minLength:1,description:"REQUIRED handoff message \u2014 the baton you pass to the next fix-hat. State what you did about the finding, what you concluded, and what the next hat needs to know to pick up cleanly. Recorded on this iteration and embedded in the next fix-hat's dispatch. Distinct from `reply` (the requester-facing closure note); this is the inter-hat baton."}),reply:I.Optional(I.String({description:"REQUIRED when this advance closes the feedback (terminal hat in fix_hats). A short plain-language explanation of what was changed, written to the requester. Stored on the FB frontmatter as `closure_reply` and surfaced in the SPA review timeline. Mid-chain advances may omit it."})),resolution:I.Optional(I.String({enum:["non_actionable"],description:"Set to `non_actionable` to TERMINAL-CLOSE this finding immediately from ANY hat, short-circuiting the rest of the fix_hats chain. Use ONLY when the finding is valid but has no code fix \u2014 a question you can answer in `message`/`reply`, an out-of-scope/process note, or an immutable/already-superseded target. The FB closes as `non_actionable` (distinct from a fixed-closure and from `haiku_feedback_reject`'s invalid-rejection) and is never re-dispatched. Omit for a normal advance."})),state_file:zh},{additionalProperties:!1}),sge=He.compile(U9),F9=I.Object({...Pg,message:I.String({minLength:1,description:"REQUIRED handoff message \u2014 the baton back to the fix-hat that gets re-run. Explain why the current hat's work was rejected AND what must change to pass. Recorded on this iteration and embedded in the re-dispatched hat's instruction."}),state_file:zh},{additionalProperties:!1}),oge=He.compile(F9)});var j9,FL,H9,age,q9,cge,B9,uge,uyt=v(()=>{"use strict";Ao();Ia();j9=I.Optional(I.String()),FL=I.Object({title:I.String({description:'Short human-readable title (3\u20138 words, max 80 chars, single line, no trailing period). Must be a deliberate summary \u2014 NOT the first 80 chars of the description. Good: "Add archivable intents". Bad: "Add archivable intents to H\xB7AI\xB7K\xB7U. Users need a way to soft-hide\u2026".'}),description:I.String({description:"Full description of what the intent is about (2\u20135 sentences covering scope, motivation, and constraints). Stored verbatim in the intent body."}),studio_candidates:I.Array(I.String(),{description:"REQUIRED. The 2\u20134 studios (canonical name, slug, or alias) that best fit the description \u2014 pre-narrows the studio picker. Fetch the options from `haiku_studio_list` (name + description per studio) and pick the closest matches. At least one must resolve; the picker still shows the rest behind a 'Show all studios\u2026' expansion. Omitting it is rejected with instructions to fetch the list and retry."}),slug:I.Optional(I.String({description:"URL-friendly slug for the intent (auto-generated from title if not provided)"})),context:I.Optional(I.String({description:"Conversation context summary \u2014 highlights from the conversation that led to this intent"})),state_file:j9},{additionalProperties:!1}),H9=I.Object({slug:I.String({minLength:1,description:"Intent slug"}),field:I.String({minLength:1,description:"Frontmatter field name to read"}),state_file:j9},{additionalProperties:!1}),age=He.compile(H9),q9=I.Object({include_archived:I.Optional(I.Boolean({description:"When true, include archived intents in the result and add an 'archived' field to each response object. Defaults to false."})),state_file:j9},{additionalProperties:!1}),cge=He.compile(q9),B9=I.Object({intent:I.String({minLength:1}),field:I.String({minLength:1}),value:I.Unsafe({type:["string","array","number","boolean","null","object"],description:"New value. Must match the field's declared type in INTENT_FRONTMATTER_SCHEMA. Mismatches return `intent_field_type_mismatch`."}),state_file:j9},{additionalProperties:!1}),uge=He.compile(B9)});var wo,lyt,z9,lge,G9,dge,V9,fge,W9,pge,jL,HL,K9,hge,Y9,mge,Z9,gge,J9,yge,X9,Sge,Q9,bge,$9,Ege,eY,_ge,tY,Tge,nY,vge,rY,Rge,p0,Age,iY,wge,sY,kge,oY,Ige,dyt=v(()=>{"use strict";Ao();Ia();wo=I.Optional(I.String()),lyt=I.Object({state_file:wo},{additionalProperties:!1}),z9=I.Object({intent:I.String({minLength:1}),stage:I.Optional(I.String({description:"Stage name. Defaults to the intent's active_stage when omitted."})),rationale:I.String({minLength:1,description:"Rationale (\u226510 chars in handler check) explaining why this divergence is intentional."}),state_file:wo},{additionalProperties:!1}),lge=He.compile(z9),G9=I.Object({intent:I.String({minLength:1}),stage:I.Optional(I.String()),no_decisions:I.Optional(I.Boolean()),decision:I.Optional(I.String()),options:I.Optional(I.Array(I.String())),choice:I.Optional(I.String()),source:I.Optional(I.String({enum:["user","autonomous-acknowledged"],description:"Who made the call. user = user picked from agent-presented options. autonomous-acknowledged = agent chose and surfaced for veto-style approval."})),rationale:I.Optional(I.String()),state_file:wo},{additionalProperties:!1}),dge=He.compile(G9),V9=I.Object({intent:I.String({minLength:1}),state_file:wo},{additionalProperties:!1}),fge=He.compile(V9),W9=I.Object({intent:I.String({minLength:1}),name:I.String({minLength:1}),state_file:wo},{additionalProperties:!1}),pge=He.compile(W9),jL=lyt,HL=He.compile(lyt),K9=I.Object({studio:I.String({minLength:1}),state_file:wo},{additionalProperties:!1}),hge=He.compile(K9),Y9=I.Object({studio:I.String({minLength:1}),stage:I.String({minLength:1}),state_file:wo},{additionalProperties:!1}),mge=He.compile(Y9),Z9=I.Object({field:I.String({minLength:1,description:"Dot-separated path (e.g. 'studio', 'providers.ticketing.type', 'providers.spec.config.space')"}),state_file:wo},{additionalProperties:!1}),gge=He.compile(Z9),J9=I.Object({field:I.String({minLength:1}),value:I.Unsafe({type:["string","array","number","boolean","null","object"],description:"New value. Must validate against the field's declared shape in settings.schema.json. Pass null to delete."}),state_file:wo},{additionalProperties:!1}),yge=He.compile(J9),X9=I.Object({studio:I.Optional(I.String({description:"Optional: filter to a specific studio"})),state_file:wo},{additionalProperties:!1}),Sge=He.compile(X9),Q9=I.Object({task:I.String({minLength:1,description:"The work to run through the stage's hat loop."}),studio:I.Optional(I.String({description:"Studio slug (e.g. `software`). Defaults to `software` when omitted and present."})),stage:I.Optional(I.String({description:"Stage within the studio (e.g. `development`). Defaults to the studio's build-class execution stage when omitted."})),state_file:wo},{additionalProperties:!1}),bge=He.compile(Q9),$9=I.Object({intent:I.Optional(I.String({description:"Optional: intent slug for context"})),state_file:wo},{additionalProperties:!1}),Ege=He.compile($9),eY=I.Object({intent:I.Optional(I.String({description:"Optional intent slug. Defaults to the sole active intent."})),stage:I.Optional(I.String({description:"Optional stage name. Defaults to the intent's active_stage."})),gate_kind:I.Optional(I.String({enum:["spec","approval"],description:"When set, opens the review pane as a workflow-bound gate session (vs. ad-hoc). 'spec' = pre-execute spec review (stamps reviews.user). 'approval' = post-execute output approval (stamps approvals.user)."})),units:I.Optional(I.Array(I.String(),{description:"Unit identifiers the user is gating. Surfaced by the cursor's user_gate action; ignored when gate_kind is unset."})),state_file:wo},{additionalProperties:!1}),_ge=He.compile(eY),tY=I.Object({action:I.Optional(I.String({enum:["list","add","review","promote"],description:"Defaults to `list`."})),description:I.Optional(I.String({description:"Description for the new backlog item (used with action=add)."})),state_file:wo},{additionalProperties:!1}),Tge=He.compile(tY),nY=I.Object({action:I.Optional(I.String({enum:["list","plant","check"],description:"Defaults to `list`."})),state_file:wo},{additionalProperties:!1}),vge=He.compile(nY),rY=I.Object({version:I.Optional(I.String({description:"Optional: specific version to extract (e.g. '1.2.0')"})),state_file:wo},{additionalProperties:!1}),Rge=He.compile(rY),p0=I.Object({intent:I.String({minLength:1,description:"Intent slug"}),stage:I.String({minLength:1,description:"Stage name to reset (e.g. 'product')"})},{additionalProperties:!1}),Age=He.compile(p0),iY=I.Object({intent:I.Optional(I.String({description:"Specific intent slug to scan in cwd (skips multi-branch mode)"})),apply:I.Optional(I.Boolean()),skip_branches:I.Optional(I.Boolean()),state_file:wo},{additionalProperties:!1}),wge=He.compile(iY),sY=I.Object({intent:I.String({minLength:1,description:"Intent slug to scope the view session. The SPA will only serve files under this intent's directory."}),stage:I.Optional(I.String({description:"Optional stage name to narrow the artifact list. Defaults to the intent's active_stage when omitted."})),artifact:I.Optional(I.String({description:"Optional intent-relative path to deep-link the SPA to a single artifact file (e.g. `stages/design/artifacts/wireframe.svg`). When omitted the SPA lists every artifact in scope."})),mode:I.Optional(I.String({enum:["auto","viewer","boot"],description:"Mode preference. `auto` (default) tries boot first and falls back to viewer. `boot` forces a spawned dev server and hard-fails when no `command` is supplied and no fast-path is detected. `viewer` forces the SPA artifact-browser route."})),command:I.Optional(I.Array(I.String({minLength:1}),{minItems:1,description:'Single-process boot \u2014 explicit command argv (e.g. `["uvicorn", "app:main"]`, `["bin/dev"]`, `["go", "run", "./cmd/server"]`). Engine spawns with `PORT` + `HOST` env vars set so the dev server binds where the supervisor expects. Use this for one-process apps. For monorepos / stacks (api + frontend + db + worker), use `processes` instead.'})),cwd:I.Optional(I.String({description:"Working directory for `command`, relative to the intent dir. Defaults to the intent dir when omitted. Ignored when `processes` is supplied (each process declares its own cwd)."})),processes:I.Optional(I.Array(I.Object({name:I.String({minLength:1,pattern:"^[a-zA-Z][a-zA-Z0-9_-]*$",description:"Identifier for this process. Used to build service-discovery env vars (`<NAME>_PORT`, `<NAME>_URL`) injected into dependents, and as the `primary` selector. Lowercase letters / digits / `-` / `_`; must start with a letter."}),command:I.Array(I.String({minLength:1}),{minItems:1,description:'Argv for this process (e.g. `["npm", "run", "api"]`, `["redis-server"]`, `["docker", "compose", "up", "postgres"]`).'}),cwd:I.Optional(I.String({description:'Working directory for this process, relative to the intent dir. Defaults to the intent dir when omitted (e.g. `"backend"` for `packages/backend/` in a monorepo).'})),port_env:I.Optional(I.String({minLength:1,description:'Env-var name the engine assigns the allocated ephemeral port to. Defaults to `PORT`. Override when the process expects a different name (e.g. `"RAILS_PORT"`, `"API_PORT"`).'})),ready_url:I.Optional(I.String({description:'Optional HTTP URL the supervisor polls to confirm this process is ready before starting dependents (e.g. `"http://127.0.0.1:{port}/healthz"`). Use `{port}` as the placeholder for the allocated port. Falls back to TCP port-bind detection when omitted.'})),depends_on:I.Optional(I.Array(I.String({minLength:1}),{description:"Names of processes that must be ready before this one starts. The supervisor topologically sorts the graph and starts processes in dependency order. Each dependency's `<NAME>_PORT` and `<NAME>_URL` env vars are injected into this process's env so the runtime can do service discovery (e.g. an API depending on `db` sees `DB_PORT` + `DB_URL`)."})),no_port:I.Optional(I.Boolean({description:"Set true for processes that don't listen on a TCP port (queue workers, background daemons, schedulers). The supervisor still tracks lifecycle but skips port allocation and readiness checking."}))},{additionalProperties:!1}),{minItems:1,description:"Process group \u2014 boot multiple coordinated processes (api + frontend + db + worker etc.). The supervisor allocates an ephemeral port per process (unless `no_port`), starts them in dependency order, waits for each to be ready, and exposes `<NAME>_PORT` + `<NAME>_URL` env vars to every dependent. Killing the session kills the whole group. Mutually exclusive with `command`."})),primary:I.Optional(I.String({minLength:1,description:"Name of the process whose URL is returned as the top-level `url` field \u2014 i.e., the one Playwright drives. Required when `processes` has more than one port-bound entry. Ignored for single-process boots."})),state_file:wo},{additionalProperties:!1}),kge=He.compile(sY),oY=I.Object({session_id:I.String({minLength:1,description:"Session ID returned by `haiku_view`."}),state_file:wo},{additionalProperties:!1}),Ige=He.compile(oY)});var h0,xge,fyt=v(()=>{"use strict";Ao();Ia();h0=I.Object({intent:I.String({minLength:1,description:"Intent slug. Required."}),kind:I.String({enum:["review","approval"],description:"Which witness to stamp: `review` (PRE-execute spec audit) or `approval` (POST-execute work audit). Matches the dispatch phase your subagent ran under."}),role:I.String({minLength:1,description:"Your review role (e.g. `continuity`, `cross-stage-consistency`, `completeness`, `spec`, or a studio review-agent name). Stamps `reviews.<role>` / `approvals.<role>`."}),stage:I.String({minLength:1,description:"Stage the review/approval belongs to."})},{additionalProperties:!1}),xge=He.compile(h0)});var m0,Oge,g0,Pge,y0,Nge,S0,Cge,pyt=v(()=>{"use strict";Ao();Ia();m0=I.Object({intent:I.String({minLength:1,description:"Intent slug. Required."}),options:I.Optional(I.Array(I.String(),{description:"Studio names to present in the picker. Empty/omitted = every available studio. Single element = auto-select without prompting."}))},{additionalProperties:!1}),Oge=He.compile(m0),g0=I.Object({intent:I.String({minLength:1,description:"Intent slug. Required."}),options:I.Optional(I.Array(I.String(),{description:"Mode names to present in the picker (continuous, discrete, autopilot, quick). Empty/omitted = every mode valid for the intent's current state. Single element = auto-select without prompting."}))},{additionalProperties:!1}),Pge=He.compile(g0),y0=I.Object({intent:I.String({minLength:1,description:"Intent slug. Required."}),options:I.Optional(I.Array(I.String(),{description:"Stage name to auto-select (zero or one element \u2014 quick mode is single-stage by definition)."}))},{additionalProperties:!1}),Nge=He.compile(y0),S0=I.Object({intent:I.String({minLength:1,description:"Intent slug. Required."}),stage:I.String({minLength:1,description:"Name of the optional stage to drop. Must be the intent's active stage and not yet started."})},{additionalProperties:!1}),Cge=He.compile(S0)});var hyt,b0,Mge,E0,Dge,_0,Lge,aY,Uge,cY,Fge,T0,jge,myt=v(()=>{"use strict";Ao();Ia();hyt=I.Optional(I.String()),b0=I.Object({intent:I.String({minLength:1,description:"Intent slug"}),stage:I.String({minLength:1,description:"Stage name"}),body:I.String({minLength:1,description:"Markdown body of the captured conversation. Should summarize what the agent proposed, what the user clarified, and the final agreement. Anchored on specific intent content."})},{additionalProperties:!1}),Mge=He.compile(b0),E0=I.Object({intent:I.String({minLength:1,description:"Intent slug"}),stage:I.String({minLength:1,description:"Stage name"}),nonce:I.String({minLength:1,description:"Verifier nonce minted by the cursor when emitting the `elaborate_review` action. Surfaced on the action payload as `verifier_nonce`. Single-use: consumed by the seal tool on success."}),notes:I.Optional(I.String({description:"Optional verifier notes recorded as the seal's rationale. Stored on FM as `verified_notes`."}))},{additionalProperties:!1}),Dge=He.compile(E0),_0=I.Object({intent:I.String({minLength:1,description:"Intent slug"}),stage:I.String({minLength:1,description:"Stage name"}),nonce:I.String({minLength:1,description:"Verifier nonce minted by the cursor when emitting the `decompose_review` action. Surfaced on the action payload as `verifier_nonce`. Single-use: consumed by the seal tool on success."}),notes:I.Optional(I.String({description:"Optional verifier notes recorded as the seal's rationale. Stored on FM as `decompose_verified_notes`."}))},{additionalProperties:!1}),Lge=He.compile(_0),aY=I.Object({intent:I.String({minLength:1}),stage:I.String({minLength:1}),field:I.String({minLength:1}),state_file:hyt},{additionalProperties:!1}),Uge=He.compile(aY),cY=I.Object({intent:I.String({minLength:1}),stage:I.String({minLength:1}),field:I.String({minLength:1}),value:I.Unsafe({type:["string","array","number","boolean","null","object"],description:"New value. Must match the field's declared type."}),state_file:hyt},{additionalProperties:!1}),Fge=He.compile(cY),T0=I.Object({intent:I.String({minLength:1,description:"Intent slug"}),nonce:I.String({minLength:1,description:"Verifier nonce minted by the cursor when emitting the pre-intent `elaborate_review` action. Surfaced on the action payload as `verifier_nonce`. Single-use: consumed by the seal tool on success."}),notes:I.Optional(I.String({description:"Optional verifier notes recorded on intent FM as `verified_notes`."}))},{additionalProperties:!1}),jge=He.compile(T0)});var uY,Hge,lY,qge,dY,Bge,fY,zge,pY,Gge,hY,Vge,mY,Wge,gyt=v(()=>{"use strict";Ao();Ia();uY=I.Object({studio:I.String({minLength:1,description:"Studio name"}),stage:I.String({minLength:1,description:"Stage name"}),hat:I.String({minLength:1,description:"Hat name"}),fix:I.Optional(I.Boolean({description:"When true, resolve the fix-loop-scoped mandate (stages/<stage>/fix-hats/<hat>.md, falling back to the production hats/<hat>.md when absent). Use ONLY from fix-loop dispatches; omit for production hat work."}))},{additionalProperties:!1}),Hge=He.compile(uY),lY=I.Object({studio:I.String({minLength:1,description:"Studio name"}),stage:I.String({minLength:1,description:"Stage name"})},{additionalProperties:!1}),qge=He.compile(lY),dY=I.Object({intent:I.String({minLength:1,description:"Intent slug"})},{additionalProperties:!1}),Bge=He.compile(dY),fY=I.Object({studio:I.String({minLength:1,description:"Studio name"}),stage:I.Optional(I.String({minLength:1,description:"Stage name for a stage-scope review/approval agent. OMIT for an intent-completion review agent (resolved from the studio's intent-review-agents/)."})),role:I.String({minLength:1,description:"Review-agent role name"})},{additionalProperties:!1}),zge=He.compile(fY),pY=I.Object({studio:I.String({minLength:1,description:"Studio name"}),stage:I.String({minLength:1,description:"Stage name"}),template:I.String({minLength:1,description:"Discovery template name (no .md extension)"})},{additionalProperties:!1}),Gge=He.compile(pY),hY=I.Object({studio:I.String({minLength:1,description:"Studio name"}),stage:I.String({minLength:1,description:"Stage name"}),phase:I.String({minLength:1,description:"Phase name (e.g. ELABORATION). Case-insensitive \u2014 resolved as phases/<PHASE>.md."})},{additionalProperties:!1}),Vge=He.compile(hY),mY=I.Object({studio:I.String({minLength:1,description:"Studio name"}),stage:I.String({minLength:1,description:"Stage name"}),name:I.String({minLength:1,description:"Output template name (no .md extension)"})},{additionalProperties:!1}),Wge=He.compile(mY)});var gY,Cb,yY,Kge,SY,Yge,bY,Zge,Jge,EY,Xge,_Y,Qge,TY,$ge,vY,eye,RY,tye,AY,nye,v0,rye,yyt=v(()=>{"use strict";Ao();Ia();gY={intent:I.String({minLength:1,description:"Intent slug"}),stage:I.String({minLength:1,description:"Stage name"}),unit:I.String({minLength:1,description:"Unit name (no .md extension). Convention: `unit-NNN-slug` (3-digit zero-pad, max 999). Legacy 2-digit names (`unit-01-foo`) still resolve via numeric-prefix matching \u2014 pass either width and the engine matches by `(number, slug)` parts."})},Cb=I.Optional(I.String()),yY=I.Object({...gY,field:I.String({minLength:1,description:"Frontmatter field name. Must be agent-authorable per UNIT_FRONTMATTER_SCHEMA."}),value:I.Unsafe({type:["string","array","number","boolean","null","object"],description:"The field's new value. MUST match the field's declared type in UNIT_FRONTMATTER_SCHEMA \u2014 pass an array for array-typed fields, a string for string-typed, etc. Native types only; stringified JSON is rejected."}),state_file:Cb},{additionalProperties:!1}),Kge=He.compile(yY),SY=I.Object({...gY,field:I.String({minLength:1,description:"Frontmatter field to read. Agent-authorable/corrective fields only (quality_gates, outputs, inputs, depends_on, model, closes, title, description). FSM-driven fields (iterations, reviews, approvals, started_at) return `unit_field_engine_only`."})},{additionalProperties:!1}),Yge=He.compile(SY),bY=I.Object({intent:I.String({minLength:1}),stage:I.String({minLength:1}),state_file:Cb},{additionalProperties:!1}),Zge=He.compile(bY),Jge=I.Optional(I.String({description:"Stage the unit lives on. OPTIONAL \u2014 when omitted, the handler resolves it from on-disk layout. Pass it through from the cursor's dispatched action to make this call race-safe against concurrent run_next calls that may switch the working tree."})),EY=I.Object({intent:I.String({minLength:1}),unit:I.String({minLength:1}),stage:Jge,state_file:Cb},{additionalProperties:!1}),Xge=He.compile(EY),_Y=I.Object({intent:I.String({minLength:1}),unit:I.String({minLength:1}),stage:Jge,message:I.String({minLength:1,description:"REQUIRED handoff message \u2014 the baton you pass to the next hat. State what you did, what you concluded, and what the next hat needs to know to pick up cleanly (decisions made, open questions, where you left off). Recorded on this iteration and embedded in the next hat's dispatch. Not a status line \u2014 write it for the hat that reads it next."}),state_file:Cb},{additionalProperties:!1}),Qge=He.compile(_Y),TY=I.Object({intent:I.String({minLength:1}),unit:I.String({minLength:1}),stage:Jge,message:I.String({minLength:1,description:"REQUIRED handoff message \u2014 the baton back to the hat that gets re-run. Explain why the current hat's output was rejected AND what must change to pass (e.g. 'touch targets <44px on mobile \u2014 bump to 44px min and re-check the nav row'). Recorded on this iteration and embedded in the re-dispatched hat's instruction."}),state_file:Cb},{additionalProperties:!1}),$ge=He.compile(TY),vY=I.Object({...gY,state_file:Cb},{additionalProperties:!1}),eye=He.compile(vY),RY=I.Object({...gY,state_file:Cb},{additionalProperties:!1}),tye=He.compile(RY),AY=I.Object({intent:I.String({minLength:1}),stage:I.String({minLength:1}),unit:I.String({minLength:1,description:"Unit name without `.md` extension, e.g. `unit-001-foo`. Convention: `unit-NNN-slug` with 3-digit zero-padded number (max 999). Legacy 2-digit names (`unit-01-foo`) still resolve via numeric-prefix matching."}),body:I.String({description:"Full markdown body of the unit. Must be substantive (no placeholders like TBD, TODO, '...')."}),frontmatter:I.Optional(I.Object({},{additionalProperties:!0})),state_file:Cb},{additionalProperties:!1}),nye=He.compile(AY),v0=I.Object({intent:I.String({minLength:1,description:"Intent slug"}),stage:I.String({minLength:1,description:"Stage the unit lives in"}),unit:I.String({minLength:1,description:"Unit to reset (e.g. 'unit-06-pii-masking-granularity')"})},{additionalProperties:!1}),rye=He.compile(v0)});var iye,S4n,wY,b4n,qL,R0,E4n,XT,QT,kY,sye=v(()=>{"use strict";Ao();Ia();Gme();iye=["plugin_version","started_at","approvals","sealed_at","mode","stages","archived","archived_at","draft_pr_url","draft_pr_status","draft_pr_ready_at","verified_at","verified_notes"],S4n=["draft","ready","failed"],wY=["continuous","discrete","autopilot","discrete-hybrid","quick"],b4n=I.Record(I.String(),I.Union([zme,I.Null()])),qL=I.Object({title:I.Optional(I.String({minLength:1})),description:I.Optional(I.String()),mode:I.Optional(I.String({enum:[...wY]})),studio:I.Optional(I.String()),studio_candidates:I.Optional(I.Array(I.String())),follows:I.Optional(I.String()),clarifications:I.Optional(I.Record(I.String(),I.Unknown())),draft_pr_url:I.Optional(I.String()),draft_pr_status:I.Optional(I.String({enum:[...S4n]})),draft_pr_ready_at:I.Optional(I.String()),verified_at:I.Optional(I.String()),verified_notes:I.Optional(I.String()),external_refs:I.Optional(I.Record(I.String(),I.String()))},{propertyNames:{not:{enum:[...iye]}},additionalProperties:!0}),R0=He.compile(qL),E4n=new Set(iye),XT=Object.keys(qL.properties??{}).filter(e=>!E4n.has(e)),QT=iye,kY=["studio","plugin_version","follows"]});var _4n,Syt=v(()=>{"use strict";Ao();_4n=I.Object({hat:I.String({minLength:1,description:"Hat name (e.g. `researcher`, `distiller`, `verifier`, `feedback-assessor`). Must match a hat declared in the studio's stage hat sequence (or `fix_hats:` for feedback iterations)."}),started_at:I.String({description:"ISO 8601 timestamp when this hat dispatch began. Set when the iteration is appended."}),completed_at:I.Union([I.String(),I.Null()],{description:"ISO 8601 timestamp when this hat's terminal advance/reject landed. Null while the hat is in flight."}),result:I.Union([I.Literal("advance"),I.Literal("reject"),I.Null()],{description:"Outcome of this hat. `advance` = move to next hat (or close on terminal hat). `reject` = loop back to previous hat. Null while in flight."}),reason:I.Optional(I.Union([I.String(),I.Null()],{description:"Optional reason for the result. Required on `reject` (caller must explain what went wrong) and optional on `advance`."}))},{additionalProperties:!1})});var oye,aye,byt=v(()=>{"use strict";Ao();oye=I.Object({error:I.String({description:"Stable named error code."}),message:I.String({description:"Human-readable remediation guidance."})},{additionalProperties:!0}),aye=I.Object({ok:I.Literal(!0),message:I.String()},{additionalProperties:!0})});var IY,cye,Eyt=v(()=>{"use strict";Ao();IY=I.Object({stage:I.Optional(I.String()),status:I.Optional(I.String({enum:["pending","active","completed","blocked"]})),phase:I.Optional(I.String({enum:["","elaborate","execute","review","gate"]})),started_at:I.Optional(I.Union([I.String(),I.Null()])),completed_at:I.Optional(I.Union([I.String(),I.Null()])),gate_entered_at:I.Optional(I.Union([I.String(),I.Null()])),gate_outcome:I.Optional(I.Union([I.String(),I.Null()])),visits:I.Optional(I.Integer({minimum:0})),iterations:I.Optional(I.Array(I.Unknown())),elaboration_turns:I.Optional(I.Integer({minimum:0})),decision_log:I.Optional(I.Array(I.Unknown()))},{additionalProperties:!0}),cye=Object.keys(IY.properties??{})});var Tyt,_yt,$T,Ng,Mb,Jf,vyt=v(()=>{"use strict";Ao();Ia();Tyt=["started_at","iterations","reviews","approvals","quality_gates_env_blocked"],_yt="^[^\\s:,]+(?:/[^\\s:,]+)*$",$T=I.Object({title:I.Optional(I.String({minLength:1,description:"Unit title \u2014 non-empty string. Defaults to first H1 in the body, or to the unit name."})),description:I.Optional(I.String({description:"Optional unit description."})),depends_on:I.Optional(I.Array(I.String(),{description:"Names of sibling units in the SAME stage that must complete before this one. Each entry must resolve to an actual sibling. No self-reference. No cycles. (Cross-sibling and cycle checks are runtime \u2014 they need the full stage DAG, not expressible in this schema.)"})),inputs:I.Optional(I.Array(I.String({pattern:_yt}),{description:"Cross-stage inputs this unit reads \u2014 paths to artifacts produced by prior stages. Each entry MUST be a file/dir path (no whitespace, no colons or commas, no prose)."})),outputs:I.Optional(I.Array(I.String({pattern:_yt}),{description:"Artifacts this unit produces. Each entry MUST be a real file path (no whitespace, no colons or commas, no prose) \u2014 the gate verifies the path exists on disk at unit completion. Use `inputs:` if you mean to declare what the unit READS; use the body's `## Completion Criteria` section if you mean to declare prose-style success conditions."})),quality_gates:I.Optional(I.Array(I.Object({name:I.String(),command:I.String(),dir:I.Optional(I.String())}),{description:"Build-class only: list of `{name, command, dir?}` executable gate objects. Run at terminal advance_hat time; non-zero exit blocks. Prose strings are silently skipped \u2014 they give no enforcement."})),model:I.Optional(I.String({enum:["haiku","sonnet","opus"],description:"Subagent tier for this unit's hats. `haiku` = mechanical, `sonnet` = standard (default), `opus` = deep reasoning. Cascade: unit > hat > stage > studio."})),closes:I.Optional(I.Array(I.String(),{description:"On revisit iterations, list of FB IDs this unit addresses (e.g. `[FB-01, FB-03]`). Informational \u2014 feedback closure happens via the FB's own iterations + targets.invalidates, not via this field."})),applicable_skills:I.Optional(I.Array(I.String(),{description:"Skill slugs (slash-command names without the leading `/`) identified as relevant for this unit during elaboration. The elaborator populates this from the installed skill registry. Hat subagent prompts surface these automatically so subagents know which skills to reach for."})),external_refs:I.Optional(I.Record(I.String(),I.String(),{description:"External-system references for this unit (e.g. `ticket: PROJ-123`, `design_ref: figma://...`). Populated by the agent when a workflow or source provider is active. Engine doesn't interpret values \u2014 they're the durable handle between H\xB7AI\xB7K\xB7U and the external system. (2026-05-19, provider-injection wave.)"}))},{propertyNames:{not:{enum:[...Tyt]}},additionalProperties:!0}),Ng=He.compile($T),Mb=Object.keys($T.properties??{}),Jf=Tyt});var ji=v(()=>{"use strict";Gme();iyt();syt();oyt();ayt();cyt();uyt();dyt();fyt();pyt();myt();gyt();yyt();sye();Syt();byt();Eyt();vyt()});var wyt={};Ar(wyt,{DIR_INVENTORY_SKIP:()=>PY,bodyMatchesStoredHash:()=>BL,bodySha256:()=>Cg,buildApprovalRecord:()=>Bd,buildOutputWitnesses:()=>R4n,buildReviewRecord:()=>Cl,fileSha256:()=>A0,isTextBodyExtension:()=>OY,normalizeInputPath:()=>zL,outputSha256:()=>Db,resolveInputWitnesses:()=>NY});import{createHash as xY}from"node:crypto";import{existsSync as ev,readdirSync as T4n,readFileSync as uye,statSync as Ryt}from"node:fs";import{join as tv}from"node:path";function Cg(e){if(!ev(e))return"";let t=uye(e,"utf8"),n=t;try{n=(0,lye.default)(t).content}catch{n=t}return n.endsWith(`
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 `),n=e.group.kind==="input_deletion"||e.currentSha===null?`**File**: \`${e.group.file}\` (no longer present on disk)`:`**File**: \`${e.group.file}\``,r=e.currentSha?`**Current SHA**: \`${e.currentSha}\``:"",i=`**Witnessed at**: ${e.group.since}`;return`_Engine-authored drift FB. The premise that ${e.group.slots.length} signed slot(s) depended on has shifted. Read the file at the path below and classify._
 
 ${n}
@@ -653,47 +652,47 @@ Read the file body and the slots' specs, decide cosmetic vs material, and **reco
 - **Cosmetic** \u2014 the premise shifted but the consumers' reasoning is unaffected (e.g., whitespace, comments, doc reword that doesn't change the contract). Put WHY it's cosmetic in your advance \`message\`, then advance the hat. Closure is a no-op; the witnesses are already current.
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Original: "${b}"`}),E=!0}if(g.field==="created"&&l.created&&!l.created_at&&(l.created_at=l.created,delete l.created,i.push({intent:t,field:"created",description:"Renamed legacy `created` to `created_at`"}),E=!0,f=!0),g.field==="created_at"&&!l.created&&!l.created_at){let S=v4n(r);l.created_at=S?S.mtime.toISOString():new Date().toISOString(),i.push({intent:t,field:"created_at",description:"Added `created_at` from file mtime"}),E=!0,f=!0}if(g.field==="mode"&&!l.mode&&(l.mode="continuous",i.push({intent:t,field:"mode",description:"Defaulted `mode` to 'continuous'"}),E=!0,f=!0),g.field==="stages"&&g.message.startsWith("Stages don't match")){let S=g.fix.match(/Expected: \[([^\]]+)\]/);if(S){let b=S[1].split(",").map(_=>_.trim()).filter(Boolean);b.length>0&&(l.stages=b,i.push({intent:t,field:"stages",description:`Updated stages to match studio definition: [${b.join(", ")}]`}),E=!0,f=!0)}}if(g.field==="created_at"&&g.message.includes("git history")){let S=g.fix.match(/'([^']+)' \(from git/);S&&(l.created_at=S[1],i.push({intent:t,field:"created_at",description:`Updated created_at to '${S[1]}' from git history`}),E=!0,f=!0)}if(g.field==="started_at"&&g.fix.includes("from git")){let S=g.fix.match(/'([^']+)' \(from git/);S&&(l.started_at=S[1],i.push({intent:t,field:"started_at",description:`Updated started_at to '${S[1]}' from git history`}),E=!0,f=!0)}E||p.push(g)}f&&In(r,Nt.default.stringify(d,l));let h=ne(e,t,"stages");if(ue(h))for(let g of an(h,{withFileTypes:!0})){if(!g.isDirectory())continue;let E=ne(h,g.name,"units");if(ue(E))for(let S of an(E,{withFileTypes:!0})){if(!(S.isFile()&&S.name.endsWith(".md")))continue;let b=ne(E,S.name),_=Ne(b,"utf8"),T=(0,Nt.default)(_);if("type"in T.data){let{type:A,...R}=T.data;In(b,Nt.default.stringify(T.content,R)),i.push({intent:t,field:`stages/${g.name}/units/${S.name}:type`,description:"Removed deprecated `type` field from unit"})}}}let m=[],y=/^stages\/([^/]+)\/units\/([^/]+):inputs$/;for(let g of p){let E=g.field.match(y);if(!(E&&g.message.includes("Unit has no `inputs:`"))||typeof g.fix!="string"){m.push(g);continue}let S=E[1],b=E[2],_=ne(e,t,"stages",S,"units",b);if(!ue(_)){m.push(g);continue}let T=[],A=g.fix.match(/upstream paths:\s*(.+?)\s*$/);if(A)T=A[1].split(",").map(N=>N.trim()).filter(Boolean);else{let N=["intent.md"],P=ne(e,t,"knowledge");if(ue(P))for(let C of an(P))C.endsWith(".md")&&N.push(`knowledge/${C}`);T=N}if(T.length===0){m.push(g);continue}let R=Ne(_,"utf8"),x=(0,Nt.default)(R);(x.data.inputs||[]).length>0||(x.data.inputs=T,In(_,Nt.default.stringify(x.content,x.data)),i.push({intent:t,field:g.field,description:`Linked ${T.length} input(s): ${T.join(", ")}`}))}return{applied:i,remaining:m}}function v4n(e){try{return WSt(e)}catch{return null}}function A4n(e,t){if(!Re())return null;try{let r=Na("git",["log","--diff-filter=A","--follow","--format=%aI","--",e],{encoding:"utf8",timeout:5e3,stdio:["pipe","pipe","pipe"],...t?{cwd:t}:{}}).trim().split(`
-`).filter(Boolean);return r.length>0?r[r.length-1]:null}catch{return null}}function ZSt(e){let t=new Map,n=nn(),r=[ne(e,"studios"),ne(n,"studios")];for(let i of r)if(ue(i))for(let s of an(i,{withFileTypes:!0})){if(!s.isDirectory()||t.has(s.name))continue;let o=ne(i,s.name,"STUDIO.md");if(!ue(o))continue;let{data:a}=re(Ne(o,"utf8")),c=Array.isArray(a.stages)?a.stages:[];t.set(s.name,c)}return{studioMap:t,searchPaths:r}}function rY(e,t,n,r){let i=ne(e,t,"intent.md");if(!ue(i))return[];let s=Ne(i,"utf8"),{data:o}=re(s),a=[],{removed:c}=fg(s);if(c.length>0&&a.push({intent:t,field:"intent.md:frontmatter-duplicate-keys",severity:"warning",message:`Duplicate frontmatter keys: ${c.join(", ")}`,fix:"Rewrite frontmatter with duplicate keys removed (last value wins)"}),!o.title||typeof o.title=="string"&&o.title.trim()==="")a.push({intent:t,field:"title",severity:"error",message:"Missing title field",fix:"Add `title` field with a short one-line name (\u226480 chars)"});else if(typeof o.title=="string"&&i1(o.title)){let d=o.title,f=/\n/.test(d)?"title contains newlines":`title is ${d.length} chars (max ${Vye})`;a.push({intent:t,field:"title",severity:"error",message:`Title should be a short one-liner \u2014 ${f}`,fix:"Rewrite `title` as a crisp 3\u20138 word summary (\u226480 chars, single line, no trailing period). 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Available: ${f}`})}let l=o.stages;if(!Array.isArray(l)||l.length===0)if(u&&n.has(u)){let d=n.get(u)?.join(", ");a.push({intent:t,field:"stages",severity:"error",message:"Missing or empty stages array",fix:`Set \`stages\` to match studio definition: [${d}]`})}else a.push({intent:t,field:"stages",severity:"error",message:"Missing or empty stages array",fix:"Set `stages` to match studio definition"});if(Array.isArray(l)&&l.length>0&&u){let d=n.get(u);if(d){let f=l;JSON.stringify(d)!==JSON.stringify(f)&&a.push({intent:t,field:"stages",severity:"warning",message:"Stages don't match studio definition",fix:`Stages don't match studio definition. Expected: [${d.join(", ")}], got: [${f.join(", ")}]`})}}if(o.mode||a.push({intent:t,field:"mode",severity:"error",message:"Missing mode field",fix:"Run `haiku_run_next { intent: <slug> }` \u2014 the cursor will emit `select_mode` and the engine surfaces the picker. (Auto-apply defaults to 'continuous' as a recovery fallback for corrupted intents.)"}),o.created&&!o.created_at&&a.push({intent:t,field:"created",severity:"warning",message:"Legacy `created` field found",fix:"Rename `created` to `created_at`"}),o.created||o.created_at||a.push({intent:t,field:"created_at",severity:"warning",message:"Missing created_at field",fix:"Add `created_at` with an ISO date"}),Array.isArray(l))for(let d of l){let f=ne(e,t,"stages",d,"units");if(!ue(f))continue;let p=[];if(u){let h=null;for(let m of r){let y=ne(m,u,"stages",d,"STAGE.md");if(!ue(y))continue;let{data:g}=re(Ne(y,"utf8"));Array.isArray(g.inputs)&&g.inputs.length>0&&(h=g.inputs);break}if(h){let m=ne(e,t);for(let y of h)for(let g of r)for(let E of["discovery","outputs"]){let S=ne(g,u,"stages",y.stage,E);if(ue(S))for(let b of an(S).filter(_=>_.endsWith(".md"))){let _=Ne(ne(S,b),"utf8"),{data:T}=re(_),A=T.name||b.replace(/\.md$/,""),R=E==="outputs"?y.output:y.discovery;if(A!==R)continue;let x=T.location||"";if(!x)continue;let k=x.replace(/^\.haiku\/intents\/\{intent-slug\}\//,""),N=ne(m,k);ue(N)&&p.push(k)}}}}for(let h of an(f,{withFileTypes:!0})){if(!(h.isFile()&&h.name.endsWith(".md")))continue;R4n.test(h.name)||a.push({intent:t,field:`stages/${d}/units/${h.name}`,severity:"warning",message:"Unit filename doesn't match expected pattern",fix:"Rename to match pattern: unit-NNN-slug-name.md (3-digit zero-padded; legacy 2-digit also resolves)"});let m=Ne(ne(f,h.name),"utf8"),{removed:y}=fg(m);y.length>0&&a.push({intent:t,field:`stages/${d}/units/${h.name}:frontmatter-duplicate-keys`,severity:"warning",message:`Duplicate frontmatter keys in unit: ${y.join(", ")}`,fix:"Rewrite frontmatter with duplicate keys removed (last value wins)"});let{data:g}=re(m),E=typeof o.plugin_version=="string";!g.status&&!E&&a.push({intent:t,field:`stages/${d}/units/${h.name}:status`,severity:"warning",message:"Unit missing 'status' field",fix:"Add `status` field to unit frontmatter"});let S=g.status||"";if(["complete","skipped","failed"].includes(S))continue;if((g.inputs||g.refs||[]).length===0){let _=p.length>0?`Add \`inputs:\` with upstream paths: ${p.join(", ")}`:"Add `inputs:` with at minimum the intent doc and discovery docs";a.push({intent:t,field:`stages/${d}/units/${h.name}:inputs`,severity:"error",message:"Unit has no `inputs:` \u2014 execution will be blocked",fix:_})}}}if(Re()){let d=ne(e,t,"intent.md"),f=A4n(d),p=o.created_at,h=o.started_at;if(f&&p){let m=f.slice(0,10),y=typeof p=="string"?p.slice(0,10):"";m!==y&&a.push({intent:t,field:"created_at",severity:"warning",message:`created_at '${y}' doesn't match git history '${m}'`,fix:`Update created_at to '${f}' (from git first commit)`})}if(f&&h){let m=f.slice(0,10),y=typeof h=="string"?h.slice(0,10):"";m!==y&&a.push({intent:t,field:"started_at",severity:"warning",message:`started_at '${y}' doesn't match git history '${m}'`,fix:`Update started_at to '${f}' (from git first commit)`})}f&&!h&&a.push({intent:t,field:"started_at",severity:"warning",message:"Missing started_at field",fix:`Set started_at to '${f}' (from git first commit)`})}return a}function YSt(e,t,n){let r=e??ve(),i=ne(r,"intents");if(!ue(i))return{scanned:0,cleanIntents:[],issues:[],applied:[],remaining:[]};let{studioMap:s,searchPaths:o}=ZSt(r),a;if(t){if(/[/\\]|\.\./.test(t))throw new Error(`Invalid intent slug: "${t}"`);if(!ue(ne(i,t,"intent.md")))return{scanned:0,cleanIntents:[],issues:[],applied:[],remaining:[]};a=[t]}else a=an(i,{withFileTypes:!0}).filter(f=>f.isDirectory()&&ue(ne(i,f.name,"intent.md"))).map(f=>f.name);let c=[],u=[],l=[],d=[];for(let f of a){let p=rY(i,f,s,o);if(n&&p.length>0){let h=Wye(i,f,p);l.push(...h.applied),h.applied.length>0&&(p=rY(i,f,s,o))}p.length===0?u.push(f):(c.push(...p),d.push(...p))}return{scanned:a.length,cleanIntents:u,issues:c,applied:l,remaining:d}}function w4n(e,t=""){if(e.issues.length===0&&e.applied.length===0)return`${t}All intents passed validation. No repairs needed.`;let n=new Map;for(let i of e.issues){let s=n.get(i.intent)||[];s.push(i),n.set(i.intent,s)}let r=[`${t}# Intent Repair Report`,"",`Scanned ${e.scanned} intent(s). Auto-applied ${e.applied.length} fix(es). ${e.remaining.length} issue(s) remaining.`,""];if(e.applied.length>0){r.push("## Auto-Applied Fixes"),r.push("");for(let i of e.applied)r.push(`- **${i.intent}** / \`${i.field}\` \u2014 ${i.description}`);r.push("")}for(let[i,s]of n){let o=s.filter(c=>c.severity==="error").length,a=s.filter(c=>c.severity==="warning").length;r.push(`## ${i} \u2014 ${o} error(s), ${a} warning(s)`),r.push(""),r.push("| # | Severity | Field | Issue | Fix |"),r.push("|---|----------|-------|-------|-----|"),s.forEach((c,u)=>{r.push(`| ${u+1} | ${c.severity} | ${c.field} | ${c.message} | ${c.fix} |`)}),r.push("")}if(e.cleanIntents.length>0){r.push("## Intents with no issues");for(let i of e.cleanIntents)r.push(`- ${i}`);r.push("")}return e.remaining.length>0&&r.push("---","","Auto-fixes were applied for safe issues. Remaining issues need agent or user attention. For each:","1. Read the intent.md file","2. Apply the fix listed in the table above","3. After fixing, report what you changed"),r.join(`
-`)}function HSt(){if(!Re())return[];let e;try{e=Na("git",["worktree","list","--porcelain"],{encoding:"utf8",stdio:["ignore","pipe","pipe"]})}catch{return[]}let t=[],n=null;for(let r of e.split(`
-`))r.startsWith("worktree ")?(n&&t.push(n),n={path:r.slice(9).trim(),branch:null}):r.startsWith("branch ")&&n?n.branch=r.slice(7).trim():r===""&&n&&(t.push(n),n=null);return n&&t.push(n),t}function k4n(e){try{return Na("git",["-C",e,"status","--porcelain"],{encoding:"utf8",stdio:["ignore","pipe","pipe"]}).trim().length>0}catch{return!0}}function JSt(){let e={moved:[],skipped:[],cleanedSkeletons:[]};if(!Re())return e;let t=Br(),n=`${q0}.haiku${q0}worktrees${q0}`;for(let i of HSt()){let s=i.path.indexOf(n);if(s===-1||i.path.slice(0,s)===t)continue;let a=i.path.slice(s),c=t+a;if(ue(c)){e.skipped.push({path:i.path,reason:`target already exists: ${c}`});continue}if(k4n(i.path)){e.skipped.push({path:i.path,reason:"uncommitted changes \u2014 commit/stash inside the worktree, then re-run haiku_repair"});continue}try{let u=c.slice(0,c.lastIndexOf(q0));Cl(u,{recursive:!0}),Na("git",["worktree","move",i.path,c],{encoding:"utf8",stdio:["ignore","pipe","pipe"]}),e.moved.push({old:i.path,new:c,branch:i.branch??"(detached)"})}catch(u){e.skipped.push({path:i.path,reason:`git worktree move failed: ${u instanceof Error?u.message:String(u)}`})}}let r=new Set;for(let i of HSt())i.path!==t&&r.add(i.path);for(let i of r){let s=ne(i,".haiku","worktrees");if(!ue(s))continue;let o=!1;try{let a=c=>{if(!o)for(let u of an(c,{withFileTypes:!0})){let l=ne(c,u.name);if(u.isFile()||u.isSymbolicLink()){o=!0;return}u.isDirectory()&&a(l)}};a(s)}catch{o=!0}if(!o)try{Fye(s,{recursive:!0,force:!0}),e.cleanedSkeletons.push(s);let a=ne(i,".haiku");ue(a)&&an(a).length===0&&Fye(a,{recursive:!0,force:!0})}catch{}}return e}function I4n(e){if(e.moved.length===0&&e.skipped.length===0&&e.cleanedSkeletons.length===0)return"";let t=["## Worktree Migration",""];if(e.moved.length>0){t.push(`Moved ${e.moved.length} misplaced worktree(s):`);for(let n of e.moved)t.push(`- \`${n.branch}\`: ${n.old} \u2192 ${n.new}`);t.push("")}if(e.skipped.length>0){t.push(`Skipped ${e.skipped.length} worktree(s):`);for(let n of e.skipped)t.push(`- ${n.path} \u2014 ${n.reason}`);t.push("")}if(e.cleanedSkeletons.length>0){t.push(`Cleaned ${e.cleanedSkeletons.length} empty skeleton dir(s):`);for(let n of e.cleanedSkeletons)t.push(`- ${n}`);t.push("")}return t.join(`
-`)}function x4n(e){xT();let t=pc(),n=[];if(e){let s=Zfe();for(let{slug:o,branches:a}of s){let c=a.map(u=>u.replace(`haiku/${o}/`,""));try{let u=a[0],l=cpe(u,`.haiku/intents/${o}/intent.md`);if(l){let{data:d}=re(l),f=d.studio||"";if(f){let p=si(f);if(p&&p.stages.length>0){let h=p.stages;c.sort((m,y)=>{let g=h.indexOf(m),E=h.indexOf(y);return(g===-1?h.length:g)-(E===-1?h.length:E)})}}}}catch{}try{let u=ape(o,c);if(u.success)try{Na("git",["push","-u","origin",`haiku/${o}/main`],{encoding:"utf8",stdio:"pipe"})}catch{}else{let l=u.isConflict?`Merge conflict consolidating into haiku/${o}/main on ${u.conflictFiles?.length??0} file(s): ${(u.conflictFiles??[]).join(", ")}. Resolve on haiku/${o}/main, commit, then re-run /haiku:haiku-repair.`:`Failed to consolidate stage branches into haiku/${o}/main: ${u.message}`;n.push({slug:o,branch:`haiku/${o}/main`,scanned:0,applied:[],remaining:[],committed:!1,pushed:!1,merged:!1,pushError:l})}}catch(u){n.push({slug:o,branch:`haiku/${o}/main`,scanned:0,applied:[],remaining:[],committed:!1,pushed:!1,merged:!1,pushError:`Failed to create main from stage branches: ${u instanceof Error?u.message:String(u)}`})}}}let r=z3();for(let s of r){let o=`haiku/${s}/main`,a="",c={slug:s,branch:o,scanned:0,applied:[],remaining:[],committed:!1,pushed:!1,merged:!1};try{a=V3(o,"haiku-repair",!0)}catch(u){c.error=`Failed to create worktree: ${u instanceof Error?u.message:String(u)}`,n.push(c);continue}try{let u=ne(a,".haiku"),l=YSt(u,void 0,e);c.scanned=l.scanned,c.applied=l.applied,c.remaining=l.remaining;let d=ne(u,"intents",s,"intent.md");if(ue(d)&&re(Ne(d,"utf8")).data.status==="completed"&&!bl(o,t)){let p={intent:s,field:"status",severity:"error",message:`Intent marked 'completed' but branch '${o}' is not merged into '${t}'`,fix:`Either merge the branch into '${t}' or set status to 'active'`};c.remaining.push(p)}if(e&&l.applied.length>0){let f=bl(o,t),p=[`repair: auto-fix ${l.applied.length} metadata issue(s)`,"",...l.applied.map(m=>`- ${m.intent}/${m.field}: ${m.description}`)],h=K3(a,o,p.join(`
-`));if(c.committed=h.committed,c.pushed=h.pushed,c.pushError=h.pushError,h.committed&&h.pushed&&f){c.merged=!0;let m=AI(o,t,`repair: metadata fixes for ${s}`,`Auto-applied repair fixes (branch was already merged into \`${t}\`):
-
-${l.applied.map(y=>`- **${y.intent}/${y.field}**: ${y.description}`).join(`
-`)}`);m.ok?c.prUrl=m.url:c.prError=m.error}}}finally{a&&W3(a)}n.push(c)}let i=O4n(r,t,e);return{summaries:n,mainline:t,archivedSummary:i}}function O4n(e,t,n){let r=new Set(e),i=`repair/archived-intents-${Date.now()}`,s={slug:"<archived intents>",branch:i,scanned:0,applied:[],remaining:[],committed:!1,pushed:!1,merged:!1},o="";try{o=V3(t,"haiku-repair-archived",!0)}catch(a){return s.setupError=`Failed to create mainline worktree: ${a instanceof Error?a.message:String(a)}`,s}try{let a=ne(o,".haiku"),c=ne(a,"intents");if(!ue(c))return;let l=an(c,{withFileTypes:!0}).filter(p=>p.isDirectory()&&ue(ne(c,p.name,"intent.md"))).map(p=>p.name).filter(p=>!r.has(p));if(l.length===0)return;let{studioMap:d,searchPaths:f}=ZSt(a);for(let p of l){let h=rY(c,p,d,f);if(s.scanned++,n&&h.length>0){let m=Wye(c,p,h);s.applied.push(...m.applied),m.applied.length>0&&(h=rY(c,p,d,f))}h.length>0&&s.remaining.push(...h)}if(n&&s.applied.length>0){let p=[`repair: auto-fix ${s.applied.length} issue(s) in archived intent(s)`,"",...s.applied.map(m=>`- ${m.intent}/${m.field}: ${m.description}`)],h=K3(o,i,p.join(`
-`));if(s.committed=h.committed,s.pushed=h.pushed,s.pushError=h.pushError,h.committed&&h.pushed){let m=AI(i,t,"repair: metadata fixes for archived intents",`Auto-applied repair fixes for archived intents on \`${t}\`:
-
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(Auto-apply defaults to 'continuous' as a recovery fallback for corrupted intents.)"}),o.created&&!o.created_at&&a.push({intent:t,field:"created",severity:"warning",message:"Legacy `created` field found",fix:"Rename `created` to `created_at`"}),o.created||o.created_at||a.push({intent:t,field:"created_at",severity:"warning",message:"Missing created_at field",fix:"Add `created_at` with an ISO date"}),Array.isArray(l))for(let d of l){let f=ne(e,t,"stages",d,"units");if(!ue(f))continue;let p=[];if(u){let h=null;for(let m of r){let g=ne(m,u,"stages",d,"STAGE.md");if(!ue(g))continue;let{data:y}=re(Pe(g,"utf8"));Array.isArray(y.inputs)&&y.inputs.length>0&&(h=y.inputs);break}if(h){let m=ne(e,t);for(let g of h)for(let y of r)for(let b of["discovery","outputs"]){let S=ne(y,u,"stages",g.stage,b);if(ue(S))for(let E of an(S).filter(_=>_.endsWith(".md"))){let _=Pe(ne(S,E),"utf8"),{data:T}=re(_),R=T.name||E.replace(/\.md$/,""),A=b==="outputs"?g.output:g.discovery;if(R!==A)continue;let x=T.location||"";if(!x)continue;let k=x.replace(/^\.haiku\/intents\/\{intent-slug\}\//,""),P=ne(m,k);ue(P)&&p.push(k)}}}}for(let h of an(f,{withFileTypes:!0})){if(!(h.isFile()&&h.name.endsWith(".md")))continue;q3n.test(h.name)||a.push({intent:t,field:`stages/${d}/units/${h.name}`,severity:"warning",message:"Unit filename doesn't match expected pattern",fix:"Rename to match pattern: unit-NNN-slug-name.md (3-digit zero-padded; legacy 2-digit also resolves)"});let m=Pe(ne(f,h.name),"utf8"),{removed:g}=pg(m);g.length>0&&a.push({intent:t,field:`stages/${d}/units/${h.name}:frontmatter-duplicate-keys`,severity:"warning",message:`Duplicate frontmatter keys in unit: ${g.join(", ")}`,fix:"Rewrite frontmatter with duplicate keys removed (last value wins)"});let{data:y}=re(m),b=typeof o.plugin_version=="string";!y.status&&!b&&a.push({intent:t,field:`stages/${d}/units/${h.name}:status`,severity:"warning",message:"Unit missing 'status' field",fix:"Add `status` field to unit frontmatter"});let S=y.status||"";if(["complete","skipped","failed"].includes(S))continue;if((y.inputs||y.refs||[]).length===0){let _=p.length>0?`Add \`inputs:\` with upstream paths: ${p.join(", ")}`:"Add `inputs:` with at minimum the intent doc and discovery docs";a.push({intent:t,field:`stages/${d}/units/${h.name}:inputs`,severity:"error",message:"Unit has no `inputs:` \u2014 execution will be blocked",fix:_})}}}if(ve()){let d=ne(e,t,"intent.md"),f=H3n(d),p=o.created_at,h=o.started_at;if(f&&p){let m=f.slice(0,10),g=typeof p=="string"?p.slice(0,10):"";m!==g&&a.push({intent:t,field:"created_at",severity:"warning",message:`created_at '${g}' doesn't match git history '${m}'`,fix:`Update created_at to '${f}' (from git first commit)`})}if(f&&h){let m=f.slice(0,10),g=typeof h=="string"?h.slice(0,10):"";m!==g&&a.push({intent:t,field:"started_at",severity:"warning",message:`started_at '${g}' doesn't match git history '${m}'`,fix:`Update started_at to '${f}' (from git first commit)`})}f&&!h&&a.push({intent:t,field:"started_at",severity:"warning",message:"Missing started_at field",fix:`Set started_at to '${f}' (from git first commit)`})}return a}function cbt(e,t,n){let r=e??Te(),i=ne(r,"intents");if(!ue(i))return{scanned:0,cleanIntents:[],issues:[],applied:[],remaining:[]};let{studioMap:s,searchPaths:o}=abt(r),a;if(t){if(/[/\\]|\.\./.test(t))throw new Error(`Invalid intent slug: "${t}"`);if(!ue(ne(i,t,"intent.md")))return{scanned:0,cleanIntents:[],issues:[],applied:[],remaining:[]};a=[t]}else a=an(i,{withFileTypes:!0}).filter(f=>f.isDirectory()&&ue(ne(i,f.name,"intent.md"))).map(f=>f.name);let c=[],u=[],l=[],d=[];for(let f of a){let p=yZ(i,f,s,o);if(n&&p.length>0){let h=rSe(i,f,p);l.push(...h.applied),h.applied.length>0&&(p=yZ(i,f,s,o))}p.length===0?u.push(f):(c.push(...p),d.push(...p))}return{scanned:a.length,cleanIntents:u,issues:c,applied:l,remaining:d}}function B3n(e,t=""){if(e.issues.length===0&&e.applied.length===0)return`${t}All intents passed validation. No repairs needed.`;let n=new Map;for(let i of e.issues){let s=n.get(i.intent)||[];s.push(i),n.set(i.intent,s)}let r=[`${t}# Intent Repair Report`,"",`Scanned ${e.scanned} intent(s). Auto-applied ${e.applied.length} fix(es). ${e.remaining.length} issue(s) remaining.`,""];if(e.applied.length>0){r.push("## Auto-Applied Fixes"),r.push("");for(let i of e.applied)r.push(`- **${i.intent}** / \`${i.field}\` \u2014 ${i.description}`);r.push("")}for(let[i,s]of n){let o=s.filter(c=>c.severity==="error").length,a=s.filter(c=>c.severity==="warning").length;r.push(`## ${i} \u2014 ${o} error(s), ${a} warning(s)`),r.push(""),r.push("| # | Severity | Field | Issue | Fix |"),r.push("|---|----------|-------|-------|-----|"),s.forEach((c,u)=>{r.push(`| ${u+1} | ${c.severity} | ${c.field} | ${c.message} | ${c.fix} |`)}),r.push("")}if(e.cleanIntents.length>0){r.push("## Intents with no issues");for(let i of e.cleanIntents)r.push(`- ${i}`);r.push("")}return e.remaining.length>0&&r.push("---","","Auto-fixes were applied for safe issues. Remaining issues need agent or user attention. For each:","1. Read the intent.md file","2. Apply the fix listed in the table above","3. After fixing, report what you changed"),r.join(`
+`)}function $St(){if(!ve())return[];let e;try{e=Na("git",["worktree","list","--porcelain"],{encoding:"utf8",stdio:["ignore","pipe","pipe"]})}catch{return[]}let t=[],n=null;for(let r of e.split(`
+`))r.startsWith("worktree ")?(n&&t.push(n),n={path:r.slice(9).trim(),branch:null}):r.startsWith("branch ")&&n?n.branch=r.slice(7).trim():r===""&&n&&(t.push(n),n=null);return n&&t.push(n),t}function z3n(e){try{return Na("git",["-C",e,"status","--porcelain"],{encoding:"utf8",stdio:["ignore","pipe","pipe"]}).trim().length>0}catch{return!0}}function ubt(){let e={moved:[],skipped:[],cleanedSkeletons:[]};if(!ve())return e;let t=Br(),n=`${G0}.haiku${G0}worktrees${G0}`;for(let i of $St()){let s=i.path.indexOf(n);if(s===-1||i.path.slice(0,s)===t)continue;let a=i.path.slice(s),c=t+a;if(ue(c)){e.skipped.push({path:i.path,reason:`target already exists: ${c}`});continue}if(z3n(i.path)){e.skipped.push({path:i.path,reason:"uncommitted changes \u2014 commit/stash inside the worktree, then re-run haiku_repair"});continue}try{let u=c.slice(0,c.lastIndexOf(G0));Dl(u,{recursive:!0}),Na("git",["worktree","move",i.path,c],{encoding:"utf8",stdio:["ignore","pipe","pipe"]}),e.moved.push({old:i.path,new:c,branch:i.branch??"(detached)"})}catch(u){e.skipped.push({path:i.path,reason:`git worktree move failed: ${u instanceof Error?u.message:String(u)}`})}}let r=new Set;for(let i of $St())i.path!==t&&r.add(i.path);for(let i of r){let s=ne(i,".haiku","worktrees");if(!ue(s))continue;let o=!1;try{let a=c=>{if(!o)for(let u of an(c,{withFileTypes:!0})){let l=ne(c,u.name);if(u.isFile()||u.isSymbolicLink()){o=!0;return}u.isDirectory()&&a(l)}};a(s)}catch{o=!0}if(!o)try{Zye(s,{recursive:!0,force:!0}),e.cleanedSkeletons.push(s);let a=ne(i,".haiku");ue(a)&&an(a).length===0&&Zye(a,{recursive:!0,force:!0})}catch{}}return e}function G3n(e){if(e.moved.length===0&&e.skipped.length===0&&e.cleanedSkeletons.length===0)return"";let t=["## Worktree Migration",""];if(e.moved.length>0){t.push(`Moved ${e.moved.length} misplaced worktree(s):`);for(let n of e.moved)t.push(`- \`${n.branch}\`: ${n.old} \u2192 ${n.new}`);t.push("")}if(e.skipped.length>0){t.push(`Skipped ${e.skipped.length} worktree(s):`);for(let n of e.skipped)t.push(`- ${n.path} \u2014 ${n.reason}`);t.push("")}if(e.cleanedSkeletons.length>0){t.push(`Cleaned ${e.cleanedSkeletons.length} empty skeleton dir(s):`);for(let n of e.cleanedSkeletons)t.push(`- ${n}`);t.push("")}return t.join(`
+`)}function V3n(e){PT();let t=Zo(),n=[];if(e){let s=ape();for(let{slug:o,branches:a}of s){let c=a.map(u=>u.replace(`haiku/${o}/`,""));try{let u=a[0],l=_pe(u,`.haiku/intents/${o}/intent.md`);if(l){let{data:d}=re(l),f=d.studio||"";if(f){let p=si(f);if(p&&p.stages.length>0){let h=p.stages;c.sort((m,g)=>{let y=h.indexOf(m),b=h.indexOf(g);return(y===-1?h.length:y)-(b===-1?h.length:b)})}}}}catch{}try{let u=Epe(o,c);if(u.success)try{Na("git",["push","-u","origin",`haiku/${o}/main`],{encoding:"utf8",stdio:"pipe"})}catch{}else{let l=u.isConflict?`Merge conflict consolidating into haiku/${o}/main on ${u.conflictFiles?.length??0} file(s): ${(u.conflictFiles??[]).join(", ")}. Resolve on haiku/${o}/main, commit, then re-run /haiku:haiku-repair.`:`Failed to consolidate stage branches into haiku/${o}/main: ${u.message}`;n.push({slug:o,branch:`haiku/${o}/main`,scanned:0,applied:[],remaining:[],committed:!1,pushed:!1,merged:!1,pushError:l})}}catch(u){n.push({slug:o,branch:`haiku/${o}/main`,scanned:0,applied:[],remaining:[],committed:!1,pushed:!1,merged:!1,pushError:`Failed to create main from stage branches: ${u instanceof Error?u.message:String(u)}`})}}}let r=n3();for(let s of r){let o=`haiku/${s}/main`,a="",c={slug:s,branch:o,scanned:0,applied:[],remaining:[],committed:!1,pushed:!1,merged:!1};try{a=r3(o,"haiku-repair",!0)}catch(u){c.error=`Failed to create worktree: ${u instanceof Error?u.message:String(u)}`,n.push(c);continue}try{let u=ne(a,".haiku"),l=cbt(u,void 0,e);c.scanned=l.scanned,c.applied=l.applied,c.remaining=l.remaining;let d=ne(u,"intents",s,"intent.md");if(ue(d)&&re(Pe(d,"utf8")).data.status==="completed"&&!Zc(o,t)){let p={intent:s,field:"status",severity:"error",message:`Intent marked 'completed' but branch '${o}' is not merged into '${t}'`,fix:`Either merge the branch into '${t}' or set status to 'active'`};c.remaining.push(p)}if(e&&l.applied.length>0){let f=Zc(o,t),p=[`repair: auto-fix ${l.applied.length} metadata issue(s)`,"",...l.applied.map(m=>`- ${m.intent}/${m.field}: ${m.description}`)],h=s3(a,o,p.join(`
+`));if(c.committed=h.committed,c.pushed=h.pushed,c.pushError=h.pushError,h.committed&&h.pushed&&f){c.merged=!0;let m=wI(o,t,`repair: metadata fixes for ${s}`,`Auto-applied repair fixes (branch was already merged into \`${t}\`):
+
+${l.applied.map(g=>`- **${g.intent}/${g.field}**: ${g.description}`).join(`
+`)}`);m.ok?c.prUrl=m.url:c.prError=m.error}}}finally{a&&i3(a)}n.push(c)}let i=W3n(r,t,e);return{summaries:n,mainline:t,archivedSummary:i}}function W3n(e,t,n){let r=new Set(e),i=`repair/archived-intents-${Date.now()}`,s={slug:"<archived intents>",branch:i,scanned:0,applied:[],remaining:[],committed:!1,pushed:!1,merged:!1},o="";try{o=r3(t,"haiku-repair-archived",!0)}catch(a){return s.setupError=`Failed to create mainline worktree: ${a instanceof Error?a.message:String(a)}`,s}try{let a=ne(o,".haiku"),c=ne(a,"intents");if(!ue(c))return;let l=an(c,{withFileTypes:!0}).filter(p=>p.isDirectory()&&ue(ne(c,p.name,"intent.md"))).map(p=>p.name).filter(p=>!r.has(p));if(l.length===0)return;let{studioMap:d,searchPaths:f}=abt(a);for(let p of l){let h=yZ(c,p,d,f);if(s.scanned++,n&&h.length>0){let m=rSe(c,p,h);s.applied.push(...m.applied),m.applied.length>0&&(h=yZ(c,p,d,f))}h.length>0&&s.remaining.push(...h)}if(n&&s.applied.length>0){let p=[`repair: auto-fix ${s.applied.length} issue(s) in archived intent(s)`,"",...s.applied.map(m=>`- ${m.intent}/${m.field}: ${m.description}`)],h=s3(o,i,p.join(`
+`));if(s.committed=h.committed,s.pushed=h.pushed,s.pushError=h.pushError,h.committed&&h.pushed){let m=wI(i,t,"repair: metadata fixes for archived intents",`Auto-applied repair fixes for archived intents on \`${t}\`:
+
+${s.applied.map(g=>`- **${g.intent}/${g.field}**: ${g.description}`).join(`
+`)}`);m.ok?s.prUrl=m.url:s.prError=m.error}}}finally{o&&i3(o)}if(s.scanned>0||s.setupError)return s}function K3n(e,t,n){if(e.length===0&&!n)return"No intent branches or archived intents found in this repository.";let r=["# Multi-Branch Repair Report","",`Scanned ${e.length} intent branch(es). Mainline: \`${t}\`.`,""],i=e.reduce((l,d)=>l+d.applied.length,0)+(n?.applied.length??0),s=e.reduce((l,d)=>l+d.remaining.length,0)+(n?.remaining.length??0),o=e.filter(l=>l.pushed).length+(n?.pushed?1:0),a=e.filter(l=>l.prUrl).length,c=n?.prUrl?1:0,u=a>0&&c>0?`${a} PR(s) for already-merged branches + 1 PR for archived intents`:a>0?`${a} PR(s) opened for already-merged branches`:c>0?"1 PR opened for archived intents":"no PRs opened";r.push(`**Summary:** ${i} fix(es) auto-applied across ${o} branch(es); ${u}; ${s} issue(s) still need attention.`),r.push("");for(let l of e){if(r.push(`## \`${l.branch}\``),r.push(""),r.push(`- Scanned: ${l.scanned} intent(s)`),r.push(`- Auto-applied: ${l.applied.length}`),r.push(`- Remaining: ${l.remaining.length}`),l.committed&&l.pushed?r.push(`- Committed and pushed to \`origin/${l.branch}\``):l.committed?r.push(`- Committed locally; push failed: ${l.pushError||"unknown"}`):l.error?r.push(`- Error: ${l.error}`):l.pushError&&r.push(`- Push error: ${l.pushError}`),l.merged&&l.prUrl?r.push(`- Branch already merged into \`${t}\` \u2014 opened PR/MR: ${l.prUrl}`):l.merged&&l.prError&&r.push(`- Branch already merged into \`${t}\` \u2014 failed to open PR: ${l.prError}`),l.applied.length>0){r.push(""),r.push("**Fixes applied:**");for(let d of l.applied)r.push(`- ${d.intent}/${d.field}: ${d.description}`)}if(l.remaining.length>0){r.push(""),r.push("**Remaining issues (need agent attention):**");for(let d of l.remaining)r.push(`- **${d.intent}**/${d.field} (${d.severity}): ${d.message} \u2192 ${d.fix}`)}r.push("")}if(n){if(r.push("## Archived intents (mainline only)"),r.push(""),n.setupError)return r.push(`- **Mainline worktree setup failed:** ${n.setupError}`),r.push("- No archived intents were scanned. Fix the underlying git/filesystem issue and re-run `/repair`."),r.push(""),r.join(`
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-`)}function Br(){let e=process.cwd();if($L!==null&&$L.cwd===e)return $L.root;if(!Re())return $L={cwd:e,root:e},e;let t;try{let n=Na("git",["rev-parse","--git-common-dir"],{encoding:"utf8",stdio:["ignore","pipe","pipe"]}).trim();if(!n)t=e;else{let r=n.startsWith("/")?n:$f(e,n);t=$f(r,"..")}}catch{t=e}return $L={cwd:e,root:t},t}function Kye(e,t){let n=ve(),r=ne(n,"intents",e,"intent.md");function i(f){if(!ue(f))return[];let p=Ne(f,"utf8"),{data:h}=re(p),m=h.quality_gates;return Array.isArray(m)?m:[]}let s=i(r),o=i(t),a=[...s,...o];if(a.length===0)return null;let c=process.cwd();try{c=zh("git rev-parse --show-toplevel",{encoding:"utf8"}).trim()}catch{}let u=[];for(let f=0;f<a.length;f++){let p=a[f],h=p.name??`gate-${f}`,m=p.command??"";if(!m)continue;let y=p.dir?$f(c,p.dir):c,g=Number.parseInt(process.env.HAIKU_GATE_TIMEOUT_MS??"",10)||12e4;try{zh(m,{cwd:y,encoding:"utf8",timeout:g,stdio:["pipe","pipe","pipe"]})}catch(E){let S=E;u.push({name:h,command:m,exit_code:S.status??1,output:((S.stdout??"")+(S.stderr??"")).slice(0,500)})}}if(u.length===0)return null;let l=P4n(e),d=P3(u,{requiredTools:l});return d.environment?{error:"quality_gate_environment_unavailable",message:`Quality gate(s) could not run against a live environment: ${d.reason}. This is NOT a code defect and re-running won't fix it. Bring the required service(s) up (best-effort: a declared \`.haiku/boot.md\` service via the available tool), then re-run the gate. If you can't bring it up, escalate to the user \u2014 do NOT advance, since a gate that didn't run verified nothing.
+`)}function Br(){let e=process.cwd();if(d1!==null&&d1.cwd===e)return d1.root;if(!ve())return d1={cwd:e,root:e},e;let t;try{let n=Na("git",["rev-parse","--git-common-dir"],{encoding:"utf8",stdio:["ignore","pipe","pipe"]}).trim();if(!n)t=e;else{let r=n.startsWith("/")?n:tp(e,n);t=tp(r,"..")}}catch{t=e}return d1={cwd:e,root:t},t}function iSe(e,t){let n=Te(),r=ne(n,"intents",e,"intent.md");function i(f){if(!ue(f))return[];let p=Pe(f,"utf8"),{data:h}=re(p),m=h.quality_gates;return Array.isArray(m)?m:[]}let s=i(r),o=i(t),a=[...s,...o];if(a.length===0)return null;let c=process.cwd();try{c=Vh("git rev-parse --show-toplevel",{encoding:"utf8"}).trim()}catch{}let u=[];for(let f=0;f<a.length;f++){let p=a[f],h=p.name??`gate-${f}`,m=p.command??"";if(!m)continue;let g=p.dir?tp(c,p.dir):c,y=Number.parseInt(process.env.HAIKU_GATE_TIMEOUT_MS??"",10)||12e4;try{Vh(m,{cwd:g,encoding:"utf8",timeout:y,stdio:["pipe","pipe","pipe"]})}catch(b){let S=b;u.push({name:h,command:m,exit_code:S.status??1,output:((S.stdout??"")+(S.stderr??"")).slice(0,500)})}}if(u.length===0)return null;let l=Y3n(e),d=VK(u,{requiredTools:l});return d.environment?{error:"quality_gate_environment_unavailable",message:`Quality gate(s) could not run against a live environment: ${d.reason}. This is NOT a code defect and re-running won't fix it. Bring the required service(s) up (best-effort: a declared \`.haiku/boot.md\` service via the available tool), then re-run the gate. If you can't bring it up, escalate to the user \u2014 do NOT advance, since a gate that didn't run verified nothing.
 ${u.map(f=>`- ${f.name}: '${f.command}' exited ${f.exit_code}${f.output?`: ${f.output}`:""}`).join(`
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-`)}function hZn(e){if(e.length===0)return null;if(e.includes("development"))return"development";let t=/research|design|discovery|inception|ideation|plan/i;for(let n=e.length-1;n>=0;n--)if(!t.test(e[n]))return e[n];return e[e.length-1]}function mZn(e){let t=e.task,n=bI(),r=Array.from(new Set(n.flatMap(y=>[y.slug,...y.aliases]))).sort(),i=si("software");if(e.studio){let y=si(e.studio);if(!y)return{error:"zap_studio_not_found",valid_studios:r,message:`Studio '${e.studio}' not found. Valid studios: ${r.join(", ")}. Ask the user to pick one and call haiku_zap again with that studio.`};i=y}if(!i)return{error:"zap_studio_not_found",valid_studios:r,message:`No studio specified and no 'software' studio is available. Valid studios: ${r.join(", ")}. Ask the user to pick one and call haiku_zap again with that studio.`};let s=i.slug,o=i.dir,a=i.stages,c;if(e.stage){if(!a.includes(e.stage))return{error:"zap_stage_not_found",studio:s,valid_stages:a,message:`Stage '${e.stage}' not found in studio '${s}'. Valid stages: ${a.join(", ")}. Ask the user to pick one and call haiku_zap again with that stage.`};c=e.stage}else{let y=hZn(a);if(!y)return{error:"zap_stage_not_found",studio:s,valid_stages:a,message:`Studio '${s}' declares no stages. Cannot zap. Pick a different studio.`};c=y}let u=$i(o,c);if(!u)return{error:"zap_stage_not_found",studio:s,valid_stages:a,message:`Stage '${c}' is listed for studio '${s}' but its STAGE.md could not be read. Pick a different stage.`};let l=u.body.trim(),d=Array.isArray(u.data.hats)?u.data.hats:[];if(d.length===0)return{error:"zap_stage_not_found",studio:s,valid_stages:a,message:`Stage '${c}' in studio '${s}' declares no hats \u2014 nothing to run. Pick a different stage.`};let f=Pu(o,c),p=d.length,h=d.map((y,g)=>fZn(y,g,p)),m=[];m.push("# Zap \u2014 stateless single-task hat loop"),m.push(""),m.push(`Resolved studio **${s}**, stage **${c}**. This is a zap run: no intent file, no unit decomposition, no workflow tick, no \`haiku_*\` tool calls inside the hats. Work directly on the repo. Follow this procedure verbatim \u2014 you are the sequential loop driver.`),m.push(""),m.push("## Hat sequence (run in this order)"),m.push("");for(let y=0;y<d.length;y++)m.push(`${y+1}. **${d[y]}** \u2014 ${h[y]} role`);m.push(""),m.push("## Operating procedure"),m.push(""),m.push("### 0. Preflight \u2014 clean working tree"),m.push(""),m.push("Run `git status --porcelain`. If the working tree has uncommitted changes (staged or unstaged), STOP and ask the user via `AskUserQuestion` with options:"),m.push('- `["Commit/stash my changes first, then re-run zap", "Proceed anyway (zap may sweep my unrelated changes into its commit)"]`'),m.push(""),m.push("If the user picks the first option: acknowledge and stop \u2014 don't commit/stash for them. If they pick the second: continue, but record the pre-existing dirty paths so each hat is told to leave them alone. If the tree is clean, continue."),m.push(""),m.push("### 1. Scope check"),m.push(""),m.push('If the task spans multiple stages (e.g. "redesign the auth flow AND implement the backend AND write the tests"), recommend `/haiku:haiku-quick` or `/haiku:haiku-start` and explain why instead of zapping it through one stage\'s hat loop. If the task is vague (no clear action/target, under one sentence), ask ONE focused `AskUserQuestion` with pre-populated options \u2014 do NOT run a full elaboration.'),m.push(""),m.push("### 2. Run the hat loop"),m.push(""),m.push("Initialize a retry counter at 0. Spawn each hat below as a SEQUENTIAL subagent (Task tool) \u2014 wait for each to return before spawning the next. Pass each hat's returned output verbatim into the next hat's prompt where the template marks it. The per-hat subagent prompts are pre-assembled below."),m.push(""),m.push("### 3. Handle the verifier verdict"),m.push(""),m.push("Parse the verifier's FIRST line for `PASS` or `FAIL` (anchored to the start, followed by ` \u2014 `)."),m.push(""),m.push("**On PASS:** read the `Files:` block, stage exactly those paths with `git add <path1> <path2> ...` (NEVER `git add -A`/`git add .` \u2014 that sweeps in pre-existing dirty paths), commit with a brief message derived from the task + verifier summary, then report files committed + commands run + the verifier's PASS line."),m.push(""),m.push('**On FAIL:** surface the reason. If the retry counter is **< 2**, ask via `AskUserQuestion` (options `["Retry the hat loop with this failure as context", "Abandon \u2014 I\'ll fix it manually"]`). On retry: increment the counter, leave the working tree untouched (prior uncommitted changes carry forward), and re-run from step 2 prepending a `## Prior failure context: <FAIL reason>` block to the task. If the counter is **2 or more**, do NOT offer retry \u2014 tell the user zap isn\'t converging (two retries used, 3 total attempts), suggest discarding via `git restore .` and bailing to `/haiku:haiku-start`, then stop. On abandon: leave changes in place and stop.'),m.push(""),m.push('**If a hat subagent errors out** (no output / throws / crashes): treat it as a `FAIL` with reason `"<hat> subagent errored: <error>"` and route through the FAIL path above. Don\'t silently retry.'),m.push(""),m.push("## Commit safety"),m.push(""),m.push("Only YOU (the parent) commit, only after verifier PASS, only the exact files the verifier listed. No hat commits. Stateless \u2014 no `.haiku/` files are written; if the user needs formal traceability, suggest `/haiku:haiku-quick`."),m.push(""),m.push("---"),m.push(""),m.push("## Per-hat subagent prompts"),m.push(""),m.push("Spawn each block below as its own subagent, in order. Fill the `<INPUT FROM PRIOR HAT>` slot with the prior hat's verbatim output (omit the section for the first hat). Prepend a `## Prior failure context` block to the task on a retry. Prepend a `## Pre-existing uncommitted changes (do NOT modify)` block listing the preflight dirty paths if the user opted to proceed dirty."),m.push("");for(let y=0;y<d.length;y++){let g=d[y],E=h[y],S=f[g],b=S?S.content.trim():"",_=dE(o,c,g);m.push(`### Hat ${y+1}/${p}: ${g} (${E} role)`),m.push(""),S||(m.push(`> WARNING: no mandate file resolved for hat \`${g}\` in \`${s}/${c}\`. The hat is listed on STAGE.md but no \`hats/${g}.md\` exists in any cascade tier. Run the hat with role instructions only, or fix the stage definition.`),m.push("")),m.push("```"),m.push(`You are executing a zap task as the **${g}** hat (${E} role) in stage **${c}** of studio **${s}**.`),m.push(""),m.push("This is a zap run \u2014 no workflow engine, no unit files, no haiku_* tool calls. Work directly on the repo."),m.push(""),m.push("## Stage scope"),m.push(""),m.push(l||"(STAGE.md body was empty)"),m.push(""),m.push(`## Your mandate: ${g}`),m.push(""),m.push(b||`(No mandate body for ${g}${_?` at ${_}`:""} \u2014 follow the role instructions below.)`),m.push(""),m.push("Note: this mandate was written for the workflow-engine context. Where it references units, feedback files, or haiku_* tools, translate that as: work directly on the repo, return your output as plain text to the parent. Do NOT call any haiku_* tools."),m.push(""),m.push("## Task"),m.push(""),m.push(t),m.push(""),y>0&&(m.push(`## Input from prior hat (${d[y-1]})`),m.push(""),m.push("<INPUT FROM PRIOR HAT>"),m.push("")),m.push("## Instructions"),m.push(""),m.push(pZn(E)),m.push("```"),m.push("")}return{message:m.join(`
-`),studio:s,stage:c}}function cSe(e,t){let n=o=>({content:[{type:"text",text:o}]}),r=(o,a)=>({content:[{type:"text",text:JSON.stringify(o,null,2)}],structuredContent:o,...a?.isError?{isError:!0}:{}}),i=t._session_context;i?.CLAUDE_SESSION_ID&&Sft(i.CLAUDE_SESSION_ID);let s=wD(t);if(s)return s;switch(e){case"haiku_intent_get":{let o=Be(t,Xme,"haiku_intent_get");if(o)return o;let a=ne(pe(t.slug),"intent.md");if(!ue(a))return r({found:!1,field:t.field,value:null});let{data:c}=re(Ne(a,"utf8")),u=c[t.field];return r({found:u!=null,field:t.field,value:u??null})}case"haiku_intent_list":{let o=Be(t,Qme,"haiku_intent_list");if(o)return o;let a=ve(),c=ne(a,"intents");if(!ue(c))return n("[]");let u=t.include_archived===!0,l=Ug(c,{includeArchived:u}),d=gv(),f=l.map(({slug:p,data:h})=>{let m=h.studio||"",y=typeof h.sealed_at=="string"&&h.sealed_at.length>0,g=m?ai(p,m):null,E=y||g===null?"completed":"active",S={slug:p,studio:h.studio,status:E,active_stage:g??""};return u&&(S.archived=h.archived===!0),d&&d.slug===p&&(S.current_branch=!0,d.stage&&(S.current_branch_stage=d.stage)),S});return r({intents:f})}case"haiku_stage_get":{let o=Be(t,kge,"haiku_stage_get");if(o)return o;let a=t.intent,c=t.stage,u=t.field,l=ne(pe(a),"intent.md"),d=ue(l)?re(Ne(l,"utf8")).data:{},f=d.studio||"",p=typeof d.mode=="string"&&d.mode.length>0?d.mode:"continuous",h=hv({slug:a,studio:f,stage:c,intentDir:pe(a),intentMode:p}),m={stage:h.stage,status:h.status,phase:h.phase??"",started_at:h.started_at,completed_at:h.completed_at,gate_outcome:h.gate_outcome,visits:h.visits},y=Object.hasOwn(m,u)?m[u]:null;return r({found:y!=null,field:u,value:y??null})}case"haiku_unit_get":{let o=Be(t,Fge,"haiku_unit_get");if(o)return o;let a=t.field;if(Zf.includes(a))return r({error:"unit_field_engine_only",field:a,message:`Field '${a}' is workflow-driven (engine bookkeeping) and is not agent-readable. Engine-only fields: [${Zf.join(", ")}]. Readable corrective/authorable fields: [${NE.join(", ")}]. For the unit body/title use haiku_unit_read.`},{isError:!0});let c=Oa(t.intent,t.stage,t.unit);if(!ue(c))return r({error:"unit_not_found",field:a,message:`Unit '${t.unit}' not found at stage '${t.stage}' of intent '${t.intent}'.`},{isError:!0});let{data:u}=re(Ne(c,"utf8")),l=u[a];return r({ok:!0,field:a,found:l!=null,value:l??null})}case"haiku_unit_set":{let o=Be(t,Uge,"haiku_unit_set");if(o)return o;let a=t.field,c=t.value,u=pE();if(!u&&Zf.includes(a))return r({error:"fsm_field_forbidden",field:a,message:`Field '${a}' is workflow-driven \u2014 set automatically by haiku_unit_advance_hat / haiku_unit_reject_hat / haiku_unit_increment_bolt. Agents must not set it directly. Forbidden fields: [${Zf.join(", ")}].`},{isError:!0});let l=$o(t.intent,t.stage);if(l)return l;let d=Oa(t.intent,t.stage,t.unit);if(ue(d)){let{data:p}=re(Ne(d,"utf8")),h=B0(p);if(!u&&!(a==="outputs"||a==="quality_gates")&&(h==="active"||h==="completed"))return r({error:"lifecycle_violation",current_status:h,field:a,message:`Cannot set field '${a}' on unit '${t.unit}' \u2014 status is '${h}'. Per the forward-only lifecycle rule (architecture \xA71.3), units become immutable once they enter active or completed status. Pending units only. (\`outputs\` and \`quality_gates\` are exempt \u2014 see haiku_unit_set handler comments.)`},{isError:!0})}let f=QT.properties[a];if(f?.type){let p=Array.isArray(f.type)?f.type:[f.type],h=Array.isArray(c)?"array":c===null?"null":typeof c;if(!p.includes(h)){let y=p.length===1?p[0]:`one of [${p.join(", ")}]`;return r({error:"field_type_mismatch",field:a,expected_type:p.length===1?p[0]:p,received_type:h,message:`Field '${a}' expects ${y}, got ${h}. Pass a native ${y} value \u2014 JSON-stringified values are not accepted (they corrupt the YAML output). Example for array fields: \`value: ["intent.md", "knowledge/DISCOVERY.md"]\`.`},{isError:!0})}let m={[a]:c};if(!Ng(m)){let y=(Ng.errors||[]).filter(g=>g.instancePath===`/${a}`||g.instancePath.startsWith(`/${a}/`));if(y.length>0)return r({error:"field_value_invalid",field:a,errors:y,message:`Field '${a}' value failed schema validation: ${He.errorsText(y)}.`},{isError:!0})}}return De(d,a,c),n("ok")}case"haiku_unit_list":{let o=Be(t,jge,"haiku_unit_list");if(o)return o;let a=$o(t.intent,t.stage);if(a)return a;let c=ne(ar(t.intent,t.stage),"units");if(!ue(c))return r({units:[]});let l=an(c).filter(d=>d.endsWith(".md")).map(d=>{let{data:f}=re(Ne(ne(c,d),"utf8"));return{name:d.replace(".md",""),status:f.status,bolt:f.bolt,hat:f.hat,model:f.model??null}});return r({units:l})}case"haiku_unit_start":{let o=Be(t,qge,"haiku_unit_start");if(o)return o;let a=nY(t.intent,t.unit),c=t.stage||a?.stage||t1(t.intent);if(!c)return r({error:"no_active_stage",message:"No active stage found for this intent. Call haiku_run_next first."},{isError:!0});let u=$o(t.intent,c);if(u)return u;let l=Oa(t.intent,c,t.unit);if(ue(l)){let{data:y}=re(Ne(l,"utf8")),g=typeof y.started_at=="string"&&y.started_at.length>0,E=Array.isArray(y.iterations)?y.iterations:[],S=E.length>0?E[E.length-1]:null,b=S!==null&&(S.result==="advance"||S.result==="closed");if(g&&!b){if(E.length===1&&S!==null&&(S.result===null||S.result===void 0)&&typeof S.dispatched_at=="string"&&S.dispatched_at.length>0){let R=X9(t.intent,c);return n(R?`ok (already started by the engine)
+`)}function O9n(e){if(e.length===0)return null;if(e.includes("development"))return"development";let t=/research|design|discovery|inception|ideation|plan/i;for(let n=e.length-1;n>=0;n--)if(!t.test(e[n]))return e[n];return e[e.length-1]}function P9n(e){let t=e.task,n=TI(),r=Array.from(new Set(n.flatMap(g=>[g.slug,...g.aliases]))).sort(),i=si("software");if(e.studio){let g=si(e.studio);if(!g)return{error:"zap_studio_not_found",valid_studios:r,message:`Studio '${e.studio}' not found. Valid studios: ${r.join(", ")}. Ask the user to pick one and call haiku_zap again with that studio.`};i=g}if(!i)return{error:"zap_studio_not_found",valid_studios:r,message:`No studio specified and no 'software' studio is available. Valid studios: ${r.join(", ")}. Ask the user to pick one and call haiku_zap again with that studio.`};let s=i.slug,o=i.dir,a=i.stages,c;if(e.stage){if(!a.includes(e.stage))return{error:"zap_stage_not_found",studio:s,valid_stages:a,message:`Stage '${e.stage}' not found in studio '${s}'. Valid stages: ${a.join(", ")}. Ask the user to pick one and call haiku_zap again with that stage.`};c=e.stage}else{let g=O9n(a);if(!g)return{error:"zap_stage_not_found",studio:s,valid_stages:a,message:`Studio '${s}' declares no stages. Cannot zap. Pick a different studio.`};c=g}let u=$i(o,c);if(!u)return{error:"zap_stage_not_found",studio:s,valid_stages:a,message:`Stage '${c}' is listed for studio '${s}' but its STAGE.md could not be read. Pick a different stage.`};let l=u.body.trim(),d=Array.isArray(u.data.hats)?u.data.hats:[];if(d.length===0)return{error:"zap_stage_not_found",studio:s,valid_stages:a,message:`Stage '${c}' in studio '${s}' declares no hats \u2014 nothing to run. Pick a different stage.`};let f=Du(o,c),p=d.length,h=d.map((g,y)=>I9n(g,y,p)),m=[];m.push("# Zap \u2014 stateless single-task hat loop"),m.push(""),m.push(`Resolved studio **${s}**, stage **${c}**. This is a zap run: no intent file, no unit decomposition, no workflow tick, no \`haiku_*\` tool calls inside the hats. Work directly on the repo. Follow this procedure verbatim \u2014 you are the sequential loop driver.`),m.push(""),m.push("## Hat sequence (run in this order)"),m.push("");for(let g=0;g<d.length;g++)m.push(`${g+1}. **${d[g]}** \u2014 ${h[g]} role`);m.push(""),m.push("## Operating procedure"),m.push(""),m.push("### 0. Preflight \u2014 clean working tree"),m.push(""),m.push("Run `git status --porcelain`. If the working tree has uncommitted changes (staged or unstaged), STOP and ask the user via `AskUserQuestion` with options:"),m.push('- `["Commit/stash my changes first, then re-run zap", "Proceed anyway (zap may sweep my unrelated changes into its commit)"]`'),m.push(""),m.push("If the user picks the first option: acknowledge and stop \u2014 don't commit/stash for them. If they pick the second: continue, but record the pre-existing dirty paths so each hat is told to leave them alone. If the tree is clean, continue."),m.push(""),m.push("### 1. Scope check"),m.push(""),m.push('If the task spans multiple stages (e.g. "redesign the auth flow AND implement the backend AND write the tests"), recommend `/haiku:haiku-quick` or `/haiku:haiku-start` and explain why instead of zapping it through one stage\'s hat loop. If the task is vague (no clear action/target, under one sentence), ask ONE focused `AskUserQuestion` with pre-populated options \u2014 do NOT run a full elaboration.'),m.push(""),m.push("### 2. Run the hat loop"),m.push(""),m.push("Initialize a retry counter at 0. Spawn each hat below as a SEQUENTIAL subagent (Task tool) \u2014 wait for each to return before spawning the next. Pass each hat's returned output verbatim into the next hat's prompt where the template marks it. The per-hat subagent prompts are pre-assembled below."),m.push(""),m.push("### 3. Handle the verifier verdict"),m.push(""),m.push("Parse the verifier's FIRST line for `PASS` or `FAIL` (anchored to the start, followed by ` \u2014 `)."),m.push(""),m.push("**On PASS:** read the `Files:` block, stage exactly those paths with `git add <path1> <path2> ...` (NEVER `git add -A`/`git add .` \u2014 that sweeps in pre-existing dirty paths), commit with a brief message derived from the task + verifier summary, then report files committed + commands run + the verifier's PASS line."),m.push(""),m.push('**On FAIL:** surface the reason. If the retry counter is **< 2**, ask via `AskUserQuestion` (options `["Retry the hat loop with this failure as context", "Abandon \u2014 I\'ll fix it manually"]`). On retry: increment the counter, leave the working tree untouched (prior uncommitted changes carry forward), and re-run from step 2 prepending a `## Prior failure context: <FAIL reason>` block to the task. If the counter is **2 or more**, do NOT offer retry \u2014 tell the user zap isn\'t converging (two retries used, 3 total attempts), suggest discarding via `git restore .` and bailing to `/haiku:haiku-start`, then stop. On abandon: leave changes in place and stop.'),m.push(""),m.push('**If a hat subagent errors out** (no output / throws / crashes): treat it as a `FAIL` with reason `"<hat> subagent errored: <error>"` and route through the FAIL path above. Don\'t silently retry.'),m.push(""),m.push("## Commit safety"),m.push(""),m.push("Only YOU (the parent) commit, only after verifier PASS, only the exact files the verifier listed. No hat commits. Stateless \u2014 no `.haiku/` files are written; if the user needs formal traceability, suggest `/haiku:haiku-quick`."),m.push(""),m.push("---"),m.push(""),m.push("## Per-hat subagent prompts"),m.push(""),m.push("Spawn each block below as its own subagent, in order. Fill the `<INPUT FROM PRIOR HAT>` slot with the prior hat's verbatim output (omit the section for the first hat). Prepend a `## Prior failure context` block to the task on a retry. Prepend a `## Pre-existing uncommitted changes (do NOT modify)` block listing the preflight dirty paths if the user opted to proceed dirty."),m.push("");for(let g=0;g<d.length;g++){let y=d[g],b=h[g],S=f[y],E=S?S.content.trim():"",_=pb(o,c,y);m.push(`### Hat ${g+1}/${p}: ${y} (${b} role)`),m.push(""),S||(m.push(`> WARNING: no mandate file resolved for hat \`${y}\` in \`${s}/${c}\`. The hat is listed on STAGE.md but no \`hats/${y}.md\` exists in any cascade tier. Run the hat with role instructions only, or fix the stage definition.`),m.push("")),m.push("```"),m.push(`You are executing a zap task as the **${y}** hat (${b} role) in stage **${c}** of studio **${s}**.`),m.push(""),m.push("This is a zap run \u2014 no workflow engine, no unit files, no haiku_* tool calls. Work directly on the repo."),m.push(""),m.push("## Stage scope"),m.push(""),m.push(l||"(STAGE.md body was empty)"),m.push(""),m.push(`## Your mandate: ${y}`),m.push(""),m.push(E||`(No mandate body for ${y}${_?` at ${_}`:""} \u2014 follow the role instructions below.)`),m.push(""),m.push("Note: this mandate was written for the workflow-engine context. Where it references units, feedback files, or haiku_* tools, translate that as: work directly on the repo, return your output as plain text to the parent. Do NOT call any haiku_* tools."),m.push(""),m.push("## Task"),m.push(""),m.push(t),m.push(""),g>0&&(m.push(`## Input from prior hat (${d[g-1]})`),m.push(""),m.push("<INPUT FROM PRIOR HAT>"),m.push("")),m.push("## Instructions"),m.push(""),m.push(x9n(b)),m.push("```"),m.push("")}return{message:m.join(`
+`),studio:s,stage:c}}function bSe(e,t){let n=o=>({content:[{type:"text",text:o}]}),r=(o,a)=>({content:[{type:"text",text:JSON.stringify(o,null,2)}],structuredContent:o,...a?.isError?{isError:!0}:{}}),i=t._session_context;i?.CLAUDE_SESSION_ID&&Oft(i.CLAUDE_SESSION_ID);let s=CD(t);if(s)return s;switch(e){case"haiku_intent_get":{let o=Be(t,age,"haiku_intent_get");if(o)return o;let a=ne(pe(t.slug),"intent.md");if(!ue(a))return r({found:!1,field:t.field,value:null});let{data:c}=re(Pe(a,"utf8")),u=c[t.field];return r({found:u!=null,field:t.field,value:u??null})}case"haiku_intent_list":{let o=Be(t,cge,"haiku_intent_list");if(o)return o;let a=Te(),c=ne(a,"intents");if(!ue(c))return n("[]");let u=t.include_archived===!0,l=Fg(c,{includeArchived:u}),d=yv(),f=l.map(({slug:p,data:h})=>{let m=h.studio||"",g=typeof h.sealed_at=="string"&&h.sealed_at.length>0,y=m?ai(p,m):null,b;g||y===null?b=GL(p,{localOnly:!0})?"pending_seal":"completed":b="active";let S={slug:p,studio:h.studio,status:b,active_stage:y??""};return u&&(S.archived=h.archived===!0),d&&d.slug===p&&(S.current_branch=!0,d.stage&&(S.current_branch_stage=d.stage)),S});return r({intents:f})}case"haiku_stage_get":{let o=Be(t,Uge,"haiku_stage_get");if(o)return o;let a=t.intent,c=t.stage,u=t.field,l=ne(pe(a),"intent.md"),d=ue(l)?re(Pe(l,"utf8")).data:{},f=d.studio||"",p=typeof d.mode=="string"&&d.mode.length>0?d.mode:"continuous",h=mv({slug:a,studio:f,stage:c,intentDir:pe(a),intentMode:p}),m={stage:h.stage,status:h.status,phase:h.phase??"",started_at:h.started_at,completed_at:h.completed_at,gate_outcome:h.gate_outcome,visits:h.visits},g=Object.hasOwn(m,u)?m[u]:null;return r({found:g!=null,field:u,value:g??null})}case"haiku_unit_get":{let o=Be(t,Yge,"haiku_unit_get");if(o)return o;let a=t.field;if(Jf.includes(a))return r({error:"unit_field_engine_only",field:a,message:`Field '${a}' is workflow-driven (engine bookkeeping) and is not agent-readable. Engine-only fields: [${Jf.join(", ")}]. Readable corrective/authorable fields: [${Mb.join(", ")}]. For the unit body/title use haiku_unit_read.`},{isError:!0});let c=Pa(t.intent,t.stage,t.unit);if(!ue(c))return r({error:"unit_not_found",field:a,message:`Unit '${t.unit}' not found at stage '${t.stage}' of intent '${t.intent}'.`},{isError:!0});let{data:u}=re(Pe(c,"utf8")),l=u[a];return r({ok:!0,field:a,found:l!=null,value:l??null})}case"haiku_unit_set":{let o=Be(t,Kge,"haiku_unit_set");if(o)return o;let a=t.field,c=t.value,u=mb();if(!u&&Jf.includes(a))return r({error:"fsm_field_forbidden",field:a,message:`Field '${a}' is workflow-driven \u2014 set automatically by haiku_unit_advance_hat / haiku_unit_reject_hat / haiku_unit_increment_bolt. Agents must not set it directly. Forbidden fields: [${Jf.join(", ")}].`},{isError:!0});let l=ea(t.intent,t.stage);if(l)return l;let d=Pa(t.intent,t.stage,t.unit);if(ue(d)){let{data:p}=re(Pe(d,"utf8")),h=V0(p);if(!u&&!(a==="outputs"||a==="quality_gates")&&(h==="active"||h==="completed"))return r({error:"lifecycle_violation",current_status:h,field:a,message:`Cannot set field '${a}' on unit '${t.unit}' \u2014 status is '${h}'. Per the forward-only lifecycle rule (architecture \xA71.3), units become immutable once they enter active or completed status. Pending units only. (\`outputs\` and \`quality_gates\` are exempt \u2014 see haiku_unit_set handler comments.)`},{isError:!0})}let f=$T.properties[a];if(f?.type){let p=Array.isArray(f.type)?f.type:[f.type],h=Array.isArray(c)?"array":c===null?"null":typeof c;if(!p.includes(h)){let g=p.length===1?p[0]:`one of [${p.join(", ")}]`;return r({error:"field_type_mismatch",field:a,expected_type:p.length===1?p[0]:p,received_type:h,message:`Field '${a}' expects ${g}, got ${h}. Pass a native ${g} value \u2014 JSON-stringified values are not accepted (they corrupt the YAML output). Example for array fields: \`value: ["intent.md", "knowledge/DISCOVERY.md"]\`.`},{isError:!0})}let m={[a]:c};if(!Ng(m)){let g=(Ng.errors||[]).filter(y=>y.instancePath===`/${a}`||y.instancePath.startsWith(`/${a}/`));if(g.length>0)return r({error:"field_value_invalid",field:a,errors:g,message:`Field '${a}' value failed schema validation: ${He.errorsText(g)}.`},{isError:!0})}}return Me(d,a,c),n("ok")}case"haiku_unit_list":{let o=Be(t,Zge,"haiku_unit_list");if(o)return o;let a=ea(t.intent,t.stage);if(a)return a;let c=ne(ar(t.intent,t.stage),"units");if(!ue(c))return r({units:[]});let l=an(c).filter(d=>d.endsWith(".md")).map(d=>{let{data:f}=re(Pe(ne(c,d),"utf8"));return{name:d.replace(".md",""),status:f.status,bolt:f.bolt,hat:f.hat,model:f.model??null}});return r({units:l})}case"haiku_unit_start":{let o=Be(t,Xge,"haiku_unit_start");if(o)return o;let a=gZ(t.intent,t.unit),c=t.stage||a?.stage||p1(t.intent);if(!c)return r({error:"no_active_stage",message:"No active stage found for this intent. Call haiku_run_next first."},{isError:!0});let u=ea(t.intent,c);if(u)return u;let l=Pa(t.intent,c,t.unit);if(ue(l)){let{data:g}=re(Pe(l,"utf8")),y=typeof g.started_at=="string"&&g.started_at.length>0,b=Array.isArray(g.iterations)?g.iterations:[],S=b.length>0?b[b.length-1]:null,E=S!==null&&(S.result==="advance"||S.result==="closed");if(y&&!E){if(b.length===1&&S!==null&&(S.result===null||S.result===void 0)&&typeof S.dispatched_at=="string"&&S.dispatched_at.length>0){let A=dZ(t.intent,c);return n(A?`ok (already started by the engine)
 
-${R}`:"ok (already started by the engine)")}let T=X9(t.intent,c),A=S!==null&&typeof S.hat=="string"?S.hat:"";return r({error:"unit_already_active",unit:t.unit,hat:A,scope:T||null,message:`Unit '${t.unit}' is already active (hat: ${A||"unknown"}). Do not start it again \u2014 continue working on it or call haiku_unit_advance_hat when done.`},{isError:!0})}}{let y=re(Ne(l,"utf8")).data;if(!("inputs"in y))return r({error:"unit_inputs_not_declared",unit:t.unit,stage:c,message:`Cannot start unit '${t.unit}': no \`inputs:\` field declared in frontmatter. Every unit MUST declare what upstream artifacts it reads (intent doc, knowledge docs, prior-stage outputs). Set inputs explicitly via \`haiku_unit_set { intent: "${t.intent}", unit: "${t.unit}", field: "inputs", value: [...] }\` \u2014 an empty array is fine if the unit genuinely reads nothing, but the field itself must be present.`},{isError:!0});let g=Array.isArray(y.inputs)?y.inputs:[],E=[];for(let S of g)Vh(t.intent,t.unit,S)||E.push(S);if(E.length>0)return r({error:"unit_inputs_missing",missing:E,message:`Cannot start unit '${t.unit}': ${E.length} declared input(s) do not exist on disk: [${E.map(S=>`'${S}'`).join(", ")}]. Each entry in \`inputs:\` MUST reference a real file (typically an artifact a prior stage produced). Verify the upstream stage actually wrote the file, OR remove the input entry if the unit doesn't actually need it.`},{isError:!0})}let f=u1(t.intent,c)[0]||"";De(l,"started_at",bn()),n1(l,f),ci(t.intent),Ke("haiku.unit.started",{intent:t.intent,stage:c,unit:t.unit,hat:f});let p=t.state_file;p&&qi(p,{event:"unit_started",intent:t.intent,stage:c,unit:t.unit,hat:f});let h=It(`haiku: start unit ${t.unit}`);Xr(t.intent,t.state_file);let m=X9(t.intent,c);return n((m?`ok
+${A}`:"ok (already started by the engine)")}let T=dZ(t.intent,c),R=S!==null&&typeof S.hat=="string"?S.hat:"";return r({error:"unit_already_active",unit:t.unit,hat:R,scope:T||null,message:`Unit '${t.unit}' is already active (hat: ${R||"unknown"}). Do not start it again \u2014 continue working on it or call haiku_unit_advance_hat when done.`},{isError:!0})}}{let g=re(Pe(l,"utf8")).data;if(!("inputs"in g))return r({error:"unit_inputs_not_declared",unit:t.unit,stage:c,message:`Cannot start unit '${t.unit}': no \`inputs:\` field declared in frontmatter. Every unit MUST declare what upstream artifacts it reads (intent doc, knowledge docs, prior-stage outputs). Set inputs explicitly via \`haiku_unit_set { intent: "${t.intent}", unit: "${t.unit}", field: "inputs", value: [...] }\` \u2014 an empty array is fine if the unit genuinely reads nothing, but the field itself must be present.`},{isError:!0});let y=Array.isArray(g.inputs)?g.inputs:[],b=[];for(let S of y)Wh(t.intent,t.unit,S)||b.push(S);if(b.length>0)return r({error:"unit_inputs_missing",missing:b,message:`Cannot start unit '${t.unit}': ${b.length} declared input(s) do not exist on disk: [${b.map(S=>`'${S}'`).join(", ")}]. Each entry in \`inputs:\` MUST reference a real file (typically an artifact a prior stage produced). Verify the upstream stage actually wrote the file, OR remove the input entry if the unit doesn't actually need it.`},{isError:!0})}let f=_1(t.intent,c)[0]||"";Me(l,"started_at",En()),h1(l,f),ci(t.intent),Ke("haiku.unit.started",{intent:t.intent,stage:c,unit:t.unit,hat:f});let p=t.state_file;p&&qi(p,{event:"unit_started",intent:t.intent,stage:c,unit:t.unit,hat:f});let h=wt(`haiku: start unit ${t.unit}`);Xr(t.intent,t.state_file);let m=dZ(t.intent,c);return n((m?`ok
 
-${m}`:"ok")+Y9(h))}case"haiku_unit_advance_hat":{let o=Be(t,Bge,"haiku_unit_advance_hat");if(o)return o;let a=t.stage,c,u;if(a){if(c=a,u=Oa(t.intent,c,t.unit),!ue(u))return r({error:"unit_not_found",message:`Unit '${t.unit}' not found at stage '${a}' of intent '${t.intent}'.`},{isError:!0})}else{let C=nY(t.intent,t.unit);if(!C)return r({error:"unit_not_found",message:`Unit '${t.unit}' not found in any stage of intent '${t.intent}'.`},{isError:!0});u=C.path,c=C.stage}let l=$o(t.intent,c);if(l)return l;let d=(C,F,V)=>F&&F.length>0?`${C}
+${m}`:"ok")+uZ(h))}case"haiku_unit_advance_hat":{let o=Be(t,Qge,"haiku_unit_advance_hat");if(o)return o;let a=t.stage,c,u;if(a){if(c=a,u=Pa(t.intent,c,t.unit),!ue(u))return r({error:"unit_not_found",message:`Unit '${t.unit}' not found at stage '${a}' of intent '${t.intent}'.`},{isError:!0})}else{let C=gZ(t.intent,t.unit);if(!C)return r({error:"unit_not_found",message:`Unit '${t.unit}' not found in any stage of intent '${t.intent}'.`},{isError:!0});u=C.path,c=C.stage}let l=ea(t.intent,c);if(l)return l;let d=(C,L,G)=>L&&L.length>0?`${C}
 
 ---
 
 Wave still has work \u2014 spawn the block below as your next Task call:
 
-${F}`:`${C}
+${L}`:`${C}
 
-Wave done \u2014 call \`haiku_run_next { intent: "${V}" }\` for the next instruction.`,f=Ne(u,"utf8"),{data:p}=re(f),h=Array.isArray(p.iterations)?p.iterations:[];if(h.length===0)return r({error:"unit_not_started",unit:t.unit,message:`Unit '${t.unit}' has no iterations[]. Call haiku_unit_start before advancing a hat.`},{isError:!0});let m=h[h.length-1];if(m.completed_at!==null&&m.result!==null)return r({error:"iteration_already_terminal",unit:t.unit,message:`Unit '${t.unit}' last iteration is already terminal (hat='${m.hat}', result='${m.result}'). The cursor will dispatch the next hat on the next haiku_run_next tick.`},{isError:!0});let y=m.hat;if(!("inputs"in p))return r({error:"unit_inputs_not_declared",unit:t.unit,stage:c,message:`Cannot advance hat: unit '${t.unit}' has no \`inputs:\` field declared in frontmatter. Every unit MUST declare what upstream artifacts it reads. Set inputs explicitly via \`haiku_unit_set { intent: "${t.intent}", unit: "${t.unit}", field: "inputs", value: [...] }\` \u2014 an empty array is fine if the unit genuinely reads nothing, but the field itself must be present.`},{isError:!0});let g=p.outputs||[];if(g.length>0){let C=pe(t.intent),F=g.filter(K=>!$f(C,K).startsWith(`${$f(C)}/`));if(F.length>0)return r({error:"unit_outputs_escaped",escaped:F,message:`Cannot advance hat: ${F.length} output path(s) escape the intent directory: ${F.join(", ")}. Fix the outputs in the unit frontmatter.`},{isError:!0});let V=g.filter(K=>!Vh(t.intent,t.unit,K));if(V.length>0){let K=t.state_file;return K&&qi(K,{event:"outputs_missing",intent:t.intent,stage:c,unit:t.unit,missing:V}),r({error:"unit_outputs_missing",missing:V,message:`Cannot advance hat: ${V.length} declared output(s) not found in unit worktree or main intent dir: ${V.join(", ")}. Create them (in the unit worktree if you have one, otherwise in the main intent dir) or remove them from the outputs list.`},{isError:!0})}}let E=zye(t.intent,c,t.unit),b=E.indexOf(y)+1;if(b>=E.length){{let z=`${pe(t.intent)}/intent.md`,{data:J}=re(Ne(z,"utf8")),oe=J.studio||"",le=oe?Q9(t.intent,oe,c,t.unit):null;if(le){let _e=t.state_file;_e&&qi(_e,{event:"unit_scope_violation",intent:t.intent,stage:c,unit:t.unit,violations:le.violations});let wt=[...le.scope.intentGlobs.map(Ue=>`  - \`${Ue}\` (intent-relative)`),...le.scope.repoGlobs.map(Ue=>`  - \`${Ue}\` (repo-relative)`),le.scope.repoWildcard?"  - any repo-level path (stage declares scope: repo with wildcard location)":""].filter(Boolean).join(`
+Wave done \u2014 call \`haiku_run_next { intent: "${G}" }\` for the next instruction.`,f=Pe(u,"utf8"),{data:p}=re(f),h=Array.isArray(p.iterations)?p.iterations:[];if(h.length===0)return r({error:"unit_not_started",unit:t.unit,message:`Unit '${t.unit}' has no iterations[]. Call haiku_unit_start before advancing a hat.`},{isError:!0});let m=h[h.length-1];if(m.completed_at!==null&&m.result!==null)return r({error:"iteration_already_terminal",unit:t.unit,message:`Unit '${t.unit}' last iteration is already terminal (hat='${m.hat}', result='${m.result}'). The cursor will dispatch the next hat on the next haiku_run_next tick.`},{isError:!0});let g=m.hat;if(!("inputs"in p))return r({error:"unit_inputs_not_declared",unit:t.unit,stage:c,message:`Cannot advance hat: unit '${t.unit}' has no \`inputs:\` field declared in frontmatter. Every unit MUST declare what upstream artifacts it reads. Set inputs explicitly via \`haiku_unit_set { intent: "${t.intent}", unit: "${t.unit}", field: "inputs", value: [...] }\` \u2014 an empty array is fine if the unit genuinely reads nothing, but the field itself must be present.`},{isError:!0});let y=p.outputs||[];if(y.length>0){let C=pe(t.intent),L=y.filter(W=>!tp(C,W).startsWith(`${tp(C)}/`));if(L.length>0)return r({error:"unit_outputs_escaped",escaped:L,message:`Cannot advance hat: ${L.length} output path(s) escape the intent directory: ${L.join(", ")}. Fix the outputs in the unit frontmatter.`},{isError:!0});let G=y.filter(W=>!Wh(t.intent,t.unit,W));if(G.length>0){let W=t.state_file;return W&&qi(W,{event:"outputs_missing",intent:t.intent,stage:c,unit:t.unit,missing:G}),r({error:"unit_outputs_missing",missing:G,message:`Cannot advance hat: ${G.length} declared output(s) not found in unit worktree or main intent dir: ${G.join(", ")}. Create them (in the unit worktree if you have one, otherwise in the main intent dir) or remove them from the outputs list.`},{isError:!0})}}let b=tSe(t.intent,c,t.unit),E=b.indexOf(g)+1;if(E>=b.length){{let z=`${pe(t.intent)}/intent.md`,{data:J}=re(Pe(z,"utf8")),oe=J.studio||"",le=oe?fZ(t.intent,oe,c,t.unit):null;if(le){let Ee=t.state_file;Ee&&qi(Ee,{event:"unit_scope_violation",intent:t.intent,stage:c,unit:t.unit,violations:le.violations});let kt=[...le.scope.intentGlobs.map(Ue=>`  - \`${Ue}\` (intent-relative)`),...le.scope.repoGlobs.map(Ue=>`  - \`${Ue}\` (repo-relative)`),le.scope.repoWildcard?"  - any repo-level path (stage declares scope: repo with wildcard location)":""].filter(Boolean).join(`
 `);return r({error:"unit_scope_violation",violations:le.violations,scope:le.scope,message:`Cannot complete unit: ${le.violations.length} file(s) were written outside the stage's declared scope.
 
 Out-of-bounds files:
@@ -750,80 +749,80 @@ ${le.violations.map(Ue=>`  - ${Ue}`).join(`
 `)}
 
 Allowed paths (stage output templates + workflow engine metadata):
-${wt}
+${kt}
 
 To resolve (in the unit worktree): (a) drop ALL unit commits with \`git reset --hard $(git merge-base HEAD haiku/${t.intent}/${c})\` \u2014 recommended if the unit just started and few commits landed; or (b) amend the bad file out of the latest commit with \`git rm <file> && git commit --amend --no-edit\`; or (c) whole-commit rollback with \`git revert --no-edit <commit-sha>\` for each bad commit.
 
 NOTE: \`git checkout HEAD -- <file>\` does NOT work on committed files (it's a no-op when the file matches HEAD). Use one of the above.
 
-Alternatively: (d) update the stage's output template \`location:\` / \`scope:\` if this pattern is legitimate, or (e) log a stage_revisit feedback at the upstream stage via \`haiku_feedback\` with \`resolution: "stage_revisit"\` if the scope itself is wrong.`},{isError:!0})}}let C=Ne(u,"utf8"),{data:F}=re(C),V=F.outputs||[];if(V.length===0){let z=t.state_file;return z&&qi(z,{event:"outputs_empty",intent:t.intent,stage:c,unit:t.unit}),r({error:"unit_outputs_empty",message:"Cannot complete unit: no outputs were produced. Every unit must write at least one artifact that the workflow engine can detect (stage artifact under `stages/<stage>/...` excluding `units/`/`state.json`, knowledge document under `knowledge/`, or a file matching a stage output template `location:`). The workflow engine auto-populates `outputs:` from the git diff at advance time; if you've written files but they're not showing up, verify they've been committed in the unit worktree, or add them explicitly to the unit's `outputs:` frontmatter field."},{isError:!0})}let K=[],$=[],B=[];for(let z of V){if(Vh(t.intent,t.unit,z)){B.push(z);continue}let J=iY(t.intent,t.unit,z);J?($.push({from:z,to:J}),B.push(J)):(K.push(z),B.push(z))}if($.length>0)try{let z=Ne(u,"utf8"),{data:J,content:oe}=(0,Nt.default)(z);In(u,Nt.default.stringify(oe,{...J,outputs:B}));let le=t.state_file;le&&qi(le,{event:"outputs_repaired",intent:t.intent,stage:c,unit:t.unit,repaired:$.length})}catch{}if(K.length>0){let z=t.state_file;return z&&qi(z,{event:"outputs_missing",intent:t.intent,stage:c,unit:t.unit,missing:K.length}),r({error:"unit_outputs_missing",missing:K,message:`Cannot complete unit: ${K.length} declared output(s) do not exist on disk: [${K.map(J=>`'${J}'`).join(", ")}]. Each entry in \`outputs:\` MUST be a real file path. If you wrote prose (e.g. "Weekly carryover roll: scheduler trigger, idempotent roll logic"), that's a completion-criteria description, not an output path \u2014 move it to the body's \`## Completion Criteria\` section and let auto-populate fill \`outputs:\` from the actual git diff. (No same-name file with a different extension was found, so this wasn't auto-repairable.)`},{isError:!0})}let X=(f.match(/- \[ \]/g)||[]).length;if(X>0){let z=t.state_file;return z&&qi(z,{event:"criteria_not_met",intent:t.intent,stage:c,unit:t.unit,unchecked:X}),r({error:"criteria_not_met",unchecked:X,message:`Cannot complete unit: ${X} completion criteria still unchecked. Address them, then call haiku_unit_advance_hat again.`},{isError:!0})}eY(u,"advance",t.message),Ke("haiku.unit.completed",{intent:t.intent,stage:c,unit:t.unit});{let z=t.state_file;z&&qi(z,{event:"unit_completed",intent:t.intent,stage:c,unit:t.unit})}let G=tY(`haiku: complete unit ${t.unit}`),M=t.intent,q=`haiku/${M}/${c}`,U=LE(M,c,()=>ppe(M,t.unit,c));if(!U.success){let z=ne(process.cwd(),".haiku","worktrees",M,t.unit),J=U.message.match(/^merge_conflict: real conflicts on agent-authored content require resolution: (.+)$/m),oe=J?J[1].split(",").map(le=>le.trim()).filter(Boolean):[];return oe.length>0?r({action:"resolve_merge_conflicts",status:"completed_pending_merge_resolution",intent:t.intent,unit:t.unit,stage:c,unit_branch:`haiku/${M}/${t.unit}`,stage_branch:q,conflict_paths:oe,worktree:z,message:`Unit ${t.unit} completed its hat sequence, but merging into ${q} produced real content conflicts on ${oe.length} file(s): ${oe.join(", ")}. The merge is left in-progress \u2014 resolve each conflicted file (the workflow engine cannot \u2014 they contain agent-authored content), \`git add\` the resolved files, \`git commit\` to complete the merge, then call \`haiku_run_next { intent: "${M}" }\`. If multiple units in this wave have pending merges, the engine will queue them and surface the next one after this is resolved.`},{isError:!0}):r({action:"merge_failed",status:"completed_merge_failed",intent:t.intent,unit:t.unit,stage:c,unit_branch:`haiku/${M}/${t.unit}`,stage_branch:q,worktree:z,error:U.message,message:`Unit ${t.unit} completed its hat sequence, but the workflow engine could not merge into ${q}. Git output: ${U.message}. Most common cause: the stage branch's primary worktree has uncommitted engine writes from concurrent dispatch. Inspect with \`git status\` on ${q}; commit any engine-owned dirty files (state.json, units/*.md, baseline.json), then call \`haiku_run_next { intent: "${M}" }\` so the engine retries the merge.`},{isError:!0})}Xr(t.intent,t.state_file);let D=U.message==="no worktree"?"":` (${U.message})`,H=S4(pe(t.intent),c),j=`completed (last hat) \u2014 unit branch merged into ${q}${D}.
-${t.unit}: ${y} done \u2014 unit complete`+(H?`
-${H}`:"")+Y9(G),W=(()=>{let z=ne(pe(t.intent),"intent.md");if(!ue(z))return"";let J=(0,Nt.default)(Ne(z,"utf8")).data;return typeof J.studio=="string"?J.studio:""})(),ee=uEt(t.intent,c,t.unit),ie=Math.max(0,av-ee),Me=W&&ie>0?F0(t.intent,()=>cEt(t.intent,W,ie)):[];Me.length>0&&It(`haiku: refill ${Me.length} unit slot(s) after ${t.unit}`);let Ae;if(Me.length>0){let z=Me.length===1?"block":"blocks";Ae=`${j}
+Alternatively: (d) update the stage's output template \`location:\` / \`scope:\` if this pattern is legitimate, or (e) log a stage_revisit feedback at the upstream stage via \`haiku_feedback\` with \`resolution: "stage_revisit"\` if the scope itself is wrong.`},{isError:!0})}}let C=Pe(u,"utf8"),{data:L}=re(C),G=L.outputs||[];if(G.length===0){let z=t.state_file;return z&&qi(z,{event:"outputs_empty",intent:t.intent,stage:c,unit:t.unit}),r({error:"unit_outputs_empty",message:"Cannot complete unit: no outputs were produced. Every unit must write at least one artifact that the workflow engine can detect (stage artifact under `stages/<stage>/...` excluding `units/`/`state.json`, knowledge document under `knowledge/`, or a file matching a stage output template `location:`). The workflow engine auto-populates `outputs:` from the git diff at advance time; if you've written files but they're not showing up, verify they've been committed in the unit worktree, or add them explicitly to the unit's `outputs:` frontmatter field."},{isError:!0})}let W=[],$=[],q=[];for(let z of G){if(Wh(t.intent,t.unit,z)){q.push(z);continue}let J=SZ(t.intent,t.unit,z);J?($.push({from:z,to:J}),q.push(J)):(W.push(z),q.push(z))}if($.length>0)try{let z=Pe(u,"utf8"),{data:J,content:oe}=(0,Ct.default)(z);In(u,Ct.default.stringify(oe,{...J,outputs:q}));let le=t.state_file;le&&qi(le,{event:"outputs_repaired",intent:t.intent,stage:c,unit:t.unit,repaired:$.length})}catch{}if(W.length>0){let z=t.state_file;return z&&qi(z,{event:"outputs_missing",intent:t.intent,stage:c,unit:t.unit,missing:W.length}),r({error:"unit_outputs_missing",missing:W,message:`Cannot complete unit: ${W.length} declared output(s) do not exist on disk: [${W.map(J=>`'${J}'`).join(", ")}]. Each entry in \`outputs:\` MUST be a real file path. If you wrote prose (e.g. "Weekly carryover roll: scheduler trigger, idempotent roll logic"), that's a completion-criteria description, not an output path \u2014 move it to the body's \`## Completion Criteria\` section and let auto-populate fill \`outputs:\` from the actual git diff. (No same-name file with a different extension was found, so this wasn't auto-repairable.)`},{isError:!0})}let Q=(f.match(/- \[ \]/g)||[]).length;if(Q>0){let z=t.state_file;return z&&qi(z,{event:"criteria_not_met",intent:t.intent,stage:c,unit:t.unit,unchecked:Q}),r({error:"criteria_not_met",unchecked:Q,message:`Cannot complete unit: ${Q} completion criteria still unchecked. Address them, then call haiku_unit_advance_hat again.`},{isError:!0})}hZ(u,"advance",t.message),Ke("haiku.unit.completed",{intent:t.intent,stage:c,unit:t.unit});{let z=t.state_file;z&&qi(z,{event:"unit_completed",intent:t.intent,stage:c,unit:t.unit})}let B=mZ(`haiku: complete unit ${t.unit}`),F=t.intent,V=`haiku/${F}/${c}`,U=jb(F,c,()=>Ape(F,t.unit,c));if(!U.success){let z=ne(process.cwd(),".haiku","worktrees",F,t.unit),J=U.message.match(/^merge_conflict: real conflicts on agent-authored content require resolution: (.+)$/m),oe=J?J[1].split(",").map(le=>le.trim()).filter(Boolean):[];return oe.length>0?r({action:"resolve_merge_conflicts",status:"completed_pending_merge_resolution",intent:t.intent,unit:t.unit,stage:c,unit_branch:`haiku/${F}/${t.unit}`,stage_branch:V,conflict_paths:oe,worktree:z,message:`Unit ${t.unit} completed its hat sequence, but merging into ${V} produced real content conflicts on ${oe.length} file(s): ${oe.join(", ")}. The merge is left in-progress \u2014 resolve each conflicted file (the workflow engine cannot \u2014 they contain agent-authored content), \`git add\` the resolved files, \`git commit\` to complete the merge, then call \`haiku_run_next { intent: "${F}" }\`. If multiple units in this wave have pending merges, the engine will queue them and surface the next one after this is resolved.`},{isError:!0}):r({action:"merge_failed",status:"completed_merge_failed",intent:t.intent,unit:t.unit,stage:c,unit_branch:`haiku/${F}/${t.unit}`,stage_branch:V,worktree:z,error:U.message,message:`Unit ${t.unit} completed its hat sequence, but the workflow engine could not merge into ${V}. Git output: ${U.message}. Most common cause: the stage branch's primary worktree has uncommitted engine writes from concurrent dispatch. Inspect with \`git status\` on ${V}; commit any engine-owned dirty files (state.json, units/*.md, baseline.json), then call \`haiku_run_next { intent: "${F}" }\` so the engine retries the merge.`},{isError:!0})}Xr(t.intent,t.state_file);let M=U.message==="no worktree"?"":` (${U.message})`,H=N3(pe(t.intent),c),j=`completed (last hat) \u2014 unit branch merged into ${V}${M}.
+${t.unit}: ${g} done \u2014 unit complete`+(H?`
+${H}`:"")+uZ(B),Y=(()=>{let z=ne(pe(t.intent),"intent.md");if(!ue(z))return"";let J=(0,Ct.default)(Pe(z,"utf8")).data;return typeof J.studio=="string"?J.studio:""})(),ee=Tbt(t.intent,c,t.unit),se=Math.max(0,cv-ee),Le=Y&&se>0?q0(t.intent,()=>_bt(t.intent,Y,se)):[];Le.length>0&&wt(`haiku: refill ${Le.length} unit slot(s) after ${t.unit}`);let Ae;if(Le.length>0){let z=Le.length===1?"block":"blocks";Ae=`${j}
 
 ---
 
-Wave still has work \u2014 spawn the ${Me.length} ${z} below as your next Task call(s) to refill the freed slot(s):
+Wave still has work \u2014 spawn the ${Le.length} ${z} below as your next Task call(s) to refill the freed slot(s):
 
-`+Me.join(`
+`+Le.join(`
 
 `)}else ee>0?Ae=`${j}
 
 No unstarted units are ready to dispatch right now; sibling subagents are still working and will refill the pool as they finish. Terminate this turn \u2014 do NOT call haiku_run_next.`:Ae=`${j}
 
-Wave done \u2014 call \`haiku_run_next { intent: "${t.intent}" }\` for the next instruction.`;return n(Ae)}{let C=`${pe(t.intent)}/intent.md`,{data:F}=re(Ne(C,"utf8")),V=F.studio||"",K=V?Q9(t.intent,V,c,t.unit):null;if(K){let $=t.state_file;$&&qi($,{event:"unit_scope_violation",intent:t.intent,stage:c,unit:t.unit,hat:y,violations:K.violations});let B=[...K.scope.intentGlobs.map(X=>`  - \`${X}\` (intent-relative)`),...K.scope.repoGlobs.map(X=>`  - \`${X}\` (repo-relative)`),K.scope.repoWildcard?"  - any repo-level path (stage declares scope: repo with wildcard location)":""].filter(Boolean).join(`
-`);return r({error:"unit_scope_violation",hat:y,violations:K.violations,scope:K.scope,message:`Cannot advance hat '${y}': ${K.violations.length} file(s) were written outside the stage's declared scope.
+Wave done \u2014 call \`haiku_run_next { intent: "${t.intent}" }\` for the next instruction.`;return n(Ae)}{let C=`${pe(t.intent)}/intent.md`,{data:L}=re(Pe(C,"utf8")),G=L.studio||"",W=G?fZ(t.intent,G,c,t.unit):null;if(W){let $=t.state_file;$&&qi($,{event:"unit_scope_violation",intent:t.intent,stage:c,unit:t.unit,hat:g,violations:W.violations});let q=[...W.scope.intentGlobs.map(Q=>`  - \`${Q}\` (intent-relative)`),...W.scope.repoGlobs.map(Q=>`  - \`${Q}\` (repo-relative)`),W.scope.repoWildcard?"  - any repo-level path (stage declares scope: repo with wildcard location)":""].filter(Boolean).join(`
+`);return r({error:"unit_scope_violation",hat:g,violations:W.violations,scope:W.scope,message:`Cannot advance hat '${g}': ${W.violations.length} file(s) were written outside the stage's declared scope.
 
 Out-of-bounds files:
-${K.violations.map(X=>`  - ${X}`).join(`
+${W.violations.map(Q=>`  - ${Q}`).join(`
 `)}
 
 Allowed paths (stage output templates + workflow engine metadata):
-${B}
+${q}
 
-Revert the out-of-bounds commits in the unit worktree: drop all unit commits with \`git reset --hard $(git merge-base HEAD haiku/${t.intent}/${c})\`, or amend a single file out with \`git rm <file> && git commit --amend --no-edit\`, or \`git revert --no-edit <commit-sha>\` for a whole commit. NOTE: \`git checkout HEAD -- <file>\` is a no-op on committed files. Or update the stage's output template if this pattern is legitimate. Do NOT advance with scope violations \u2014 downstream hats will run blind.`},{isError:!0})}}let T=E[b];eY(u,"advance",t.message),n1(u,T);{let C=t.state_file;C&&qi(C,{event:"hat_advanced",intent:t.intent,stage:c,unit:t.unit,hat:T})}Ke("haiku.hat.transition",{intent:t.intent,stage:c,unit:t.unit,hat:T});let A=tY(`haiku: advance hat to ${T} on ${t.unit}`);Xfe(t.intent,t.unit),Xr(t.intent,t.state_file);let R=X9(t.intent,c),x=`${t.unit}: ${y} \u2192 ${T} (hat ${b+1}/${E.length})`,k=S4(pe(t.intent),c),N=`advanced to ${T}
+Revert the out-of-bounds commits in the unit worktree: drop all unit commits with \`git reset --hard $(git merge-base HEAD haiku/${t.intent}/${c})\`, or amend a single file out with \`git rm <file> && git commit --amend --no-edit\`, or \`git revert --no-edit <commit-sha>\` for a whole commit. NOTE: \`git checkout HEAD -- <file>\` is a no-op on committed files. Or update the stage's output template if this pattern is legitimate. Do NOT advance with scope violations \u2014 downstream hats will run blind.`},{isError:!0})}}let T=b[E];hZ(u,"advance",t.message),h1(u,T);{let C=t.state_file;C&&qi(C,{event:"hat_advanced",intent:t.intent,stage:c,unit:t.unit,hat:T})}Ke("haiku.hat.transition",{intent:t.intent,stage:c,unit:t.unit,hat:T});let R=mZ(`haiku: advance hat to ${T} on ${t.unit}`);lpe(t.intent,t.unit),Xr(t.intent,t.state_file);let A=dZ(t.intent,c),x=`${t.unit}: ${g} \u2192 ${T} (hat ${E+1}/${b.length})`,k=N3(pe(t.intent),c),P=`advanced to ${T}
 ${x}`+(k?`
-${k}`:"")+(R?`
+${k}`:"")+(A?`
 
-${R}`:"")+Y9(A),P=zSt(t.intent,t.unit);return n(d(N,P,t.intent))}case"haiku_unit_reject_hat":{let o=Be(t,Gge,"haiku_unit_reject_hat");if(o)return o;let a=t.stage,c,u;if(a){if(u=a,c=Oa(t.intent,u,t.unit),!ue(c))return r({error:"unit_not_found",message:`Unit '${t.unit}' not found at stage '${a}' of intent '${t.intent}'.`},{isError:!0})}else{let G=nY(t.intent,t.unit);if(!G)return r({error:"unit_not_found",message:`Unit '${t.unit}' not found in any stage of intent '${t.intent}'.`},{isError:!0});c=G.path,u=G.stage}let l=$o(t.intent,u);if(l)return l;let{data:d}=re(Ne(c,"utf8")),f=Array.isArray(d.iterations)?d.iterations:[];if(f.length===0)return r({error:"unit_not_started",unit:t.unit,message:`Unit '${t.unit}' has no iterations[]. Cannot reject a hat that hasn't started.`},{isError:!0});let p=f[f.length-1];if(p.completed_at!==null&&p.result!==null)return r({error:"iteration_already_terminal",unit:t.unit,message:`Unit '${t.unit}' last iteration is terminal \u2014 nothing to reject. Call run_next to dispatch the next hat.`},{isError:!0});let h=p.hat,m=XSt(f),y=t.message||void 0,g=Array.isArray(d.outputs)?d.outputs.filter(G=>typeof G=="string"):[],E=[],S=[];for(let G of g)Vh(t.intent,t.unit,G)?E.push(G):S.push(G);let b=E.length>0,_=y?/\b(no\s+(?:files?|outputs?|artifacts?)\b|not\s+produced\b|nothing\s+(?:was\s+)?(?:written|produced|created)\b|(?:files?|outputs?|artifacts?)\s+(?:are\s+|were\s+)?(?:missing|absent)\b|missing\s+from\s+disk\b|empty\s+(?:files?|outputs?|artifacts?)\b)/.test(y.toLowerCase()):!1;if(g.length>0&&S.length===0&&_)return r({error:"reject_contradicts_filesystem",unit:t.unit,reason:y,declared_outputs:g,files_present:E,message:"Reject refused: every declared output for this unit exists on disk, but the reject reason claims they are missing. The reviewer's filesystem view is stale (likely running in an isolated git worktree that wasn't seeded with the unit's stage branch). Re-dispatch the reviewer from a worktree that sees the stage branch state, or \u2014 if the reviewer's real concern is content quality, not file presence \u2014 re-issue the reject with a reason that describes the substantive problem. No iteration was recorded; the bolt count is unchanged."},{isError:!0});let T;!b&&g.length>0?T="[NO FILES PRODUCED \u2014 REJECTED FOR MISSING ARTIFACTS]":b?T="[FILES EXIST \u2014 REJECTED FOR CONTENT QUALITY]":T="";let A=Zye(y),R=QSt(f,h,A);if(A.length>0&&R+1>=$9&&m+1<=mv){let G=null;try{let q=`Reject-loop escalation: ${(y||"").trim().slice(0,80)||"unit stuck on same reason"}`,U=`Unit \`${t.unit}\` (stage \`${u}\`) has been rejected ${R+1} consecutive times by hat \`${h}\` for substantially the same reason. The doer cannot fix what requires a spec change, an open question, or user input.
+${A}`:"")+uZ(R),N=rbt(t.intent,t.unit);return n(d(P,N,t.intent))}case"haiku_unit_reject_hat":{let o=Be(t,$ge,"haiku_unit_reject_hat");if(o)return o;let a=t.stage,c,u;if(a){if(u=a,c=Pa(t.intent,u,t.unit),!ue(c))return r({error:"unit_not_found",message:`Unit '${t.unit}' not found at stage '${a}' of intent '${t.intent}'.`},{isError:!0})}else{let B=gZ(t.intent,t.unit);if(!B)return r({error:"unit_not_found",message:`Unit '${t.unit}' not found in any stage of intent '${t.intent}'.`},{isError:!0});c=B.path,u=B.stage}let l=ea(t.intent,u);if(l)return l;let{data:d}=re(Pe(c,"utf8")),f=Array.isArray(d.iterations)?d.iterations:[];if(f.length===0)return r({error:"unit_not_started",unit:t.unit,message:`Unit '${t.unit}' has no iterations[]. Cannot reject a hat that hasn't started.`},{isError:!0});let p=f[f.length-1];if(p.completed_at!==null&&p.result!==null)return r({error:"iteration_already_terminal",unit:t.unit,message:`Unit '${t.unit}' last iteration is terminal \u2014 nothing to reject. Call run_next to dispatch the next hat.`},{isError:!0});let h=p.hat,m=lbt(f),g=t.message||void 0,y=Array.isArray(d.outputs)?d.outputs.filter(B=>typeof B=="string"):[],b=[],S=[];for(let B of y)Wh(t.intent,t.unit,B)?b.push(B):S.push(B);let E=b.length>0,_=g?/\b(no\s+(?:files?|outputs?|artifacts?)\b|not\s+produced\b|nothing\s+(?:was\s+)?(?:written|produced|created)\b|(?:files?|outputs?|artifacts?)\s+(?:are\s+|were\s+)?(?:missing|absent)\b|missing\s+from\s+disk\b|empty\s+(?:files?|outputs?|artifacts?)\b)/.test(g.toLowerCase()):!1;if(y.length>0&&S.length===0&&_)return r({error:"reject_contradicts_filesystem",unit:t.unit,reason:g,declared_outputs:y,files_present:b,message:"Reject refused: every declared output for this unit exists on disk, but the reject reason claims they are missing. The reviewer's filesystem view is stale (likely running in an isolated git worktree that wasn't seeded with the unit's stage branch). Re-dispatch the reviewer from a worktree that sees the stage branch state, or \u2014 if the reviewer's real concern is content quality, not file presence \u2014 re-issue the reject with a reason that describes the substantive problem. No iteration was recorded; the bolt count is unchanged."},{isError:!0});let T;!E&&y.length>0?T="[NO FILES PRODUCED \u2014 REJECTED FOR MISSING ARTIFACTS]":E?T="[FILES EXIST \u2014 REJECTED FOR CONTENT QUALITY]":T="";let R=sSe(g),A=dbt(f,h,R);if(R.length>0&&A+1>=pZ&&m+1<=gv){let B=null;try{let V=`Reject-loop escalation: ${(g||"").trim().slice(0,80)||"unit stuck on same reason"}`,U=`Unit \`${t.unit}\` (stage \`${u}\`) has been rejected ${A+1} consecutive times by hat \`${h}\` for substantially the same reason. The doer cannot fix what requires a spec change, an open question, or user input.
 
 **Last reject reason**:
 
-> ${y||"(none)"}
+> ${g||"(none)"}
 
-**Outputs status**: ${b?`files exist on disk (${E.length}/${g.length} declared)`:g.length>0?"no declared output files exist on disk":"unit declares no outputs"}.
+**Outputs status**: ${E?`files exist on disk (${b.length}/${y.length} declared)`:y.length>0?"no declared output files exist on disk":"unit declares no outputs"}.
 
-**Next steps**: revisit the spec/unit, answer any open question the reviewer is pointing at, or split the unit. Reject-loop escalation fires before the ${mv}-bolt cap so the user can intervene without losing the remaining bolts.`,D=Xo(t.intent,u,{title:q,body:U,origin:"agent",severity:"blocker",author:"engine",authorType:"system",source_ref:`reject-loop:${t.unit}:${h}`});G=D.feedback_id,It(`feedback: reject-loop escalation ${D.feedback_id} on ${t.unit} (${h})`)}catch(M){console.error(`[haiku] reject-loop escalation FB write failed: ${M.message}`)}return r({error:"reject_loop_escalation",unit:t.unit,stage:u,hat:h,bolt:m,consecutive_same_reason_rejects:R+1,min_repeats:$9,last_reason:y??null,outputs_present:b,outputs_files_present:E,outputs_files_missing:S,escalation_feedback_id:G,message:`${T?`${T} `:""}Reject-loop detected: hat '${h}' has rejected unit '${t.unit}' ${R+1} times in a row for the same reason. The doer cannot resolve this on its own \u2014 the issue likely needs user input, a spec change, or a unit split. Filed system feedback ${G??"(write failed)"} so the user sees the stuck state. Stop iterating and escalate. (Loop signal fires at ${$9} consecutive same-reason rejects from the same hat, ${mv-(m+1)} bolts ahead of the hard cap.)`},{isError:!0})}if(m+1>mv)return r({error:"max_bolts_exceeded",bolt:m,max:mv,outputs_present:b,outputs_files_present:E,outputs_files_missing:S,message:`${T?`${T} `:""}Unit has exceeded ${mv} bolt iterations. Escalate to the user \u2014 this unit needs structural intervention, not another retry. To restart it clean (e.g. the spec premise was wrong, or the work should redo from scratch), reset it: \`haiku_unit_reset { intent: "${t.intent}", stage: "${u}", unit: "${t.unit}" }\` \u2014 returns the unit to pending and discards its worktree (siblings + the stage branch untouched); then rewrite the spec with haiku_unit_write if needed and re-run. Or split it into smaller units.`},{isError:!0});{let G=`${pe(t.intent)}/intent.md`,{data:M}=re(Ne(G,"utf8")),q=M.studio||"",U=q?Q9(t.intent,q,u,t.unit):null;if(U)return r({error:"unit_scope_violation_on_reject",bolt:m,violations:U.violations,scope:U.scope,message:`Cannot reject hat: the unit worktree still contains ${U.violations.length} out-of-scope write(s) that must be reverted first.
+**Next steps**: revisit the spec/unit, answer any open question the reviewer is pointing at, or split the unit. Reject-loop escalation fires before the ${gv}-bolt cap so the user can intervene without losing the remaining bolts.`,M=Qo(t.intent,u,{title:V,body:U,origin:"agent",severity:"blocker",author:"engine",authorType:"system",source_ref:`reject-loop:${t.unit}:${h}`});B=M.feedback_id,wt(`feedback: reject-loop escalation ${M.feedback_id} on ${t.unit} (${h})`)}catch(F){console.error(`[haiku] reject-loop escalation FB write failed: ${F.message}`)}return r({error:"reject_loop_escalation",unit:t.unit,stage:u,hat:h,bolt:m,consecutive_same_reason_rejects:A+1,min_repeats:pZ,last_reason:g??null,outputs_present:E,outputs_files_present:b,outputs_files_missing:S,escalation_feedback_id:B,message:`${T?`${T} `:""}Reject-loop detected: hat '${h}' has rejected unit '${t.unit}' ${A+1} times in a row for the same reason. The doer cannot resolve this on its own \u2014 the issue likely needs user input, a spec change, or a unit split. Filed system feedback ${B??"(write failed)"} so the user sees the stuck state. Stop iterating and escalate. (Loop signal fires at ${pZ} consecutive same-reason rejects from the same hat, ${gv-(m+1)} bolts ahead of the hard cap.)`},{isError:!0})}if(m+1>gv)return r({error:"max_bolts_exceeded",bolt:m,max:gv,outputs_present:E,outputs_files_present:b,outputs_files_missing:S,message:`${T?`${T} `:""}Unit has exceeded ${gv} bolt iterations. Escalate to the user \u2014 this unit needs structural intervention, not another retry. To restart it clean (e.g. the spec premise was wrong, or the work should redo from scratch), reset it: \`haiku_unit_reset { intent: "${t.intent}", stage: "${u}", unit: "${t.unit}" }\` \u2014 returns the unit to pending and discards its worktree (siblings + the stage branch untouched); then rewrite the spec with haiku_unit_write if needed and re-run. Or split it into smaller units.`},{isError:!0});{let B=`${pe(t.intent)}/intent.md`,{data:F}=re(Pe(B,"utf8")),V=F.studio||"",U=V?fZ(t.intent,V,u,t.unit):null;if(U)return r({error:"unit_scope_violation_on_reject",bolt:m,violations:U.violations,scope:U.scope,message:`Cannot reject hat: the unit worktree still contains ${U.violations.length} out-of-scope write(s) that must be reverted first.
 
 Out-of-bounds files:
-${U.violations.map(D=>`  - ${D}`).join(`
+${U.violations.map(M=>`  - ${M}`).join(`
 `)}
 
-Revert the out-of-bounds commits in the unit worktree: drop all unit commits with \`git reset --hard $(git merge-base HEAD haiku/${t.intent}/${u})\`, or amend a single file out with \`git rm <file> && git commit --amend --no-edit\`, or \`git revert --no-edit <commit-sha>\` for a whole commit. NOTE: \`git checkout HEAD -- <file>\` is a NO-OP on committed files and will not clear the violation. After the revert, call reject_hat again.`},{isError:!0})}let x=zye(t.intent,u,t.unit),k=re(Ne(`${pe(t.intent)}/intent.md`,"utf8")).data.studio||"",N=k?Pu(k,u):{},{targetHat:P}=Lpe(x,h,{assessorToFirst:!0,assessorHat:oEt,roleOf:G=>N[G]?.role});if(zo.modelSelection){let G=d.model,M=xfe(G);G&&M&&(De(c,"model_original",G),De(c,"model",M),console.error(`[haiku] model escalated: ${G} \u2192 ${M} (hat rejected, iteration ${m+1})`))}let C=y;eY(c,"reject",C),n1(c,P);{let G=t.state_file;G&&qi(G,{event:"unit_failed",intent:t.intent,stage:u,unit:t.unit,from_hat:h,to_hat:P,bolt:m+1})}Ke("haiku.unit.failed",{intent:t.intent,stage:u,unit:t.unit,hat:h,prev_hat:P,bolt:String(m+1)});let F=It(`haiku: fail ${t.unit} \u2014 back to ${P}, iteration ${m+1}`);Xr(t.intent,t.state_file);let V=zSt(t.intent,t.unit),K=T?`${T} `:"",$=S4(pe(t.intent),u),B=`${K}rejected \u2014 back to ${P} (iteration ${m+1}). Reason: ${C??"(none)"}
-${t.unit}: ${h} \u2192 ${P} (bounced back, iteration ${m+1})`+($?`
-${$}`:"")+Y9(F),X=V&&V.length>0?`${B}
+Revert the out-of-bounds commits in the unit worktree: drop all unit commits with \`git reset --hard $(git merge-base HEAD haiku/${t.intent}/${u})\`, or amend a single file out with \`git rm <file> && git commit --amend --no-edit\`, or \`git revert --no-edit <commit-sha>\` for a whole commit. NOTE: \`git checkout HEAD -- <file>\` is a NO-OP on committed files and will not clear the violation. After the revert, call reject_hat again.`},{isError:!0})}let x=tSe(t.intent,u,t.unit),k=re(Pe(`${pe(t.intent)}/intent.md`,"utf8")).data.studio||"",P=k?Du(k,u):{},{targetHat:N}=Wpe(x,h,{assessorToFirst:!0,assessorHat:bbt,roleOf:B=>P[B]?.role});if(Go.modelSelection){let B=d.model,F=Bfe(B);B&&F&&(Me(c,"model_original",B),Me(c,"model",F),console.error(`[haiku] model escalated: ${B} \u2192 ${F} (hat rejected, iteration ${m+1})`))}let C=g;hZ(c,"reject",C),h1(c,N);{let B=t.state_file;B&&qi(B,{event:"unit_failed",intent:t.intent,stage:u,unit:t.unit,from_hat:h,to_hat:N,bolt:m+1})}Ke("haiku.unit.failed",{intent:t.intent,stage:u,unit:t.unit,hat:h,prev_hat:N,bolt:String(m+1)});let L=wt(`haiku: fail ${t.unit} \u2014 back to ${N}, iteration ${m+1}`);Xr(t.intent,t.state_file);let G=rbt(t.intent,t.unit),W=T?`${T} `:"",$=N3(pe(t.intent),u),q=`${W}rejected \u2014 back to ${N} (iteration ${m+1}). Reason: ${C??"(none)"}
+${t.unit}: ${h} \u2192 ${N} (bounced back, iteration ${m+1})`+($?`
+${$}`:"")+uZ(L),Q=G&&G.length>0?`${q}
 
 ---
 
 Wave still has work \u2014 spawn the block below as your next Task call:
 
-${V}`:`${B}
+${G}`:`${q}
 
-Call \`haiku_run_next { intent: "${t.intent}" }\` for the next instruction.`;return r({ok:!0,unit:t.unit,stage:u,prev_hat:P,bolt:m+1,reason:C??null,outputs_present:b,outputs_files_present:E,outputs_files_missing:S,next_subagent_dispatch_block:V,message:X})}case"haiku_unit_read":{let o=Be(t,zge,"haiku_unit_read");if(o)return o;let a=$o(t.intent,t.stage);if(a)return a;let c=Oa(t.intent,t.stage,t.unit);if(!ue(c))return r({error:"unit_not_found",intent:t.intent,stage:t.stage,unit:t.unit,message:`No unit '${t.unit}' in stage '${t.stage}'.`},{isError:!0});Bye(c);let{data:u,body:l}=re(Ne(c,"utf8")),d=typeof u.title=="string"?u.title:"",f=l.match(/^#\s+(.+)$/m),p=d||(f?f[1].trim():t.unit);return r({title:p,body:l})}case"haiku_read_hat":{let o=Be(t,Oge,"haiku_read_hat");if(o)return o;let a=t.studio,c=t.stage,u=t.hat,l=t.fix===!0,d=SI(a,c,u,l);return d===null?r({error:"hat_not_found",studio:a,stage:c,hat:u,fix:l,message:`No ${l?"fix-scoped or production ":""}mandate for hat '${u}' in studio '${a}' stage '${c}'.`},{isError:!0}):r({hat:u,body:d})}case"haiku_read_stage":{let o=Be(t,Nge,"haiku_read_stage");if(o)return o;let a=t.studio,c=t.stage,u=Mh(a,c);return u===null?r({error:"stage_not_found",studio:a,stage:c,message:`No STAGE.md for studio '${a}' stage '${c}'.`},{isError:!0}):r({stage:c,body:u})}case"haiku_read_review_agent":{let o=Be(t,Cge,"haiku_read_review_agent");if(o)return o;let a=t.studio,c=t.stage||"",u=t.role,l=Ch(a,c||void 0,u);return l===null?r({error:"review_agent_not_found",studio:a,stage:c||null,role:u,message:`No ${c?"stage-scope":"intent-completion"} review agent '${u}' in studio '${a}'${c?` stage '${c}'`:""}. (Engine-built-in roles like spec/continuity/cross-stage-consistency are generated, not files \u2014 they are not readable here.)`},{isError:!0}):r({role:u,body:l})}case"haiku_read_intent":{let o=Be(t,Pge,"haiku_read_intent");if(o)return o;let a=t.intent,c=Wh(a);return c===null?r({error:"intent_not_found",intent:a,message:`No intent.md for '${a}'.`},{isError:!0}):r({intent:a,body:c})}case"haiku_read_discovery":{let o=Be(t,Mge,"haiku_read_discovery");if(o)return o;let a=t.studio,c=t.stage,u=t.template,l=EI(a,c,u);return l===null?r({error:"discovery_template_not_found",studio:a,stage:c,template:u,message:`No discovery template '${u}' in studio '${a}' stage '${c}'.`},{isError:!0}):r({template:u,body:l})}case"haiku_read_phase":{let o=Be(t,Dge,"haiku_read_phase");if(o)return o;let a=t.studio,c=t.stage,u=t.phase,l=L3(a,c,u);return l===null?r({error:"phase_not_found",studio:a,stage:c,phase:u,message:`No '${u}' phase override for studio '${a}' stage '${c}'.`},{isError:!0}):r({phase:u,body:l})}case"haiku_read_output":{let o=Be(t,Lge,"haiku_read_output");if(o)return o;let a=t.studio,c=t.stage,u=t.name,l=D3(a,c,u);return l===null?r({error:"output_template_not_found",studio:a,stage:c,name:u,message:`No output template '${u}' in studio '${a}' stage '${c}'.`},{isError:!0}):r({name:u,body:l})}case"haiku_unit_delete":{let o=Be(t,Vge,"haiku_unit_delete");if(o)return o;let a=$o(t.intent,t.stage);if(a)return a;let c=Oa(t.intent,t.stage,t.unit);if(!ue(c))return r({error:"unit_not_found",intent:t.intent,stage:t.stage,unit:t.unit,message:`No unit '${t.unit}' in stage '${t.stage}'.`},{isError:!0});let{data:u}=re(Ne(c,"utf8")),l=B0(u);return l!=="pending"?r({error:"lifecycle_violation",current_status:l,required_status:"pending",message:`Cannot delete unit '${t.unit}' \u2014 status is '${l}'. Per the forward-only lifecycle rule (architecture \xA71.3), units become immutable once they enter active or completed status because downstream work has been informed by them. Pending units only.`},{isError:!0}):(Fye(c),ci(t.intent),Ke("haiku.unit.deleted",{intent:t.intent,stage:t.stage,unit:t.unit}),r({ok:!0,message:`Deleted pending unit '${t.unit}'.`}))}case"haiku_unit_write":{let o=Be(t,Wge,"haiku_unit_write");if(o)return o;let a=$o(t.intent,t.stage);if(a)return a;let c=t.intent,u=t.stage,l=t.unit,d=t.body??"",f=t.frontmatter??{};if(!d||d.trim().length===0)return r({error:"empty_body",message:"body is required and must be substantive. Empty bodies cannot pass downstream verification."},{isError:!0});let p=Oa(c,u,l),h=!0;if(ue(p)){let{data:x}=re(Ne(p,"utf8")),k=B0(x);if(k!=="pending")return r({error:"lifecycle_violation",current_status:k,message:`Cannot rewrite unit '${l}' \u2014 status is '${k}'. Per the forward-only lifecycle rule (architecture \xA71.3), units become immutable once active or completed. To address a defect in a completed unit, draft a NEW pending unit in the next elaborate iteration; do not modify the original.`},{isError:!0});h=!1}let m=ne(ar(c,u),"units"),y=[],g={};if(ue(m))for(let x of an(m).filter(k=>k.endsWith(".md"))){let k=x.replace(/\.md$/,"");y.push(k);try{let N=re(Ne(ne(m,x),"utf8")).data;Array.isArray(N.outputs)&&(g[k]=N.outputs.filter(P=>typeof P=="string").map(P=>P.trim()))}catch{}}y.includes(l)||y.push(l);let E="knowledge";try{let x=ne(pe(c),"intent.md");if(ue(x)){let k=re(Ne(x,"utf8")).data.studio||"",N=k?si(k):null;if(N){let P=$i(N.dir,u);P&&P.data.produces==="build"&&(E="build")}}}catch{}let S=rEt(f,{intent:c,stage:u,unit:l,siblingUnits:y,siblingOutputs:g,stageProduces:E});if(!S.valid)return r({error:"frontmatter_validation_failed",errors:S.errors,message:"Frontmatter failed validation. Fix each error and call again. Architecture \xA71.1 mandates that the workflow engine enforces FM validity at write time, so the agent never sees defects sneak through."},{isError:!0});let b={};if(ue(m))for(let x of an(m).filter(k=>k.endsWith(".md"))){let k=x.replace(/\.md$/,"");if(k===l)continue;let{data:N}=re(Ne(ne(m,x),"utf8"));b[k]=Array.isArray(N.depends_on)?N.depends_on:[]}b[l]=Array.isArray(f.depends_on)?f.depends_on:[];let _=iEt(b);if(_.length>0)return r({error:"dag_cycle_detected",cycle_nodes:_,message:`Writing unit '${l}' with depends_on=[${f.depends_on?.join(", ")??""}] would create a dependency cycle involving: [${_.join(", ")}]. The workflow engine rejects writes that produce a cyclic DAG. Reorder dependencies or restructure the units.`},{isError:!0});let T=K4n(d);if(T)return r(T,{isError:!0});let A=Z4n(l,f);if(A)return r(A,{isError:!0});let R={...f,status:"pending"};if(!("title"in R)){let x=d.match(/^#\s+(.+)$/m);R.title=x?x[1].trim():l}return h&&!ue(m)&&Cl(m,{recursive:!0}),In(p,Nt.default.stringify(`${d.trimEnd()}
-`,R)),ci(c),Ke(h?"haiku.unit.created":"haiku.unit.rewritten",{intent:c,stage:u,unit:l}),r({ok:!0,created:h,unit:l,stage:u,intent:c,message:h?`Created unit '${l}' in stage '${u}' (status: pending).`:`Rewrote unit '${l}' in stage '${u}' (status preserved as pending).`})}case"haiku_reconciliation_acknowledge":{let o=Be(t,ege,"haiku_reconciliation_acknowledge");if(o)return o;let a=t.intent,u=t.stage||t1(a),l=t.rationale?.trim();if(!u)return r({error:"no_active_stage",message:"No stage specified and no active stage found on the intent."},{isError:!0});if(!l||l.length<10)return r({error:"rationale_required",message:"haiku_reconciliation_acknowledge requires a rationale of at least 10 characters explaining why the divergence is intentional. Acknowledging without explanation defeats the purpose of the reconciliation log."},{isError:!0});let d=ne(pe(a),"stages",u);Cl(d,{recursive:!0});let f=ne(d,"upstream-reconciliation.json");return r1(f,{acknowledged:!0,acknowledged_at:bn(),rationale:l}),BSt(a,u,{decision:"Upstream reconciliation acknowledged",options:["reconcile upstream artifacts","acknowledge divergence"],choice:"acknowledge divergence",source:"autonomous-acknowledged",rationale:l,kind:"upstream_reconciliation",recorded_at:bn()}),ci(a),Ke("haiku.reconciliation.acknowledged",{intent:a,stage:u}),r({ok:!0,intent:a,stage:u,rationale:l})}case"haiku_decision_record":{let o=Be(t,tge,"haiku_decision_record");if(o)return o;let a=t.intent,u=t.stage||t1(a);if(!u)return r({error:"no_active_stage",message:"No stage specified and no active stage found on the intent."},{isError:!0});let l=ne(pe(a),"stages",u);Cl(l,{recursive:!0});let d=t.no_decisions===!0,f=t.rationale?.trim();if(d){if(!f||f.length<10)return r({error:"rationale_required",message:"no_decisions=true requires a rationale of at least 10 characters explaining why no architectural decisions are in scope for this stage. State the convention or constraint that makes the work routine (e.g. 'all units follow the team's standard CRUD scaffolding; no architectural choices remain after design stage')."},{isError:!0});let E=ne(l,"no-decisions.json");return r1(E,{declared:!0,declared_at:bn(),rationale:f}),ci(a),Ke("haiku.elaboration.no_decisions_declared",{intent:a,stage:u}),r({ok:!0,intent:a,stage:u,no_decisions:!0,rationale:f})}let p=t.decision?.trim(),h=t.options,m=t.choice?.trim(),y=t.source;if(!p||!h||!m||!y)return r({error:"missing_fields",message:"haiku_decision_record requires `decision`, `options`, `choice`, and `source` (or `no_decisions: true` with `rationale`)."},{isError:!0});if(!Array.isArray(h)||h.length<2)return r({error:"options_too_few",message:"`options` must be an array of at least 2 concrete alternatives. A 'decision' with only one option isn't a decision \u2014 it's just doing the work. If the work is forced, use `no_decisions: true` with a rationale instead."},{isError:!0});if(!h.includes(m))return r({error:"choice_not_in_options",message:`\`choice\` must match one of the entries in \`options\`. Got choice=${JSON.stringify(m)}; options=${JSON.stringify(h)}. The decision-log is provenance \u2014 recording a choice that wasn't in the presented alternatives corrupts the very property the log exists to preserve.`},{isError:!0});if(y!=="user"&&y!=="autonomous-acknowledged")return r({error:"invalid_source",message:'`source` must be "user" (the user picked between the options) or "autonomous-acknowledged" (you chose and surfaced the choice for the user to veto, and they did not push back).'},{isError:!0});BSt(a,u,{decision:p,options:h,choice:m,source:y,rationale:f||null,recorded_at:bn()});let g=d4(a,u).length;return ci(a),Ke("haiku.decision.recorded",{intent:a,stage:u,source:y}),r({ok:!0,intent:a,stage:u,decision_count:g})}case"haiku_knowledge_list":{let o=Be(t,nge,"haiku_knowledge_list");if(o)return o;let a=ne(pe(t.intent),"knowledge");if(!ue(a))return r({files:[]});let c=an(a).filter(u=>u.endsWith(".md"));return r({files:c})}case"haiku_knowledge_read":{let o=Be(t,rge,"haiku_knowledge_read");if(o)return o;let a=ne(pe(t.intent),"knowledge",t.name);return ue(a)?r({found:!0,name:t.name,content:Ne(a,"utf8")}):r({found:!1,name:t.name,content:""})}case"haiku_skill_list":{let o=Be(t,NL,"haiku_skill_list");return o||r({skills:V0()})}case"haiku_studio_list":{let o=Be(t,NL,"haiku_studio_list");if(o)return o;let a=bI().filter(c=>c.data.deprecated!==!0).map(c=>({name:c.name,slug:c.slug,aliases:c.aliases,dir:c.dir,description:c.description,category:c.category,stages:c.stages,source:c.source,path:c.path,studio_md:c.studioFile,body:c.body.slice(0,200)}));return r({studios:a})}case"haiku_studio_get":{let o=Be(t,ige,"haiku_studio_get");if(o)return o;let a=si(t.studio);return r(a?{found:!0,name:a.name,slug:a.slug,aliases:a.aliases,dir:a.dir,description:a.description,category:a.category,stages:a.stages,source:a.source,path:a.path,studio_md:a.studioFile,body:a.body,...a.data}:{found:!1})}case"haiku_studio_stage_get":{let o=Be(t,sge,"haiku_studio_stage_get");if(o)return o;let a=si(t.studio);if(!a)return r({found:!1});let c=t.stage,u=ne(a.path,"stages",c,"STAGE.md");if(!ue(u))return r({found:!1});let l=Ne(u,"utf8"),{data:d,body:f}=re(l);return r({found:!0,...d,body:f,studio:a.name,studio_dir:a.dir,stage_md:u})}case"haiku_settings_get":{let o=Be(t,oge,"haiku_settings_get");if(o)return o;let a=t.field,c="";try{c=ne(ve(),"settings.yml")}catch{}if(!(c&&ue(c)))return r({found:!1,field:a,value:null});let u=Ne(c,"utf8"),l=GSt(u),d=tZn(l,a);return r({found:d!=null,field:a,value:d??null})}case"haiku_settings_set":{let o=Be(t,age,"haiku_settings_set");if(o)return o;let a=t.field,c=t.value,u=(m,y)=>r({error:m,field:a,message:y},{isError:!0}),l="";try{l=ne(ve(),"settings.yml")}catch(m){return u("haiku_root_not_found",`No .haiku/ directory found: ${m.message}`)}let f={...ue(l)?GSt(Ne(l,"utf8")):{}};if(c==null?delete f[a]:f[a]=c,!J4n(f)){let m=X4n()[0];return u("settings_field_validation_failed",`Field '${a}' fails settings.schema.json validation: ${m?.instancePath||"(root)"} ${m?.message||"invalid"}.`)}let h=Nt.default.engines.yaml.stringify(f);return In(l,h),r({ok:!0,field:a,message:c==null?`Deleted '${a}' from .haiku/settings.yml`:`Set '${a}' in .haiku/settings.yml`})}case"haiku_intent_set":{let o=Be(t,$me,"haiku_intent_set");if(o)return o;let a=t.intent,c=t.field,u=t.value,l=(h,m)=>r({error:h,intent:a,field:c,message:m},{isError:!0}),d=pE();if(!d&&XT.includes(c))return l("intent_field_engine_only",`Field '${c}' is workflow engine-managed \u2014 agents cannot set it. Engine-only fields: ${XT.join(", ")}.`);if(!d&&p9.includes(c))return l("intent_field_immutable",`Field '${c}' is immutable after creation.`);if(!JT.includes(c))return l("intent_field_unknown",`Field '${c}' is not in INTENT_FRONTMATTER_SCHEMA. Allowed: ${JT.filter(h=>!p9.includes(h)).join(", ")}.`);let f="";try{f=ne(pe(a),"intent.md")}catch(h){return l("haiku_root_not_found",`Could not resolve intent dir: ${h.message}`)}if(!ue(f))return l("intent_not_found",`Intent '${a}' not found at ${f}.`);let p={[c]:u};if(!T0(p)){let h=T0.errors?.[0];return l("intent_field_type_mismatch",`Field '${c}' fails INTENT_FRONTMATTER_SCHEMA validation: ${h?.instancePath||"(root)"} ${h?.message||"invalid"}.`)}return De(f,c,u),It(`haiku: intent ${a} set ${c} via haiku_intent_set`),r({ok:!0,intent:a,field:c,message:`Set intent.${c} on '${a}'.`})}case"haiku_stage_set":{let o=Be(t,Ige,"haiku_stage_set");if(o)return o;let a=t.intent,c=t.stage,u=t.field;t.value;let l=(d,f)=>r({error:d,intent:a,stage:c,field:u,message:f},{isError:!0});return!u||typeof u!="string"?l("stage_field_required","`field` is required"):l("stage_field_engine_only",`Stage state.json is workflow engine-managed \u2014 agents cannot set fields directly. Stage fields are mutated by haiku_run_next ticks (start, advance phase, complete) and lifecycle tools (haiku_unit_advance_hat, haiku_feedback_advance_hat). To force a stage transition manually, use /haiku:haiku-repair, or file a stage_revisit feedback via \`haiku_feedback({ resolution: "stage_revisit" })\` to re-open the target stage. Field '${u}' on stage '${c}' of intent '${a}' was not written.`)}case"haiku_capacity":{let o=Be(t,cge,"haiku_capacity");if(o)return o;let a=t.studio||"",c=a||null,u;try{u=ve()}catch{return r({markdown:"No .haiku directory found.",studio:c})}let l=ne(u,"intents");if(!ue(l))return r({markdown:"No intents found.",studio:c});let d=Ug(l),f=m=>{if(m.length===0)return 0;let y=[...m].sort((E,S)=>E-S),g=Math.floor(y.length/2);return y.length%2!==0?y[g]:(y[g-1]+y[g])/2},p=new Map;for(let{slug:m,data:y}of d){let g=y.studio||"unassigned";if(a&&g!==a)continue;p.has(g)||p.set(g,[]);let E=typeof y.plugin_version=="string",S=y.status||"",b=E?typeof y.sealed_at=="string"&&y.sealed_at?"completed":"active":"",_=S||b||"unknown";p.get(g)?.push({slug:m,status:_,data:y})}if(p.size===0)return r({markdown:a?`No intents found for studio '${a}'.`:"No intents found.",studio:c});let h=`# Capacity Report
-`;for(let[m,y]of p){let g=y.filter(b=>b.status==="completed").length,E=y.filter(b=>b.status==="active").length;h+=`
+Call \`haiku_run_next { intent: "${t.intent}" }\` for the next instruction.`;return r({ok:!0,unit:t.unit,stage:u,prev_hat:N,bolt:m+1,reason:C??null,outputs_present:E,outputs_files_present:b,outputs_files_missing:S,next_subagent_dispatch_block:G,message:Q})}case"haiku_unit_read":{let o=Be(t,eye,"haiku_unit_read");if(o)return o;let a=ea(t.intent,t.stage);if(a)return a;let c=Pa(t.intent,t.stage,t.unit);if(!ue(c))return r({error:"unit_not_found",intent:t.intent,stage:t.stage,unit:t.unit,message:`No unit '${t.unit}' in stage '${t.stage}'.`},{isError:!0});$ye(c);let{data:u,body:l}=re(Pe(c,"utf8")),d=typeof u.title=="string"?u.title:"",f=l.match(/^#\s+(.+)$/m),p=d||(f?f[1].trim():t.unit);return r({title:p,body:l})}case"haiku_read_hat":{let o=Be(t,Hge,"haiku_read_hat");if(o)return o;let a=t.studio,c=t.stage,u=t.hat,l=t.fix===!0,d=EI(a,c,u,l);return d===null?r({error:"hat_not_found",studio:a,stage:c,hat:u,fix:l,message:`No ${l?"fix-scoped or production ":""}mandate for hat '${u}' in studio '${a}' stage '${c}'.`},{isError:!0}):r({hat:u,body:d})}case"haiku_read_stage":{let o=Be(t,qge,"haiku_read_stage");if(o)return o;let a=t.studio,c=t.stage,u=Dh(a,c);return u===null?r({error:"stage_not_found",studio:a,stage:c,message:`No STAGE.md for studio '${a}' stage '${c}'.`},{isError:!0}):r({stage:c,body:u})}case"haiku_read_review_agent":{let o=Be(t,zge,"haiku_read_review_agent");if(o)return o;let a=t.studio,c=t.stage||"",u=t.role,l=Mh(a,c||void 0,u);return l===null?r({error:"review_agent_not_found",studio:a,stage:c||null,role:u,message:`No ${c?"stage-scope":"intent-completion"} review agent '${u}' in studio '${a}'${c?` stage '${c}'`:""}. (Engine-built-in roles like spec/continuity/cross-stage-consistency are generated, not files \u2014 they are not readable here.)`},{isError:!0}):r({role:u,body:l})}case"haiku_read_intent":{let o=Be(t,Bge,"haiku_read_intent");if(o)return o;let a=t.intent,c=Kh(a);return c===null?r({error:"intent_not_found",intent:a,message:`No intent.md for '${a}'.`},{isError:!0}):r({intent:a,body:c})}case"haiku_read_discovery":{let o=Be(t,Gge,"haiku_read_discovery");if(o)return o;let a=t.studio,c=t.stage,u=t.template,l=_I(a,c,u);return l===null?r({error:"discovery_template_not_found",studio:a,stage:c,template:u,message:`No discovery template '${u}' in studio '${a}' stage '${c}'.`},{isError:!0}):r({template:u,body:l})}case"haiku_read_phase":{let o=Be(t,Vge,"haiku_read_phase");if(o)return o;let a=t.studio,c=t.stage,u=t.phase,l=ZK(a,c,u);return l===null?r({error:"phase_not_found",studio:a,stage:c,phase:u,message:`No '${u}' phase override for studio '${a}' stage '${c}'.`},{isError:!0}):r({phase:u,body:l})}case"haiku_read_output":{let o=Be(t,Wge,"haiku_read_output");if(o)return o;let a=t.studio,c=t.stage,u=t.name,l=YK(a,c,u);return l===null?r({error:"output_template_not_found",studio:a,stage:c,name:u,message:`No output template '${u}' in studio '${a}' stage '${c}'.`},{isError:!0}):r({name:u,body:l})}case"haiku_unit_delete":{let o=Be(t,tye,"haiku_unit_delete");if(o)return o;let a=ea(t.intent,t.stage);if(a)return a;let c=Pa(t.intent,t.stage,t.unit);if(!ue(c))return r({error:"unit_not_found",intent:t.intent,stage:t.stage,unit:t.unit,message:`No unit '${t.unit}' in stage '${t.stage}'.`},{isError:!0});let{data:u}=re(Pe(c,"utf8")),l=V0(u);return l!=="pending"?r({error:"lifecycle_violation",current_status:l,required_status:"pending",message:`Cannot delete unit '${t.unit}' \u2014 status is '${l}'. Per the forward-only lifecycle rule (architecture \xA71.3), units become immutable once they enter active or completed status because downstream work has been informed by them. Pending units only.`},{isError:!0}):(Zye(c),ci(t.intent),Ke("haiku.unit.deleted",{intent:t.intent,stage:t.stage,unit:t.unit}),r({ok:!0,message:`Deleted pending unit '${t.unit}'.`}))}case"haiku_unit_write":{let o=Be(t,nye,"haiku_unit_write");if(o)return o;let a=ea(t.intent,t.stage);if(a)return a;let c=t.intent,u=t.stage,l=t.unit,d=t.body??"",f=t.frontmatter??{};if(!d||d.trim().length===0)return r({error:"empty_body",message:"body is required and must be substantive. Empty bodies cannot pass downstream verification."},{isError:!0});let p=Pa(c,u,l),h=!0;if(ue(p)){let{data:x}=re(Pe(p,"utf8")),k=V0(x);if(k!=="pending")return r({error:"lifecycle_violation",current_status:k,message:`Cannot rewrite unit '${l}' \u2014 status is '${k}'. Per the forward-only lifecycle rule (architecture \xA71.3), units become immutable once active or completed. To address a defect in a completed unit, draft a NEW pending unit in the next elaborate iteration; do not modify the original.`},{isError:!0});h=!1}let m=ne(ar(c,u),"units"),g=[],y={};if(ue(m))for(let x of an(m).filter(k=>k.endsWith(".md"))){let k=x.replace(/\.md$/,"");g.push(k);try{let P=re(Pe(ne(m,x),"utf8")).data;Array.isArray(P.outputs)&&(y[k]=P.outputs.filter(N=>typeof N=="string").map(N=>N.trim()))}catch{}}g.includes(l)||g.push(l);let b="knowledge";try{let x=ne(pe(c),"intent.md");if(ue(x)){let k=re(Pe(x,"utf8")).data.studio||"",P=k?si(k):null;if(P){let N=$i(P.dir,u);N&&N.data.produces==="build"&&(b="build")}}}catch{}let S=gbt(f,{intent:c,stage:u,unit:l,siblingUnits:g,siblingOutputs:y,stageProduces:b});if(!S.valid)return r({error:"frontmatter_validation_failed",errors:S.errors,message:"Frontmatter failed validation. Fix each error and call again. Architecture \xA71.1 mandates that the workflow engine enforces FM validity at write time, so the agent never sees defects sneak through."},{isError:!0});let E={};if(ue(m))for(let x of an(m).filter(k=>k.endsWith(".md"))){let k=x.replace(/\.md$/,"");if(k===l)continue;let{data:P}=re(Pe(ne(m,x),"utf8"));E[k]=Array.isArray(P.depends_on)?P.depends_on:[]}E[l]=Array.isArray(f.depends_on)?f.depends_on:[];let _=ybt(E);if(_.length>0)return r({error:"dag_cycle_detected",cycle_nodes:_,message:`Writing unit '${l}' with depends_on=[${f.depends_on?.join(", ")??""}] would create a dependency cycle involving: [${_.join(", ")}]. The workflow engine rejects writes that produce a cyclic DAG. Reorder dependencies or restructure the units.`},{isError:!0});let T=u9n(d);if(T)return r(T,{isError:!0});let R=l9n(l,f);if(R)return r(R,{isError:!0});let A={...f,status:"pending"};if(!("title"in A)){let x=d.match(/^#\s+(.+)$/m);A.title=x?x[1].trim():l}return h&&!ue(m)&&Dl(m,{recursive:!0}),In(p,Ct.default.stringify(`${d.trimEnd()}
+`,A)),ci(c),Ke(h?"haiku.unit.created":"haiku.unit.rewritten",{intent:c,stage:u,unit:l}),r({ok:!0,created:h,unit:l,stage:u,intent:c,message:h?`Created unit '${l}' in stage '${u}' (status: pending).`:`Rewrote unit '${l}' in stage '${u}' (status preserved as pending).`})}case"haiku_reconciliation_acknowledge":{let o=Be(t,lge,"haiku_reconciliation_acknowledge");if(o)return o;let a=t.intent,u=t.stage||p1(a),l=t.rationale?.trim();if(!u)return r({error:"no_active_stage",message:"No stage specified and no active stage found on the intent."},{isError:!0});if(!l||l.length<10)return r({error:"rationale_required",message:"haiku_reconciliation_acknowledge requires a rationale of at least 10 characters explaining why the divergence is intentional. Acknowledging without explanation defeats the purpose of the reconciliation log."},{isError:!0});let d=ne(pe(a),"stages",u);Dl(d,{recursive:!0});let f=ne(d,"upstream-reconciliation.json");return m1(f,{acknowledged:!0,acknowledged_at:En(),rationale:l}),tbt(a,u,{decision:"Upstream reconciliation acknowledged",options:["reconcile upstream artifacts","acknowledge divergence"],choice:"acknowledge divergence",source:"autonomous-acknowledged",rationale:l,kind:"upstream_reconciliation",recorded_at:En()}),ci(a),Ke("haiku.reconciliation.acknowledged",{intent:a,stage:u}),r({ok:!0,intent:a,stage:u,rationale:l})}case"haiku_decision_record":{let o=Be(t,dge,"haiku_decision_record");if(o)return o;let a=t.intent,u=t.stage||p1(a);if(!u)return r({error:"no_active_stage",message:"No stage specified and no active stage found on the intent."},{isError:!0});let l=ne(pe(a),"stages",u);Dl(l,{recursive:!0});let d=t.no_decisions===!0,f=t.rationale?.trim();if(d){if(!f||f.length<10)return r({error:"rationale_required",message:"no_decisions=true requires a rationale of at least 10 characters explaining why no architectural decisions are in scope for this stage. State the convention or constraint that makes the work routine (e.g. 'all units follow the team's standard CRUD scaffolding; no architectural choices remain after design stage')."},{isError:!0});let b=ne(l,"no-decisions.json");return m1(b,{declared:!0,declared_at:En(),rationale:f}),ci(a),Ke("haiku.elaboration.no_decisions_declared",{intent:a,stage:u}),r({ok:!0,intent:a,stage:u,no_decisions:!0,rationale:f})}let p=t.decision?.trim(),h=t.options,m=t.choice?.trim(),g=t.source;if(!p||!h||!m||!g)return r({error:"missing_fields",message:"haiku_decision_record requires `decision`, `options`, `choice`, and `source` (or `no_decisions: true` with `rationale`)."},{isError:!0});if(!Array.isArray(h)||h.length<2)return r({error:"options_too_few",message:"`options` must be an array of at least 2 concrete alternatives. A 'decision' with only one option isn't a decision \u2014 it's just doing the work. If the work is forced, use `no_decisions: true` with a rationale instead."},{isError:!0});if(!h.includes(m))return r({error:"choice_not_in_options",message:`\`choice\` must match one of the entries in \`options\`. Got choice=${JSON.stringify(m)}; options=${JSON.stringify(h)}. The decision-log is provenance \u2014 recording a choice that wasn't in the presented alternatives corrupts the very property the log exists to preserve.`},{isError:!0});if(g!=="user"&&g!=="autonomous-acknowledged")return r({error:"invalid_source",message:'`source` must be "user" (the user picked between the options) or "autonomous-acknowledged" (you chose and surfaced the choice for the user to veto, and they did not push back).'},{isError:!0});tbt(a,u,{decision:p,options:h,choice:m,source:g,rationale:f||null,recorded_at:En()});let y=A3(a,u).length;return ci(a),Ke("haiku.decision.recorded",{intent:a,stage:u,source:g}),r({ok:!0,intent:a,stage:u,decision_count:y})}case"haiku_knowledge_list":{let o=Be(t,fge,"haiku_knowledge_list");if(o)return o;let a=ne(pe(t.intent),"knowledge");if(!ue(a))return r({files:[]});let c=an(a).filter(u=>u.endsWith(".md"));return r({files:c})}case"haiku_knowledge_read":{let o=Be(t,pge,"haiku_knowledge_read");if(o)return o;let a=ne(pe(t.intent),"knowledge",t.name);return ue(a)?r({found:!0,name:t.name,content:Pe(a,"utf8")}):r({found:!1,name:t.name,content:""})}case"haiku_skill_list":{let o=Be(t,HL,"haiku_skill_list");return o||r({skills:Y0()})}case"haiku_studio_list":{let o=Be(t,HL,"haiku_studio_list");if(o)return o;let a=TI().filter(c=>c.data.deprecated!==!0).map(c=>({name:c.name,slug:c.slug,aliases:c.aliases,dir:c.dir,description:c.description,category:c.category,stages:c.stages,source:c.source,path:c.path,studio_md:c.studioFile,body:c.body.slice(0,200)}));return r({studios:a})}case"haiku_studio_get":{let o=Be(t,hge,"haiku_studio_get");if(o)return o;let a=si(t.studio);return r(a?{found:!0,name:a.name,slug:a.slug,aliases:a.aliases,dir:a.dir,description:a.description,category:a.category,stages:a.stages,source:a.source,path:a.path,studio_md:a.studioFile,body:a.body,...a.data}:{found:!1})}case"haiku_studio_stage_get":{let o=Be(t,mge,"haiku_studio_stage_get");if(o)return o;let a=si(t.studio);if(!a)return r({found:!1});let c=t.stage,u=ne(a.path,"stages",c,"STAGE.md");if(!ue(u))return r({found:!1});let l=Pe(u,"utf8"),{data:d,body:f}=re(l);return r({found:!0,...d,body:f,studio:a.name,studio_dir:a.dir,stage_md:u})}case"haiku_settings_get":{let o=Be(t,gge,"haiku_settings_get");if(o)return o;let a=t.field,c="";try{c=ne(Te(),"settings.yml")}catch{}if(!(c&&ue(c)))return r({found:!1,field:a,value:null});let u=Pe(c,"utf8"),l=nbt(u),d=y9n(l,a);return r({found:d!=null,field:a,value:d??null})}case"haiku_settings_set":{let o=Be(t,yge,"haiku_settings_set");if(o)return o;let a=t.field,c=t.value,u=(m,g)=>r({error:m,field:a,message:g},{isError:!0}),l="";try{l=ne(Te(),"settings.yml")}catch(m){return u("haiku_root_not_found",`No .haiku/ directory found: ${m.message}`)}let f={...ue(l)?nbt(Pe(l,"utf8")):{}};if(c==null?delete f[a]:f[a]=c,!f9n(f)){let m=p9n()[0];return u("settings_field_validation_failed",`Field '${a}' fails settings.schema.json validation: ${m?.instancePath||"(root)"} ${m?.message||"invalid"}.`)}let h=Ct.default.engines.yaml.stringify(f);return In(l,h),r({ok:!0,field:a,message:c==null?`Deleted '${a}' from .haiku/settings.yml`:`Set '${a}' in .haiku/settings.yml`})}case"haiku_intent_set":{let o=Be(t,uge,"haiku_intent_set");if(o)return o;let a=t.intent,c=t.field,u=t.value,l=(h,m)=>r({error:h,intent:a,field:c,message:m},{isError:!0}),d=mb();if(!d&&QT.includes(c))return l("intent_field_engine_only",`Field '${c}' is workflow engine-managed \u2014 agents cannot set it. Engine-only fields: ${QT.join(", ")}.`);if(!d&&kY.includes(c))return l("intent_field_immutable",`Field '${c}' is immutable after creation.`);if(!XT.includes(c))return l("intent_field_unknown",`Field '${c}' is not in INTENT_FRONTMATTER_SCHEMA. Allowed: ${XT.filter(h=>!kY.includes(h)).join(", ")}.`);let f="";try{f=ne(pe(a),"intent.md")}catch(h){return l("haiku_root_not_found",`Could not resolve intent dir: ${h.message}`)}if(!ue(f))return l("intent_not_found",`Intent '${a}' not found at ${f}.`);let p={[c]:u};if(!R0(p)){let h=R0.errors?.[0];return l("intent_field_type_mismatch",`Field '${c}' fails INTENT_FRONTMATTER_SCHEMA validation: ${h?.instancePath||"(root)"} ${h?.message||"invalid"}.`)}return Me(f,c,u),wt(`haiku: intent ${a} set ${c} via haiku_intent_set`),r({ok:!0,intent:a,field:c,message:`Set intent.${c} on '${a}'.`})}case"haiku_stage_set":{let o=Be(t,Fge,"haiku_stage_set");if(o)return o;let a=t.intent,c=t.stage,u=t.field;t.value;let l=(d,f)=>r({error:d,intent:a,stage:c,field:u,message:f},{isError:!0});return!u||typeof u!="string"?l("stage_field_required","`field` is required"):l("stage_field_engine_only",`Stage state.json is workflow engine-managed \u2014 agents cannot set fields directly. Stage fields are mutated by haiku_run_next ticks (start, advance phase, complete) and lifecycle tools (haiku_unit_advance_hat, haiku_feedback_advance_hat). To force a stage transition manually, use /haiku:haiku-repair, or file a stage_revisit feedback via \`haiku_feedback({ resolution: "stage_revisit" })\` to re-open the target stage. Field '${u}' on stage '${c}' of intent '${a}' was not written.`)}case"haiku_capacity":{let o=Be(t,Sge,"haiku_capacity");if(o)return o;let a=t.studio||"",c=a||null,u;try{u=Te()}catch{return r({markdown:"No .haiku directory found.",studio:c})}let l=ne(u,"intents");if(!ue(l))return r({markdown:"No intents found.",studio:c});let d=Fg(l),f=m=>{if(m.length===0)return 0;let g=[...m].sort((b,S)=>b-S),y=Math.floor(g.length/2);return g.length%2!==0?g[y]:(g[y-1]+g[y])/2},p=new Map;for(let{slug:m,data:g}of d){let y=g.studio||"unassigned";if(a&&y!==a)continue;p.has(y)||p.set(y,[]);let b=typeof g.plugin_version=="string",S=g.status||"",E=b?typeof g.sealed_at=="string"&&g.sealed_at?"completed":"active":"",_=S||E||"unknown";p.get(y)?.push({slug:m,status:_,data:g})}if(p.size===0)return r({markdown:a?`No intents found for studio '${a}'.`:"No intents found.",studio:c});let h=`# Capacity Report
+`;for(let[m,g]of p){let y=g.filter(E=>E.status==="completed").length,b=g.filter(E=>E.status==="active").length;h+=`
 ## Studio: ${m}
-`,h+=`- Total intents: ${y.length}
-`,h+=`- Completed: ${g}
-`,h+=`- Active: ${E}
-`;let S=new Map;for(let b of y){let _=ne(l,b.slug,"stages");if(ue(_))for(let T of an(_)){let A=ne(_,T,"units");if(ue(A)){S.has(T)||S.set(T,[]);for(let R of an(A).filter(x=>x.endsWith(".md"))){let{data:x}=re(Ne(ne(A,R),"utf8")),k=null;typeof x.bolt=="number"?k=x.bolt:Array.isArray(x.iterations)&&(k=x.iterations.length),k!==null&&S.get(T)?.push(k)}}}}if(S.size>0){h+=`
+`,h+=`- Total intents: ${g.length}
+`,h+=`- Completed: ${y}
+`,h+=`- Active: ${b}
+`;let S=new Map;for(let E of g){let _=ne(l,E.slug,"stages");if(ue(_))for(let T of an(_)){let R=ne(_,T,"units");if(ue(R)){S.has(T)||S.set(T,[]);for(let A of an(R).filter(x=>x.endsWith(".md"))){let{data:x}=re(Pe(ne(R,A),"utf8")),k=null;typeof x.bolt=="number"?k=x.bolt:Array.isArray(x.iterations)&&(k=x.iterations.length),k!==null&&S.get(T)?.push(k)}}}}if(S.size>0){h+=`
 | Stage | Units | Median Iterations |
 |-------|-------|-------------------|
-`;for(let[b,_]of S)h+=`| ${b} | ${_.length} | ${f(_)} |
-`}}return r({markdown:h,studio:c})}case"haiku_zap":{let o=Be(t,uge,"haiku_zap");if(o)return o;let a=mZn(t);return r(a,a.error?{isError:!0}:void 0)}case"haiku_review":{let o=Be(t,lge,"haiku_review");if(o)return o;let a=pc();try{let m=K9("git",["rev-parse","--abbrev-ref","@{upstream}"],{encoding:"utf8",stdio:"pipe"});m.status===0&&m.stdout.trim()&&(a=m.stdout.trim())}catch{}let c="",u="",l="";try{c=K9("git",["diff",`${a}...HEAD`],{encoding:"utf8",stdio:"pipe",maxBuffer:10485760}).stdout||"",u=K9("git",["diff","--stat",`${a}...HEAD`],{encoding:"utf8",stdio:"pipe"}).stdout||"",l=K9("git",["diff","--name-only",`${a}...HEAD`],{encoding:"utf8",stdio:"pipe"}).stdout||""}catch{}let d=1e5;c.length>d&&(c=`${c.slice(0,d)}
+`;for(let[E,_]of S)h+=`| ${E} | ${_.length} | ${f(_)} |
+`}}return r({markdown:h,studio:c})}case"haiku_zap":{let o=Be(t,bge,"haiku_zap");if(o)return o;let a=P9n(t);return r(a,a.error?{isError:!0}:void 0)}case"haiku_review":{let o=Be(t,Ege,"haiku_review");if(o)return o;let a=Zo();try{let m=aZ("git",["rev-parse","--abbrev-ref","@{upstream}"],{encoding:"utf8",stdio:"pipe"});m.status===0&&m.stdout.trim()&&(a=m.stdout.trim())}catch{}let c="",u="",l="";try{c=aZ("git",["diff",`${a}...HEAD`],{encoding:"utf8",stdio:"pipe",maxBuffer:10485760}).stdout||"",u=aZ("git",["diff","--stat",`${a}...HEAD`],{encoding:"utf8",stdio:"pipe"}).stdout||"",l=aZ("git",["diff","--name-only",`${a}...HEAD`],{encoding:"utf8",stdio:"pipe"}).stdout||""}catch{}let d=1e5;c.length>d&&(c=`${c.slice(0,d)}
 
-... [TRUNCATED at 100k chars] ...`);let f="",p=process.cwd();for(let m of["REVIEW.md","CLAUDE.md"]){let y=ne(p,m);ue(y)&&(f+=`
+... [TRUNCATED at 100k chars] ...`);let f="",p=process.cwd();for(let m of["REVIEW.md","CLAUDE.md"]){let g=ne(p,m);ue(g)&&(f+=`
 ### ${m}
-${Ne(y,"utf8").slice(0,5e3)}
+${Pe(g,"utf8").slice(0,5e3)}
 `)}let h=`## Pre-Delivery Code Review
 `;return h+=`Diff base: ${a}
 
@@ -848,17 +847,17 @@ ${c||"No changes detected."}
 `,h+=`2. Collect findings, deduplicate across agents
 `,h+=`3. Fix all HIGH severity findings before delivery
 `,h+=`4. Report findings summary to the user
-`,n(h)}case"haiku_backlog":{let o=Be(t,fge,"haiku_backlog");if(o)return o;let a=t.action||"list",c=d=>r({markdown:d,action:a}),u;try{u=ve()}catch{return c("No .haiku directory found.")}let l=ne(u,"backlog");switch(a){case"list":{if(!ue(l))return c("No backlog items found.");let d=an(l).filter(p=>p.endsWith(".md"));if(d.length===0)return c("No backlog items found.");let f=`# Backlog
+`,n(h)}case"haiku_backlog":{let o=Be(t,Tge,"haiku_backlog");if(o)return o;let a=t.action||"list",c=d=>r({markdown:d,action:a}),u;try{u=Te()}catch{return c("No .haiku directory found.")}let l=ne(u,"backlog");switch(a){case"list":{if(!ue(l))return c("No backlog items found.");let d=an(l).filter(p=>p.endsWith(".md"));if(d.length===0)return c("No backlog items found.");let f=`# Backlog
 
 | # | Item | Priority | Created |
 |---|------|----------|---------|
-`;for(let p=0;p<d.length;p++){let{data:h}=re(Ne(ne(l,d[p]),"utf8"));f+=`| ${p+1} | ${d[p].replace(".md","")} | ${h.priority||"unset"} | ${h.created_at||"unknown"} |
+`;for(let p=0;p<d.length;p++){let{data:h}=re(Pe(ne(l,d[p]),"utf8"));f+=`| ${p+1} | ${d[p].replace(".md","")} | ${h.priority||"unset"} | ${h.created_at||"unknown"} |
 `}return c(f)}case"add":{let d=t.description||"",f=`## Add Backlog Item
 
 `;return f+="Create a new file in `.haiku/backlog/` with this template:\n\n",f+=`\`\`\`markdown
 ---
 priority: medium
-created_at: ${bn()}
+created_at: ${En()}
 ---
 
 `,f+=`${d||"Description of the backlog item"}
@@ -867,10 +866,10 @@ created_at: ${bn()}
 
 Present each item to the user and ask: **Keep / Reprioritize / Drop / Promote / Skip**
 
-`;for(let p=0;p<d.length;p++){let h=Ne(ne(l,d[p]),"utf8"),{data:m,body:y}=re(h);f+=`### ${p+1}. ${d[p].replace(".md","")}
+`;for(let p=0;p<d.length;p++){let h=Pe(ne(l,d[p]),"utf8"),{data:m,body:g}=re(h);f+=`### ${p+1}. ${d[p].replace(".md","")}
 `,f+=`- Priority: ${m.priority||"unset"}
 `,f+=`- Created: ${m.created_at||"unknown"}
-`,f+=`${y.slice(0,300)}
+`,f+=`${g.slice(0,300)}
 
 `}return f+=`---
 For each item, ask the user and apply their choice.
@@ -880,7 +879,7 @@ For each item, ask the user and apply their choice.
 `,d+=`1. Read the backlog item file
 `,d+=`2. Use /haiku:haiku-start to create an intent from its description
 `,d+=`3. Delete the backlog file after the intent is created
-`,c(d)}default:return c(`Unknown backlog action: '${a}'. Valid actions: list, add, review, promote.`)}}case"haiku_seed":{let o=Be(t,pge,"haiku_seed");if(o)return o;let a=t.action||"list",c;try{c=ve()}catch{return n("No .haiku directory found.")}let u=ne(c,"seeds");switch(a){case"list":{if(!ue(u))return n("No seeds found.");let l=an(u).filter(p=>p.endsWith(".md"));if(l.length===0)return n("No seeds found.");let d=new Map;for(let p of l){let{data:h}=re(Ne(ne(u,p),"utf8")),m=h.status||"planted";d.has(m)||d.set(m,[]),d.get(m)?.push({name:p.replace(".md",""),data:h})}let f=`# Seeds
+`,c(d)}default:return c(`Unknown backlog action: '${a}'. Valid actions: list, add, review, promote.`)}}case"haiku_seed":{let o=Be(t,vge,"haiku_seed");if(o)return o;let a=t.action||"list",c;try{c=Te()}catch{return n("No .haiku directory found.")}let u=ne(c,"seeds");switch(a){case"list":{if(!ue(u))return n("No seeds found.");let l=an(u).filter(p=>p.endsWith(".md"));if(l.length===0)return n("No seeds found.");let d=new Map;for(let p of l){let{data:h}=re(Pe(ne(u,p),"utf8")),m=h.status||"planted";d.has(m)||d.set(m,[]),d.get(m)?.push({name:p.replace(".md",""),data:h})}let f=`# Seeds
 `;for(let[p,h]of d){f+=`
 ## ${p.charAt(0).toUpperCase()+p.slice(1)} (${h.length})
 
@@ -893,75 +892,79 @@ For each item, ask the user and apply their choice.
 ---
 status: planted
 trigger: "<condition that should cause this to surface>"
-created_at: ${bn()}
+created_at: ${En()}
 ---
 
-`,l+="Description of the idea or future work.\n```\n",l+="\nFilename should be a slug of the seed idea (e.g. `add-caching-layer.md`).\n",n(l)}case"check":{if(!ue(u))return n("No seeds to check.");let d=an(u).filter(p=>p.endsWith(".md")).filter(p=>{let{data:h}=re(Ne(ne(u,p),"utf8"));return h.status==="planted"});if(d.length===0)return n("No planted seeds to check.");let f=`## Seed Check
+`,l+="Description of the idea or future work.\n```\n",l+="\nFilename should be a slug of the seed idea (e.g. `add-caching-layer.md`).\n",n(l)}case"check":{if(!ue(u))return n("No seeds to check.");let d=an(u).filter(p=>p.endsWith(".md")).filter(p=>{let{data:h}=re(Pe(ne(u,p),"utf8"));return h.status==="planted"});if(d.length===0)return n("No planted seeds to check.");let f=`## Seed Check
 
 Evaluate each planted seed's trigger condition against the current project state:
 
-`;for(let p of d){let{data:h,body:m}=re(Ne(ne(u,p),"utf8"));f+=`### ${p.replace(".md","")}
+`;for(let p of d){let{data:h,body:m}=re(Pe(ne(u,p),"utf8"));f+=`### ${p.replace(".md","")}
 `,f+=`- Trigger: ${h.trigger||"none defined"}
 `,f+=`- Description: ${m.slice(0,300)}
 
 `}return f+=`---
 For each seed: if the trigger condition is met, update its status to 'surfaced'. If not, leave as 'planted'.
-`,n(f)}default:return n(`Unknown seed action: '${a}'. Valid actions: list, plant, check.`)}}case"haiku_release_notes":{let o=Be(t,hge,"haiku_release_notes");if(o)return o;let a=t.version||"",c=a||null,u=E=>r({markdown:E,version:c}),l="",d=nn();if(d){let E=ne(d,"CHANGELOG.md");ue(E)&&(l=E)}if(!l){let E=process.cwd();for(let S=0;S<20;S++){let b=ne(E,"CHANGELOG.md");if(ue(b)){l=b;break}let _=ne(E,"..");if(_===E)break;E=_}}if(!l)return u("No CHANGELOG.md found.");let f=Ne(l,"utf8"),p=/^## \[([^\]]+)\]/gm,h=[],m=p.exec(f);for(;m!==null;)h.push({version:m[1],start:m.index}),m=p.exec(f);if(h.length===0)return u("No versioned entries found in CHANGELOG.md.");if(a){let E=h.findIndex(_=>_.version===a);if(E===-1)return u(`Version '${a}' not found in CHANGELOG.md. Available: ${h.slice(0,10).map(_=>_.version).join(", ")}`);let S=E+1<h.length?h[E+1].start:f.length,b=f.slice(h[E].start,S).trim();return u(`# Release Notes
+`,n(f)}default:return n(`Unknown seed action: '${a}'. Valid actions: list, plant, check.`)}}case"haiku_release_notes":{let o=Be(t,Rge,"haiku_release_notes");if(o)return o;let a=t.version||"",c=a||null,u=b=>r({markdown:b,version:c}),l="",d=nn();if(d){let b=ne(d,"CHANGELOG.md");ue(b)&&(l=b)}if(!l){let b=process.cwd();for(let S=0;S<20;S++){let E=ne(b,"CHANGELOG.md");if(ue(E)){l=E;break}let _=ne(b,"..");if(_===b)break;b=_}}if(!l)return u("No CHANGELOG.md found.");let f=Pe(l,"utf8"),p=/^## \[([^\]]+)\]/gm,h=[],m=p.exec(f);for(;m!==null;)h.push({version:m[1],start:m.index}),m=p.exec(f);if(h.length===0)return u("No versioned entries found in CHANGELOG.md.");if(a){let b=h.findIndex(_=>_.version===a);if(b===-1)return u(`Version '${a}' not found in CHANGELOG.md. Available: ${h.slice(0,10).map(_=>_.version).join(", ")}`);let S=b+1<h.length?h[b+1].start:f.length,E=f.slice(h[b].start,S).trim();return u(`# Release Notes
 
-${b}
+${E}
 
 ---
-Total releases in changelog: ${h.length}`)}let y=h.slice(0,5),g=`# Recent Release Notes
-`;for(let E=0;E<y.length;E++){let S=E+1<h.length?h[E+1].start:f.length;g+=`
-${f.slice(y[E].start,S).trim()}
-`}return g+=`
+Total releases in changelog: ${h.length}`)}let g=h.slice(0,5),y=`# Recent Release Notes
+`;for(let b=0;b<g.length;b++){let S=b+1<h.length?h[b+1].start:f.length;y+=`
+${f.slice(g[b].start,S).trim()}
+`}return y+=`
 ---
 Total releases in changelog: ${h.length}
-`,u(g)}case"haiku_repair":{let o=Be(t,gge,"haiku_repair");if(o)return o;let a=t.intent,c=t.apply!==!1,u=t.skip_branches===!0,l=m=>r({markdown:m}),d=c?JSt():{moved:[],skipped:[],cleanedSkeletons:[]},f=I4n(d);if(Re()&&!a&&!u)try{let{summaries:m,mainline:y,archivedSummary:g}=x4n(c);if(m.length>0||g){let E=N4n(m,y,g);return l(f?`${f}
-${E}`:E)}}catch(m){let y=`Multi-branch repair failed: ${m instanceof Error?m.message:String(m)}`;return l(f?`${f}
-${y}`:y)}try{ve()}catch{return l(f?`${f}
-No .haiku/ directory found.`:"No .haiku/ directory found.")}let p;try{p=YSt(void 0,a,c)}catch(m){let y=`Repair failed: ${m instanceof Error?m.message:String(m)}`;return l(f?`${f}
-${y}`:y)}if(a&&p.scanned===0){let m=`Intent '${a}' not found.`;return l(f?`${f}
+`,u(y)}case"haiku_repair":{let o=Be(t,wge,"haiku_repair");if(o)return o;let a=t.intent,c=t.apply!==!1,u=t.skip_branches===!0,l=m=>r({markdown:m}),d=c?ubt():{moved:[],skipped:[],cleanedSkeletons:[]},f=G3n(d);if(ve()&&!a&&!u)try{let{summaries:m,mainline:g,archivedSummary:y}=V3n(c);if(m.length>0||y){let b=K3n(m,g,y);return l(f?`${f}
+${b}`:b)}}catch(m){let g=`Multi-branch repair failed: ${m instanceof Error?m.message:String(m)}`;return l(f?`${f}
+${g}`:g)}try{Te()}catch{return l(f?`${f}
+No .haiku/ directory found.`:"No .haiku/ directory found.")}let p;try{p=cbt(void 0,a,c)}catch(m){let g=`Repair failed: ${m instanceof Error?m.message:String(m)}`;return l(f?`${f}
+${g}`:g)}if(a&&p.scanned===0){let m=`Intent '${a}' not found.`;return l(f?`${f}
 ${m}`:m)}if(p.scanned===0)return l(f?`${f}
-No intents found.`:"No intents found.");let h=w4n(p);return l(f?`${f}
-${h}`:h)}case"haiku_feedback":{let o=Be(t,Dme,"haiku_feedback");if(o)return o;let a=t.intent,c=t.stage||"",u=t.title,l=t.body,d=t.severity,f=t.origin||void 0,p=t.source_ref||void 0,h=t.author||void 0,m=t.resolution||void 0,y=t.inline_anchor,g=y?{selectedText:y.selected_text,paragraph:y.paragraph,location:y.location,...y.comment_id?{commentId:y.comment_id}:{},...y.file_path?{filePath:y.file_path}:{},...y.content_sha?{contentSha:y.content_sha}:{}}:void 0,E=ne(pe(a),"intent.md");if(!ue(E))return{content:[{type:"text",text:`Error: intent '${a}' not found`}],isError:!0};let S=$o(a,c||void 0);if(S)return S;if(c){let k=ar(a,c);if(!ue(k)){let{data:N}=re(Ne(E,"utf8"));if(!(N.stages||[]).includes(c))return{content:[{type:"text",text:`Error: stage '${c}' not found under intent '${a}'`}],isError:!0};Cl(k,{recursive:!0})}}let b=t.target_unit===void 0?void 0:t.target_unit===null?null:t.target_unit,_=Array.isArray(t.target_invalidates)?t.target_invalidates:void 0,T=Xo(a,c,{title:u,body:l,origin:f,severity:d,author:h,source_ref:p??null,resolution:m??null,...g?{inlineAnchor:g}:{},...b!==void 0?{targetUnit:b}:{},..._!==void 0?{targetInvalidates:_}:{}}),A=It(c?`feedback: create ${T.feedback_id} in ${c}`:`feedback: create ${T.feedback_id} (intent-scope)`),R={feedback_id:T.feedback_id,file:T.file,status:"pending",message:`Feedback ${T.feedback_id} created.`},x=eEt(a,c,{title:u,body:l,targetUnit:b??null});return x&&(R.duplicate_warning={matches:x.id,settled_status:x.status,resolution:x.resolution,message:`This finding closely matches ${x.id}, already ${x.status} (${x.resolution||"no resolution recorded"}). If that resolution still stands, reject this as a duplicate via haiku_feedback_reject; only keep it if you have new evidence the prior resolution was wrong.`}),r(J9(R,A))}case"haiku_feedback_update":return r({error:"feedback_update_removed_in_v4",message:"haiku_feedback_update is removed in v4. Closure runs through the fix-hat sequence (call haiku_feedback_advance_hat on the terminal hat). targets.invalidates is set at create time via haiku_feedback. To reject without closure, call haiku_feedback_reject."},{isError:!0});case"haiku_feedback_delete":{let o=Be(t,qme,"haiku_feedback_delete");if(o)return o;let a=t.intent,c=t.stage||"",u=Hd(t.feedback_id);if(!a)return{content:[{type:"text",text:"Error: intent is required"}],isError:!0};if(!u)return{content:[{type:"text",text:"Error: feedback_id is required"}],isError:!0};let l=$o(a,c||void 0);if(l)return l;let d=aY(a,c,u,"agent");if(!d.ok)return{content:[{type:"text",text:d.error}],isError:!0};let f=It(c?`feedback: delete ${u} from ${c}`:`feedback: delete ${u} (intent-scope)`),p={feedback_id:u,deleted:!0,message:c?`Feedback ${u} deleted from stage '${c}'.`:`Feedback ${u} deleted (intent-scope).`};return r(J9(p,f))}case"haiku_feedback_move":{let o=Be(t,Bme,"haiku_feedback_move");if(o)return o;let a=t.intent,c=t.stage||"",u=Hd(t.feedback_id),l=t.to_stage||"";if(!a)return{content:[{type:"text",text:"Error: intent is required"}],isError:!0};if(!u)return{content:[{type:"text",text:"Error: feedback_id is required"}],isError:!0};if(typeof t.to_stage!="string")return{content:[{type:"text",text:'Error: to_stage is required (use "" for intent-scope)'}],isError:!0};let d=ne(pe(a),"intent.md");if(!ue(d))return{content:[{type:"text",text:`Error: intent '${a}' not found`}],isError:!0};if(l){let{data:S}=re(Ne(d,"utf8")),b=S.stages||[];if(!b.includes(l))return{content:[{type:"text",text:`Error: to_stage '${l}' is not a stage of intent '${a}'. Valid stages: ${b.join(", ")}`}],isError:!0}}let f=Sc(a,c,u);if(!f)return{content:[{type:"text",text:c?`Error: feedback '${u}' not found in stage '${c}'`:`Error: feedback '${u}' not found (intent-scope)`}],isError:!0};let p=ep(f.data);if(p==="closed"||p==="rejected"||p==="non_actionable")return r({error:"lifecycle_violation",current_status:p,message:`Cannot move feedback '${u}' \u2014 status is '${p}'. Per the forward-only lifecycle rule, closed, rejected, and non-actionable feedback are terminal.`},{isError:!0});let h=$o(a,l||void 0);if(h)return h;let m=dEt(a,c,u,l);if(!m)return{content:[{type:"text",text:c?`Error: feedback '${u}' not found in stage '${c}'`:`Error: feedback '${u}' not found (intent-scope)`}],isError:!0};let y=m.moved?`feedback: move ${u} from ${c||"intent-scope"} to ${l||"intent-scope"} (now ${m.feedback_id})`:`feedback: triage-confirm ${u} in ${c||"intent-scope"}`,g=It(y),E={feedback_id:m.feedback_id,file:m.file,moved:m.moved,triaged_at:m.triaged_at,message:m.moved?`Feedback moved from ${c||"intent-scope"} to ${l||"intent-scope"} as ${m.feedback_id}.`:`Feedback ${u} placement confirmed.`};return r(J9(E,g))}case"haiku_feedback_reject":{let o=Be(t,Gme,"haiku_feedback_reject");if(o)return o;let a=t.intent,c=t.stage||"",u=Hd(t.feedback_id),l=t.reason;if(!a)return{content:[{type:"text",text:"Error: intent is required"}],isError:!0};if(!u)return{content:[{type:"text",text:"Error: feedback_id is required"}],isError:!0};if(!l)return{content:[{type:"text",text:"Error: reason is required when rejecting feedback"}],isError:!0};let d=$o(a,c||void 0);if(d)return d;let f=Sc(a,c,u);if(!f)return{content:[{type:"text",text:c?`Error: feedback '${u}' not found in stage '${c}'`:`Error: feedback '${u}' not found (intent-scope)`}],isError:!0};if(f.data.author_type==="human")return{content:[{type:"text",text:"Error: agents cannot reject human-authored feedback. Only the user can reject it via the review UI."}],isError:!0};let p=ep(f.data);if(p==="closed"||p==="rejected")return{content:[{type:"text",text:`Error: feedback '${u}' is already '${p}' -- cannot reject again`}],isError:!0};let h={...f.data,rejected_at:new Date().toISOString()};sY(h);let m=`${f.body}
+No intents found.`:"No intents found.");let h=B3n(p);return l(f?`${f}
+${h}`:h)}case"haiku_feedback":{let o=Be(t,Vme,"haiku_feedback");if(o)return o;let a=t.intent,c=t.stage||"",u=t.title,l=t.body,d=t.severity,f=t.origin||void 0,p=t.source_ref||void 0,h=t.author||void 0,m=t.resolution||void 0,g=t.inline_anchor,y=g?{selectedText:g.selected_text,paragraph:g.paragraph,location:g.location,...g.comment_id?{commentId:g.comment_id}:{},...g.file_path?{filePath:g.file_path}:{},...g.content_sha?{contentSha:g.content_sha}:{}}:void 0,b=ne(pe(a),"intent.md");if(!ue(b))return{content:[{type:"text",text:`Error: intent '${a}' not found`}],isError:!0};let S=ea(a,c||void 0);if(S)return S;if(c){let k=ar(a,c);if(!ue(k)){let{data:P}=re(Pe(b,"utf8"));if(!(P.stages||[]).includes(c))return{content:[{type:"text",text:`Error: stage '${c}' not found under intent '${a}'`}],isError:!0};Dl(k,{recursive:!0})}}let E=t.target_unit===void 0?void 0:t.target_unit===null?null:t.target_unit,_=Array.isArray(t.target_invalidates)?t.target_invalidates:void 0,T=Qo(a,c,{title:u,body:l,origin:f,severity:d,author:h,source_ref:p??null,resolution:m??null,...y?{inlineAnchor:y}:{},...E!==void 0?{targetUnit:E}:{},..._!==void 0?{targetInvalidates:_}:{}}),R=wt(c?`feedback: create ${T.feedback_id} in ${c}`:`feedback: create ${T.feedback_id} (intent-scope)`),A={feedback_id:T.feedback_id,file:T.file,status:"pending",message:`Feedback ${T.feedback_id} created.`},x=pbt(a,c,{title:u,body:l,targetUnit:E??null});return x&&(A.duplicate_warning={matches:x.id,settled_status:x.status,resolution:x.resolution,message:`This finding closely matches ${x.id}, already ${x.status} (${x.resolution||"no resolution recorded"}). If that resolution still stands, reject this as a duplicate via haiku_feedback_reject; only keep it if you have new evidence the prior resolution was wrong.`}),r(lZ(A,R))}case"haiku_feedback_update":return r({error:"feedback_update_removed_in_v4",message:"haiku_feedback_update is removed in v4. Closure runs through the fix-hat sequence (call haiku_feedback_advance_hat on the terminal hat). targets.invalidates is set at create time via haiku_feedback. To reject without closure, call haiku_feedback_reject."},{isError:!0});case"haiku_feedback_delete":{let o=Be(t,Xme,"haiku_feedback_delete");if(o)return o;let a=t.intent,c=t.stage||"",u=zd(t.feedback_id);if(!a)return{content:[{type:"text",text:"Error: intent is required"}],isError:!0};if(!u)return{content:[{type:"text",text:"Error: feedback_id is required"}],isError:!0};let l=ea(a,c||void 0);if(l)return l;let d=_Z(a,c,u,"agent");if(!d.ok)return{content:[{type:"text",text:d.error}],isError:!0};let f=wt(c?`feedback: delete ${u} from ${c}`:`feedback: delete ${u} (intent-scope)`),p={feedback_id:u,deleted:!0,message:c?`Feedback ${u} deleted from stage '${c}'.`:`Feedback ${u} deleted (intent-scope).`};return r(lZ(p,f))}case"haiku_feedback_move":{let o=Be(t,Qme,"haiku_feedback_move");if(o)return o;let a=t.intent,c=t.stage||"",u=zd(t.feedback_id),l=t.to_stage||"";if(!a)return{content:[{type:"text",text:"Error: intent is required"}],isError:!0};if(!u)return{content:[{type:"text",text:"Error: feedback_id is required"}],isError:!0};if(typeof t.to_stage!="string")return{content:[{type:"text",text:'Error: to_stage is required (use "" for intent-scope)'}],isError:!0};let d=ne(pe(a),"intent.md");if(!ue(d))return{content:[{type:"text",text:`Error: intent '${a}' not found`}],isError:!0};if(l){let{data:S}=re(Pe(d,"utf8")),E=S.stages||[];if(!E.includes(l))return{content:[{type:"text",text:`Error: to_stage '${l}' is not a stage of intent '${a}'. Valid stages: ${E.join(", ")}`}],isError:!0}}let f=bc(a,c,u);if(!f)return{content:[{type:"text",text:c?`Error: feedback '${u}' not found in stage '${c}'`:`Error: feedback '${u}' not found (intent-scope)`}],isError:!0};let p=np(f.data);if(p==="closed"||p==="rejected"||p==="non_actionable")return r({error:"lifecycle_violation",current_status:p,message:`Cannot move feedback '${u}' \u2014 status is '${p}'. Per the forward-only lifecycle rule, closed, rejected, and non-actionable feedback are terminal.`},{isError:!0});let h=ea(a,l||void 0);if(h)return h;let m=Rbt(a,c,u,l);if(!m)return{content:[{type:"text",text:c?`Error: feedback '${u}' not found in stage '${c}'`:`Error: feedback '${u}' not found (intent-scope)`}],isError:!0};let g=m.moved?`feedback: move ${u} from ${c||"intent-scope"} to ${l||"intent-scope"} (now ${m.feedback_id})`:`feedback: triage-confirm ${u} in ${c||"intent-scope"}`,y=wt(g),b={feedback_id:m.feedback_id,file:m.file,moved:m.moved,triaged_at:m.triaged_at,message:m.moved?`Feedback moved from ${c||"intent-scope"} to ${l||"intent-scope"} as ${m.feedback_id}.`:`Feedback ${u} placement confirmed.`};return r(lZ(b,y))}case"haiku_feedback_reject":{let o=Be(t,$me,"haiku_feedback_reject");if(o)return o;let a=t.intent,c=t.stage||"",u=zd(t.feedback_id),l=t.reason;if(!a)return{content:[{type:"text",text:"Error: intent is required"}],isError:!0};if(!u)return{content:[{type:"text",text:"Error: feedback_id is required"}],isError:!0};if(!l)return{content:[{type:"text",text:"Error: reason is required when rejecting feedback"}],isError:!0};let d=ea(a,c||void 0);if(d)return d;let f=bc(a,c,u);if(!f)return{content:[{type:"text",text:c?`Error: feedback '${u}' not found in stage '${c}'`:`Error: feedback '${u}' not found (intent-scope)`}],isError:!0};if(f.data.author_type==="human")return{content:[{type:"text",text:"Error: agents cannot reject human-authored feedback. Only the user can reject it via the review UI."}],isError:!0};let p=np(f.data);if(p==="closed"||p==="rejected")return{content:[{type:"text",text:`Error: feedback '${u}' is already '${p}' -- cannot reject again`}],isError:!0};let h={...f.data,rejected_at:new Date().toISOString()};bZ(h);let m=`${f.body}
 
 ---
 
-**Rejection reason:** ${l}`;In(f.path,Nt.default.stringify(`
+**Rejection reason:** ${l}`;In(f.path,Ct.default.stringify(`
 ${m}
-`,h));let y=It(c?`feedback: reject ${u} in ${c}`:`feedback: reject ${u} (intent-scope)`);J3(a,c||"intent",u);let g=null;try{let S=ne(pe(a),"intent.md"),b=ue(S)?re(Ne(S,"utf8")).data.studio??"":"";b&&(g=F0(a,()=>Uye(a,b)))}catch{}let E={feedback_id:u,status:"rejected",next_subagent_dispatch_block:g,message:g?`Feedback ${u} rejected: ${l}. Relay the \`next_subagent_dispatch_block\` field verbatim as your final message to start the next finding.`:`Feedback ${u} rejected: ${l}. No further undispatched findings \u2014 call \`haiku_run_next { intent: "${a}" }\` for the next instruction.`};return r(J9(E,y))}case"haiku_feedback_list":{let o=Be(t,zme,"haiku_feedback_list");if(o)return o;let a=t.intent,c=t.stage||void 0,u=typeof t.closed=="boolean"?t.closed:void 0;if(!a)return{content:[{type:"text",text:"Error: intent is required"}],isError:!0};let l=ne(pe(a),"intent.md");if(!ue(l))return{content:[{type:"text",text:`Error: intent '${a}' not found`}],isError:!0};let d=$o(a,c??t1(a));if(d)return d;let f;if(c)f=[c];else{let y=ne(pe(a),"stages");ue(y)?f=an(y).filter(g=>ue(ne(y,g))):f=[]}let p=y=>y.status==="closed"||y.status==="rejected"||y.status==="addressed"||y.status==="answered",h=[];for(let y of f){let g=Us(a,y);for(let E of g){if(u!==void 0&&p(E)!==u)continue;let S={feedback_id:E.id,file:E.file,title:E.title,status:E.status,origin:E.origin,author:E.author,author_type:E.author_type,created_at:E.created_at,visit:E.visit,source_ref:E.source_ref,closed_by:E.closed_by,closed_at:E.closed_at,bolt:E.bolt,triaged_at:E.triaged_at};c||(S.stage=y),h.push(S)}}if(!c){let y=Us(a,"");for(let g of y)u!==void 0&&p(g)!==u||h.push({feedback_id:g.id,file:g.file,title:g.title,status:g.status,origin:g.origin,author:g.author,author_type:g.author_type,created_at:g.created_at,visit:g.visit,source_ref:g.source_ref,closed_by:g.closed_by,closed_at:g.closed_at,bolt:g.bolt,triaged_at:g.triaged_at,stage:null})}let m={intent:a,stage:c||null,count:h.length,items:h};return r(m)}case"haiku_feedback_read":{let o=Be(t,Vme,"haiku_feedback_read");if(o)return o;let a=t.intent,c=t.stage||"",u=Hd(t.feedback_id);if(!a||!u)return r({error:"missing_args",message:"intent and feedback_id are required."},{isError:!0});let l=c?lo(a,c):lo(a,"");if(!ue(l))return r({error:"feedback_not_found",intent:a,stage:c||null,feedback_id:u,message:`No feedback directory at ${l}.`},{isError:!0});let d=null,f=null,p=null,h=u.match(/^(?:FB-)?(\d+)$/i),m=h?Number.parseInt(h[1],10):null;for(let S of an(l).filter(b=>b.endsWith(".md"))){let b=ne(l,S),{data:_,body:T}=re(Ne(b,"utf8")),A=S.match(/^(\d+)-/),R=A?Number.parseInt(A[1],10):null;if(_.id===u||_.feedback_id===u||m!==null&&R===m){d=b,f=_,p=T;break}}if(!d||!p)return r({error:"feedback_not_found",intent:a,stage:c||null,feedback_id:u,message:`No feedback file matching ${u} in ${l}.`},{isError:!0});Bye(d);let y=typeof f?.title=="string"?f.title:"",g=p.match(/^#\s+(.+)$/m),E=y||(g?g[1].trim():u);return r({title:E,body:p})}case"haiku_feedback_write":{let o=Be(t,Wme,"haiku_feedback_write");if(o)return o;let a=t.intent,c=t.stage||"",u=Hd(t.feedback_id),l=t.body??"",d=cv(l);if(!a||!u)return r({error:"missing_args",message:"intent and feedback_id are required."},{isError:!0});if(!d||d.trim().length===0)return r({error:"empty_body",message:"body is required and must be substantive. Empty FB bodies cannot pass the assessor's spec-match check."},{isError:!0});let f=$o(a,c||void 0);if(f)return f;let p=Sc(a,c,u);if(!p){let E=c?lo(a,c):lo(a,"");return r({error:"feedback_not_found",intent:a,stage:c||null,feedback_id:u,message:`No feedback file matching ${u} in ${E}.`},{isError:!0})}let h=p.path,m=p.data,y=m.status||"pending";if(!pE()&&(y==="closed"||y==="rejected"||y==="non_actionable"))return r({error:"lifecycle_violation",current_status:y,message:`Cannot rewrite feedback '${u}' \u2014 status is '${y}'. Per the forward-only lifecycle rule, closed, rejected, and non-actionable feedback are terminal and immutable. To raise a related concern, file a NEW feedback via haiku_feedback.`},{isError:!0});let g=Array.isArray(m.iterations)?m.iterations:[];return!pE()&&g.length>0?r({error:"body_locked",feedback_id:u,iterations:g.length,message:`Feedback '${u}' body is locked \u2014 its fix-hat loop has started (${g.length} iteration(s) on record). The body is the immutable finding; record your per-hat work in the handoff \`message\` on haiku_feedback_advance_hat (or haiku_feedback_reject_hat), which the engine threads into the next hat's dispatch. Do not rewrite the body.`},{isError:!0}):(In(h,Nt.default.stringify(`${d.trimEnd()}
-`,m)),ci(a),Ke("haiku.feedback.body_rewritten",{intent:a,stage:c||"",feedback_id:u}),r({ok:!0,feedback_id:u,stage:c||null,intent:a,message:`Rewrote body of feedback '${u}' (status preserved as '${y}').`}))}case"haiku_feedback_advance_hat":{let o=Be(t,Yme,"haiku_feedback_advance_hat");if(o)return o;let a=t.intent,c=t.stage||"",u=Hd(t.feedback_id);if(!a||!u)return r({error:"missing_args",message:"intent and feedback_id are required."},{isError:!0});let l=$o(a,c||void 0);if(l)return l;let d=Sc(a,c,u);if(!d){let H=c?lo(a,c):lo(a,"");return r({error:"feedback_not_found",intent:a,stage:c||null,feedback_id:u,message:`No feedback file matching ${u} in ${H}.`},{isError:!0})}let f=d.path,p=d.data,h=d.body,m=ep(p);if(m==="closed"||m==="rejected"||m==="non_actionable")return r({error:"lifecycle_violation",current_status:m,message:`Cannot advance hat on FB '${u}' \u2014 already ${m} (terminal).`},{isError:!0});let y=[],g=ne(pe(a),"intent.md"),E="software";if(ue(g)){let{data:H}=re(Ne(g,"utf8"));E=H.studio||"software"}if(c){let H=$i(E,c);H?.data?.fix_hats&&Array.isArray(H.data.fix_hats)&&(y=H.data.fix_hats)}else y=Uf(E);if(y.length===0)return r({error:"no_fix_hats",stage:c||null,scope:c?"stage":"intent",message:c?`Stage '${c}' has no \`fix_hats:\` configured in STAGE.md. The fix-loop FB-as-unit model requires a fix_hats sequence.`:`Studio '${E}' has no fix-hats (looked in the global \`plugin/fix-hats/\` and studio \`plugin/studios/${E}/fix-hats/\`). Intent-completion fix loops require at least one fix-hat.`},{isError:!0});let S=p.hat||"",b=p.bolt||1,T=(S?y.indexOf(S):-1)+1,A=y[T];if(!A)return r({error:"no_hat_to_advance",message:`FB '${u}' is at hat '${S}', already the last hat in fix_hats. The FB should have closed on the prior advance call. State may be inconsistent.`},{isError:!0});let R=T===y.length-1;if((typeof t.resolution=="string"?t.resolution:"")==="non_actionable"){let H=(typeof t.reply=="string"?t.reply.trim():"")||(typeof t.message=="string"?t.message.trim():"");if(!H)return r({error:"reason_required",feedback_id:u,message:`Closing FB '${u}' as non_actionable requires a \`message\` (or \`reply\`) explaining why it has no code fix \u2014 the answer to the question, why it's out of scope, or why the target is immutable/superseded.`},{isError:!0});let j=Array.isArray(p.iterations)?p.iterations.slice():[],W=j[j.length-1],ee={bolt:b,hat:A,completed_at:bn(),result:"closed",message:H};W&&(W.result===null||W.result===void 0)&&W.hat===A?j[j.length-1]={...W,...ee}:j.push(ee);let ie={...p,hat:A,iterations:j,status:"non_actionable",resolution:"non_actionable",closed_at:bn(),closed_by:`${A}:non_actionable`,closure_reply:{text:H,at:bn()},closure_reply_unread:!0};In(f,Nt.default.stringify(`${h.trimEnd()}
-`,ie)),ci(a),J3(a,c||"intent",u),It(`haiku: close fix-chain ${u} (non-actionable)`),Ke("haiku.feedback.non_actionable",{intent:a,stage:c||"",feedback_id:u,hat:A});let Ae=Uye(a,E);return n(JSON.stringify({action:"feedback_non_actionable",feedback_id:u,resolution:"non_actionable",hat:A,next_subagent_dispatch_block:Ae,message:`FB '${u}' closed as non-actionable by '${A}': ${H}`+(Ae?" Spawn the relayed <subagent> block below.":` Call haiku_run_next { intent: "${a}" }.`)}))}let k=typeof t.reply=="string"?t.reply.trim():"",N=typeof t.message=="string"?t.message.trim():"";if(R&&!k)return r({error:"reply_required",feedback_id:u,calling_hat:A,message:`FB '${u}' is about to close on terminal hat '${A}'. Pass a \`reply\` arg with a short plain-language explanation of what was done so the requester can see how the issue was addressed.`},{isError:!0});let P=Array.isArray(p.iterations)?p.iterations.slice():[],C=P[P.length-1];C&&(C.result===null||C.result===void 0)&&C.hat===A?P[P.length-1]={...C,completed_at:bn(),result:R?"closed":"advanced",...N?{message:N}:{}}:P.push({bolt:b,hat:A,completed_at:bn(),result:R?"closed":"advanced",...N?{message:N}:{}});let V=m,K,$;R?(V="closed",K=`fix-loop:${u}:bolt-${b}`,$=bn()):V="addressed";let B=A,X={...p,hat:B,iterations:P,status:V};K&&(X.closed_by=K),$&&(X.closed_at=$),R&&k&&(X.closure_reply={text:k,at:bn()},X.closure_reply_unread=!0),In(f,Nt.default.stringify(`${h.trimEnd()}
-`,X)),ci(a),R&&fSt({slug:a,stage:c??void 0,feedbackId:u,fbFm:p}),Ke(R?"haiku.feedback.closed":"haiku.feedback.hat_advanced",{intent:a,stage:c||"",feedback_id:u,hat:B});let G=c||"intent";if(!R)Qfe(a,G,u);else{tY(`haiku: close fix-chain ${u}`);let H=LE(a,G,()=>FD(a,G,u));if(!H.success){let j=yg(a,G,u);return H.isConflict?r({action:"integrate_fix_chains",intent:a,scope:G,items:[{feedback_id:u}],feedback_id:u,worktree:j,conflict_paths:H.conflictFiles??[],message:`Fix-chain ${u} closed, but landing its code on ${G==="intent"?`haiku/${a}/main`:`stage '${G}'`} produced conflicts on ${(H.conflictFiles??[]).length} file(s): ${(H.conflictFiles??[]).join(", ")}. The merge is left in-progress in the fix-chain worktree (${j}) \u2014 resolve each conflicted file there (the engine can't; they contain code), \`git add\` the resolved files, \`git commit\` to complete the in-worktree merge, then call \`haiku_run_next { intent: "${a}" }\`. The engine forward-merges the resolved chain into ${G==="intent"?"intent main":"the stage branch"} on that tick.`},{isError:!0}):r({action:"merge_failed",intent:a,scope:G,feedback_id:u,worktree:j,error:H.message,message:`Fix-chain ${u} closed, but the engine could not merge its code into ${G==="intent"?`haiku/${a}/main`:`stage '${G}'`}. Git output: ${H.message}. Commit any engine-owned dirty files on the base branch, then call \`haiku_run_next { intent: "${a}" }\` so the engine retries the merge.`},{isError:!0})}}let M=R?null:y[T+1],q=null,U="",D=(()=>{let H=ne(pe(a),"intent.md");if(!ue(H))return"";let j=(0,Nt.default)(Ne(H,"utf8")).data;return typeof j.studio=="string"?j.studio:""})();if(!R&&M&&D)try{let H=T+1===y.length-1;q=FI({slug:a,studio:D,feedbackId:u,stage:c??"",hat:M,terminal:H}),U="Relay the `next_subagent_dispatch_block` field verbatim as your final message."}catch{}else if(R&&D)try{q=F0(a,()=>Uye(a,D)),q&&(U="Relay the `next_subagent_dispatch_block` field verbatim as your final message.")}catch{}if(!q){let H=!1;try{let j=pe(a),W=[ne(j,"feedback")],ee=ne(j,"stages");if(ue(ee))for(let ie of an(ee))W.push(ne(ee,ie,"feedback"));e:for(let ie of W)if(ue(ie))for(let Me of an(ie).filter(Ae=>Ae.endsWith(".md"))){let Ae=Ne(ne(ie,Me),"utf8"),z=(0,Nt.default)(Ae).data;if(typeof z.status=="string"&&(z.status==="closed"||z.status==="rejected")||z.closed_at||z.rejected_at)continue;let J=Array.isArray(z.iterations)?z.iterations:[],oe=J[J.length-1];if(oe&&(oe.result===null||oe.result===void 0)){H=!0;break e}}}catch{}U=H?"Wave still has in-flight fix-chains; no replenishment available right now. Terminate \u2014 sibling subagents will fire their own breadcrumbs when they advance.":R?`FB '${u}' closed by ${K} after '${A}' (last hat in fix_hats sequence ${T+1}/${y.length}). Wave done \u2014 call \`haiku_run_next { intent: "${a}" }\` for the next instruction.`:`FB '${u}': '${A}' (${T+1}/${y.length}) finished. Wave done \u2014 call \`haiku_run_next { intent: "${a}" }\` for the next instruction.`}return r({ok:!0,feedback_id:u,stage:c||null,calling_hat:A,next_dispatched_hat:M,closed:R,bolt:b,next_subagent_dispatch_block:q,message:U})}case"haiku_feedback_reject_hat":{let o=Be(t,Jme,"haiku_feedback_reject_hat");if(o)return o;let a=t.intent,c=t.stage||"",u=Hd(t.feedback_id),l=t.message||"";if(!a||!u)return r({error:"missing_args",message:"intent and feedback_id are required."},{isError:!0});let d=$o(a,c||void 0);if(d)return d;let f=Sc(a,c,u);if(!f){let q=c?lo(a,c):lo(a,"");return r({error:"feedback_not_found",feedback_id:u,message:`No feedback file matching ${u} in ${q}.`},{isError:!0})}let p=f.path,h=f.data,m=f.body,y=ep(h);if(y==="closed"||y==="rejected")return r({error:"lifecycle_violation",current_status:y,message:`Cannot reject hat on FB '${u}' \u2014 already ${y} (terminal).`},{isError:!0});let g=[],E=ne(pe(a),"intent.md"),S="software";if(ue(E)){let{data:q}=re(Ne(E,"utf8"));S=q.studio||"software"}if(c){let q=$i(S,c);q?.data?.fix_hats&&Array.isArray(q.data.fix_hats)&&(g=q.data.fix_hats)}else g=Uf(S);if(g.length===0)return r({error:"no_fix_hats",stage:c||null,scope:c?"stage":"intent",message:c?`Stage '${c}' has no \`fix_hats:\` configured.`:`Studio '${S}' has no fix-hats (looked in the global \`plugin/fix-hats/\` and studio \`plugin/studios/${S}/fix-hats/\`).`},{isError:!0});let b=h.hat||"",_=h.bolt||1,A=(b?g.indexOf(b):-1)+1,R=g[A];if(!R)return r({error:"no_hat_to_reject",message:`FB '${u}' has no hat to reject \u2014 already past the last hat in fix_hats (storage at '${b}').`},{isError:!0});let x=A-2,k=x>=0?g[x]:"",N=c?Pu(S,c):U3(S),{targetHat:P}=Lpe(g,R,{roleOf:q=>N[q]?.role}),C=Array.isArray(h.iterations)?h.iterations.slice():[],F=0;for(let q of C){if(!q||typeof q!="object")continue;let U=q;U.hat===R&&U.result==="rejected"&&F++}if(F>=1){let q=c?`stage: "${c}", `:"";return r({error:"fix_loop_no_progress",calling_hat:R,prior_rejections_by_same_hat:F,message:`Hat '${R}' has already rejected FB '${u}' ${F} time(s) in prior bolt(s); this would be rejection #${F+1}. Bouncing back to '${P}' to re-run cannot produce a different outcome \u2014 the rejecter has signaled the same impasse twice. Two paths forward:
-  - If this finding has no actionable fix (cosmetic, valid observation that needs no code change, upstream-driven drift the engine will resolve on the next sign cycle): call \`haiku_feedback_reject { intent: "${a}", ${q}feedback_id: ${u}, reason: "<concrete reason no fix is needed>" }\` to terminally close.   - If the finding is real but this hat chain cannot resolve it: file an upstream FB describing the impasse for human review.`},{isError:!0})}let V=C[C.length-1];V&&(V.result===null||V.result===void 0)&&V.hat===R?C[C.length-1]={...V,completed_at:bn(),result:"rejected",message:l||"(no message provided)"}:C.push({bolt:_,hat:R,completed_at:bn(),result:"rejected",message:l||"(no message provided)"});let $,B;if(zo.modelSelection){let q=h.model,U=xfe(q);q&&U&&($=q,B=U)}let X={...h,hat:k,bolt:_+1,iterations:C,...B?{model:B,model_original:h.model_original??$}:{}};In(p,Nt.default.stringify(`${m.trimEnd()}
-`,X)),$&&B&&console.error(`[haiku] feedback model escalated: ${$} \u2192 ${B} (FB ${u} hat rejected, bolt ${_+1})`),ci(a),Ke("haiku.feedback.hat_rejected",{intent:a,stage:c||"",feedback_id:u,hat:R,new_bolt:String(_+1),...B?{model_escalated_from:$,model_escalated_to:B}:{}});let G=null;if(S)try{G=FI({slug:a,studio:S,feedbackId:u,stage:c??"",hat:P,terminal:!1})}catch{}let M=G?`FB '${u}' hat '${R}' rejected \u2014 re-running '${P}' (bolt ${_+1}). Relay the \`next_subagent_dispatch_block\` field verbatim as your final message.`:`FB '${u}' hat '${R}' rejected \u2014 bounced to '${P}' (bolt ${_+1}). Call \`haiku_run_next { intent: "${a}" }\` to re-dispatch it.`;return r({ok:!0,feedback_id:u,rejecting_hat:R,next_dispatched_hat:P,new_bolt:_+1,handoff:l,next_subagent_dispatch_block:G,message:M})}case"haiku_feedback_set_targets":{let o=Be(t,Kme,"haiku_feedback_set_targets");if(o)return o;let a=t.intent,c=t.stage||"",u=Hd(t.feedback_id),l=t.target_unit===null||t.target_unit===void 0?null:t.target_unit,d=t.target_invalidates??[],f=typeof t.reasoning=="string"?t.reasoning.trim():"",p=$o(a,c||void 0);if(p)return p;let h=Sc(a,c,u);if(!h)return r({error:"feedback_not_found",feedback_id:u,message:c?`Feedback '${u}' not found in stage '${c}'.`:`Feedback '${u}' not found (intent-scope).`},{isError:!0});let m=h.data.targets&&typeof h.data.targets=="object"?h.data.targets:null,y=m&&typeof m.unit<"u"&&m.unit!==null?m.unit:null,g=m&&Array.isArray(m.invalidates)?m.invalidates:[];if(y!==null||g.length>0)return r({error:"targets_already_set",feedback_id:u,current_target_unit:y,current_target_invalidates:g,message:`Feedback '${u}' already has classified targets \u2014 once set, immutable per the FB-as-unit architecture. To retarget, reject the FB (haiku_feedback_reject) and create a new one with the correct targets.`},{isError:!0});let E=h.data.status||"pending";if(E==="closed"||E==="rejected")return r({error:"lifecycle_violation",current_status:E,message:`Cannot classify FB '${u}' \u2014 already ${E} (terminal).`},{isError:!0});let S={unit:l,invalidates:d};f&&(S.reasoning=f);let b={...h.data,targets:S};return In(h.path,Nt.default.stringify(`
+`,h));let g=wt(c?`feedback: reject ${u} in ${c}`:`feedback: reject ${u} (intent-scope)`);u3(a,c||"intent",u);let y=null;try{let S=ne(pe(a),"intent.md"),E=ue(S)?re(Pe(S,"utf8")).data.studio??"":"";E&&(y=q0(a,()=>Yye(a,E)))}catch{}let b={feedback_id:u,status:"rejected",next_subagent_dispatch_block:y,message:y?`Feedback ${u} rejected: ${l}. Relay the \`next_subagent_dispatch_block\` field verbatim as your final message to start the next finding.`:`Feedback ${u} rejected: ${l}. No further undispatched findings \u2014 call \`haiku_run_next { intent: "${a}" }\` for the next instruction.`};return r(lZ(b,g))}case"haiku_feedback_list":{let o=Be(t,ege,"haiku_feedback_list");if(o)return o;let a=t.intent,c=t.stage||void 0,u=typeof t.closed=="boolean"?t.closed:void 0;if(!a)return{content:[{type:"text",text:"Error: intent is required"}],isError:!0};let l=ne(pe(a),"intent.md");if(!ue(l))return{content:[{type:"text",text:`Error: intent '${a}' not found`}],isError:!0};let d=ea(a,c??p1(a));if(d)return d;let f;if(c)f=[c];else{let g=ne(pe(a),"stages");ue(g)?f=an(g).filter(y=>ue(ne(g,y))):f=[]}let p=g=>g.status==="closed"||g.status==="rejected"||g.status==="addressed"||g.status==="answered",h=[];for(let g of f){let y=Us(a,g);for(let b of y){if(u!==void 0&&p(b)!==u)continue;let S={feedback_id:b.id,file:b.file,title:b.title,status:b.status,origin:b.origin,author:b.author,author_type:b.author_type,created_at:b.created_at,visit:b.visit,source_ref:b.source_ref,closed_by:b.closed_by,closed_at:b.closed_at,bolt:b.bolt,triaged_at:b.triaged_at};c||(S.stage=g),h.push(S)}}if(!c){let g=Us(a,"");for(let y of g)u!==void 0&&p(y)!==u||h.push({feedback_id:y.id,file:y.file,title:y.title,status:y.status,origin:y.origin,author:y.author,author_type:y.author_type,created_at:y.created_at,visit:y.visit,source_ref:y.source_ref,closed_by:y.closed_by,closed_at:y.closed_at,bolt:y.bolt,triaged_at:y.triaged_at,stage:null})}let m={intent:a,stage:c||null,count:h.length,items:h};return r(m)}case"haiku_feedback_read":{let o=Be(t,tge,"haiku_feedback_read");if(o)return o;let a=t.intent,c=t.stage||"",u=zd(t.feedback_id);if(!a||!u)return r({error:"missing_args",message:"intent and feedback_id are required."},{isError:!0});let l=c?lo(a,c):lo(a,"");if(!ue(l))return r({error:"feedback_not_found",intent:a,stage:c||null,feedback_id:u,message:`No feedback directory at ${l}.`},{isError:!0});let d=null,f=null,p=null,h=u.match(/^(?:FB-)?(\d+)$/i),m=h?Number.parseInt(h[1],10):null;for(let S of an(l).filter(E=>E.endsWith(".md"))){let E=ne(l,S),{data:_,body:T}=re(Pe(E,"utf8")),R=S.match(/^(\d+)-/),A=R?Number.parseInt(R[1],10):null;if(_.id===u||_.feedback_id===u||m!==null&&A===m){d=E,f=_,p=T;break}}if(!d||!p)return r({error:"feedback_not_found",intent:a,stage:c||null,feedback_id:u,message:`No feedback file matching ${u} in ${l}.`},{isError:!0});$ye(d);let g=typeof f?.title=="string"?f.title:"",y=p.match(/^#\s+(.+)$/m),b=g||(y?y[1].trim():u);return r({title:b,body:p})}case"haiku_feedback_write":{let o=Be(t,nge,"haiku_feedback_write");if(o)return o;let a=t.intent,c=t.stage||"",u=zd(t.feedback_id),l=t.body??"",d=uv(l);if(!a||!u)return r({error:"missing_args",message:"intent and feedback_id are required."},{isError:!0});if(!d||d.trim().length===0)return r({error:"empty_body",message:"body is required and must be substantive. Empty FB bodies cannot pass the assessor's spec-match check."},{isError:!0});let f=ea(a,c||void 0);if(f)return f;let p=bc(a,c,u);if(!p){let b=c?lo(a,c):lo(a,"");return r({error:"feedback_not_found",intent:a,stage:c||null,feedback_id:u,message:`No feedback file matching ${u} in ${b}.`},{isError:!0})}let h=p.path,m=p.data,g=m.status||"pending";if(!mb()&&(g==="closed"||g==="rejected"||g==="non_actionable"))return r({error:"lifecycle_violation",current_status:g,message:`Cannot rewrite feedback '${u}' \u2014 status is '${g}'. Per the forward-only lifecycle rule, closed, rejected, and non-actionable feedback are terminal and immutable. To raise a related concern, file a NEW feedback via haiku_feedback.`},{isError:!0});let y=Array.isArray(m.iterations)?m.iterations:[];return!mb()&&y.length>0?r({error:"body_locked",feedback_id:u,iterations:y.length,message:`Feedback '${u}' body is locked \u2014 its fix-hat loop has started (${y.length} iteration(s) on record). The body is the immutable finding; record your per-hat work in the handoff \`message\` on haiku_feedback_advance_hat (or haiku_feedback_reject_hat), which the engine threads into the next hat's dispatch. Do not rewrite the body.`},{isError:!0}):(In(h,Ct.default.stringify(`${d.trimEnd()}
+`,m)),ci(a),Ke("haiku.feedback.body_rewritten",{intent:a,stage:c||"",feedback_id:u}),r({ok:!0,feedback_id:u,stage:c||null,intent:a,message:`Rewrote body of feedback '${u}' (status preserved as '${g}').`}))}case"haiku_feedback_advance_hat":{let o=Be(t,sge,"haiku_feedback_advance_hat");if(o)return o;let a=t.intent,c=t.stage||"",u=zd(t.feedback_id);if(!a||!u)return r({error:"missing_args",message:"intent and feedback_id are required."},{isError:!0});let l=ea(a,c||void 0);if(l)return l;let d=bc(a,c,u);if(!d){let H=c?lo(a,c):lo(a,"");return r({error:"feedback_not_found",intent:a,stage:c||null,feedback_id:u,message:`No feedback file matching ${u} in ${H}.`},{isError:!0})}let f=d.path,p=d.data,h=d.body,m=np(p);if(m==="closed"||m==="rejected"||m==="non_actionable")return r({error:"lifecycle_violation",current_status:m,message:`Cannot advance hat on FB '${u}' \u2014 already ${m} (terminal).`},{isError:!0});let g=[],y=ne(pe(a),"intent.md"),b="software";if(ue(y)){let{data:H}=re(Pe(y,"utf8"));b=H.studio||"software"}if(c){let H=$i(b,c);H?.data?.fix_hats&&Array.isArray(H.data.fix_hats)&&(g=H.data.fix_hats)}else g=jf(b);if(g.length===0)return r({error:"no_fix_hats",stage:c||null,scope:c?"stage":"intent",message:c?`Stage '${c}' has no \`fix_hats:\` configured in STAGE.md. The fix-loop FB-as-unit model requires a fix_hats sequence.`:`Studio '${b}' has no fix-hats (looked in the global \`plugin/fix-hats/\` and studio \`plugin/studios/${b}/fix-hats/\`). Intent-completion fix loops require at least one fix-hat.`},{isError:!0});let S=p.hat||"",E=p.bolt||1,T=(S?g.indexOf(S):-1)+1,R=g[T];if(!R)return r({error:"no_hat_to_advance",message:`FB '${u}' is at hat '${S}', already the last hat in fix_hats. The FB should have closed on the prior advance call. State may be inconsistent.`},{isError:!0});let A=T===g.length-1;if((typeof t.resolution=="string"?t.resolution:"")==="non_actionable"){let H=(typeof t.reply=="string"?t.reply.trim():"")||(typeof t.message=="string"?t.message.trim():"");if(!H)return r({error:"reason_required",feedback_id:u,message:`Closing FB '${u}' as non_actionable requires a \`message\` (or \`reply\`) explaining why it has no code fix \u2014 the answer to the question, why it's out of scope, or why the target is immutable/superseded.`},{isError:!0});let j=Array.isArray(p.iterations)?p.iterations.slice():[],Y=j[j.length-1],ee={bolt:E,hat:R,completed_at:En(),result:"closed",message:H};Y&&(Y.result===null||Y.result===void 0)&&Y.hat===R?j[j.length-1]={...Y,...ee}:j.push(ee);let se={...p,hat:R,iterations:j,status:"non_actionable",resolution:"non_actionable",closed_at:En(),closed_by:`${R}:non_actionable`,closure_reply:{text:H,at:En()},closure_reply_unread:!0};In(f,Ct.default.stringify(`${h.trimEnd()}
+`,se)),ci(a),u3(a,c||"intent",u),wt(`haiku: close fix-chain ${u} (non-actionable)`),Ke("haiku.feedback.non_actionable",{intent:a,stage:c||"",feedback_id:u,hat:R});let Ae=Yye(a,b);return n(JSON.stringify({action:"feedback_non_actionable",feedback_id:u,resolution:"non_actionable",hat:R,next_subagent_dispatch_block:Ae,message:`FB '${u}' closed as non-actionable by '${R}': ${H}`+(Ae?" Spawn the relayed <subagent> block below.":` Call haiku_run_next { intent: "${a}" }.`)}))}let k=typeof t.reply=="string"?t.reply.trim():"",P=typeof t.message=="string"?t.message.trim():"";if(A&&!k)return r({error:"reply_required",feedback_id:u,calling_hat:R,message:`FB '${u}' is about to close on terminal hat '${R}'. Pass a \`reply\` arg with a short plain-language explanation of what was done so the requester can see how the issue was addressed.`},{isError:!0});let N=Array.isArray(p.iterations)?p.iterations.slice():[],C=N[N.length-1];C&&(C.result===null||C.result===void 0)&&C.hat===R?N[N.length-1]={...C,completed_at:En(),result:A?"closed":"advanced",...P?{message:P}:{}}:N.push({bolt:E,hat:R,completed_at:En(),result:A?"closed":"advanced",...P?{message:P}:{}});let G=m,W,$;A?(G="closed",W=`fix-loop:${u}:bolt-${E}`,$=En()):G="addressed";let q=R,Q={...p,hat:q,iterations:N,status:G};W&&(Q.closed_by=W),$&&(Q.closed_at=$),A&&k&&(Q.closure_reply={text:k,at:En()},Q.closure_reply_unread=!0),In(f,Ct.default.stringify(`${h.trimEnd()}
+`,Q)),ci(a),A&&ASt({slug:a,stage:c??void 0,feedbackId:u,fbFm:p}),Ke(A?"haiku.feedback.closed":"haiku.feedback.hat_advanced",{intent:a,stage:c||"",feedback_id:u,hat:q});let B=c||"intent";if(!A)dpe(a,B,u);else{mZ(`haiku: close fix-chain ${u}`);let H=jb(a,B,()=>WD(a,B,u));if(!H.success){let j=Sg(a,B,u);return H.isConflict?r({action:"integrate_fix_chains",intent:a,scope:B,items:[{feedback_id:u}],feedback_id:u,worktree:j,conflict_paths:H.conflictFiles??[],message:`Fix-chain ${u} closed, but landing its code on ${B==="intent"?`haiku/${a}/main`:`stage '${B}'`} produced conflicts on ${(H.conflictFiles??[]).length} file(s): ${(H.conflictFiles??[]).join(", ")}. The merge is left in-progress in the fix-chain worktree (${j}) \u2014 resolve each conflicted file there (the engine can't; they contain code), \`git add\` the resolved files, \`git commit\` to complete the in-worktree merge, then call \`haiku_run_next { intent: "${a}" }\`. The engine forward-merges the resolved chain into ${B==="intent"?"intent main":"the stage branch"} on that tick.`},{isError:!0}):r({action:"merge_failed",intent:a,scope:B,feedback_id:u,worktree:j,error:H.message,message:`Fix-chain ${u} closed, but the engine could not merge its code into ${B==="intent"?`haiku/${a}/main`:`stage '${B}'`}. Git output: ${H.message}. Commit any engine-owned dirty files on the base branch, then call \`haiku_run_next { intent: "${a}" }\` so the engine retries the merge.`},{isError:!0})}}let F=A?null:g[T+1],V=null,U="",M=(()=>{let H=ne(pe(a),"intent.md");if(!ue(H))return"";let j=(0,Ct.default)(Pe(H,"utf8")).data;return typeof j.studio=="string"?j.studio:""})();if(!A&&F&&M)try{let H=T+1===g.length-1;V=HI({slug:a,studio:M,feedbackId:u,stage:c??"",hat:F,terminal:H}),U="Relay the `next_subagent_dispatch_block` field verbatim as your final message."}catch{}else if(A&&M)try{V=q0(a,()=>Yye(a,M)),V&&(U="Relay the `next_subagent_dispatch_block` field verbatim as your final message.")}catch{}if(!V){let H=!1;try{let j=pe(a),Y=[ne(j,"feedback")],ee=ne(j,"stages");if(ue(ee))for(let se of an(ee))Y.push(ne(ee,se,"feedback"));e:for(let se of Y)if(ue(se))for(let Le of an(se).filter(Ae=>Ae.endsWith(".md"))){let Ae=Pe(ne(se,Le),"utf8"),z=(0,Ct.default)(Ae).data;if(typeof z.status=="string"&&(z.status==="closed"||z.status==="rejected")||z.closed_at||z.rejected_at)continue;let J=Array.isArray(z.iterations)?z.iterations:[],oe=J[J.length-1];if(oe&&(oe.result===null||oe.result===void 0)){H=!0;break e}}}catch{}U=H?"Wave still has in-flight fix-chains; no replenishment available right now. Terminate \u2014 sibling subagents will fire their own breadcrumbs when they advance.":A?`FB '${u}' closed by ${W} after '${R}' (last hat in fix_hats sequence ${T+1}/${g.length}). Wave done \u2014 call \`haiku_run_next { intent: "${a}" }\` for the next instruction.`:`FB '${u}': '${R}' (${T+1}/${g.length}) finished. Wave done \u2014 call \`haiku_run_next { intent: "${a}" }\` for the next instruction.`}return r({ok:!0,feedback_id:u,stage:c||null,calling_hat:R,next_dispatched_hat:F,closed:A,bolt:E,next_subagent_dispatch_block:V,message:U})}case"haiku_feedback_reject_hat":{let o=Be(t,oge,"haiku_feedback_reject_hat");if(o)return o;let a=t.intent,c=t.stage||"",u=zd(t.feedback_id),l=t.message||"";if(!a||!u)return r({error:"missing_args",message:"intent and feedback_id are required."},{isError:!0});let d=ea(a,c||void 0);if(d)return d;let f=bc(a,c,u);if(!f){let V=c?lo(a,c):lo(a,"");return r({error:"feedback_not_found",feedback_id:u,message:`No feedback file matching ${u} in ${V}.`},{isError:!0})}let p=f.path,h=f.data,m=f.body,g=np(h);if(g==="closed"||g==="rejected")return r({error:"lifecycle_violation",current_status:g,message:`Cannot reject hat on FB '${u}' \u2014 already ${g} (terminal).`},{isError:!0});let y=[],b=ne(pe(a),"intent.md"),S="software";if(ue(b)){let{data:V}=re(Pe(b,"utf8"));S=V.studio||"software"}if(c){let V=$i(S,c);V?.data?.fix_hats&&Array.isArray(V.data.fix_hats)&&(y=V.data.fix_hats)}else y=jf(S);if(y.length===0)return r({error:"no_fix_hats",stage:c||null,scope:c?"stage":"intent",message:c?`Stage '${c}' has no \`fix_hats:\` configured.`:`Studio '${S}' has no fix-hats (looked in the global \`plugin/fix-hats/\` and studio \`plugin/studios/${S}/fix-hats/\`).`},{isError:!0});let E=h.hat||"",_=h.bolt||1,R=(E?y.indexOf(E):-1)+1,A=y[R];if(!A)return r({error:"no_hat_to_reject",message:`FB '${u}' has no hat to reject \u2014 already past the last hat in fix_hats (storage at '${E}').`},{isError:!0});let x=R-2,k=x>=0?y[x]:"",P=c?Du(S,c):JK(S),{targetHat:N}=Wpe(y,A,{roleOf:V=>P[V]?.role}),C=Array.isArray(h.iterations)?h.iterations.slice():[],L=0;for(let V of C){if(!V||typeof V!="object")continue;let U=V;U.hat===A&&U.result==="rejected"&&L++}if(L>=1){let V=c?`stage: "${c}", `:"";return r({error:"fix_loop_no_progress",calling_hat:A,prior_rejections_by_same_hat:L,message:`Hat '${A}' has already rejected FB '${u}' ${L} time(s) in prior bolt(s); this would be rejection #${L+1}. Bouncing back to '${N}' to re-run cannot produce a different outcome \u2014 the rejecter has signaled the same impasse twice. Two paths forward:
+  - If this finding has no actionable fix (cosmetic, valid observation that needs no code change, upstream-driven drift the engine will resolve on the next sign cycle): call \`haiku_feedback_reject { intent: "${a}", ${V}feedback_id: ${u}, reason: "<concrete reason no fix is needed>" }\` to terminally close.   - If the finding is real but this hat chain cannot resolve it: file an upstream FB describing the impasse for human review.`},{isError:!0})}let G=C[C.length-1];G&&(G.result===null||G.result===void 0)&&G.hat===A?C[C.length-1]={...G,completed_at:En(),result:"rejected",message:l||"(no message provided)"}:C.push({bolt:_,hat:A,completed_at:En(),result:"rejected",message:l||"(no message provided)"});let $,q;if(Go.modelSelection){let V=h.model,U=Bfe(V);V&&U&&($=V,q=U)}let Q={...h,hat:k,bolt:_+1,iterations:C,...q?{model:q,model_original:h.model_original??$}:{}};In(p,Ct.default.stringify(`${m.trimEnd()}
+`,Q)),$&&q&&console.error(`[haiku] feedback model escalated: ${$} \u2192 ${q} (FB ${u} hat rejected, bolt ${_+1})`),ci(a),Ke("haiku.feedback.hat_rejected",{intent:a,stage:c||"",feedback_id:u,hat:A,new_bolt:String(_+1),...q?{model_escalated_from:$,model_escalated_to:q}:{}});let B=null;if(S)try{B=HI({slug:a,studio:S,feedbackId:u,stage:c??"",hat:N,terminal:!1})}catch{}let F=B?`FB '${u}' hat '${A}' rejected \u2014 re-running '${N}' (bolt ${_+1}). Relay the \`next_subagent_dispatch_block\` field verbatim as your final message.`:`FB '${u}' hat '${A}' rejected \u2014 bounced to '${N}' (bolt ${_+1}). Call \`haiku_run_next { intent: "${a}" }\` to re-dispatch it.`;return r({ok:!0,feedback_id:u,rejecting_hat:A,next_dispatched_hat:N,new_bolt:_+1,handoff:l,next_subagent_dispatch_block:B,message:F})}case"haiku_feedback_set_targets":{let o=Be(t,rge,"haiku_feedback_set_targets");if(o)return o;let a=t.intent,c=t.stage||"",u=zd(t.feedback_id),l=t.target_unit===null||t.target_unit===void 0?null:t.target_unit,d=t.target_invalidates??[],f=typeof t.reasoning=="string"?t.reasoning.trim():"",p=ea(a,c||void 0);if(p)return p;let h=bc(a,c,u);if(!h)return r({error:"feedback_not_found",feedback_id:u,message:c?`Feedback '${u}' not found in stage '${c}'.`:`Feedback '${u}' not found (intent-scope).`},{isError:!0});let m=h.data.targets&&typeof h.data.targets=="object"?h.data.targets:null,g=m&&typeof m.unit<"u"&&m.unit!==null?m.unit:null,y=m&&Array.isArray(m.invalidates)?m.invalidates:[];if(g!==null||y.length>0)return r({error:"targets_already_set",feedback_id:u,current_target_unit:g,current_target_invalidates:y,message:`Feedback '${u}' already has classified targets \u2014 once set, immutable per the FB-as-unit architecture. To retarget, reject the FB (haiku_feedback_reject) and create a new one with the correct targets.`},{isError:!0});let b=h.data.status||"pending";if(b==="closed"||b==="rejected")return r({error:"lifecycle_violation",current_status:b,message:`Cannot classify FB '${u}' \u2014 already ${b} (terminal).`},{isError:!0});let S={unit:l,invalidates:d};f&&(S.reasoning=f);let E={...h.data,targets:S};return In(h.path,Ct.default.stringify(`
 ${h.body}
-`,b)),ci(a),r({ok:!0,feedback_id:u,target_unit:l,target_invalidates:d,reasoning:f||null,message:`Feedback '${u}' classified: target_unit=${l??"null (intent-scope)"}, invalidates=[${d.join(", ")}]${f?` \u2014 ${f}`:""}.`})}case"haiku_feedback_set_severity":{let o=Be(t,Zme,"haiku_feedback_set_severity");if(o)return o;let a=t.intent,c=t.stage||"",u=Hd(t.feedback_id),l=t.severity,d=typeof t.reasoning=="string"?t.reasoning.trim():"",f=$o(a,c||void 0);if(f)return f;let p=Sc(a,c,u);if(!p)return r({error:"feedback_not_found",feedback_id:u,message:c?`Feedback '${u}' not found in stage '${c}'.`:`Feedback '${u}' not found (intent-scope).`},{isError:!0});let h=typeof p.data.severity=="string"?p.data.severity:null;if(h!==null)return r({error:"severity_already_set",feedback_id:u,current_severity:h,message:`Feedback '${u}' already has severity '${h}' \u2014 once set, immutable per the FB-as-unit architecture. To re-rank, reject the FB (haiku_feedback_reject) and create a new one.`},{isError:!0});let m=p.data.status||"pending";if(m==="closed"||m==="rejected")return r({error:"lifecycle_violation",current_status:m,message:`Cannot set severity on FB '${u}' \u2014 already ${m} (terminal).`},{isError:!0});let y={...p.data,severity:l};return In(p.path,Nt.default.stringify(`
+`,E)),ci(a),r({ok:!0,feedback_id:u,target_unit:l,target_invalidates:d,reasoning:f||null,message:`Feedback '${u}' classified: target_unit=${l??"null (intent-scope)"}, invalidates=[${d.join(", ")}]${f?` \u2014 ${f}`:""}.`})}case"haiku_feedback_set_severity":{let o=Be(t,ige,"haiku_feedback_set_severity");if(o)return o;let a=t.intent,c=t.stage||"",u=zd(t.feedback_id),l=t.severity,d=typeof t.reasoning=="string"?t.reasoning.trim():"",f=ea(a,c||void 0);if(f)return f;let p=bc(a,c,u);if(!p)return r({error:"feedback_not_found",feedback_id:u,message:c?`Feedback '${u}' not found in stage '${c}'.`:`Feedback '${u}' not found (intent-scope).`},{isError:!0});let h=typeof p.data.severity=="string"?p.data.severity:null;if(h!==null)return r({error:"severity_already_set",feedback_id:u,current_severity:h,message:`Feedback '${u}' already has severity '${h}' \u2014 once set, immutable per the FB-as-unit architecture. To re-rank, reject the FB (haiku_feedback_reject) and create a new one.`},{isError:!0});let m=p.data.status||"pending";if(m==="closed"||m==="rejected")return r({error:"lifecycle_violation",current_status:m,message:`Cannot set severity on FB '${u}' \u2014 already ${m} (terminal).`},{isError:!0});let g={...p.data,severity:l};return In(p.path,Ct.default.stringify(`
 ${p.body}
-`,y)),ci(a),r({ok:!0,feedback_id:u,severity:l,reasoning:d||null,message:`Feedback '${u}' severity set to '${l}'${d?` \u2014 ${d}`:""}.`})}case"haiku_version_info":{let o=Be(t,NL,"haiku_version_info");if(o)return o;let a=sd==="dev",c={mcp_version:sd,plugin_version:bS(),build_kind:a?"dev (source via bun/tsx)":"prod (compiled bundle)",runtime:`${process.release?.name??"node"} ${process.version}`,entry:process.argv[1]??""};return r(c)}default:return n(`Unknown tool: ${e}`)}}var KSt,Nt,jye,Hye,Vye,R4n,$L,qd,Cf,mv,$9,B4n,z4n,V4n,Lye,Gye,oEt,nZn,FE,Mg,rZn,av,iZn,aSe,ze=v(()=>{"use strict";gD();KSt=Se(B_(),1),Nt=Se(Xt(),1);Ci();kfe();Dpe();Gft();ns();Wpe();E4();xa();dye();VL();M9();pSt();vr();j0();lE();XL();ih();QL();W9();Kn();_l();To();l_();PT();ji();ka();ji();uo();jye=10*1024,Hye=1024;Vye=80;R4n=/^unit-\d{2,}-[a-z0-9]+(?:-[a-z0-9]+)*\.md$/;$L=null;qd=class extends Error{constructor(t){super(t),this.name="IntentScopeTickPersistError"}};Cf=2,mv=5,$9=3;B4n=new Set(["the","a","an","is","are","was","were","be","been","to","of","in","on","at","for","and","or","but","this","that","it","its","with","as","by","from","should","must","needs","need","has","have","not","no","we","you","i","if","then","than","there","here","when","which","what","does","do","did","can","will"]);z4n=.6;V4n=[/\b(?:use|extend)\s+(?:the\s+)?existing\s+`([A-Za-z_][\w.$]*)`\s+(?:in|from)\s+`([^`]+)`/gi,/\bextend\s+(?:the\s+)?`([A-Za-z_][\w.$]*)`\s+exported\s+from\s+`([^`]+)`/gi];Lye=null,Gye=null;oEt="feedback-assessor";nZn=["adversarial-review","studio-review","external-pr","external-mr","user-visual","user-chat","user-question","user-revisit","agent"],FE=["pending","fixing","addressed","answered","non_actionable","closed","rejected"];Mg=3,rZn=3,av=(()=>{let e=process.env.HAIKU_MAX_CONCURRENT_SUBAGENTS,t=e?Number.parseInt(e,10):NaN;return Number.isFinite(t)&&t>0?t:10})(),iZn=new Set(["user-visual","user-chat","user-question","user-revisit","external-pr","external-mr"]);aSe=[{name:"haiku_intent_get",description:"Read a field from an intent's frontmatter",inputSchema:wZ,outputSchema:{type:"object",properties:{found:{type:"boolean",description:"True if the intent file exists."},field:{type:"string",description:"Echoed field name from the request."},value:{description:"Field value as parsed from frontmatter. Null when missing or when the intent doesn't exist."}},required:["found","field"]}},{name:"haiku_intent_list",description:"List all intents in the workspace",inputSchema:kZ,outputSchema:{type:"object",properties:{intents:{type:"array",items:{type:"object",properties:{slug:{type:"string"},title:{type:"string"},status:{type:"string"},studio:{type:"string"},archived:{type:"boolean"}},required:["slug"]}}},required:["intents"]}},{name:"haiku_stage_get",description:"Read a field from a stage's state",inputSchema:KZ,outputSchema:{type:"object",properties:{found:{type:"boolean"},field:{type:"string"},value:{description:"Stage state field value. v3 reads it from per-stage state.json; v4 derives stage state from per-unit `iterations[]` + branch-merge state. Null when missing."}},required:["found","field"]}},{name:"haiku_unit_get",description:`Read ONE agent-authorable/corrective frontmatter field on a unit. The READ counterpart to haiku_unit_set's corrective exemption: haiku_unit_set replaces the WHOLE \`quality_gates\` (or \`outputs\`) array, so to repair a single wrong gate command/path on an active unit without clobbering the others you must first read the current array, modify one entry, then write it back. Readable fields: ${NE.join(", ")}. FSM-driven fields (${Zf.join(", ")}) return \`unit_field_engine_only\` \u2014 engine bookkeeping stays hidden; for the unit body/title use haiku_unit_read.`,inputSchema:i9,outputSchema:{type:"object",properties:{ok:{type:"boolean"},field:{type:"string"},found:{type:"boolean",description:"True when the field is present (non-null) on the unit."},value:{type:["string","array","number","boolean","null","object"],description:"The field's current native value (array for quality_gates/outputs/inputs/etc.), or null when absent."},error:{type:"string"}}}},{name:"haiku_unit_set",description:`Set a field in a unit's frontmatter. \`value\` MUST match the field's declared type in the unit FM schema \u2014 array for \`inputs:\` / \`outputs:\` / \`depends_on:\` / \`closes:\` / \`quality_gates:\`, string for \`title:\` / \`model:\`. The handler validates per-field at runtime and rejects mismatches with \`field_type_mismatch\` so type drift never lands in YAML. Agent-authorable fields: ${NE.join(", ")}. FSM-driven (rejected): ${Zf.join(", ")}. CORRECTIVE EXEMPTION: \`outputs\` and \`quality_gates\` stay editable AFTER the unit has started/completed (every other field is forward-only-immutable once active). This is the sanctioned path to repair a broken gate command (wrong workspace name, bad path, wrong invocation) or a missed output without re-opening the unit \u2014 it changes how the unit is verified, NOT what it produced, so it is a safe correction, not a workflow-control rewrite. Use it directly to fix gate typos.`,inputSchema:r9,outputSchema:{type:"object",properties:{ok:{type:"boolean"},message:{type:"string"},error:{type:"string"},current_status:{type:"string",description:"On lifecycle_violation: the unit's current immutable status."},field:{type:"string"}}}},{name:"haiku_unit_list",description:"List all units in a stage with their status",inputSchema:s9,outputSchema:{type:"object",properties:{units:{type:"array",items:{type:"object",properties:{name:{type:"string"},status:{type:"string",description:"pending | active | completed"},bolt:{type:"number"},hat:{type:"string"},model:{type:["string","null"]}},required:["name"]}}},required:["units"]}},{name:"haiku_unit_start",description:"Mark a unit as started. The system resolves the stage and first hat internally.",inputSchema:o9,outputSchema:{type:"object",properties:{ok:{type:"boolean"},unit:{type:"string"},stage:{type:"string"},first_hat:{type:"string"},message:{type:"string"},error:{type:"string"}}}},{name:"haiku_unit_advance_hat",description:"Advance a unit to the next hat in the sequence. When called on the last hat, auto-completes the unit and progresses the workflow engine. The system resolves the current hat, next hat, and stage internally.",inputSchema:a9,outputSchema:{type:"object",properties:{ok:{type:"boolean"},unit:{type:"string"},current_hat:{type:"string",description:"The hat that just finished."},next_hat:{type:["string","null"],description:"The hat to dispatch next, or null when the unit auto-completed."},completed:{type:"boolean",description:"True if this advance closed the unit (last hat in the sequence)."},bolt:{type:"number"},message:{type:"string"},error:{type:"string",description:"On failure: stable named error code."}},required:["message"]}},{name:"haiku_unit_reject_hat",description:"Reject the current hat's work \u2014 moves back to the previous hat and increments bolt. Pass `reason` so the unit's iteration history records why the hat was rejected (what failed, which criterion wasn't met).",inputSchema:c9,outputSchema:{type:"object",properties:{ok:{type:"boolean"},unit:{type:"string"},stage:{type:"string"},prev_hat:{type:"string",description:"The prior hat the chain bounced back to (re-dispatched next)."},bolt:{type:"number"},reason:{type:["string","null"]},outputs_present:{type:"boolean"},outputs_files_present:{type:"array",items:{type:"string"}},outputs_files_missing:{type:"array",items:{type:"string"}},next_subagent_dispatch_block:{type:["string","null"],description:"The bounced-to prior hat's dispatch block \u2014 relay it verbatim to re-run that hat. Null when the wave has no more work."},message:{type:"string"},error:{type:"string"}},required:["message"]}},{name:"haiku_unit_read",description:"Read a unit's body content (and title). Returns ONLY the body and title \u2014 frontmatter is workflow engine-internal and not exposed to agents per the architecture's FM-is-workflow engine-only rule. Use this when a hat needs to read another unit's substance (sibling references, prior-stage knowledge artifacts) without interpreting FM. Returns { title, body } as JSON.",inputSchema:u9,outputSchema:{type:"object",properties:{title:{type:"string",description:"Unit title from frontmatter (or derived from first H1)."},body:{type:"string",description:"Full markdown body. Frontmatter is intentionally not exposed (workflow engine-only per architecture \xA71.1)."},error:{type:"string",description:"On not-found / wrong-stage."}}}},{name:"haiku_read_hat",description:"Read a hat mandate body, resolved through the project\u2192plugin override cascade and with frontmatter stripped (engine bookkeeping; not for the agent). Dispatch prompts instruct the agent to call this for its role's behavior contract instead of carrying an inlined copy. Pass `fix: true` from a fix-loop dispatch to prefer the fix-scoped mandate (`stages/<stage>/fix-hats/<hat>.md`, falling back to the production `hats/<hat>.md`). Returns { hat, body } as JSON.",inputSchema:YZ,outputSchema:{type:"object",properties:{hat:{type:"string"},body:{type:"string",description:"Hat mandate markdown body (frontmatter stripped)."},error:{type:"string",description:"On not-found."}}}},{name:"haiku_read_stage",description:"Read a stage's STAGE.md body, resolved through the project\u2192plugin override cascade and with frontmatter stripped. Dispatch prompts instruct the agent to call this for the stage scope instead of carrying an inlined copy. Returns { stage, body } as JSON.",inputSchema:JZ,outputSchema:{type:"object",properties:{stage:{type:"string"},body:{type:"string",description:"STAGE.md markdown body (frontmatter stripped)."},error:{type:"string",description:"On not-found."}}}},{name:"haiku_read_review_agent",description:"Read a review/approval agent's mandate body, resolved through the project\u2192plugin override cascade and with frontmatter stripped. Pass `stage` for a stage-scope review/approval agent; OMIT `stage` for an intent-completion review agent (studio's intent-review-agents/). Engine-built-in roles (spec/continuity/cross-stage-consistency) are NOT files \u2014 they're generated and not readable here. Returns { role, body } as JSON.",inputSchema:QZ,outputSchema:{type:"object",properties:{role:{type:"string"},body:{type:"string",description:"Mandate body (FM stripped)."},error:{type:"string",description:"On not-found."}}}},{name:"haiku_read_intent",description:"Read the intent's body (`.haiku/intents/<slug>/intent.md`), frontmatter stripped. The workflow hook guards this file against generic Read, so this is how a dispatched agent gets the intent goal. Returns { intent, body } as JSON.",inputSchema:XZ,outputSchema:{type:"object",properties:{intent:{type:"string"},body:{type:"string",description:"Intent body (FM stripped)."},error:{type:"string",description:"On not-found."}}}},{name:"haiku_read_discovery",description:"Read a discovery template body, resolved through the project\u2192plugin override cascade and with frontmatter stripped (the `location:`/`tool:` FM is engine bookkeeping). The body is the content guide + quality signals the discovery agent authors its artifact from. Returns { template, body } as JSON.",inputSchema:$Z,outputSchema:{type:"object",properties:{template:{type:"string"},body:{type:"string",description:"Template body (FM stripped)."},error:{type:"string",description:"On not-found."}}}},{name:"haiku_read_phase",description:"Read a stage's phase override body (`phases/<PHASE>.md`), resolved through the project\u2192plugin override cascade and with frontmatter stripped. Returns { phase, body } as JSON; `error: phase_not_found` when the stage ships no override for that phase.",inputSchema:e9,outputSchema:{type:"object",properties:{phase:{type:"string"},body:{type:"string",description:"Phase override body (FM stripped)."},error:{type:"string",description:"On not-found."}}}},{name:"haiku_read_output",description:"Read an output template body (`outputs/<name>.md`), resolved through the project\u2192plugin override cascade and with frontmatter stripped. The body is the artifact-shape guide the producing hat follows. Returns { name, body } as JSON.",inputSchema:t9,outputSchema:{type:"object",properties:{name:{type:"string"},body:{type:"string",description:"Output template body (FM stripped)."},error:{type:"string",description:"On not-found."}}}},{name:"haiku_unit_delete",description:"Delete a unit. ONLY permitted when the unit's status is `pending`. Active and completed units are immutable per the forward-only lifecycle rule \u2014 once a unit has informed downstream work, deleting it would silently invalidate that work. Returns an error naming the rule when called against a non-pending unit.",inputSchema:l9,outputSchema:{type:"object",properties:{ok:{type:"boolean"},message:{type:"string"},error:{type:"string"},current_status:{type:"string"},required_status:{type:"string",const:"pending"}}}},{name:"haiku_unit_write",description:`Create or fully rewrite a unit file. This is the ONLY agent-callable path for authoring units \u2014 generic file Write/Edit on \`units/*.md\` is denied at the hook layer. The body is freeform markdown; the optional \`frontmatter\` is validated against the FM schema (depends_on entries must be strings with no self-reference and no cycles among declared units; etc.). Lifecycle: only allowed when the unit doesn't exist yet OR when its status is \`pending\`. Active and completed units are immutable.
+`,g)),ci(a),r({ok:!0,feedback_id:u,severity:l,reasoning:d||null,message:`Feedback '${u}' severity set to '${l}'${d?` \u2014 ${d}`:""}.`})}case"haiku_version_info":{let o=Be(t,HL,"haiku_version_info");if(o)return o;let a=cd==="dev",c={mcp_version:cd,plugin_version:TS(),build_kind:a?"dev (source via bun/tsx)":"prod (compiled bundle)",runtime:`${process.release?.name??"node"} ${process.version}`,entry:process.argv[1]??""};return r(c)}default:return n(`Unknown tool: ${e}`)}}var obt,Ct,Jye,Xye,nSe,q3n,d1,Gd,Df,gv,pZ,i9n,o9n,a9n,Kye,eSe,bbt,S9n,qb,Dg,b9n,cv,E9n,SSe,Ge=v(()=>{"use strict";vD();obt=Re(G_(),1),Ct=Re(Kt(),1);Ci();Hfe();Vpe();tpt();ns();nhe();C3();Oa();VL();_ye();Tye();r1();YY();wSt();yr();B0();fb();u1();sh();l1();oZ();Kn();vl();vo();f_();bb();ji();Ia();ji();uo();Jye=10*1024,Xye=1024;nSe=80;q3n=/^unit-\d{2,}-[a-z0-9]+(?:-[a-z0-9]+)*\.md$/;d1=null;Gd=class extends Error{constructor(t){super(t),this.name="IntentScopeTickPersistError"}};Df=2,gv=5,pZ=3;i9n=new Set(["the","a","an","is","are","was","were","be","been","to","of","in","on","at","for","and","or","but","this","that","it","its","with","as","by","from","should","must","needs","need","has","have","not","no","we","you","i","if","then","than","there","here","when","which","what","does","do","did","can","will"]);o9n=.6;a9n=[/\b(?:use|extend)\s+(?:the\s+)?existing\s+`([A-Za-z_][\w.$]*)`\s+(?:in|from)\s+`([^`]+)`/gi,/\bextend\s+(?:the\s+)?`([A-Za-z_][\w.$]*)`\s+exported\s+from\s+`([^`]+)`/gi];Kye=null,eSe=null;bbt="feedback-assessor";S9n=["adversarial-review","studio-review","external-pr","external-mr","user-visual","user-chat","user-question","user-revisit","agent"],qb=["pending","fixing","addressed","answered","non_actionable","closed","rejected"];Dg=3,b9n=3,cv=(()=>{let e=process.env.HAIKU_MAX_CONCURRENT_SUBAGENTS,t=e?Number.parseInt(e,10):NaN;return Number.isFinite(t)&&t>0?t:10})(),E9n=new Set(["user-visual","user-chat","user-question","user-revisit","external-pr","external-mr"]);SSe=[{name:"haiku_intent_get",description:"Read a field from an intent's frontmatter",inputSchema:H9,outputSchema:{type:"object",properties:{found:{type:"boolean",description:"True if the intent file exists."},field:{type:"string",description:"Echoed field name from the request."},value:{description:"Field value as parsed from frontmatter. Null when missing or when the intent doesn't exist."}},required:["found","field"]}},{name:"haiku_intent_list",description:"List all intents in the workspace",inputSchema:q9,outputSchema:{type:"object",properties:{intents:{type:"array",items:{type:"object",properties:{slug:{type:"string"},title:{type:"string"},status:{type:"string"},studio:{type:"string"},archived:{type:"boolean"}},required:["slug"]}}},required:["intents"]}},{name:"haiku_stage_get",description:"Read a field from a stage's state",inputSchema:aY,outputSchema:{type:"object",properties:{found:{type:"boolean"},field:{type:"string"},value:{description:"Stage state field value. v3 reads it from per-stage state.json; v4 derives stage state from per-unit `iterations[]` + branch-merge state. Null when missing."}},required:["found","field"]}},{name:"haiku_unit_get",description:`Read ONE agent-authorable/corrective frontmatter field on a unit. The READ counterpart to haiku_unit_set's corrective exemption: haiku_unit_set replaces the WHOLE \`quality_gates\` (or \`outputs\`) array, so to repair a single wrong gate command/path on an active unit without clobbering the others you must first read the current array, modify one entry, then write it back. Readable fields: ${Mb.join(", ")}. FSM-driven fields (${Jf.join(", ")}) return \`unit_field_engine_only\` \u2014 engine bookkeeping stays hidden; for the unit body/title use haiku_unit_read.`,inputSchema:SY,outputSchema:{type:"object",properties:{ok:{type:"boolean"},field:{type:"string"},found:{type:"boolean",description:"True when the field is present (non-null) on the unit."},value:{type:["string","array","number","boolean","null","object"],description:"The field's current native value (array for quality_gates/outputs/inputs/etc.), or null when absent."},error:{type:"string"}}}},{name:"haiku_unit_set",description:`Set a field in a unit's frontmatter. \`value\` MUST match the field's declared type in the unit FM schema \u2014 array for \`inputs:\` / \`outputs:\` / \`depends_on:\` / \`closes:\` / \`quality_gates:\`, string for \`title:\` / \`model:\`. The handler validates per-field at runtime and rejects mismatches with \`field_type_mismatch\` so type drift never lands in YAML. Agent-authorable fields: ${Mb.join(", ")}. FSM-driven (rejected): ${Jf.join(", ")}. CORRECTIVE EXEMPTION: \`outputs\` and \`quality_gates\` stay editable AFTER the unit has started/completed (every other field is forward-only-immutable once active). This is the sanctioned path to repair a broken gate command (wrong workspace name, bad path, wrong invocation) or a missed output without re-opening the unit \u2014 it changes how the unit is verified, NOT what it produced, so it is a safe correction, not a workflow-control rewrite. Use it directly to fix gate typos.`,inputSchema:yY,outputSchema:{type:"object",properties:{ok:{type:"boolean"},message:{type:"string"},error:{type:"string"},current_status:{type:"string",description:"On lifecycle_violation: the unit's current immutable status."},field:{type:"string"}}}},{name:"haiku_unit_list",description:"List all units in a stage with their status",inputSchema:bY,outputSchema:{type:"object",properties:{units:{type:"array",items:{type:"object",properties:{name:{type:"string"},status:{type:"string",description:"pending | active | completed"},bolt:{type:"number"},hat:{type:"string"},model:{type:["string","null"]}},required:["name"]}}},required:["units"]}},{name:"haiku_unit_start",description:"Mark a unit as started. The system resolves the stage and first hat internally.",inputSchema:EY,outputSchema:{type:"object",properties:{ok:{type:"boolean"},unit:{type:"string"},stage:{type:"string"},first_hat:{type:"string"},message:{type:"string"},error:{type:"string"}}}},{name:"haiku_unit_advance_hat",description:"Advance a unit to the next hat in the sequence. When called on the last hat, auto-completes the unit and progresses the workflow engine. The system resolves the current hat, next hat, and stage internally.",inputSchema:_Y,outputSchema:{type:"object",properties:{ok:{type:"boolean"},unit:{type:"string"},current_hat:{type:"string",description:"The hat that just finished."},next_hat:{type:["string","null"],description:"The hat to dispatch next, or null when the unit auto-completed."},completed:{type:"boolean",description:"True if this advance closed the unit (last hat in the sequence)."},bolt:{type:"number"},message:{type:"string"},error:{type:"string",description:"On failure: stable named error code."}},required:["message"]}},{name:"haiku_unit_reject_hat",description:"Reject the current hat's work \u2014 moves back to the previous hat and increments bolt. Pass `reason` so the unit's iteration history records why the hat was rejected (what failed, which criterion wasn't met).",inputSchema:TY,outputSchema:{type:"object",properties:{ok:{type:"boolean"},unit:{type:"string"},stage:{type:"string"},prev_hat:{type:"string",description:"The prior hat the chain bounced back to (re-dispatched next)."},bolt:{type:"number"},reason:{type:["string","null"]},outputs_present:{type:"boolean"},outputs_files_present:{type:"array",items:{type:"string"}},outputs_files_missing:{type:"array",items:{type:"string"}},next_subagent_dispatch_block:{type:["string","null"],description:"The bounced-to prior hat's dispatch block \u2014 relay it verbatim to re-run that hat. Null when the wave has no more work."},message:{type:"string"},error:{type:"string"}},required:["message"]}},{name:"haiku_unit_read",description:"Read a unit's body content (and title). Returns ONLY the body and title \u2014 frontmatter is workflow engine-internal and not exposed to agents per the architecture's FM-is-workflow engine-only rule. Use this when a hat needs to read another unit's substance (sibling references, prior-stage knowledge artifacts) without interpreting FM. Returns { title, body } as JSON.",inputSchema:vY,outputSchema:{type:"object",properties:{title:{type:"string",description:"Unit title from frontmatter (or derived from first H1)."},body:{type:"string",description:"Full markdown body. Frontmatter is intentionally not exposed (workflow engine-only per architecture \xA71.1)."},error:{type:"string",description:"On not-found / wrong-stage."}}}},{name:"haiku_read_hat",description:"Read a hat mandate body, resolved through the project\u2192plugin override cascade and with frontmatter stripped (engine bookkeeping; not for the agent). Dispatch prompts instruct the agent to call this for its role's behavior contract instead of carrying an inlined copy. Pass `fix: true` from a fix-loop dispatch to prefer the fix-scoped mandate (`stages/<stage>/fix-hats/<hat>.md`, falling back to the production `hats/<hat>.md`). Returns { hat, body } as JSON.",inputSchema:uY,outputSchema:{type:"object",properties:{hat:{type:"string"},body:{type:"string",description:"Hat mandate markdown body (frontmatter stripped)."},error:{type:"string",description:"On not-found."}}}},{name:"haiku_read_stage",description:"Read a stage's STAGE.md body, resolved through the project\u2192plugin override cascade and with frontmatter stripped. Dispatch prompts instruct the agent to call this for the stage scope instead of carrying an inlined copy. Returns { stage, body } as JSON.",inputSchema:lY,outputSchema:{type:"object",properties:{stage:{type:"string"},body:{type:"string",description:"STAGE.md markdown body (frontmatter stripped)."},error:{type:"string",description:"On not-found."}}}},{name:"haiku_read_review_agent",description:"Read a review/approval agent's mandate body, resolved through the project\u2192plugin override cascade and with frontmatter stripped. Pass `stage` for a stage-scope review/approval agent; OMIT `stage` for an intent-completion review agent (studio's intent-review-agents/). Engine-built-in roles (spec/continuity/cross-stage-consistency) are NOT files \u2014 they're generated and not readable here. Returns { role, body } as JSON.",inputSchema:fY,outputSchema:{type:"object",properties:{role:{type:"string"},body:{type:"string",description:"Mandate body (FM stripped)."},error:{type:"string",description:"On not-found."}}}},{name:"haiku_read_intent",description:"Read the intent's body (`.haiku/intents/<slug>/intent.md`), frontmatter stripped. The workflow hook guards this file against generic Read, so this is how a dispatched agent gets the intent goal. Returns { intent, body } as JSON.",inputSchema:dY,outputSchema:{type:"object",properties:{intent:{type:"string"},body:{type:"string",description:"Intent body (FM stripped)."},error:{type:"string",description:"On not-found."}}}},{name:"haiku_read_discovery",description:"Read a discovery template body, resolved through the project\u2192plugin override cascade and with frontmatter stripped (the `location:`/`tool:` FM is engine bookkeeping). The body is the content guide + quality signals the discovery agent authors its artifact from. Returns { template, body } as JSON.",inputSchema:pY,outputSchema:{type:"object",properties:{template:{type:"string"},body:{type:"string",description:"Template body (FM stripped)."},error:{type:"string",description:"On not-found."}}}},{name:"haiku_read_phase",description:"Read a stage's phase override body (`phases/<PHASE>.md`), resolved through the project\u2192plugin override cascade and with frontmatter stripped. Returns { phase, body } as JSON; `error: phase_not_found` when the stage ships no override for that phase.",inputSchema:hY,outputSchema:{type:"object",properties:{phase:{type:"string"},body:{type:"string",description:"Phase override body (FM stripped)."},error:{type:"string",description:"On not-found."}}}},{name:"haiku_read_output",description:"Read an output template body (`outputs/<name>.md`), resolved through the project\u2192plugin override cascade and with frontmatter stripped. The body is the artifact-shape guide the producing hat follows. Returns { name, body } as JSON.",inputSchema:mY,outputSchema:{type:"object",properties:{name:{type:"string"},body:{type:"string",description:"Output template body (FM stripped)."},error:{type:"string",description:"On not-found."}}}},{name:"haiku_unit_delete",description:"Delete a unit. ONLY permitted when the unit's status is `pending`. Active and completed units are immutable per the forward-only lifecycle rule \u2014 once a unit has informed downstream work, deleting it would silently invalidate that work. Returns an error naming the rule when called against a non-pending unit.",inputSchema:RY,outputSchema:{type:"object",properties:{ok:{type:"boolean"},message:{type:"string"},error:{type:"string"},current_status:{type:"string"},required_status:{type:"string",const:"pending"}}}},{name:"haiku_unit_write",description:`Create or fully rewrite a unit file. This is the ONLY agent-callable path for authoring units \u2014 generic file Write/Edit on \`units/*.md\` is denied at the hook layer. The body is freeform markdown; the optional \`frontmatter\` is validated against the FM schema (depends_on entries must be strings with no self-reference and no cycles among declared units; etc.). Lifecycle: only allowed when the unit doesn't exist yet OR when its status is \`pending\`. Active and completed units are immutable.
 
-Allowed FM fields (agent-authorable): ${NE.join(", ")} \u2014 plus any stage-specific fields the per-stage \`phases/ELABORATION.md\` documents.
+Allowed FM fields (agent-authorable): ${Mb.join(", ")} \u2014 plus any stage-specific fields the per-stage \`phases/ELABORATION.md\` documents.
 
-Forbidden FM fields (workflow-driven, mutating these returns \`fsm_field_forbidden\`): ${Zf.join(", ")}.`,inputSchema:d9,outputSchema:{type:"object",properties:{ok:{type:"boolean"},created:{type:"boolean",description:"True if a new file was created; false if an existing pending unit was rewritten."},unit:{type:"string",description:"Unit name."},stage:{type:"string",description:"Stage name."},intent:{type:"string",description:"Intent slug."},message:{type:"string"},error:{type:"string",description:"Stable error code: `frontmatter_validation_failed`, `dag_cycle_detected`, `lifecycle_violation`, `missing_args`, etc."},errors:{type:"array",items:{type:"string"},description:"Per-rule error messages from the FM validator (e.g. `fsm_field_forbidden: '...'`)."},cycle_nodes:{type:"array",items:{type:"string"},description:"On `dag_cycle_detected`: the unit names involved in the cycle."},current_status:{type:"string",description:"On `lifecycle_violation`: the current immutable status (active/completed)."}},required:["message"]}},{name:"haiku_reconciliation_acknowledge",description:"Acknowledge upstream-artifact divergences detected by the pre-elaboration reconciliation gate. Records the decision in the stage's decision_log so the gate falls through on the next tick. Use this when the divergence is intentional (e.g. the upstream artifacts describe different surfaces that genuinely need different names). When the divergence is unintentional, edit the upstream artifacts to reconcile and re-run haiku_run_next instead \u2014 do NOT acknowledge to skip the work.",inputSchema:xZ,outputSchema:{type:"object",properties:{ok:{type:"boolean"},intent:{type:"string"},stage:{type:"string"},rationale:{type:"string"},error:{type:"string"}}}},{name:"haiku_decision_record",description:"Record an elaboration decision in the stage's decision_log, OR declare 'no architectural decisions in scope' for the stage. Used in collaborative-mode stages to track meaningful human-AI knowledge-unification moments instead of counting interaction turns. Each entry is an architectural choice the user picked between options, OR a choice the agent made and surfaced for veto-style approval. Padding questions don't count.",inputSchema:OZ,outputSchema:{type:"object",properties:{ok:{type:"boolean"},message:{type:"string"},error:{type:"string"}}}},{name:"haiku_knowledge_list",description:"List knowledge artifacts for an intent",inputSchema:NZ,outputSchema:{type:"object",properties:{files:{type:"array",items:{type:"string"}}},required:["files"]}},{name:"haiku_knowledge_read",description:"Read a knowledge artifact",inputSchema:PZ,outputSchema:{type:"object",properties:{found:{type:"boolean"},name:{type:"string"},content:{type:"string",description:"Raw markdown body."}},required:["found","name","content"]}},{name:"haiku_skill_list",description:"List all Claude Code skills (slash commands) installed in the user's environment \u2014 plugin root, project-local (.claude/skills/), and global (~/.claude/plugins/*/skills/). The elaborator calls this to annotate units with `applicable_skills:` frontmatter; hat subagent prompts surface those skills automatically.",inputSchema:OL,outputSchema:{type:"object",properties:{skills:{type:"array",items:{type:"object",properties:{slug:{type:"string",description:"Skill slug \u2014 the identifier used in `applicable_skills:` frontmatter (no leading `/`)."},name:{type:"string"},description:{type:"string"},source:{type:"string",enum:["plugin","project","global"]}},required:["slug","name","description","source"]}}},required:["skills"]}},{name:"haiku_studio_list",description:"List all available studios with their description, stages, and category. Project-level studios (.haiku/studios/) override built-in ones on name collision.",inputSchema:OL,outputSchema:{type:"object",properties:{studios:{type:"array",items:{type:"object",properties:{name:{type:"string"},slug:{type:"string"},description:{type:"string"},category:{type:"string"},stages:{type:"array",items:{type:"string"}},source:{type:"string",enum:["project","plugin"]}},required:["name","slug"]}}},required:["studios"]}},{name:"haiku_studio_get",description:"Read a studio's STUDIO.md \u2014 returns frontmatter fields and body text. Resolves project-level override first, then built-in.",inputSchema:CZ,outputSchema:{type:"object",properties:{found:{type:"boolean"},name:{type:"string"},slug:{type:"string"},aliases:{type:"array",items:{type:"string"}},dir:{type:"string"},description:{type:"string"},category:{type:"string"},stages:{type:"array",items:{type:"string"}},source:{type:"string"},path:{type:"string"},studio_md:{type:"string"},body:{type:"string"}},required:["found"],additionalProperties:!0}},{name:"haiku_studio_stage_get",description:"Read a stage's STAGE.md from a studio \u2014 returns frontmatter fields (hats, review, requires, produces) and body text. Resolves project-level override first, then built-in.",inputSchema:MZ,outputSchema:{type:"object",properties:{found:{type:"boolean"},body:{type:"string"},studio:{type:"string"},studio_dir:{type:"string"},stage_md:{type:"string"}},required:["found"],additionalProperties:!0}},{name:"haiku_settings_get",description:"Read a field from .haiku/settings.yml. Two top-level fields are load-bearing: `studio` (the lifecycle template name) and `providers.*` (configured external-system providers). Dot-paths like `providers.ticketing.type` work. Returns empty string if not set.",inputSchema:DZ,outputSchema:{type:"object",properties:{found:{type:"boolean"},field:{type:"string"},value:{description:"Field value \u2014 null when missing."}},required:["found","field"]}},{name:"haiku_settings_set",description:"Set a top-level field in .haiku/settings.yml. Validated against plugin/schemas/settings.schema.json. Pass `null` to delete a field. Use this instead of editing the file directly \u2014 Edit/Write/MultiEdit on .haiku/settings.yml is denied by the workflow-fields hook.",inputSchema:LZ,outputSchema:{type:"object",properties:{ok:{type:"boolean"},field:{type:"string"},message:{type:"string"},error:{type:"string"}}}},{name:"haiku_intent_set",description:`Set a frontmatter field on an intent's intent.md. Validated against INTENT_FRONTMATTER_SCHEMA. Agent-authorable fields: ${JT.join(", ")} (note 'studio' is immutable post-creation). Engine-only fields (${XT.join(", ")}) are rejected \u2014 those are mutated by the workflow engine itself. Use this instead of editing intent.md directly \u2014 Edit/Write/MultiEdit on intent.md is denied by the workflow-fields hook.`,inputSchema:IZ,outputSchema:{type:"object",properties:{ok:{type:"boolean"},intent:{type:"string"},field:{type:"string"},message:{type:"string"},error:{type:"string"}}}},{name:"haiku_stage_set",description:"Set a field on stage state. v4: stage state.json is dead \u2014 status / phase / gate_outcome / etc. derive from per-unit FM and branch-merge state. This tool stays as a no-op-with-stable-error so legacy callers get a clean rejection. Agent calls return `stage_field_engine_only`.",inputSchema:ZZ,outputSchema:{type:"object",properties:{ok:{type:"boolean"},intent:{type:"string"},stage:{type:"string"},field:{type:"string"},message:{type:"string"},error:{type:"string"}}}},{name:"haiku_capacity",description:"Returns a capacity report grouped by studio \u2014 completed/active counts and median bolt counts per stage.",inputSchema:UZ,outputSchema:{type:"object",properties:{markdown:{type:"string",description:"Rendered capacity report as markdown text."},studio:{type:["string","null"],description:"Echoed studio filter when one was provided."}},required:["markdown"]}},{name:"haiku_zap",description:"Zero-ceremony single-task run through a stage's hat loop \u2014 stateless (no `.haiku/` files, no workflow tick). Resolves the studio + stage, reads STAGE.md + each hat body via the three-tier cascade, assigns plan/build/verify roles, and returns ready-to-run markdown: the resolved hat sequence, a ready-to-spawn subagent prompt per hat (stage scope + hat mandate + role instructions + the task), and the run/verify/commit procedure (preflight clean-tree check, sequential hat dispatch, PASS/FAIL verdict parsing, commit-only-on-PASS, retry cap of 2). On a bad studio/stage it returns `zap_studio_not_found` / `zap_stage_not_found` with the valid options. The agent follows the returned `message` verbatim and drives the sequential loop.",inputSchema:FZ,outputSchema:{type:"object",properties:{message:{type:"string",description:"Markdown instructions the agent follows verbatim (resolved hats, per-hat subagent prompts, run/verify/commit procedure). Always present, including on error responses."},error:{type:"string",description:"Stable named error code (`zap_studio_not_found` / `zap_stage_not_found`) when resolution fails."},studio:{type:"string",description:"Echoed resolved studio slug (success or stage error)."},stage:{type:"string",description:"Echoed resolved stage name on success."},valid_studios:{type:"array",items:{type:"string"},description:"Available studio slugs (zap_studio_not_found path)."},valid_stages:{type:"array",items:{type:"string"},description:"The studio's stage list (zap_stage_not_found path)."}},required:["message"]}},{name:"haiku_review",description:"Runs a git diff against main/upstream and returns formatted pre-delivery code review instructions with diff, stats, review guidelines, and review-agent config.",inputSchema:jZ,outputSchema:{type:"object",properties:{message:{type:"string"}}}},{name:"haiku_review_open",description:'Open an ad-hoc review pane in the browser for the active intent and BLOCK until the reviewer clicks Done or Request Changes (or the pane times out at 30min). The UI swaps Approve for Done/Close, shows an "Ad-hoc review" badge, and never mutates workflow engine state on its own. Return value is a concrete next-step instruction: on Done the tool returns "no changes requested"; on Request Changes it returns a nudge to call haiku_run_next so the durable feedback routes through the normal fix-loop / revisit path.',inputSchema:HZ,outputSchema:{type:"object",properties:{message:{type:"string"}}}},{name:"haiku_view",description:'Open a URL the caller can hand to the bundled `haiku-playwright` MCP for runtime verification, visual inspection, or any browser-driven check. Two modes. **Viewer**: tunneled URL pointing at the SPA\'s artifact-browser route \u2014 for inspecting a single rendered artifact. **Boot**: spawns the project\'s runnable stack and returns a localhost URL pointing at the primary process. Boot accepts either `command` (single-process app: `["uvicorn", "app:main"]`, `["bin/dev"]`, `["go", "run", "./cmd/server"]`) or `processes` (multi-process stack: api + frontend + db + worker, with `depends_on` order and `primary` naming the Playwright target). The engine allocates ephemeral ports, sets `PORT`/`HOST` env vars, and exposes `<DEP_NAME>_PORT` + `<DEP_NAME>_URL` to dependents for service discovery. Falls back to a `package.json` `dev`/`start` fast-path when neither `command` nor `processes` is supplied. Non-blocking \u2014 closes via `haiku_view_close` or the 30-minute session TTL; close kills the whole process group.',inputSchema:VZ,outputSchema:{type:"object",properties:{session_id:{type:"string"},url:{type:"string"},mode:{type:"string",enum:["viewer","boot"]},intent:{type:"string"},stage:{type:["string","null"]},artifact:{type:["string","null"]},note:{type:"string"}},required:["session_id","url","mode","intent"]}},{name:"haiku_view_close",description:"Explicitly close a view session opened by `haiku_view`. Idempotent \u2014 closing an unknown or already-closed session returns success. Boot-mode sessions (when supported) also terminate the spawned dev server. Use this when the verifier or browsing flow is complete so the session releases its tunnel slot promptly instead of waiting for the standard TTL eviction.",inputSchema:WZ,outputSchema:{type:"object",properties:{closed:{type:"boolean"},session_id:{type:"string"},was_view_session:{type:"boolean"}},required:["closed","session_id"]}},{name:"haiku_backlog",description:"Manage the backlog: list items, add new items, review items interactively, or promote items to intents.",inputSchema:qZ,outputSchema:{type:"object",properties:{markdown:{type:"string",description:"Rendered backlog report as markdown text."},action:{type:"string",enum:["list","add","review","promote"]}},required:["markdown"]}},{name:"haiku_seed",description:"Manage seeds (future ideas): list by status, plant a new seed, or check planted seeds for trigger conditions.",inputSchema:BZ,outputSchema:{type:"object",properties:{message:{type:"string"}}}},{name:"haiku_feedback",description:'Create a feedback item for an intent. Writes a markdown file with frontmatter tracking status, origin, and author. Omit `stage` to log an intent-scope finding (used by the studio-level pre-intent-completion review layer). To request a stage rewind from the agent side (planner blocked, upstream gap, etc.), pass `stage: "<earlier-stage>"` and `resolution: "stage_revisit"` \u2014 the next `haiku_run_next` will route the agent to that stage via the feedback walk (emits `start_feedback_hat` at the target stage; post-cursor branch switch moves the working tree there). Revisit is a property of run_next mechanics, not a separate verb. Pass `inline_anchor: { selected_text, paragraph, location, file_path? }` when the finding points at a specific span of an artifact \u2014 the SPA will scroll-and-flash the excerpt when the reviewer clicks the feedback card. Adversarial-review and studio-review hats should attach an anchor whenever they cite a specific line. If the user provides a file as context for this finding (a doc, a screenshot, a log, a path like `~/Downloads/notes.pdf`), read it and synthesize the relevant substance directly into `body` \u2014 NEVER store or reference the file path. An absolute path leaks the user\u2019s machine layout and the external file won\u2019t persist with the feedback; the body must stand on its own from its own text. The `inline_anchor.file_path` exception is an INTENT-relative artifact path the SPA resolves, not an external machine path.',inputSchema:fZ,outputSchema:{type:"object",properties:{feedback_id:{type:"string",description:"e.g. FB-01"},file:{type:"string",description:"Repo-relative path to the FB markdown file."},status:{type:"string"},message:{type:"string"},push_warning:{type:"string",description:"Set when the post-write git push failed."}}}},{name:"haiku_feedback_delete",description:"Delete a feedback file. Cannot delete pending items. Agents cannot delete human-authored items. Omit `stage` for intent-scope feedback.",inputSchema:mZ,outputSchema:{type:"object",properties:{feedback_id:{type:"string"},deleted:{type:"boolean"},message:{type:"string"}}}},{name:"haiku_feedback_move",description:'Triage placement for a feedback item. Pass `to_stage` equal to the source `stage` to confirm the FB belongs where it lives (sets `triaged_at` only). Pass a different `to_stage` to relocate it \u2014 the file moves to the target stage\'s feedback dir, gets renumbered to the next free FB-NN there, and `triaged_at` is set. Use "" for intent-scope (either source or target). Closed and rejected FBs are immutable; rejected with an error.',inputSchema:gZ,outputSchema:{type:"object",properties:{feedback_id:{type:"string",description:"FB-NN id in the target location (renumbered on move)."},file:{type:"string",description:"Repo-relative path to the FB file after the operation."},moved:{type:"boolean",description:"True when the file was relocated; false on confirm."},triaged_at:{type:"string"},message:{type:"string"}}}},{name:"haiku_feedback_reject",description:"Reject an agent-authored feedback item with a reason. Sets status to rejected and appends rejection reason to body. Omit `stage` for intent-scope feedback.",inputSchema:yZ,outputSchema:{type:"object",properties:{feedback_id:{type:"string"},status:{type:"string",const:"rejected"},message:{type:"string"}}}},{name:"haiku_feedback_list",description:"List feedback items with optional filtering. Omit stage to list across all stages.",inputSchema:SZ,outputSchema:{type:"object",properties:{items:{type:"array",items:{type:"object",additionalProperties:!0}}},required:["items"]}},{name:"haiku_feedback_read",description:"Read a feedback file's body content (and title). Returns ONLY the body and title \u2014 frontmatter is workflow engine-internal and not exposed to agents per the architecture's FM-is-workflow engine-only rule. Use this when a fixer hat needs to read its own FB diagnosis or when a reviewer needs to read prior findings on the same artifact. Returns { title, body } as JSON. Omit `stage` to read an intent-scope FB.",inputSchema:EZ,outputSchema:{type:"object",properties:{title:{type:"string"},body:{type:"string"},error:{type:"string"}}}},{name:"haiku_feedback_write",description:`Update a feedback file's body content. This is the architecture-mandated path for fixer hats to populate the FB body with diagnosis (root cause, proposed action, file:line refs) per the FB-as-unit model. Generic Write/Edit on feedback/*.md is denied at the hook layer. Lifecycle: only pending or addressed (under-fix) FBs accept body rewrites. Closed and rejected FBs are immutable.
+Forbidden FM fields (workflow-driven, mutating these returns \`fsm_field_forbidden\`): ${Jf.join(", ")}.`,inputSchema:AY,outputSchema:{type:"object",properties:{ok:{type:"boolean"},created:{type:"boolean",description:"True if a new file was created; false if an existing pending unit was rewritten."},unit:{type:"string",description:"Unit name."},stage:{type:"string",description:"Stage name."},intent:{type:"string",description:"Intent slug."},message:{type:"string"},error:{type:"string",description:"Stable error code: `frontmatter_validation_failed`, `dag_cycle_detected`, `lifecycle_violation`, `missing_args`, etc."},errors:{type:"array",items:{type:"string"},description:"Per-rule error messages from the FM validator (e.g. `fsm_field_forbidden: '...'`)."},cycle_nodes:{type:"array",items:{type:"string"},description:"On `dag_cycle_detected`: the unit names involved in the cycle."},current_status:{type:"string",description:"On `lifecycle_violation`: the current immutable status (active/completed)."}},required:["message"]}},{name:"haiku_reconciliation_acknowledge",description:"Acknowledge upstream-artifact divergences detected by the pre-elaboration reconciliation gate. Records the decision in the stage's decision_log so the gate falls through on the next tick. Use this when the divergence is intentional (e.g. the upstream artifacts describe different surfaces that genuinely need different names). When the divergence is unintentional, edit the upstream artifacts to reconcile and re-run haiku_run_next instead \u2014 do NOT acknowledge to skip the work.",inputSchema:z9,outputSchema:{type:"object",properties:{ok:{type:"boolean"},intent:{type:"string"},stage:{type:"string"},rationale:{type:"string"},error:{type:"string"}}}},{name:"haiku_decision_record",description:"Record an elaboration decision in the stage's decision_log, OR declare 'no architectural decisions in scope' for the stage. Used in collaborative-mode stages to track meaningful human-AI knowledge-unification moments instead of counting interaction turns. Each entry is an architectural choice the user picked between options, OR a choice the agent made and surfaced for veto-style approval. Padding questions don't count.",inputSchema:G9,outputSchema:{type:"object",properties:{ok:{type:"boolean"},message:{type:"string"},error:{type:"string"}}}},{name:"haiku_knowledge_list",description:"List knowledge artifacts for an intent",inputSchema:V9,outputSchema:{type:"object",properties:{files:{type:"array",items:{type:"string"}}},required:["files"]}},{name:"haiku_knowledge_read",description:"Read a knowledge artifact",inputSchema:W9,outputSchema:{type:"object",properties:{found:{type:"boolean"},name:{type:"string"},content:{type:"string",description:"Raw markdown body."}},required:["found","name","content"]}},{name:"haiku_skill_list",description:"List all Claude Code skills (slash commands) installed in the user's environment \u2014 plugin root, project-local (.claude/skills/), and global (~/.claude/plugins/*/skills/). The elaborator calls this to annotate units with `applicable_skills:` frontmatter; hat subagent prompts surface those skills automatically.",inputSchema:jL,outputSchema:{type:"object",properties:{skills:{type:"array",items:{type:"object",properties:{slug:{type:"string",description:"Skill slug \u2014 the identifier used in `applicable_skills:` frontmatter (no leading `/`)."},name:{type:"string"},description:{type:"string"},source:{type:"string",enum:["plugin","project","global"]}},required:["slug","name","description","source"]}}},required:["skills"]}},{name:"haiku_studio_list",description:"List all available studios with their description, stages, and category. Project-level studios (.haiku/studios/) override built-in ones on name collision.",inputSchema:jL,outputSchema:{type:"object",properties:{studios:{type:"array",items:{type:"object",properties:{name:{type:"string"},slug:{type:"string"},description:{type:"string"},category:{type:"string"},stages:{type:"array",items:{type:"string"}},source:{type:"string",enum:["project","plugin"]}},required:["name","slug"]}}},required:["studios"]}},{name:"haiku_studio_get",description:"Read a studio's STUDIO.md \u2014 returns frontmatter fields and body text. Resolves project-level override first, then built-in.",inputSchema:K9,outputSchema:{type:"object",properties:{found:{type:"boolean"},name:{type:"string"},slug:{type:"string"},aliases:{type:"array",items:{type:"string"}},dir:{type:"string"},description:{type:"string"},category:{type:"string"},stages:{type:"array",items:{type:"string"}},source:{type:"string"},path:{type:"string"},studio_md:{type:"string"},body:{type:"string"}},required:["found"],additionalProperties:!0}},{name:"haiku_studio_stage_get",description:"Read a stage's STAGE.md from a studio \u2014 returns frontmatter fields (hats, review, requires, produces) and body text. Resolves project-level override first, then built-in.",inputSchema:Y9,outputSchema:{type:"object",properties:{found:{type:"boolean"},body:{type:"string"},studio:{type:"string"},studio_dir:{type:"string"},stage_md:{type:"string"}},required:["found"],additionalProperties:!0}},{name:"haiku_settings_get",description:"Read a field from .haiku/settings.yml. Two top-level fields are load-bearing: `studio` (the lifecycle template name) and `providers.*` (configured external-system providers). Dot-paths like `providers.ticketing.type` work. Returns empty string if not set.",inputSchema:Z9,outputSchema:{type:"object",properties:{found:{type:"boolean"},field:{type:"string"},value:{description:"Field value \u2014 null when missing."}},required:["found","field"]}},{name:"haiku_settings_set",description:"Set a top-level field in .haiku/settings.yml. Validated against plugin/schemas/settings.schema.json. Pass `null` to delete a field. Use this instead of editing the file directly \u2014 Edit/Write/MultiEdit on .haiku/settings.yml is denied by the workflow-fields hook.",inputSchema:J9,outputSchema:{type:"object",properties:{ok:{type:"boolean"},field:{type:"string"},message:{type:"string"},error:{type:"string"}}}},{name:"haiku_intent_set",description:`Set a frontmatter field on an intent's intent.md. Validated against INTENT_FRONTMATTER_SCHEMA. Agent-authorable fields: ${XT.join(", ")} (note 'studio' is immutable post-creation). Engine-only fields (${QT.join(", ")}) are rejected \u2014 those are mutated by the workflow engine itself. Use this instead of editing intent.md directly \u2014 Edit/Write/MultiEdit on intent.md is denied by the workflow-fields hook.`,inputSchema:B9,outputSchema:{type:"object",properties:{ok:{type:"boolean"},intent:{type:"string"},field:{type:"string"},message:{type:"string"},error:{type:"string"}}}},{name:"haiku_stage_set",description:"Set a field on stage state. v4: stage state.json is dead \u2014 status / phase / gate_outcome / etc. derive from per-unit FM and branch-merge state. This tool stays as a no-op-with-stable-error so legacy callers get a clean rejection. Agent calls return `stage_field_engine_only`.",inputSchema:cY,outputSchema:{type:"object",properties:{ok:{type:"boolean"},intent:{type:"string"},stage:{type:"string"},field:{type:"string"},message:{type:"string"},error:{type:"string"}}}},{name:"haiku_capacity",description:"Returns a capacity report grouped by studio \u2014 completed/active counts and median bolt counts per stage.",inputSchema:X9,outputSchema:{type:"object",properties:{markdown:{type:"string",description:"Rendered capacity report as markdown text."},studio:{type:["string","null"],description:"Echoed studio filter when one was provided."}},required:["markdown"]}},{name:"haiku_zap",description:"Zero-ceremony single-task run through a stage's hat loop \u2014 stateless (no `.haiku/` files, no workflow tick). Resolves the studio + stage, reads STAGE.md + each hat body via the three-tier cascade, assigns plan/build/verify roles, and returns ready-to-run markdown: the resolved hat sequence, a ready-to-spawn subagent prompt per hat (stage scope + hat mandate + role instructions + the task), and the run/verify/commit procedure (preflight clean-tree check, sequential hat dispatch, PASS/FAIL verdict parsing, commit-only-on-PASS, retry cap of 2). On a bad studio/stage it returns `zap_studio_not_found` / `zap_stage_not_found` with the valid options. The agent follows the returned `message` verbatim and drives the sequential loop.",inputSchema:Q9,outputSchema:{type:"object",properties:{message:{type:"string",description:"Markdown instructions the agent follows verbatim (resolved hats, per-hat subagent prompts, run/verify/commit procedure). Always present, including on error responses."},error:{type:"string",description:"Stable named error code (`zap_studio_not_found` / `zap_stage_not_found`) when resolution fails."},studio:{type:"string",description:"Echoed resolved studio slug (success or stage error)."},stage:{type:"string",description:"Echoed resolved stage name on success."},valid_studios:{type:"array",items:{type:"string"},description:"Available studio slugs (zap_studio_not_found path)."},valid_stages:{type:"array",items:{type:"string"},description:"The studio's stage list (zap_stage_not_found path)."}},required:["message"]}},{name:"haiku_review",description:"Runs a git diff against main/upstream and returns formatted pre-delivery code review instructions with diff, stats, review guidelines, and review-agent config.",inputSchema:$9,outputSchema:{type:"object",properties:{message:{type:"string"}}}},{name:"haiku_review_open",description:'Open an ad-hoc review pane in the browser for the active intent and BLOCK until the reviewer clicks Done or Request Changes (or the pane times out at 30min). The UI swaps Approve for Done/Close, shows an "Ad-hoc review" badge, and never mutates workflow engine state on its own. Return value is a concrete next-step instruction: on Done the tool returns "no changes requested"; on Request Changes it returns a nudge to call haiku_run_next so the durable feedback routes through the normal fix-loop / revisit path.',inputSchema:eY,outputSchema:{type:"object",properties:{message:{type:"string"}}}},{name:"haiku_view",description:'Open a URL the caller can hand to the bundled `haiku-playwright` MCP for runtime verification, visual inspection, or any browser-driven check. Two modes. **Viewer**: tunneled URL pointing at the SPA\'s artifact-browser route \u2014 for inspecting a single rendered artifact. **Boot**: spawns the project\'s runnable stack and returns a localhost URL pointing at the primary process. Boot accepts either `command` (single-process app: `["uvicorn", "app:main"]`, `["bin/dev"]`, `["go", "run", "./cmd/server"]`) or `processes` (multi-process stack: api + frontend + db + worker, with `depends_on` order and `primary` naming the Playwright target). The engine allocates ephemeral ports, sets `PORT`/`HOST` env vars, and exposes `<DEP_NAME>_PORT` + `<DEP_NAME>_URL` to dependents for service discovery. Falls back to a `package.json` `dev`/`start` fast-path when neither `command` nor `processes` is supplied. Non-blocking \u2014 closes via `haiku_view_close` or the 30-minute session TTL; close kills the whole process group.',inputSchema:sY,outputSchema:{type:"object",properties:{session_id:{type:"string"},url:{type:"string"},mode:{type:"string",enum:["viewer","boot"]},intent:{type:"string"},stage:{type:["string","null"]},artifact:{type:["string","null"]},note:{type:"string"}},required:["session_id","url","mode","intent"]}},{name:"haiku_view_close",description:"Explicitly close a view session opened by `haiku_view`. Idempotent \u2014 closing an unknown or already-closed session returns success. Boot-mode sessions (when supported) also terminate the spawned dev server. Use this when the verifier or browsing flow is complete so the session releases its tunnel slot promptly instead of waiting for the standard TTL eviction.",inputSchema:oY,outputSchema:{type:"object",properties:{closed:{type:"boolean"},session_id:{type:"string"},was_view_session:{type:"boolean"}},required:["closed","session_id"]}},{name:"haiku_backlog",description:"Manage the backlog: list items, add new items, review items interactively, or promote items to intents.",inputSchema:tY,outputSchema:{type:"object",properties:{markdown:{type:"string",description:"Rendered backlog report as markdown text."},action:{type:"string",enum:["list","add","review","promote"]}},required:["markdown"]}},{name:"haiku_seed",description:"Manage seeds (future ideas): list by status, plant a new seed, or check planted seeds for trigger conditions.",inputSchema:nY,outputSchema:{type:"object",properties:{message:{type:"string"}}}},{name:"haiku_feedback",description:'Create a feedback item for an intent. Writes a markdown file with frontmatter tracking status, origin, and author. Omit `stage` to log an intent-scope finding (used by the studio-level pre-intent-completion review layer). To request a stage rewind from the agent side (planner blocked, upstream gap, etc.), pass `stage: "<earlier-stage>"` and `resolution: "stage_revisit"` \u2014 the next `haiku_run_next` will route the agent to that stage via the feedback walk (emits `start_feedback_hat` at the target stage; post-cursor branch switch moves the working tree there). Revisit is a property of run_next mechanics, not a separate verb. Pass `inline_anchor: { selected_text, paragraph, location, file_path? }` when the finding points at a specific span of an artifact \u2014 the SPA will scroll-and-flash the excerpt when the reviewer clicks the feedback card. Adversarial-review and studio-review hats should attach an anchor whenever they cite a specific line. If the user provides a file as context for this finding (a doc, a screenshot, a log, a path like `~/Downloads/notes.pdf`), read it and synthesize the relevant substance directly into `body` \u2014 NEVER store or reference the file path. An absolute path leaks the user\u2019s machine layout and the external file won\u2019t persist with the feedback; the body must stand on its own from its own text. The `inline_anchor.file_path` exception is an INTENT-relative artifact path the SPA resolves, not an external machine path.',inputSchema:w9,outputSchema:{type:"object",properties:{feedback_id:{type:"string",description:"e.g. FB-01"},file:{type:"string",description:"Repo-relative path to the FB markdown file."},status:{type:"string"},message:{type:"string"},push_warning:{type:"string",description:"Set when the post-write git push failed."}}}},{name:"haiku_feedback_delete",description:"Delete a feedback file. Cannot delete pending items. Agents cannot delete human-authored items. Omit `stage` for intent-scope feedback.",inputSchema:x9,outputSchema:{type:"object",properties:{feedback_id:{type:"string"},deleted:{type:"boolean"},message:{type:"string"}}}},{name:"haiku_feedback_move",description:'Triage placement for a feedback item. Pass `to_stage` equal to the source `stage` to confirm the FB belongs where it lives (sets `triaged_at` only). Pass a different `to_stage` to relocate it \u2014 the file moves to the target stage\'s feedback dir, gets renumbered to the next free FB-NN there, and `triaged_at` is set. Use "" for intent-scope (either source or target). Closed and rejected FBs are immutable; rejected with an error.',inputSchema:O9,outputSchema:{type:"object",properties:{feedback_id:{type:"string",description:"FB-NN id in the target location (renumbered on move)."},file:{type:"string",description:"Repo-relative path to the FB file after the operation."},moved:{type:"boolean",description:"True when the file was relocated; false on confirm."},triaged_at:{type:"string"},message:{type:"string"}}}},{name:"haiku_feedback_reject",description:"Reject an agent-authored feedback item with a reason. Sets status to rejected and appends rejection reason to body. Omit `stage` for intent-scope feedback.",inputSchema:P9,outputSchema:{type:"object",properties:{feedback_id:{type:"string"},status:{type:"string",const:"rejected"},message:{type:"string"}}}},{name:"haiku_feedback_list",description:"List feedback items with optional filtering. Omit stage to list across all stages.",inputSchema:N9,outputSchema:{type:"object",properties:{items:{type:"array",items:{type:"object",additionalProperties:!0}}},required:["items"]}},{name:"haiku_feedback_read",description:"Read a feedback file's body content (and title). Returns ONLY the body and title \u2014 frontmatter is workflow engine-internal and not exposed to agents per the architecture's FM-is-workflow engine-only rule. Use this when a fixer hat needs to read its own FB diagnosis or when a reviewer needs to read prior findings on the same artifact. Returns { title, body } as JSON. Omit `stage` to read an intent-scope FB.",inputSchema:C9,outputSchema:{type:"object",properties:{title:{type:"string"},body:{type:"string"},error:{type:"string"}}}},{name:"haiku_feedback_write",description:`Update a feedback file's body content. This is the architecture-mandated path for fixer hats to populate the FB body with diagnosis (root cause, proposed action, file:line refs) per the FB-as-unit model. Generic Write/Edit on feedback/*.md is denied at the hook layer. Lifecycle: only pending or addressed (under-fix) FBs accept body rewrites. Closed and rejected FBs are immutable.
 
 Frontmatter is workflow engine-controlled and cannot be set through this tool. For reference (when reading FB context):
-  \u2022 workflow-driven (mutated over the FB lifecycle): ${wL.join(", ")}
-  \u2022 Set at creation, immutable thereafter: ${kL.join(", ")}
+  \u2022 workflow-driven (mutated over the FB lifecycle): ${DL.join(", ")}
+  \u2022 Set at creation, immutable thereafter: ${LL.join(", ")}
 
-Use haiku_feedback_update for status transitions and haiku_feedback_reject for rejections.`,inputSchema:bZ,outputSchema:{type:"object",properties:{ok:{type:"boolean"},feedback_id:{type:"string"},stage:{type:["string","null"]},intent:{type:"string"},message:{type:"string"},error:{type:"string"},current_status:{type:"string"}}}},{name:"haiku_feedback_advance_hat",description:"Advance an FB to the next fix-hat. The response carries `next_subagent_dispatch_block` and a `message` \u2014 follow them.",inputSchema:vZ,outputSchema:{type:"object",properties:{ok:{type:"boolean"},feedback_id:{type:"string"},stage:{type:["string","null"]},calling_hat:{type:"string"},next_dispatched_hat:{type:["string","null"]},closed:{type:"boolean"},bolt:{type:"number"},next_subagent_dispatch_block:{type:["string","null"]},message:{type:"string"},error:{type:"string"}}}},{name:"haiku_feedback_reject_hat",description:"Reject the current fix-hat's work on an FB \u2014 moves back to the previous hat and increments the FB's bolt counter. Pass `reason` so the FB's iteration history records why the hat was rejected. Mirrors haiku_unit_reject_hat for FBs.",inputSchema:AZ,outputSchema:{type:"object",properties:{ok:{type:"boolean"},feedback_id:{type:"string"},rejecting_hat:{type:"string"},next_dispatched_hat:{type:["string","null"]},new_bolt:{type:"number"},reason:{type:"string"},next_subagent_dispatch_block:{type:["string","null"],description:"The bounced-to prior hat's dispatch block on the SAME FB \u2014 relay it verbatim to re-run that hat. Null when it can't be built."},message:{type:"string"},error:{type:"string"}}}},{name:"haiku_feedback_set_targets",description:"Classify a user-authored feedback's targets \u2014 set `target_unit` (which unit this counter-signals) and `target_invalidates` (which approval roles get cleared on closure). Called by the `classifier` fix-hat as the FIRST hat in a stage's `fix_hats:` chain when the FB was filed without targets (e.g. via the SPA, where the human can't classify). Refuses to overwrite an FB that already has classified targets \u2014 once set, immutable per the FB-as-unit architecture.",inputSchema:_Z,outputSchema:{type:"object",properties:{ok:{type:"boolean"},feedback_id:{type:"string"},target_unit:{type:["string","null"]},target_invalidates:{type:"array",items:{type:"string"}},message:{type:"string"},error:{type:"string"}}}},{name:"haiku_feedback_set_severity",description:"Classify a feedback's severity \u2014 set `severity` (blocker | high | medium | low). Called by the `classifier` fix-hat (first in the `fix_hats:` chain) when the FB was filed WITHOUT a severity (e.g. via the SPA, where the human can't classify). The fix-loop dispatches higher-severity findings first. Refuses to overwrite an FB that already has a severity \u2014 once set, immutable per the FB-as-unit architecture (agent-filed FBs carry severity from creation, so this is a no-op-confirm on those).",inputSchema:TZ,outputSchema:{type:"object",properties:{ok:{type:"boolean"},feedback_id:{type:"string"},severity:{type:"string"},message:{type:"string"},error:{type:"string"}}}},{name:"haiku_release_notes",description:"Extract release notes from CHANGELOG.md \u2014 a specific version or the 5 most recent entries.",inputSchema:GZ,outputSchema:{type:"object",properties:{markdown:{type:"string",description:"Release notes as markdown."},version:{type:["string","null"],description:"Echoed version filter (null when 5-most-recent was returned)."}},required:["markdown"]}},{name:"haiku_repair",description:"Scan intents for metadata issues and auto-apply safe fixes. In a git repo, scans all intent branches sequentially, auto-applies safe fixes, syncs changes, and opens PRs/MRs for already-merged branches. In filesystem mode, scans intents in the current working directory. Also relocates any worktrees misplaced by older H\xB7AI\xB7K\xB7U versions (which rooted `.haiku/worktrees/` at cwd instead of the primary repo) \u2014 clean worktrees are moved via `git worktree move`; dirty ones are reported for manual resolution. Pass `intent` to repair a single intent only. Pass `skip_branches: true` to force cwd-only mode in a git repo. Pass `apply: false` to scan without applying fixes.",inputSchema:zZ,outputSchema:{type:"object",properties:{markdown:{type:"string",description:"Repair report \u2014 markdown text including any worktree-migration findings."}},required:["markdown"]}},{name:"haiku_version_info",description:"Return the running MCP binary version and plugin version. MCP version is baked into the binary at build time; plugin version is read from plugin.json at runtime.",inputSchema:OL,outputSchema:{type:"object",properties:{mcp_version:{type:"string"},plugin_version:{type:"string"}},required:["mcp_version","plugin_version"]}}]});var uSe=w((vpi,pEt)=>{"use strict";pEt.exports=function(t,n){return function(){for(var i=new Array(arguments.length),s=0;s<i.length;s++)i[s]=arguments[s];return t.apply(n,i)}}});var Qc=w((Api,gEt)=>{"use strict";var gZn=uSe(),yv=Object.prototype.toString;function fSe(e){return yv.call(e)==="[object Array]"}function lSe(e){return typeof e>"u"}function yZn(e){return e!==null&&!lSe(e)&&e.constructor!==null&&!lSe(e.constructor)&&typeof e.constructor.isBuffer=="function"&&e.constructor.isBuffer(e)}function SZn(e){return yv.call(e)==="[object ArrayBuffer]"}function EZn(e){return typeof FormData<"u"&&e instanceof FormData}function bZn(e){var t;return typeof 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o=vyt(pe(r),i,s);S_t(n,o)}),e.get("/api/intents/:intent/baseline-content/intent/:sha256",async(t,n)=>{if(!Gn(t,n,null))return;let{intent:r,sha256:i}=t.params;if(!gn(r)){IY(n,"bad_param");return}if(!y_t.test(i)){IY(n,"bad_sha");return}if(!Da(r)){nEe(n,"intent_not_found");return}let s=Ayt(pe(r),i);S_t(n,s)})}var y_t,EYn,b_t=v(()=>{"use strict";A0();ze();Hg();Av();y_t=/^[0-9a-f]{64}$/,EYn={png:"image/png",jpeg:"image/jpeg",gif:"image/gif",webp:"image/webp",avif:"image/avif"}});import{brotliDecompressSync as bYn}from"node:zlib";var _Yn,Bd,xY=v(()=>{"use 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l+RNWtRh3W2u4jgJyQiXzegL9iR1GoH/NX++v1rmroGoqMnOn70sluyd6VDg4+hG/snAxCTH4klgTn9guarGU8XyquGnv0m1iY68ikbonU4g4I/1n+P/+3+X7X7+AXdyxxAKHfOjdx34hJDlxxVCLui3ogqnkh/yvt+n39Qt8qO6RjkTs2W/r0NkXbxSlyiOh7VBjy4ylLB7ozZr5em/Kv+wV0CVXievqjl0CSwprzirLky5jycEJ/19vZvb1O6xwI3SJgyQp7/cxkeEu1zhqRt57V6i9kU1hzAFCCEyXRkBaztKu8Vc5L4LDFamxRAc166y09wwSHBH5iH9dLGVJVQNN079AsjTBOfRTY06scObUVKmq9kO65AdJECJnq/KjZUn1zVYX/bf3Z/X1O4lWyJd7qho7ZB5lH5dmDfOTFftmH7WlEVlupx8Qo3YbJRLlp63eTudsLcou0/k0J/CjD8bZLDHbQtaKrMriZDczSOHPbL6nq7pkMcXi7ZLryT9dEAfM8klrBQ0yg4knl5lm//28pN5Lv9Ue588ocC4KMAYwSSXYKrMVEuyBAqqTlsZEbNX3zv6/vrWxnlCqshOEWeIezeRM2BgMeA1rMH6g4CpeIyFAEkgCbEJW/T1UMlSpI73OJbHtOEeWoQ/Y0lqmpr2bastfYO4c8qxT0bsSfFR4kR+QwaPkMFhfc/lftbS+J16QS2dSVf4DsgsyQjYDJMEclt/n4r/V9huxMCrVk69toJBeLRjMUJhp/N2NzM3DISCJMEnCNfR8vw3++/q+Hl5uOUOo21QOkW5wRFIyoP9KTU9XrgLdn/MwCvYJwCMcQl4nevGlTLHAUSbt9/m+rtYuRujgidBDXPTLYNxtHfCqfmC8UMWkddIeCfvEqCD5wRK/KZ8rsNxw/5WptGZMVWtRkcT//Gnv1++LxqOUxj23SDhFKaWTAi4YF/YxFhuzYz1bbRQLARYEndHgHWxp1m8PNZspi63o5GB5T79v9v/13VE0qtWkV/ZAcja6qg/wOsTEPCZAuM19RGGqMWYqrrTjtD0t7OttVl+/4s1VFZOjN7N7m6jtAIy7iTbGazHXIaMEa1sIrSp90DH2bVr1Uarp3Hvc6b+vmFLDs9EaI1aSPU3V33q/+f3Xt2epXrHGuZYhHLK72lQyOGTCAAHygn2kYLppBB0JhMDOlO/x89/mf//12yCkNjrKbW8zBNQXtRgcwjjlDQjsiimyswoqlUB4etar2lcUn+NjScU/jUYbmJmPaJNQuxHSszyvWXVVXWP1QZbluGS50iu5Ynwlx2wYTgT+KHv5j+7fr28zfJhh0rED916Y19cWL0tYIsI9hIMRbZuJvUIo3mgjRZF09Gpri1IlFHZEUTDeXKF8tf9YKFcNrqZlz49STT6U0iYCoS36OLnSCHE0MgOtwC1eH4ilHErBZnwgy2MpZ7ykoG84sOuynhSWZ9taIxEiI/TwaieIQqoLASIDlOdTk3P8ZJW2+H3LKul5Q/AewNYw4+BBwbOVkRFj17S8e1xv6b2M/PGzpqure53rPWfRjIQ8AYJEGPYMEhTU///vl2bN/N0XERkRCbJIkKUqsaQ21WPV49xvR0QmWKCZbhalse5v/Ffcbc7OuBbxLPO9MEJEZGYhDdDMTCS6AJp9zr0RuPe+l6j7XgRYLyITVGQCpUmAVHcCZM8CWRpTRaOlKpnVkloaa9b/zO+sRZY0s2TGqHu8//P/LI0rjbOaz/men9dZ2X5JH47m9sLYtPdI8jJVaarc2J6fMYwXuQphm1hgny3Ji55j7oN9l7oBcgD/f1+1/sv+uvfigry8gKqrWPrG2SCCCFBFFcBSu7GhC30k7HP22U1cgy/YeSRIrVclVU2/UrWt7m/cOfecC8JcsEACYEkUVa2uVr/231iXjc0i74Nwoslm/ZVrvMbXf9GLJ/rpTDRRNkEaTDb++6qvq+jyXMs26175wJ+CrlubPHrM6lb6mD0QJTD4vMoJyGc9IGL61sqaac80J1v8//et9I3+Wj0DEGZAC5pvTRAq/kM5UMZFXz/IFGSoc/a+m/NMPXa9MkCZnoV2sxxmFjEgh/TnvmpArxqU1D34prrlZr4xPiMjfQWpklipCyKFmfz/7yu1vqr+mQPuDiqaT/2m6UY5mJWbmcNJUYqm/10zmcDuPedtwp41gpu7WxLucKQIkqggKSkaSYy+7jn33mfvPTNzmJs7QG9ABgBKkRQV+UtSqGIp4veRWW0/GNWqybTtJ7OaDA3gb0DqN8zM6rphDab1/2eqfdsHglRESnaSqvQwDJsFAMoqimLSTlWtepq3vTPfeyAsAIQigENZpJyKbGeuIZZTw/juA+wCHigV8AD5i5SSYzm1iNOj06PTwzDv9r+86tr1sNz08v//VaX2bd8zM/cIj0wAmQA4qKr0iyrV/HuYt+XuEZnEQFEgKamHqX5Pwz79vXvtwe2ZmSvczD2U4R4RyhgyCxmZQBGZAIoESNp7ZuZpZu4RdPfwTEREJliZCaoqAVL1AVBVTUrqSSBVp0SpelBVT/NqmBcbkT1JPQzDrnvXiyWqVpR6Yg/j6i972ZvFtrft/7+ZVo23SBAEyOpirRbWOGZJsmVxpXS8wfvv/jvMyIjoJjKB0yQAnlmyWSOEeO/9QGZkAkUmABYLRFV3sziKvVoZzq7lreE4mNHmnLXacff/V7XeVgTvFTiah9XZWP5UfTfd3XmgNNIDJcdQlK4/iIt39gsgz7FIySkEAg8P4kgMIwLkBOmHeHq7KF2VLqpG60g5Ult5/69Uq66JRGbSSj2t9rPOX24JIAHSV7dfZ2/77sXI+PlbsNskQc5IpDQ71VXjXE33ro+IH5FIJBIgCUM5ilV+nKuZte5wtJfjHi7+Nm+PZ0jqA1W1Rupa46z/7/JT+vfrbdNzgXSu066SjnIME8K26Ogkeq6zTmkwBM+4349GQQ2F2f8ytUz7/Wns/p7mLrgsCedNtkHW8rylXBZyGmbQPQNiMQMCR2AdsFStCJ43YFGmz+M8lVGKqMzYyPnMRMpiRYmLI0XhBXEqHvo/2mv72ITaPWVPseUBpmUBhvvyP8////KdffuqN5OEpkBGyBEOK/84zqPUZumW7hASh7FgsyIMRiI9/v8vraTSJocI6UhtlWOkS5Cn9L/uuDXdTolFbsDqpf8Uu3u6FTYF5LPQCZtjU/JKTUqOGyLbrVklHWl8qVaP7/nhFQ8h40Yto52g0LAAmNW0rHveB5AUdxs96EE7izaABb7395p04/v9pD/WBLAgnjNSbO/VQpJSGk8ACkBb2kdpOAQHKlzOftEO61pNoAuDEnnU7lyoPP+1/GVP9YUszIMsByMprJnvmhhkVChkNAJrw+4KvZL/mystqHtVQGTMka7TyZ8/M9nZ5VkMvdcJHEGSPSJXYonsaoncybNVoq/wfM5S+uS1FOc44YYtLKE5IM7/kp1G0ioTb67T7rlBDSyARSWgDJd/4i98OfvpKc61E9RaKlLSxjK2sZbn/9nvWx3wRmqE/N9aG30nFtQSiayl2IyfxsXM/39T03Yw7z0i7FdKRaumwmYoVO46zv9DaCdgRRAgbYJLOsSA+8H3D2Y2AUMqYWnnLsTKLlqrbdRZrUp3lf2naSnV/LXmZuf2nVyvMCM4z3XX7qyhNTM0u6L1WVd07nIrKKWyMOvSNEqT9pzKErZhgUtgIFTYQgfe1430WzMSMCfttSwV3wD//96AO1P5wa4NsE82K6KEWpt02sNhJyFMqwUe4Pn+L3b8z9BdWzDdtTfJLyqOPIznWxvRhfdrNTdBcKaGNY177eA/mks7l+zPK4Kq8iMj7eEeUYGFQSGBtlWnK1SNke0LkLjEk2jN+XA1L7QcrBVwoAEJQpUnUEL7RT9clVpiwRg8YKf2bK963j0Q4OOjdC4TkHGiK2urts590kncj6xy9T+nJd3zf2+rjTKBbJW6SjeCaZLXmjunVnQsFQfujZSu9J1FYR3BAMru2JlZMH7vsoyuM7Mh3ZFKpYvT8KDZDvOwC/tG99ElyFySfmlj7+WEDQ0PYNywLyT/a6nS1Z6dPZd2Lm24TeCNwg5uYPqHhkbWlmx0JaNTSasow8PvnUhJl1lqZQoTIYFh3IAFTF0IYCidTv5RVpnSpfkANtv76+n/VxRINEY7UBT7nn7T73g/Sn18ciTbieW4X8t1DDBcA7tpuw1//uue7Oecd5ZvCCGEQGt12hgjdwDVQ+YnCNtWmSpWaLf1SeQSUnOaON+wSE37f2whyTYH/5cZX6csybKh65ss/aow+dORA+ypJx84hhiwRdrd27ehfh3JeQtNM58nocSAU53ikrL2DNW+76yVZF3WdzaidAFCgN4oZRF/+v+XDVZOKeO9kTiO/5F/siSnvWRqDY4AtyR/0mpVwE2odHx//on91v+1UCu37b0cRiBTmM85/6FNfBWbv5cmDLUcUokd27kKko6/XwqbbzL9mieJZA+T/CtYdscYQ7KlXhB/sbYfDNQkc9rz7XWyLNQ3++p/Y5j/k26S3W66b/8XRERERcTL5WibtOCHTO1bZ12yxT93QQhsUgyoTHkzYhPuxabfOuVImyZ5C7YkCxLAhzSa2yn/Gv78/2etbU+1daby+S4ECFESdve+beztm4B2e1K7MxBCQIKAtt39v3d3dR1qqfe93ljSlxVCWCFgm9HQ/8d+PcWM2tvK5pydSflefkJwAdNsdxuqHSk4Y90zhCSG7QzHwTPtZxnT0p63On4ykhDIOer1gai/OIY/+/9jV21vTbfv1fAbYPgEBphog7sNX/vqNO7r5VPvNTYWQoifEKTZNPbMzFqJzSr2IJsNIVQFW9b3jEYC27h1V+y3zwKkzJx5Ghz3++zu7WHPII+xT///2OpumjTNe1lAQHR/rsIwP7ztNUyrc8b25PJMqtYS7ycBDaJjNZZV7mb/PFVheERARJMDgmNz9LRfrAzHS5fkR8stBkFZP8e+amln+zYCTq55pYIICqXz6UrS+xH4r5jT0jE44/2l1eemYrh92bv/x4Spw7lznlsJbZr2n7DpdRT8f6j233HGdjLx+OVvhOiCS6lqCNZiaFrsP/d8nKKKAFEXdNLNwi6iatU9O81s/i6yJtcCSAswfpGV9d+kf5HJS7o6uxNOYwwYH7IsGZXaapg6Tp38rWdqhPiEsH/xHNxt/JC56M87cEv7f8WQ0tCVGpI3E1yGav+PNM5l1OH/i80UkhDg9pwOj9aXYerPNiRb3S7/J94zvjiEEMLd0p1GY+qhdmo3jomIWB4+y2D8Z+z334uCNYB6P+wFKGr9CajjzHt5P/ba/0tW+3qbdnvOBg0in5/DMCBq8GWvLWE4OvyTax8r4CR3W+H9aWw59Du4CZaD2iSvlKPi6H3sp/8HAtLG2rwXVgdQYZmdna+95mcSOusdMKTUsx30ppkt2tFIpPs19tqklf5znbkILMtHkvbaqIiAvNsf0/75r72/VptEQEBG4JQuJMdYqnbYdkmz7mkS7kDkF/mikG4bvvqXvabbP3er62AQPyEE7XgBOxaH7Gffcwvd3drWuxVCfiQRAXHyn0ndYqn/49TOS91rJiy72uOWAAO/nxIk62Xra4VZs0NDDF7SSNfMBfllMKb2I/212jgQkLFELo+JOYUxs6nt9oeHbBEBBRxR7FmIzv++EyCV5A6rWZJVGqTCc3YWnn4s7dk1vdP0AAVEJUpwZI/LP8uY2dJr+78PBFyoEEMSuG7QMnOS0xawTXiRSLMldq/jG+7HXuthkm5PEm17dWYYviIgXXT/ZJOlFfZMsrdJ25nyfMYY+UUyKfdI8DxjaP1PZpNON2na/7eqgIiKCoippJ13buC/hQUytbWaBo3olR1sAOiKK+mgcYWxJMy5LojZ4rZt8uigc2tSjg36cx/+O/qsXZhKtO61oSMihlZLFIC/X4tIoILgmo4j4FPOcXtytu7xjaFxg/+JJzmNs67k1/Rl5xD132pRHOMtB8YRd8fAmdbLSfveeA1GsVM00a+acTAbntN3wRE/8ty/ay3odD7Ue83xg3aB8f2ACgdQK2OUu7rOz4DoBV8y5R8wPZgsXgJ1Bx2IEoFkNGmHa7rKKlHIimhuDCR4I7DaWRaWPCsm8zs/ICuJEeDMzmBnRQX/B4LnCSvPvQJ2KLe8wSqQ/kfUPyuT7lgSel0v/k3Dc7HWXZWNrQ/2HCfnM2OKXVW2FzflzWNym8dqsL/GonlUEzmakiAXUuZ5t5tHbbDMK/zvf6zCMm9OQ+J8iOzwRAXAKm9q5vhnQ/pgsWwZHriAdqZ97n9+fZ5s+Ce11mtLsqbicvaobT/WsykfuHAOXMQG+8sgibUkzvsLssxP3/7QyuvZZtwv05H3Tvz8m1cdoov5e85ewgf5AK1ly0i7ldq4eA05Ze22fztunPv2OfPl88fh1jq9tYGGav0c1q//fbiZAkhsAPv0cM7Ihs3b9QTTNT/8Wv9aJXLs59E49kcR2/GPxII6vwhN+g0hZD/0r38vnysJrNF+mb/89ryYLnO+bTC6DlMWX8auvEralsLVcGCZ9vkj/l3vNwtGxxG+Zu9D3OZp1LfPSWNV+6tHU3Y57nbtHgbH/PcvXW0LP/9Qm3V6KOlglQijOQJGSpL07xf/LO3yDPeWY4A6BsvvgNIrX4l1PZ5fvS5TQRpqCKZtZjexeap14wjFuO1U/8j7l1EHG2RSkykB4FBmikgsI1AYkkbFavWX3KEg2MPqpFMRB2Xiabkuge1lNXvXx6sN0yRu15bZMNWK+F9HHZIsOH/YuoifvfX4EwgxDSnHrrsoJrkJSUhSBsTADgrZRGUAqM2dQHSBsoIEuaFByZSymzQygn3ql2lEWsYp9EWE4OzudPYXPMAU2cAGMFBHq5xxuHPwnWZkbnXfENE5TyqUyjTR8N7pHVfaU5lXIgGDYk7Pvh2FdMh3H/UPJzx8oQwpB9rf20Ypkp9Iw2FE5wkIauI3DJ4Jr4sZHPIN9J6apgDmgEk9xUABG2+4p9I39hB1GAdymuyiylEnXD0LtTcxIgcplsEYZDzvUrgveEPpgZLzSwq0o+O7H71m+JqRplnN+yRaMTgmCn+tnBP5z0iQiQTAfhG17mDVL1lhG2oQLMHQgGIdx6JJNBFR2JHy9IZaYdIroOFcfjDflc4mrL16kEb5r99rjVVRuS+N+6i9iSdFyAM/Yy6Qx558TBTheddn5r2V+vUgHuw+OBvazBdYouYkeIaHL+Ek0JL95qSHEOmQqQR5sGXKOwVCMFPl2ccXFXCmbm2Ahcp0pScNb7YmJ427jLQfbqcyj7XVmTj/5Zfdd0a7RgN5yI/r7LMEzD9F8m4pQvEJjeaI4h3MVRSHMjF/TKNPgqX+cp5TXF0fYh+Zuu04OE+BqUOgcbHaZEtW0S3vPRXHzpxxAKSOVlQvbuPFJWaGO9eDSGhTeIHjy/Ty7kCB8PmbSfb0IkIbzO1wtzWUMi6luRFFQflVaAP/yF57LpwpNkEEGFAAHZZNtpZpOCG7je9wMGWnbz+8nPe5oRG+8KgghmU7pBE02yVQ4Sqjbd9xTel6Yet72J+XLUNbMrmkGsNP36zY7cb2LXTduVC66fRtbn8JKl/Eq4+rq3N8hD/LEJTaAGtQHryMDvGTyobRutUQ3+sXQYPfaiW/d6ZrmGVMJD9EOk67lCQ65iSDU1LdICwIxCCEVFFpaxZdcllNtkAZ3vZszBCzHP0NlKwyp7voEoOqA0AEHilTE8kS2G1+a4Z4/Ax/Pwt4SHK3g7QoSaPdj5dUIVT4kCJIHdnM5mKsD47yXqL2Lpt6l12tvd70Y4/dwGY3er/AEHfie8wqpzVxX+sGBV7bDjlzxM+LCv1uddcUxzarv+nKtdYPDmsf16I3qNjP3a8/8MxpupVL/hRuEY5av4fL9TXB9q3vKxd903/gy6zrjwY7wjHY/tANh27+C4PFPZjrOM7wRdbPkBvt9sHdSjgYokmrCGY9xQKuO6PzX+i/wa8XbAk3ZDmVZI2RtYwY7PuufCHybRzWPyoIG32xEXw5P6wN8juwGJsfdujlxY7qF9F4gW7j/j59F0bqrHJH1BDsxbNcFPoSy5XrUEVRl3JrVFj88Pdrw1Hulu7LrTEAWO4gjsW8ni63EofYbrlyC6EfqVPWcm3xfZwxLmwdi+7KMqhC7AIo9tAZvRm5DpYcDvM0qK5rVvPHRv41gE3+4ZbAhn75I+pt1wjrwSS06yqow6HWoxu61UP3VJ6YP6mVt0wogSj4cMsv2o2z5Vf88O7dj7QOc4+18u8lc3fXypnjBziGb6N9/I6bII10IFOziIxnjQm04fLuMF5uS4aB39ap8/L+kYOr67//pxVtubID2QbvAV5+4yfO0M6DAMFKlVUcY0vmILiGomkt+cIPqCU8HxhLS6jWXjbAQlW57HyYBsyet17UFwuO3lHx7COaB2rAxERVXRD4ZCYSfhOa5wmFcJEOxW5fx2XGnkEjck1oLLSoom0K54AAam8lWFTiWjz6USABJPfTE3WJQg/ghUGYHOPWt7q9U9fbZYKKPpjIBjaTdZFOKxH8dNDT5ps+EW+rLIRLVsGfp9uvfdMZkZtzzWz9B5CxJO3pqOs51EAKV+eShwFu1d2NeUsxrcjU5jJjtsyUl6XqaExKuBKljV0hAKCtlEgBoWaCfFociIiV6wUaWE0aWE9pp/qoGoxz92tFAAMu9CYIehMnVKx009TNeYy7RznQar/0b/Xs382+k2thgOf2aDPowvf+9md4/s/zJ3SF1rns4DLg31THbw9bVhS49WV19Lwm1V/sKJorSDsO6CRteFPn/Whs7B7HgyFOoxXAY+cKGz98x+hwQpYC3zQYkHiRnyNn8CWNDaqgqgX2D08o0vv0tCfm/tpUHfbvPILKRtQRKu/1JYtE5yEB+DWUf0VDZJLZlGzi218bEnjr5liqIiqYqnWbWlGGDLedEquDhrt+qxqYak/J9pWr9TTGLZ3yQ6wfOcRVHxIp4UubHqh1S3RJnIut48hU8Kpv208uLLjkeKGjKI4iAhzBoXwyhRoK0DWL4h0s+sPN6jp4d7HCnJ/1v+DzwMjNMPjIR6z63cNFRVFWvDwbX19JRrL8Uy+NMg4IPrRScQCTGuS16qJQXXpxy13fq/kAFMhnUpHAsudTiX+lM6VN9pziijpNTEhO359CSr0mNfXLmmQpykQahtTWF+a1sI/j4qCaUDuNRNUFVXiDip13QgBRjclmFIVqZ+WjCKEhPF9uF7L7sCnwtMbBzcI6DYIWfrit+on6Z+uhim6E2gOzAHzg3w/TweiDBJtQcxzU1q+yyopQis+UfxrCR9NRFkRDtzxUCUXZ0Uh8nxAKk/4cgKC2AD0jFC3CU4Vn8Kk50qHDBQ0kbWstsi8I5r4uVBuYJm2JidiKDRuWIlY8Yo02oUVVQzci8FL0xDIUNZXMouPS4gKqorqUh22jQr580WtXcPKIhovnGSZSY29+ZdIdU4PGIpsXPCEGJtAYdkGqT+kqGDxXL0TkX8M1/FXZ4yQThFV11Z5LI57gHAtDbebFdOxvA/quYFGpTeIJeNBdwFzcJPw7f/9L6Z/KPQNwRYgx1u8lrh0FBfZA8Nl1q0yZoJEbvXv1Z3jda2WiDHxUq7vmkXPlL0ZuREw3smGEIq1xsKKNigmrSRSvc0g8Pn0V1UlMSBpxFyKLrOx0hJS8QJ4G10YhVnNiTsOrOApQlToGYbswpvkSezceYOMarXyIzRnWCmAzBUt19i7K57pFt4TO0fXDcYHH3Y9VTEYEOxYA5Qdg4XP1tq+ckIrjLEvnN0zsFf66OELP4K6B3DAkJgYd2Jlaq9DvboT5J7SVOA0PKuh+CO/DavrdOYt1WxdqLyweDy9pY6NuAKS05HUjoEk9+csrwQ0ux4fJWrpb4wk2L/4mUZbiry7ltiI6DKlcJO0jBhqCOTb+sBQT75OYnaVsvxr8jne7mfNa6nAokkOuzt/6K9RImk3TJsMd/CKSlXeUXBG8JvUu7oJk3eyW97iAG+ihJO43gsAQCqYSkbZzEjmV1MPHXOQCxOg0oJsvKXQFm5vgGYPdH55N6qORRyioKSkz99Z+F8CgOS00bIziaeL22f5sTqFBwjU1/QltrB+xfbRzlWR+WHJzpS7v/bpx3VK7fHdlEREuVvC02QaVfrVH861MubJ/sSxwabeVMYW5VZfKWMP/96fv2Kjvvt8af9N+PdQPCEAkJhL+OBQShV3eEwhoqJ3cLNVoGrQhlA/SSOjWT2tW18lXntTIDh7d5P9ThvE2I9iBQKhbgGSTWhyDeO8yNatAFdyenbojq9/9SmjbSE5D5TgrU1Cg2XEUD3Ts1I03yxhygxqyKYeuwZuJoUrrrBM36817MyKjr6RdlQtoCgdLFvvXCdP7VQ9za+OYj0c3KRt+kSCfhbutKnXJ6DIpewiU2xzITU15b6GNfNj2USdAs91EM4J1Lcn33q8ejL6k0ZqUfOSBOsUs8nv45P76LWXUquVMY7J8J25ydmkelQZhs+tmmhc+qOYJwDL8wtC8Pnwszl3BXrSI9M2+rdAGy9j48W+wMp50yo1IUPYNhFPg56ZRoiUgHn+2HETjJqBPw/rJHPoU2E7FpnWy4LoscpUFyXGwsZKIfS5ZRV570QuMJa3At06pLzH26USUTz7j/2uhssjHWtHG2vEkwJQ3dU74MWC7PBzBR3MVsUbbsSWfGemxbxCL7j9yry37qXfkBPrwENTQ69xBoIFMxmuEbvvxz9Z1P2rJjAIH08m/g7imKzq6E7uIe4f2TCLKgQS9Yzy2PC0fAeggwHUxNwfFG//ShDcjfNrnxGKcPk8y7CjtPSkNvLVR9wx047a6M46b8+VT+bcAjmPuNKPu0BumWZRxXSr1Da9aiUw961t+Ojtq7lVKo52KM8uNa40qb9aZGnpzF0VZDaynSZYTHs2Qzq2SmYSIRWWYJnrw/q6xJWzvNTnWeulkg0ZTeh3IaDm69h3BjH3qObv79Cr65+ogsmiJgCDUpW3mKZ/6J2Rpwqe/PJZwyIlI2EYYbTksEgoSdMRG78jWz+GBkwAthNRxaLgWSPrhdmM+OIKurIzkcX6qOYAECia8qbsxr73tU+qXNW6Z6jDfgqXOZ9/x9sREcCH+1KDOUeO1QV6faDsxXAXLadD0Yry+58dtGrd7BVJaU1O+t4v37lJMXdw8ieov1SW4dJkD8Oz0gyAlx/2p/97GpG3eMjbIuvME3ls+q7pcQc6bOKnBCu+1br88eiIMnOgFEnmgPvPhe2xOnv2gZu286kZz7b2/HsTAk5u+AL+J37YeaeOmN79HrQe0N9HNtzBnaeJ6iC1ya7JQMD6SP7dfE/u66ymsUFp6ekjvTcPDp8cW/IYA4lMCxlp4zh40Bms0xEuF4lijod7BWg8qvey/cQYEyXVr6Iypw3vNwqpcdluTGMnWgd1xCMvguX0YnseG9H2y35CpQpJRGkbVSWa4qxYWz8n2sXIdlYg+aZy9J8C0AICBQMR/lXnolD2yQBDgPE3LUv9BnjPRDoiWFA9fg5OFlqqg8xYub4Qnmf7hbRyIkKTGTJp1liahtEYBzszUOSRWShKC8t9sXpSUnCn4jRorlGloFyy6ryHOe3F79hdfPrZe9fVx+QDervLtp+/ILoVgMZPQtEseBjw75fLxsAIBCpJ7dggpjlcMp78EsuvfLhq7KHgB6fx57v+zLtvUE8hNCOef51w2l3A7Ei3WrWkBAqeNk+9uiSj4mfiPTPQYwysMVhl8NWzDS8SVetlU0AKDCSpmda3UAt1SB+HXqRJQrfLdxolENy8M1hv8ztjVNmpGZWu69j/kdYAUMxktTZmOkqYc1h9t5DDMsi9pyhoRPNZdDvDfTDr80kmwhEazHzZPivMvDbRUriawFNhJ7Jc4Tq0wR0lgvkzgamDEXHF2lRR83rrBhsMwwmA6vWsKbdT34TDkGEOhUMK6VCymnOlhIwXi05k90WSKcdP7ouitz1lPpGh/bEojQKx81/Jc3jEV18kaBrLy0Jn0/YJ0E/EgVCojCAU8IRViBOEm606Ij3m2OQ+FoFd93j9abO+DpHkGizg3gz1Q/O+JZGJha/Lz1orpY5hHP1wLiVOUPnAVZ3WXcXPO9VAZt1ERLn+052BgNSxEpFvDOh0TNxVbrNiC5gSCCMEQtGS8Jl5mKCN1h20bJW5O+tJUDbgqUUkt9XALofdXBO6kZc2oEAC9mjjjbxShZA24jRQOhCkbAmsHqo1R7INumPxWAbLL8Q3UMrsJDaXG9unOG0Of5d5ed3Xiy0PjbmySZi3KBSmBOaPno5BPLyJ3uw8nt4VD6g9X0seSHJO8toDXjMmdyfsH8zcQXbNp7m9vDLDb3DmJHAYvLopiwpM6Bslve6JKDAyYX4Cqu0HgcsJLKSB6MUNwvkWMz8vduqRKeWKXYHOm2RRfIsBKhMRZg8gCMA7Ao3w7Z1FE4FXlYdikaffMppLUothqbQrzKp2aID7a7zrYEvJU1MG4Wdi6nmd+AtRAtDhXxtxj5N4KoxDVSvEgUwf/DP8UDErEyQ/PZkfrftLgqHYV9ytLhbSIkMxqpeoFN6JVKws3LS4Nkn4On59idp5560jzg9M2qQTkbrM5ByZE6ewwNmg9fGPf/bOJ2BY/IapCt5Y/sWCwHc3vv6Qveo+zrhzEOtsKsBGUKvOWeTfLnCkGGTtiraEutOGmVrA1Mi3APoP0YGIC4fGYHaQHOg/Vn8bwiCTjLTEHbUERYraEtcp2o4r+gZdSdJ2gEN4YUKKYepxdfrF1CP69BxEdKaMjmGkGzEwKt+675/GjKAHLOwk1SOj21LM8sFCq3IaZ339CANVGUtHvJAa0jYF+LVYOEHnlrRxoAOkbE3j0R/l3EKJvb3EvJkKFXfOrvSqPx126HBCEqvpbVSufuihEafpmP+eZNXDvUfy4JGEC+BSsqkR7IaxrsTHVKlILXKgMvrR7g5DYFpamtmaOu8ckVEB/39fP8Xbxf0uk7/7bGr/MXL57xmosCBd72s2sA4Kc0DD9KhdlgCny3aeltjCBj3TqXEpHNy1Rltpw49KnSMm3s34ZdWylt3quzp+7oQHiAIrJ7QDCO5aFhxw4VsBFh13nZfcWN8yTeFnXC685j0sBLl7yH5d3ZMa0bBlWj6W5EPWOZFEE2bb4PKmsKmP/8qHeBRHs2VWzL9sdzMTttk1Ez8h8IlJ4aYQhmkytZkxQAPU+B5cJ8LLbEhdgFbqiSC1e0Fhurm7xs7OExENgVa3SYPY4KLvbvzwXmlSjrYFcpZhXFFJB4yShvzy1gnWBf7D0MJd0Uie7wuUMurGJGGYCbOXksjvf5qSdVUd/tAI5Kf4JqgHr7+Dxd7Xgx1viA9hZIAv3GRs9Ieha87vYkCVaMSty4VEJl/oFwzyFBGmvGGyU3nKOUMXAEA3R8nxgdpDbA3y+AqR/KWVRs3/LLEb1MsQWQtbGdw3e0RhOGzSiiygBX7yxSDvKudG68vEXQ+qi5Likp8ZakwvqrfvmA15lt8pBKeF3XxZxWVFz0cLSlibaKI4fNoLNPPM93mk6FaXmu/Hq0ExKH3ZsYP6JTzTp99gAci4BlTr2QEnoiyoHtdiiRgNeK+5uqWklyPAKE6L1f9bwuDwnMatztHTJ5KV5V/WH0bMD2hj3ZWsf80GrNKMprhoRanh+4chQjJao1dkqhG9tgySUqE/lZmhr0mdFBxxyImH9ITtL9LELoR+/pkJFQULEBHTCr7/BFnvTHY7WaKa6HypKYXcsuXWgzdZAa5pg0yCthtIucuJlMMONWfcL2BBCJm1+YoFmp528RAoxw9N/xUktI9TQCAyFocp163Y2+losM/qfH2IJk8SlJSetk4PPMrX6B21pXApCKybi8uvIXckrz0NnOgeBIFZHYhfX9Vj3C0a6gaL5O1PdHY1Wn1ETjl9cD6eS9K0auc42Zh13thapJOiK8IwGsf0e3skHV7P5kid8Oy3H8zlp1GVMlow+IMxrOPxGHIe3Q63HKV+1m2FbRf4NyKN5RWHejZT4eHnP69ljvpehL1bsgST2KIOm02+Q3FaRIlBPEnu+aW54GyOlOWFDQ1j4pZaVqYhqHkks0xH4/KVdMrMqM9Bgo0xe7Eh5rgk3DJ8ybuaRsqJtM58kOwBe6OR74KDnfxS1ghHCiUMqAENENHjMODa9aF6fBZ7JSbEUTkSQdLVjrR3PJx5S9+m0z0vqtUi/zp16wqvIifXNfQrm1NZd7ZRBJ9hbUwOz2sf78bKXQxmawhKIJYLfwOlFyyiT/wZQYjcIkIEQ8csZRSwtzo4lb6y3pdjHhXSBpxBK6mPt41/tkO6ASzMfwcO/jfhA+bjF5uTHlBUs6IyL//xx9P6PEHN576gQUS1qBNvHGts3GY3CAhZxgYWKLd+OMIjAqKS1m7S0WTCy22JztdyOTmGdbymSE7eLPi1ofGMNR0pTD7/bRhvZIxnZbtreUeu7kWN+oFWL5skboMKe5quFNAgLWMQFFrK6SORhEGN3KgTwxlTmIntZNYxCXzRVCTs9xhrszt8iiVmY/c/XEwj3fR4EnHsrT3wMoepYWu3V8oLOKeyIY1VquUxHrKvbVGlC6x2Xd9v5q8ZQ9UJokhyhEV90Pru9HgfQZa1lDvIC4R9Wz7mohKdAMBMZZ4cRfUJwtkSMHll3n2Sds2CZJCM9G6nzivhGjUWJZ50sjANE+a2KOk/FgN1Ol4qDnGh/IqZiOHdk882uWuy6uIpCAVBmK8nmtWy/P1GDWdbu36mp6Mmj4jDvez0RAWsZjwMMXFuNWNKZi15MzaKXAILY70biD1YMDhphXgozssKNpyUygEfCMIDPSF5865bCeVsNHvoMT8tkCq0HV6+Y+kGpY5QKkSxrkQ48WtfN2nH0ECohxj9w05eI2uJRMC8Bl2Pw3kqRPay8NWmHfRhq/truLk8r8Pnim0Zw6U0jXvUKsGXm+XWWHrqe6c+eV5CNG5fXOXroutAfFjvU0JufNFmwY/sDO4PF+74pOZp1jeyeVgnRcnYgnZwYR2RhckZnAw8tyFnp15w3LKHVISdsF2jVyY8eZgVxqttZDuv1t767I6t/lad/P3O+TBXd8AAOsWGI97pFZCRzBTjr/6Dtx+1hh6H2zk1C2Fy1ClKA/Lf4GMCZ6uoVwfFGU3od7oYQQPCmbxZ25PcvEbGJ8ePLVhcaKG5KN8ZEAEQZqQNjH5anN4huSoZEw2c6R52y6C2taGZ4DOhDlI0boQYLkHUwLCFMXm66SwS/8v/yz4+pjN8npcUGUZ44VwVsmmF4gW6MhFnA2SFesNtkeDqLfgNSYQzhTERrdN1Nkdk1pJVgSEDmrdUaUrB+L4qxftnnYfv8N8z+inB3gQrYELGqdrekpgAJNngYCEfd0oxt3jsxfCQ6/heJNj6h+y5snoZ9vJJQEd5xKRpwpxGPhJo52g0c7Vu5yXsKT5KrjosAeobHkH1PbBWzIdEmB7CPmbEeGnovL45jvu+9GBONNOZ8qwELsD6R30C0ziqvIM8PbBBr8GTjOSrhnYiEarFxhpovmIDW76o1BTsKsTtCsc46jP/0ya3t+rwQbr1TQ1egbRsNYM3AfBbU+f2yKkIbuontXaJ8fwno61rJnqvN9+64ekV0tkpsxr7o6n4ox2mPILrY19QCBSDWUqWILUmt441usPDi9MTG9Hy2QM5WJNZDlOQk29j2NY/VZRD5uJQC9Ep6/yF+xOK2JnfFL3670UeTiLEG8QG+ETnt6Uc6H7Bj2/Jv3Ft9QgwaTogaF5JpMnW6woOujT/sIEmqMWEsdeEdWXMH+Qqa2Zie7VzXZ3Q3jEz9jqYlL01KmTpfqFoal5y4+ELD0rSv6zi72rpbW774LE+TbGp3qkiwC/GaXuDWzufz+q5ic+hyooRQXVgP+LO1h/vZlHaitBPxeq0wWSZMGpBw2t7WmJqowseUCDd7zdhTdlkKomJEKcpXaf3tBGlDBwmhYjxqcrQaU54SYAs0x4oWYJUkKXfbmnlnGqPhPgPHodq9hZXAOpaXkaoCzNr3ozrXisRRuPE4ru37Z0vmdqVOtYPb98hRojYumqbojIMvYUpbbvKL4gouxMd4l+993mNf0v2f1mfZPUDTir4GXxBLE9VCgual1WdSLzoXEa6MDMfoAfeXo1VzJMfEZTBMiCRrkf/2Ue/KwOZWUoXqkVEYHeMdZkVMoW5UOs0pHi/VTVvCYhzMAEMiqD+V8pNMyyNpDkvcrxbGR9pzixohSwMTHS9hH2rTkuHhJmWRMfCuvhGIoeWtLL1pClzltIXSZrg5hqo3ltRxnDjpl1BB82AzOtKyrV77VUiiHr+O8qZG+CRWYDxvknRVMF56o80L/5fdqXkxpBX6OzvQqeiYC5dyo5k5At+bLbCTbLgpQhywfYw6tG1nOUvj12n6JrwmUyqId/FcISKWcBD71zeE5RLdLLo2/pB+WTzui2wMdtb9wFX58Wcrv211QkUmLYSbzNzNux6lvT1YnmRE0tsXSpejdhlxVGBnpy6jmHjX1IxZ1xqv0DR7hbiyrkVWna0CjbLt+4i4iS7AuJgOeXf2i2g+V/vTtpisIFMNC7FeRAfEoDXR/9iyQHGfPMEUTBq0JgAoDQWNUpeFr3ntC5HDoA2WRIDTFSiWGWqL9lpRzoVG2KZo+vvrJRymx4gLlgX+ivJEssjA4HixYQMbfs+LvosCjiOSqTZtoaDZLWdxv74JfbwWKGkEa2MqzLLi70ydoinJm0gyMYYKiZtROT+3rECsd6976T8/inMgDdoGYUFAbtsybWtfUgqpESZwIRqUi2yc8nndWhTh9epnTb3l+UUrq+PVve6OTD/IDBRAbPKRAhZ7DyM8pzj7Deu5Fqdc0zIyMiYpJtdHIOY5Clmf2Ct2j8WXaXsR7EMIm1y27r2FBgRAywDHm1cyME7NlQpptfMVyyVq6eQI5beu/WfKzATXVHtTeZP3/9JWrUbvJuJNjRRCleXsuHQsBc/QmJczj/NhATqWSZ0nJbcwQnmJt5AHpMUZlnP58KMxh3SGwb+BBXoMY2EcuDub/3yNQczcDfufdzigGxqvw+7kxfxcvWuP30TboVFQPeF6EO8rCtar+eho8o1+zb6/bXRIAd+/Vhnl9lg4t0c7+OfBQrHcvJYikuMnZ/G/Wicq1l3CB1dEaXLDag7RyjmsjMVsiVmdgjfqjaso3yYALYoJ+CuzzFyO/oQln/vzrtHz0D715tFS/IA5vDD6zf85YaVOaiMfhq75xgLarRo2DLMk4doAkV1wM8T+c1UykZF46f0RycJhPutlKWQ8BT4t4n9BiY7ToUSbTOVOXXj62k3rP5edxbXELRaVluphACVYG7g+eb5//ogzjuQPZB5eRPcJfuG9dkqLEaJaJFtukNpsgyEf5FpPylSPoRbqUXRY3K/Hgqk5nhNsi80V7BpmoaeCQKDNrTX51hmCDq26yeU2UzQD3dawf0z1RmZsc1C/8Vbg2PIoByXJkSMnDp1pn+AkDU4cOHHg2gGLSF3qdeKjwWBQ4zCHKCW5uAQcftr7x58fUCmkHhIMBBeOIm8BR6XSi93wCvJyC8vXbUFJOqxHvhxgcm8N3YZK4vb6jm8A9ujLzXWpd/Outxup+h/XP3pQICZ0xthsiL1NqlHcuActIQdqiyuvEowZGK2IIHLpcNODl16eHLFsLklfHuw4J9sT1+UX08m2qyRFqcMGKi2N6+C0aXm3Gr6NHjG75nfsuJzlWXoxYitRfchW613hok7t7aCvwSkJvlvjF2A4KBm2cGMs/V4uXSnRBPeRl6rEfDJTrIVcIzVVRAsid1MWFWbscZcreLswgFqT5IqIVJkOTQI3AM+82j8FyH0TJivggbjGNlAXz5eZmBLGsdhNZOJ9xlRyjUbmtl9ex5qD6hzVrK8cJYDLmEPVpfD3VlrMB7dbw6rHbMcW8HZZWg5x0S1gyAzRNlmIndCFicAn66jV4hNP/g09dRAkW/RTf1biLOnI4TVOSAkwXmvq3luYcZ+DWFFkFP+DNXPqwolw+x17VVUDx9cYMXjQc74YYYiDjoy/V96cCfLfh43C9uKtw4wSDVqtU6fQ5U/4huZMVm53c92u233v86k76894weD7IHbFMat7FlyIs3SiyE3o979qiJMoH34Z7zIRBIyNXizJ3Ybjek8acZdMvSmLyOlZZ9v03kzrbEzx+YVaURqAO0AfnB2AiJH7ej3WXfyDZPLXDTWQhdv1hYZCPfHfVfeyOwRagqZmMJxepeanhIAVX0nbUOitkmQEQqddviieAIxxoMcagxm208HuoljTv7buugKXILJ/r4sWhZq5n88Kt6P5/Sce3o+20OrSwXnDD7mx7mpYu3h459M5STcHXR8Ewe6hVVz7jyFJpJe0Q9tLo+XmaIDT01MoRQNbR27ojVDMOjeuKwwk1CXd9fp65Ib9YKCfr9G+hXcpY50F4eej7ViMyyDxyTbz7tIbN4KlMjKDtzH5mge5SgQG5Wz6GQmmIWf/9BtpmSaE4TAkkEzK8/I8R+JIC+p/ykB69mblhTWnjBiB8amHyncmgOq706w0sA3lYuCzOlokI2en8xl7ar6kYjdeeVH1NXg1WTkfDAi2JglSS1G0XFh2t/OX9CNYgdMqPMsSpJkHE4B5+iIPsLGGzgF7LMKhoXZhvZZc8vfh3Kd0cQpGZEuCqVtiGd0cjx/nducWK9Tizs+tJusuFxlycbZapGIZZ0jv7vxABW1WPlCZvrGz0X6ySlQZ+pggfmDpfb0CVy0t657GZZOnbyTIayNfJRPkDgJcKwV0D2bhmqRSz5p+o/DQsnOzBtAmXtQyXLrBh5NOaXJ0J+8pN/dqnnWaJ68sYHKjbDWMn273UKLMVusLfhhtddxUM0wXqwnNX1o9PhznUzh0VjBwPqSzqXSzkRmQLL/vT9+/pZKAqcG505Wm2UrzW/2ra2L5/r3A1IvAYHPJW3Y/FL7JbPFZ8pX2bOhJaVuGTCRu2r0iwhdYajMLENu0akT3v5kC3bJ7+8PqSErpzW4YekTsY8rU3f6cGAgvpv5hGDttv06sl+3vf1be6TJynBhRBVrVw5AgjWBEUEhPA2228U4zGgi8/HJyTLNf3pKjH16qzQpeTVFrQJi+GIpT+q2Qrr8vkq8oNU5InNQGCgYyrGgq0ffCbgHiEVCF/m1u1/UT19m+2jZFXXd8nNNs0ZmRVr8NKaXRCJuDzf05vQsmnA8j9N70PNtDbWrh9toPpRiTHvNgYaYAPAjLWjlnaUSRGaGfgLE0p0qIz+RPQXsRF0EIdesMfvXhF9Y/rJFGnQLHrJrf7Y822w1ukXZGDPzW+rjtalKyPNhUpcf8vAmkw1yw9ZFPkOUtvW1v7m1fZfjufNu6ig/tPTjnXvFwtvFQlfTdxorIm1xQ11jpBMIT9ZecG9yl6WfXhnwJYQhBWpmevHVkoW/st2Tg2DB0UcbuQcpOyl4/T17YbmcMLkBlhbP5XGMgux7F1lzAtfxDGQ7D51f9Oj+/dgKvmDCyAJOqsiyV5+DiV/44J03OKV5enByBXy2XtnnU5Sodv4/Ef2zjOa8AVcu7kTzOmHGLEBeV4bLnyEiqsnHHG2URJSuAkwYR4FoDMtu2N1IKTAruoKEq2hKRcH7DIkKzHAC0A8DqZAZUIyugLT7tKJFhimOMx8a9L6KoLCdDAbio1ESLXd6h9YyE8Y2iPZVxCDbpRX67XwJzu3khNBSMSkldfjeTEiNTOQmJFoWvbkS7Ys6wk7UfhkpZru0w63EdmtNFLv69owrVXRkCrW3piR8wvg5yJSeWMMW8GjyMM0vEIbFvblQX3VhJxHrWoyLH/Q9YdjPh6fi6Y2xZT/yh3SLc0Lnk4FTk2d26jFlPG4udMPqNH/m0ZWfRCd/5RFwP1UYsa1HCk9j5Y7lhlyer8a4hmcB2dr4QitATNIESlEtbHYLjPjow53RXWJUr7cfgbZVzvaMIeoQbdBQ9LW6tQ3A6dQqk4S0ls6RsoHmCgWLEVyBlwYn4iI4SnWLGjZrYXLZKUTwCSaNAXwQLrCF8wBJn9pEERXX41sxLVLAMNKwjDmdN3IbhPHe27Az0ckbKaeeYJBOIRu2hicU54eradWpmibKYVuWtLG0U0fR44VVXsLYWnF+4WFOdOixT+qAEW7PczHk58FaBdXgJtz7cJ5HWrOmoAcFTF1UqXyQSBYN6AhqFP8AIMp9+OtJaVJjgxhEh8gErCBFMppqzOO09/ZueTzFyEIcb+XjhoX512N5vze33+Hf5B0Tn1ejJiYQnB4uP1qkugV2V3RLM9I5PORSAQ+hq76OIGPsXKmhhNHF5QHaOc5IFhqDY5ITowU9vL3tNDU1S0lKo31gy/k1b6GBL8H2efhjfRGm/3yl0kMfj0mQuQplqDIJ8FZqBz5W39mdg8pYp2/RlROdUtBLgaBO9juMl0CDNX7AQZ84JBGrQZ1NmsRkv3ypmwCZ235ENLPk8Ud2nSBdrNa+zjr/rXOs+nOUEUyDeGypwtWhs+BK6+VwtFjCdRDxEl1rEENbNOV6WJ8eMyYyg29K8mE+tAPMg179vvRN9xI2QmzW3qTVwCQegOBOWP/fn9ZLiBgttHFLNYf1I8+8bYVLEe9QPcvlR2JqhgomKCSkHz4rfWYUkPQ8GqfSorWlKuwTwZFK66opTGajcyjwbY3EpyxPzzAyCvDYG35csGGK1tm1+miWhvJ1EgwXMwxIYe9sXJJqKRGyfKkE0MvSQqZVxwt1usF6thv2wMostXsEM/KDJt3b6CA7g0TsfzvZqmoXBlx4iD+C+BnJta+FibL5sw3Se8ZJVkuEYFuxlBeLhXwX47kXtU3+cIgq9D2XTSafKcEZOsjVw/ajO6j6Lq3FYBsgMCZsjpzFhGOSHXXZVD7MN9n9gehhEU4B685IdvApyaVQrUg+5USEEkCcJCv4ZsgyASs9wwSKqIGeanfpFy+0nCv2Bs99K2j05IKFKGC4VeiZBvrdgDEnCVglmZVEOC3OPQIdOtcCVplSegUKMiecAXEzh85v4s7wt+6Ndjdv67TqJBvKx3/KAiVea236uLjrTR7wCqYFFTGpyRy4FhSACPdhHC6oWWMoOFHOExNm5dhCCfO+MvDKsVT3DFUN8PBVpvdKlCtnF2acDzLKjTN8UhGqaA38Va9Qw6EKn40HcXKG3C7KDf+lfv8kR6n5gqT15xaLjtixtKzSXeWST4NwMVtEJOJ02nY36j10uEO21iguq7sSNhOKHXWBC1ZoEN0xcWrKIzJ3fSGcNiJlmbkjRSIAJCUhLFRiNWAw5HdHeSCv9bltQ+LwtVtZPGAYFCXHe8eagfPZMftqfHePn+OWy0ul10HjGeET7gU+eYSoldLw7bD47JpzuKTzSsNb/fG63BTOvYcgK4ldSfEiR2eTKwZOXpRDeeBAi12q3hXteEN0HfSevsevt05xJiVDLWz9V3jN6lkgJ3uhIK0mMU7YEH9fZ3gnhrUPaCuOM0NXBmBWAdtDpQDOxceO8+hqpbjXeS9aB9xD0X8UmzozC+PJo0io2v72EUhytFn+BRymmdKNpw0hGIWnIi14xDTY9SiuDqxuZL/eCvcvvawrLbSy8bllJVzJTlSLEr+3KHBVOjhiXhPNLeGTuVVsOcxaLRDKXlMmAH0i20/wAlH7Cuz9/CyXUAMQpvG01AFJcn8uXGwrNP2ZUpCDVAHnsBvz48txlgLy8uiRGH3wpVmD5v+Nh3R/UXTaboF6a3DRk79kbV2EELf4jSyB9QrSqfTZj5Vd4YOF7xfrOHDxPsl46ConTJ7Vv0S4E2xRa+tmAZach5yTw6ILWnWEdYRB02DPlkfL/7XM1QAWt3qZn7NgIzt5C9ont1cs0LLB44sVWvsYexBs7JNDkXXUUR2cDj9YLo4jlrtI08Xzqr5o3UW2BRUp+s2qL2F8TuNaBmiTh43elL7pjMC1cClTA6fyOLJYPTHexOBdxECgG+zcYXEOjNR+9pnQZOW/JfoPc/8335dPp6akZ3MIXWQv+KKE8fptIimbrK/xVZsT+mPz8L5ll3KEeMTw2m9xNeWGiVi5iW7zm55ZQyqm0lG23IGxYtp88IxYeTK/A0nxGT4twmfU9BRJ+iaMczIMViwNJZQX0ADIlw6e/8xTx8lDmi/vpj9DvGjPXF0by19K5q+Ghv9RMigbCAM+4MS7tQ18WotJi0C8dn0F+PuPz3BOPhWtEnxG+vLoW7T+zJK7mnWlP78nD003+SrtojzHYKwPRQs8jxc4XxVTHwt1rYjKtF2S/yeDa4HpkTWguf/nhBXxWWT6R2uYdr3vS50pH1dXH3hkZffPOAJtjBPuISRsNpxIBs+BPpIAX9vrv6EZUUS9Je+bUt9TvyzLDADjb8PzqKMrUzMJbJBAqQaG/4a+CeDlEw4Ryauhg7SrfiZyB1uyB2fjSvZwRWQUdlxsuJkISzKwZylkvuPfZDut8OnY/JJ6dguZmDiCLhXqhx3AIWY0XUMWYNxWq7MTO9yWpI8JBBYJdFQRKS11SgWWISoQckisR0ugT3wvEoPcYoLB8Aggc6bMgkOAPrk4EFjYhsa12rervz5Z+uUtqEogZE4Ch6L4ngaf/diR+ptEn+liUhnQbm2KbSLRpoapCbqyDRTg1lNpUpP76/AHifXLuSpbsI4L2iUF+dDQ5cg4ANBS5rhI1d5M+ZTjhteiA15bcWSkGS/XTB3S9jQO6bYzcJqMFO2KJF+4fWJWvsMs+GRHMiBAmef2qGFYwsbR/LUKU/yVWkjW8L2kCfD4JcctEbZ6G3RUB0YJYGICTKttHPgOjS8d1TGTg7a5itMmeHOxQ2CgWuQAb9lJUw9UNtbajP0wIJVuTFBhPnlzsgaC8Aq3MQIbpgpR6Cuc0aio6m0z/ibktMxcy1awRBnpKxmuvBLEdfw+sIYoymO2NzKp9bHfk8RLxbXQ10U/B2O5mf0pC3WaUxO6FUGKV41ee8QqrsvFFhZoqF6RPhQE46+BkVL7x/qPn9y+LWoyHICYTbNGcOvsJw70ShGUng+yFtcmlP734py4uj5BNUcjhr445RdJJ19hgTknABlpCrN/IyGljqnPD78tad9UKoulrfzp6ROvx7qg14Me5I2ffRpPYPmLDvYF7tZcPy6lflzxfQCw4Tw19aQyxNoHAQmL5k7BlyIwquG5UAoBQ7p4p/1MA2xaW37NmI0n5X6xWV/jnTyLiYYoQBC1cCA2KIuPpQWi+AimsMznr9HqM9YJh9XLVRiQAHpoWfKpXzTJ5SjCtr4pgUE8S/+X1f6dUvSCwvL7X46nHDJvNt8vbZkFJNUWzLJjT0x6EwvyJFnmpsRHSRtM/jZoNJuFG9VIAk1Be4ioKEjkHVwFoIzOElq7pluIthm0Qv9OVIRCEntvUFJ7h/EoBjsM9E3kUjXHSeTC1rP9m9CFB7G94TNCws3BLbJAFkYrCLarYXGydTRGl0badORyVZIQkdxRg7jmz7KpouBS3u96BowqFhX5i7oPwyovD277yqkz8/uE1JE0gjiPiXi8tL76CgFdWwP1IqJw/AGaVbLHbJZuHhmwIm5yW3w5tGDS/TGrnpolmFAbQOGxOpBm6QS5zty3IeblDLCWUt3w/u29xDZEUKXPZkoVdgJXwPOMudmSIcO3KRtDR4B+iCe70Eh3LuV/DJZiTCefkJ0IpMg4Zzvq1p7xbCz5CHmSJTZCTiAWQHNA1ECwmkLjLWRpcv3EJ9oSrtkVapslSs0u9sDP39M6ndNxYcPYTGbGA/nYNo3Ibw0GE9B3W2+LjikFsbRJJyIa/dFERQ6bZQn248jwxUUQAXkD5+wUyFnRJm1Mz1jnhhdjf8TZnGiFuYbFVLcZ6C7sKCqADcqKXTZuAJ1RCRTP48SuAjkRfaZYwtoHUmXc0WDeMg+7SDHnEh4W44n3eeQwxt9TE/ay6HQYPislnEDU+zMJjAnyHhRLQ9sAxxctL6EgAL1MQK13CVn0B6BuFaMYvJaXY5w/x2QAC+Z+CGYnfR+Z3sl1RgvROwMCABwG7bzHbeyI9rcrB3ZFVt1kcZr5N+bRf4AGhKYLaIy9ieUcn7iMb9m94nBZ430Tsb1QlhZAUE2yXZTO0IU2QYSJkHwLNyP0ot/uLWQqqSF/ZiLqCX5vQwGWxYn0fFnIW2AuRTRHgqnhs4GK9cZi2fjjAg6Xt3Mmm9izV8O0EWUKCtQkQ97LIAZLDYG1mgbcj7I/RED38VnStZ6V7D9bEJqXJDE3P1KUatgUiBjp4pAqddgkWOs4IidC+vNttnCGHOgSzUZH5NpoGFPf+yX+S1Tg/C0iAAXb7/u5atXMsBztbTKnFmb5gl7ZwqLlr/SVrDolmNMmEQoCeJC88hejmv+Qqs0BNl6a7NNBQ05hyhtgZlrBAGZ2BNUWJI8icIdyzWm+UDp6inteBxoF6kg79QZTKMhAFRu6uNLm8c52LbDV3NHJA2l8PjvTC76GizI0/qSA9dr+co/F95sEQneEeZz8DwGtjAZsSj71FFyK+KHVX8qDPD+eCEMw3z5jyNbu8DiXvtv2lKw7MH1DCeEwrVhXSnmNmseHsdLHAjJTZwPxqoQ+rCVnuyulAnRW/RFHYxp2ixUT01VnZjhGDkxfO5VZ9ev74ajHuLmmONuDRHBJuJE1yeGtPD1Pxk8ZJ9VMvqNLpR4C1LytIOITEQAY3pL9/VB4eszHb1W1h7nltEcXCQ6eQddgBxyoeYisuWH968KZAh+PWUSN7feJBqGRllNkLuck925bvpfeoKwhfSJHXiBnS6Cb44W0l9BHtOC2wCfBgbyedYOtTuh7fHv2b5uRdmTDmv7uz2gnXKvnqB92OUE20Ot+WnYmmvIk7W6HjjXPT+lwa7F+aHJ3RUEvngUtijz6qWGkZIW8+OMSQa0U6huTrd+WxiQ503JRPNYQFK42sxiseSmBuX10yDNX7snDi4HGyvAJTJFB6NLpkIVs1OAHKLw0pTNq7lF6kMeOshBLrH9vXEkg2w9/hdUrbpuNcHrwBaMgaNjyh3+qeEgb0UUvQ4STAVZx8o2WM7s+hMgweB3zFbKc3mn+r0Zbe4DZNdmfJfH0E9OqJ8CSgI9dZJ+yKpFKXZKczdU2sochJH9DtepYoc1sgTD+zQ5zma8wagd0cefdo0yeBocNWML4j0EqpR84JUUDEJhoJsYpyccXrPAoBgxyW7WAvsz2rwYRN2nhbMwWYc1QsQWiSh6ywZS0EyeWJ2TSia2Ev9u2NR9O+61QullbXNyiY3orLa04tUtNbzwnPyHIM5eiKElPEgg3338YYSY4EsyrFXuZ4bEKLR1APj92p4TTUEnJtG0ySuEmOcan7PdrQDodGakwNp5Q6MWRp6gRvfyLHV61BSwMRAvnsxpso3rS+LqGmikdBUkQyCRg5UpOePUJK07NGP6rj3Xf8rt6XC/O6acJ5n4rrqtAVB/5KHD4I0vU1Zw+M23vOpHfdwqRyUUtMsP18yY9f3mtkM0zNQj+RNuHolD3M7fRWE3myaeWGLwu39yRecIa8gMSo61RuWaBKe4fDvqP2lDwhokcMyZMs1HtIgcfofGEbbGvQC2q+2FA6M0wuRIJuZfxXnqUEqHkzLmTBHrtirTERARGcKFlbgrNUkRRT82JdzMZV4a1j3ms1OGvVUOAnqQoD1tFVBeMPvh0hGrugpDQ23ESMCtNMFZUWazyZ2rGxgsgx9YjoAIG94MFIUft88GS0kuYAEZCB6P5mNaxDEBsxqUOguk7NwBXnHD2e55VXvcj79MWyi/lNLWFdASo6xa2DXCkOYy/VOhzuYfiy8dfGvS+H1tzZQXNfb+A8vKM9Ai1I0mXjoeNW5ECPXqxLhn1Z0eRQeocvYDiiS+oJ0Wjdh7mkkLiVmIOBfyaw4ML3PDJqYsEJmZpU5+2q6jROKCFsZtgZV+3CYAWaLJVbRy8h5Yt/ciY75dFM09J5okwzPIey7n2FS6bWv8pNDeAsOE/YWeI867roILG7HUBF3MChbiumXUc7bkqyiR3Snj3IDOFPwQ3EDCWgX/iy4CB+HSzBLiThUitgCLRH/TLtaPBgNYdu6t00cB4/2UEoxiaHWcTpOxwLdjBpstVX+vJHIWhXeo4/IG5zEuzEbkZkA16QzBD5CkCnYFdZMkoEMs3ly9EtdpQRk0/UFkZmycRZ34iDm7Pm/gU2bYL0IgJWaT8rOiUcYu26HO1jCpwnncZWmfkdu9GdIo4V0lhALZcBzQqPAyyB8SCy4xzCUrC/TfarDMWmgCcRgEpHWC6pEyTvph2snrZCJtnqnR5XvOQoisHR7p0Y9YUcAGS2/aF8lK1X/JXjxyDmZuqHEn8Sic+kT0ewueKL3PkAeAB1eS9cWpKW0DozANbmaRsl2Xogd0mwItCFyP8Bavo/sY2ldP1ER4GV0BvThzMriOvsvoyWqxHuWUiT98F/BipP2xHSZM9Eg+XNR5pKExfPITGBwo6xeQKmJPUY0on3DqTysqvdBIKIkEhvoXlt7Hrxbw9CGjsMoxlYmV/rhs9rFN+0XAwYj6HprqbabcWmySDOYDgBJSkNzwV/1FoGNiptqSLGJi3w0YEVbGylwMHleDRjfH8n0iSDmIeBuwQ6glW7BQ4wtBBfrlpePGOYBaWH63OktvFB/usfqGnfDbMGYhGWjqIxWMwgZrRuu+093wQ3KVsHitUFqMqt4nbIjt06jU7CvMJFHEz1mg8lLErImbdkqVec6oM8nPZ91bj2qQRRbAQC4eNl4tm+40n0lfqiGOWvnuFLcyoOBkcC3xI8hJUAxCRKVgLEN1fJLU5+SlgNfKpBZy8wR5a/F7svH8qSzknChLBOTjFc8oASJENZQCI8BFeIfLydUOV0VVf4RTMIEYZ6P3orgbluHoCbst7YjKy7pJvsu1aUeW+tsqvg3WVpc81Om0SLtoa/NrNouO89C3XAD6cvZQiZCnwnSUWjQFk5TVsNWyGf4bkzJCpYKsJMm/n0gd75JZuS/a9b0Re8Jf6cXvi9xTpSIQ/BtMZIehpQmqqOgStjfgROEsTCTHmtSxTKGeil9Jsu6P5DpQqe5UrqNMvwL5TF6empBXU5SNDEVdl2/ma5CbMkXEIpHc40XYTmVp/zEt/zMnXZwCauiisSat6t0cDzLqvnqWOWhJPHAFaR85sqlrohYX4Crc/Ad6iZsqfvaq32YslUALLeoRcYuw2oS+kx+Pu4k4TYCVsEL5B0KshSRgEv6yQQyWRS5FYk5VFN8YxdLvAsjr3l+Q0cpnmLGiXf921HLcPxze8kKAYhkFQg40BTPAvDgnI+Q+iR8iX8lh6Wx6nnqES4Xu+EFQmnpalTDBwVL+oSCs5z6p2DUDW3A8dFjpBouSEWwrPo6ax0owNh5vhOmLxBroy/GZINwV/M6AYT2AY4UXgTsFMCNYgAU9sXiAoQVS+FSGFdReGAWyhEIb9XeglROIJ/25BBeP2GlkCCg0oeW7YIAZ5N6gdnzI5C49GP0aN0pormT2YngB0lWd8YDasTmgmkFAiKB203bafqYWMm9ccJVokcZDy4oROPVMKz7xLFuzUbxwK1Vk35wVscEnOrV6KMejx0UK07KnrBpzBrFzBqiVzSgvnL0fZqrWRKcFRTFbq1O+NjqJr1KTeGoWf36MK5epOwmSDo5oOu3Myk4lpckaBNyfa8U1vBqLK+xVKJu0rcOyrHiSyNiBbd1B7ELHaM37SN4DZq53XudLOEC2tyvW1vJG25I3PdVgjdlW7h/Cfg4VVSJKT4pXGU1JZDW67g+BIFmyZFJnFaK7I4IqFYgFHuuX288F5dZ3el2SxQ3jdaeRExWQzfdU0MT7b2RBhpwdQ7ySHhYikIsfj+vdmZ3EgTPNIjj4KJKy3baH0ETirM4rjDmh3GaVGGTsiWOTRiqXKTsGbfFlAoYI6Fz/ZPlp8iDppGY4ZKPil3bHKBd9D8bcgxbxwWxdT86o7UVkIt59el3YSNRNJQLdPM6ZXE7RtUGlzxcK0+oaOOzioSTwbhnU56zIsjc7DA/KL9PSFJhwU94TpP8ihvvAetOaW/Qm75IlPBeKeGMoFhPbRyTltGOnIYoe+JgFgBYEEZZL/OFLXun6GEjQhS+ejp6elK86jFJMawaNzGSg7KrjWg/UnkuiYAMYfmUM9v7c8Ayy+6F5G3Q+kVirAvgdAktDPF+Ao9T/LhRoKvgrcU0jsbpkiuOAWSJHpqNuS7Ptgwy7npR1VlD8B7qgyTWjwWv565/zrIFeB7E2v2nq+ZSAWcmqO34ddTcjNehB4lECVKGFUw+6lOhJRRXBGzampUjD243VPM11Jm7oVemeuOlXUdX5Gk8dfOqv1FhkySC7DsZUFa2NiIzVcAu3wgxACj3HNIb5L2cXAiqknKRwJ17JwaQQRqwkcYpjk1gAi84KN2dnu8RS4mqLiT9BD9SItogBWkGW/0f+Uy3hmFGyDTHEH4ihN6fNsZp3oz+NPSOcI9g0FAtbSk5EpSNGFkBbgqeVnJvK1cg0QE1IYnszhpV9On/S2K3EL2vo2XOxstE6IL6iUKpQeIEKBzGA8Juzio1nQxAZPzTa3Tlk2grGubwzB+7Nbeci3tDJJ7y+aQaBxrcFpQHCyI6rYD5cykULZCGvuoWQSvw+Xow+KfTPhalmYpnaCo6STj+Inftdiv6r5dgnHqMzqetCTg9DEHYtI1FVXxziVyfWTtcuZTlnBsooYLQNHM71JQOJQfyw0KuvEoMGjdQbZGPm6p6YzM3tZ09egIq3B9QpU8iBxzbov9U7KzcbuIQVz2E2zmE7tPwken7fKvnJ2rJEpl8NeEnhycIP06AvSSjKHhTAH3jGDaC1u0jBbSACLwS25/jHNicnbaSCIndsQzhDpFvnFxpzbFNJpMzO5BAm2hEi/2D88ixV2b6c9FGP3L5WcoB1FsuIF0mkRLXWoLi9EOCsnflOnLQYGVr/v5xv3OL2S3EU6o3kuHNFOY7C7PcMaUdyovXkE9LVrUIIo0UjJoRbLZHkFBGAJV7K4jCRxqSht9/D+h9d60Z+E1FJmGoNVtOz9WZ0eVmw97g9mhnDUzyIvl4M+tGeLNkO5vSWXygs9xguhkpVgV2gO6W6x1tNF6wVlJySk6+juiV7RagJiYE1RG6zuv5/AbjYAiQEqW7zGNEJNhCVQr8CX4hiLoDjM5Ce2TdguQ0OHIusvV5jHa0YqAKsCznJ0MqxEkJJsrscj/ZBQAwW9kZmyU8MHWTAXHAUG8DWTC4qjlJyFQ4oenPil41/t6AOwMiyvs5gGOjZyJbgU8VOJFspYWAzCMlMtYXYihIW7YxTDQsBDMiXZH3wm4Y8GORLc3emFoQSeqxRuFZnHLoI0dy+Ztlxe+VDrvAvbm+IuL33oLQDrj2hW68lA/P8szmSq4Yakue9iJyJsbywVn8S0sr1lZRd0BuF1NBqoeKxMsnh0VnwWpHy2Nv5lnc6tTkHfvmJVoHX4/JM9bSnS6jbqrACqmhq09Gc1BNGxiAJ7tKUfkSLWomSVZBQ8UxlPYCtuvU7XjQitmjnsDigizeZcU2ja4QfiFrMkuHbaYuQi+rUAtyfD0meaIO2BdaaNQtRm0f3Xg3624zjmyHY4OPAJ+GDLFwBmW297EhhEO9n/lMnYFw7tRTsJ+BThxyptqDkMvpKC8A7fFKJhpgJdWalLwxxOhZi4SFXI0Qjkgxjicizx5QiUsi2KgqVeydWIutGugcL596FPBpaYVnQGYXHES+tyidmqyT/Nko9mNpzjXyYqR5lZioHfN4Chc6RrMzlDo4mgemljK7bl0gU7kAMGNa8deGUDQY19Ec7VsMfSljpW1+CcV1mHxJ606A23DMtrqgNm0YA2sRKpFOlYlqOFPAZ8qTlac2Iupcpf2jvBSZQIKqVEa4DQE6xG6ZpJ92CYwMhhEnyw7qy4pCpzsDzaQoc+ai2RkIjguGZ7ikM6ifpge7JDXgZepfe+tJfhVt1gkj9mRfCVkntBUENyrhKR2MH/jXiA7B7ciwzrtbi2dCMs0jvuNQUsWBQhDs5GynQ11x4zDYojCr4IVIaSXHBt20rcdSi1Jy30hsJy47hRKY41gpvC9Wzkdt2dZaJNvHqeHyK0dVwNeTo7C3mIeJ/EvuWRT0w1nSjo5xAkhyz3dqBRCPQSNKJzgTe2PKxLNq9oWJPF6dgHSFo7u/TbHMehJRE5qFdUmU+PhsSsfwTgwPaGoKmSsmdw5CdpI0WLALSWg44Kjm1PhsU5IoTyvp/bP9BHOxmwSd/V2zVBV16YyN1tOOm8lTYhpraUWOUUewrweaqIJRyg/VmMnp6fyM4j6IW1PNhnRDHWariaOnecLOgd4JsLrdtCGL52YtZ7GktoHGI0bNQsWabxMBmv2LoTaSDBGZ+Wx2YlnZdjbe6IVwMk9nC1tIXVlYLwbfCvsAq2825QVWt/EmXS+Cdqw1g9n6MSNWgL1+4uaL5R/pIvCKCmsh3dalv9IqfU+zMHXI1lwoPF3+FwZ1JgW+2yQ79LQ22aU68LwOLLDQYhx+BXhnJCkwMLGbomX/zk5NpOnYGR1WzWMjHHUvOMTaCB9xXo6kEUpvqgVruZxVNPMeil415J6dV/vUK+PR0lWQsX+oBm/7Ga3imJpqk9IurV2mrbD/gxmbWcxg9lN6rGZbofv1CK+LSAJ33Sjwwa5fFQK883qoEQJR+CSRE0wQEHI4UjM/oX5vm68t0mdOLA2m6ja3RV1LwiD0PPU4g6aKWZV6/7qVLqP+c/2NYhRT7AcDiKX5SgItmXNEwKTebDcOKEiiHIqcHHZzjMbdK7uupplGYg/K9ihioy2Gxo1yXgGrAdIcsOphiQoS2RxFPDYt6fLKHZfUsZYI41eV0VFXgetNM6EHY7gPcvJThLuEO0T1ma7BcXldUoT/z2oCtCGHsALzI6FOYSg4h2DN4Dh9HMxK7pp68g2cMqNEXTLn1Co4wZAywsNuh/GhpCF2CS9oXBZbUoMNrM8VpjNo5bzuV1xkapQXTMSR+yRe5luNJxEgWCF3QjM89A4mn5Id81hIXfAitHoXx6hQNz/p8yjUa9mGYQE8Ucksc0KYcbEkTSdrUJ4MM7bpXrBfgFUQbKRHAYDp/HEokAkkauLeIhCiDcteGRgBmqEgNU27FxSEYCPZ4PuHXO57eiUzlhiCpQPm6CN+zgYOcNJR5SqhzDt3UlUpuAZC2UZ4VTAM9qyQxbqPH36BMV50+k4q7VCpl99punooRxuLBMQO22EAEhbjJLIMFBOxWBCqW7cOUmHzKlEJc8e+gzlKB8xzhMnWCBGnCe2fuUUNiLp1uo3PXiA/kjdFsOAZ10HOOFQw5Q5KaL8WSlHVJ0xuUB3nOCRBTvEkg2eloiVoqgFjm83bTGcaBqMggWzOBeA05V55SINga+ZKkSG2SktscoTOWF4CzxSTaiKCOESioaMrmkoWTVPC49WWpuvE9pjZZnqilsxfUiIjgOLTGfcKcB8XozE0bqjaY0Mo6EagYFsCpMmDYq4kJ2E2fEWd374wSWiWrDOIIevkD5YBmcq17m1WIrz6kFT3c1YxiEmbp9DkBxUIOASkJtj6b5qcLcOp7rwadYdu+Redsq7ZaTEsikCTsj0o0mO0KuNriBNbwCmBZLnRzFD6UdSxQg2y5yY+OLgKLB2soes8+Kjz4UzSqNOwj2Q9wIX8Fl+dUpAp8x9zQSj3H+vWREjXArFSK6QkLI0pWLZtfxzc+5NnXGvD/3+WGBw3iKT51DglIlJ4dLyNl8lZ8zZpsgVnqkC43PB/ibLaMAviy7MDXjKMQBaRuCcnvaIv4Vm83rk5dzOHuPln3cXRuAwiFvSMe5KgUsyAA9HYOXbBj3qKdZQ5QnntaqRGajwd6m47n+M17ZPJmWaIHBWJmiqCcIMkd0T865o8jIjRrOJcEDP0P6mBM90sZ7dq5wX6wA0QWbiCbkYSxFnSVeikQTgmax8clkyLQqP/M5+ulKmt6BLb+JBTEYkl4nYTYoOCijnyaGoFgeLSiwWkCMIyeVIIKAAVq42DDPgqQTPr7ZR9hwMQ3kgfGkz4dV02jkDXN2A4pv06oMxaKsLFhHZ8eQ6Ky3DrFhEWgdkloi+bEP/cY7NOnfeEsjNfjwHXyIT4AT0ekqq+M7k3MW9Mvo6SvcL5W+hMn8xpJjstkLjsiYOC/TYj6EiaG1tr4ldWjsNq6vDCvizf7vuSi05Rxyiw6O9k59FJXt8HYy/wnBecWWXfR1ZJd9ykmkv8aJ4A26IpkVlFW2m6jhaR3l4pMXzDXDW+6klIDKXuA+9vXB3YZ6L4wVOGLC3866nZ0jkLBxPu/XknLoY++/jbiTZFZ7t0EZvbRYaZRFfJws7wYKx4G41NdyMg0tTYSOa+D6oJDTb395Bhpph0N3NRmJyrzmpruiLpiO9m1vfJNBL/D/rFlvJtb13qRFZBNucioXFgDTGJxR5UxvbCIHmWUJBABtRCXOUxEGyb57FuKhny+9UgXs8PteUMor+Dav6slY7r7U6l8q6Qr6Z+MPfWI9aFZHmn9UfBkfNjxoAKoqhqIaU5DGSIQo5v9SiHQIzWT7DYq+OjpBninolYHW6z7ebkf4cb9TZIKN71ySzCg1R/lJHVTPuPHWOZ4A8bPJBrqloWVzmjbi3ZD3UUu5R72wIRzacxGWaAMQyDdGLvsimUhomnbft/hJVurVm+0fj4bF4QposqoSzze8XR09mrcxuXO27KbiFpf205DibDSof3xC5kOM3jh8SJSgcpKCtgc3escnTfuHTIdR2zIpm+pYjaRY0GxJdMQykUUlbRzDI8rVwBLcsd70uI/vUt273WCyIFyQ8rVSfbYCXz52HUtcl2xiP1IhFQo3cEeycQCO7yYLLNwE8m8mktfgbMyvXiBeCfOnNnRrIFZQFY/8rI9NjpIkKZebmu0dvOuf+5i+YM2r/EeU2ZWnM+MqvfS4bP3ZHHPa0C5dYfKx8OzGzrc9hmIOT0DVAdLEkofnrhAXheg6m14xkzU968si+BHUcl3aJ8BSTPquDg5b8OY1DNLlrTt0Ky1fME8+lkbwhlpUY9muCtPCykkK2GUe14Nq1hrrFR5Shh2YlcZSZ3p4NHMldNJQLxVEiPa6JEu10k9D8AC4hFTCXWzOYoLFyzCVlg5rAOJeqw0IJuRMNb1HJ9B6MT+pwzRQdjl/OGplrHKEQsPMEQp3iKKmQasT+UZnjzKp+KsjIcuKvob8eoOM00NOh15otxi3BBKAmHVrywSndq9kxEc/bMti239CgkoUBijgxX3I42sT+cjiNsL+le4H5zEpxuUqkmkdGkAeeV21wGnJGPYqi43Ufz3IHyIVlr2dlxMJVkkN2NyaNV1oijYvHtXOpZVeIIfLJFA3maPvnN77vmQ3C0o2ygtc+6qqPNHwfqeW81ld6fBnn7qIb5USZgnvPBP+dbouWjNS2GwJ83BCghyHyJS+bR77yRZNG03hW4H06Qey/mDBiXbsBr23E2o1a1/iAhIothUNE7UlhnDvJ4A3d9c5GzyygJBv5E0hEsM07PKMvb2natJQfyMZE8znWQwXrwaYog5QUdvR+UvyICVQIlIlg4w+0qCZHiAQGCkCvECF2JQxH3Yb9B1mlEKLsgWvenlLD7RlePgdb93Mc8fuTjUP60ABohbURy+tjhjuwpwS1IMd80Ka8IH+40hb39ReUjVMKoRSGs32I8p05SRYUYwgXFnYWuQpkf3BwIT+yJqGOXB1ZAgkWrC3GT2lDeMBP3mcRrD5AQhxKHtYibuspri/AJMfMjqhMky+NK1PsLCEnsr+Y2tNSAg8XwDKyQmsaVjtsd2lvR5wYat/HkiL8Qh4PdrvZvcCewwQpBLrro08FoxOSEycD6LFgYojWNle0wiqbsx0M66RDqBGQ15NhO40t85gytaXDFssOD3aQH7iM0zaetoLs0OEZ2AZWVvuBa3gwdNcKB+s62NgeplBYjhF7sRPcUAPhxt091P5UmdP3oX78+PLEsy0vM1/mQ+K8gZOBlRGpzmVRYDQmve+bqRdkHRq0pYzvSQ4My2rDubweygGKtirK6AgrefinH9YmFQh0Hl+le+O9s4Cx3MCk8RltAp/5xws1jhSNaf86z05dvlqKnP3JSnzq4GYI86SDHfLpsFUOy7LFWUmEpaugS8GkuMWBsqMiSYxf5T+7UEiFRZsHc1T0eszIawUsFiEngjbRJGTTKBb+9n96KXtlAkkU4L/FHhCuppkVJLZOkEDbJWzWWzs0yS46PUIQiMH2gJzhAiC3gqGhwRExZLYl+HsOtPpCIh6rMWDNT3sEpvwEi5LbXs+l0Ay9TZu3bpSi2VqCCsVtId5HHtn+WHT/sVXI67OjrtUG1PvzpnpYdrzvXRHinWisZOyeUu1ZC1zoZkp8RxIjtIweqLp7fS1cXsO+LyMHYxVTRUnZcIdm1/WzzWNeS0ka6eo5vbp1T8Fd7TQ6mvVNVTpB9BNWDHF8eCiWSqMFaV6qETqp2Wx7G2gBPzK7Ts2VtbcFDwPQvbZRpv5ZWFZ1EwxpmVrCj+iXYxsJF9AWG7FawCeAoec2i35v6zD5Y7SZg0QxBLaa6txLvZmrEbyWidAZsOhmwyycl721MBbWs2m6YFdzPJVzJA9EkZSPhCzvkpQwbFjOZIixOdbqdiopFyqLAqMESiizHTy5xQ4ojCe/N92pEkTfQf12O0qYCsLXgGCU1eaEQPJ1l5ROyGK/8UhI+yhkJKIweWV7TsKQpJyO9ORROAkH/LQnnkcqrEvsavtjtP6Lj6LMvfm+ricclfG2w8hiSQtk3WzlBlbHNncYOnx2B/dQadMjsrU7U5hPqqbB4E0T8/+4R4iM2Yos+eJULZ+PJfQIpqC0s9pDrC612K/qUQCBc1dxxeecRBHYZt5NcDVrQtBtF66lp4HZfpVhPsLc91LNfB/8/lXxu1ArHN5qMkkTOP7AuwqSiRbv9uT05AQz1d/hc4mRYfd4SO8JR+lU5kahRZlZ98MEQIGf+Giop8V2Tqr5uodvYRmsuekLZ4lLFSngILNn6vijaNzN7DuqVxzT1MPkHpk7mA7JzMP6ME5irIOw1e3nM9XpQE5g35CKG7vkOTl7y1n9nUbGnZry15k5DEWHn9dR2OWe5jKeFDvuBtDzzmunlgtmxXBSRfgJRyTKxR1H/Uwg0PSEb8q16LnDXM0Gpy2wSYhikrwY15+imITkM9SOwTaEx/URnJlnC8XS+k6HqvsoNOHBxC+VrkGnl9oRnqZeLrFkw9nWOESSatDQUaOnWVazK3da9ePsn4mtbu5p9FFj5hT6LRb+7Mwbfs51VM8ZnVTJSuBBaSiPGu6knCwZVDN0rkgvae6WX01KQXMfxq7D2VUod44SCllvPTn7Lmf7tuzbxCuAh/tsYXci1wWBPjCttWJubc7IYZ4yMczXkeS1kIkRGSYD2uWFRQJO5JuuFWBlRgtXpMQY8aQiiLQ3jFUKrMbL/hT/UysiCPfLyl+QRNmqGvdN2jwRHGk59Q2SaxwAzBKpDI7NG6Zod0enFIcLUWp3k+WC0MFlQ2wCFzzemjos+i7ssr8HUdQ7QmOLMCeyWS09Gy/oxofNWOY7H8IqFgJa8UVnfslj9cWz7FbQNshaEpJecWs5bQRFuOPB2y3/3FFzS4jEBujTaaS/N+K8Fg7GNOTDcuviUDO+StJkA9LJLHqFn7jujoa2qIwRDt1zNSRrUIabeB2hdCh0uRX9FUXYDBh/aCxEm1aaXRwCzsGuYmnKhGTIAERmEg5izzSz8NYeiE19GMUXvAIo8n9DK5YRZ7FqFWDJWpbJ3RNPAKvAOklFnnBP68FrNoK9feh6Izhh+c9CsIaAFziX3lOkQLRIoufSMn9e0MMCOAmPc8iQCCJIQyZW4GkuumcjityLVoGt8lHktIk9rhqcFzHrWCXxTCa5EKPS9RCAZETs69Ih0gnT6z6YvQotM/RkXU48PTXBUqiENrdG79jttPfl08PI54/nlG5KahgJ+9DSYkQ2nQtxdz8RZqXJtkePWIITkCtwTiVx/bxh/Pm4SoL7uDw36VhHc9/KFhJ72fkgv0PcqkcM57OdAfVHh5WKlA1yh3h2/bqvIBVC17ZZxIZRDCm/WuGAGkAj2i5AohxtE1xRQ2gEcfUmjZlcnkpcfovDi9nFAyLO/GCKHDOOkIQHRCp9OtXN6xgDFo6ZdtbAecZ0MqZKAWftfS0DkMY2BawD2pLMAJ24NKLg3TW83E99OTCwkoq4NqyCZ4gxYUE+ui8Cwv9bMwPtDIIPLEkTtzdiBYlYzQD3ak6yQp4LtdTnHkCVmsiebDwNSGTT9qxdzO2stWfxeBizyowKwvddGFOQNK+b0EXJqFiB4FYziYo8CyJ0L3gb//gcVIA41ws9VCZJ4nlHMfSslCDQgT2uT0W2s+hx4x++sOb47stnFz/5kw7qYm0nnPBo0i6D0neWQ863iev5yQ/cBkiQnd/Ajt/coHMrkj6vzcsYYxx/Qe1AnUhliGfs0YIJxGM2aF1GiU9ANqsfD4xka/v4xghqhV74UApSPjEOL4UbZbnuU2AMiIfy4fzR/NaVZyMlXId1jqxsDtNAE17iIfZ9jFyGgRfVXCkuneiZwcTe8DlCoS6dbqAhfCV/KWyRS5a6d0HulFE1uQWlI59Ed+cKJEBmjzqXnmCp1vmcPA6Tpv/p2CkDsStIcSdQkYC2CEimkJ0TrGx5Eb9w1odwROr8xOXTdown/9mK14gu19rfG57ZEohCGRYseSzotnkXL249nEt5gKLttQNczkB0aRnytekTEf6AznPkdzu9F7zJovvg9CGME7/kyOnTCFQlBAogEpySGGngXWIRJhqqmLkSh8SGoMO0NM4pNjj+5sxeBU5jV1Ypp59M7DecE1SeK6E+pqfty7/dS/Hjc/iyuUurISiwushhsEkvJxvbdXyYutiuaMLXXgYkUmneZpb4lj1AnENWYSWmai7ciDcIRCYLsq57yNWCSIiSKdSB+QQ8Jg3IEq7SSXnsgSXpaWNpudgxbeMLoTxpJa6pEwPbAHVVJiKSEaQRLgxkUU+BZYBtpPStn+FXCQLIwKpBAbPpfNMwe/SwXbyFylyHeOFciIDG40Gsnjjq9hq15i3Xhey/PPC1bNWxaRHq0Y6SEDX9frWV7JjYPcV+Jm73zXA6EtLD0c2Abfii9AaRtE6CY+cAzdq78cgybQB1izEvtyYoDEjRBmt9kIqliGRtvlA+qeSM1pM75hwct73LkGmEIkfiYhNKYBf+kSsn6IW88BXXMQorGybrYKdUtb1Z2+N2aOudLLSepHw97gc3k9GBDHe8IHnKVw5Sbvonx3C4EghmDd/F+NN/w9ER0/yVrASnUKFQn4cv5HASovXWcreJs4N0dUhX3VU1FKq+zCpNSrilbEsJw6h8wCbSwXbrnuTLnqi0pKcubMxhcJB8YyJrIZ2hC/U86ngsCMoT2VBAgbPGn2OQOtUUmuYmA/BwDypgQ43xxeJUHslEiBA0rdz1OHN/5tYXnH1M8bmBW9tIgjp0zv7OsG1uwc3U905uTCUNVKZp5V7xMsNUqhnNtvMI1RZ1fOq4dx+iBs+ZUocohbaE8/jLkT5kJm0j4R/YGIGdsBQl2D7AJt1ZTifUCzBahUpiuVqcOlmBkF+MzU14gGlRxHUA9AUZmLdXCW03Li4mI/V6swX5ZCxF77so+BS82iSlyO/PbDJq7AQRHt2e50+t8h8vkCTS9SN1AfwOF+MtFGrh5stEeAlGpYwhW3j7P8GR+yFjkEs2SzyiqDoE/sRuR4TEyyG1KXybGdHFaBPNApifY+86+o/STGZmD69zrQYgt/Oj9ttL2XB28K3zPsdGHYJ1/mND7J/3cR/TJ/vdMEmRx6Rr8mJHEUB71TXcjhGsM1Ha1S5fiNKBLUnTQl73so9/oRMBBSrY7ud6vhrm8aAWcS5tEFkYvBkZjXHNCGm9rX3pjZgxWwjNxsWWp043/HcroWoa7vzD6Mcqkb6TQc37EA5DHcO2pimw1fXS7PeOmUwtUGepXuh6XW+7Ry1B4y6nlr1S2QjDNImhlrK0UuXiMCQIBD+Ew1DMWHTW0gp2eFLgoklQLlrAbJlZaD7Yocthm1Cz/4Nn150xOGJsUansdwGVFXg4Z8dhkI+/T3EGE+NVpLTfyJA1zpEwiL5Ehjc+9VHJehmcVdvL0KxaBXA4VvZJOLIdZDwipb0ydj3WTjVCtML8tHxCdehWkG48NcO9pStrbox1JfA0Rx8ksz9i0tE29zIvTkrb5w4567ZtDq7kLkzCfhDPpSCFud9bvarunKX27MIF6ve8aoHWArg3iv7jcrotKrpSvazZGdd7qGZvx7x9+sOnf35RwCjuUUp14bw8HEfw1MTeXw4c3Q5j3oWYRG6syJx5mywYriYFkKY4M5xWW7uIEozru0jl31aNlo0fpcIpDG6CnvR6ENTqLLrVbtPiDetFnhIEFBDJU9oSSxAaa+hvzIIlDBwsvhGZwwdL2kWm/9XKVXQJAb6H+MBpY06EFrlqIgypHW5Dm6D4v55R74n5unixTq6CxN7OcUC5geUF8+GaCBzDOBI2Uf89Wz+QTfJ/QUQ3sGlRuO1U4EYiec4pfj/7QXZYLHgP1PwA9Q6ro++9WCNwA+1cDRPXzsGwQWkLXkPOY9z/BXU+X7tYaUVhWWK84zG2J1gkBhyZQSOwMVXCAet0CZLl1qxk/AMP2moFgsTnmG59jXTw6g4RC+zFWtSqEDol8FvaFlVotBIsZ0RAFwtlciO9t8hREeYNy5sZcUyKa1ZFTLsg3jN2nCIA2WfaCplRaBG73qwybxiO3ZhluLinOtGLhq2KxBNDlf9aIHNpRrQq+1vYquBn3iZORbsfYSkol8wmoA8bZyG65/QxPRc/jhnx4x7zi30Eq7Vr6FyLvTiueGGX2a1BxCvZR9hcfoQqWy2mCaTb///bmDEr5PwOomnEjy3oqXj43ai3RuP83to1RPP3UW9MB0VQdIeZtz6XH692uhVfv/VWq1BbcqhAWv89y09psl3TWf85Qy9e+VeeVbNBmmjMioRLrtjQFLJIFmk2UchdCv0dr+ti60jBHjWltZy84usj3p5JXe5L3zbx5vIjQJhmoiP7mXaXB+ja4kzsF/WRnUFbpfKV1o3M+vs/HZCGyNMy7hbT8LI2g8AXpEyUNJ0zWQHDBjbWxzY/+t9Fg9ghD1/wPjmtKxVh6l0xJARufU7giy81myDEYCpNp4G1IRIQwZ/PjuWwejB96uNRfCbK4GFJ7M0UB6EAlEP1OicdZyXSuachC5Iomaunt48mIrRIoC4TK8DNJUQUbdR33q+wXDcQX/5KXaljL7dHplv+N/Ttagh+z/pN0Bg1VEW3ZLb07lsA7j876tjlnqK2Xa8rWrqLEEiW5XfzZMqdc3et6JilLrLIUSFD3bWwXlHxJmtDDfAhE/eud6uhMLOADadRIaoj4FNVmaByTtCAnq0mm7X6ikseppsrKa2Rj5Pvu/DtfriYuLnQn1WIYE/5aCTZmSKF3cZNQmvFdSgsZl5NFf59fAU1o8DbFDHQelXZjHeRH8+iETXCsCEACPDqxQiUHIszKAWSZ1+8Xx261aBwWQ3gegEE8LsDXtmvbKI0Cgwe5wsIeG/AWwZ4AjrZwMoGSLlNmACY2iMCccgp4ufKDgXjGxz9I2g1ahQZ7tLOgIpiF8IwEuU73RbtjwqrWHDJmxFr63Buud/F7m/0JHYvfF6ffy/+YN8QoalZUg2RH1aVHv9/xSquu+MW/T2dzr+Nix+m87P9Cw0kX7jHPyIr9G1jinOXLoJY9Ajv1iHUpBPjqrdT+87fUZpDMow+JsmvwHsbygpPaFMfC8IcaTSVzfZ5KDJt54AeAqJtR5Iy8pwFM/xRNaONYGQb1nFIVlgKdIqczNL+HV6iEh9sFimIXIeIa+Mg0lSD18gVah7FBBfU2WWEIjsrXmq2un44mYWEBu9EVIaVdssZQ4rMUBI//Oc4mcYxbCiTFj7GmczV9bIIBoBInEQ6G7+TNQm9ISpL83Lw+ZivcKrCbOxQY398MLNsL2Vufl19xqIf8bG2syCZjeI9HMalcqY5xDS9gQhohVKMDd5M/AR4d0bGGBEAoMT1PWSUKYn5tc9wJfi622tJNd3n/0oBZZYd5vWSQ6Nb6dDHW2+wcO1ULOavTiBNAQbazI6N3hsXh9roZ8vHBb82IBKDinm+/Z4BBIQ8aza5abIq4KNsma00jMtg6thVdkY2BoTi7xSjT5mSsjw4ZaBJ2C2OJ0xJW2iTStAMhNRySormHFnPkfkBzwjARe9wIVPI1y6G179WB5qchiZNQhRSAjPcXQUzkKE2UQCJiK9sGspNJVl5RGBlBs98Jq17+xhaI7yFChgxaWwc1dIfdfCoVdGMFzCai+u9oAJPYIeESKqchLTxWbFUekgDjq/XZmxEJIejxJIpvNnqcamZhSfyPns1BVHckJAEpCBikxJ9iTOic5sE5Y++KSxEJ5QJRxQ6gLV/wSecpM/0SU/fbGJDmhkV2+UXoxpmeX1NceOe/JSOfydfimtJ1QQfdN73yzbwuan+Gb9li7Fiml02k8IauxA5bcuYE1dPv/nt2sIidSIqD8o518VCpVyUxGqAdfcXE3ETLINoIQo8d3yJPK1q+yd8U9YdMpR+oRGAuo/9mhcjWrRvKeOoKIzSTH7PtqKtSwKStV1a/BuxJKbhTca6M4CWhZF83xs1K1cxb90TMfM3euKLYyz/EeFTSTUKHF8JFzjdCTQ/jMNuBFRSaVuvnYFSsiQcIFnLREG72hpcPp9EJ4fSUEPpFCfDDcE0YEkGXj1Y4wv7C8xQJbRYFIPpkRPQV6jxF7lthC6lPkIH1TDpMDN9BAu+iXl7aeuiJ255TILFMtmcpihglCTaCqaLzQwMzEZPD9+2dUZhX/NSsFi6jH5id+3FZfPwA3EFp9uJqwh6zfCHpCaxa8zSMe2+4WJft2MirV+lYqvXjPlmblu+2v7MHTaSOLLMWn0V841FXcDrAkjFtm9lHTC918mhRNBGG8UB35m80/AHs9zLfQQQtP5k7o6E+3gVh4mqEoxb/Ykaumq8AJYcjiat2PFteEmATixOuPrSp3AUnfxOKh1Y0zjkdnGVHwX412seZusIivT/sdjlzPqyPO+W5LdqHnq+tpUXAI+xPc0Q0Lmu11VPXwUafO2r5O1Mvm9OqcARg6JrZuobGprn0nJ2MGUzyOSIzEcfNVx3oyX3s24Y+Pk4tDxjOuHBKV64NHShl+QdGv5s8b8GE9kXBPQq4I1AbB9c9QMs4e/OVsVUfqPPrLyGKNlePROIuDHN9Jii/5plsc4SD54e6mckTYl0Lb8FT209AD7ARUtGeVe9+lNr+cvneA242BuzRmw8NKwn/6gFqs+Anu3xb/PyUw/ZH5Uo/9BiNjFAQtEZhc9kXnhGrQSHrv0h8svWGtyrW4aXYRy+jYnKJkj6VAm8aVXWUxCtMFxSLhMCptoxNrSh/KLSBN6nLD1jMW4ADj5oz3VXrNBjEfk2JDA/NTwIDDYY130mcezCcf6+qX+dxfK3CfNQvkGzYyW5PjI5x5n8HnXu87lzIjkTam8GyH2zfL/geF9g2Ur/PKFfFDCfPL/d2M85FIEGfRiHv0QjGGSjlQ0kdflSDT/DkIMRgu+DITXwvytco9Ao6iJvEBfW+1r5LtbQ87i3TTtEGZW5HIs9cokCZEAYK9a1HGfvgUAvH9H92lAB2nUw96CGj/aayEyIqWP6+NftkeMPyPc+lvuJD+xsIiHS8doaKzD5VEj5PxNGgOfdIQlmYONthd+UKG215fUatm0NvRXaTqTiYm2p18rWzTIuiZMpFrh9IfKJfjKLhqcjn+LdWmXMUBzsMGUSZpzAseddXRR3H0DYTNiRk9/z0uY6+qw9TGoXuYbkF2jkLNn/SPC10b5YoZQGfWyWR7speS/Vtdr3sB78OgOFmj+30+oNv1lr8gwG+ToMlSP1Qn8hNhPCuimN5KCGTXA55T4YoIhqX48xbWPxgx0OnAwm4VoLwipNdBQDY5l54OuqUnjSSYKz86r526yH/QyLLkNGl2S0i6jD/R+4YkGptbNf2slrITcbkxw80eRyNFOGYWxJz/fZ2uFmAawwGWbbbtJ+WYQhs5v5FOLwNEV8D2MDVpt6vbZIOnI5ZLBXHKYL7FzBGZGtW6vS1YTFMYkSh0s2c5TfJZ4WJyIFw7v8eVyK4h5GcTs+5+Wnf0yJqQhdIpKhuA2U9wHz8PTjOfkCFSoccz+Fj0qYlj9mg+QiUTqIoqrfaXnpv3f9zvr7c6vgiNgCmH+Ov/y6PuWlamqf0aNT4LHx52yzOyQkcxAXFouKTRQvP+wpr23ogCJfY8jcnxWKV9PutchrRxc/unSxpI8B8qMimG0GymaIB4b691lh7YwD4+09aoRdVuHhmALR2E1CEMQb+jKmm+E0d8d79FDDQjaVbK4mcbCYGTfNgbaSsaotuCxGW2A9LujWaN45Gx2KRdNr0Dx0er2wfIKWCW180rREsPXvTKO0WWIgr7CeURhyEmv66YA+L8FWtDNpJd5c6ZEGYDoj6xfvGO0nE8773tyLD3215cCq9oSNVNyLDc9VDlT5QGYr3NM7e+WrcjFkAfHlDg7CLbNwa6GoNPwyFoBysXLQxsfAbL67HVlxfBrsADF6ufk+GNi/Hab7DezEtvDTXqAT6M/ho8flflar/sUgx2ZIxtbD4fZQ5X4wLIdOv77iZNkntsU7SEsnF9bxnY9ebFOfHByM9k77yJfDAPrVYaked2Ta7oclXwF86mGqb+Fp3k8G84TmT9re0hfwuQMQ8eZ1Oyw6OIr7/95kLo5uA3V9iboO9yrtL9FyNRhblalKGAYDbJhyQVaHecMv+0MU6wukhgXLSzzMRi90uHkCyV+j9MzFGmTfOgYY3e46tdRMfIMsLJg2+JpzgTvLjx8HUdalRMYkTsc5peiw3QK1bcGbXrx/XwDKx0Q3PKRKkEOBDIyw3WzAxaAkj67onMfwo6eObv1iMGCnLDuFe3r/wsj3/eaDJVlQRLPRm0xqSd1Y2lmcdZ1tibpgcTeq9gw3q0Kwdi51LDhtURIp2nhRJqaBSfAHIUn6kkwQRvTyHQ4OULWwBRuhGqvce3Uqsy93AccJIQXYS8hS89ihQRxJ++LL5uJ6AO/ozfi1I4Zv1fJn0dZ/o3zH50drPj+X4c2ji0uvUplzdJ+vFlR1JC0LK+DfFYS3A0Nz418G7lxWow/Wu21ZAu5BowKOzfPbzizWGabvLDzFJhff40LPZLAm13wavPKtqFjawVm+JtKKVYk+uqOkXIYea1wP6TC+xQkH6VApN+x+yOLvBxIJAXQAd+qj48L1+lRUp+3BwQP7nXKrFScgzEDadT/6UPrCfV+PLBhFbIjYvzmKWn+I1XEuHkQMYMIPWIiBK/d5qYSyfo8UAlysbfLdL1wsoQHqNg5IJ9CogErkmhmT+TtWR5jc1akPbnoYmpacvRjMZjQTfQ6+uVtlteJxToQdtwV+g3V9weE5Gmcg/l9u6Efd+97zZJZ0gLalYBztN9gZmgQCGsqtqP81SRzgkI+e3sqpa7GMj5yib3pnOWOjhzUHENfaIhU+3OZqc3AjJM5QBVRw1Q+C/2xoLxtYzAAR3UChGx7DLvjWoQT0nnlNBqoACLnnKVHBEaIMCnOjNpAlfq13qAYx8bXWCIOauCzoBWqYkx5ByyPAJ33NJIFC8XMGBRyl33NkwaW0cmEqACpd5lY2pNrJ9rb20yoQTq1rCf9Q6lTl40QF7yMr7avjIJP5Ai3IaPpXkAvJn6MVwOSwYzDNp/O4if4XET2fTSvNnE/334sadtZuk1Hd9/bg7cYPvV0uCPWdsbgyQ7aRITL5zY/g9q4ZdiUgfU4Php1i0GNyhh9KpimBplBUZjivBdbigGZ8/uWHhVq00ps+74z6IzDaSzMHBk4enn1aWUDiEhIgkqkk7dB5q7NtsoF/sicZJrBJ7+0Qiltvh9sn0q5Huxgw+E0Mqt4uWr5dzHrRbS5hLVkHROuG1qevROqTlLODtZqcuYWLBIlEbV6jPFX0jBlDB0IEQiCxwk9n4oTowtuwv/q5vkoHtQv1ZqUD4lOf5Vi2m/hXrPFwQoSuX/oJD6Zqn2wKExGTxvq/Z/1GDwtrvNxyhCzs81b7NNeEQj9v4/+AooAlApy0QF/X9r8oNCsm6so28vSKElCs3E4+QqKotbvzVT7i8ikkuD5Txo620OmkDf27+mG4f3EV/bEOHKF9hbtXh/doDLQwVCuEr67B0mRcVEYeEINiqB0RKtoBJ9HAGjQSrkmEHS+NgGVjnQ8QsI/nNoRAdlqCWU+xGSVnhqttSb+FsBDpo+PG0vMHq1y+R4HcivqA/K5LWRp3tsQOkeur6BehFWymLr27VIbN6obS+Pc10j4L+8PhdMYL2q/tmeOYsdC6ghtWuHGq0asALFeHjdDyxb2pW1kh77t4jx0bjABNPaTViuxJbcRgOghPrvXEyLjxm1Br77xxEbs9Tvf+1/y1NVZogsSlM+lvcsXbopxvkMKGsD/SyD/OsZhFW7BTIXAHXyziLAwZxxGrfPP9GHQ4ZmmgQrNATtHmOnZ5mUDtKQqEoXnV3VA4u1rRJjJhJHwCPnvTMV0AxvEWixt3nCYc/VeAv097H74AjOsBLqL/3x68gAQoT/cP7gYlqqiaZLbXmY9XYEj9GJkGxKMDBAUnaqt2FwONs4gVcs5ke9fQ2BDPCkDsr6Ac3COwbE2mqKTX8jrLpu2brQFY5Is21SLYfJkkipgYnTZrSrTwEK/k1h8y8CykrKuRGZNRxh/wJXh07cyMRE7xWjjkZgHcijas/rtDUq29fx1/oRO/VzRsnxwj3qkJ4w+6iLQr3in4xLh+nrej7E0iy7PgsRLgtN6gmkLDK0UGGTBMH5EtRU34jL+Htadt4yg4Tt97VmxN7e1CNpIMu45mI8gDRmWWku7U1qJPKyz38h4zWnJee7fPVjUzfO/VyfF9L75cfgp5SeLvJLFSAqbw6wT3iBPxZ+ulCD+a4EIsVWzOMa80HhK+YVInPcnnUpBCoe0yJ2ABN6PgU+xi2cGSSGZE7jMMYjHnl+yt47kbG8mZeWs11q2noZKSsZ+V1P16GWYrBqW0tv1nZxeRyktEZfn3PNFdhAUzomehhRGl5VXVxnDIro4xlUe50nCfikVf3uiBocdgjYptOmq3AS68OSwphlBLDYWpvpJqPQL9lBhJQwnAdAjVc63liMSWdCcRLTFtVo41VGakDOjYsHNwsoAIFzjCfOCtyGMO9wCmSQWTZRhXMA3hdsWFMBIg1CLKcH0tSxks6mEg3xp1a8LEDFMtm7IH1qblaTSuMI/CFS8xOXJ3az/jWhpDf94+sFUwGQqVGUlr63G8kzM5i57Gbc6ZlkEHS5+1HpyXuEbBlEGT7jdTeJ3NGFDcpWwPRA/PVFjPYmvXGlvpS/ZX+URRD2p7SceyNoyu115CoBygDw8+cgrTth5zK8oMASlTWSgS6MyrP7S1BD9kouXMe8oowxmNfR7JUBjVYrOQT76i7jlETt2+Mk0peZT02zJZ5WiVc1/XM3VclYDqgYbDNfrteLvAeqRa3fLt31yzxtvSuxCgZrlvwHln9d+mXqhSOSArrU1GWT7H6NQ9yQvCzW2JATdlJSkYxg9+zoPVY+yNT1odEj8qUNNL8adkQrzf5H2KePCCIGaK8WTUpzIGKmrTRmIv+9MZGgHLyl4Jb2tLpXL6yuIuAcUYPh/EcixAGDQwYc+VxnDMvO970aUf2JwTUv0jWSv5/x4HQwoHFa3RfH9Dh8OvhIoH3oceGImPKgTQcbmEvy/HyeBNsuA5zcJ3evZ9EN295ILSsnvc2d1sZNiHTPLztnwFZdkanYws9yYkwBWbwCYRIgh/3c8iPL7uu/BjoIOzKzMEXLvlNKmbwtnTCf5wqP9bc3NGidcY6RWoa400tt6McY+uao3UCEMhnFjLfvn9hwhKLI8zuRlBNMC4c1h33u+JIkhwRj7UMMjNNAUBODMaUMzOqost3KpwWbouDUbQo0QOy2P9VeT+djI4mWMIXzXkVaUZjdYzuGus5i9jN079XRqPDGu5QI/JBKcUIetkHByzXEw+xTIcldeMdVFJzJNhDFjPfJiC5iPiSqLhdINUnGxewOwnQcn5xqTYVohRcX3dW/bcKovq2WFymKINYJ/1Kt4oAaU1e5M6as3kZ3Ndy72ScJtREOkSf8j72uRERNQKFjlRR/vTgkMgMlKpnQ7CojjaMtuMXBu00N2HlwdF9oBy2CWAxSpx9yyicIRDfKc+bsO4n7iJ0YTvciSA4TgPGUM6uZ8+49BRPE5K1C6yoUuKU45GsSv4PIQl9BAAcjNh0gszMqOkd5XVWtdYrki8QhxZq2o/QCSmoPXWSBfAk59/wWEgX5XKAJPHOZp8QtyZ9a1giSE6M3+cX60czKn0xjRK1sFhzwth3yw61iyht7YVd1m/vsAplih9NWBSFNBXA0NL7NtUUagMl7cX759LtnyjJS+GCWkU2e2DBjNDsJ0Q5oUzKKQI4A3sa6LCSMpBHgPic8mVQJnqFTe2N05Qiz3rBficNWmwfgZLA15qdSTW7ghrKEkKZSzCtiJD3AZHkqosOiZZ5BdvqnBSWOim5lMahdEdaTAxZG1QW90PFjkc5Ca8UUmWSnaU0b60pXPCQUt88eFLIMaxyEn+2krhNlB67yXYHtLIdNFIMqukFYfpro0ssGoKLyF7b6s1nlp11vIaxvA1licfo4oFQHL+RFqvr8gbvK9hZAlt9IBKGmBWB8AKQdMAq+eTnlpC6GQ6Ie6zYRpjNvV5hEEDLPvq7/90gMELO6D6n6Zc89XaS1VaQ5pcCfl8HXOJNJkUF9LIr7l35THLgJIPqMvAGka7hMGDqG3vyQqp+/9QSMfscqDfdxfzjwp/fgKIS3wHmRt0D2kkMQSwBjnS5WoY8iTaZ/8ilsy1hZYEKJN+8Rc7xvj7sJ3MlbVWZUtx3J8COti5Wjt1ZnFmBLqHVMccWC/lm/xI0WnsI1TsXcmYfv8lJcoi3ISCpvsHCzxw9g9fsoifwdXVBfstNbHufIi3XIbRPbRwEFvF0EF+JCe9ntOHrONnYIaNaLPSB2puwtdy6sm81k+fHz0IHPr6wjKVgoq5GVnLmDqt1gug2YXGpF5cFTeVcdft1XG9BpWZBWlufMnBHKYVcfqfbbjMkJodSPcRPkvR7lSR6qrzeJCGHqrcZW0xVBzoj5mDnfkXI7tLTAoU5wt1KFxlhUgunLhBzr43E9Hdm1fdxRXfp5kHu//VAvXesry01suEOZaw2VyyHuA3GmMIxnWEpq7cfuQ2SVggAuhJoCEahF4Oh0a6V7d3+ER4EX4NUMu3m0cPQKm9e6FH093t/bmgtK5mXCgtRhSI84EGshwA7Ilhb1VjRaL+hW7WtFMtuDlyk3cjQkx99P7GuKtpemZcYrhgiRGBumO8P5gmZdbnPMhAo6IRD29BK3kRFSErP9+FVlkFiX/p+ysXKqk73fQkPsdciolVmvoM57Ie8kY8hXPtx1pUMACJYg2V21gD4qKYob6IguZCzF8YsM8PRbWo82dbVlQn38XlBALYgY4Y3D4DyUaKObx63TKYcI32+ZzwnNObdRbXrjPBVGU71a3T+rvmAS3BNSR71gbiGTyCRn4GwgzFwa0iqJa1aWoQVYpt43aUJLTD6tpjPezsfcrDnNun61qxwXHhJMHjxfVqZBQtSkzB+NjvsSbt28xBaEakSkrsGpFqFqV3ugNBUpHZeZeZci92Cgn6mLgTbBYj8td1ZUKhyQQAzwS3Yl9iqKpPHVB0jYPzxDRLGeyFGl8YmSwgGmS33RnkUcLHtGS2Z4225fAgdoeX5RjYtLeMgxZ03NDthXa0UdLygETX191cjk2rIfa2qrWoLAKHXaaSxvC92QYFK8hNbOl+rRZyYFDn15BoepNY+iQ/VDbnjeI3ggOpYqXEx5NfeYdPWguiEjTLzCFeApknnYK93JDEKExI4bQxHF7eqv0xswxv8DRpkynHxIE2BEGeA39lO1srlndMCws4ifDCSYLFbvaC3QqK6tPC5VXTOsBnB0nF0YSDtKCTLcKviZrzcFxQWPwLqJ9lFya2GBHV7CJPQbZFcds1t1+MnaEvLqzxmB9vcY92gTwAThlbiSCJ+JkzakW1XLHqGzIzpUOjNxIptMDUy62kU/j1jRhUW7FIQ76vzlh3uTuPfSNmCjsSb1IAElGM/y2jjwUAgBw0dEOqcXGJuAtokJXqHC9fXD9KfnPD8yEKqG5Anp1hlImaleMGQxyc109LfWnbTmaXW7bAQtaLC//JEsNPU34WPevK1/N1ajOj/slDIjfhsizbnq+/Zy77Tuigy99lHwTtxMa2v3JIPRfOQWj8eMe9RfyydxrFcQY2A6FMcTjCSzELpvUHiB/XQz7rmE6/Mdu37/GWZCsXEo/lMeVvFwRlPblAsrZ5zwjfXrhNzG5mrRx1GsHtG9Fk1BA1gsBVab4dsrWuAVhcDUtbw2iUtr519vhbarDFp7E290ZMuUofI4WsBWwZxMI0JQ5L2Fz+vy2NYnow49O5986HRZjRRywgsLT4cA/2qPEBGEaXDHV5gshazhrh5jjg5JyWRl0/5DASwbn52HcTNsa0NF/r5u8RJE70dO77hE8zhSeXfSyXT8GYnE+Wh2RiGkts714QORB9KUNCLckjxmbkRgsdOTFrjEWIRfoQKD78rrFS5byFyAoUaSO8iOi8nZ+aC7IN+fAxJqYZ/SGAEYNWHrNnZdKmJ/Cut2JHUjfgHBq4WTkD4DiILld3T56GyQfd4JILRnKQ2B6GbHAsvWCsBkng/FD+JhOw+FnkaWZIAPqX5WHhgFRHKO20a3DsFjKQpI8f+ftZtxFLnG8H1BVIIfUMzh6/cXpLy1viSaB1iWb7Cmoj9VssLV1vNJoLjYJyRFwcvqQOjw4OeYNXNvYgTg8LmOQXX/9MiGur1/sX1Bwr1amm+c95rcJNMc+Ymw7t1dCV/VFRIoBkEFrZ5KF2dF7641c72YJo05JPXfxy2x5/aWlf5lJZ0Znrby2KiqQBEdSMAiV0iSkkf6v2X6d1bE/h/leS1aV9R0ooSfU36t1NFncJ0X1SHoI1oZbnxHGA4m71L3xNyd9byOjbSYJOig6Krg91dNAjt4cSM6VQPPV5WCCmMLANc++FW9xt7dYfBIMZUV/Eq0dJy7iSvNP93Xs8GD6NOHMaSZNsg7uZbsGXVUTCXrSkdpw+B6klqxyt/d9+Z/+dMcBnHzwwS0Oe7/KQD3pHF9fi/pbOcG13aFI1gx8JZsiUMSn9gZZU+lbjFjpfRADRZxJPCVCxeXliMtNSGASdIMH0EvsDdbQJmBRbwG7elIheQGWXMyOrZb/HLS6vqNCi45h5w/uhP9UoaBOkl42g0uU6647oHV6DTz0s2wXobEx4ecJcff7tG40BDzHGbsK8xMDLRkvtLFMry9SaZblsxIvRkMt8bWBBT34kEF3iNq9UVAMy78bVavh5WsPP25yW0hg0iZPCj5NvZ6jlQUxqTHL7sqiuXghDHutqkI/oUbrw1kttUNgEwf7o+MtOqtNcE/K6h8kSZZOkZZVZotUMqp0RJoODJGMdPENqO7oGHXUI1IQGmjV0Va9RiXKVMcQ0RhvvEOO0jsEk79Y3mdbRm2ovfDpfB5IKZjXBYTWnNa0jN9Ua5e5+Herqha89aNRJnjFnAJ7VQYyp7HPO+X0jeP99UOTMFeI46/NQp3FO08qRmGBTl8os4Rx+3tSXylRVApMFlFPnbKnAR1kvDASBKRZ87pbT3QR3orKWscoAdtpDOi05+mvK0iWneQZkGz7NHxS2Nnzv9Sb2QHxbedl6a4Naac4hecVnlGIKcb1EmndCnJRS3VKwpduZrupgubCumNbxY64d5MkTgzxMHkHbWlHEYlgG72SiR2q0KPEKl8fHt6Fwcw7Dyx57l7tIgWqi99BDKnib4GIaeRoXgn3PCVDea1i9pV58gkSv/WCHEIjN4sJAF9D6l03Q6HoDoF4CgxAMTFZeEhSoLX7Aau6YuapAwAqK97+gdXPzAWoMXr2m4AEfcvnS4bDNECg+tB3CM5Be8/5soIH6VNYnVbh1DR5UA2gxZRgxV9MBirAx9jgsTG+v7N10PKWCzEfcrNqR4Mbwse7b7FYDviJHAbLV/I72CzynlfL10xxLvDJErJXiINQatJu43gjWyhNPnmVZJGvDAaz9LoqJ9iwwfLEDuLpIk+HomxEGcigQfnspzr9EaBbFQRgHJp4+jA9RP7zQ9dPQz/MNGEu/02HdlCPS+hbF8bp0AaO46mpx+2AvHFUTVQOYlzq4s6MxaglWCTWKeXgxKp/WHdyaTfR2ZSY02jF952NWigh6VheMW2NQ0AsqQj5MPwZu7/W2KffEzPUyybE1KbP1CN6cwWfRG6t6fNMf0dnpAPXK9ghSlOojOi9fGtWQdjAFUd5KK/KtKyL1h6nF5v712pVmjPP+7ZEPnq1mV9TLYulswxIp21+Q3b0W0dqLSuXvrbtoafqSEPBbrfMer0CFJvjPvdm+FraQi6AF5Lj1pcR1amWrqbeI7/R4bmpPp/7VWo07gQfQJRE8f0vUXH1dRC8VSayxa4nB2HwsGQdrEyBi7UeJzTy2N+nTc/synNC9lpIQWh9wzKP1S8L9NUStxR4zlPNtF4BknJO71ICjIOzxNxhan1oKhlEDNK3cH5tJKMPT5UMq1ypLZmaFCghp1T3rDjEUges32pFO3wBVRpoFrD1lA0PX+aGkbUO3HLdkIRnCVzNtw5mKAtle05bAL53mc0XwJ9ALxDl2DdTMsdZ7TZeylE+KKldKEqlsXoTe0Z2MSpq5HdAXnblPGNPTRmxv1XnZ+A1roX1UAM5t1/P62TCT6GN35P7XUVRsAsDab1lcqlJZCbk+Bje+9o9VLMGv7V9KUzUuvxE6UVlEflkB/9kXvalQkF9HAxpmBQqkkawR9lIswpq+////Y0STnBmpAPMPYQDqiTdGvy6PaSQanMhXml/Ht6j6p5eBdKf/trdGJm/j42WNIxayTG2xNFR7JWOLJcbCwAK47FVEOxPL1TlYW7X6Zncrl2CQwYFZK9erf3xtNar4PXfAa7ucg5YZtggq7QFMZf94ftnHo6nKmsW863L9Oj79g229uRDI4lw5lC0GzPfWWlo3Xt7zpkpqny5B3MJ0VE8YiV1x0uW1uZRJrhsq6OO5UMaNqfBErcrH2H8kxtqJmgB+c5HH3NMPaT3APniKjPiJY/Xt7vziE6knWTbagBO35zYiJXJqZLnlR8c6GNPqjXvGvMyb9STNCTeiIrxDGNNp6hTC4NAxJ7tJfKWXkt3VYl/tezwLsD9mf2yhoq9qeuC+jfaXFceZOIMLJNKnSyWTmUZYi9BP2DfTol7f0AManUdNeOuFy2FdlgjZSXHpvOeLvi8LaAoIdGRz5sUjiQz7efuPvdSd3lyYMsEGHXnq0d2d/1Y193v/4ijvW8PBB+YjvAVcnT0e+FbQDhz9PgnvjwFi2BX8Psf5YTfbuWdqwE479zO34q3h/NOTNt4Clo1TPd4KrpJnjzSxC/7bl2mJi3x4N9HxTHhECcqxG9i+d54iu63vKxcJR6kKJnAfjf76pw/ONnZv0UNhWw2ltrCCoAjs9PSCbN/Fji/tnbF195SLxzT//v1vd/fqLfEwQ7/cMXPt/ev6tPfn3dG80m8l1a3fb25GJOfX/kl1Huv2g/oltHtr11PEHtP8L0V+47BUns8eVreceTTZKiluOCLu+qd0tINy6GQ9vxvpjdKnW758SVVNMNrPdnOc95znu6r5mh9x7ZdoYpk0TZymC33AKqceNy/dCMrAC/KT3DcQYzaN9brVXLM5PuaS1GUuZaebF2CiQXvxX6DiTNKEVL5+TqGcuT4fk11fp7eZsdzu62LBcGkwaBd8ribN9dnpbjID+HudGVNHdUdpGWlWC9aJHzAYEzvTTrwQYjf2xFIy85IJz8hCkTfy80xYrzSWIMh/+i/TOQSGqoVhP32DlieLQ/oHIyDbQuD2Rc9fJMZB6hH6i+8C7As1HXyJTGGAPoqi8Adbovof/kqn+Iuhn7cFKHOdts3Oacbzd0AgS7koDKuXZYyvgCw5ejylRU6vLFJrdVSoTYHGU/EykGmKByQIURZz4EbOEdkIOLWwer0RI5zhppdvw8gKjQBrDv6x28xiZK3Bvw9dvRzYTlMZba0KDfk+grbOSuAJepFD6HJ8T5cLRDNb2z8DXQwOFemErMo42TOkDJlXpWo3t5f5QYYnGE4gtf03QxU/4CotWfh9N/r/sjpPqqgWu2qtq5K66qSzCkq8vIilXjbHD5HPt3E0HQXLl0/jP1vEdDRxF0NuqtGYBlRszYzyZwcDxecXiPVct9c2z4M2P7EELAnfxs5k4yDAwcimdJYcT76AIrdZ04id1PkSj8yoXQmruQ1gY8/2xFw4jsPqq0oh1TY5H9pUGYwG7jv1hH65sgdp0vzJ71lU0X5oz0nRLH3++9n+AwwXU9Hi1Jh3AoOch72amGnoz/LK9ySGfby/g1hULrTXnvqe2b9t6/bz7o6M0eLB+ofus2zo8xHJWAEdNqtowsYSD82pAflTiJEb2n0/0FlP+l6HyT7rdMUkvbTVIZpa69Mr1lr2HUMfS25p+rslZMt4MV3OJ+YX7LKX28A1cMso0yX2o8jWTSU3jVzKBea6ZMpRjO6eARGem+1d4HrMf4xQdTysylXC2gXzJg1Ow7qwV9HmURmiPhID/WDwQZrErIRkENyOO/GlWUCnwE6/Kg5W2io3nBZDEACxw2bgtpQPcbhwTZsaEhnTD9CGtBxt1g7F3i3+w5KQ3TbzOBVD34v8zd0eVEF1+3rxBJdthLi3uJq/MrH+g+b2lLtx70Z4eo9k91kjDyJAyWmMnnsBv0LJrWC4eJzsNaSk08GhY6BSm/4Rw6GC9NIOXJZq/hEmQS9Ll/gY51vkayhJNP0Qb3cZFRRFtSzFC1FRxHoMEOxOk4ipznjlPvNxdvJMVW4ItswVmA3Lq0Pw9i+Zp1hZ/oc+7Xdx84/Ap5PG4xocE48uHy6lnDUAtPbD+xc6kUjo/qH7WcQQwb/SZiOWGCE/PhxvMxO9vPbDTw867Xxo7yrP9USdmM/VlyT/vP07Z8HTx+PT9y9Pv58vNFmdwBWWPBxqiQ+VgdONvyyBCydqSvMy3Ur59+4qHRdPi9EmLonSJW4UkWpCXta1kaZXwVfdnau5TiSzGWN16oPSNADCQ84UzJijPV1H+rxF1La/u9ggdxMjvn6Q0hE6a3m00OXY+y/K+9aSSTWTqvCtqcbWUzwaU0evXIy3caHNp+Pi20ZH1N0FkfS3J9GyGWGLqnVYpC+P6QyCX1OBY0vsCf2r+321iwmGJMnK4e3ecu40+3GM2PkOzPd8vVnDNwv8Ik/mbyhrAIWzh2X/YtJImy0YfrL9k0j52QMjf25LakrVcrNqUVz/WihUbDW35cz9DKvWF1/X/923ZE+ZtEl+rpKHPFZwcNkbdcqfQEdp1Lgaisc6ZU/UcDCGDfe3UsxpOxHLLvd9Xjxmb15q/g8l+4vyOnYL33Gpn+Wtgu4gJnlhyY/fELh05nN7KSBfrzgDmIm9cvQWi+i6EOrP53Vvs4cRtC6ULUb99dqmWLumOEDyFsdjyEiICcNh9KqCI7vszKk0Wt3w+pUwAQ9USWVCdjg9cHVj21BlM5duvZbfOepfLVuqFl/oANcbb6m5iNgIBiyTHSe5KoKIriAx+d4mai0Jt+y6G1rA8Oll7Y6LU60zcs4QF3+nQA+4GoUyer/sZ9GtRTF6sObjzsvVAPhYJ5rrKUL/rUfXrv7sbX3U1UtorDJdjU1gtoSy8ioRuFSNki4e5BvmBK/vUOBj5q9FkUbVa0PIjQpwxRfmlCzvujuYw3EVA+gkYFHHVwUts8JwHMboYDn+eSut29865BKBAdP1DKJoq61SoP4qxHr3MuqGIED6OErkZe4KNPXYUdgADk5m4Zm9bhrNVVqtxH7WqsiZNVSgUIjTeCRjY8z5QVvu9xN7wHvBHwMUVZnIq3zaAZE2ZagZWlkN9OCaiyzthLUehIdbIzREM3NsLViS7LCoTSrOb8VNMFSpyQsh9SQhMnMhJ7OFGn+HfjBqDwShOexxnOhKJfoDEQv0sR694OuiOr8iBVwS8YYPzHE2Qv7UWNVLpQ/QgzzMpRIQmuxIMUWBWMWRSVgMoAFVuaaQ2NzjDj1iFIesPdp47yQGLsRk56Grt12VNIPQK9pEGQyJmSQprZxRlNRjNq02Q10ynOlox3jfmZ2qDd+q/d+v/3f+G23T1XL56fOvQgI9ZzeJW0fiE+QfD9w6GNNZLm/w4BoYh79TikVpO1yEFhW01tsjFpPbQ0EARlfglVkcWds3iUGjjtHuxaLoO+hx7zkRKp4Kvbh96kZjFA6R++LsTfhwluaEYU2C8wHSB2MOIzUfYc/mGhZehF2154gJ25NGddy6xYe+7jy+hW7HUg7RrIbmcNQSHh0Dv6QI6CEbwCUf/yyrppCFjwSFGm1dZrYjFYTziSK77HnY57SX2+Rd2E4Xs2QYkmsX6ULiLI9HWwe5tDZcOg+TzkXpjHaD/i10p5KsrWzYdLxCd/hSObOovmoCTElXdDc6L5qX6oJAI1V7jhd7QpbFLnk4HxCvtx2Gs0a/sX75dgK6F5kxOrJsgy9Dp5qmsvPXskSJkc12+5xf+BqaxY7Z5XeLFIvS1Z3TnLAocRNzgLR4dL2ZzpH7OhjouuwEQyzUoTnm4btWqhuu3shE39K2G6CqLKyD7xRQT3tTXrVhzcvt1MDu6M1OhRUuSn9bPfWV27KeeEQka0DqZbnpvqDB1wbsbl6XZ7M/SyM0rn9lfFWGS6eKtSBJH8Z7tYlFOel/KcnI/kPaoK3KkK3Q5I2o5jlNPHV6KfUh3rzeggskAivF660lLSWsJX796/IvfpE5s3Eake5CwyeU0BUDm8O9qZ6T0xPovIk9MzNoKi2ON8qvlGLrRh0pkDzO7S2bkeVPR97vQByI72qw4B6djytpDmAItPsbsW225w5rflqIzy2l0wwjILe/0keCVHwE+CxzmchtUkLZ4OkIe9fyOwyqlQ5outL7AzW7HCgDjZomTkWWcwagavSD2PJgo7Wnc9961BYHM/hPylqswSFFu1BmloPHQWV4s7uLrp6K17yg+BBvcvJ/w5cznHSyJIi9Z6x80O6vDyrXcW/FcuOY9z44NuONBiXHRNmU+QVXWfHfcmEk6rdwjofelJPh8poo2MK7ojeDUQnDwW3nwNh77aPfu4/hz2j4QoPFQeH38q4J4sNV6Y237niHDJIbNSzcfbfqvLCqjwQq3ZD5bj0D72CZFDT/MHcYKW3gqxpJWRynuCesPfKt2WvrXrlFADMUxQXYWYlgv+ZUznwPnJY7a8CwIM/Z/Z2fK6jZZst1sLp+BTM/3W4Jxq7vVCaSIts2z/r85yRXLa1cNczl+rn/HBlCrV2NrEeFNGhk1esW4Z5cH1YFAFaTglr5TCXef5At86Vxf0ICfSjI2lP2L4XYgg2nd7cde7R2JOtduWT/E2KPEmbPqudC3pllL2nmoX66zzlpiOSKtTSgEB0sBnobmgtMmuo0WasBFWzsrvN00Kpd8YsqBsBpYUBogE60q8BJK/3XcLru1wSi/wi3M7bdknlnyQ6U4M9r8fjvadzz+wlr/SNdQwQduF8KLX5UD0EtR4lDi/EgxvsvbD1DXYn+2e9O0AdTjSBApgE+ArR/kIfWdFBI4gpo970NNRWHIHzB5UwhnPd8MYMCwkIA0re/0QlxsxO73jFaQCqCzcZbJYSKTWPgZDP6zEluDTynzd7FOW5+6kSV5By2tpUhbUOKCFx9uNRkw281JVA7l/7RXIpzz2hebp0o9NXTsofX1reXz15ppvmJd/8HIi5/8YzP30G5TPu7grxPtrhZXFzjqGsiQfu95u85TBI9/9Q5mAA46z7+6I0ARD4M76wI4KYEjb6y7t8+7k83JN2krEO2fmI7bQSZG9uNXWyjHnew9RAKDC1OcQBOykMfJscztQK8Q7Qj8Wuaxjy9glcYwPJCASONr2iBFKxZ2472bZfynoG0Fb00yK8ZgRDbJLMxzL/hIpMEpQGD1Z+cTYVdWwbPDZltYgM5J8mQJkRnfb4JcQnlr8+b2Wk0OwkNLyakUWFYoh7ylY0rK2nBHRazdSqsQkc1m1lNOxeOx+gtgoxJdxJB4SHK+LE/p88AABeLuwSoWSE6HySwWlXWDB+OSMBOgCRf2HTmR2/XJXqfiYxrgCU5avpcmhQJScQOWuUNkOc6WJQ2VQ150Gkq2V7T/Hw49hfGC9IY2MWOK05IWCdBJN/TNCPRrdeQ1p2Q9b/KWoDelb3tZT38/hDpzxHoGWr5GOQDIZD8OTzFNgmwy2Cx7PP9L6HGtmQ3EEtL75/tRdtIpRzfoXzbUpHepUwD+5Vf9BkSfnI3hMJCHmyUORsk0gu+oAGe1KbLhf+y70qY7ouYdkPHcKe1+tRPB44RoCXdQWCEcTkIuUcSsbRDBow3MkWwlrLOxVSwdgDjDVCoH6ywEfpy8o/VArDL2ClxlrenY1nHE+kUyAdMrhRkXPz+sehyXl5+HZQVYu67SrLr/MEEQWc16yQazzZEJzw6OzW6NaUc6wLsiPbMXaIjKpedLQmhkXgMLE3FrqDzMEGoaCD3dr4X78wIJUBL0EkgrBkmSahhqATVHGi7rNaTAB21C+3R8btfwdg5tAjPnShz8tExA9BV5J9yFHlHkguaNe20CK7rJboLS4zdF1LPqW81S2ySGXToxEJYr/0mz43CPNl2/Q1AJLLzO2BXGBAjkaZ46fcVl/WQAAVSxDg3jFU2kDkdlqJUUYLk8O746LGMOgjUpqwjoVdofVkPfzxEEg97044rlkisg1b6Y7aDlVtADnIRsT3PpRu8ANJGSXhqkhwB5bZ2Hor+LqQHBTS5HSmCpKzS9gDpvzx6w0+/ps5UfCqvhNfwVefoQr5T71wU3r7de+QRhAwR6yg+7Q8B/ta6JwVMpVj0EoQIuBNOr1toUQZO1XuiH3T/7LZFyC0BXV8G8rxEHnw2bQMBcrHXSle6kI+2Z4vfniTZklL0x0mt8MKeeLKaBgvJYwIW0dvu28o6gpAct7S1E21eEbGIpkWuGMfpu8JytdKGfGsZp+4DGZ2Ew+tU1pg9CADCwzUqjJEWAtYs0VI+BCpkuj5J5+FrO/oVRCHIdTCUAMS0gZV/sXQ/SFUqmR1kKhhUz+QoEBQALFKHsB08x/0U5MGxBSyHDNEeluUcivGNYRRxmJy2jylW5iJqDqGTPr/5B8JuNVufQPr1ZPna/PaWiabqGY7/Xhg3jsu6xR2p56pkUOs17hpj/BW8A2XB6Ftdmd19G/qi4wjY7HLBsrmkW9HmbM6oLA9Zs0Cmr8LM/RI+uhyYCM4J78TQ+dT9+a79tMe11JEz/2XnoBJxqUA/l62qUZJCbCFwvOiL7/ikY9YoNf4Cq3lBlgwq/qAUWPFj+CkJSVJAQbZbLDpfYerIs6KzeWWCd+6tF076dOThcEtHIA+XKbN4tXb27u1TJlnoMvokJ/rCeKVw9jVyp0bOsv38DUzZ0DIUsvsiIE+W1DgWS86mzpgzDyNiigCRUZRItv/dSjiTOnAQRbh5s6Xf6zI/ddndxPvpkS2VKvvhJU5AVb2X1lQ9Erz7WR/obHFJhMDDXfCY+EJAKXcB6zslyKoCsEasD6s2oKtk/GmpHPXq9e7tet4xTMaAZB0PIsL5ohB/K2LGyi+Jw2Pdl0Q2wFSbs/bKzIFtdGme1CNW1UmsMJxAwyPHpyktYNt8p2OeNE8y2es+75uxV9C4VDg49qlsT47jk5bTFq39/l/8xt3l1K9GuNh8acLByVEiCjGgA8TAhlDEy76Xp7d5PbRmgeVBtukwdbilIEzkvjJAPH52MGcX8ZHjChU20BeR/HJgMPG21eu2oS/1tuZBs/AUQ3ZsqJ+/wcRgoaOf2pYLZCx3mHpM1BD8FzsMHJyZVtJBveFug9gshLQOm3bffRJyP0D+ed1l3ZcXOcoe29Jqd7XUlfNaCz0t80uomTbmFa7aVuFecJ5IKDwDxjXTFnhp5+iWcx4T7U4b9QR1ZtFJHbi06RdStMGiXzvrTwgZ4hbdtGWYnBDO4HoWxfAEgyydVsB4+dCj5k52Dke1c500tuM8IJ3M5PlCYi/iDMEx8yrNo6p9eHEftn3nMQkufgjYHdMnVkwJJhzBtF4FNmR5lZUve7kEhW5TqFimnFbb9LKOikLPysBZEI8Sa3Y2JxwI6xR10sIwnyNhgRttG6iGet6td37jutRWB15tYIv0IV2DLQ4IB7k+EDa0NHyK3c7JtWkjxprbrG3PwuO6E33VJBhSc82W1WzicLv/Q9VcPN7ibNi9vWttI+KJlProFW9cDZSFdVFQW88H9p/sw0PrtuTyK3hRHler/3H5pboA8tlEYhH+2BHPfw6LL+q7XRx1ftRd0n2raPFFEcFErH27iNV4oOhF028d8N+YDcv47QF8nAMmf+E/MTu363XvWWkxePdfcJn77rmLmyxlbJwctaXuWH0BS2OClKDlPIdd2dJUULNQcsVIG0EQsr6C+YSOmK5lk1xlenYzNCQx7JsJUieB1sU1KVQECTn06kFaA46k8oUFyYkCpF51jRdHo5FtX7g/DLOGc7ElDxcf3OrX3VTzLpkfXiHMeN7qBVlO8NkK2WjZAgYJiwltHwEALJYUwiAYQr5BgJndF7ugdgVwYtsWyn0iZBuDdwoACvYGZhds/ReUrkeDhjWPPzoZ+0RIp7CdYqMv8h142SAZT0DOgzJn2JZkZtqhkndFbAGwiidsb3HrpfFUqUNDPTGwxrfH3Cb9wGj3Rs99EgHOMK+Mu0U0ysCR1HHVKuP6zLzkuDNcu/dLAflV8ICvpmOPmXmB6d97TkbPtRIXud8IXzpJGgv91kcCCxyr8D+7zEwDZ7AuouNwrHfsspgv6SYHVjuw8E3RmaK7sJeb8mWrt0a9iJB6wn6ad0aTWxz2GOr37iHVcRX037s73MD0Cn3l/OY1l9/YX9402xsRb3/+SN4TCghIG7KsTVMjbXEtRVbWVFz+s7/xjvFckFU0lZzq2gr8pz/ErK7ctvt0ZSYo+1tXcfUhL7F5pEH44HxTdjxwPi8MNgxekaitLKpqp2tv6tl6mYQ64IUNhlKxnBIHqP7TnO0EeCry41onokBCI98VlsIc/kplhRlde3Yclt0xuo4FuFjMC16pthwfTNfoirfoAl3Vbp93Jt0bV0mFwLlSHtJy/33qoJnDOPz1nP9WJcTfw79R3evf+4JtRM+Bc/U6Y7t1WXbF195PGAMOss0HfBAqE8ZNREIOwE0V6JMZav3q1yGZkMFeMe5Dx+zfMgxz67/jWj8+2mf2meMKfYIWcsanxH9jO7nq6QIzgkqIYNQ2GqAFBgiL/EQpiljcapsopI+R1Z9Nx62k7ud7q4xaRfrt9gzE5FgtP/v222mYSMCgoTGaTsgSDVbMs3qDLaLtE3ucBaudH/RK8X1yqPanIQTz5kfEd0B5vi7eClyCTj+Mz/zYf7RZLWsMTqq4T8XkJ4YbgNmpgYo2PCNZbOB+HX0zSbd8TNgaMmR84tmQkf3e/T9km2jYRW7zZNok+iC2qrNagyua1okU3JG9b4Oi8mK54Y2oOoqXwtPx/okfwAOlj/ajtst/XPbjuX60JWX1MtULP0XUg58HzvUs1jCLjNVtDPrZeq99RN82TFQxKzQY7/rLexnM658cJA4b1/3D1dEW1xCoCwhXnqq6+DZwq76AolzjCAOGcdRiyxqe8rL+mfIjomFiQKZArqlAlNq9vt1VmnpBvypWX44n/63WMFmvfjWy1/itgvmZ6er4i0eVHvr1wytRpJMOg71raDuVRDS8pAfm0YVMtBU5ItCXjeTjJrE+NBNmdVEmseHF2bG93qYGTitGa5ShSR9fkUKFlyEYkh+cXWf5ZIh1TIDG1zcH+dTSUHjovd3Yd65Ec0wMs5+4AsJB/+l0Pp0DOP4jkfOz48ej89oQsUoYRsRk6babcwUXXrrur5l9xsPC0eiE6Jp/A4Wcpn/x7s2X4xr8HdJBQJAB2mxrcjQyDd1llzQ/Xc7xLr8NQ4rOLE5HwN4thSB0EEd64COGcYF+83e3BEFoB+o6tlcCrSPXOo+JA5N+dGThzEq6RVgpJs7tqc3Km4jSWDyR8vE0FQf5TbZPYFDaFQev2k/gHn5sDSm+HqTu7TjpPcJKh8Cx48USAgd4oYM0jBqZwpe5fkHgA6u64a+iWGNjodWz9ZEerFNrWbl+6l3xVWfyntb4KWbQjVeO8526lcKGE7+tm2ZtuEyYj88dTxUga6vv8PBcR2HzutFYXX/qIB9efY2TOyI4+OfkAr0C157utqhHc0A8HNTPTpUOUZv01gfg/qhPG2pASJXLJjyNrnLNYpO8qNPo0E2vlds8oQxvGxVIIFeXJp2rWx1ocN6feIiGzOnlPgJStGMLGTdEU9Qyg13Hz7HFstzSWfcKuLSVLICwjeq8edxH6om/p2WEPkTVnrvLi6odeleZ72XkT9PLyy9hQfbpEr/+V+M/TZvbcDH4WlcVNClLdvL05qOvLk5rfgJACwdPyI7WU4LVfOkMgClNVsX4bf/+7F7FvqYV8gpTKLCyN11uIe2/ZAFpWarwvO98/buW3gJLJaLe/YcQTy3NoLD+yOkwcNcGtzglutr1rtHkHoFVWbeiN1TTbvyarFC47gkPX0rDhq9Ci1zeJKQKZHolv8sMkrqeEdlTqdoI7RCINXRaRjHuSwN3VRcZJJf0M5H5jtFFyqy4aFYa1hBPGjZrX5GxedQuh+jZy7V5W6/lYeYJ7y4l52vcPaVSaRNxxhxdwsv1+d1+kAYYaWSBgrYjeXg9n880oLvUlCeo6G8Is0iqoUv6ATsTSGAvbAXvOxYJ0O46FS/hcRDDv6G37lB1vH8mWwZ8OjOQbVG5oOqrpIOAGaPJ2QkL65CP8aAVX0LmQvDV+x+s34eds8a20NbuO1p8ka1IbI+t2UUfWuQizZsGwwrYjKYutfzfEAOYeDp0tIM9+sd468MlBLzwGDhhqBh0MMtiq4knKWIFI3W0plvq3nVUx9lGwwZ9axOuS890IjWt4d5aaBoU4Ff3F6q9/u3fT+zeb9I329FBNQ+XtcVGJGzUcGe0pvh7c0NPWIHXx7SCescguSxTwy/mCeA0puBHPu/WiF38DyQl83JtUbNRcIVtrGrxh8nOlG1RdeA03ZCM7PmLM9nMDIAsnaGRPtomK2PjHCi7ZTMfr7T6/CTnarJtsPE4dv4IRbLFByf9Q2yrnN8kyqTcvzW4fEgFuezbBkqVwWlPzesPtml83hRvJmy+h1VbRdjAyRRTVbZs0OAdVrd2Cl63+3lz8r6Cp3DUvGCvoz5DV1AqJW3UvRCs8qujEq4bQF2xmnOcYKhFPoAO7W3nhHNuu+El2wT3WUIN7abdXKirWzPK4Rge0ardLDaAq6FmiPAeXkMv4hWmEEk5S5Nj4hFJmuU7Z9GmNfSJNslNVueOwcjqNqfmQebC2xIshIgyDslvnzWgpeGhR9R/n65CQroWv1IBfd2NTKr/Gb6n8tuhp/bQrdd578VulfsIz8eBcW4Et+fPNRnAXwzKU6lydQ746vMnX/QsxprjGND3PSE+6Toy5pQlfR0tuRSgsuWpQFgTM2q2N1tt9EZCFWE4fjtSiuiR/Z39TZW4uX/CI1Hyo9wr+ynfO+HFDJj2xOcZkT1381ksoH6B4ihu5BQEUxqm51iqqucphmEQJD6WU6g4oGJK1FbZhlF322U0S1Fb9ZgBfq68mEsO+ogMmN+qH1ZccTL0Dz7bqGUn9SL0+e6fhlDI+OkVf2HYTfdsFrXuPe159dX1PIzYAOwqiRQ74K3aE48HEGpdDWI2rPr3J+mSqKlcPJMnuBo79XcxmHdj4nFsww7uGo8MqlbjgNI8kfdAxSuiGRbXzkaNLII4kAB+/DuGk0dOr/gvGgXofFXJoBq8jljIc7yXAb+NT5PjOdf2n8kfu7gvTEZFOuOadgaK1Pnbmo6QVqkh2xxxKcoYUk6ZOIgQEFiATtV5rAiRfbrx7s1n4+7Sb/f2P2vDdx8p4ctL5gu/cVi5YKpLxZzIUDEZneWIiuiW383ofc78Z/GLwdVs4L04abZKItepTWvYOXlcbz78yc6e/PcnL4OVqNrGEginvXlMMqA8IjucEUgMPQUPRAQQyg4jXTZaVwLtS7nvBYwGtn2c/oK9gFRnODnkmxHkOQaZbnaSTo+7x2ehvlcsDXXXNJIglPsKLtJSCCP6LW9cNJz9CJczgSg9V3EPgyNZihDfPnZjo7xWgPqIQqVI/R/O9vf1bx4q17w1UcVbje5U6+i//kwC1kcUBNHQfDrpczNN27dlhlew4FvVEjoX53kJcxI4nPVTwJgncT6SIf7n0fNlIYBhLs9eorXpV6vo3QPz9gi5m7RtwPndVx5NH1BMybDgkKhXbf9+qMzVExwusSX6ysq35sSVOep9ONxyUR2gxFkkbBas1uR3lmnWiVjLeCIbDtEys+BkhJyULoKIAWL1NW3Qp3nMo6gjCEDtRMEn2Ep9EGie6j6+kAaz1yull8MWvGk4LQfN5K5Tp/dcUUilKSnq6yInKE/0wvc3VBGCdHa045Q8ghC2EKCJlaqnrAQzT2Kj66NajqkVBgCQRAlCGbDcNr7G3QCh4M7oTNvUOmPHw4ATKQ2dzT1ubOoy3eL8dkHfNT/q4K7m3feKxhWIUy8ENBMWziwr609V0eYVT1v9r9aFwMYtd3eXJA7/wbM+KTPBfoEb0EBvpC99iYYFthDGd542H4uyaE/koROM3ampVvh80X1tbd/JpoVzbMUR39sMdrnI15586iK+2zPuFrldDXilgTnEkXJKl206tc2Z+ZKJCU/XPKuXP8vGhQwyOJ+lhIRkkoShQW4S+isYHiaLTTyH9Ez7ihI/YTW1rLqVMVGfMbmRaxRFKzF+RfSjMpaUQk3g7qNoNggKOwjwswU60XFFvlkki3Tx8ovpTQKEHeuKcpBpgr/eSeYkz3YqLH6Ryp+E0eEzqUqI+PqHKcdFzZo55WFFMnQgr2O4aEQbgZOgEFRBtklQKKzgbRwKkiU+MSpboXocYjrG4HrewpUhOxaGRcyzbHJOqWDazij+JjzqQBEw4rMJ/TTJJx5LfCzyqw7tJgEjfI0Lx/x4vXmGMuPwMqUOfXcCnDzHjNOfhzICu9yZObTzytP6MV8SOCngVNh4VmgRk3JAEfPyLevHFSzddnAFKbd1XDeXzexnDOQnxhl4W0Eef8Zlzwl16OmmXPIXVVkMB4UKCMvuXACLOKBELJv4BJ/0uD9XI4Q50ve0U63X62fxhvOl45/UooXrhvF6pxab6k/K7OQ0PV7aeACse3bdKDluBETb5p54euLkEyTe/cryEFEPDvbf4jBKF7rik4v4g/bkNOFN0td4deDSZ/pImdwFqaE7GKRmrWiWvoahn4Op9yOXjqLR1uAHrf8mtSvpbpF98gh+3tVOMrBbtTTI1WFSCRP0BPz4/xNxOCjmnMZJM4tu2Chnq5BHd0KbKmLVaGDXuVikj+tE9HPaDldi60DyyyMRt1z7tb9IlMUMcIC4s5pbjjzlOzZctJ/Yr+UI8dF4z+XH6roVkPgC8wpTnSsb2rBCc28SYYZ1ate/cwHYYM8E0EewWkpingWbBzoye4piTbirTZSwYOznvjk5wy8NhFtHLzMs2qc/+wqknOFpHXmaOXu0p1q6zWXtUmzDQJv4l8fdDsz628y3evc6R+iPJGrC9iEPrdBMVMF6Ztb5aJctCHn98KzAfdb3ndOcOrzfzAFnM3tg0w96cZfV5axYuX2cdNx8aNUN+Km9+UOsv3q2f/te8LbMOF562dzPBkhY7rs4e1K4eN5c95LQnxToDk2UvMDB+scIHZgEnZF2wtYM7qfWdSUAv5q95j80HQml3AeL9M6Gev+qDvD9ZvSCvb4C269SlaLPPBXp27M6yIa/CHKExBWd25qYcMaaYpAq0KETDgbAXR4YsEYDloKtyL+ZW/zQDn0Xvb26/NZeVn+7dPK3r2XzpV6Bxf38N32cfbZfLHt0Zb4dYTb/Og8qQ4a6Z+7/HRQMY8Of4LXZRQz04Jmto091knNr84UK7vFN4Gu+frD02IDQBzZtgAiVNMMdEfb1b1jnYCWUSwYOrqird5vuXW2UCJJ5iqRrbubrg4CLU4LN99OQt8sS0m3cmRM3zSSDmC4KwCD0xd8aladFoest/IbPbq6Hq4fYDUyIS4c/Fp0YdPGEFz1zBzNcf7z9iK1igKV2SsYLFonveMFVFjyw9NiZfnzu05sDT3rrrgrBF9KFMJpO87W35ScN88V/cGwYh8SRMChfWEkkhTDHTmGIxacno/JR1RetneUBjAtRgZEtFrAi5jCLY6iidlTV6v6yhUlVvttQn+5TJcnaKc1GliKGAZBVBLrHGbXZzVww47v3Q5eBymu1vpJwN86uc/UJX3mTuN06bz++XqDsmyBrBJWbEINlxGywItUGKa+pwKcAj9ne0C/JyIV7WLKCKLkjcj/jZzv27W+sgBIjrAU68/T3OY8+g2AV4WBFjNVfZYhteEjtplG18YSTWhs/HCPr44kQgi6Zqf8NUQMIi+Ip1SaSgPjPRMmg3hhPHk96We2QEtWqb33HJHu5ahvVBbGxkREcrkcS9CRvTeijn0REW9ShCK+lhgXYPQajY4FAO2KFWYowDIXZWuAXD2BxQbq5tCKCXYCqqZK+pt4tGZysJcDaCKPRWABkEzcawUclq6YJ0aK8VWVFataT69bep6YrXxPc0UCaFu9HUxf6s7jxxnSFZ2fANu4vuKGbROkizd5sPHY8TZ8bAfN2EzU0QdaF93C2e6AKksLZrbpSNfFl/cbeBfuelijdW0qzY/nJRNA9z1K01NIu/IZuypjelKT9CHrXJTeTIHPlWMFSWRM/prmTPDZ7To3pEd7Lu2TWKEhyqVTGOtXXIIzZH5eg3qyhKCb4VLYYMYSLARRbrTkb3eh/jAkWQqRfmiXs5SPHfY5sCH2Y/SRbgCiYJQ3Lb201oK9od7DqZJZYyrOyqYiaD43SZ/mPkFZmXa5pspEiYONKr1sSKsXG4YgQQ1tthav7rC1wfmpY+8cnifVkzIi4FoqEfcn+Zn3fLbYbY67ptdSXjGd51LI8elmEPm88N1R2NKHgegNPx4LNkjLyxpvI0UltWEdiVLyFHQygdVktqUVzRvWz2WpFJv1ndhQV/F7h93aRCdl0ZBLtxGgKmVI0kccV7JrOAAkTDoW0VTQsJDuROBTRaWA2g+pU9YXGlh61fWOTW3siviCrosPc0zZVwZFLrgoIeOJVNvO1qvKykww/SvMM0+z8pTd3IURE0azEdBPbiFcVNVjakTSfjy32xoImFWEaxTEl6NJgY2/3ryWGg+fsVLvoAEdrkuQBwR1N8BNyJBYdxqawxTQHkZfZ5r8LfE4oSpbclBSNnMVMLsGkH9hRZ3dUegzwtXwmyshrOmDtKvlLe+SHLjnO6+MkoYJr9ltsUW6iuQ2hrbwAsumW9KAwxtWMEXueYPPlxzeZiEwEqwyslM02oLP3xlk0CR7oQcvjm8Cl8UTXJhd+ZPOhSVoECNaSiFHmFrftzIT3patd+yvDBfom2JqqJ8F6ejaWURhKzmr36ZWB12ZMdlWNw97aoKdSXKSgek2K9ujmExjjem1Mge/OfWDDmd9c7M7RcIIEvUM99/n0SHW4egBBWa6Bt7QSBGJM56w4++WI0kvUh5hpUp8CdwBclBLPe7au+pn3zzRRnnLUWSLWpH65XmExFefXZYzrmo2xfT6LOf7Xh33dx+ia6PppL/EXx3a8daZAiBe3mtt607MaC2m3Oj9kBExV7TIDjbH1rifJZkkTJVY3W0PO5I7He8tt72NQ8xONV1Xl3npzwET6FQ604yoIfZ6MAjtHRvq/M/atkxCJskOqxTi60inQVJAwGOvbDlsGy7EqqLcfeB342Z5XoRAzPfOt5ZK9e/cJ4Nc+KiixGmddgUFtVSjefE+DE4jt7ZQva+jEH7+uWbr+eHqfIG6MBldADek08tCxwz0WrGGSlyen0J46DDYzWIGjMSYAI0vA31BIX0tvkFeFaySEVCYj3z+NlZTtMY5AWdfN3jfza3x4IXGbOzqf2vP9g37i4obW1g1VjIisyy6GA+U2u17GakgAG333sOlB6VmvttCr+7Yk2+LKkpb2u8l4kXbzLmcqj/5g7aQ89Jh7ydsC9dpq1jDUsLZ+IPW6g0FEX0f1JF9FB5Mu17QUFGwbke1eLfjJsJ4n/YJlfKLlBfeRzezeacUqnI31J23xVWafdg4FWEKRACYVjxI09JSGc146sPdFIvlKGvSKGw91rAIRR+6No0/hXdbk7OvaJRp9u3cQtyZO8d7ZNXxGG13/ahsGs6yULNcnY17jzUl10bHhSrY/stE95D3jwjFy3Xlatqw3U+K7Z/QW1c/Yvw6wBRV1DD9jcOsovvgj5R3Rxvlu84MBVaPOlgd5S0Jhn9GqUNHfp6luo7fKGloMq1uSVtcQ5Ps1zhcKqsJELVU+RqKmBAYEZ+fOLm+UgWSkO18MzEpZGBRwAsnmtbWKR5PfupDjJRpVdE6NRWqdWow7hvciuc9zujCxSpI7P/68699ibcsqmHv9sVO3GTsLhU1gZlhj1BNWWSu+Bt1FOHppI7Wx96YDNYtefilO5CWrMhUGOu0XgbzmiKrjXmbPo0nCseHHiJ97KKFwxu74iCm0zcqFgEmDHYvv8/QJ7EA5Vw0dKdsmLBsHN9pM61MYxt+V6rMeWGwyRvL3LYHl9+GBKIe141M1Sl59ZBsfCyiZizN8ixnTfEGsG2PmsMZfSP1L85/g0gJx4Eq+DtBo8sTuflG3/wbeRDelKTER4RbxZy7VaF8S+haT9SMWhe4rJ5YzdI4tgMdHWjBiWfDh5KzVfyIolKPA7vYnHfIIfis41xej1na8FkxSs7KSKCO7vbMx23S+emAabwc8qpeL9xxTFxevoLfQyYYQzP8Bo7YhTAf22po9ijfDh/o/Xk2edtgQBIH6zvPB9iUhlI9CANeTi+XXt2iEA5+FKU8pO0vkSgicjdzHOAy3wwkJqxan+FXblLD+bxwZgepZQ85ZFHD2gD+3y4OQTX9NzhhaCR7wqjEq0eXH3lzed8GFd9ZFX++Y+NFcMsZta1cQx5wPOjvsESWvHROGFB+8TInyU8ky7p+c7Ib3wXn67/8U8lUi0w9H9EwWhECNRALh4f2aKx8yJmk5yNkwWqpRVyagwlcmTFUhcaFdoXiRXyeC87ySE7mnmgyMFPPgQnkomKHxzVFb6sB4OCzTcEIA5pnAYPNtzMb6/ymAYzut43E62Pd4m3DFSlb9ZUCnwJbZi5KJJzz49vAlhw2ElJH3IQrhnfdWfX5LXLsvXtsYHI3KYoGzUXmFEf2T/Ghex42strKyVs44O6OeGXH4wQTUr8RkiaC2tkqN5YPx1UktK+eZY0HKvqxoQyaSnNmWhFG85ozdNsl8EvcAezX7hhSCqbKrZQJv022hEHjFKy4V2RTmbRJ8pxxqeBWnmlPF4cLSYBzDGH/2IYKpSYwkeNrXFi24qEttDqUHHllp8+IYXOmWAogrVfxkUV3fl1tnlYR8B1qiZGQLKvIddluLNIL5GpJJqTZHSp1dGUAc5aedN00gdrWAX9nCbUyYzrVp7ZK7J5y7U6nO20VjRK9z08fmN/Ko+3pN/rm/aWsqyHY31eW+RZi9vXjRiGWjlqgwC9+tJI37gO14q04MqF9krjbtatAgi5Qs2iCgDuJp6QE//vXOD6ClhLRFWe99vNRyNz1Km7kpkD/SyTccBmn7yxOoAbJDu+UJWdE/2FQh5DItw230X3N5FlB+G55GHNgFMAfj16BpwEJDAU7K9Ch4DW4CXb3lhpaNlvpNSrZEoOC+heDcOn7kUQPOj5xWTHoslALUjtIn6wMoGzuRY6/lwVufKq2Agz91SyyA6qU3lG6U1j/KDytgzUhIv2NYMdexKSkNid5fhcqYs8HRlm9sNrz6sM+0SYS/ZKqUynEwpP0CqmKoVn0OtZbs6HTS1kSJy2vT2V2neueGjt/Z0UkLkNv4K4guqnZf7poiZ/w20r7EXLnjWPQhkyoNCR9e1p/2amlzy9h5ltHbKnq3Ab1bRZeZDMhWox001cqFZ4+7szqn7obfKiBWnpA3zRZPUtQ8hVAnQIgM7QRVQV11BOATJmMc3pdUWxGKmWiGXVBlBo47l29D5UzMwekS06hRMAEWNQxzjv4Z4gJuAXP8IntZaZfMZfzcR3S6zUrMSL1oXi4kBNtwHDGpOPTzg0IO12+hhAhEYk4gEiWc8U4B9UcJrLeEUqILkFZ06P+GIzdxFeHw/9C5kGmQCCW7WevRhf0cN0IvEvpfUB25TYsaQd5TGzbNORXg2OFo2MM4VA18/+mybZquTdA1BR3zUB/Me9+ichJoNNSp6tKQTpWDUKHvfheUoJdcG9DASfKt6sKg00I8DWjhGA7zZBeFcPHJcE+X82oUiWLiDBfhipxbLXE2X54Pby692d5+cGNL6SBGd16e5GuB506Uf3xA5pfkmSuvXf7X7FgbYasfj7wxOGz7rkefZuYgyMVndoVY1Dtxqvm5tkuG10EauvKQ3TpO//VMEAHU8dMgNhFDCoO6Ew9oUxV0TI9TzfGrM1tJSnPrCEsDPmL4Rh7bPqHzrqPiLVHkOGi82GbxwOl+C0ttSUbMri82YjEsrebIJ+oSQ/CqkcmUYZ5tM1q0wyPXxJx0LoFT91JzXovHyMPGmucM60yF7WdipLJOlx6F9uGBzll8Z3YDQX4ga0ym/vQ0FhsblxA+cDJwGTu0hBoTGLEspQKeZp84hUQ1ocJ0nSd5lJJyPgqtXMk+UXJJm+VrycX9cyU1Nzq5hQs+DqgPtcoJDmDuNaWYqHMyldhSNQG77YQcS0mFyPMxveBiJiTNdFQ8ypdweuXsg74UjiJz+DUBf1yWKloc4dBYiGsUtS2eGeuVr84XlZaPEs8450AP9U9l5g4ggvFMpHKioNi4w/YSo6MPKqGV2UdX/PiYtmuNFbCaMsg8Gx/VQH+j+8+2MLg1XiNUk4kU9Y7cSYUuI+s73Yq4206vBZmdwklyKGLbS3pxKqFkxrj6rSzSlFI3LvZ/pvSo+Eo9U8D78b7ID4G3zTClvKT5Gv0NuMv+TzMLq9sPrSVPRdrDbOdEce+DIZZkp1FgppNVoWc4yy6S9F7pi1iTTl+TR5F+gXPU9QzMIqupuoYU6rQ74dOhF379jxtwMZZz6GCewxIet3RqWI8X6jF4nNkUvPzkCAKIvESZOKzz73iW2+vLcttTddYDv46QuHsxS9OBEUOX25EiDK3fvUjRAtAQ6oVOePeyhJtcEzJhsHZptLhrVr7P84DRog5UFqjAwbDgEp5OWNCYB82ypUi0144Yy0PuLrh3B/5b3b8vupOPI9pY7384eY7DjUZc59Y4TwJMUWwCcwxdlMi4/gOZrR8EYkvX8NVoJQ8wcWrVZ76A1x3mbh0vZLOD0oV10iWavyIdbtqpOrp70OoAQ/EP5GwdDI6WcJoCjtuKRp6jKDCEMMeQBdE8q+jQqlhCU3A04Ila4z3oIsJZGoHm2cVNIe9eYFje4IAn5xfJpF+LDFj2z7DPY8FNE6uZ/9Q1sGYrnT0fnVzEZqY0oq6a7HneCrn7Xc8OI3tCZCaN7OLgda9SCFbrlvig+jxeWIjMZdr51KPxYqP4qjtqURMzrlTvrAxbv0texuVKnHGtU8W+8lo0VwtvbOpoKREaFjX5RPO5egkqq1I9wz55Ga2I7UBGH3wqQS59mtJM2t+j0x1Bzmv++ZJ3yd6qe6vZrZIcs9s0pEmqdSeoCsqVyeRwhcWzniH/2P7+bkuGemfGaXH2m1v/E6JPybDvK7bRrEfl3YyJwJLPMatXVkQ01cYMwacgtiOSDwr24FM9RiGsXNPJhJ+TZfkE9rHQHNcql343NeLD2k2LIpbtQRH0cyfOydyzP+8E9sHtQ8uuYHirg1Qrrl/o6yi1CuId03JO1oZ7P6ohQh3Ep9B+0OtA8bWqtJuXcXUkercz0Sb/yPSxLTxsPI9xj5z6RHTY2vRGTO6xFMe0DCqBb9vxxmZJ+OuDDhTEbvB0mo3jX3IW3ZNrSUEvFqNrTkvrKRr//MGTtXXkWGwE3fOJu+XzR+6ueaol3oZwjN19IrO+U7NKfxI6HXNDnzi1ZXPGzCkmKRNrCTVnk0t2Ob+eJjqZ0VKdY06wLXMvUgWWbzh4VybjtXNEGrwQH72ZXy0w8XQYIs3eS5/1hQ27VziUg40OgbOiHOSbhx7H7ZJoaOYL7ng8GE77Oo+JtL+Xx9wazXY/kY9BTAb/BP97NI+Yllh0RFp1EKI1VPno6/2yXh2p8tpHie9Z82rNBlslmZ6g6/lpIXsSlWY7+Tj6mx0SqrM4db3zsKyt/O0Z2OuvsxemLIZ4xUnfoErqeoXexiABWbgzTn/vGvkIrfhVLom+ANWEcYQ+brBiW0iU3Hyzy47IbcuNod5NB6PTsdj7JMoQkIusEWX51PjqgRQOVvnIYfr9c9Sz4sQADeiRUsRaEDsdBvbe1kNlUpsWTNkJngmtFNVMc+TA3ZmJmb1AxR5nIFC5eT/KLlleTlpSe+10yQsllzFY87UjR4Rqe0B/Stsi3CLWggnZjdKeQnWKyX7Ykx9+7KZD//FdE7qkv4JjyCo8U7Rq5RD5my7oRGdnzoTnKtcUC5NOSnHhp9fZOauGHlgFPGgCg9bqrp08GmIcWZ+WxpbN5yLD9cx6KkaZwYVJTnd5RooBSp/Z+SVBJBFF0tDYsBHLVcZ0RcvktdTZ+6wpqFeN0HYmZfyR03JAYgBPyT9dvB7GB1Zf68CiwdSTVmzUdEfVqcqWWaM3ekxfdJEvJzS3FutWc3pK8THrLN2e214n+9z24whOC5KXRrAIHNcBPJXooeprIc7XbE4hCeL2nMFPPs8r3i7PlYMAwWtZY1BM1l0VGprt1MmR3haNXc/bRJBniB+qWHK2cBshcXNMiay1AsoL6XWcFkPxSyyjSfybqF/i00JgUWOyf40wHpv9aOPTr9ePpOai07ja9W9104itdgihFfj9NGV4F1ChPAts3Mi/Z5HwYRfWrYhfnjSbNBYVgxPQwcxzvXFEf8AaVpMWU90PKtExXFje6jYoOtrrbCu4GwA/Y0kfswJ+NG0/HneNh1RuIyHORsWMhWgYmK1LMK/qs1SwW1WcFH10xIZD+oCTcT//mvMMOk8Bda/li9nvgQZnwFNAixKGqBLzhqtIN2u+S8JSZnuRFM7AnSD655c4QGdFoFCP/aRNArsFoxufRiDo7LQx7e3HA+TZIFMIu0+bm3QBOo26Tf6pnwP4JvBngYWKPppdPhimO7GXn7XRpProxXgYhpPtYR5y4LMPjqM7r34sEGqPEaj2CbqwKQF7Kchu0OCeKb4qO13ScUPth7KLd+wA+dH2Wg1Ssg2yANqGawbqkUMdj3enhW1Naw7AWXMOhKpyz8vulhI0d8bWTXRcysERsSmmsJjPXtdoueEZfvibIEjO1S3r5qbeVMU+N+ELTRrGhzQ9p7IGFE9ag/tZtARa6TBI6RgNSC+aax/VEF+sMmlyfcjYRc7/BNpURcYxBsot0VfYRmylNlLg0qpre3rAhC1a8voJjC10sZaQsvS8dU4JE9ZUNl6BQfDoaoc+2eVplQa0uHg17812KubdyJ2LUlJb4QqESiguzxYNMlUUrRQf3P1kENFgFdMSqnSCld0vocg43TgjeKv8SRH3pgUWzruOF6pUsDZRtbArqD+6oW2TyrPfauiFCRgIgu815fHqmRjzM7ckhKI7PNoRQgCclRrJ18+sPH1ucCtYG6EkLdqMSHVsGy8xW3zZ6r1G31tzy2po24LjIO2S5ng1nU5Y7MKL+a+Sn1w9YZSyyxOTzr3tl4QwuqUjTUbuXY3R96dD85jWinD9+CcPgoEsJlxd0zA6ZBAI19gABRDty44FB4+Wtna2o2srxc3waG/59QaiAO532Uk82IV+Wcq6FoM9axZlDUNhCnxkUa1deo3gSy/r8/iex6T4UBNMKFjsRGx9+r0U8aS1t23zs5H8jBqBMyePqs+iZTpO6VMfogN/9bIkwK40PU2wUBrPtShEUmdWlQpx5FbuFp12G48CAxe0UAc8VSSuM87Mb+XyDlECjkDEJVOumTPuMvC4NfGTcY9KG8zlkLfns67d0RJat5t5VP8vQ492bZsYbrU1QTcx6wXH2Wg3+wGvUIAlUQU7GItvSViNXiZWXRdY3dp7PU8b2LB/1jd6ItFJ17/54DSLBgoURZQhUPh0GFAmSUAagXrsMXvtCsDjbKDyGoudoTJajC1vOf196dwFCzjJ76H+mEIdHyxztqyxLAz9SfBtAzHAmxgjZwSX2C41oQs2gqQqWnmujZKpuPF+k3Jj0B156eiW9IaECI7dYuEWOGRMwsUmRV99IP+Q5J66/ur+5YcX+3WhzNzEjr4NporcQWLncL9ageQtXOy8Kqw6hijLlOiPwSUwL1LZBd2CKjqyaktsajl86AzGKqpcbb9dJFWOj4xXCJwxC+3ME6UWrKrHj9JIAUAviYmSVoh0UxaQovrqreqepcPUHvC9DaDlM2xj63ImxD/HgtEWAosAzXSccl3Qzs7UTw+ucuFB8MSS6werIINjipvYQt99oSzUmoyy3EnLb0G9zjaTQq8NdS9O18KC7iEU+O++Da8fg606uDDhUlk05pntYnl/8LIR470rnWu3nr28CROR47saHFscvF348EeXv3Vu++oAaoethscwgrUr8oibX8mAcsJKRycQFFxOF1InhXV9555uqahq4fdNAJXSp5oGL2JVdgGmGyn2TbFHpwWgHkOTsl5okYcf4ji0ygEak2l+Hflmz7Ca2+RyotQtlnc2M3CNZz+by4TT0Twow1zkCq33J64DQkUN8CP0AZj0Sb89HrcwUBm21JqGMZZbyeykiY9fDWZmBUkCiGM5XLB2i0ZKW7kghN+Y3rooEAdY3jC7nlk7cZO95ggPewoQR8DIqM9+GuFPK5/wzm/vK67BzgzVOGeAJ2WKzvPex9mTHM9jPreiYE0SltLKcHoN8vdvQ1CGnzMTwQrw74zJbIJVY62YWzvRNu2gcAu8s7GFaPHk7QEcqYQbNUjU2IC6W2d4kOp5skuoPubUIc5PAOuy4fDbTW+eAudyBIce2KtyjKW5VS0JY6Kgg/ie/1UyOJZOQB3XFqaWgO3itIxicTKgUXBgHb1G8IGiH9cu1EcPtQIeEgpqjztM2wODgDvldTr5lJVbjWmut37DDpz8SENrqfzBYuuDnu3vOolWbjXNNEQF5QCaPs6Znkoe8yFff5LGqvGidw8hwbnUpzBRbXcrl6Qqz6AuGAz+oPtxX6MoK/TPj4cBCQtqhGEBKeQDbnDFquo1WyMJGPOdp1RgLb1dh5nViMDUdNIGh+E6rFS30saZQnUZV9j6JAELhaKeO0n7UFqudgP1ct53bC8BDYdaJRoa3SPWolpikKlTrtG/QtJuFsnuA+1lt/u0SAI+wAKZfVu6r54fDNBavIFUfa9F8ljaU178bMFIo4TNTgylLQv2A1gTe9BU3090Knvffk3EvTr9BWsdQYHsdoAJcTAHT8aX0elfmXJ1u3wGBVwnjhZ2Io5mQJOsgMusP72zGFfCxXKLO8EKE7t0+H0F8m6PfXh0KNeyROrkva+6+mMDZuzk1g49EiahABugnghRVjSYs0UbxXli6AfiHzKgmn64P3N6XxoLW4etF0zLqYIXbbrFL5683uxK+wOeSb3kJXknix5arVVR3EiX+YuSRKv6NB8Tpgy4X6P2PTMUxhh1Id30CfeXLC8Nhvu9LQCqf2k87qTjvBEigPOZGFdu1S2OFj6bwY9VwCaqF0dvOzZazmpV9deWBZhuhezl7tN3im7Ls4Pdf4VYRkyg9ZoimClY5ahE32oVbc/gMwXhUQGM3jXrtV1p4Ry2Ztf6Emq0YMeVA9yI5uVdz7x7HeSVgR8S72KEyIFMLJwfHfDdsV3JGD1OUTeo1+10alHX3+q6lnStpkTKOVm7W7mNHFbURuQx/uLysm4Pa8Md5rWU7EC6uAOTrhK7IApAIFWIH2M7ijLwIJq7r0WtNiybaLmnIBceDKVY5Gq5dvchgC3uLBIZdVbaOc+4UDKkkc6sHJTY5CM9ui6Cqyc+FIaIB+9iWKJaiYTG6FXO9woLikTuiDUYe5cYX6/SiOvlith9uNHWQsDIrd7vr+Fghp6+fxz5si/we31io0ZY8TuZ7x0uZao9HTj/1v2IH0XfpQUjx3vNqHldKRF5Mu6iWa+kYEwVyrkQt6ExFpoCYUQgAJNyUY7ORGq1blVG7ipsJBxS4ymr27FmlqQeV3Y5QSVJwbRxPXDWL+GscNGpaIxGkYbXnnOsLjNjZlbU3osqzuQxQbWro+KYWzbE6QIy768xkiUBadwVljfMVF3xU4PorfMQDDc9zXRZs3s3ktZJWcOCueFRjZrJrd0Xbrr7yEm5qsG7o4mOek4LWkI9hFy0kCkXxfOrcyXC10e0V296DmkGmPRk5tQdNz6xb0+/mFgd/yaoBP92vvIS6ZS9OdZ8WF4YjvYd1uDODznjyD0eHlF6oG/Z52Z1UF6xj3JXAzD8y739xsZZcf8gc4dA+bRsPCgfCw8iR77t14qj+Ivx7eiY/QKN9M+H5npMrwrI9tMvqtu7DhFjUojdLwbkTkbvzN3zeuAOt2h9OqZPuQxi5/57rd4BLS1xpN53daeRbD9ps7i3byekbO3FA/iBiQxRJv1ShLfnv0QceX6Ve5g6abtDEq2TUW41gbPI9XVoHi4BLvenoc2XeX+cEPIixhL+GWPMYbx6Ngdel7IxagLvYfmIVeJyHWCYOctLKLlwAKRE1mvOdyPvUMrGx7ZZLRKnoFwUBFkDHsUAXumRBjcO1Um6pyz65G5zpjvTo/esJFVdZrnnXqJhFx0OVeF24ytah16ARhmw8XZFQZ1ZGoqtblQlSZ+r8wDRlEAC3veDwXPvtBg/3DhLDDfmCcrHBYwd6YkxPtM70nkZ3hf8oJGSlnlbW+3hji4a+gqillNEMo02f7UVyn4YdDCbMT35NTGhnIpc/a7AxOK3ropg735DONam7t8jhThy34PleikDjAOHUcbW9ztEHAzG2PrdZ42YNHNy2ONnTTC6e4OjbTXkJ2ns0+YXOWpfcuXx/Og41Kp6Vb7kpOuXTZhjEH7Avd2Dm2FccLcqFhrxEMQ9df0nP7bi4dy1dMVDIXmChrZBnmC7jriaAujFI858AyZ+wH059RsOF7aVMt7s0s5Y+8yO5KWKH95eGgz7D5fa/cTzpY7dz67pOHOhooKP5naiJJeHkq09XaNT5kW7OKSsOyTTalDfpIWo1TrKmbGIQr098YXU6XxcMnDxl1Iv+gGy8PYYBAY55MepS6kL2xJeKJcvS3GfzjZhxz7LnYoLEv21QrvhqJz2uOMeDpfitxW9FahfpVR4h5NqEga4lbgEg5gn1bVudrlBFLruUpshHQ0SfDfDDmQPKmBAGwILZg0R2TAnm6xW+6ktE/Lcs/leULgicmZMuefNsytWGzwwrolhMT0UDAxZwIT5iglOk7p1cl4t0zgBA5yLzkd6VKlXQu6r6D7kKfF/hQO60/1qzpXfOd/m6hl4mkUw1JSvBThsIX63YC2oQpsGOYnulw+o8FhsuSFMjuX9BhdRichb9nB2HnVtgR1FC3lfL+FA9mv+djc0faJ+b+5+dIKxvyC8iu5IpqzVowDxHtEs/IYd0evu41YAO6aAzKsYHaAMbaZ//jPze22M2aInvxXsdiKiv9dn+5u4uxIqqzAx8fhnoA9DWQBfR6koG97Y1PL9YrRsrXT3UksNkcZyzZyOItaA/To1DWenDMQSj6xJskVwXUxoM+v1yIDH1sTJpJEIf4NzFTPGjIvK3rXhZraaoYbGdnjxuqIaeJ7FinsBzkChTa8cE7eHVSzgRiV0LDahoKB9LMh+kTwz7twxtInkgMtk5YBZVDx6+z1BpTmF8KvZeLDUmNpM2iZ8lrjzKdhyofqNbkCFyQfQ9jpV2sUrVtpkYw2VLdoeDvJ6iNAGK3bMJB7PsEC1Dd0eeGF5i0aqnzsZTZJxDmFTAihG1MBW1npUW5UPfWV6aPPEyuBQkpVNqICXKfOt5T1W10/LjCO33w1aNgILyuzhDsGP91qe1UD4hyCzK+/kJSADS0+1Qn9KQoHnyXDZUQQpr5eFgcdDxPdg/8IqB/KOREAMXBX4RCJQhiFEh2p0NWum1qPCC9GyKniaxm1IaiK3qokQn/pU46S28Bsc2cIl6xsLH530rckYOne9weMHp9aBeIdsl0b/4rLHRZit0PARH9x3W4m5wvBUNsmWfUpF6BoGXV8M4tQIufAk1W4gyM3hmoN1g58troRsJNgErRLLvJTy+cS1N6XNpwklc+qE4I046MtEi0bIkDNu/56R6+bms9AujFupKkRLh/NBRQJrsZLSlk7ORCGw0MKAixHZShqBdygVROAWIpq9XUsaienEcQV/wrQ8hEhYw8QW23LStTTOlWYD4dXscAs5wuGoF6zkNsu8h8lv8PVBe65pgOaqhKJAgkGE4fVtyz5hHiZuwMwJ+1c1n2pJ3Yf0oKD+jPd2dAH0Bfq+9pN3NGZnpZsuCU3JXaCcGWoLhbIzbJ7UHXNPDhSGV0CrLtcsBwK9pjiPJiGtl+daUz2JlRqnBGm65apsHC91kcpS1N2dVPRLGb47evNaCs+meGARv2fF9RL9fMOox4ixR4I0sMdnDIUIJtPcLJTtl/NEPdMzeTdswtW6NSfFqRI2wrmZ+D/192whiPYVvwwRKM2FQFFGSHfoQIR6UrrDwqL03ATlKp+I0hxLVjmN6CNpibaKlqcS1FepRN1IwSKqn4nikDBY2ymCu1M/C8aV0shGtzRf1hZ31YKgzmF81JfTrCzvO5MSjhuiXGgTg4hyF1+0z5fbmh+R4B3aM6Sa5ONILIPmzizssFya2LrpnKjQxapEp25pUmTp2nA+cM2sI6bk5mdLhuChBOQxhyIaJjQjM8/OLPwCJREQy+ME8T2oprpgkYircFaGRKovbg0xSsu3796VJOVFAC1gd7T1bnKDiQwp8XUcBJwT+A06w9nqs1qOmRV2Q+iDNysJd6WfxTwzgSFG32XAOVySa4HtaEMEGKsV5ArXD/GbQxg+t+fri3G9pnBYsdfiFt2FM94q+pRZL6ETIcdLeCuupIC8ZAPe+JwW4M/NhPDmRoArOuhsXgS5ritSi5Lwt70hB1NL3qmkxL1RKIxkHxm1E6KPpNCWKKc/o6QIKbDnLh9hT6kqLTFoAF0i03vdAVi5KFROaZ2KrF3ji7UsRSUd4b+ICJL07Rz1SFeOb1v9vMLv3eTTKkh0QfSotgS87FBd0NPNq/OfPvkIkK3tA4701EV4F7fFdHmuACUPoUGiLEQ3aad0FMs/wm52+FRk+nP5iZyPrgWZXA1JBYNkXXzR3XeHWCTKWMUCt348fQo33h/BRCvcSTX6aSYmuRas4aslwd/v1zfSzRmx6uxAVslBq+lYVUv1qniLL9qxLt6CFY5c9irMySqmxlY5mHLFx8zDNAsqWQx5FjkHYhFMJjoEo/tkZm+1HrhRgSzlwH6O4tW/pY3+dfCwkUiHFhyhqsVNdRh6MgwlDyJ7S2/vFPlg5a2QDjKKMfYRO/4eIPLhxpEWN9LuYmKb4loip6uwTsEZkG++fthfp3mh2k1am5tkoUi7E46WIOoFYvGMA1Hpafdn/b9pvjA/+03Tszl38RAvUjmbTIy7V7RMMsB7QkrHdwiqb/vC2P9Z/jWUCZ8c7sC4qNN5yWkZoWWJDMhhWkodLb7OFiWp6PyhVWjXjWIXynjlS5++F0ydwo4rD29vV2Wj24UP9854xS5Kx2qqdJgPo9hyHvXk0dsMSZm4T5gkA4qNMwrr2GTk7He9iPFvf6pd1LrAP/dKHZuxBrk+vMsiMDzZLVLQwOlhv9NDGdoKC8OYs+51aopAXz5edKOYJxG/XNLOiaOD7QTEYxrZRAIPNpmici5cBtt4JpypQFoJS+BoCUo06TahVTbUGQcBJ302TynlcjRZBbw4G1oBTnWr8npkLW9NM5fIt4rdi8Oez2Ji1syWHqr2JvBaV6uwPPs9DYkCRpj4/WkEuj4j1ut5aCk2gd1lmSyrI7GYDmEm/87v0gV/6n5Or2R6AuxGdyvY1O6D+0oQX5asKLgrvAmg1wJsakDwd0QHJopUOLgL6lyHOW8vsln0yjGDA8qfVFCn/oqZHr+0jj7R2QcFUV4qrc63yLopMZvrJnEHYBE+b0tDeBOsTp934UfugmEQBf/fl+8r+8j8XE/EWBF3G3wSncPHseOYy3iBnee0wwHGEeCNRuGj7dGU0cosHdlDdbiVmo5yQPTsQzHJE8beGhUaHaGSqeoNSh+HLmdexbFUMuy8fOONP8vZB+zp7D3j96tElGUDz9wOdZaJQJ3UdYAqVlY2nMVO/GYgpDJEgP1+wdshQhap/MGTTG0rycn9JNDzf7MILJgRbnvOfU+sWhoGC459KOao7JLoYZoa2R6lVymFnkSWhi5OIzWldLP2N8S8vyScrUdSMiy+H2lfv6CXLvCuBwDlIwXmGpucgduiSSKHdEg+k5tUhoBW0Zw97LMn384iQZhdbCyOlkzDICPeD44pLWQOIJ8XAHegg7khg/5b1jP+Xzly+6uWH39fySkzuzLoZKK2PKFJUY3xGV0xQdLw+xAM18BoSIwy7qhDeZ7PwyjFyZx7ZYGHOkZLt/P5c9qhcKlp0lEwmJKijeQZrkmJHZ9ck95ITfp5hmx5TFSAhLVNe7pk7xMSpcglRg+WIEHB58ElCh2FfVcPAwYJxPa/PMWI/CafbWn5sw5b5rOs2XqhOx5OszZ4ddCWTtKkSOPRbBpdsmqMKO1P/XILEbu4H/vFofoFGG20VkHGVep9nhLIFviFs5bolYBkILKcrXK4gc/eqARynMboruy8Vegj4yJ5zdaXtz7PeAfhwaMLm+sIAfZ2wBCFQwBI8b3Qn147rEumREAH8o00L50QIDn20dOy9HdVMbFZO/wcQsiqZ7YC6oNjh9/Rr8/uom6CNOGKmgQWWHCVQ6pdvvbiw7m4T056XPkMCN0b7wwAEx2o704o5fAaOqmxVBcnY5yiwelLefyXZ+W51VpOaBlBs0XzvLbQrub6jx5c+VMTDEcXepAzSfCflVCiIgEosoenrqCK2ByTd+EzWaznLuTRpwjO2oCKswHZwKnsDjsdlrLDuwTqvsW69UzMH3gQ4Or/A2byv2a8jj5hgNb3s+4BvxbMO9mJexmfS7Fl47uwDkO3YxhpqWUZfDGjC+p7I0uG5G0sFuFHTh+1LB4s4KHarsAe4XHIjJjc7GZW+S5vNTJGSEPmDOQAkTHektajGgFSQEwuO8xrtGdp0g5NEtTemo3jbBb9u4BZpGkQuEhw+3hb5ATf/9iLPoL8Dwf2fqH3bbXysSyxJbFUxJX/zkxmwqTxVzPLYzzLTUpE62JHo0RdL8vtUPBY2Y9MfNaC7zJUwWHev7m7eCvLFlrO8P8JJRzDoqA1xP4zQ1NeWVS3fw/Jlx5bAZhHZ20weuqAPWDs2l/GQRa0iWPK2gRif6ML8S6jsyr6R8voyhGLbp1ePoNvC4Ib4EYBFuECLw+RuFjH28QlwB2UgEN4a06dK7Z3H2dxupxUFLuxccjwBCuj7GCUjGGZn7GMWVclYdf4TDVuRxe6rNJjOJ2meudk3QIGdiYGyrnsnwoI+V9jHLPXmFBrEqYy6OE1fwBZxCkPZhWe+T8li1hZr5vFs24IVQJ3cYbsO1n0kUZIDcYpb3IQOWDTYCvzwrSXBCyCDkMcx+8S2UY2/PJxoZs6Y1lQPHS752TbVFp8JbMU++xp654qyrdJvc3odQtFpl1LiylcKTvGPZWAfHUU3DdLbr4HeCfeekXTWegmQDYCQU12O8JsMCOyPVQKnAj+KvC3bijOOIc4+ocN/bas/gr0Gnfik89rnbPneXfpPvnqF63y8bDQRBE2o68uJviHfs06FtxNBRW9rrPPczVth1Mnb1igWyRE+HIone1JaViT2g8MvLrjUH/ElXC2jAuUjRxfRVzt++bKba2+7IZHHxSaoe2EPPo5II9+BOQRDZFHQCwaowtmOfjuqwNRwrTQMAEcGj/m0dTkEFW9A4AOm6mok0Dz80etqMIPlnRSMwgiy17JxLnBt4sUz5XaGz/cC4Xj1NesZlICpz4n9h7J7CzdRltiX3tPO3Pt2SAmwK6A3GZpPGxAgWu26+Uk/i9ZlwbnrF1k7+fmipSD2hBLgGoxin/JWXQNfxtRNyPDfVezjmMIzqsNeytqITLDxTIRp1rXIgrgHIuqTPZ80WYiScwSG9URqyrR5iqO+8odiGlVVKsec4aw8Hou9NDHsic8156kHJXDKS4hn98Yab4WRHURNBpkGs8s2EAQHn2bm4fi2EBw32XW9cQ+lyVAMGKFaBJBTzNLVtNucqM61tXIRs3uL9uyFpd5iARNiOzjbUjKrHHbGEWYiMbbLeJsXdas6xY6qaAKL+wku3GucgsH1EhZM9DbpQI1D44TLOd0Ba2bBCpf6kwgx61Enm2uZZqo3kfcTGL1Fq4VFjHKg7i+wozpx0+qGvy3JM7JcyGbh+c2nh1a3Uwpl55VjjJn0uVKmM/NyUeUP4ukXXu3+x58cInTd0PYZ2voA4TuTE3ghAoT1aBoYkq7nJhzEuC6203YeSDEtpu4mQ5F0/FVwcgiAh/whwUoENu4eJP07+wQJht8J81agXQ2ZIyXpEdo2WEpt90/+yYLqBjxGwqjK9sFiCOf5lDbAciAJgCk1VAq/9LkMs4hMpeo7najJrTGBD92Tkt/iCIqRBvkbV1SOCkTlTACQqbgwuhlXa+jIolXhBzE5jA/rC9DsQR0JFc/67IfqTAEfY/oWBjpTmLOLh2J3EPy8lphmQQeVICShvoLmcninzIVSDAte28+JM1NLLvIqwLOKiS+NpjobMOQqDiOT4cspCXWa/5F4dxoBG7BFUw39AKDOz1TRGz4bchJQaP+ZItaArFEQQc8QebNlg1v3ZROm+CxEmQ+Ikuo9cKxvkY+rxzls7Vh/0ZP7S4Q0qBVuf8xBU2wZ8SBcZDWSDFnN7srtZuGHQTFgblfNXDUCbkQ3kX/Dp7OOtO+yvmRKaO7O+4JNdFZRm4ZPC0IvgKPh3MnkfsI2aVrByXbSZ0TAf4VlVMsuPuF6xV0oCqO2DkgV2yGqfDS40IZomPBmQX0wApYQnM0OzG77ycTnGWG+oyoGp17cwZHoLJTFFhkJ9O0/qcCfzzrOQza2/s0whBZD/NojMFDwA35bJMbC+VqI1pbiLXBLV6aiXMFo6iZ95OW4HvWUlfzfV2JFEkz0TOqTQXrUDVrtDqjftsdBJ/VihJGia0/S/Ri2BWiNpTQ0Z3DNKKEuDJaF87NDJIWueytU697DEJEZ/ajQYDq5h93Z/dCo6Py4iRS72OAt5NbisPvWhokFGVxpSo/bsBtgoMJrJngIZd3gAlcjTEF7XRXRePyhXvy5SI15fxiI60AIR7WG2OAO5IzS52WKJ9SquB0ENs6MOZj1Tq3gYlLSEq4EIzY+vn54EYQkpxRmIE55WXT33dstKTLe7j3l4Ppqj59C00ApS8OMKZo09nRQv7N8hNDuENbPEnDBsBue2EisBNLOyu6HnatCpEbWZaqwcOltbbCV6jVVVPRxg7w7HgR/v7kzqGpukFm0PXrt6mLOUx7RVqwyFA50BX250X9BKknxcOhCvRza14MJcQgnuUCJX1rLhvSqnZtV+O+akM39EtKDjcOA4bCaA6RAqi877av6ucf2bnCbUPyvO4nE7ld9gsizfNwB5PVV2N+Liql5DQ1eV1N5pDdlZWYyHBae5Sz0wATI9L3RmW08Rl+mK+7taNEb4Lm3ctaxEPSNXLud6ZQBDo7LPvrpji4CoD1xy7XKi00AtAxDAB3y2RUx+cpLc09UmvIWgnGpoO1fNhq1SINDzOQjpghoRgNqdjINqQBh5Q8Ar9IlP7cbhvqQodadKBhBT8ypsUvYnAqqPZ3useD08nHjYOHoFNNrtZfwTw1AyyKMxuq55O/mhJZrQOfEPGOn8oM64prR82aId276HncC8Ozxc/IB5O8t5nGjAxKDtYbWLaGoUqMMrseuMdk5Rv3UFuZlEppKs8Qa1llCRNQ+ZuWPfZPi2j0N04d9yzpn6BZsBOKbVIyNacd5cu1yZ31N0BH0WLzf4wcknK5JW6TxYEZXu5Xn4oE5mAcr8evDImfPU4h6ILGJcgeCUPezDb1+OT76iF91CI1AHYRY+VZc9ozGz1e7ZDpK8igD/UHzDj3hoOnlRBJ6D49w8+wi3yqMfJqLAYkX9oqArqpMOimBck2f4E8Hto6yxVzaEHn3CoxlpDgsmGr/5vpLHpsu23ccLde28TW1vxlOUQflz1uFpYzgEZj6u3QvGcvVKdg982Vc5SWMxsI4MtGL6B7RT9esLGlgo0yqBXUvHrWa1tzWWaaeZZeWvOovZzCOmJ88bydAUGF95WIC/xk6mN7f1I7jFYTt4ZM44ZbFnaVjxFcjnZirpPzeL3Gz2QAF+AoADx8aJyiDZUaw+Cxvwte/6vI8XkjE9kuGK0G4p5gMjsVuHUwrNQm5OWEKtKg/bznirD+eHlGs2RWNgRFXE1wDkg8nfjIAZfcNCURltL7Br+2uzzZE2qqVgy6rgADEDI2eRVNgI+dvdUFa3/72aZ3El2eMWbmMKk6agLCbHLS1VDciWnKDSE/XN1qQDhFCSFFdY+l26dTkE5eDLt02a7fFJyY5pHS+vPsDvbTalVxM5bPGw9MCeKJ6puJxfzY2sz2egLRFUdRMkxK+vqvDB4FQ7nvnsQeAkG64DSmCEpdUkRc7pINvdm6+pNUgayS4DAwad3VwV3yG5FU9e/mvXSYL9jB6ALHCMq1v+3RXkZql/+pmzjbuXzqYZKvniGlKoxfVYOKjtz4du6nlIV7G6/PcCDRZzV86Isz69ErcviZUqPorivZhYbrOSLxLI0GzXObwqi6ymraTMH9ZVnitkD99vRCYQ5Yxd2H5t8xbD0yIvK5PrADMtrIZiYs+Uz8pmPhrMe1IFq9IsyW8aKhUzRsj46zj4/x5gF1UitavgSHhZVT9InCbqU2uHzSK4TeEpaw9IcVvQ8pGg4vGiYWDcJr3+2SWyn9skt7paSUc1wFqv599g4mPE50Xr5MWd5KLgmfDXmuQuldBaqmHl6p2HpcxoVaiuuHsqpjLfXMwACHAlCGh3QtY0pUm43TfmC+JZXPM9QvBEtik4qtVfIdRLEMOksNKIUw9igdVEhuItYEGDm18bSQL1P8SavQQjA4ATBzOvmca5pkkwi9jXGPbLGuji2470X7aSP8R+CNUKznTiqkJAmB/LAvHGA7wOIbp9gVanZNKngL1YJz5GunlSdbc46BPIZO2MQ0k6sqn1CjU6S8emvBe2KzsH/pNw7cuIaxsyEuoKqF5h3NkEn5TEI3a+QuR4MSKd8svVU1KU6LMno8zpWp2GQdzM2rY35E2BXZXAGzmCrlitsngD++cHtXx4YtYxdHv07ZTtXZacLKokzbhw1G5zzDlm8LY/9zthjC/5RZSybjRqKaDrtTR23jfKLEg9rEzRsC6fI2NPBmo1weBkAi9HFt2r5Vadx/a/xnv1poJU8d3GW57N6njZ7vyx7eP8EyOstUxPUlA6fiN4eosg/5aonxe6tb6hwDwk63GqO6z5mRASFtlHMcpDNGAGSWwuDFf5JKdAjFwBlUa/FBeTGLkLcG4E114WaAjCb91BikVlEV3l72mQNzI0nnfms5MFvHcfRJG6PN2PtWIV3i7JCxg0Q+7uUyQzNLccSC2p94/tkWyI+DKkNe1t5JQuufEAB6uyLxtbCeCW1dAudb3z+kf/OOu8CLWEgof3LultHmND1WgoGDk3luYb1mGQkm2W9osdVeJOfOkw5VXHJ+hGUlqFzsI4dcUMKiUrQJfxY+7E4lH8BQAG8QyPMBBspYgWxhK6AHuRu7OnSQAwlsloXYuE1vVUesskcvfk38iXQPdLAIb3XJoBNzh8LXtPYyUcclsUW5QAmub52GtLccyujnFM0pzNUIH/153FF/3GtkpWBgr+mAyVZjQROlDBziwyeDjjWwKLSqY4GKOUDQbkPbsuIqCSC+IEzERc2xABKA2yOPrbmnlBrk5yCSexFh2A5Tmj0/JyBaBdUKznV92X5c/poEDqLuqa4hyRuq9akOhcUAtnP8M3BEjyl2N7l2AmH0Ds4Hu20LnNYCBKWzpDDUJoPkA7kLcLhjWjfd0hTcZ9qNsiB877WPlFIvbMLoaXGjEIVt2Ko5a2ryvXcgAYPOA+zV+2kiP4U0+RffrRLngRs7OC2bW1ENKCgJLzV92SxnhyNHItkF5pqYTb+5m8Zkjlk86RowTH/SnO+JUMLRiGQaVLTZYNIoGNzjiC+KKI3EAlGBk9pnaCRIXd3yshtMc3Q925laexQxGUNVITIqqC1cxG4W+OuGaPLy0rwte6XY2lB72HN3ZohOwBli9UlyFO0Czk4yfWHEnUdsst7385avX8pyYjYIN/FTyOLL+VqeVE37/msNaFrr7a+UYNax6aUO2AMH66cHkAUfRF3pTpfvnObDpqYmFYG+rXsny9p2JcKeuSc0tv6fw5gBuiY5AYFUw2p5Qfpn0GeRHljXxTxa3ul7rUZOy1z24/Se4Zowte0ng1IQ5QZirlDHuh2LMd5Cv7QKmGyuEs+wLT7lTag5JQs34Fptp/c+2TrDq/H7g04pyQ0PWRQchTiP4kpexmehjcQGD7yVykGWKEY9RG3fPFpnP9z+dj15CoCp0s8uMFkX+Os8VH37IL+BMNcaqAvpgququlJ316K6dsCWcsW6I1g/QsUa6qKJrGosCFofN65GWhbb/Zb/QENBgwx2o+rMwXzpjzcYwa8fz6dQX2V8TEc3Z2pSYE+9NsTEj0qNcmQvGfPzV13QSW+2rSF1GiQ3EIbbPr1ZUFamY3SGsNKHa7qdVG80OuWsNBrnBM5bLd+2uXbjd+3v/iSwNibje0mpU8WnUTOe0LrvBQlytrW6MH64Rd0hgd5j6KSK1+H6vICnzn/CG/U5vTqEYSZ850aoGztzUoO0g/1QvohanTPGjLtnxhE3MIaoScaJ7KSpbsn+Wy5CzPM6Mmf12xo0+jBiIJRhTLy1zzP5tIPQN6BdCGNF5JjfRVkkuTOA2sW0c9WIQu7muaFE5ZQTMQ7kyILlEPJKKgKEzK/Gibgf93WM03CvUJjl7uFAn/4YluNz/3scU+0XiS8LZB4NWAQrdMOE5HOF+Et3nPqtpJvQv2xbLZncFKNH8HIdTGCV2wvNj7WoW9E9p6Xlhr9Zxgb86old3X2o0QTePZDt60xWSXNGl1+z/SSczDkJqJ8BQiIn9gav+GXuq1kkrj0hWO2g6ixIcNoJLcf5v3NyBRp8HQYrcVTbUxrstZdMLHCElzELEhxgb8m1pO9KIXhDsJ0wXI3S4BoT4cJhpqtcOOHUHfjgdD1kSAW6AjUD6cGFAo6PDS+DwTSixXxEgZoMlNc8W5Mu3miP6ECW9ZUX9Qtx+d31o+VivDnOtLbpYmk4qdFCbLfvTjOh2ivnVZ9gzFQ53eDFC3CE/MaD1PIid+mn1jk1+oxkrOAxL9hiq3XveJRvWUnc3ysWiZVfoRkMBhvJYzLk8JZydqacFfcqOVTstliAlQ/LqvBGgw5wh7W/ROgk/+1k+UuK0JJ4QEgPnETbWRKlWdM4xVszb27NysL6Wq6v6NNTx+Ze/b05heY120akbNzQyKumjasIChHuSvQnc5jhtJ2rmOI9OgkJULpOes4epIxTM76AogXi5WrjpTeAdpRd+nABbAhAQRYPciUxG0LD7L6ma/TeErfcLnyzdziXFqobWF4apdzYotVC7tkAg5TIuNYZchw4h7mrkaOEfU9PE2FzMyLWl3NsrELtZ17kCXI35wIcpcvKxWb3qnQCrz2pWGYjyVTfIYvv1t3r9pOC1u9eqn26Io65JzdNbk98pwmIH1jF/3VVCuwpYe1LW4Yv8I98E8OcWjb0EP6pboY2y9X5c+zN7XgPfHA4me4mHzL7ET++YazT126EHy/NRmgD9CCYygn8gDIE2rKWwywhvj7R75lOWLDDy8oRzlTZvojP/sCXohxesK1lk1rYSqpaIQ3dldU4069t4yHk218QwTSdKWaxSPBLi0J6dWE5nawVmNAZNnJi/gM2DvBtH277DjmV43xB1eL5YFS7V59plXZQLcNJN17s0sZmkGpkincgCkq84Zls/K1uUEU2sGMouMcZMvRGiPC5gx+NEk8T08jFzR6z84VKRS71r8F64HWADHECbu3EOflzr+yTAHt7rgjIMwSACqy7Y2ipeCRADajZmYTpwJ2wXsh9OS2STs/u/YxKfg89BX4e5S+eMwzvM/z1T6pj/z4TnDpm2AJN6T569QQk1aOdSWNekiIw/Op1Yyl7MVyFMop16FLEC7OlFrPpsOQUJV6/7niYNiIlcyNP7KFiAVUw8ZYuSMS2jobZooD1cwrKt0kpB7brKTYKKH+6LbUxDYQ9dNu/Khl/KCfd/qAfzRZtVgtFI/68qLa/NQ2ixRTH8cQqtFa8/rJoY98ZtOoGz+VRC6dZYUGuaoEz860dj342CxhK/FJF8p4YdHCVVg9ffFYfYCbSx0rYES0bT71KWaq0DuH+TzBp1vrSh3LwjPrKqwnLEooJy+XT+1rUrCs1AUSWzMoSedWYv2JvrJgWw7VhfqRhta2HMgYupIQD1tL+cL3xOfsTBNifRnkpwsn2i91fjiRDs8jXvFp8cFerIO1d+Gi9BBlMyHA4oUDeI7keEBeUMqIiPGet9q62AifXs64RPDsWRtIvjPpCvLpjOrvBk1bDZ+9XZgh1hbDgI3MbYqijUgWBMaYYu7Ut072tgCSfWt+dtV7ovTx2XYAq51zVzcWOqV+zY9290rHT6mLHrnauKLCecVtNC+wqJnVVKX0sdx2ap4J9iErzho01TAKyAnPH4Be6TV1+61mf2TW/OPvu5U65jh1hH/9ziKthxo/d8DZhya28ZKuhTdW6YoJIAtky2oBEPQt2CWbap/W3pIoM6SzOUHNps+daRX8fUrEeTiI9o206xo2eNhJhMNypNGpTrRM5Eh2kJTamYYlbW2wstfhFuxdDBaL2sXVpuzg43xeN9pqdqJicBZrQyxKJQo4YZB6sddY1ZWKWi0C+7Iolv/Ly7ZnQks+8ZZxYRKvyUi9Ubb8+Dy1JQ1vn/UIGHoQR7ZW3RIftQ4VuXh1T7BDo6QTgwGkdoLgQTNSF6H7V86ZP4kKiJVVetjd0lH6jhXAw0O7Gnid1yd6+L22/tPgu7Bg8Bn9l1glf3lHGmnHdSC7bdBT7tnnSkwkwMVCLlho7mzs2pvfRuZ+LG3f3T0ig9dLQysBqM+sSc61hcSScTOig7VBbwQkr0V8RquLwclDjVfBeOpwtX7BP8oimMAwyS6k2UxGPrZJPy2w+IoaJTzBYg+P50fNhcT8DXNIayOpbsMPawRdHIj2Hrlbl6aXK/4H6xNu/ttF07lttcQVREDJ9HQb08kyLaG1Lxshw1VGEcHPo21GO/KOTnM2dtoMe4mbxn7jHfYmQd5SdMucQ95nn04A/1AiwLZwsv3FYYGCT3q7a2sdo3dwQvKCcjKobAAYNlSz/fWxBPbPcFD3OrmdRLOlOEnxMwE0+TUpoJy5pMCs3TcogHQ6PiEV0oi6gZVXmV35o3YwPQWcuqU8OCFiB4Yxgz/5n1qDnD7Slx2aGOoZQ+5jXmPoHRQd4ou/u+pZ6k5q3riGs8FsXP6m0wKrAikOsS+/FQ2YTM4io4g640kQ9E0OudSFAeFklCUOL0QBpKxKaldHMgD6T2WC2AuFkKdHzdZqDzPVphxNWluPZSG0iQN7M8sL4ERQgRXyuFhmQYHQyKdm8tJWZEbqAgT8EgSBsOUmULU1Rw6ygktBVER4Dp7uT8t0po8XBde+7dgiB2gasXK4dxY7bltGqHSZOQgSb7H2F0gY5QJoHX7OPawfa3L/VDnjDq1HvFjjr2+Rp6FF3lpcY96DTMrGTkfT1ThSdbYegkLA5f9Bzk4yreFHTNMsK4MiG/xNQJV+OXj0nFQ1HfPZJA93wyUDQOn1u76/66PC+eyCqdXf6DJAVuqDrHT0/uaBaYz+AkJI1JVU6GFUZv3BP0m10frd2XtdB+g0QX1sIExEXj0hqOzvsQUoVwOyWIhewPbvpXIU27BJk7RgV9hYngdrRVb6VSIIYlPdchC0nTRhDPXuRhq3G0SO9+u6W/vYRDO4SDOD9OA6aPTTf5wfhsbbe53nOETTfpNfUS4zh0RCKJALAaWgaFieQ3NrIseO07tiDZZvitjsSrdQWpLcg6iWao4OdF/pFaFRGp4PsV3PIT9mFYA86nlWHYLpCi5EfSZygYrizYyQIwYc/V2O57Lu5jbPjOJ3I087acbx8YtLeX31bZPXBaiJeiW5zPIszeL5+YLeLE3IXIVKYcnDidNlCO3HFuprAB6hv085ijDhkUoc9WxzLINsi/22H6s6xfepVKQkeDDDKLPdiFzOCn98sT+syMTCNnZ4/2M8jUb8Rqo4jyG+1Lhtp/VlB8CM7RXx1KoIL6BZNNjNNHo+U1pDGTxDA72NbYK2MvzhF9i6GiNh8hiJfDdW7T+9/JY37K9WOixDUTJ2VN0dx15CLtuVHsfSXQUcBbdstXttmWy6S0jwQKS/qkbdFljAxEqdqhojl88B/2k0PhTR1IJJhKNjZqHrLHB2LFnZiN30HjoJJgsiWJzlbey9LwLxUbTlogvYDvqQIPUA0ia+Ie6fNJ1m85duCH5rqKN+90yTTEPE1aOJedr9Dh4NnLvKUn0WwcHZz/7lkA9BDsJATPlhqT3mKLOnOjfx1lIznrU0SwFr/C9th1EkQ1dPOCJupjnm14tgor+pWD+OAgnsEPR8ck7BqNFTSwcpTo8vPPPbnp6zZg/IPUNU2OPzwUKUsZGmn8jyLKlmBhE54Mkv5/sem7MEO206TGab3tVjhxgOx3ZRpypEUAzqiXhchclwlWrqMkKiuDAbgD80gzokpROYnY09Z368wEI5As8aGSJ+vX+s4jywuBsHN99igY1SJKijY4/yA7jHFKgGVKnvQPy+61Qea9JNg+CiAQWOrTW3n3OYg7Sh7iQx5INH21NCYr3Kptp+WhVLc/qZPPYw3QBZ/NLONrmbQszxfy16HXZkz6T70sMcTrI6lLWUAaECTfXkq6z0gM5ydKdvsTi/cpc9m7JmKl+1JvjkfF0Ocjs2N+iMaSynO9BDcUkN54zcDB4KfWT41nqHesk7NzD3R7+NniecMLU4CRpypmQtlj0jnYUyQw40dxCpKS+GgpVzGCdbl6XhwV68jlqG53uOD/hzVmVIkOz7jKPrOP7T7+lg5xgKilH62nwyt2E6y2ab81Yph78z6G1MWp41hOhdMklFkVkqM+qguaY/HpkXdtuEmp4SxNYqXQeRrzcQVsU9ohVCRbzj3CvJNB/+jC0Rk0vHxPkRu41skUK4OimMvqAuWK1LyRdeRgM960FWIWQEEzqC9lCfPj4cC3ainbV/bvwiGR7a6clIAUyZ3H6vP4ZxxWFz0qYaQ+lpHdQy4yPWzE+oxqfGau/Wi9ekiVzuMd08oNKKR/bgyZxPGwnoAYng80hz+dk4+etGt/VghEOCKV1qwhszaD3AfUc2LWxkvkqs1RxRPEr+5rMWIJtmBi0m9RKf9iZF2DDZSxNm7J+WMQ6cZ9vV8RKLTeclVnVJSPeCCujifgUZsqtnRF+HKAQ9OZSdF72gpquB9t55zi/iXLy5vgiHbpp7KQbwcG8k5s9N3tF39dvS/9vSKoiQPBwCxGUdLyL6cjZVv+/pqwuVFOGK5h2/Enpx9cUDSP7VBzHID6D04ElHd7Bnbl2CEmrveB4FjzWM9E4dYDTw1kJec8S0ndUI+Wlc815LlqIidxKoCiVPPMpqKYzdaeIexrjgxQ7vj6Zh2IIUV0mwgQlwkjqvWxV4L6Rb392hbRL/zyWzw9IBgWjxdnWQs+TbHvfFHnlSMpyUF5y970bOSmCmTPrCV+YmmZKdD0uVqpriPezADCTFXNqmwwvmIF8yfbqjwH0xo1Aooohb3B7PERTqx0XEdyaj8N9ElOzJt8sIjEe1dgdIs+wGWdsM8HFNhVCt8hyroqiN34ok8oI8nqgO92YSSGDj+K5DNfXrJk7Oe18QuGW8yDpa/eyZkafnvqV/acLG2ySv+r8K852yTGLSRSLgJY7sIhtEUAoIhxOYN9LeDLIBzMZW0lFXTDqz4JL8ZXNgut4HAWMZP5urPoIks/pkFrnZqAX0gdtZZtOpAHigW0G2fZt5cu8ky4MbKhLRiJ2sG50Gz2Zt5n7AzB8LentaGZYqdw2g0E++SlmK/LYe9UN3+s1ymifpPrrP9yWjOrjkhobz/NZ32C46CA69syuNM47tXtHhWP/oyuuayi1oz1S7quVYXjRqrzR39SNFMKHuPrBqn5vvi0HU29POcOPayyNw7mvMd69GHevMnSqqo+5/1x9LLgbeHxVROjYd92lxZitSFnQtuR/q32Ldj2d6ORlHmxR0jYpuKQPtb0MrQvWga+J9KixG+JDcOYwi5uD3B+Tycz7MCOttknfN5OtzkU+YpLoArscgH/Ui0lNFhLNqZbXS2MrIlKKOM2h0acAuxXjc/jBLWhmiQjv9ZX4WybOF5JqspA6ur5IOcj/iONfh6C7EYccE/iK/hQZBsk1wyHUh2mx9GqbJTUsL2bbXLEHpIyrU3dOo7IebSkQ9+DsKYxDnHH1n3RqlSWJUTI7MgjYELHLNVxqblOWGDLPmgexXet7xXMoToZjcdwDkWmje/eI7UBU01divwhxICxclINpXQa177pfsBmaZhLzM0XlEFZsPihHL4LmLyzLqFUDNQGuie4zPNsjMN/oAB/JFeVhRU0/2uHXVLUWYWiFrXm6Ljx7A37GhJUYg9czaboeJjCkBU6WVTct0scgxciU/cOVm/NatnnvCt6sziCDsjFw5OgPgubkh6rskSrNyPsUs47xy+4SSBx4Hb44C1aB7xHHPzSGKDBIOFmFhQo4HAjeG6VAbrZKNwpgNryy2OjcbNmmHd8vUWcMSUybtZrhGckDpAyewZ2XVGHW+E2b89AW4Nu2po3PfJskLMwNcGuoy8yGGa68xC4BYYeozhBifRaIGJyHn+7gJ7+9oSPu25ZekLhPMbfK+1/Xe3XTBWPM5y7iW/lnVKq9g6vkXWwMiv7/+nPWqAu8AtK3MqLYWVyqhroxHqV3QxAAoXg+RIEWOaG6top/VvxKlwWYCPYnOfi8cxupVq6yUrjlZ5rs3CdDU4o0FMEd+dWG2nptvy6O3fdHhtcTBzShp+TgIO8kbL4qzdPM1x+dOr6DgtBhvWXkKjl7d29HlmsUfHikf1jG/PhMnDwW7pNpz/bzl54KR1H7zZY6rhF/en0ZzqBVE6AZi+9km088HlbexEnoMCeEHkH3LhO6qh3xTxyJemqo00jVj3/HmPumhvrnTYOEt7aDoJhFDtpAMDvOyQ3cLSFsUxNGU2vmdpSiv8G0u2+YC6NpWNl+LPNBjLLuERr/qY3BLc3wpU9edMpYodOMUSYjqLAK821fDqR0jYDF/hSbxnyZsa/F7qMG7KeHFW6+U9DhfMglyFTVudTw1t0odk8upQ4T0MTCSdJdK+y329rACWJSLrWatICJdXD/jHTwDgfa3kRa+8TdtcWZwNjocO2IzHqJqvfiVqJH0lW3WjNiSy5WmsknAAQAiQXE1b852LCy/DoyVriDIyKCErsoDCqrykC4//VIM7smSTw8igvoXKs6RqEF3p4IbX7vuBLjOBDB3uuTdiWmDFnmxFZJU95X1B+eBIUCQJ+Enkqgg8jG4G5ZPzCQb4OJPy643VfdHcz7XbhWvG7MrbWHpHZ0iupMgmeOL7K1ubbYIz3VNWZ9DzHh4xcXUDoAxXZ3BG8BD4/ZIdYpWtrd+ETfMgSkiRKbeCvOSD60Hkk0CSfugoxEMT2vVlG4M7nr6LDNbhFcust+F78PM15nqaBFOyWZwhrLzt9DgG7h2Et4iPXlt2DshoBNLPLz5lU+CykRfoIFa+xjkKJpL2MrYYj0Hbt2PgFAHXy4ELHxNGz4sh5AtKVqwJOruQGgFc0ezcuKgYYjUu9ZL2tLdcKj8qQ59QfTZwty47N3iczSX2mDnUSrC4wqcI5ejHRpDWbFLrJO/kWn7l+IcxBX7h71smY17KYqlvBfO55jy8mydOJSPgFH0cdrtWaTIupx4KM8M4LVgmC87pQE9Qi3otFy77eUcVF8eoNof4otIwzkIApHqBwUnT8TMe7q1n4vWbF/F7h1rH8LU1Ku6mu0XDH0MhbEgecu1UIDgwvgHrsG1Ga6pkpqh64jrAZNRqVNz3ku8/mby97BfdxA6jqB8I0GlJeztbVHT16SAdB7xLhHjdMg5aZY9etclYEoPJA5hFPcFwVHD44a/p0ad7/JqCBeV36WuFeg7NmeOaHv9Eh030r6wj1dBRcDq7v5AB6RIeXiFcTFx0vyeBeADDeKVBUaaED3i++7HHSXPTHvelt2P5wssHmspL+O+t1eM2haAT/1UIsRG8O/tDA2HBE8Q6ls8QK2y2HjHZp2i8DznZ8gh/oeGpJfb6CV9ThVlQ4pgjM846CHoziYqUzR+ETwUlyIdmGajedkmd7WcgzdEs7JH/JzIGkkUU6gaaUDTArSHVf1qXjkDWxGCGdLbL4SBVmz2Rcqhc+l0Slacte77+eGtuf2flk0A/HlNklWMvPT0Zou6aTmPriTEeaLKCXpa7Qlf1Pc70I22xqLOb4D0ABzu1Ulk4khyYkBRnIbufndAPCrGDpck4MQV+7jZC9rjjG8E13CdVsUfqDWgkejhpVKyJ+beVSRPFNjxOHV5K5peVMG9tP9XYWwCqXOW/nnCREIdqCQt+weI8RZkjaAeovULQAVUyNSbXhuy4hPbx5GJUGzZaJlPCLhlbQfBj1UJQKPbpv5+M/aChycUiDzB7G18I7/Ei7a+nijFSYBPQs9k/zhYYEbsxbRut/nOui8eUo8jR2arRFrLSQJzN/sp1SMxmKvck+VKw81btoRn2wbYI1xyiJsXjCfBSvkDHt7Ez14aHQoVjCAIoTehvFA+dGx1DKJwPOO6QqYMoKxVnMsVN+8QDxN5tp0KHis847DKT9B8Au05qNGKqvJpd9GAzebNvuSB3KsNm4cZUiRZeyp8gtYzJ94CmvkZoC9MO15nBk1YE1y0n/dpL62j227us0n6rzlgKLiQWOLZ6YtCoXJ0JPlhmnu/+Npryu2mZPaEOA5IwK0UPUPkURE1UwO8ZzXhgn/tojSZhWa0obp6DNJ46WS4zc/7LqjkOnH9qkuwg44Y+8tWRrKWDPNqN1NuHbQdZzZe9ShPMF8MLrmhDbo1nEQyzxv3mrGxlOEwLk08ST2Qwi+vN2UWbRKbVy7Hl/dkDvtsliBfepy2AbK5xax/NZfGdoznh/bOZwLKCUJR9wOtzvzxdSQwLCwPKkl0iYJltxvhwGJS9dmxYhGfc1USI2oVqfMsXQbQLOl5S+QJE/NH/d4oY/kQ9mhXO2SROSA+oQGgo4nhcY3JIfK519lk5bjM1NUUqnYEFikpZONL7Z4OsoL0uFGGXNmL0VOe5c7PCX1rwcStw8WzEifXFWIu6dGJnziwk6oST2/7SM67plLR8U6JZltD461TjsutgSXZHlwuJ21xw/oLTenju1cD8pJy6vQDq4udFEGVTlzpNqjbtxQSUHVTNI318C8CCti6hb123AHB2OG2U74+Ow5mrD7fQ3qFmpeB9p2do7/GJIY83PAOyTj7nIYUUFDsR1BcYQnfdrWDSQkRPj80Iqe5vEZhxAlpyvdluslt0kmaLBm1fNpqFpp4dLTZjFdUQbb+5t+HPlFShH/Q0xWY/N0f06Qs5UL1rYMTMoFB5gyzeG+MomCOhgusmhrsZXutvOJI9/t7TUn7yuVwqzbrJLZ2Nu81gNAnRtnxChNz5rAM/l8ppTKJ3v6YMGKpIFWIU+HM195QzSPsrBwSYDI/N/cv8sRLZyK5z8KTnxPlRHM0e/l22nW+SLleZn6LgVf3M6qaX33an35+9bqNl52B4/N9RZ7N3ZjtI33r/RnoSBbwc/j1237IzezOS3ltQd8OU8CMDaVfHC2vcGXP+OmPEfxKBZ+3teZrrrGZmefHG3vdtPt1FIf5NImPWTREiHMOfwkuDVNYx4Bz5pn20135rdeQNJRbauN4e6uwRFgtR6Ha5aA9RYqZI37T1f8r91rzKwvaYMPomAQLNEMXzi2zL9Ulcd2X2kLGk0pxKXL6LNB+lrP40WjksK/7Sh3rK+nvwLLUfGtD8FmtuLHyRDN5PTiQSabtka39SphLN95+9Du/vgOdEyMq/4AA9DSDBC09acVqHfO8iHVUSWuG9H/XQToqzR99ie+YkBvBc9Et00vdf99d27DwE6l0WP+tGVgz7PGG5eRJDsxUXpGFWTlD+bDIKAQACBlOW/17g2x4dmF+nQ1L+YBporzVnZ/ESQHe7Y4j0wckfS0SxO6YkHg2kOlJCnQ23xhwILNFuzRVYzhl/lE84Gf96MjAMyeYhv1cXbFU1ZNgS6unDKGOBhdhng2pYjTxyXPLFL/BCWr1n4IiQJraO+V2SCqD8rN5lk7L/miO+uxpoT7qhx0BL6/KGzDN5ICfSl2CM7oFvj4trB+yCHtiqOdgj/ySOoZpjjI62OGjSuVpwrrb5kKLL+f0aonGmDJfHszLJZMBo8Fq2WoK+yiyOMnLawFnNvTeMtIr9J8qPWFZZEGb0HCcCySo7p52sQhmWqt6EsLryySPPBmxPUW9OshgiBn0j4f8/UBjX0PayH2rx34DrcdfK3VJCp/oaa/3YhtvtAblF1Rf7uT6xYqw2CbCRqGkOqL2N09w0UlcgDAqciiU/745M54ijGYGhfJzIW4ccNzRp0SFGKEq7IluVAtLzYw7OGMYyg66vMW8GWGJODB/5hsP8JFAWvuDRfWOws5YzA0uW5Wd1OTa1ivsiOl1ouJaos6sKysOVwb5mXLj9fuwsC/4JvSiYfvdOb9QFwiv+Ks7vnw1f3K3r7JxVI5Utmt6viLxZOY430ef4Y40UPVSHrZdXr8wFcyfTJEHEPUlXAzDZw4Arh3WkgvJuywbeIhwKyzUpPZWYrWEvL0fLwcjxjF3f8CN2Ej5c8pLzJN7+ZZyJ4PAyqSWvLdt+3zxE4tHlZ4paZvtNlAsE/zaM6zpxjXULFiMcbfRClGZ9U9vS1kR730mjt9rD9h0vAcnLrt0s7mfC7rutqlFxB7LycmvoW6j0KN8ALjNxv3PwQAOu7NXzLFts432gJfHYWRYBPgATxnLl9Dp7XORrcPxrGGptlze9oXUM0OjQtWGt1h43tgDYlhGukfCkgoBjCGVoGAJDSPFjY3t/NjeBYM3joa9r2CbAgG/V/3D3cwmG7hQ4QSpulg2zie+t9la/nPjeabNefugHSgpsoedLUR7h18CgQd1mdLEXYcpSqj/DcVqtioovjnnNYF3vgLHXRpTNJAcRDLaXSl7MUDHtTEZVMJxRm5gFjzW9z5/nFgu9MvW8IeOizgfbrN30k8gSIMbi+sdXhChFpcaDOoJgamnYpRxkrdYxZcQFTrQbYGiHJjgnKDDymtWbJ/HR0eN9C+L5J8S6DxGvUrSPAmToEOPYroYJ0Sq634vVTNNWhbXgWMYOyipFsuFD+y0OKyikRbztCFjG3g6mwFzyKlW1BwKfg8LVhAXmvdmEWUEM21qM3rTsnSlG/YWpVzksLC6l2wNSyR3jBWr40KkzEO7Ub4NVR2cM/NqKauYKNrJtvPB2voOA3ZCCHpuvn3ukqvJw32kfvWSUhBCOyK10FVVeBEgni807E3xWA9k53/UyoUxbwHTKBCe1uRBW1wFAphoUUN3LeqsoAOp3nFOgsmmxy4UsOw8s/W29QXjT5qkoeiuwC6ldLQJzV9VSQYDbSg7jaReiuTBdW+ChdlihgMgQzbxx/v0o8TX+S5nJkFmINaEI/veAnse8jfVa1dEq7b1CHQuC/BmqznRbrrL7dI887jEZhGclpaBQG7Ukt6S48UVJcv+qFwlp9h9CScGW0YFYz67WmhWHstvdYWqiCVmkqEAwCYmWglJegFA0YEUhElLPMnWvV5iiOOiMU2H7Pl4NMLrYfy+5uD2xKOwU4wot22V2jGq7h72CT38udhnvbatfRDDChvn2IW135Nn1yMMwH3rs+9DPx5vAP48rIBW2a7Z9W/zG94BFJj0/MuuuKdL70Mj8xdLNfddcjsyHg+CxgXAk2GW/+K4/10/eT4e1lStfoTu/6+TCQVDv89z6JkSgJz7OLqhG/NwKEkBGiMeSPVlpRXP3epu/VrDUVAAYG3NhyG3wEpweW/P662164NFSRG/Nq4HNxmyEZj6tSy5tlBZ3gWCErk8/9WLmExZPQZGtzTViRcOGaorfDA/mv+WfkO044AmIclD2kWJLd/4riqIanU+nXc6Q+QC5D1h4U1gw4PIAzDhyO2/7XgCT4/G6hAoEKoWSYbiA999iv0X0417sWxUDJYj8kb6agqIaQStgRidyjeBQDwCK+iBrNAKvImsxRujqSSQXrYa6zlKH2i9pkwrQ//n7cGC+GHftfjO4Vlv26V8R9088jQ2JnPaRwXt+DnQOic3IO30CqCICCPHyylskk9pJCRcRD2jI2lN3KEM8hiFrW8UoZO0JG2s5M+/zKxQSkurxDv8SQFwCcs8nTQPqEDxNaiZRTurcgcwzZxrHtyEL1CYpelGOyCh3GBtfGDC1YJOWRCnjz4Vs3mR0JBV62sFfsmyE8Nyv1P8uvXxR1a4FGlHdNC+sAVS+XxqRloFUXYl3wqg3LyVkMNR60t8wcc1LJ6jJucEmDa5jvLIxfwTty8oIYNI81hjwb+ZZuUVaPRCT/VWPT6u/tnHvlhaGUzJdrsYJeIbxtbJxzN4h3P9Em6Trqvewvd1xvAIiHK61kT1L1iVErjL5Vj0p446DQ/XrG0pQ0PjA8gM9yKohLt3tiqS13o/e1EDxe8ttceo0nwJS6/DmSlDww7QDxwgmokpDCf7N1YhQ0V962Yg9hZoQro4Xq7r+FYueumpgIKh2Zo2Bmm4NgHbjYcOLkTp40ujJqWW0KEqgErIJJ0Wl6YcaplxA/C0Nty5vNIJcBPqIzRfs/avNI7E7wgCwCsEAU1uAFUok5kKIqxiIQk6BLu9M4RCBYQ/00wdKfcx28GCtJCNYCDVVvk+J9yubvQWNJ7t3KjUAGIJBBuRdVmrISnM1zI4MCmumPk7kzU/PFnkdPi8MY8VcDU8164wGt7Y4fz26UTwiJbVxkg+IUdmXpPYyMaaXJGzU0hOp6ypK4jjmxO4O+KCh3eNleWYxN79pLX2UuNYjPdTj502ailYDd9FRjoJDRJZxxARZa+DnfmoLMNJeA95nOk9QP59e/15YHWfgDSwOqFamf6pS9oc+tOqEB35DN7RYy9JSeqqIuQOArgy8rt/YOsdDGFRu49CdkGHXQXzl5VGJWlyLVdmj+w9TDc4ByvqXGzPYugUgA4Q2gHTEVZ2SDLH8sX9wxVXZpvVYeUWI6CLbue37u5siXqd/knLSbkys+/0zfh+WfSdnpuRzlgtjih/b89bOfnDoxjcorD8edelPdetK1/1FhIZUGDiDVTqJMV5kc8ldxuteHyz+H/z8A9sdGPCu35bn7NchoSqgKkry+eU6RXTr866/amdDJ9m43MKzIy7g+vPVbVsmjjExxbxw3+tn6iarErv8iW666yTfkecd8zeGoM2ff5DixT1PNpMOyD+aoflWo6ZzoW3m5kBtoMbYLK1L0FckhvYUNeKBUZuDAHhgVs/7gQpSNCW2w0zG5xRuUuWPCOgcWvU+tRa46bABNGw746HB592DfXrhctxMGxTwvnazvL1+TkHjEA/4Aw1RecfPcT6RgzZQq1YK3kzuWI4xT92/UzE/agnTOhNtUbI3as0K6LSL1p4u9Kk5J0KLxdkV7O6Rxs2Bdishni3bduhxmOekRzsD6wZC2wXN/zHsCcEW8L5jB9/i4bcG4voJ1zXZ9xKYzCV2A7OGvH+BEcxdq6DOdFslCj7HNZ6Tz9JCIjVNw3MZIpforZCJmuzkfvd5EFj8tSFp9coUAdTELd7RBeeFZsRNSTghLrfpujrVw7Sob/yifU/2w7tOdukmI5mxUjdiUN+WrKC6StXvIwg6Coog5LuKmdqg6zwsFdz8zHRR/58DNJj/KeVEchd2uYss4az6dY8Jdj+cf9zGAFOSOWg75Glh44rPOhtVWKrUYbyuJ4xAU1MXg+0soaguyw0FQHv12zBCyJqB5f4AGkW67UhOi1SRZxL19ISuFtVALYeKoBsSoUsXaNA8uXeMgM3dl8SCwVTWLWhwgnCknfPO/6wGTJQ3F1pXXwieP0DgIufsPXyEw9xq1o+EW7FXYKDBB5OWw0879ZWzzxrwIQe5otfASOY0eHCa2jK7qpK7I5NqYLMFp1JTFFgLS42zkBksFPS3jm+wcZ0+qdluKwBM0sUZvDDMCRphSgRzNRu/7G6lKgBOS8DfShicVxBtwWiJTILC1YcFxLc2FoFte4tjtCKt3UHXUTDLOpmZSH/gfFjbhd4E5PwjDR88HM4Ore2gOnRdHbpKD3r4sd1LE6zCRWfpBDvQoEPsgw9vaegnDLEQ9bvudp+7GIYpYzRj9cJ+Y4Lojhh4x10FyVvL1vCwBcrrlw9ms8PvSrAjA23FioREu8CXuSsyZsnUfHynK0bEBh24CFXhD5k93NMktyWRDO4ezMD60S4f0GXB18tK5dkDUwNnGXisETRB7TN86qRStZ9lp2/H582Xfa+dXM1K7UoqlUT3ieHW8ikyOXP0getp60Pwys5CaBmJLjtYHenrvTrGYwsQHadHsUTVu2eVDBs/kAOKOBGoy6qzb7rYVx7uMmLxb51P7zkuCinPr2/TwXmnX7KVHZfxR9taQDG9m6WIdZuxrzrL98HJlFtBoRXj4O3kZJzOFH2h5TBv6WewwB1BX8MXXHX/iUBOe9l0TI5gbYbLxj5CETT6p0+uSYJTsOV/cm2d3af1zkdHFZNkTz+7L84et/H4Cu/v+ynef3yZQXduvYlPJTIUp6sqCYHXzoapDK7Q9utzcg7WpmutB5j5aWf3D80eLs4xqXOK4vIa5umzx9mze2320GifHCIAADEOBeFrC4hy1EeYIOmdMlMrfgv8rIoVnCW1j135o35WIVL/TZDpr2KlM2ryz1FxemCwhFtkybU4J+3jfC6U1Hxgd3DwGtZebmviGyIYGglGE+wIvsuCrFD964n64VLRyRqjGT0tNRj6e8EeE68RazbRzThuICZmMIAzNJiiO86kpxOsXm8crCzXkzTAnn0UfZ8RJflNk0mm64NibsafS9Jti6cLlS6JZPgwu0fUzqL1zkwcpTOTqbaRppC5ucBW7QoOj/us3W3SdayXE8XqiA3I4DjS00WJY6l/dUEVBuncm2o95QRWrFv0NZnUD/jvqaa9enx6hJ1jhLg2OqjnWzCpP80uMjDmgZYw+Cn4qffXPvE1YSFs3s5YD4pFq4pdsAvysCYhSo0NbkJhAjfuV5xptpqXUmZ3HwSbnCLSWWpA9jihS6POndZCrtW/uimsOcnhJhpzAZ1DFUizzM0FVCDs662Fs3y/rgibNAJ9fGKcgPAcfKIRUmy+ANtMdj66b1CS0ftoZRVwWjs3X3llIVR96UaQMLLEVUf5COjjfiRk8Qk6UiumLubHrs/IqolyEQeRcHYWFKCpc3+QTjbb/kDkaUNxwAsQn6FCcl82JiEJ7JpZI8w3Ccmqr7V0nl+l9jfcT3oWANh32lZxC5K+VctopBiAYXWXND8ou21/sd7tE4x/BBoYsNi1MQ8pVpyETmxIl7z3wCcSlPklbA8TN1+Qsu5opxQ4TFGvdYDoiWnse7+9XZacqUJWWqf8ojC3pAnRZeEwVQeOXkfbLZM8ETOTwri3kcwmL0K6e0elTzwOqQr4qsIU61fIF3SEAZjX24kfP4UfFCQj7rxFWqURdVaorFwZbL6+Q6T8rYv8dOI5n/ZNLD57mfVHwepWWnuE3srWWbegWLWkTDK/phIHp9S2f9kQ0Y7gz6vHlMnw6k4fjTxPUjou3s8V9P9I+OQ/MExrktPfLYoZSM8h4ubN77ZCUXh+Nx+Gg5MRzkD3pZBeTFeVLtujob3JXA8VXzc2vfefg/M/q19mp+fx7z8s4rl5zH0HPugcxc+neXco8pUezOQ3D9x9wet6MYbvjpywOLp3q8TNEw6F3ZTl4IchA7G0/LDu4bAsvUyapOPqg/qpLS6YAkpJpfymlt1mcckJ5G3dd9uvg62dN+oYYuRxxDlqg8gBff8kaQg02x7Q3ykafQljBheYJQZ+M/6sEasWMhPAs7NRaU2sD7SCnqaSmUlvSoC0uOYYKayOFtkN58KnlfVmCRFFH7zLNPApfsg8b1PZ+lVm6w2/mUbTA0gzImYNHZ7wPRACRbhPPsaDQIWyqQyxUbrK20LA9lezibx+7AEM12xNLvnh+L2h6h+FIr07H/JHol91ZYcZTBE/YZBvWE9nH4XVxwjn23PHMuaP93iYh3nITGNNyW7VtZqXsIhLnBp+KNblRYxpIxymxWhimsvA7UdaEesEwM70K/EaZD778Y0esg54mPZOOyEN/N1/SRRhX/HFE1WWxLrgwoX1j3PgDndobou7SBw5p2e1tB9euMO8CY3AmDAh74lCIcYpoDY0Tcyvn3tZeID7Gq9EmGeVDdBHm1n1kkCc0glc0zDQi7Pe+dfeumyWqg1EwnleigmruVA0v9Ps22HEeT/8YOfhFex08Dz7/HmM4MfFw7+t1q/JlIzjr+3PwK5aBCWgtiaL2XC3yjx3bRhFm7lEf+y3sE9GAkBcJKYoNg0HyPg6qksVDpH0X9Pdn3XJMFPN9M3wfnvyzS0/yOXRZTf8Ru9pfee8Na0qCh7duNQQxaKRoGaV+Lz+wQec9aU9hUtyUHoTPdNSPgPlD5fL8LZD2JZjmOx6yLt5WgkjVacCeccjqMNyZiDbsfLNmycF4TSd2dywdovWRZpetXIaKJR8ArZDSIyFrrv/6O7lOUoQhstkO0chN4Ls4puupm7Ld2oIIJpZw2bSzV83bFDZpD3VZDu31hwuWomWMBaNpf/oFW6S5GBpJsoTF6oyQVflPwEcw+eOtN2ScsP4x3/LapkAK0eIGd+W02G1jCmHz4qJI3psHRD5PO37t/tZcOnSbOrmZxwLJw+adyApbqxCTSoR3LyaW2Z2apE/zXPSOfFIagxDDUwFMYTPsyOMPpoeC6CMCRIIfzYKx8GV73w3dRy5JgRLnLJlS8PVyTTx+goRriPCdc/gbLLM4pPQzwCaR0DjJ9ARHjjJRavkxHWoMV7Zuf2KRpFkXUu+yl1wEOadHrR3WpbM9lrS2OnB/0xgOp45C6mj6YdzzVgWbnlnVisiv5w1ug+dp7WNiL+NRNQCG914zhkTR/s0s3hFlLiKlwK4uuz8Nxpn+fwLncVimiGjXlPPvYazn1ZcCIgwv3olrPNUjg4kdSwZz0ccBlyPWHTpFd0OK7pNKLqdPyrsIqHK7br5A9inznKkn3YfK3JuPFESCFqz3Yx+gCQRW9UjhrM8wViDLDKqcD3LkPDJRYL03tXyfunWuc0ArrCBMwFk8XlGMUlk9bxMugea6Ikhq2EtVpFglZjtsdDjWuQUj60lZrJMTjoZqG4L35dVSfHHvrV5KL44rdz7q0o3p11Pf5lE7v+spIU978P4MfPXszCr/4+GZgKS0RORu03ahMDVpllTaxbs0DuuCXguNPrFj7eEUdfScdN7Is6q11yc+r4dE7gvOK0pfOPBmZg/lyw/mmWYxUFw1B9mMbqcNxwgUFhoQA2AhT4LACk6hPORBa4I04dAT6NPts4hCYMNWr/p3aTSesEUwGAORRNo0EMDyVJtLl5m4eHDsNPO7k7ebR11w/hoQS4gMxtYiKSP45+O24Z0xehMOo492aZTXdjKvpmdAI8OO9qrAKV0a7IPQaLRW5jpnymd7S+giO3t7Ldc7PyDurAAGzxdAjs0vUW359Ndrxn3kue44oGnXuuEXFbQhTklpxAwMgTDyDGwqTixWQThYPGwEKdLKmGQyvjV9+s8Q8BxBlp1QGDjBiQ2HGCd7wHoJiQeX30Hur+O4L+ZlCkunD2/VniKZ6IUYbJdmOX2XoDW0QGm21J0uJ0Lt+uOm8GOtcpk9IcUi16s49ff7kHQREDfZOueupLl5ll6mSA5FW3RDmiqGuGIU7Lc4kN9PATTzeKzrl1Xii6eda/2HNwcAeCob347WvkUlyVarlWh/hoEILovdnWt73cEHJVWECgzWfk89iYERWEsV+GB8qhOUk2S+luaGYXnI5KZJVDqDMMIfHYl3hcKt5NVMJw8hoi7DGgcDzmjDFB4X51Uivzy9Bgoel+4jRZukwq3qvBMi/EXFquIUGJMoCCCnDGDhQifmsOIGDQWqeF9Lep6qagInOU41YvtKpa9XDJXJudyrEfISgkCrujR2p/gost1raVrURcCr/iS1SFMe6BLFYvOuljhUcbDosdw+zDY97b4G9x5ghc8m0UQGm2M4HNkweXoWuh4aHBBRXhZFe2KdvNi6Vg06h3K+435nQABhWgrXdvi3WSkDlrOWrzaCcdPkTgEMzNbFFB20PVCv/9GwW73+6jFMiiDDDOxehXj3Tb0FdPBhmU1OOraVCDL+LnVd93k1L3yOsXEps3JrmjzS/5/Y1LI2YGH8i1B/yZ2HUw/iVKnCV+lHkgmNMVCSGZnuaJf9mtsePyURxO0q4OkRUMFz4IJPJldaMqboiRqbHOGkdu+95uKoQBOpP7QLdP827KYiislVlugOUtLkbKsNlLcQ8Y4JX7/5/etrRwHnnyhv/TSezjr4dej8KXPwyAB/BrtYNABHr5f3P4j1Pib1YacmiXUubsIwxtnCsKJvAigScqEr3y/blFLt/kskpyrieh4XNenypIfd1XEMKIzsZO1XOTOCa2D3Hn2XRRO86yCy8bTi/u4WbT786SI79eOyUsJPXNPwFgHpfSCiON8hj2gE7HUWMfkfCuwqsSoStrHGPnUuZpH+UaqytYSb8xMCXLP7sRDU3d5NmpWSsz5JIp/V74X++vSleixwglTqdfqADYVzEjIDqs98OWQUMJUM7zXkF7g4o7B7x9x0h++d1B4hdeoICA03hR+xTw8RWm8MzUhzXP7xfzmtfCKNaeEZ2mNB9NieH06hGNT1GKKlpDLaDJ0PyuUo4f7IRxjvyFTxcfth4jXlqzeE++C9QFYTsI4FfP0VMt/6iKoNCsHEFMMELrtFAbY3RsN7s8JOhRHOZL2T8JJ0qJp5upAt7OdJbrXguCKZ1ExFfQMqCaVSMb26bVFO4EqiFK95ot7C4v5ptUK4wrJlo5ZGf4A9EAL8aIVVKoYF6Amcr4AJ9IYT7EUJonZ6shqDVK75AaJSN6kfG/sSU4OZy6FZqQyYYJzjxhf5aRGMFMyRiyLXXXrspqt53CIUWr2oUq1ZJkJ8AZaQywFmx03jLYzy8xnsOc5UFn4tMJdv50vrm9iMbzE9piGzgqdyqpsNiH080Q5cbqVw7HwVCWwsSiv41RixZhPhqATZdUSxdYyZJ8okvLYIu4HPGpvsTmkgt7wgPGw6lxWgA7muEMPjVto1bt3KO6GF7k3t+BLXw6DMbIgG1HHL8uGtEqxsGSPXf2KHRHajFJs1W2tIIZCwJG7xE2E6uIh+VLsannIy3MyFJ4AbqIQnBwESeDvskWRqyCwRPv6UfSZuDwxuypNknovlV2yzEQNAy/yDHNAC4C9OAcrVyK1XoI82GB44haT7rcuThoirSycO4a0dhyMNnbUR/b7UUgu+rNZSQmbLdKwiXjXTOKrJ+HGOHGBpYDVLVQDIFYWRg16hlF9SCTNJg67cVhuK+Y5E1UySbZmxXJdlpvzS4jG9g6fAo2Zs82QTAe/9v3rVkP2J7O3wkfK51M7ueZ8xPrGv8wVqv3/fh3///1KrD8q5gmEVLttBefl9/MHZSPdI+BI7L7d091yFZeiKvx20vAWadVGDipb7ZKLyuUhXrtbSCN0NSzo5qkNHywPUeh+oNXK0SVYqYpryazVEOjYtzJrLoQ15ykn9q8CHfdAcAO8AV1dz7YuZL1V7J6D+Qz9/cxOfiatXO3JYvAp0UJmomBRSfs04nVZQ2GqM0qkzt8muCp8Ts5S35/gB5cKaHUsbXXxXGGu22SbT0aEU0Smk+htnmVP65IjxS2jPk5807yPMkTy+Z+Ps3rS1GgB+QrDAqu6X9EV6LuIMBM2pPSKJl0nkJu2asIzlZYJj2ks+ZDzMTzxxKWQmXQRMX+6kzZC7BdezC+SFul5O1L8xoJ4RubNLpai3SjalZJ3F9vps2oK0K7L+Jj5QNluPIENHEEqefxEs8F3t/44SoUrcMTGPciSsnpX/c/zHCZV5yoEabZkT6+qQKkjnub1umVKQlUi6LTTFzsCE97mF5znuZYahWYHfDuxvJDUrPbbalae4W9dGRo7P7lR3DE3pxVF8xMAmYOumHA9TA7wlXlYmmVu6YzomSVKXZWWX8hS1Wwhzn2eja7CHKM9q7G5d++15mEot1eaH5BNwiQ583HzlCS1U0fsvm9I+k6HJCZxN18s1W1P+W81rkp3EfTWnQfttpdBo/Yk6Fe7b/jcXQVdtIsrTtsuYtw25rmvhTC5avfqUjv8jiC7PZoKScGeJwXBdTg0oz9bGGFeuiC+LM3eypjC87661P0teA9N3Q0FiZdwTai6oxOkgqr16i9g7W8tZI2lTLhZIUFjKE6XYQPMMGhzceMNMEIDZCZ3btGoltXQ7in1J/MFQRAzq7vIa02vumFrGH8kPdpvDbl608roF7iRfAj1YbEB7RXKZiKQEbCRaghRDo4CGMYPL6ohMz8xvNVzoZmwe3WpmrbFdxbY2/hQ+bRv7CghWSxyae1xmQ3aQvUR/iik/IVzMb5icfMb/Im9x1UVR6lEiR0VwgEb+l/fthPGFgYvPn03ry/il9TRyKcbhYjBb9rhRDbBVlmhEZuJlroSxyg/O4hpooW+Bygrh6hkhTEdzEVtqfI7Nj36pjiOlXBf9oM16UE+bGBpxnfJcQVDEkQMPflDhbG1cYe4bXD2l0jGSfNLJXGmgZ2a1h1TkQWjnWqbD8umCfzLDs+4frDRP2IQXHgD5AzlATwzcDUkL7KrMgIbcXeDFkrs92QMbNghCxBnkRXbRYrpBqS7LfCTid4qPutuY3AIM4uZgE/ZJpuGfmyfRSATUqAdQ6DlaQto3wjM4EF6dkDCypJaxV9d02MQh9mwlKiB+4gQQK0AD+eQY+OgehYzq/OKzdf64fgTVXcxJClBcg5iEi5ka3uZIQ3cVDF2yuRI9WRb8YpTgQsBYKgDIe6X5kh4l/SR1Nc2N6s1EudWwxP/VqNhhbOCi0m8yHHXtcAHs39g8uz1uZJtUPidFEaA1xmXtzPq+pJuWaSehd0dYRz0zM4vQTAO7mm5S3o2IqNmRZCr62vK//c1MulEk/NdG8kSu33IF+eKdqp18ETc0M0RmvLcdp2i4cMRHQ1E8aCEcWIaLwKt2QU/Ri+yKbgtE9N5YGQpvIO/zHVk06pxmCOJeNbFlxOD+fMpzx989k+I+4ibpiLDmwifMe8TjcUzxIlFESUo9JhOfcgWqMDJC+cIguJalQ+sUwS84UPp6fOHFfNXrd/hAkTQgUk///ekc8Pqkf7oejJxGPwytG9OzsjnkolIHLpRpcmCVVJuMYVjFTQpkEbWCWilkh3rIkocpwpBvzHYKK3qKyrmIZbWMjuXCCjgGSdgxVjldDalf/ZrVlDfA20MzQ8QlParg64CkPoTR3F/PkvKyjyOA1oE5QYMPOZwB6waVcNpfM2i0ZGrn9E5Qcu2aa6D0mZwokgXi5AjH/fhqUHkCL69XMo/3+xsk87jneiDVwcALRHHuHYBt53bZnA+lJHbOPJOxWKJPreKeyq+6Dwy9lH8N+oGO1dAHemt83w5nqBiYZxhJTw+As9obxqhw4q1HlGJIILdKaSDtvdZh+YXET8JYc5nt3xIRBMQiR+waTimWW2Ip97sfKoGgLMb5abbFSNhYy0z/uHu8z5QzY/2I1dBzoM5kx8IjvHPQ1YnvF5oq316+ZAcgI4w/gtKgVUpXmVtrUFyUbzH9yBWcFaRMT3FW7aNNSNLS0wVI1aeTDGbEg04Y9vYNXK1BlEOnANGTnFCsb7hQIBcwvu+DXjdZVyzt/eSneeb17mp/pQwT/1n+Xr+fCqmt6cpmoNm2MSU0/MrLkpLReVSp2ioVy9EsuXgJZKKrBwZeAJG3N6GKsImSAD1Rf9/47SdywxKJcUoveMYuZYYdE9gCGtItExcYpgR6JYJ/FFccgc/Ncb2xMTDxiSxwMMWpuwU57F4eR8j4XkcvPNjNCxlYASJVIfYjnRDeDzxDBC14HIIEcBd7yp2eOtmPwD7BfZv5u2MBYD5Lt3eEmFIX5OLK3gini+nw1RYdYsuSHWrunhhg4QibSNnhmRkd9fhfkjA0gA8FqADjMBMdL1Rs8ByCYdvHtJkZ2h3m/FV4zC4YVw4IegwMy4BUswLB8/avA1HjC+bNVtGNzo2WCBnvqNAJzGaMk0OtMQNnmXJ5aYx0MLKDHl8ZkVIdFKba4G1zTshSzTzVJLJdehxRfHWHBXuVVduITbe51So/wz9SehfQDW1f4pwsP++kV2eDaQO2AwLALqtaaLCNff392ZXhlIfJ9rvZTNSjYEB+aN2bV4OSS3pemPDS4IF/0k5uWNNKZYA5TmgO9nSvbIqFkJ4zP7IZmZZFP+2CBH9TWlIgXtlU2t5Id5TFcuk74+q2pJ6WPQZNvHZUpm1bkjzgsiXfSjR6YKHjqLAKxGcKJvLFnQM5AyAoM8nfC0Mb+P+EbrN5j7uMNokCHPDFux9SqdlssWTHDU0p4QoJ89sdts38GqxMfcUiLRbde2gGTaN8aX9IvLQC2OUCim+pEgrSzvDW98mu8KgCGcwkZD+oKOBeFZ2ijyMfNERdRSchT96C490buIW6t174IjVBGG3GPcoY82KyeyQHUgBwvgk3jXxOzr9GTZp+I/Ag7WSlkIWTasFey/k6fbnV3PXSndcQGenKP3Fgw/vkm2NerPNdUCyBNQgP0kNZLc5SkmY8oaMc7vIWVQeRS5QcnS8LDu3J+s1Vk5jMXpLD2QNp/DUF5e4zy287PlmKIa5o/uZIA/DK3G204HuzNQGPnLoJVjsKH9veZ7+AcjBKuQnHQfiU0X8gdnAAO1ULnZCiMDrHJBt6pyAa38GNSG/AKD1FR1K8iV75KEeHbiCJAkdgiCVasHF/DfIQLvSi5YBYj5fvAYOHv/owMW2Raa2c+HzhaFG3F5lDjPjyoWOOVyAyw5m8sCZwWC2sz1gmXJmmkdXtrgjY8Z9LDAU+YxXsVuUbfxOCeYgU60fLXRLEY5hxM/m6KuGmGnVU0baQ+To8jJhyg6ZvScfEmKmzSFWLy7694xGBc9V1Fu//39VzMpsTFn1pRI+Gif2g5u+e1H92mSTCTbLbVAn+dWw3zzbiQ7UMgd1KyRbXNiXl+2Rxg9VZFC8TrZ1SPbfranViwoqnl4G15MSN4DtafkeohBWAHmBWB9VSADgb/RiXO50uVQ1tB2n9XT5XY2VAvPjwxUSJiRYU/SLxNJd5mdmj+c7AM5O8YCUrd3ylkorSUF1rIToGKhUjLQ2L3Q/mfe0iUP9A6SiZLC5plApKycokyBU1IXrdRkD+TyP1TTJnWIOv2aGZZykDkOY15vpHUjOzruCY13q+Zt0AEIHcblCGfYD6ZtpOyy9nPzbTfcJHgKxhXocfmrG0YUgzaxc3waKMPVtak5ktBjBP47lmFM2ddt5m/BTJRkDu4Pda+cIW2doa4yBYJ0COXt4iiQYnO5PsZeH8zJUkTu3urJ9FpJzAqzFtXmJvzILdbiIdUQ+lVXPhmefeyKyLxN35XbEXbkdRd2TBioD7WF24MI5H5JDk19mDZ8dYnCNq4JZIq+TGm3isWnoAVY0ZlHPaj4o0ZQw5KNRm0U4SRAiPhfZTi/mwyDfCPw2Fdm0pCwSkYkzJzH8BS7MYtWDdU4M0xLjIjrKNgn8kdXQxGzjd1xfrbEhgZxgJPzn7NQIHlUQzoa979K4ike3eXcSEuiRuN3E8zl57LWQPmQakMGqzptmitAWibfp3KP7IQ9fxZZQvtj2chHpF14TggPfJm4ICodWaw28nSmj9Xf5EWt+grMPYwRquTJH3ZZs06gIAc5qZuVq9btY1zDaq6zs5AP15vd9KB6zP+9zX4nm+0qc19swzXcN82s7pIkj4hI9ivFEa+HqQushAcpt527Q/Ka22L+rAz4KXs8DuxMFPJ/X0Oh9ljAudE+HyR/6vuevcLT17m6wDyHbrejvxyQSvqlfieAqRaZXLrDNi69gRF5u6gKcStbkTxyCmLpxMMrWeV5mcOVl9aGXcIdoQ5i0/u6+WRp10cvzwb2byx9DGvARZfrqymtNoRCQsal3QSqt/CJIn2LFgYTMKolaxStD3jqpDmIN57xoK/bVrjgu5+P3Q4lHI+xezUt7+9PJgQYbJpOY8XLwpaGMdosXENdtzb8H6azgITpheBPhLL1JVDvthZZWuQ6PmZgwWzIGAEDgWSvtBtvOqgtdhJdr1B7S64XXAUPihw8ZX3GKOO3KZjDQbIY+ZwuGmkFNzjI48LxUEEkbQkwdpV26BiKeNwCP/3sXlbyQyJdZnAiT5D0WRc84U3kplUx1UvHXzGK7W87NVGp9DbIoDxRDAEsODGEMDre67p9M13fR6fh4weDbUeWszT0bUYVQ6dqO1i5OB1RveAyuEsGoptYrmrhw5Mx7AXVPHC+OFninYbdpd0FT4dyi3s6qNJQ0cAtKs8YvV0WCSAkbIISMxILX6FSas2G89m0x3SO8M1+LNWDk1162qV0asUtiOBjuBGJneWLDUv0IaMdNowQy2zRTaAo7GMhyFoEc2fRc7I9kD0FNnp/8DQfOdRthegYcLAETPixQlguNJBqDeW7aQVgEE6Uh9/2sRrh14ORmiOKKeCPDeIVNeN/CKNXjgPSOCSXjX9l8B0QaiGXQFg1IzCwM2XjhnWPyJg9u92y87bkws++PXBS9vs4psmJcK9jbtTQg95A4VsCFvx7Yk90pkCcNsr1rC7CH5CmeBFZf/fGeyAhV9j8mlYMfrAi/ekzmwFBkaCbaRvGPERQfqLNSJz/8w0E19wtzBjwzmv5LFcrO54ShC9YT3GE2YOC25e1EVxkaIk5+dZhxKCuBRHn1IkrluzBD+NfO62kgGtH49wdfZVqttq1Zfv+zQJ+CSon//WYYk5dOcwmktgKkswSywAQyvzJkFkYEzZUMQkYGJpki4fuJaxhernSXayhbPHgxSbWCgSiMcCfkNEob9vjEKD/S47ZSC+qJ7Gf038mfU3OYyyZc2YlHUss4HXXIt3WWE0efaMhMB3ZS6TVvDyQ03SBA0C8IfY6hxgwvJuoi0OGCOtDp+uhyWThE5D9BqdLGK7y6esU1+0A7vSlABAXyBI+J8brgoJCnDWxKxxyLguRQubzrYNd2yuzzQjG7Hibc/h2PgwQO1VxbIkcMD3pLOs0uoHCoMNAsMlwhA2FGCwF7XrWm5jmGicDQisEh9X7nb5qSzxnaTqKKQCQ6nsjyp+yynOT0xDt+yqtoX3nrRBXFgntQsduk5aIpiWdWmUdwMVgumbDFptlW1FXMPt+SvXq5V75vWoxlZ465oXokf5JPrL1xjFsed+CMcR2ChcPZCKD1cQMRGPUM2CYoyElrrd05/XQ1kVquG8kh8OFvsVPjsen8wMrgts2pSuLnr2J/KSY4St2JNaovrWyki3lCzUxnBY/oPfK8WFCrsjIOisd5josqCr5vUqnGCD3uMgDrZF708SBY9rswYeUiCIr7eL9iNrKyygQmzhcFslDbYf296EnT3n8YVhB1MsZbvRErjOXSLLvFSr9q/XPWGJcvDyhdVvDyoS67y4euoq6ir2KHj5duJdmj7UkoQuwWkJU7BBhzrKdcILgN3cfN0d0zR9SRnVHwO+HmlYEqye2Wn43ifbj4Vvfrco6eFsE01Z2WkSRgIs6h3pi7xkWC3Vr4z1cO1FVzUq+y0NcIok1PuwViIObCQffptKuk1QiEBHaXq7c7/N8bWAfxhbthRDZxz96NhEAyznxyGB5FGvsChoylNI1xO5ZfLODV5/cu/jK63OjyhquIFy4Qutx4t0S4Y9tLXS5bi+YLMKeIERRhRzOmHjEJ1l6CEf8s9QdxBDf7z/JQW1oak+Ml1XLWkt0XfP2wpPETRuVDTVhemjMbyXsYbOTpnuFPeMP1tDYubmW+CGOgbbeCI0dL26LeOph049NBy8FRyBrKJx+Lt8DtXeKRHpsnpZqsIWiVzfzll/JB0kfQlWOHWqP25B1jJj4JgGfQQAv4yNoM1ks0MF5IjkWau2Xoz4sMXgQfRmPUa2EIf4266ZFTwKo7smKO/xmbmWT3PuoVqcF9ThsoFMYQMY0Toxn0iMqkiPlUnXjG+vO40Xaq/sFxw+6tutfKaWGoer3aPHVhoWEsW9Vi5hG1Al6kI/crCn3E92ZFsQ2tlh+2oiiKMZN/2OuUZx02IEyH2EcC3TAaepMD/xYCoMoia2Qb+uUqdQlBa8ha884K6EXN9q9aaDT1tQhNCs887Kh4ZqBqLQPg1TC1ofI8X/t0smjY/33/+vQ9G7IcG5B7/zWIsWU4KA0OsP0yt1++Tf+N7MTLPbj4XTxjdxgzjLRam91zB9UYptVZ9jmF1kM1X2Jvbiy7y1rV4xqcF597ym1dRUKu9HY+iWohz1CDVxn0oV2aBTemdHdnyIqGOJdXIQQxZDE0ykYH87v/GfwZ5RN5fWH7rT7lZ0V68EK/6sLoLCqmXjFiRswBI20L024JGHsZfv2WugQuZdeKy3nzhlCPNhl1YCWqlQTZ5eGdt7j1D2/rs6saHPt3b5P6QuPsChXIoyM0+SlkQZp7Zn74256iKnnWK4ZYe1FjI4HsCU7E0SLBPYWtHqL6scPaSXvSr7fhMQ87MEGdWTVuY5BwHdhCjfEzFEpBv/U0caQaxvgoDrLEAiPC6Z24YZ9ahOPwgjS6HQcAxsdVj+txc6sB2/thmKDv1K3i5jdj8Zk/9k9qAApXg9/A9JPKcWOI56+/hdH6slwp4fobPTniePxxoP797buVBgjsm+WFo2KiTmxq7TX/R1b04iklS/+66rPZzWT6UdAjQP/T6AEZHi9wNHsW8aiPOo26fTqJCa57mm4dsWaI1Nn5xSLnkEMANaDP1THG+vbMqYS+Rzj6mPXy0UdGZxpb2z2LqAz39ws7wVQMjrNzohWQ3C3mGq8Ocy6VLeMYO3f4o78WHLeFhac/DjtgwqiImhT6tJFttm8XXewcvR4iDsQZ4yyw8giuT2RQYH0Ch0oKIyBV13JkZZUy1Iy9nSQ9tzMoK8dtNUbBseOLWTytR7zW879WdNppz689vIiF75b7dXs3hylYslBg1PHzOaNpg7tJsBHR0SFke27wvoAyBzhdblGT/ZeaCAsWPjUF8vvnofdd+Y93Glf/89t8OxQzsmFRV+FS9vj3bYNYz50UmNkacuAlJNKx0jdpTniSfCs7dW5g8jOda6BEohy57dIuBYxB591y5/fxeLRBM10aFyeoeT/qd612RWdU5Rgb7is2u94M4qtdtkmR5d65wLOsUyFhMg84ot6HttJC1+YvszMBtX8m3nr9wOtlzN0YTza/IOpGWBzjdIM9c78L/m609c5ChwsTnU646fK55XkuTeaXwu/j1XMInh11/1yPpilo2EsSCR1Z4Y0FqoSsuMOyQvh5jV91RjO8MxJDDTM+CkFAKzmnt5xq2G+ZdGftpE55aFbUuHscSDNXWYi1/X3gBPYBCHqMk1TtKPIn+vkel981j1TuL77Xktyuu4+POIbXJaDLxzVnCCfOU2wRxWASg4vv9OQXE3nB3xReNOwpRzXcX2ipdmJSWBrUDHL1xeuynWIi+sgThsozJldftIbK5sh/kWEUN2+jPTbbNNaVxYePoc0T3fD74pbvKcYgx1/KSHs6tEN4Zn8kbJlXIPYK4HIkGhyMKhgN7oQYYwRrzTq0PAUx5jlVDLsY2GllmiyBbcu/LfH8VRnPMU5y5shGHslt2tcSRY9tkpYiEqVf8r+cGKRozC2e+RU7SLQ/UdbGf0rLXBamqwSLVsTifOWg1DcSpRuHrz7RORsxJm0cwWV3Y8h3zaoO6AX/I37rIVvzneuI4ssRiToWs65gJMdf7FVu+jSjqrbg5hPJgPotTZPazxZz8hucfpKyh2qU8cJScAV4hHih0FBdDyTIGNDeOZuPhyRgOihF3wfHIkLCGOb8i3gxj5ZGJtLjvFV8Z+NT9XW87w3cHlE2EmFeMX6e4HtGrRXLhKhpcfKI032UAkVIEvFulU/veT8P/05f9QelhVtOS0KmgmWX82zfX3548/23QTS0WeheEUpU055UGKQ8tXGQ/RdD1CY3IaZBqeEZ6/fpnZVts3qmEaTgXDQAfWjaiqZPUxJ7CLizrn+DJPrI6ll6fcj/LMKyNWvWZNFnMARumjKuKjK8lWEcpmQacBH2w8IUcsio/Dj4lSWwys7bbZb/Mx5iUUHpYVcuAKQvrthfh9ktg7tlC+KnD3FL2/i1BRa6GxpKBcYFswMdwgN0GzMVAmnAVzqzwW9dtyQShFYFNCa3fgFnuomQ+xte/N5Ca+zOPviXChw+zRyobmYZHB3kkY4e/3d+NqLgUfCe5D7X5I53nMPwCfuwcdW2tSt/rN526IJwlhOOptCEEsAPIjQFy8R0i6+ECcWICrgdwXpDyWdjhxQG/STd+a7NLNAFFLXsN3KZ701cUrATncAKpEp+rK4u7Fe3UsYRvm9LKwOsZV5rDP4YlZ3Edaxt527DkCbbgnQwx84QGCeGcmIXPxOK2csacEsSURP3zwhADibn8yq13pU/AJUPAh5QREGdQwiMQokKYaH6B4H9wBjM8YdFWlT8qtS47sZzN1b2z09NRwYXv1fBLrFiVc/y6EMdAVX2uT20pMHXY/OhXth0vbESwGM8G4oqp4IljOhrizhjYEjA8APiJrCR+c0MljNvvTx2nBKLrUUaGBr9KnymQJ4hWOB2uUBHWZ3vu1p/3Es7+CmuJBpFS2zgebT0Bmiv77dF6pZYXSYEnn7k8x2ydNNVmwfqj5qtI3t5bYWLLYncFFViIcONQurN2Te7BGBZBTIHZoOO8fLfXEa6f5Fs1wodqfyIilxBpRcA2YboJ0zN+JGCiq0fxHKpJ3hLraSJMq41el2XXPRs/C9U1wkYvAIBkfHHF9b0wOKne8f3pDbszfJiMbXXcM1Aq3rZRqBX/OkZSz5iZNRbjAHKpyB/InO5wOh6TB4nipbyItxey/OO/P7Q+U8Z6K+/875vt2xN92ty3Mgwuo1937bZlOQ8piFCc331wCHOzk5lOoWDBhMnhEiRtmf2TCpYfkdDsZZDbuc1aJxL3ljsU5BM3LFtFuOPTd1TbCVvkdt21jKetDD1MiMaivN/fk2nzUe7CUrxShngq3SF5liXxcK26fWngCCeqEJKp8OwbFVA57I/AzhFrUN+7Cc7TNwiDRa/yU+QkeANKoA/2jfDxmzJ36m4a13VF9O02Mm1sDAA/GOa37/zqDR8SdNstzxhwCGx2P/M/8KTNJoUnleD670q7J1Ht1qGTru1hKcd0X+Qxl0CyS9OmlNThk2pssWA0Em7kmFm02XxNSVsnXRn566mhiEGF110ocZbUEiz2OQ/YglLtVOAw1ymkaRzlBbHiQxX/iuxLBNUNeJqzKanwuoyHpuS1x8BoyFsbM1OUtqSWJO5iW1zpwl1b6LWYAw1UfUvkSsiWPMJXikJhfQ5sNECycyBKjxQxwnaWgcQJUNCX8MuBGTgpAZ3S3UCL4gO9skUtsB7CzQ1D27NxbjvE4UV7z/QdbaZ6UsAuWI1hd+s4LxsUGThqI2rStBXZUIVk/MHBCxc10Z+4RRMLVRLaRTKZGhoIaWDtbMkro7M6yEvbbfjiYo2jOcdi+BVAvEsUs3rC/lh0oXJjAS+I7uYi+7hRoENdjeKjRsOyrWviuLY0lSgeQ/5po/pUzo++4QypaULlQ+cvAcrtrbGEmUq449cY7U2UPKjxl+b6zIcoXrmeywWHfqJgQza00XSKGFHIp9+IJ8lMEcWcpEkINLWNpTiiduucWkQ6Xz2jqUGtuBAcJ9OljYBQxriz990gYqQhXHjLAcDOlGEpjltOLXl0ey9xCEo8m53fVrdt8vGSUWQJl9C9w0MDmF+/j66qig4xEirpH6qwYgrCW9WR0eeHSLvzkilZzA24KvRFY1QzvTSgvlF3NkPMTxHp0l8eDUFNBmjSLP72bw1I33izxMnEn3q13O6DDuG4GSyvLFk4rj4ZcP7rzbhao//IGMVg7zhWriJlnj/Q7S4ufOX4z9kxhVRcUsWJBuYg8TgUlvVl0fbEEPdDmzQT2cN173v0Oo8yoY+ceyFEP2paZqoF9C7SV8a25ltiYRMhF6gti5A319n5Ne604WaoMSchgu+JbuI9EtMmqhVm9D5mbI6ggjresqhviaKi4HPCpUo+Z8fFxxlick9YGUjBYZxw34d7LyfPepuqe213+qxxOqkmOPoESeOGrSyph1hxjja7h6xDkU9Ux43P5tMQQvL6gtufnQ5k+2wtXHsskgpL3wnKiHnXxGy5TGL1WOG2mCZvqf1Lm6bZME6gwspYYGGWY3R10K4sWvdvvYu4ctzFMpDfrIjcEXgip/uwxzzV6LSLIXhSwqapvq/wVBH33vE5cQ0pIVimdHrkl6LmVR1ZL1G5rq8gms7HktdtEzzCk5MZdAByNYxxP0j67ylHTBaq/NsmbmyrbLXudTSCq0Vd1rembpP7zTU9/X8sgYHDVPAdQqDC3q/haJicK33ck8etbmnpHSvu/ERTDuGWc/QAthqolNzQBltqZuqMXwBRbaeuS/HoJYE11BtoFV72S8xOyxtWg22iQBPcKmm+z/2/0lHPwwf5li5iNFa3jBlYTUqSYOM4KpXBLJUyIV6MSNLqgo9lplAYb28yYImRWfrE9/ZpRvxg+6RW5ktHKn+H2Aa4p/ySu5pyPD4nQIuUzKEBtOCrJfm5mjRqoCsb8PrmxUI7SzJKc0RFsr/C00LY6fKl5KZIpV49s7BY5jcSgQQEwLLQzESwoxvXzskxDIDiKZcg1DlWBKedBd/sq255IV5GvQgn7nCi2nb1kGfcijL/v/R8CZEeS77NBk4jvQGhjiJLSxQQLxI6XP3OpE8sS+pxbsVtCg0O0PvebOKvQMqXATLavWyyDm5CIKiVziNWdE6ceEpj5exs7Bx2hBGS5r3wtThcfQ7u/DIYL6KzvNrW65vKXvshMbVJ52ERenBpWO2yW1M/iR9cOlVAvA3Y8LdT6KNqZdiVv2O4tXXmeck8ZTtefhxha8jrFS/xmHdoIEquuLENpXQYB9Ss3cw8aBSIVmIjcOmt6ZQO1zq6Pw+vetbs+Yo23307YbYi8Ynq8SZWYE6V+i1gRozwmfHaGJgbTXEuLFQIainizspYPJ54iMI2d06dlMK0eV5wqTJ+CSrSzaujFth7nk9fgIhBJ0AJuKmMS/aHes/s/yngjvc/21e/k2da47Htxhmy/2e4tu4zumpiSgdpihd3mu/QAJNAdamLodwWsBD61mHHYZoM7MVq9yiimL5zBUtIp6tTTzFD9wKKEyKeJyhTIKtimJu5Tr0SxDMNlsYyYot4lYKmQbuQ4p9zj6v3p/wQteNu7gX+NCtiMtvRQhkOb4T+XeGJVtseXUqEH4SWUEh97mTD2bxQ/cPVz1KFHAq5E6j6mGWSUyqwrZIRrhc6aeIRxkgwmQ0UKaIW+nUSFeRaYtlKU+vwUPesn/s0oAiUbJWD6Ocuh6tfcuNWnHXLyI+12mE7yxiALcBUGPcvul8hDaqDKCrhkKl/tMOexO71JqjTCmsLQ8NlEr1GHs0uKMGSG3ckcZgNeVorPbDpQyXyxh2/6a3bC9LIjpZ7wK07kycyKW+lksNry25utjQczykPJ2B/G6EFTy03RDsdLFx3r3YGC40MueNPsW7NZTEiZ5cHB2rGGQ5PZbF+59z76YuTcGh0iuxxzdLnI6QSWY9aF895R1tyHMLjuT9x6R5d51ULxgty8PuQ77s9o53xSwf+kaLScYCmrri/EEF4wljC5Cukru6uyq7vA7O3Ao5M8mnDRKd3Exb5Z9kkpJd/0Ux739h27j7Hf97EmukEpNseZDNV39HP8aeIQvff/mX9MdfZxeXV/z6O7+t0uPdNLKYcdl817ucdSP4WX5VRs0CedqauZ/rcb/heo8XOXlZf/Lb+494LrVhKGbZd0afTbX+ah5ovyKl7dIi460u+D2xqf/S+JpOQ6YSpfwKLoWrZR+ZR3bMjNme6X0jIWWqxt107WJ2mODQn4SAL5J9kvn0VurSFcwPsr8ZkTaGeCZUHz4haCFKfq8XIMe2ltLL5YDrm4o4/l6lrZpf6BnCzSwNdCcUBHH7yMTOgvf7S2CQBLWVQ/qFffAeLpOzu5dhLgUx9pIdJxYhV6Kff/7V9jGfX0eMtfCy/yqGHa2IQJd7KvI496/vmCH2Sab+/8EnwSLtz05BTqJgTN5u4SbNNcukH/0G4my431JJGhrMjWiUdvbyIOScHFnY4WCFWkwksUisCpsloYpsX6Gx44jK4FAEnUru24kYY4kWjGlmhHPx81IVO4IXfa+IhbbcDoMbdkVdH4Fss91CmkZEQisiGoLYdFOCIjmINPkq4bdmUwvt8/8kxf7amYJEbOG7BW9x8XrpOuepTtwMxG2Wk6Ak/j2N85rSCN5Jk+L6tPJN1CfykgfAWtHEv4XmnYBHgb/Cf88GIASxeX3Pvn/erzFG52tE7D9ltG6XW4zx3nz6F0dNjdin39XB+vJ3VZdRm8e3NLc+HueFkBELFc9OC1wiqYhWH7/wGV5veUsjzi72w6LlENR9oRGDaE+VfVf/FgCEzbKf7D1+0Fnhdv+cLT9VlP3EwjqN7jQRPBf0v1JW2U4oiEBYHnlzSshqLgitsBpq8TCTS8oq6UKKlUXl8kLNvKK1G5b2d0IAMUiYpTYCanNjE+8kaUA1q6GWAWj1iyczjO4j5EVbl2wH3wv5GZMxqpwk/UF6eoKpDot0PsbwI7vXaN+zhVsJMdzCHcuHJUNmFIirQFTA4b3+2M9m/rwGsnGOKbdbTsMfD0ucDOaKGbgzl7qEh21Ni8wIXoJ39+Xhzpm8DM93ftbYWUVZwvz7S1yt8RzhvuCUtKx5iGdqI8wcGdIIQVlhKVmOOVJ1hH2/DxcrAQHQtTNlQ7zkb8tey3jwzF+u6Kv5/uc+obZ3YzcFFi9EpomOl6Ctd8LF7NIxR4nu1ETqe3dekyfO5FMPrQDjEdeyE9d3vfXv/rd0JCCWumU5sinhnp+133VxRuWZzfUNcYeqgdBq+2ZreZtq8FEjoT5jajd+TskhPsUSqqYxI2JgDYlkWJ0vdmTD9+gYgI2r9eGwiWBzx1Ez4EgVGp1fg6lzg1kyeMlD/cqPy+LVMaOEVsLrkVcYHl+MtJ/2bJLaCDY+W5D8qFb2dLIhsKPeqw9LvtrBMv8FFef1wYk92L6kxisQCnTSQhN2jEBybaEYStOn8E5DVK2mqe6+YII8tnF1kCdntTRXeB+bFfw7DknzwmHdd6owou1wbwX6yE9OE+jG2q34RGh8L5n/OxJQgd+Xk5cwnw679vTnAA5Bc9KJPV5oKdUwiRJWKqGQYxyz91a3BftvLLR9y8joxFvmARb1H8SBaM+FRNIP82xVjOHv8/z40Dt9Tc8EKsbpN3niGrUqLzKwINfpmmKVft9bR0Ls3r9q5Tdd+Vfuemis9lnlIw5cEyfjaquowQ+YDYkTvdOPqyNEbPgZteq8jjncErYJOYcMmd85QoIlHTgfUyDLtv6GdcckSqbY/C4xiM2KwbCg9xMlDS1vsxuDc3RwF13ZPNnjWfSRMAuzZ9fKR1GFSelmcXGKW+2TeZcnHORBbKuM9BJmR9fpIJMAPrrGRZS7bNkiCzOn7ALA477gr1ToduElzmHuAafzOAoWxYjbf5OFr5xIxYYQJ9IF/eUtVgLBz/z9Ujrv0wsEF39sJx+/9jA5FwXw6556v5cx43WLDxNGX/VwTlrw2/mmcfkVgurs+WvWfb/RI1/Sh8Pr7JVvMMNeSvCfWAiATQVSLIdwS/2fCeF1ZFI1y72Le6rud3NjNI7q9eyXuQbeCAolfSo9Mda4s7514UlxzLMQvuHLpKnVt/XiL//hg5emfznpqfRPhm1PqglcenHClgVO/V2AneVCnVo3EK2onvwIi34qdGyc8HMEMc45foSFM7NDaFLjyspRZidmUOPEyztmV25U49r3ayxKrhFE//86ZvlXKpQ9Bhp5eDEbuFFtMMa8gKY1gN3fzTm9b/E0AEx2PR3HOExHFq2avTODGtcogyOCoZpW0pDFzBFWNHC9cC6xZzKzUJovCc/eJMwKiBwd4kUhiKYS+lOhak4RTgQsvvCm1hJdwly4jJ9URNRqbhrR1sxr5MxcqH3VEe8gvcKU7lNI8/hoBbk4Q3qBYQ1WxhRMHxKWjcNvhxqCswkLsIYTFn6jBBULokRrjGip0l61YZFAQiHOFCFhBbzSbsSynOEAxk2A3u9tT3hbTBNQG07zBtLMheimEzdsMF1/n7mB0y6CzNlDejhxVxaOdCZbw3HjYpfwb4BEFD50GLQIEGxAOUWnB3jHAXrAbB6nMEKlngoK7wA93ADFECV7EVTcYBDEYO+wUGAAsU+cB1gTQYVb57T4PnnuFb+YBDO2pH0JWYjBp+/0TwdAnN/3tjaFhObNvHoXFJ4A4WOgR7HgJHkx4MmU+NdcqOxn/vEUz796HjtM0X9WKrl6VmY2tcPea4wM/Wb0BrfDWeW474JfPKQ9AeUAmEPC9E+svy7dde8+Q7YX3EtbvER7/XYrs2CS0J0BV/qZTPPaaQ52c9K/dnkLUWsUm6Y+c/Pz0YiT8yL08Ed4Hp+JOdGwCwrpQPHJZXJvUMf99KwIInsJHPESLYSEpHOg70X/OYXi6z7amuHs1x/BeTBUMByJD1rClcJu/M1Pma7LBEW0yN/7/Vv+TNV/7rk5Vhh9qc2feNCDCm+IiSapNRw6s+0h1uHPXUyzJ89xiNMo9ZgWg7YIuM5oqMHk9AwIWXtgDI9bdSbQGTF7Fz7DbgCPPWzvOUSUbAXCPPfFbsB7xxAGuJsMWsjlE1mVJaxIE7oD5DhGKhQNP6sxjCzAmuNurunAvUAaRGxQbSQuF62d5iK3S3KLiiFTf8HAdHvha/ExYM/vwjAeF6i7P0zADnRMPPhB94Zpfl838fM39qOojYO5aLa03OPdEIsz1ynbyyrwglUV71vs2HUfk381uYqNj8Wpn39Yumqa8WB2oA9oDvvfEosjm2v0G0jFJPFziz1IwuDVxN1E0vFfcLiva6aPMFolMeKijGirGD4gLFF3dapWGQn+r4X3Oiw2N83tTPQ7NAXPY5pOtecgRCjGQghcAcUHNHSbePRghjc3qssb53BMg+tlVwOOENc9982/A/O8ccOueETPRtrb9KFv/FuB5YCwSeuDdUKbp/8UlfxOETbyhyrV06SmQwrkx2DipMWkTBqGgtxacgjzuamcSN5tsMOspBP+/knTMHPWAoI1nDfZuw8A5ZjBNC50uFrDgzIBZ9CV839cKPYfFkWx9Rp9DsVsWGViXkZ5ssLpm0FJJNRtgyvvqRsG1faUCjM00G919fzIKIRw5TIL3ntaPwpj8FnEeLCy8JDN5e5Kdxl6+v1hknNXOuOZTjMZoMEB7id7S8VcT3SnPHvn88wEp6JYxLTgXS5xfxCGovRIl29/SsPp22aG0/hz3RgspjX3jfZMcS4cpynOjePw4ObKH6lyoXfzZZMBWm845R4Vrxwamtqd9kccdz1xQ0N2incDG53LHcpjBC2cizMA3b9P2apX868fkaRbKNFtEMDvQD7y1HNJSrxfEwNRNDNwceIF4Gpf7rwe5F6AW/jXMM2rZo9SSDEcOtU0UvGZ6hh28qDO5+g0LaSFzLwim9I7xShBjXLH2kTGdFlXmjumjYqMrOaSTE7zWZCJ7xy7xoqIDZm0xK/AYg4ZE6x/To7BIzzEYcFH+I/NESVjiM+UnzSHO/zTJjpGbsDkzTwGVqaBzBoiVv5k/cLUMS3eufj0pFsIOc7Tx7s42xaqHuoz8GrnfzpNL+CdsE7VhMDjnNL/mG6XMlv3NqjpUFmH8dz0kADgxun64n8p5dzrKpPnn3fQmTjr2mL4uooT5VYUaunfcmWp4B4HuHxabuyYwZ3Xm2GX/pRopdz6PURiGrF/4ZUpk0CEP9OB9ulu/vjFJcP3L8cwTSYu/0KAhYV5FmfHyfTpz7mrFKz+Blx9GJc9euDX7T4MHxtDF3wpVmtUBWeYDOz5vL573kIkTwqdjXdYPDD1eVCne+Jj24WZNE7rFLFNhD1PFApZPvZCUUiyPGWPFCLsxzRmIzUoJ0ZB1A/2CxYzlFlVIuQyQ5cw6lhCvml0MhE6GFKjIStOKicAWbgobE5bVq3OEHg/oQb0cpWx7jQ392Xpn2RCEFTVCajXm2YcyAGGsqAm8A6WVef2qHX8FMCwQmFHQt1xeAcWpl889o6gGK9gi9yWxnawFMamg9H7bmfoocVsbFK29RmjL+VS80w6DhlLDAYUmqHe6GAGWUyx6YL+P4mdirFwg8NI101KM0ciw28MX6ZfZiT0cgcRt3SPbcYaM0bTGP/abQDpyWKySkCSL1eEj77FtwbqEUjNzFNmj1h3ma21n+wBC9c6Zqs4Jh1gldzxSjg4o9fQKZTOxltv6+Om3nLO2TV/oFrqFHo8iwVBB0z1x9Yr+ANdB+wQB+x7UK1QOuUaEhyU/a/d5F+bxSQr/cse9qbd3LMXfg1t8gXGAHURcV4coiIm1vxbl61lCDrNYnYIxV5nRlPopOFx6CM5U+nxMJoBGYp1QHxAwaMXW9q7GN21hBPv84Lu5L14nDvVN1sOcnR2xgY96ry1jcqpQblY7C5zdoqNMX+f6vSUquisvlauaKaUyuCIXnch2Ry27pwnqkC7/iWAyz54KEfFaulji3GFWaf2LyXI4tw6OLUZdfvU5KSgODNFNNNXOPQ00qs+byPJnIFUAUZBnZnmeR+i853RTtTPj+uZhz7NMZJmp5Y7cUk2TJLxDxEkRK+mjA1aNJBpYmXal4MoDMh2GDM9gxXb4FB0ThRAi77OmFhnvuSQwi5zuXR2tzpsOIXJntPUmNQ40yWKmWxLEKqMAJ319OqdZ2eMz2Y4SANWPmhuN6RxE+VxGdQOxNxARM+iVHHMDGev9o7G34ISRoxdbBFWXHDxs8xPOqNUHWbLg+E5gsBbzqO4t4wD7bGpunCQXxMNhNWkqQjqINz3aVuNz9tTAea8yvNhgC32jw/BTs4pcZTqWfhPx+jl5hbcFnZFpKJQXQQC9Aw7TYLvHnXA7oCVYqaomYEeDdk0ocBA5x1dKwuaVGCMZmioebqWbvBIdGeK0S/1MOF+ykaE0PiKFP0QlS9JMbL1bVcaTnLNwV2uTa7ajTNy08NVanSiZPb4grq42RsISs+2vmR/i24svvi0FHBUY0TYQ1hOxdN1OZiuIF6lco2EvsbB20ryZa5YZDx+uZwWvgsipyBEuU0qlwfZuLR/FTy+qGR6asbjTW033CWYZAO7KsPZN0gK3AOlDxn4f88+HDsDxTGMYHo7Jwbi1TcK0ysVMJxwp743Vg6LjgJKVlhB/76eWIKwQFavW1L/KIbwyckO6WC7IwFz/3oQkMbINR2+fSpeQWvInH97vv/NyeiODsUxjEzWaHxQbqv3/6LLeuB/5/7uJlYw23BN18na0XnsMWJyggTKLCdxAVJsw+0d13Vkf8BHBr9N+3SxR4hUsGUXwqIoljTjPcXdIvLqBU7ZMFGZuAeRVuIqP240IyIRVxL6uO/ptlMq6SC8Djbfh5M2yiZGJ/+AN0HDh/hQMQ4HUiHNCz7gIcirMqZY3b54gbiMPA1NiRUiC60yBsJKmSneYSD5MOsnHTJbwdr1MWZnyUNn4miyJEt2bYYx8I1oWiTGHS4Q62VhN6iwr8WFYXviGWfA1WRWcQmsDAc8Qf4qhRnOqdfnpNpdCwtDqPPgm2HLIBOzOlePDpQVq9pjY88/tvxeCQGXNCl0DPBFYR9f7Er4B2JUl29yxjUNXEw2S8xh0vvFwt8q+6+bEMG2MtvuJO9MM1RRWZMRoYDFpszg5UByTvWnvdCmeoS7C63IJ/GsBKQm89xK1leRFtqLxPiCIjyj9Q7aOuXzdu6FNkkBl0aPatweTUgYAaGkadr3M6ZHeXTts+2IGrStnhePsSLjUNYUlHpVtvIx0iVOctt9kALk2t5oAyhTzhPtNtxenlOAn0hl4a+AYsfP7QaFwTdZ/yc5gNqGVC3RPHkjjqHwrUvMugZFmVSNlEj4AEOcmFAvVB3I+jxpCMEV362TYrU7SUSpduI5KIgM3F2wcyLaCJb6ecO+lJRHREFSAYP/GzJSPj0oXkm7+xMtOFpE9Vbo6hFfvX4ing3dxm7eeAji7mHOuzNLZ8Wk2vvmrEvx3wOdVFxyPsOv2mDGgdtFERlFUKk15z5OMh4dzocJz/lBHlBK9TWdACBnpH8pjm/OZJr3NQlYSEpge5zM1ExtqPYR+ekjlAWRgGtqN0bJ0jWGhsg0Q/CgbZOYu8biWams8ubMkMHt69n8TCFdzDtt1C8j+LLo2J4EFxn+T5XgVgEH9JLuefjqkjF62b9ljX4b/KH2pYwQHxh4ngwijtlfa6tfbKEDHUKlQRtg1yyyS5n8YXZysZnflgVlkj0h1LGzTXlN+KQWJ81MHWRe9TxfCKU6aLOG0K9svQOIP5Ll3okCrNWRzAd9TSCXZcHcyQYKXliOVlzK4tlnpvX6QhjK9TITR5sUqAO4QJfBmRyG7Xw1XR++7D7xzw6fmkgXsthl0E23RuTXiR3q1YCV0upie3MJljMXwCcpRok7DI7EVzmU+yKOj1PzK4bkRtZMOzHoe4mGlBCtsndAe2hhZxDnPC/ubKJzPUOv3dvJX+FoMeDuwPqcqxaPkP1drnRb6X0pMlC1Xqv9XMPMqeB7iWO7Am3wfgJsA0GZ7YIoupsN5qZcZrIRODHXkJKQMDqYgCRAhwAyDEmpQRAVGw/+ZqVUAnzr2L+/ErCjkNEChlCsEGM0mZA8aEbaGQlKsVsags8C7bbq5csMBRNu0CYrUq1Ev9G5CB7+J3KykiWqjPVMB2JB9i5WsJ2h18qIX8g2jLzMKodQ1y4nhCKVL1FPldnez3xl4cqU3Tvzd+D2WnNSdqo2/C/9hRinVXTLb18kTO8WDgPILNiercv2nVKCtH8kHKUWW3z7KZUMxm1uzbrMzPe6T4tgQ5SRbCP2wC8rxX4tVvygbxZtKPu/kJvApo+w93mqtKDMOPXCLsYhueXKScf8tZAy0aRLJN1MxgsKRO2ka+JEOaAw9kuuo84mSM0fi8XRR8Hm3k0TqCl3W+WZRRLTrlIcdsybHlUzzxjpNL3Xupnr6tADXbXNupVu68capXmr/3trd4b475qm6YNUxf71YXtTn1FND9xJ9olTBjtDxdkJO4EQf52ytYRphbEfAaCxl7ICK9F8bVvuIzAdc8IDNonZpeKq5rWC1lXONfAZqI9fLsvAZKL9nG5dRg+VuGER62VeOoPt2G5dJiicatVTAiCpUJwm0MqpZZ+Q1vzW9p/D8rat3JUmYgZGbE8Kec4lcs72kys9/e9do+xKqvILyJknTDYPdQKoji+6q8T7NzJAcRyV0ZWq8PaOStkVit2liuijg2Al2mjfKXwZxfI5pRlZYX/y7x7ydP0coPCoUXiofd7JepBApIeXkjtn9TGJiA8mSeUowI24SRY+eYJlCI2A33F15cGXIcnGNV5SKOyno34h6SljSf6LX88flzQbVPPQi6SQ99ZGxhJFv+C9JYPnREU9sy3oorFC71p2HGuX5xdeXn2y46PF+EOdYpSVqyHCNLy4ji6kf0/754+qsGcKj/T0fJojV8xj92OS1kxA5+vhWiTR3GeeOFzwYFldiq8MJnKdi7JIieDkBz0EsRvEIcNij++Z/fZR954hjQT0fLAc3YtTp/Wn7ibdzbbWE6469ZZ5eJFSpG68ltsjVtsSGwdqvYgzhrmwyVUkk4GOK+zhHoO9XGuchqVsOgpU+aEr34L1ia1K6EEVzbS2vIIx10asvnBbJ5luQ9HDJIxGF1zuBCnQh4E8meBLzF/rnJkiSVQQVRQ2i9GKdWd1GXHpk/GoHT3HZ19DfjiMGkykvMIP3s7Q6FFCyCLDNHuqxm6tmffBruX0LdRruL0YyZB1eLBaR222zPx7bOmE4G76o5/kPOeX8F1Qu9aLlnjxZcIGDXOfa+Vp4Zc89CTK2cYrz1FEPs5z3WL4hH4d7Z8IPLFM8sB4mqa4Xy22vpgVIslkcoaglm4LQaXQszkVQyEHoIPiJDfaBWgXfROiJcDSaaNWnSUxEoKnX7pPTIU1h+euU6wrgE4JTjkdEKhPSOyX2t8z0aP9KTVfEuN326QMs8dnD3m9M8hPvN+UMezkhzorQiKsnO6QsOQQqTooEfpWh6kjrKB0tMwaCLyPafvOjtExO83b2HBqJwS+r+3JFmOwv43f/dhQOsLwcElbNHQ8ARec9XrcZTaoHnBHHsGp7UME2OUFoK9fk0Q4khjrpVIhhVAlvXSL2a6L44OQjUIus+FiKNXlfTWV0wCLfePARui38o9Hn0tvUvDw+abrhmcBOuhBc7HEcWIEv7A+X46uJ94QWIEM9qEJ/u0ytOaeirSeqySDah4c+HuW5Y/LbMJ5KoSsXxYK4wRrizQ1l1Yf/C9iCty+mkNu/OVOA49wyKof8BFXH1D3LUb/EXjZ8YMt5+ipV4UREtAapRlubOgIh5wD5+8q8PLmzpQi0wyWOC0JF102vKaQRz2XnEhejq4WFCAypuMT3w4GUBl4Cu0WB6HDC4gXDTkStS6mN/cLWByUmmgA9LuT4tVRssu171rc/mZetq2x6hf1UcKibWhpD2BIpGxhBlQhb2huYujejmUFDr1U/XNwDXiS0rpa3TOA7b9PbIeJjAfyQf36e0JneKHivbKfPuXLriQKJGflceGULTJP5iwJc7aeyd0Ym5mfR798tsv55x72Ur7NPKe3jY2UzOhlnMmI0xTBk2GHL6OfarKc4AjOVBWEOhIH4aCSSNqxs84rPWPccfz7DHvCwr9Yf4WLORSLsYjkKg4n2+oJazxe8Zzudw83FwHfl35njoolrc4zU0n5U34wwb9nCIvL1d7CpOf9r2stwAkZnH0vcc7csqOSG5F04O4/pY8w0W0AIE3kqfT/MUZaDvBiluYfL2e3uvcBsYuLdr1c+EQL3fcs76pWWE96n6zE83ETz/El7/N93tFYM+3sK3xxNk1FRhoSERnqxTA5xWYxZTnpeHtPw4JkOHATxyWgkLyJS2TONZuF5iQh2e9qPz/P8VVouJ9Einre9miwsOyQm52oPVFc6LPWQa7P66HrlwCuwTl2GpstKqGbQj495FvKKFrZIqoxrR6OeDQKre9zoxzHjpGg6m7GVqQdnMvhqa7DcKptd4SU4dc4LGeRh0VIYpPQRZsITU1I7wYb5ZzGX8e0lzO2tEoHrWoWZfrjBHFqwiu5BgmdEe6edYxaMyMoWybxDvHFm20kirt4d0KSxDsth0Oazj4o6xiJ49u6iAJ5+jywy0j7tEz5PEF/7wAXgpUe/zSQCWly/TPELnly7NPOjpbeP5fs0pZbfDL4yjH4J5ld2nKb34xHYt0s5dH47UlaIOQ0Cu0UkCIH3z9G5BjuXSITItGPzkgYmvRJZxeBmeNK8AkhQZzX74KQJvlkotWQIM5vdSOByA3XGzgFiJQ+qu6iJ1/PHbUPG2742QAcLL1/nt4lTw6/P4+ELbd85p5uuIXRwY45AXAaJM1o+2UuNTTHKzv5VIDNBo48ektvVnykqSf0/YmPFfCIbi/GBGqauwKgqp/KEjSPP/X2ns36kVcD+WPTPfijUePShJtiXNI8K1qfML7xM+sDSuCKdkRuWd3fn1lmYtTzYffdhCL6/tCybyz+Z5UBy/GCKEFZUTWkG6ZlO64XhFGSPwpqP1nl/agb3kavfhBjvvxcp7/AAeXNNXuyKL/l6l6cmVMpmIrMdJRWZtN5mbJA5EqfycGECSAIO2uAKqe1jH/E39Cc8c6CCN6nGI7pFqw0kCDTNh2emg1QKGCWLleu9iG4Aq71gVChNclawugi0DgdduBbq2ENtOGssWOYbMJxa19wf96LIJC+AUhtq6ujgrN3+imwdei+lOUnZJrtghtkwzdaQ2Jax6PWe0GPSy2A0hdR6mfiJUwXe7Vin3DOOwd9cGmq3iMlvknxRtcDwAnuUtNfGt6RWxxIj2qff70ZCDZsZOYO7mZmwqLqjCvTleHq6ptXKeedK092vx2iy9OzitqsvmHHHlKahfl7S0Gb7AsE4NjzRpNTmA5bI9olui0CDSIIiMZDT6YvWM5Ivd3AiFHAQHBhXjB96SkwoCTE1ybArj5MOagoCaP0E+O8ts9wDw0WLrB6XdBC1GoZSPIMsHnpG+TGGaav9YnLiFL0Ly0ReDqn53MclzNuVQbAFi0UMNsfVP+vVhEgf59v+KlUITamnuii/m/Wq+gSNNNQKZFidrN1aKFRhLgdYiFzA6GgvyP/6sOEcR7Ge4UETkKZ28oATJiYp9rtg6rEu9Ax/kJ7kSQc4VoetJJ790C1t6hDrIk2t476jHuACSka4Kb2wZVxWLQMns/BBboF4Cj0GIAC9rkXzMCUFyOaXjFZuKKxxS8FD4GdLQBQuPLrA30oQPvIsVftVfpNXQ8NfCOjlCDzchwosLviXSrqJn8bZLZNaRWCEGaJg6mERGFv/+OGK3U1CwoX1T9eARV1x8NkGoeOXxdfwc0AWvq4OcO3JeGjf6Ehr07Qd7pEAJKthmnUvE5j5sfolnAeegbAvYBzxqdclRYbVQQG9zzdSFv6TpgNzWkJZcMbul3uZACdXSNjdMTzYwfXrM24TjloHbGB8ijZkYFaMOJa1ngxXQ5LlW9/eCnkPPa6KjucfS0BpnBr2l0lrqYcCD6w1u2DjiA0g32MCpBcHXaVFdT9SOsoR7G5t+ABNUt+yhoCWzF/DqWV+AOIPcnkgT98wclvepySUrfTapw8Xmwn49YfdIL1lDUHMciMngBGie9fAhS22DKxg3de6U6uCfeWfysQm2NW/PSfV/Bv+H0tiImw7QMSlt+aACgzBoI2sAOmzfm2hRcgCjQOoZvZHd4/rdk3DkwyM8Mnxj+T6f3HEIAHOtndLdq/DpUhrvoycqU1CFQuACH3DPK+MM2Nf/CIUYY6CWUw2ovTCx7panfI95TtaV0g6WYKxCOFnM+Y9vtX2Z6ySy1WdmlNlTwdxmgdIWJ5gOeypi2PtYeAd+4DPSAdCchdD5QpUt/B+eFAqcpdn72Vpv/YJyjD3jB1AkSnzkAjuRvuZJPd1Z4+16l/Ccrm9Y62KAf524BQSxVSZMjWrWhtrBF1Wew4ih1oK1OaZz38o7Jz+OnvZT5EA4j1NghvXhcN7liQ7BvPBHLBnz13jXERwIb1jQPH+rhqw0PMlHuayVKDP9PHhWq6ezBOviyPEVTyAiN1SCM7uoNxLSoblDsC8r0zNmEVgMf2uQZMy/t3JyHjgpiu+/ovEXI5LnFAijFmZEw1d8QD1PoaSz9QmCXSiPHnnfa5pc3Krckdfcb4N8dwWxONPAvQ1Dv+Iwa3fhek+XmqzBIhwET00e3MUNQ+6nNS9DmNhAGYr/8W4TgJ5lm8tLS98qWMkeVqfwMC2mexD/aPRK6dCQDw3IdS4Ecy0NL9bQ2eMcjz999hc+XbdVvxai2X4fg3SYm2xrTf/ZTyPphuE25suctasEXRDc5ht4wAr7pmGbSEtJ1fNy/18GmIEBN4LgI4ips0hT3o5p40au3625oFMlNe9/dvaWjCUyDXQUmaXodzp71bkQ0QNitxDhe7AWxnMUYMhmGp5ck0VUQFGOnvP0Ujc9C1v6jh0ewGcdUlomZBL1xo7Mj9rY1SCRZXe06v2UetzW6EzJv3hy62LPdhfWr+YNT6Kr+aXLx9eUlD3IEJfPsl5l1gzU56ka6gzMAXwBUgqAym14bZOgoCpL5E58UIJ4EQ08EZS1nZKtxhi6AKWB+fXj0R89ne6reZsYjXU9/0fjvJYbH0SlTiDQba3rGI34OO0ndEwovlM/5Rfmr7e6por4yJtZ1tcijL+nz0Mj8goLyxZttSA+Ilcf5yzxWxiBk1iP0mkBczMGf9d4kgTqIVBDHaV+cs0vyIfYXIzbhao+kx1tPG2l6Gg92xOjp4zG8fLyS7pdJBr/91OIKSU0n2SBCRNyDKCiylYqIG1WGQKQl2RWsU6Utey7PsNB+k2FcsFC2jh4Euj5kmBllerQwg2nVN+HF4qsogGUvLfKyM/7gU99AAu2V0Bwuwu4Zzt4edV0fHobMqFrDLTT9tMomOyIHwFhihYWeDWbDEj6bzOE1uAY6t2016c8aslWpfALq92mWc7g0Bh5OivIFSAvLP3jkRt6D7FkPJ+hxwmBZ9csbdkKykrKszhYQ6smkEE+whjbBBL/TL0WOa0CUmx1VphuHt3y7CGEyYld19lNhReekssMRLKhjVDRK+7XI8VfhmwEnfwAASWgLNoaXq1hL55AaSPAESPrDtaxsnzd9Twedhy3vruTxsj6cQgrf9qvmpmRaJJByKDDp0wDqOhZp4p26wG/RVuKlxtOpNjg5bAmuAHmGqCpbntSYMPY/Xz2iKSvGF7UVxrZQMjQ59T6OxvQoj4vDlH0CATzk7QUjxppKY0W53j0hKQDYLIF7Pvd0NpCyZCm2wwPf3j/iI/0NERVIHGlnQeILVARP2NkVtQzo1zx0R/IwVHECWUZQe+e0Mb0j0WCQACku7ur2TD5XnKWdVjSAsYMmoDSCVCQKuzJkaKTAXXaWX7FyVUHMDXuzDXLuRogTY92uZsxBaz1viUostIoD0yg0CMhmEUd72ioY4iwFP6bS+bsloun2TEByy+1k3kxnPaZOpWR8ifa5ECeFqqDwgcGsWlGJHqMvm2oVQg7WNvbVUpfOq2PiibVCRj2HUgg9iMrPYGCDXNcXtqZ+2WBCTaVcISpeWZuIhlEpZAa11Z3oFmsFiUqhbYzfY2SGJ/WVQCz6hFINpuGah93PEEjKzeVy070CzIgcYz/weXTpHA3wiKG3FJ7tgqDNSn9uXsG8VRKi4GZKbHJzr8XIVgG/g5CrWcKwQSsHPgXHgGfGbGIDDMJkDs6k8+0mSRruRwuRPK19hg0T7WZABI7WZ0qbrWGeDL8kJwSguLmx2aIUZKyV0DKuilymiLLBqf/oLYYIBA+IznxUs3IoNifoSFHTEJx5aAjFWcrwnY7wqJtMoqVgpf4lUYicGbm55dlNXAD7sNrjEgS5HMSHvRyVaEPOFSwgqztSQuyS+zXSuQ+fgL7RDsmE63HSzLNEYREcLV9OZNsGk/9lQEBxQrNViUy0WUDaVvOJw+jv6IwmQKIkrem32gNfU0ulKY8kjTcjO1KpudBcOG1LItSlE2UUicbs8pB9x6emIQhGzaUIUQHGV6+wyti2Md2/EQ6KdUsZAxO2L0pLAftVCj2ODIzzrUIibQMJib2sm27ofV2LS/UhAbQzbY6ANZBc6QBRLBGYkHjwEHMQChPyr7ZDZEC+d/kwPE0t/ybctreWbaObEWyerUpO3hokI430PI8itgz+360mRaj/VkaDZy2mSTA21ImlXEG2YALkum5BadwRS0SCjInTbRt4/3RwpeYZ4HnlhukqE86/WkxOit8H1XqF+D1DQ+/ddwg+Tij9cJIbRNNWWuFPoHWcHa9rk8MDiYC7y3LHpnoB6l9xbaKhsGYyUtvgNLBl9QLEQqkw6KdKzHWerB/AkvGvr4YjNxuLPCzTUOoD9g5k2qNXtGd/n21prVKxBGCfM9QMFRgCQN7T+Xfxjdg1Orrqbz/MVVNj2XU8DVRLtHMovn+DE5pgCZFPmRaSE56jbRlzGjq8gYvjKHSgv1+qoKldaUVTyS+DsXC1AYqCZeiWIG+S2Z+YjbTN6bDbgofYPJQOfwqDEqonuGC6p5AWiYxhFFoPYHetXEAUQq0BAxL6WVlz9BYYB0QWYGKOxsCWpEBne1NQdpWgmZgz2ddkx1Fcj2CSHl/h/G+3k7Kv/w2d2T73wDd8jc0NQnzD5nSMj5prwipokcAGmy30Z0GqgzmEK/G4riVP5i8cWMc21MQeEzNPXjMOa4e8vqcT1wTi+BhQBo5DBPd4nLTmDtWMkMOAL3mTmaNvISdQepoGIhQT3HUYXkWPiCD09pE33ubIUhz0MRkxu3lRm0khTJ7BssfsQSM/2Qp6DGdRcNf8QW7iYAJxK3c9DZhIu5DGtCUc+gN9lxvnyCXVripPMDTbnArNfwyyCWcCWBp6Ctw1jx9CFjk2pIEo2+nIe/3GaM6SJMQ7oascK91CKTMM2HNQqcWHCs4ZwA5TgXYAl3+QuuLxydT7flAlAHcNTKKusi72Agt/gCDs8jPEjcKquKh2rcNGRXBFHGWiKFASNfxE+wLuuFJQ5HeyOgwQDb0HDB8uESGF9MBkHw67q1ng/VoiniS9T9JaLRdNoqS9gYQfgBdgC4G5m6MKo+zaMi5D3tCgcTBM6rgy6B4fCVEE32KJiZngGJxTnyDEOINvV7Lq8KSbzBU6QBMNxZU4g7dyP2D4lkop+U6blf1MiT1Y+qYh5Pu3wjyu/QkhVBs2agwto5xwMogsQOIZokyBV0pHdlwUYQcX3cal0XZk7Sy6pk0V98OXWWEt4M/7T4iUj7Taom5VCVNd5aduTcRNVm30uO/Oax28y4j3bxBuMSBjw4Lku2byL7WyUCIbxkgJwPFhyZpT4M64dU9fTxJIcKftc0pEeaFwWAXkiyodaBXhgZ+tywAHmyKeRf++tb73IuncRfFNi1TVC7eL5JdZnUySHsA5uo4Z+cseS5SID83BsGU65btxoTGUVcaQIiCzVAUruhGvXCWEBMPH7Iho44ytmaWEyFzHzoDnHdsJkicjID2JJAkHiYdSgB60KA28KIFM+psNdsRo7cTkU3QH6NnnFDFULrarp7/akvYjL5dspFWcVSxXFNzMfKQLc2etsj0dj8blAerNaFIbzk7tZZqEpQg21laHxFKBgZ1ZuBAdqGb1q5NrPL6LjH/u3K6p0dzyc5HhseNwbCqRaAa/B+oWzNmHyDL3D+orpNbKuoEwLIApImVTc7M87r96MfwGIXXascBjsCAF6d+g5WUM+85jBlM5NNNlfbGvTXzJIAUywwEeW7JvAu9RS4KNYEhBYzGZw4UwrnVIs/29zKqsxrTzRQZtFUg25Co1Be7KcpUr5s+/CH+qRVzVSrwyxhtiPXr5RzJ6j5Jer9jkWdCXv6Qie3J9bzq5CkRPvSq5k6beEbFmBFngX67MP3b34BYbfmDDGmInWuVjKGWTQtnOENGbXbDVUHC/nYx0tr+PvX/9yz39l9nomLeZUlYYp6YP/l4vF8cCSW6H90mJIUZh22EZlOkLnBJMpSaUZeRgHXwYXT5fJm16SAxhPeSI/BxyViK0kno6wb+9EeeL98p642fMQwKUZEZNROsOlx/p44PrftdAYtZO/isbLzpv+uLtUwyeRj28qfhIEgXVj3ldCR0AGPhdQH2NHJlSTZ5CgJl5H6jbd37pOU+qILxNJ9/XRl61r0Acm1RAkh92cm7morVIXHHrLhsvxsUCKLMYKCAGYj4TksdW8QzToD/BqylfWTFjsjUgwMVz0jtUiEpwuX72KXSv9Bl5benTWgV2/QD+5qyoOVLbsrw6bW1gcEOMO/3/cgouhMHFIJr71XbgaGUbotU5RhtepAMcsAQUnwwVjZHVmAmpLUJEBdJhyKBQ5Janu2vmpQjHxNIJRVbWn/vHlWhw0H6UVDWvXWYrvlHoN2+H/eeBJLGSB1jcxVOU/pdjOMaZF9weqTHZx9719+mbuzKpNY6/Np9n/D5y4JSWKtshiYnRGVmxfwXf/CuHjpmEZKKruxcD83ci4dR2DGkH7yaMAsPumVjBx8pIaKBCRfiMn7nYobk6J0TKOvqu9/mCIWJTXNckAnhAINXpt/BwnJDocTed18lvCLD/KRCNerA+DkmefRs2tIPuAAx7LqyOJk2KYn1KYqxAE9hIfgOZ+/8IZwo7zfrqZVsEuhUHPABvINYf6xUURm7m+ueWuw7b9xLgK3DS/sO9p3uXPUEw1s6tEW8wgmYlhbQlCapy4r/CCmPpKDgCH8PQA+cT/HmZ37KozcR5az4V93w+0dbljNmx0zE4siQGhFNpZcFtNEPbcDiuHwLZrrujO/W2KMlDucQugDMNoF8LQoGlJvfpK8+5LDGZKrDEcbvd4ZTEK8AfilqnMmbvSS9BoO9mii2ZXzrXbWKRAIiiS3g2aHlNLOvydc9ygb5ECXvEbLQTNDQYIqGywW38Oi5M3JGFNXm2t36tBdqzJltzczWmDTU5vI/soIZPAL3EP3AjOCZJHXiup/5DolisX+xqEIsvsawSymBlau6mwDoM8DGMQu0W63VkeL0INEZ6wQ+g609kpSkKzk7GX4RZXLrC89rRsK2r6VeVxZ+a52vRw7MGZaESQZlJEuBklWyetolkQD9o67iRc8gNglLjIFG888l1/CLzI9JCiMfILH2MGEexWEGpAdXM5BKfqqCL3MYyBHC85pKRgYkjZQZxtFxmBuLVSqlNz+WlOPkg3AojvHcBAZJHCvm1yZXCmZAEeRvki4M8fLlOyj9wseH17HzviOBH3qmvDHTiytSPbFQqVI1IwG0HaV4tqQqOFNosjtkQqe16MO0aR10iKMLY4cVAUcrw41rNxyv0UEbMX+5fdGVN6m+QhRQ8JEzH+MqaAPy4LxqwRzMdU9uwB88c5jLTbHJbAr3o0SbiVGWHe0oIpa1D5HXw4hG6brLIB6AFjPCTNhG6EAuFiVoWF62QcESdwyERBwjdFJQhmzrvKS5sNT4eSyIskCptiOMV+PbBBPlGgizHDiLmoKEopkwRnl7WvDQ8BQeThxZLo+0SsyCc+/1ITfYCW+IRTlRM6LdEclWOcGK+9IeBLQ4AwjVL04ROMaSGUwyEsOQ73Qr5316upN4l5BuvRBY7BnLmgjLkZAIsuXD1xzyQaXp6RvwZ4fRZHkzUXED09Wro7CAIEmubsPAyDX9jyNRY2ILkAcmTyvi/PwbvDSMaZbZrItMUhzcmghRHq6yaz8kpAbvDNZF1mRZidpW+WOcjuWCeJ3GTiRokF8kGtR+C0GbcbLai+KbZa56KP0IB4Gm8GlS6VcZ2kEZfiKngvAuwNebJe0BBFZlvZbJLcOZcaq7t/TPLluuUrkuYtYUpGaWL1aY4F47vx90/PBpeZs2Z/s3LWh3QSw78nadP9Icsr6rEQzAjQ3b5QNQlGHPjnXpmWT0ZH/l4O2YkscYhOzbk/NQAz575zApjzxKFPXMoti6Qr+M13+8IR8Wyc0NY1VlK3nh54p4enNmNygyhspT3lHR3Xz8zvyJQ3UUmEuNw4r0hxaFLRnN70osVoiIrqWHlAosmC7YvZ7PccHU/gxoIw24ypucvMKlbgpbFO7X6OWjIIlK4IvdkDlbYbEJaZbu3PYBXislDTJ5LyWaEnTmi4o4xHc6sl3bfz59xE97iGM0P4c0iIdjQym3rrkFq6ZIiy5XwzI6tRI6G0DFfk+Rn6jzEm96DugLcE6BAI7wbPbd2nxPbi827HptZ6z/lUQhlnfNLTdUkPnRwjvTZs2lCumsXH0JUjyMlH8a2zMLq7JJPrBfsD0dO3VD15A6O0jw7RZGV5SH9VflB06eNV4Wy0zfXnxse6hiJ/t0/1aG7VHo3IXZdwScOw+0MkpQZ100WV9nBoOBGeEIs2fk4r+i2GX2Grx7Za/2nNKP0tIX1SBVbBW2TI9rUH3AESGzEjGVkoWeFBnP2W1pI43o+p+ap4/wdHsddGAQz2jfJBC0WzGDZQHI2Xk8Znu+sZpRdb5DdkwYsyLXnwkNTxqwCVDrEKy2SQuyc7nz0IwcLvd6XZMUTc3AVdqE40myInM3TXJRatjnZQuupCxQkz+6CZs60mvGAdW4opeu0RDZf21keHGK76ex12Oy1kKlLlvs08iKJ5K6ThL1Cc4mZ1h9hjqmU56AbsZqvlkdLF0rzeHovG/2yISzLnUk7gImIydINDh9pXeuwmPKdsJb758ufZQk/5+2EyTmb8AHfQZuuwaSS4xNBGQC7S3vnpbId05h7wkt+7Se2/wbQ5Ttpojq11U6SZmIZZ7FWJ18QWGJlHRTjnzvLo2/TaMq9nYRQVT0dmjgiNoYbpQCJvg4IlaD2WmuFwco9p0WIfkmF0TjXN7+szjYORqlRpSVv5q80/5vf3jsaUmVTIxMIZJqjD8213ZPNhPzpuLH3YpR2YtdqHWTQuH8hzFs/dphWgK59pDVhza34tTpbzbNQi0Ksp+AN4ONHzBfXmJpSCV1gOOWcdyI6M3vYChZFpA3+YDS/wplfbkcej1lRtDTCSvRqtORlTte23iWKrj1kot6bUX+fpNpwgLapzEddxrTLEcAuxjl5kFncFI2wgKpW6mth84ohJw3QP8siJFyUFICZAvDlxqERKK26yBTc517FzOd/PoSUWxh/uNBW3Zww9ZlVv3MhAnm0pSwFDFFwXoz+k8Slr+wfkYWZM1d93/8yR09vZDtmoEoFmKk9JPiiZQ6zSUrs7N6M5QrrbOL6iuaqF2WMUC4JIXv4ipemHcEbf/ZeZEtqvzulHIT9pAYijaaFeGV0gIWOCPWUpkTJZ38j1TK9nSjzO6tRwsWWXXJ0yhkzmu/xwETFLIKcZE7pzC9EflMyo2TTNvokScrN/pFiG29FZGdDMon6mLPPRXPkS8fJlJhES6jukFaHMSOTyFuwlJDjoP9wkRfkznkgKS7AD/k1R1uaKs8xhpgNDCS5xRM//wi/BbsE6kiXBFNvdCZat2RQ04W1IF+twNGEf5/+SlsBMg/iFpr3i52J8vt1ffnyIvfCB2nYK03v+OOC+SwqCL0oECjhbb+YRElbMViO8KsdNT/fk5hu/lDvLGbTwNCtu/szPKfO04a4M/GLCn0ednMm5GLtJS2Z/UDvRCcjatkUwjL/x4gYhKgrf5qqlBp/kFG7l6YkSfmMQqdnStywipu+jAI4IL3l0p6ABnyhGx4O4QAFP/lnaq8RNrazswtsuXaW8nHwfaex7jb809g/rhxjpTlp1bkhp5TAZ5egJIYGqzZGuBhYF9ms6Ixl8xAD2OyDlwSSzemrF7rBoGFRzH3Rp6RJPyKu0KNYE1aikNMrmb2pYkvPzx4Zvhuztt1TbcsASqw8UtRzWtJ9nn+Q56QaWDIi5E8UxhDg4eNWq9pk2AJ/nqvB3GnlLVDFNhqhYg+Ytl0Fczj5PnqI3onGtNyfTHNVhkQnmugxpTwYz3mSakIVpNmaBcZqMWcP4Awb4QrKsG8sZF1hCIxgZvEiUssW3PczA7vsfsQe4DP05kcqFTF4J7lyuymMgghl/bK39AsQUln47EMBU0mhWDinxEYK4e5/RzZj9BAbT22TFk8/gKS4DcwSV1Q0HuSgYx8bnh9RHOGd0biG0dL1x7r+Z331uePLB25gsJna/tn/LNFt3LA6GO0kc0mPuIXtNgb1xwznqjruXpudL6HIdl+cab411YxK+l+WsLa9yQnWs3aJFZwwX716cWsnONhvX3Ce7hAy13qr8VnnvkMS2I4SD7HhLu+1+Y4gs1gCrFS2EL7KjsEGNfDzSeKl9OzisFKUfa4n+0gbanDOxN18jBjdbAjsGOHOlZVRG+YeQ3+3eY7L1jEJJp35hpS2j7a32EwJEXlnQaSMYcMX7bjYwP206RVMDYQ6CazeMqjcQJMDQK36ZlpO88YPHBeFGokEpV2on/1H0CIII6IyC9yqjEbIjMlq4bRmXwIuEx/6hImI7/ITJTlp/S4RiWnmzlBccpvs45goIP6VtIVJglsne6CdHQYS/2B9dLflIC1+XtobZaaFlJ4EiQRZ9ZOwcLUp35zDifOil4T11YFc/mBzgg+I1BEUbOrbaOQWv7lDvqkvuq7HGXLd2HN/0BhlkcOnuRebLlBO3kugNtbzbFPsI1qGstWZpX4iqWhsdK7fdC1fQ6Pxi5fMJBn5gixfxJDdgDlD4oRtDoTyRi+jA5c2rJIp56+y8BGN68grklSO5MTZibjscyB8GgInZa9thxPB0bAmj+eE6yyP618NHRW3IxrDx0Jg2Nq9TearIaSGcOHnIPBFe98TNpixfGwSyeR8moG4IlE+8mWVPK1aLvYs2Mo5tRPdBQW1w5YGEOEAETxB41LykvWEzyp0vPgG68vF2AxD7TOFTgLsh0TXhPklXtmHjp99/5W2Xj9vYsZGhMchmLoYKqpZ6wl6NAVAOo9iGdfc25O38FB3G47NuEQXBxlql+9RapPpcu7Zl2WgmShivKTJV3CMJEUqsNp6URXC4agLWmV7CJQ0kHD6eq4ls8rL/IKFwgtW0T6Y0X1Ek0ZU5oxfFgJ6E79/tCTi+I9pZoSUAqe/OKa8Xcdf6/mLsTsBz3dqIzu2c5UQQEIpYHRvg8LdZl1PsLVSktn/VwveU2Z2tw4CBBOhqtc2tDXQZ95Sv7wD02G08tBGGs44ROk3pBEmn/FBejbMtu7UVydFVm6982D41kAobUJpDL0Sgf2xe8QGb6hLc3tFUug0aZk6SiBea/adZRfV4x6nNbTX5vjmH0FpOR22kLl1Q7sTrVQr5yzeh+RVZQGIYMuMmn4WclllqCDkYDcFbkherBmuIit4n9TniKpxEsTDbTul1by0a1dWgnGia+m+G/Bn7P8C4vP4fR22OfU2VyvofQp4O7naJWKwNBud7UVrd9CZKZT0bahH5eA6ChtkgxZZtB3SQt9uLGMkfJV/Mhyno8sUXfusTVO7qZnlrlb45L0ctb5TOicfwt2qJEKtpXWpoVJ9hNjxZcuuKrNlV+uuq3O8I/22WgNif18k/p5wNMf1/nyciy/5HZSRZ/G/uIsK9694iIXukfPfWRFsThP60tTJRtyC3M7DzE9cic2gWOe6iPpB3ITokK9dQAlBVdsIZAif8IpjwnN2aeIWBas7nLbDdfJq1L8amshD6Jl8HvKo+9qtAk4SKZ4/eBPtd5vJ6shrCWvt70jL28Jo1fYFxtx4WgjT9POQMsEUtigAhj5pSdlsg3YQOSBNHpTMyTnyzS7dLWdDdSPTHMc5wu+hSOrN2t9u0n8a7NF7AMu6Rt2vENVdmG89+JGHGP8+ZIZGS82nl5Fu1ZrRUChRk2eH//0Rdk8IfxjrbKPri5y50Hff1HW/1aMGcfFGsjpmgeGRKGL022107nAURwe43h5+HEipY0h3p1c2CQAZyv7QmNotGrGJPCxJKYtWOzLzaL/7Vpvv06obHJ1BmzxdIb05962zjAEabARZf5kqNNXM/Rdavi0C3ikIdKgOk6jGJcAq334diQHmtwTxfEB3h2eWQedr6ok76GdOHwJszk9JYcvzHtj6DNaeomgyoMUD7vLiSqV5NUMbAOqkTUlktSakbv26LDfpt0Fnqz/Ht+leM1fszXVHWMxxNMjcOU5Amdg+1BafXvk1K7IvklVT7NR2r04lZTtWs/N56NcIpx7RFLym8gs7tlErVugIezLBKFGi5BUyFlONg0mS4CorvpNMqKyLDkCNnpZmkQYsn4B18gq2QgcKTjSgreVVBjqg8KGcGsuVvUzXbexzuZVjHR2qtHGvDPW9SarvltFmY/ZIXCWCZYIqrKD2pT2yIYYJYHIDlxpzXKQKjuLDqoSLTxVwI1kYoh5Phi45LkUqFUDklhdN/JaU8llI5Ew6zz3iqC7hYOymdZA3LXu5vnxeyE0VgkHiQstgrGfadZj9YHfRsRTXe7W2RWnqE9Cdcdr8FntMjmdhmSLSm4/27H1H9QdP9/w/wGEqwtvaSdVjeWFvDdTqOs+bqpD9VT0kalY/5x7BLF7JVPTLjdvQ27+Oncw3tzS3hNh1wLd5DCnA2vYilVlQseHoGBdmdByIL21rdGUY4j5HISGU3Cg4rMqyAGyt2PH1Is/ACdpes7GSWDlmh1Y35oim/pSvjnCeMtEUo/aZLUA7AKiLykSfYUC6xcBSye3mmTk79dK6mTE1yhoXYRpjam7mXmmYSga3Q44uu9LRNWN/u73NVLAx8nQB2dto7v7CCJhaZnqqfMtjYnONpFXmq7ZsmRnPtwqsAxcwZMdQ7NHLYdnbTipWfyXI3CC9f6TBpLrcXsdxIPzTBs9Tt8v1c9ytK6Ebt2V+Iw/imn5oEbW7D6hiFSz0zMmKzwI0DjPFaogKjVBkINr2SXo19a8aXVFYHpf0JKg7d2S59IXkMEjrPqXScqpBJVcedmdmLbSN/t++tt1FDj/Yk+Rm3a5hcggn/c9ObsiV1gwwFehO69ML1jDWapYvniDsmYHA+DhMesOiAwULZfvcoZwK9OyiM/mm+Cb2GY2w+yFsJdH3x3gDNdK3Sa9soXmHtIO8MmHeCcWtGT7e67wFHD1IDBl1OXoYSmaafWpHp61gTaa4F/XVt+tn3lEtkj/6ZWK/f3W9VE5HD5ZE8En9WT8t3L2XkxsE+J4+FC3ZtJmOJ+/8N0hiIAweDQi1hJ/tZdDn9s8cuN7/6AwHqT+YZstyBOAhZrp4j7i/KoYSu/z7CIa69FuURbZTy6wH1TgUD8x/t8QNgKtAuPF+KJ55rHqShnxyHstRAlxHgCvXBRCllzpiMhF3Uj0hIlxygY/ZAJj5jeaBRYWmCWNja6PMHJTRZpi7BpY8kBAv8/CHbOi2/hx3uN2uwtNV5D12l8W83R6HyoHyO1CXEht/xHX7HNerOkTpeZLEfnGbMy6jbnVMXPRfGFpLi4GFXwiKee3R+DR9F/inWn3ZC3pCEWaCpkrHhuD0lcpbFr7pe5L6GWaBCrtm/Jz/XAD3rf0G+DyXAxQcn6qPikSbVWsjvy1hUe7kEs685RwMp647BpjqyKMxd0KcfbdfbkGcRiHJrVLW4b2an2KGawujbmtZdkYrgjNi5m6EE/VjkWyePwPdtBOBCkOfy+sRnmULUtA08mc30GntN6Wg2bHHKxGHKDMRaBeWdPk9QVYq4cmSSXUyM4YhvJS/Ezb8cMyThLqQP4GfYulptTzi313eytniLCaXlGVzizSSTEHYup0OrnX/lpMpjStPsOQ3rrE4JKwkpntI2HJasZHJC8rjmNaLaDPLka4E39qFt2kZ0+qB9SzzGO10xq/CHRFJsDsBDEwImqTqB/HbEPQ2Fvw/lcHHYGr3hST9qIqOM1YtQiLQfsChsu66kWo3TT43thEAxFJgNmxPkgR6p8FaJxd1jF/kPZoCfXO8fiyDaNc5RsXGXlSA2qo3qABYqbUnfV/qVblWz9dr8zByvUeK/O5g2kyN1V47OjCQoe+aRDMcT80gRaiKGj/pc7vMn/orRSUPrZbR4ySXfe5ct6FZV8lxpyuzzh7g3+F3MCe1m5gyV8O/uhgO2ie7uRPQpWypWNI8ByyCdCLCkvJaYbQCUR1u749oW8ndQLwW0RPCfZNa8ZH9wNjW+O6KNi+NWaeNQKbsqhMJmoGjF4bYxTrkLNZnUVORNUfy19Mkpe9MBNpARSrec4WwL091OaG9a1G8B/O/roRhAxFexy2X5wWHqfBLepxPOknBNgVVPL9N3AK1YgYcyxU9wo20nW+k1aaxQqVfwXLYC95N1aCAmUO2PA7wKvqgzGnvt9MuQGaLPZh4a3nr2razPIDiwi8zlrfKl7uyTs6krsq2ZNTpRE2cBNbDkweFHMYbsg1WvYJyQvG1vdud24Fej0Kzmv6SLR/EkCedFwuTbPqqXtavgIjHC0GUKu8jU8ANlliayi1TysmCRmifPb0we2bZeSA9RpRSbVxJtuSKD4YkwFB9zgfRRdaQID06Pv4JL9kOdCACXH1Ca9okMICkIumhgJphG+6Etb4u+/2IYy0r6yK8BvZmnofyyq9Je03Kn51ywF/3J5JTzGnLYmlveXcPq/AAiDQcQ1hCe+J/5BIIMIhLYUajA5OvRFz5Kuwzsr9H4qeZNbK2LHQ5Te/WEYo3LY8KYtwvEv1wKZ4N5kWbbAud8m2MKbD1oFNWfx+FMNQ30Y4mjx6uf5XCDp/csQL8VFgpdP/GzPe2zDrUMGxqn6ZF8jMIKNur7l3K614aivf+yRKPdbiOBKEZA+ee+YgWEVccmHX91ykSvrS9WlJC8IMlhdoSG1iMWcLD6HICQal8215pYsdQlsbyE3jkc/Xg29H7j3e/x89An7TOq0oL6GKYUblIGtoHHfMFx6OVNDfSC5QMBli8yx7t6j1k8PHB/L66THmP3ilkBcVh3UJi3B/s2cSuMV1uEcW43G2DzrlAFtuqfRJc56sxkrW5cUgGqzSlrXNKUYnpVpNYBlIQfiOpUIirzoNaB05pe8ZrZ+1pM9voh5xhzYUot7uqvdPMWVHzR7+N7tc87s+mQTAQQQwH+7f5xcXig2FcWUgqNkbXEde2T+kwP9heyqqWFFPtw/bDV1OPpX8CZSu9ZexhZPMB67lHidzterX1fYIJRHpMG7ywEWXEAtm4bYdV7iCzjJAK6Gw1T5kGRZgzqj5H49+fZwwNRbkyYQuJedCvH3Ya2DgCiNvoKGZuwhh0srU4mpbl3t5sXBbc4bSyj6Wuwf6PxHe3kTecXMcjXn9gqeAl+/3MA2y3U7bqxDthgMHrB47IAqaNC18MEFQPC36ZFLw9vF/Ty6cDajfKFJcvuLDrc4PDXfWdwGl0hU6WgwpzSV2vsXE3CkB8Cefo1PEvQ8r+9ZBDCl2oVIo0hAjfuLtfGyLZ1vo26mTgUG/m+9KWnso/3/+crB5JsXdvZabc9fJUYxX3h2R93ffXbqX9onCyeqfb8f7z9VX9+BO5IBV0S6Mo2elYBqoiZLj3Eq/LXoPnbjuM4Ik+7jX46zx8K4tNeZLQ7Zjmi/iWjYLaI5q/b/dWsXl9EWj4JtoMxyNo3Rq2TvVJpYvwP/m5y3Bij7mUlRbkr+N4EbwxdN0km4ZvbRddTupJN4MaA53Ow0t9Vn3nqMRuFN0Z4vn78bO6ee0Jvk93GuKX76zolavqoq9/kujGkLpnssOr0+eovFLo2mlQbIz5/1G7E7nGGJvuNkUvqmim8uukAEzJr3AD6PE+PSvqWjwb5eIIcM8eOZSEPBl++sTi78fv143/1Tb9ZFPtlteTb5HDG9o1ybrsp6n22wuzJvPGBDJb0crWgnUW5iD+2bXJNtKzKJzZJuw/i8FOC48prsiNkJux0NnbdxNoYv+7rpXseVroBTj1peG/8sjG96aP0e/S1mtEx2uyFiREbeDUiOiZQtdwm/iWKHdcPAjzLQocMBHUF4kySYCXGq9BqwQruuwB5/xDl0cwLCbV5gTLXip/KjgmJrk92zI9XoVY3SJC2qt+YG/9d4w2fSEC9dwiIv9dkw9JNKCG1Oz1Qxn/GUzPkR0t2QcyNv9XelaPvgmT+ZV+6aKa1VyOTUyeWApMCJfrASzN0ZpNhDvLJOaHS/n0hyDbeUBe+rWVVw8IUgbIEPCFMklrTsHejDMjlTg+VshaHwJ1YoEUbNDmzCP5b/y2el/oqMxBCOT8z3JYebv6i15ZKAHfS/EoyEchLM3Qqc+ICzTCmx41zJNMMeSkZ1dDS31wc/BgRTRY9GWyxZ1QWkrSBQlpzZjDZkHaYloYsR/MbnJr1un4atemWzHVrFNVfWuh6pbo2fEDN1CgPkS/OjacDcMt2ZEkeEQpYuyB4rD2kBAHmRKm9EBI35N1gkfqtIY6Jv5DhCw0bwfjcjHU34JEJIvjlOlVQ6XsIt9OFHogZ4JhALPZ7lSQQSc1hnqCAc0b2KogbKMVODr2fXsyR6KWdoyq+JG6xu0HdkaDozAHWKZ1HzhE32XptmPuPmyQ57oCLV322RtM3woIT5ZOuMwQt18/pR2FKWRWp8zHzPekG55603dgfbjc9hJj3s1b10BodWfdapawJEwJbAZg6bP3pe6uJhNNAZ1446FJfn399qVuvYwcOEPPBT9Zlg2Z4zemGUAOxI2DCjLy+TsGTrpEub+xY3ZCOiwVANn/uFd4uiic7k3NMD3xvpAQRlTbLFqWZ+7lnTStqyaWhUocqmnaPl1ztdsrq80Jj2L0iH4PV6eGLKqdVJbZl58Htsag7nZY3voGmYckE3EiHm3q4nsUFfHJLguQw8n14B6SDtU8vAhx1BO7JyFrz8l+gOCnjNqVbHKV2wmwkO/CpDcJwrCexkY5xX/Ai2Nf0qtwGzxUEobAWfIEsq3bQch7Bm0LgTWKt/LWDusBr22QyDDu0aSAp0Csw/ZFAuA3AZO3h06N35dOycz+kBhI7NCm8G57jl7MsK7leaYw/yfVi0rt8VbPJRfSJQr4r2Pai7lonEDPZse1ozzCe3DSpvT5skqBBp/ray0dweWGzmBISDBiomFzOVpRv9qkW/0BPy9PzSYzi+ruRSdTmIY3wRdH0UR/XCmC7TU+7Gy0z50iWjE8UqhXRaCo0eZ3KpETICN6nGGvPyV0hTBTMVCEiJGHWk+fFJd7Jb4Sj3cFNf/PmyfLUEVoJzYSSaoZPqFusDUAe0BJxQ+G8EFuCt7w4ve59WQW87Ut/QJYQfjOD2FnNq26nrNSByGoMOCHWajI0deWytHa9eXfHnFTB8yinQrvPahJBAPWqh0PaxckVVp1mtv1f5MzhKkzFUrqY2ogT7vEollxutB55cT01W47lVBuDT/o/50ny5Y2lAplPwW4zaeq/Y9nrild877VtWzp1pW1+xwIPst/XZRTR7FMaRmUMwNidzZPxS+CI1J20RFNlXkFuBd1K/PxuryrlezqyXyOWtKKHWc9m4S9VcqhKnWDp8sh+Gol8XddBEY3kU+8HoVqi+hKGsIJez9xd4P3v855az07PAk0yq/8awYT2DudChkWM2pK1cLR3cKTnWEbY+UTSO61ljz8+GL8aU1y2GJ3l1Dv27bjX+RiM0l6RAbtiGHkaXT0MMfu7qHk4Ak6whae9D3I1C80uGpiUDlJzheWmjmjVPNtksRtg83Za/OCMuCQ+vQxdLZj2QWwtlh80H8gldhX6F5G22SPCvHfcPPJ8WvnM1MHK9v2fzFJczNvuLCA2aWC9GixvDNkWtFwWjNKOgRQrckDs4KN0b0PZLM9txEdMMmzvcnZGbxQZSQk7wmU9lVw9G/c6NoS4k3hQe2lX96LvuftzOhNyz8yfITlELvXp7LUY2jOLJt5kgpa3P56azD3HyPsdCgdxPXQbEWh5Za8VBcZXJOpzduNJ3FkeMiBnB/JiynXfIMeHt4P5I9pVSxBjhctsIlYvxtK4zNOaGTMdX88IP8qAtjMxS4w63McRY4/CTvO3pnbKNvBDFTJva2Hm3k54ic9GgZMoXZyEB1enStO8R+JwHW/Hi/P4wXQ1eSrp9CDidLMvlHaKzGZbYnvaElTO1i3/7ed64rNYfHDiseGKLFqIPAs/uMrC8iwVogFykGEHbv500BKmpR3r+UIb9Mm2iWnrp3OHfnFokRwa5fmTuig7HTmmHtPTyrGH2FmPdjjG+q1f1lqStw2BZiIQrdHwpICDQJzASFD81GovSW36llJa2vHtzeXh2DPaNeEG5w5Rcf3SY/EZJo8HWFPlKb0GZHK5XRek3hA5z3ZZjzM5L0KCBh4a/26pcyB8m25qRa2dv3Ag5pJvnTPq6rNF8WPYTn/0BP+rITUBytM+ZMhtIew+Ho99iydpDQZDqMSlv5X7H6N2XTLHmhh1PTLIaWLkJ8MT6eph2OZkD0WMRt1PUUNkN+EIyIN9cvp3rXJNKdAm7NmNr2LXevnw3Lf26mpXXpXyRbpqaD0MPOB6CU2jSE8llsle/nlAZ3E1bJPWWF7tIPBkt3nLbLI1Ql3gtTiwn4eLcj9dR9TGf09uPDWkPTzZ+7G3Dxv5xbV9IA8XWhOCGgxG7DMkPFSIn6cwhd6hQngd6p4bh+wHaEhhewh5QqKDbFFIBCzVcj1oGiIE2S9ktVke4q8oPfcN0FS8o/sW4CKymepFNpL6Vv0N1IpYnPzLPu4Fnhbu3mEFDvlytrg8iDab+yLVvHZouyke3W7nd1/lbRdx8bs95+cxdNHFVd5iOfz/L8FVlH/0GBimDbjA0etSHm8BQuB4TvyjFDRNcKOB6d3WHOjsTq7u6BZDj0Vjm5hcskKJhXvGWLytdAg9Ve/PlXoLgdjqI7j8+lPAz1XXO9pv//NwZMDfi8sOHk8v+2SB+bPgaatH8skC8UN1QNSgWeQBtouVpwzbfac58iaKEj587oC0c7vboTeJe0ss2I+Z8Ct+MYuaSDq1m4JtWjxD4HGOpjY4+AVZhKGllziLu13tKL3JZvugeXJwheEUEJWk5kuXdFlUVJWqcIIHYSvQcjvO8g1663Qw2p00etQ01I3fRBc+UmyQnXIJ+b9c5XC69YZOtYAIYJZmWMO0IGVeF+W7+sv6W1nTmnmxLZAtDcsimGY0hlwPe4IWm1Wf8dAOJd3aQtPPfBbbBrsheq6GtFebefevqLhT4EPTcZpjUO6bBqvqLVDb+CwHLY5WK/ozK03SyyPss6mymeylZ+7fX4VIcTDTA5y7EB/66yrzbXiYDuQ/VdNXqgMeOVKcuslHrMTvf0s9qUm3uPPMoVqlFG/LmTRWObzk89p/7HOV0Jex2CziLrc3CpP/csCbo+/3Lsxmw0QT1SaSldo8G/GqmGNPx8uPpMKIGfqSNDaiHl/ZIV+JsZNTXGsRX1FS7NzShF4JEtFZ6xC76SKHx99J+uyq6xmu4LJtBFLB2+AUkvdz9JNGO3NetucvpI1Wf1/zm5u382cJg/J7/gwOtKFksXLLC8qM5CZ6JXd2Zfynhf68hj/hDrULc0r++JSzTlbkuqj4x5V/8ZZy52DPsSSFgjaS0Xif0LiS1j8bqAEbpr/0UGWvcb9lDXtxtW/lCdTfBeZXw7yZv5ptqxzpYVnYVUcvvaRjaXcHVaERVLkCMH1tg96xD6Hi8b4BoJvdK2K4bsThiFMIH1uBBbcDNWAQzNu8wQCfZWvwbVtA3xy7TG8OW673l7slbh9vvpxN48LmdU1r7h9RXyQqf/e+QTFmtC4Jrlzx97GXpQyvBb80JtbOTBufFGsOvlZxwN2+vdXC+a51XnHWB4kOflhl4W7IhniQ5s2VdHgWQF5f9m9SRXsw9zf9H/XNytoOBtcF2TTtWnTKgDTuyII3J7oQr53eIR//s69Y+INeZbF5AiVpBbuFgrubBpO1x4Ld/jhUJ/DCYGPWLJHFeWOpqB2E7p/F4eUEfPgzADfdAZt624Co3ARlvoesQ3sLQbz7x/8oAKJb1/GPYI32Zotl+/uk7Z4/5M2VkHE/NfvN3vha9PEW+nN5c959w116YUNX9ye+1Ib+H762UjOCnIzQi8wphHMz7nnwZNu9e/IUOMXwOnK7Z0F2kl77/CiHOhf7cdrC6DSL7XOw8u/yUkQ2j/4uJ6F9Po8Ru/XvG08f4dK2h9MH/fWD88UHwlZ5QZii0eb7cpZtbysLv/rdM2wX7Han7OSbuPCb226N64aF7Uw1tTtfwGjByfagtvse7OkjaJLnK+Gv7B0Psv+b3RG43f3KuvUvWR7e7vctDW/QH0IBXH4etlsFnKuzRRctlJftgtgEtoA7AongeOe9/p6l5/3f7LWvdWICQO9P5KNpfxQqrIZf2VCnMgyPPmb750wvrWMXkIwhSSqArmTf1vpDoedLKS46hoKoZxkIiE7TSTo9QD+ITfcBDf+9/lFnTTztEKkrvNqdoBWX7wY6Ea7qiZLJyk0uYbPuXjsOrGaGLd3NhQeVUB/Q+mnPoMdnuJAFATTl4iKC+YmATKV+j/s0/rmIQaLhDa8weklLFtaXbElDYtUAiuBePMc42HHcsjUjtC5Mkbt8lVyfPBdeZFPbMg7M3c4/saSyvl3pFiV3nhNGG6jqG4WFFXedLSvO7F51coRvd5ZmquRDxLG3jRBzDQ01zIOMd+9Cl7DvzgLBrx6Vbm96j9yG0prA4A7EByqKCUIDPObJoH5URAaPvOP1lE1Ti3glXu/aVGIZ0vL90+58gydFIdhVnjZ8IiJVgUi+vZFODwE6Yu568c1QrG23hyi7RjIqitBLD+Y9Omolo2wfI0gxOD6yu5GiHReag5LZ5WGiyrPuK/06qkqlR5BhGg8yWANNIplM7wipGqKkbrcGvl7Y9g7mCe0ThZ+991Hoj22drplPACQWsFudAPP398K3DhDyTpKn4cvcoyMBYrVfwSfZ1yHadCxw3lrN6lQOSkWrw3CZ2z8QSCQBA76SPe7Yz10oy8GbzGcFhZ8Hpub5DBFzOQLnGSrhadKItnr4nmNmUi3giMKwkIU7W8YrKupoHejascNuFlbmuNDh4cSfxLN85J0QQrLX+FXCyIhKFliDzD7KhxWdk9TBiZQyIgI1BRrOp/78CZc136+FbUQafr3EGNEkJZ5ngiZwu5LhU6V6jCFehAxNIetBg0CXM05TozhWa46uf27OVrQyMSdUcWNdRhCbCSFtgnjVzYbYc3SCofOQ7Onid67Zl0A70EUiB8tgUrZowhEVJ66PLYxtKX1W8k8bZnvoZeTsqsheSp7mAXc00c5gtChq8w0C9x95v9NU5phiBrI5R4m4T0EDbaMxM7CFlN4iSzCZ5MQPUhynil6s66N0ZgjYHuP2vzHhfhJTA4iRC0ABcHkYDDGqtBFw+RBRyCyjzcIEDS8dyj68CC2rew857TN7kpIZB3kH03JcyN+PiDtE3gQ3/PzIPoq7mJIed6xSrWpTtz/ATqGmS1UbFfvkUcSny/BWBrtUHK12d2wrahqKrnZzc3U+L3ZDy85NLxFEDYxeTBz/M0wjAc5aG5IQyWRXlHv4cZBNXlAYwUEvlMAmQlQi0ADO5GYuwrZkTpbOMCCvYv1FRJrVMKl1XklcfxcpHoFkf8K4Acl4RmWiZHb15x2LgPxQP/sEf7rys+2Iyr4bqGelemaVx2Ubb5OmXtye2BZPbUON4ksa2J+LhdLXmdOZlyB4IHt7TLtrsvyf+DcLUZzD80CSqRpusBPJPnW2OGEaEItrAAftpdsvcQdOZvtrSk5npfzwXj1i+0AkeeIp/jUnm6eOoObTkC2wJbHQgEDUHBQIMhm5OEi5e+WJX73l7iAcxMiJ8jf9yaM0PG7n0yXtjNNpuznBGR5t+8BOiNTDCXXWuXinerG+g4XhLIuC2czXbGZi3x2ky2+0dU3pZTU+0+2yI8JTlkc+/6fWxEzoILdNKgQlFBJ/KXVQoh+lPvwF3BIweSXABQlKnmpnspQ4DUgE6+2SGoqNn+yaYosy30SRvIzl8LvFSFZrerglEDWP05YnTK4gV5FsHs+hyxTqsBp7rCGRZoVivyqm2pYhlhYanPjPva8H1NQxJXVqXFOJPDhlMMDTUJQnQUv2TjJTDZSc5aL3TNDUJJaeMhG62LKBagqWXGp3MSjdmessbr0k33ppLeatGWJ1uPBc5SGkUlwIbYkVqCA2w4YcnlfmbJlf1ZdU2SFzY8v3vcCK2CyXVxLCyDVarjf1ckrkKNdQRMnGYmkri6itchglT4TZWhzSPv2cjPEHPN2gvUaRXK/hScXUGaN+8ae9onIJPeGN2pIkig52ybJUNuWaN1RjPOlFruOZVibEdAl5wolH7ChlIOc1MKHwB56EM/4JGxL6w0tqK4CPCGmAhRBc8TCpiQtRkOYzgoHkYZ6if4TMB9TUkxMtKzEMW0Ul0aLtww/WD6b3dWhIITyaou0rkBKSwz1jK3ZBIqaHrKylYW/STAnvFQz9Xgjl38qrKQSxmCTuocmWtQ0T2bBbWr9lLOmfKKuli8/S6xjepbJJG772vFYcrzIZd3gXNIiOuqKsxPe9DhXxmAtMJiaNiLDnY5lj61lgggbrepcMgg/kQ4uz+hERD/9Fc7yc9VlNMIZIbTG4WRwNRlgMjs+sr0novRvofto8nJ0TK6r9vocWsQvWP9lVFAVi0y2R1zNJFrx2/dUoAf/sMCNt0weFewLO52IssSi5qpK3MmkDSZktz/pDh6Y0+JN4vpQf0m+ZEByT/OhFKPJYIRI5ciHKMlQ8eC+nIYtlTKIoSVGgGNWpHpkIgRgNH/SH/xGWyb1Vb9QNRG35C1Y0SYRQEVIBSlIkcmQiJHKUpAgUIBWgLEMqQCJHWYYq9QKqUjUqZhcbiFq+g7VL4kcmOhqeGPW2iU+WMQkjFyIXoixDWYZUgB4E83LLGEsswfGXXolHsp3nEEz+lSVkd9+ImNhOBonyDDmt9jzlT0y82Kf+xfb7bdAcChuLOD7ZaYJRQikg4wEbisCED8GPz0JwRUG1A0ELVejB8CaQEbcacjU2QDaUQamlmPigxmg+mBHpaGCFwBAABw2+fM+7sUfMIP3d/wRB3O4hfUcol82B28dDJlO+HdtKOQ7xcjZb4c5Wuo4z9LMFOIf1WqrqRBKuD/w+MA/K3g1G9CGbAX1gIDIO4g1gIdxxaX1HKIIdF3B5Dke4Q/dMSgLD5SECKXErVDVPcROzFQXdUkEdijKkM7IBTTBrjiFgFUOL4abt7B7nmZNz1TZ2LcnwnLwYNS5SdDEYrUooAohxHcEe8Bij6JsDRizTg1iVSXgGBstlpDEVxGpyOZGhhe8mxPcANqNsaq9uApphJqltidE08CnSm4Bl+hCVNOV8RmZ1XYHUyK7uSMxG5rM+HNAucONWEEc7dHuiObLNajz5HL4eWPrpAfjYrQpBTxscKjmI/vheKzbzjALRdiPH2E5YcpjkcpnMrF6rWQMdXsSGKPu4RojIc9dya4+oyG0MbwIyMup2UmVogkhhye8egj4mHczRAD3CzidURI0M53JlFxnynYfS1usDCbbERNiZy29scmhqQkUuI9gDYuQW7BoAR27wUA/wke8Q3ASKZMTw9lccAk+CzUMNsCPDh7VPywmS2XzJyQeaZORqCRrFXv5abLDfb5zohdBZnigRYoVI5Ginrz9yuRA9HSQleK2P/8AeRQkQiFGWIRWgWFWoQnVI1G0YDY5t2ztCouYaUXlk/RAZqbqnCLkQqQAVc63yK1AUexLFEYiRCxEpQDu/besF4aNb/8GeRAlRoBipAJkIiQCpACUpMhFyITIRSrIjFR2p6EgFSAVohLXtMqlot6uOkml6kwdIkPAhW1xZT5gKz5JOiy8a54s7oZZzFT2Mud05dqb6Sl51BQAFyhTTGZrY5mQ28sys75dqSSCoQebD7KdQiYToL0DZsrPvVV+dr0jwvobYvk2tAemhzIicZwPBTnAXDryGUqPS5K5ULg3yvG/AprVAaWND8v4ZCQhpduRFXknxTI/KZEchiy3xI9rKuMhm4usuQEF6K/qK6HunRBszTWAbvBWcQ/QPwYAwGmNu0oqkSZT0oX4ifLFFZXYC8nxf9dt27uei9suJcsDPFg1hO5Pl9uzCcnLnsAopHE0S+kS1XrbyaflNux2R0wwUxi2SJ3eOuJAZA4aUfx9dYpD66vYWftNUuF0MEY7tdA7EmMEzhVL4mSN5NV2WpWZWQ9H1g28bOJvy12LPOiEaNf4NryJoRp2YzKR8hcdDMe6OvWZp95NX4SaeT4LfodVdHr5z3OVYe6t7sjMKZWKGnMtczGexd2RX7oSyIzNi9glMtsHr66BIMT5KHkFyTCp5Vbhc1OQ00yw6OhERwx0/d/YWaYO39CyyY8Bk8thNM0O0zWJjlR/s8/PRn0cu5HSZWXV+Uu2Ol/aXDpdevMsk6/vXH5PcBZ8nTRbZ/SVsd89c47ooSre7JduaRCoPvO8kqWrrhJSKaTtFxw2596wQ8qve/SjQBiO/YNW6UyA/dNJn7qQz7vYDIwWb5LbMvU4nYruUzyHfmdDiJTvxggd6C3pMIcj1P3CO+IGsHeXK934+wmtWBTr6dXHC4kCTzlZEpRAISSmSjDLxmbT7F85AQCkEOS6f7K5FoeSy/vHp21LU3BXp7/+Qe1OdhUDYO4ARgfK+iLxDmOzthRFjVDeu24onVkGnLMBDKsHNKKyPVnFvLK37VUtdrZpk7kA6X4GhlXG5KuxChRqL6TxV3EWKeEC0cLNTdDnOjtGDdcXQV/hc2DmV2Un5/FUijMKWFnOzUzrHZEJQKMYKIAuDsFSmCyYEjFtXYQQIo5/2Ympu+OFUA6+wVlOhfvYYsudx3Abh25soVzF5w9vVd/59tqd5UzarcBw1MgqWcZXOdbSjd7SQ8hKqVUqZGOB18TTbGd6E1t9WXJQx59SjQ2SWeiD99Bor1tu5KXqumdiZSAunlhzTEPnTeUa57LlXZ8z35OKrC5j1JkG456HAJG3P13pacePg0bBfDJAndA6ddnL1o8u/35CZorGRrWE/zWdS7zezbhphzLjPEgCisc5sIJO4v2y33F1P9lJu5Kfg+ixJdKmXhxHpLCU/v1Zmsakqy9QVVlasEkmGPXZdfp5kX0OOq9odWSoTj09RfktLKXLa1zv94dfvr7r2LOPvdzFrf3kkVsXPBmSMGu1dGe1+b6HVsWXpERVA1kp2tpa48O6HUjvWP5iZX/D5JqyDiHTTu6G6yDKAudTZ3fLm54o8sCv5P2KAyMZU8oPcanstLXJukeQ4zqT+8fzynyeLHezT4JNMdTW19NeL7XGsZkEvPeLQmO0umR2qTaKFs8ir/WRG22PfpFnnOqJbGAlsvaRZ6Bdj0VwFcM7Ci+ZZZJBHBlEzFu16H1NDmerL03p3vLxHKnv6+soJeUPEODRi2vWq9vL61mv9dfS/xcFvYA8AYt4z6/3YX+oP24cLXhq/oP0+1VZ5/wk3R0vCxjSvSIbuVbF7tlcMdCOkIUHLfOVAliqhh+Eq3yJf7PpYkAzTuYEGGtjzBI11CqfM3hssTJXtTZi4C4iNh+0sESTXR+2Mk04meL5Y+1oym/X5ia/lQjKDhorZRCAEh8CYHiL1iYBhAYxnC73k7Df5ZU992RM3PXfTC5fe9hl+WDaQOkgV0AGuDrIDVIBLgsjklyihn2IJxppCAC1otsj9T6BahNDODWQJ/MV/7wB0CnF2MvCtCnx5XcntvemArwEWSIIxNb7622/ZH+GhHadWHmzlPFuV4neU0b7TMtG6nqFpNCkygZH6rsgl6aUf6IVZcGb9wrNPynAJ6UXdY2E0HNz7T6VV5Ym5bQKhTvrGZ86prHOoNazMqJJ5zbXbe5N7yBJkQ7uHFzMmhWIC2PTlJK38aBsdHWfsv/HXvVmqoxVnove6Nc7fjitKGjOjct5YlXb9MN/KIdgqMgs9YXvNP/TjcZSTgkSqTGUumwliINybpVo3HxXWFqJoYntYuYu3V+9/+u9cVR8eTEaOgq9Mxlcm6ZWZF2P4gLj4U6HhA4ng2X9YjiJgCQvh+6wsmUh7Qzvfc8c49zs02WH+F5ZCkyCebRK49fonBCjQV4Wv1X0lIP2q0B7lKnXeEmIljLe1+ZB4b4HtwmBSrxLOm1JxR1w/hHgwRlDtgT9SkegbGk6VK9qJRYp7ixAZH+5Xyr7fMyFV6RmgqPAdYJCogq7zK0hDvrfvUxitzDQW9aTJU2tUMMreOdrG98dT/3NMaRDACMGHAWJJsgXibDuDQmI4jWbbI3zpKmIi8MXpqn4URIMQ6qISZT+qt6TsoZUyu3UT1knBubt0lqzczZrbjLkYBhx9GWcPcmWNiQGMrC3VCp7l0Rwn77crdc1lzWhOuFRq9ewStyivhv/fv02w6pdU22HbTEg2ZpXRCL1JeNo2tNGh/zEVGNJgk2hvru/aXHvaG7QlTJZvMwXt7zSPhiU1fNdu8UochzKsHTHdaD2zg62gno+5xshBDlHY/JbR7VRxlsaQ2yopSj7c/enNRIrfpJu04MozgNx8gFsUQsaPEiBTD4ClW5O7md8vblAcwNcUSVqbyxGqyFupx9uIhQUEXMvq1zrayxkryjYFN9GiQPyZy4VBz493Ehxll1YjxYxxgonY2B/sfK+5cCc3ytG3Yu7Ezplgt0G1j2xxMgXFYyhJbjC7F/afd2ET907v3NOS8dEswVM9ve5SRTRnHT4H9fjE4+m7VCTlaJV9kEO9W6XWSA7KGivB5MeOKztDMJ7LTesDJG42EbdcP6c8LaY2aKA7HRxkFSKbTBq6L+XtA3N8OcxHQY7lRBT+X4DKoQ/7bnCkWyusHK1tltfGwpeLH+GHpdGgOHdVFWyPgt6s1HIWYmSBuJ0gGyL0c8vBUc6x3A5ZJn2H5EgAPTFLdxvLc4ajQnol2J4VXhTxI0KTFYxYhLFCebcI3XYmPrdFXNrVszCq5dIljAC4FVtWJzeLsSX16bx4qk9f6IsFpIVZtocgA28u0PvrfgERwkFVV2JzuXX1kPXFkbCAj81iXog+AfkrKsI4zdjVXSPVYD20ha+zd6uh1E2az1Y1jdzo2acb2PlyOMOPKdKqFLPWUqw3jvi6MEpFrDDBTbi8y1oa2iUoFXabMaXxya+NPLMRHDn/XYJymwow0298/Ca3oSvFI3KxMSMrJSLhWunBE+f5koffAc3Twwg4+qcJTROa3zx92+ORR+g4k5jZ/DKbdUICUn95iL+0Zpgoj5WKaV78P1q6tWeINSZ/5NHn59Efx2+Pu3V6W+lp4mVnhvGIH5YrUgN3dnWhTbdi47AnUbhtSIcNG5NVJtF4OFZt103cXds0iIzfj1FmlshACk2eTOQ3wILXsa4Ca5L2Mib4cdvaX1hgY2bGJyOsRWxggbdTXsgr42P7wG4GND7/QNtI820lOwONaieb+fa+m2Zrd42LKiIPPCwvBji52ZsBwABnVTFTdyk3kkNqb+LnvSVxwuB5rRdhH0RpU7hjncdeK8KnFsAlQmlhwX4r2UnMU4oxwy6jbe6ga+3qnnQhkztiKCBP0k/9KSn80/ji06TcxtaJZilSi49QXBKdOF8r6HnJs97spl7rEJDSbpl43qTOJWd4tIuET9yL8qDaSumkjAmi7EL6q4sejVSe61dKL13To/YyE7R8IN3uDaeTuLJgnoPs6Gd82t3dUi75v8tx10YPrbXwuEXpn+vVB5M27ru7kCYGip2Uzp73rZ5Ga+lw7JZIgrBq+UfWr0lN2kP0Se32NranAcP0Jf3ijFt5mIS8/v8gayfLGhBrddDmUlK2IsOwuMjFGHHBu6t16w3qd3TRt1tsr9ffZZ1/iDzpTY/1OJud9d9Bq/3/FPj1PiP2lbA3oV5DfcVHAnXTaQv91sSkoRotNeh0AyAOuxDZRA3iYXF9quTQdTWZSGrh41MGOV8w2AI6FMo7j3JkYtDee7F3zN7midsi4YjrvATjLbzAZpDSTu2gijeAGvbSxxHs8Oq0IhFmrGB0aLzmTcbDwzbV19CNOgbX1ccMvIVnTzmqJFOo6HXl0v9NnV4GoCY/JwQbRIleI44ZSjuwG9PQM8jzgBpwVSMMXkNy3d5HkKyNAq7e0dgyW5wdGV196a5031w6xU8riFrYNxVofclNUuf9GO1cxpkDYwjJbJ1Bc0F+9tXF6cvGBd4uE8uejU2io1A6t2Fa78xGiE96WvK9XGfy5+ThuQIeyIUrrcBJFKxIo6IQcnO5oU0+XkB/7jypOfNyiaeRLRKnc9D5ZHKP1tnpupt9iX810pEu032hI3X90fKdZ/r4s8yl4Zdrzwpia1Xgd62sglL3QP9fO9CX1/7xnMNl+R/xcSmcvtF1a4v15G+kbJPz1lfPY/s1lb6fyllHyfqG/r739cmcbYdPcfpcUbGm3Dq5GxAVDV2N6geuo1Kh/2fx2qfFXB0OMXzqUkrVQ+nG6pCxIU9MWjt73Y9J6C3zYFNPjMKsJ0hh0/waGL5Qsn3TFXsCqJPdu0Gz6vjJXiDZ3H3/iFgFO0C++oc8P34cvzy3XvgdiQW0si/08qb/wg+RDd3og8wQ/6I/ewqANyZ6dwnj3Xz3d60HapmKdLHN1fZaDo9RhgdKZsmO/ktOnr8VedKhguluEZ5q7RkkmFrzZgPGHvmC6+4g2utROjhoBKLUflmu3YMry4hM14FCibai+eaPma0rB4XEO4zRkaVnmUsSUkH3Q7zZgWN4colSGiDFb15uTtSw83dcpT7SjSgZ0ETyidFbw5Csf7vf7rbm08pQGPutpe7aJ/+ubfLR8Wf3JePqTDPduyTs7H0owt+wJHP8NIlIWAT4CtnHKN75Er06Dr7DoYi1OyXZzk0OK4QPCKdQRkrqq0lgDZWUjc1fPckuz758+2iqWSFW5PHBJKARX3UTNueuMp7tX/L/SQzyJiToj0uE5yle+GM44ZHw8Fuup075xN751GvVFIJzD6KYliLpQaAgU8Vh5S2e+QWDzBHTZ9OGsSkxfpCnQUsQ69btTlg7DXHCXTwdF1TrdqNfOspc0XT+3yT+IWAep/7jr5daPsc3v3pCsZWp0vIwnELT+vWiAcnUMhZKyOdc9GNgYYLPQFwK5osJGV5zt1wMw23hn8qTjCQ3xUiQlC1nNKQhBkaDY7ddwn9fr1tOm6VlXRwYpQk2OZwJbDoNP0TdLSpleaXM7BXB0H521E8auUgAWgvz43jL4sgUAP/KXGGzcETJr7sXpm8N40fEsDGb3EKSNLo8iZnCEO8z+ZnXQzB+P0JGpbpWDN28OBChixBESWwpKYwDGZ17EKPPoC0WQiwHjjybSPPSOx8oDFyAPTC+TqcE5P7QA/NKIhWj5J6uDz3g9qsP3Gy9jYYUt156W8u0xE0pRTEG35XOFkDTBabIDkByp8Ty81pt7RVzz8bR6IZ+YXE69yjPJVAN/U1x3ZbkFiqFKEWzknjxesDYA3dmHPb1N22sVxRioENZmwnJCUVaIoe2b6ge7FRa1eWYRZMPf8LYf1urjgrGbxxqQiReKvDHsmkBFuE6YnUWzX0WaiyCUKeJi4Wfqbn+SYK9D5+lwEK/hOB6gyWxahJqyabWVK8c9u9SHaGGlroCmNYCCiuhpcYxxle4pIrfR25TAAfEv7Q+Dq4GLRJKaBvCg7uuDqMAanyOJ/dC8S91apAKV6H/rxxnCWmGBVl2dc/TiYSHs8cQZt70aBKk7XPM0/5pS9U84D5rq7QOpX15Lqkd5hAzsLEuV14vfbHojuOTEWYHKJvcIzEBvE3PzhVFUFRItuRXJ886SYtqiZRfV6YktTLm/uwuMpd6ovnTVvgmNTRipoGqXmIdAC6EVTunpYRQAv9xiIsvGot9XTnb7tk7O84qc2qZ+6ca7NBjhDBrpb+5Q85dT1bv6D4HcM+ZhCHUdr02Sus7TW3ShrqWd2JOJu6OQBkLp8KEBJppCueD91vI5f5YBkz4MOtKPLnbeadY9I394o76ggZVMLtSS5A3YA/uUgxILMHh8MuojznqaXo26E/Lt+LmP7cFlpxTsw7OtKpUeFeZAANb7+QggJgWz2QfrhoFhdaO9TeiiwVnPeKqeDYsRXSFFf6UANYj7dizEf3UfOINNUPXblqh84noT9kjIIfwBFrUxSE7EKLaco0ZodoOS1FhNf8EJIOJsSZD60QDHcdmvzaIyIYv8u19eCayekGSuw6V8YKc20YkkyVeofiok9HK5KYk+/kVxQTHaksSahHTKG+9dzdMZeNahLNVuLoXV/dSnNeNKhoraUqXC+v7+WfGEK0UgI2qZc6u6Ltk5hm6j1PWiBubirm2oVktW5Xx2bRcneFaPDqqfKc+jJwid8QusDjUITL+upxEZYFwUZOOPZtz6xaonEnXAsYFX2KFwFyBdlKEC+7jNK8DjrfZlmdUBzlEUQf+hzKNGkFo1uTtEb0sRvLvsQf4rlsI2g+zMSmNhJUKKbkJhmLdBlGjixGL7jP65I67UazJSu0oN56G0yowTJ725OKV0Q2enoJbY9UjdWqkR/vB2VJJeAOPPaxYPDhLcn7xOWISe2HFWydVt6i6z4e6w5FvFHYVbQodPnDh5cJam8LOqf5L6N3X0Uu8bkXex3vs1XF4HUvG+ON2eAWPnpZkgbX+JO8vjFLBs57naVYbPH+ZX5LEjeiOnKokagew/kNRPT4MqUTEWk4ElQx/XRQ6jL3NZbAkDxjPoxR12BSC1lFwR9HpLBEXA/Bg6uIFTSxLnp1auwEvdGXOV5ajHhiphCUK4t1RHD6p2UziDPhxANOOq4H0J1bUnXWeqZYx8zsUML15KcaUmbZmJqZlzKS0TGDyIUZGJayT6G1Yyif1wDxW40hiD4eP3UmazeFOAjTYQm7qD/2xva2oyk6/zJiMzvWIa0Oskmh2CmX4NhD4Us3s4YJ0FEB0narRVOLaAFzLKxcx2AVPEk2I/PqxMAAzsJP4nM3+NHlMEW0U1EieECZIHonZBQRkl4SqTLC1kRvf5bevXstgH/9FVfAD/JHkKy5QXgTlIgXaDx6QMXbm/uiSGiJcEsVWjqlbOhU/OCCg5lfwG/ymS5pjrmmvHDN6gE538kXKINl4LkVypsEL6Ly8Yc2LndaO3cY5+Tj2LkG7WD15TmoRT8XGuBSNHKo+/wl0nRuem/425iZqAhK/7sMvfA9Sf+Y2dPD7u+z1j7/HB7RecYUFnVLCoO1dbMbUwJ2epJ7c8du0gN2oP9vesfalhwz9HYerSDbTK3Y+cU1p6wr/UxcVLl+TVIqpf1CoLGbjOjrmDUwCNdnbZWRK6gy/Q7/SB9CGcaltvp6ioLkc/uQt0OryRApeu06Fb9fknQQVGsdsoJvPQERF4XrERdeeUkQA4Ix6WdjpC5Trk5JUde3ioqWDu4lTv7cCu+nBz9MB4gXkKLNKJiVeCqIK2oqKgixgMMgT+rmMqTDtj6mQTYclmRQVCvXnbR0dnEngPHTIPVKWOnF0A7p/2oZ1WvxX9g/WArazX0ivm6qpj8J0VanN09Vojzj9Tsf2T2cC0zLnqw8tSPeGLzI2I91nm4z97UGvw/+TfZErApeLOK+9JBK9R/nGFTRYQffHZPHVQjnkRXZfLSxjuTRVcBxd9mE5twQOVh/xfHMMoO5Ros2tNWz+brwm//iVHO75AXL+/sMF48n/8aN2y8ppBeF67iWHrcoGrW5324X7gfoVj/fBZsm4SZ5r78tMPC9+g2wu4qNc8arj9fA631elfjQ2FyN1IovCe/2kKfvT/RRYxFz4XR7RYEl8INrrUacO4HtNH2VDTr9Jn2UEqtvxO7mWWtH7aM6SisaMinhX38VLxEVpM9dYoXGhElqH9rEwBaSwCGPcDA0dIUmYKVuvJFLfWxYA2ca8l5NLGX7afCEKVaoyd3n1KfyhL/7Epvtkm2a/S1W24w755Ewuq2L3+X+3ys/rQcsRCZ/k2a+YN3Z1LqmYo1u4a0nr72u7T49d64Ozy40ojuScQbnJrcJeobTAFMfLJbJmanybnCzTQdN7M6jjgw19GZPUK6HX2ACYq0iqvHGpTnhKmCRdsWoVcBzyfx/8eY7O0SgxGmy/+g8Mxl9UrMnhr0vxeBcQ9E34a60Ag4qGWLSfJQHARxVYZSFUWlo3LyFp9qNw5sXJzn+hTAOg9d86GxsoyWh77dQTqKvQ1M00T30gugIjU7H9VhSj5vhBIU62gGQ4OIoRFR6GeTn6lWHrEuyZm8xzJCVqWc5OjUawSlDxy+Q1QJ0sSjFSdJBiHcIdNLFyrKBlEKXh5EVAJOffEL4qKo0saaPyeW3+acvX+XHb4aQGdLBusCMX2HPYiygw2DVBZTQNKitn1aQ8LEHNoUjaFnReZWx+TpGFMqpbJtMnuATBVI3L8lXj/WmO17S5rCZohVewN0WkZ0ddtplkvxVbgx3u1OAk7miFZW73hpMjxH7K3Afia/PqEdv0gVkNj8ciZeHLsJcio8qws+JBwAvv8+pEzaYcRDVkECCf+6jaCXA6NPgoLwzmVin6CCfikx2+D1p5b6iZ79C8sR+Ra18M8UvNjXWzJhdMy//svd0+4oakjSCF9+jUzUB0c//azsikvR8rFl0A4en9RLYbAaYrVhaYRrrkTsuwVZk+9ORZxB6er4iObexkvtPRRPDxKNm0asVyOx+mOChjYOOylDVOa6Q0zE2wX9ohJWzHQ1j86iQyMcMinGNHi5vtvdkI5m4V3i83H98wIxrjSb3knN436UynV7Vx3D39hWFp7sHxmrZxwu2tbc4ZwxKwdwlwn3Gi0KUy9tEu7pafdoOvFA9rf091xd1Z1yaUArjRgt+5hzHKW8d9ekcYsrefZsK4VpvAwvUt8xe0Qz0cVXZGTBg1zEF059hHqYvTGu6+HCk3tpVr/XTwaSgiaISMVuu9jaoejiaIrY0E7inxw8w6bex6myRVBL77psn1jri4fpfs/DJmyjm6/pQjF07QXSmKs3YT8QCOJmDHz0RJGkL4OOBkx0EshpzOmmmfnbeCXTp2Qw+lUcnui84dpEWcGdjpu7vmGwNkpPN+xI0J/pOF0YlXVfgMg8QDFP/0LN5bkcwiHZKFPXG2h07mjihES0eNPCNttlN5AF3ygHg4oYRffSR/+NdY16frVPvaDU9W/RAjN1QLgOHtVNmG/7Zp59iNRckNrHZYMhEXN9emfMhsr8sYv84vRrJMLlU7Pvgsi63n+q4pHa3LOCS7SYazm8TXWBhzjVhsq00VLuw+nu3gUs9Eu67npvB0NH0Qmea6RplDE3sQ59TjsrAp5dAuLjOOk7AUP+Vhu9a7W+dmyhumR4QvM8Xe4UBo6f576hM74gx7BdCWma+4z1SDHEdkTj4bw2S3lP1u8jmQXlHgNKf09ca/fvdr7f21jzmm6PieCbQ7ggpv15IZlxSPc4XPfuxIr+wAwwpgAbm/bDL1yCLW/6yMBCoeDHAwmBt4S8w8PuxwgLQxfWvayW5IhH7S0eQb4tjzUC8BX82klt1M6hKHc/t1uXyRv+rbJbKECBdbKKDrxFRrcMvxiW5G1p+QTND/lYPEs8rGuXiiGwH2qpuISjf1q0OLBXIqizTmA5pKXdIYHZKHEjScjUTcIXzfC6NgZjLycxW6kYmT3aX/xJxfr0kSzlvh0bUI6Wrd+au5f+Ao7gsH3bF2sOTCZH5+4Sw11lQVfvcNyOjRrVXiPWLB5bQFM0c+O0nKBT3Rt0eBc4xI7UorpOzqcpCuC6Z11SpTsFSvwMUI7xHz8AwW9Yy/+nCVimUJ1+nib4KZJVC6kx/dJJbqiHieUtKlyzq77bLgbCLScRi90yY3u7VeZrz3kZJ+QQnqQhusVL2X4EtO6MhXHv7/DxSwcI0lNaE19EYUdhDs/1tgR5BzOqcKRNaxnupG74q8iM2GmIhYi3OjY9cSCuROr8ZpzAKZd5j4JEMSVqjDx+r2hTrjRZBV/RKEvzbF2WkyPe21zIxPnzHOFEBYA2iyYv/pKDQ1IDA5Z979Ml8t/5hmia9MbPob97i3azAkEjUiEltjIomJv+jreldRuBPie1NU/W/SOahF8yakBaDcWNQiavrgGvp0HWKt1BorOnTG7Y9rpU3aVvXmVJnfNwS6/auXq3l4jrFnp52pSvX/us+p351trSDgpPL1nmSpwOTIPWsRgrgmE8DPF/OJM6TAqzeJs1STXhjpvk9c7hBlihmVa+wFOFzRjpdVYqpVeunsFnooajUJ7VwAxuStxTr4++Ut2Qd1DfgXmT1wqmAa2cMvr0hQgfDrzxLBjj9aS3Ca/XjRAJAM2AAx9rpjI5W9WlcSEyQbuXdgIXw4Q9JyLtjc2pq3D1MLuHk9wySiK24SIbYyOKTqTICknPNp6r01qWXyh7WGvOzMppoMrpVEf59nJSWSphRn4ov2fISLSOhydEfCKXPJjCQZaOZv63bul8y85nVIoVcisj2WkyUTxxIn0/76drLaiR/q75JjcBOOktds7LrUQlyFCPNbuYdDKhfqr3o/s9bm4wSlbVZJCLh+09VX8iQeLpgwu/aoDS1fMZhERZD0rS7+LwyXPzpsdSP/Du/9MR/v9Gksp7gK6lpZFxJy+5NID0euE5IoDU9v16ROiWgV+zM+ea4gone5j+NW1Wu24HxQpY9oyfXGRCdDbOyuZs6qFkfara8VaJC4f+Jg5HCllbgHOPVD14nMpfX+NsNig9/foBJOXUessfXkq+jCGHfGjq2G8ZABGlOXbr9ymo7fxZ10M3QFTq9/eyDL4AtPV6G73Jct5vo4b9VVcxNIoL8OUx/WJ0GbqQf2IGv85sOMEHeJCGWcICX2AmTu/+qvJpnwHO+AjcKqyCZMZIbNmPwmvFRfTcHrlHIWYjXV5KX5FmftH86rOsfY7W3HqjbpDrUJ3nfdeVG3/51iTamS5Bk0zN94cx3c6MlMW53w6hnXxX7HLNoZgavHD1f/Jv+cfJ96FHdf/bucedxxSAxtGoNZL7Hgt1qZwDwIMspXrfpLdd0WupOVLMLajJJZq6UFY7xQYxQce0Zzt0qyz0F6+EePaE+7BNnVdGlt/oxKrW5iJtJaQ3PmwP3y2Mc39hb7QF3/ch33x4DYeOLGspZna+8BvWdVG9CGZmM7zHDZ2S5HBccy95obbi9JyBl9W7YSnJXrRap11bPJWvNfu4qp4GKYb7UOoBkbC+qM1RL7XehiUW5WXGlnIcIzKH9bHVE146KBmRe/rt2F2xlI9UNt2rxajZRuJ6l4yFJYMO30nYtKQ4nspYXltZVtK3Ad3iAY+GnNcO321oyj2UqY+wlk9j6Mar0mqUBpaifY7kSdJaIjLp9LCxD0grAiQnWDnvmDsZ7QZBoo8DSvEC72eHivuBajKy9DW4QDCf1P7G/kotH4nDOJFYZ4kqwd6x2yit+NQFNPeGgBbfUQq251nMVYOAGtO7Vjr40i0B0e5JSNIjmFvDkD3O5icPaGJu1oawnTJLKq87PL7zywCDfdC9Z25Ql9jzfbAoh08FLf4aab14rMZnLj4dEWdbLEUQ/ws75xiY81lkNf237IkjMRfy7z/+9CptRjbBgEQ8lBsZ51eEBoSWSikrm1z1JYqM3dI3PVEwK+7CD27zJZZ2lk8uKSqEbktcYnIVg1IeDJC3xCSY0Ct+D/Dh58CeXaPm1XOEwhdKoQMUyix0m87FpGjZESazORrUXc1EoP8R8VzZJvnLxU+2HO7T7yJDmtcsqmHdQFTSprzKhy7lhK/g8/0FDd3qvWTW2yaS+aMUl/NEs9Q0U5vrlfFh52LlAClRohK5n6cLs1e+3HpIWaTvzKPAkU2SWhEeopqOqxylqBy6T1aPCSlxerrAWDovfiekIFbgQtD1JyfDxLWjIlOpqgcD8iwSz1uqKXbRO7Pt1MN4GCcWHb3yxS2Psp85CKtzrN+8+OouxxyJfP+lgyTWfhkN+0gHgB4xfeqDJUNLr0mzvYAMem/JOZhq7aFKH7Qf1k4Ooah4Oz48rMckcCBvjn6ppxWOY30qb7criJTlW2Mg5X5i1QM0yuDlq4/aVTtE/VnqKBUl66kHpzyLhap0X/jBvXg2m1KpoL21i457UwiWr+TUu8xnOcJn0t8q+EnXeFXGVvbcIg+lLW8tb9JjeyNZDJzPITHMd8jtticl2ly+Dcwo1ez3g+gjphr+QMvD1fzJdVxHVJCpGMizSBg1GMdVpd+KHWsjvWKyS/SbKytbXNIytfTTCwnyWwO7bTdbvCTl5kI4JpUzS3npRkrK+FouNShXBILsix5nviEeAEOgqwS7kiSC9SvKmMP9UkKSbsHdtF31IX23THIjDWQxU7mIsOuOTvOZtkN0J3fpXYkIgkUO9jjkGWZElo+loub/zOrIO2TIG5m6YvMtmNFKaSPH2ReMMcQHYhoEAQfaPcdldf+YKBUVk12Ry5787igP9usb1uTScjbFpc7omVrBIJ5/qVrH5gNBSnOiQaRHUD7URl9IJoYKz3zQqRqHVye2T9CT63+w3BB6N0Ijl1xDf0sb2zuycYmqxsxpXmHUJd3avBfjBLYG8WWKRnD1kau6lBO/cXMao6MMLLNCN/HFzw23LCoLV/a1PHTRrR7W9Rmv059+cIPh9oQGOSy3gsD3/op/GBBbgnhn0fWHBcM/txCDeEwe8DknmE+4k86A6EVqfr792l4hOUdF3rQVt7nPyczRZjnZCp01mCVQ8DPRlm8fsnNp9DbGSiKPU4v4SBtxl1ZpdI4q6BxQMpwlMHV18MJ/BeIHcoDqsjt++5McCFsfHeNJXlOImTLJUfwifdZ9sBWgk7bnCeo88SvuBmRGN91xh2U1KbpADOEtTXwpi6TwS/0jUeNrR9Notsvs3Rwl4tnY6QTUBOLFe7DXQ2b92/M3pcBhO4hhHbBQye4Ui51iw92G4UYXYxE4zTcCdt32DqS256l7ntftrkGWC7y7K3u5Oq+1eFVsSrGLArVwetsHY5t69AoS2lsTk18Ja3t9M5tY2k0ReZrq+PTjb303HLNZvQUOq1Zzq7sud5JWz7r/+CiGkSKSARPnGYuikxsV+Ocgh53k0n5de3w9Xfu+p9iU+mhaqJA6Hn6aCV38b21AR5KPKhr+taKj8eQOiuuY8Gtayro8a0JRkBfmmYDT4lVmEGco4a9g1gCU2J3BSgV5MX2WolXdx2TcaL8Jqy5j4xguKFHkB/206iGessVI1YBoWG2AzW4DnJulVHil14zGR+MOU6lER+p3lkBBpjDfHQVjdQ0y2/Ti8ElsWdmCFtjZpHUwPAYHproG3CJG/dPzlquWiQ3vVz0jVqa52k3eNC6yxzzyPJFJWQS1tnmXdcnCuV7KbvNbHqTA70zSt2e7ZgMhXyezJd6g8PpAWENmvz08hTeET3U3vPpr0yU75guym0zdIvfIEr5WfQFt6bMNFlKC0IJ2lFod5h6jxsdZViWxUfHXfULIYma2BzPFOM6KZ64dKgKfjDbNo6+1+PSmxIXDF7C6PeY1LM5rniDEpEDLvAxxufIoLZVGy6yN6M3Ljf3qhKb9aEwPXcJsWM01ba57REvrJ5LovfZ9mb7q1alyx0J0W37k3XbIXchZxkIxsj7Rfy9Zs0akv/VeWbn+sDidUQn5rwqzk7PHvEfKdqifZO8rK6x+1fwut1jfVz6VKUwin7LNasTOmvyKue1QSQ+s2D+jVgVtUmrPQ9SSEV9KjQs3KM3VSBeKEANXbZKGJOvBJ6G6iQDhd08a9EzS2dY24ZkVpL0q4QmNwtQ26UkH08GDISHNmN5wE7sXS4u/OXQvs+BcGhkeoK70+qSLvzgFI4fWcmFYGfjCXItQumezFWcLJbbamzCKg02X/o+N7NH7vP8uLxb9y1yxqzRv51stpmtX67cy6wvxbkZsmHla1ZdDtKbH3K3Nqat4+txaI0v7RNtl5b1uiBgsLDqdm2x0rurqRFuQCHvtzqsZ7uKDBrMDXR4ZoXxlLjGkFY8iUbDEBP6SRj6Du8bV6FSf9D92eGljReSYF0fZLA2IGyxpnHP9hHrODFm3+d0I1yFW6VldLWpW+Uri4AZFVFyWzhP3dnj+UNl0tuFsZ7qzWQXj95Gea1gsHAnf5DMi/NzqGiCavKs3rm7Kd6kBqPb5uMeAOiv62FFj4nKO1Gvhvb/+/tNrhRy/bb5XvT/Lbb3q6d39QLkOXP+/7bTsvF+rXFnVWxuScsT7xFjWEIHhjhABx9XG2KPO0k7F/PVCs5hlPTaiawEY2fXIPBmL4+sdaMsEF8b3xAbx/0G26Mmc3ZankGTNMgrpwisNVJWt5rSKhtqAaa3T946xb3CqIyouG9AK3t1djm4Sc52+9rN4TICH6si9vKVa8vFmvc/FBQFauUNDvvN0SEGx4rt70Kpz7qFoAfTd1MTQuxGiuLTHe5ceKYfWlQ8+XDiuKOhob8AvmfSWJMywQ5HAH1TuSzn9yEMkZaw2YFABumDEZCa2eqp7z8qnyjn5MIfdcjGe2AuKweZ1c09B5iUBwzm7G3rrHdVSJF3M5gF671BJzdS6hTjGk/KeSs60v984mvWkSktFiTx+XYXGByf0Jbam43XzsnSfj9ABBWtvvQf703fS1XSNdvS8kjjKXzPSKfv1eaD4xLkygIvpsib+GcJLhCPUYNZhH0q63MXI1r1eavUwBhqfCIKsyuqyGNLlcU/LltCYCQ2yBhP1wJMO5XeF+3utzst5K1BpWdnpEvZyQk5YkU3F3LUzlW5rPoSWJouAL/ZO0kKRRJE34UMsj7uop1bFHOMMUt51UJrHEZEklgIkqqcyBW4Qe+2zHqtbAU7TbgXBWX6CJyGRppApNpsr1kuwS6xjzwf9aIW3eH2K4oH3X2tfrthtY6dMlDFsaPRmynsHoPoKvIUbjIig8mogd5efvAk6tmVber/7PcZP4452cLWNSIUesKufZhcsltScn7yRVve6k6fuWfIueRD7H1caZ7dyQ5fqYh3xvWLaAfyxWvHQ3XnRLPf3As7L6gHgoyceckBKJI0SL205Ww4UhXoQA9n4nHQKhnN+Vq2ONkJIKkzuUVmZxk7t0BPMpKaFaAECuxtL6ET+PWcinrtGspM4x9zBou4i5JqamQX1UsNO+fVQL2ImbY2FpAoRquZTH3F36cgJQa2vjNcqkCP0ikZzTistG9cqmn5devi5UkR2LBBVoXYCgCH4BW6BAoVXTRrz5K7Y6Zk2UnsNeffOP+fTmiSb24hA++izxpX0GBIlxmN+/3E8ChU8GlfeMzf2OPYboDxnHkI58gdswXoCBM3zNzUMdGo0Y5j0hYGMdB/RVzqr29+JgliqBIEL5Pmptl9zmznznMvDjzkvcyRqF8QbPqJZqc3Jgova4rYBKVcxJr6DAc+C4MyN2KM3Nke/iG7vCTjiXxpAABsdF+DEbXUBAbJdwfMw9ROrr9XSrlpUNQS4Mq+CTI9ay8f5jLP4pLUBkpptwqxWT0X6vehfyjRqzPSReompeU5tHe/xH/t5h8P1DIwQfZxHmVhtM/W9CwpApMFYJ99ctbx2T3qN/vrt2W34LzyWI98c+dYtLRyL9lxwRfeqqSNWheA0etoBmpMfJTE4KOvo+I23KLyJCzJVG9Gx8DZ4bApWtGZkQIUM18VoyU+ACA1DCgLjOaK41ljJRDVhk8/+mln1SdcH/QzWykWl/5hAGVlo5nX5cmX09O85l9t9PSh2j/dEWKZU9Cb0jZv0nCOn2KAZtaiAKreZTEULWKvhuXp2jtE1CDN2xyA4kkDnY38GO7fdATynQ3E1adxzlyTbIaocPih+vlBf9fycf/VfaWWS0ASyTNYsbhG01dqRcY1S5mY187PDIuWye3jUmZPvvp22WuCiLaFdmdNCC2o23cWnppzSnb88U6LvgI4KF6oNTV9xn801D9uuKjpYBb/hYiCGB3bzN+CMNjWn1WutjJpv5rVRmrA078p0LXOXTCVBXOMjFbK0sn1HwshUOemKJT87DY0ZYfFgeVg+/WIB90AAZjwuNRkAbClPeS9lj8OY2pqgJ+k6Jaj0ommzHuFd7uDI1nhBWuGWKbEGhS5LvNUHaOkRLTjcqz+Hv2/vueo8GrNs8Z+dikqXZA89YQjbFAFtsYYOxUlhPWTD663XUSYo1osqQRyrkl4VjUjU1EGTUxyayfqYEjqSOD2Jht3SabpB3FLPCtOJhjdX5/6cfoLDpKtQ9TkUyVEomu0yJVl2mTil3MgNS4kmoROdkU1Q086tGw/1iC8WRWWB3kkvY3rL8iogMQHuYLnDJnv84UdazepfbWXEKWolijnoQK1WGh/yx++rJpOIdcPE+U5umII1w8x0oW8foare0cm5mGl8z+qHI+CAkg7Zd9lk00J+rlSWKezB7mg1Uyh7K/ZJ069AH9M830Y14W7mY+jibY1Bgh1JQ/jIaDb6LiWX4dsU7VRxXYrZm4XJ3xnt9X5aRRNoftxnamI2sajvULiysiqspGUkfm1BdsLn+1CzKWS/NaeJWkSaqI8m/9daprOdFfazwJlgNZBKTP1w81XHMsHaGWccAqLz5aPWLpdm+sfr1i1pWwVhGnzKZxdVh+IEIndViuXvDd0ovlOa+NTYbLrarLNRsVqM42gToEkq3pJszesKPo5nOewqSihhCPX4OivuTY6bDBk4WOlVEGXcUXVux0CAxrIzyBTPLh7LsDJeDltS/4bq07rKtd2zY4+CEnp4p2uJxTPKA5gxGxuAQqXHWswVgeyllx1Gv8ujxZNr476p3ThFKionNvfR8Q9JosVYs1KAgHwZijjfXaceRQG48kJ4A13UgemMUosWksCF+15ZAaJp/GoIsb5f4odEmmZdUVF0DV8uixU+XubpavY6Qbye5B53PKv6wK8JuE6texdZm547JCLTTKJ2SBjUuOK27FXXQIOFz6vOhUm7/jcyA6bNfL4Dhtdolg3sSNOdqN/cbMYURol/hM5uKOOjc5oZVLgjDqgWjh3B/j+HqeZziql7yeOiBXKzM9+qIWXH2xpN4EQgvPKB4HjTPAtnogRqIKyKdNdJdVw0TUoZ2HISivmNkVOUf7106vaAvOalmefoYNJp+Tt7U/TFTXL/Ujw0sI5qVD/ael9/Xfy/pbByjsVgRc1WMMKqMa7mA+C6lSFhrDOhQEO9A62fmVdt5gLkM9r/yEAThl2v2qfQdf2Lozzosvg6p8uUDWrcDLt11CYcGU/zDoYFLSejNyWIjy/EKm0SOUaT2i/EhP9ejQLK3aOL/ClnLF9NyGzSUkfTiVAqQX8RUnzcsbi/V1ARJVLZLl3xbNfEcIF3kye8x66i63CKIbLG+qM0wd0kh13IxEim+BxsUG9xi0WmW1xTB07rjb8V6DiZFxWJ06Po7YpXF3YKDlStrH61VULeqLZ8yfb+nqtBj355S64h3blQWSqdTnWr3egLFl+jDCTc2NMftzSdjRo1Z67W++g+cYrf/IBermAk0wsSp9ZliFfkyIhBnaSl0S9WnVyfJtgFvj9TAxbpVXkSjTBEC6Lks3yELnSl48D5YHpNduCAGP0O4UZ5SPoC8/kWMKpu2WCvnREZS0hkhcvLSpzKDkM+4tivX5UUNxk0kENXW9jyR1NWrSIAINI8nZZxe1t7pLOP6GAo19SGJhI+n5b5flT8tji24+ysmYtcFRfuG7VRpAO172omtlIXumqT63lnIuU6wKrhomecxlqOvDu9X2yZQ0i6VEN7qcEk/ST/YqFbP0jmwl1O5lEhmwoXOAaZIIGCKeJVwCFkiTi1cQy8NcNFlgArLrhVxf1toyiMpOujhv3W3OnQY1iaC2VgEhL2IdFimCxQfYBMEOzcoY41d3ErFGF0zz2KWE1wf1Wpw8ARDiP+tQZ1amxX2A46yNpDuOj/byJ8cHLXIQ6bIVdS8RIb6ZewdxgED4aBmQGvfdy0VeIzVEF/UNkHE6jtzEsHsuQmml2NJ44DiwWeUOHVo3HvwB3WBXN50+Qoh4nWAVvHIncCzs2VLsqBTysgFQT6ToB3MnPzctbI4JFJG4fuynn9l8S/RnvW9UXo9a42MzG5er0FH63aoePLmjp+Pi1ZUoL3BHxKofJx75i8unKuuAmBUGfP+1sxPSXWSwzRVceOs/Jhu9101/C60mVZpiv4O6Kd6NrN0Mh5y5bM2vt6QYr9UB94dlhtY1MS4e0Gqo9qHcSMmivU7t+HM1B4J17WqlASTpSTUWdSoaJxsGKfvRq/yjdTz18DlVRNbeHotHJLrtLGNdUH7p60tL/8gmoaknfxtmmYMGHBnnz9VyPl/ZVZI6L8RV+shp1sStKw9xlzRl3MTMXWv7npfxcXK97vWanl5U+zSZ812YRLvgRFqHSPgKO+5YTkM5B0HqFxtijPOqxzHejhJAVinAqR2rHRZO0t86ZXnfixOUmvwRB2wuPSErmvJmiC6advZtmhkuO7ABIrmXOcTNPzB0ffVhH6sCspdCty6YBF1/4uAz1lK9ZQBNxAYe4JNqT96GkH73CG6S6ZMZAuSExDcQUB22PdHnSRsKycK/II8yEJGkHaRuBO+zl+2Z7epFinunu5tpbB9ZjY4QPqzf6hSspjK6+qQcfJoPDOa75uwDDJt1imE2gYtzmWKSYZkOGRFwPcj2CuDJkPr14hfpTPjAXSZKu7uRPRJpv9Y33njc8ZgVbVNFg9QRjT2nRPmpg8VZIpVsMrqfNIXubqipwXWEuoM/ix2OArYpvYdbC431hMHnC34tWFWQ3Oqc4h6RLVwHI3gh0djpayV6jIKEgntoNDI8eYAG2qr1A+cO6epGzqVxxEtjcW/qKhKgeOcKi65G7YF36IEbmzBneHXwOrUfYs8wuMO368iVm621GcMLlatoFrb0EAOq1I9BNVfm6tZZeauIUHHk7YzVVPMskyoPTO/QYAhdqowK0s7lZ+x1Qi/amqjy3bb5tvIJdUcXCG7EzTC9bBjE1xA5rbHXCPR3WzbbMQzR82i5420AnRhync24jkuCstg24OojwLKtkHGjBHQnTNrADDfdP8ixZw7M4fx6ZUonXZcLzhOWwS5C5RGOh51cdDqU+On/lFUswa1+bKbTzYjKcROkZ5qk5nohNmZrGjwmT6AmzsZj9BaxHEoHm6PhOrubpEl2unuhUy2LODN6oB/dRLlRjQFmJEFAfUmMj3kkSY87OXN0gl7+Um6kepIcx6qbhcj97u7FV4ioByKHmyetPJfZ9VJ5mrpct9mTgKJXr1Sd4R5kPIpU6jtKuCJBioGGPXzpxi0+/HWvv1JWJmI1dfWPEDTnb/OCleAtiHML+PO+UlWuYG3f0u/m8IWCwq0i3o7wLiUjwEK8tbGMk26Z0Absxy6zXKhcf1ZPE9aVAOzAbo3VskoNywp0mvw6QrjM1q0ufBtpI7HkjsMJUNRwddYoqNMdhixcl5RUUnNi3nonSYKSfmLdpTw51zRTiu+FBqhvbeT75ohPyqzD9FEVYD3WNXLWLAIxTxh6Z2r4W2+wr4U7zEprdp2wBHtEHs2KQv1AsMJAMgMIG5tY8PwSCzl5d2FCmvTbKblfoi/z1PCPikuByDxZOK6kVoyrY9cFoqyjVhbtcIXhlSbJu3RgBVxQ50s+g/Vpm4ByESJoEkI5ksecoidURoHBE5hF0B+Bk1dE3N5H8nx6gSfY31vKuirlOkXMEeWMO/PWV1D3+upmKsWaWQmWa8+OfzuzQs/2vny+Hlk9NAdKrjmuHko3oyLYc8sckUDweifaoTkO6DDsd2tvrLu1B5kaDpFRXmKKFjUdLzKPITDsbYtzcxrQJWAiIrzl6yTUYuNYe21rssGsxNCpdH02iId/a5WOlMYcC005VpjUeCsvVGrAUVLqVIY2spmqEvHTZdSodsadUCjQXpB3moU0HCxc6u1qWXj3yfae8akd771Eus2itARhFCeSrd7KbPuVyQr8W4pmJklcgpd/vNOv5l9sBFMusUA8rlNo/PUo2i0JPtmOHpLZCZKXBfGvfcReGkkCGY24pKFqQrNJKSHvj5OjQZNu9kobsVkSydfjFhoVGyKQ/GSkliugU3yO6mMTsRdM+uuaCQPvaK0CaC9w8FP2Sq+iNysXXR/7izqpa/QngpbKWb+w/hhe75NVyWMECSK+lGYH3041ziq6vANNCmp/t04V5nXhZmvjDb42rgkTXxlk/BIYXQ1DPXvsMjvFyw7c2F+k/RO+wktqibzK4AErxwzZfccZLwJz2u5wCCqwp80r0w/R6Reu9E4Dva82TQZnp7np0zc4GnaWZyyL5ETkGEXbkHQuTDEEhkbikHrXd6iraltzmGe7l+51kPieDox4UACzHurWebBTPk754RuUCF1zp4OtL1w80+ezMUR/epYAmpNKjtSZac8RLAxMAw3CtpdlhjAycS4zOUAVFWG0KtYmg4F62muAonyGtGNAGfvWCej7IGwEtbQ/bUY1920Xz1GRiA5NApYByJeYZqYaAredooyna2dZ4lrznahNJxOKEAOzfA7E2mvKLlbFN4e1+lDQZl5T52t3CRt0g8ulMaJXQw2r4FUjXHreBwTB+QHJepAjKztFTiEJtN9xOKPmyws9Ibh07b0QKzyvM69w2Qokdpw6VMPpL8vBvK2tFtzS7uRu7JLXY7Rz/MeFlUpziDZUSIJIe+TIoIE8WI1q2WKtAV9z3a6DyrVp/fXVk6caQY0wCTw8U/cEL+iOQlOEkjDm8YdrJKF8vkx+Mlr9xFd1lfBJ3qco2zaZ0s7A2Qzc5gexLqUw0v0jiDMsbN5JZ8VlJoSpM02xlEwOMvrMjgP2qEYX10IuVAL2HYePDLjE9TEH2EXK7Jk7zsxkbbw8mnrjMhfBMYWIfRaZsl7PKxHbe3ySvxdRC0uHeTaYpW8LWla7FErpYGXLNijRQeDp3fkbp0AUaN+9SqBGmf5r/Ln12XNmgOvWM9EplBj7dGRcxLOiWyG8V9YYNbXToUQfkOg4cVAeR4eDs1K39jUMRRzaWwz1ylAeKv4dCpmkW9iizk83cZ0ndBQ9EO/O9oWBOqFy1PwPbwhDoC2YhtLq48GLhjNWtTb90f2q28V8sG5egVgGKM8ZEWAqs8pIUuhjIC78ebDlvTaHZHeW9u2hlmWbwARS983E+V0iehT42nz041yX6TKsT5hrEJgtcgCBKDfiimhhYaIx2Naa8rTXBmYYKNTyTF9Ta5/Hg5BUT+OG4AwlaIWwTAnHoifG+aGLcx1SqM/JENGc7TFk5cItNf/Gk1KwkvjkBrLsIpJi4T3BYrIF+V5vQkdb/WEkpNlj5OgZHqvbxM8DgSMbLxihzr0COnhAj8DDRJNwW7RqZz6LInv14AJS9RqOCgd9FD9pIhdixaPqe+tAYoOSvopd6CLstVNSlqIYjsazsvcDe2BGK1SAfXX8xyITZ9LfFBeV8ZCzIwcuSQVCH+u2S3tIBteVk57iowL3p2PaIlAa+TNqZBA4X7doNbcldHzII/EPSSialchyG52i2kSHXSOOBAvzEYf8JNTaJBazZpfkB3Wgn6iQ5/xLVy/tpGzx/jgAcjQWUJdD63N2PuHz/dtMEWF7ZZV/U8cjrHPO1AI8hXSXla0l0tQaLBdFs7u+pSd19ODpZyIvpdQfeBylihjKkwyMLub2shmCNmGo+UxBc6U6Dhpk3UGMN6qbqdfdhqAPWGgXDrkbB/zz47PXGQ6TwF4GGbWf8aLpkKHT1YsRQw/HdbgzMzX1DNDeG5S/qYDH9j6tJ52p4ggPlsCDlPSFvrd0Fq+NcoqN7b/a09h1Ki/qQbYABz87U6pdjYxE2UWZjwB4rmI5BNXKuYbmN9Z8h+tw+3wfoyjl69e1vrH9Fr8hEjttHbaA+TDx2qutXW5zKaSuqtZU6tw9QGpX/ZqG1eVOQiXrbnuLewxCTdZQtGJM30zMmJhqxzFRB0HEXnhDOtKdcTE9JOvi6UEfxHPdQOLGYRSU9Yp5Kbbbg9itEdd4aVbHoxC5ZXF/HogiTFXtGmGauBBZLJD5HKyCTJIfP1p70ZrE5UxA/P3sYRT7sNDJgqVfLJR12z+WVs9jJFUK48Wsny/GJPYOd43/Qwe4mnmBJq+QdBnASupriiwdFB3IjFdnjpEshmdZeUiASKhuvooYEqc6mlEzRFW/6Ll/amwTm8GsiiwzC+H6fUrlW/GvPLW+RyiVJv5apOExG54LrSePRBK76dLDNNRwW8NayUvH2iICl7wdfVJSRCDA2rXmrIhA7OS9IGC/6ob4RyqM4QgtHpAP56nI5InM7/NXClDjRs9CFfqSFKvgsH3gwZataW3/Ha88kuZO3hWyLzsU0TqiJwELoNPHhzYtD9u4dKVStVTJpE7/PMjzL/7l5RnVNBam4ro8DT1vUaZVOogIdP1zAmOGcSv6SQb+zd6rZZXeFPbRHrCplHM0WimdRPuVi+usGL4KbUugCkYKQKGbpyISERZD/OrF6yGLgZt7GQnTMiTCtC6sRVvpHeJAH/ww33GLdDA2bn+2ucRAQaHO8OvfKkVl4Id7G8n4HCImAxfIyfjUe7Os3gals34/s2h6d+k+f5n+tXzo1CaB3o3NTLt7W5JldWxvDDom+YmZq5N4viHn8aGn3fTkQHUO0mW/vWSVIZ1FRPSzfu1ji0+r9MPDvYP8FXfJ175OiztcUqr9NQoiXsOKxdbbBPE+vvnRKgl7ccDdN1E2ovP0mrUYT9Js9D/kWMKIx/T3ZGVXcsU3ugL8Wv1S7H5QzrSypbFBnVK4jyFtw2dcrEyci80FveZaxAIPWsGweFJZ/fEwZXNda6vkKtQdQ9m1TM+lTMebpilQ9vZHUjYTG2IxOT1M2Y7r0tXDlE10nV/9Dco2tB50hxROcWmdKZTEMs7VlkPgQ7j1X17HoU6+ZME1zkB21G25HL7nUngVmrZMmCMHalA+Qp9JhorQyl7iUDpJ2RXWfqmd/YrzssXwrjIshnSy2VBX7vBOZgPH9sWQ3e6GSEl3XKb145Rbe/ZESk+PbOZ1W4Q4J9+IZuvaz/y7yyf2SWRsG79EsqlLMRPUnUQGj5+HGTOaTWTY6yTZoX3bJPeMrER/m5ENyXpxuznI4QPl6HYXoo+LvDH+XNQ5TnJvd24gsIlS0mdJMq+/AQSQgwmM4HWCqv70wnvzLrVUfQPaExDw53OyJPgKKerkOwq9qqZaHlbmJsx9JOO7GoT7cDjle+1ReoeeBGBbUrlZo8lZB4sefuEW95ZLUjA3fQcJkZ9ur8J1iunv1Td3UvDC9YF20/A1P8OVjUkG7fmlVONJzd1glaoVz9BBVqVVFxu5daobH6uFmwyh+N2xG6UY3PrDXPc3N9VBAYpKr0VTPz04Nwac25tgqpVlFEzHyutza3wp9MAusDO0fsk29ta+Y8pFL2i9Jl75HbteoAFtPjnbP8n68vVVcwv4oE3vgeHf2yc5VW2Sla7tLH+tN5/cBGtuTWDicL0A5yPKwJqTvOfF4+gg2ITqW9ZFaPA03JIhcq2nBNp1c+qQTSjtPETEBCDAe4TXZR9cmZObhY2Bk0PfVRTL0O1D6En8xr8zZEgrNdp72RhVGHsNTexpcRIeUheNJKe5F7Roifa9CuRj8kCEc9zCroNlDVWwtab/uxDiwkU98vF7gHg8ZQqzbCAehx4ULfN9IHIzbg5hwdf9S7K9PK90xiP5k5/NhDAj8XdS2jHiIPb0UDRv+4dHfQCt7kNQHeaKhdfKMw6uJxEYej+ogIjXUNuA/rVtEHxDhOCTgz+W3v2538RU1XyfquV1FZw0iNERLVkWSR0HxPwqCXJyTLaQ9iiBolIOH4/NGygawGNN0AYdItrfrrbDWAj0tbk5A5I1jcwGgGHGCdcRylRsOTeoOvyij4f2eJcmtL/NFsFNI1cH/P+PpVoSLe4Pq75larXse7NJqTi7lGzG2xkYm8hTonCtT9rc1QlfstaGTDltpCLVXm8SThEMA2NMCWLYkCQrdTxsrj6lAG6cxQmflmo/VbHEY7pZkm66FeYByuk6u+2N8RTJzyk7UY4HMmXON5lixnea0M/xoyG4bBl5z29vn2uYq3eGkL2uKJS8Q6YkJhBwdS8i0KWWJvHgwVvQ0R3mD3rE8zwF9X13CiQ/J7XCAQEeOXHzCljMRD5GWsGxVryi9F0b0Jr7L9GyD8CU+0PpLSs10qQbJ5lk2dz70UHHZeshShf+nmeSxOt4GdLVdy6qUEcJx+Mrzet+PdI06b06IRoyrGiN7u+BVoUcdKO5jVeC+6sLIylw/47cEtFesCxesp0xktXndPMPn9kW5asWmcIQkwtKyFw7nXw5FDe5Ql4PxvhEyZyRCtSWgWtNt0cq/71QLr/n2Wcu19NL7qNKkNCgK7g/ZV+i00Uki+nMNdJ4gtMfk+/GMdo4fUaH0p1T//dF62xmJ1I/+++oL39bdZs0P29rweyebr56VkfKFs4MYUSDruJIQOFk+9Unjc6ktE7T987VS+sgkxneMqvb+H4RwJPO1QEycUMEYSLtvfpxg8yyU4tba7HyAZWi1a1BfytiKFe8/9718bhN39O/bqR3oGwDczi6wMjH3loFgw7eZUB81+erG5tugwanmtCABHaIggt+lYcvBBs7SaXWxppG+nUH3BtKR3P2Kc9S/1xVH6aqsMXmtfMR6gmPhwMNyYkdwNx4mB7eKzk97lR862nqy2na5zDJWUqysUo9uPcLU9qaRC2CW+ye7mDR2H3aLuzWfedopIbQNHdhKkGm58/s7blYqgD5Se+4HjKcdUA7fluvpDVEuu6Ltp4TzVdbyP2n+Cx2uH6SQ5o8rUm8wHQX6QdHoSKVyMHxO16RwYe1dVN6fnaqGoYwFEHBhQO76cxBEroJ100LpukKP/tzKpx2kx0IJ9OoMn29xyZ0pIU/RJKYFPl0NeGU5LlYoamlwa8qukHpdcS9pspdH1tE6c7HPCw6GaK+FDdXwBc9h4qS4Qi6bJFdzT4wtUDhHHB4J/HtEJMxdT6s7N8Z1+s2Pf+L5FY1bRf8oG1IrffT6pZpFtSUxDHcJhm+MbbfLZYcEyyKDvRc3KgePYsvH1sTpAVyFeQePWdAGqDTqdwOmaZccFKYW024/Hbu88ykxyPX7YBYyCSrBRj15NK7XI24JegoZy8Z8lFqWMq2aDjWr1XJOb8qGFTOaHzF7Au9HOV5giT+QjxQ1gdYkTKA8gu6sEnKQkQvKMwUbvvVo8oljvPZ6zIGPCpdFl5IFvJSPB8h8rEX7rDOyqWU0vzxo43M0ygCxhlK9TWsOQE4hMPPcgBSs/0sDeMeXDsBzFYSNXCLaYVQe8GIKF896N8LdaAYoFc/P7OGfoZOeRHlFh4K/FG2ZVkeLFwlQV6Q9vXBZeaMorcC2L4u4mlIGUU71OSKEDtXgr8peOmFLZmodKbv5nWV7OwTYRdfOX18V6Jdc5wJhJsrgSbxlVnGIXJg86TrXscmlOHiYUHJHzHw+rDjyv2vzpZEqdHHld//nSC/F+VbQd5dPNbMc+HlS4sKVI+hz9Bma8PV8MZMREL2RCG2FDN13xGPJ4ymJfPnGvS5vZ3speerlRjP8+BS+U/CljPUkewdB9DZeVufM7Ir3N4zYhYrCt8+LuJrKZZWhblWUbYFtK7G1r0csXSV4mHL6dQO3yAriy7z9ngKD1QCCEYuy/122uUM5MZG2NMVumMOYwf0hHvvSJcVvqnfZDdCTD9OxXuciwUul5/ryuAxDrfs/Y9zK5uXqgqKe5vdbf/7alVjQpZbbJjKo1pMdKET/jMdZ9ZrPB8nInBHEY6OLwWgvPYRAOw4X16Buqolw+etCFEDBE7c7yK7++Q2E39RmSzMHTBV9a2Z6QDludGeE1koXDLMDsODNweK7D7XHrXmxaNq7DtqfTCh5t9fyOODjV++Rm9jsk9WNAugYaOjYMEvF1n3Pdv9uEp4nCM1QkhlNojoAFWzsaCYG9FOuFLr3+N3g/CPTXBkjoxAt59J3AZ7AE8HPrXKSQIQs7A0AibRK8BZbEzrJJUwxzNLfy7KEduVlzWU7cR9MKgi3pY4BFSUFKhx5dmdByToNzgysCqXr67uFm6PtqGVNbfrirDJQa3whg7tHOhIz6d+9f4H5jc52GV3llaIDHnxuwhbStaWTRXH6RiXXpbTOsN9tvNk08ZmFzCp8i6bnHswYAPadwGojRgslEVYaSV2arFQfgTmtzabJqsLdP/pcFZVdpbz4N55nLku6c5XeyrBF5GtXhyNKFJffqM7VVK9WcR0lMaxWwD/vdIGiOkph0e2ffbav9oB4xQU2XE7hkBy8Bqc6619YQxvTac0daWdugPe7q5T+k1+1gISXI07SYGs0Pj10EtbMb3cXZFCfzLJ+5Ak50nVuLoY3qiUC2LHvcwf5lK9RxWawVgXy7Yz04kvm+9vhosihICcD6C9UC17xYBZx253fltNlVobo7TKupeTU+xwCDu2ObAh6chPF7uZ9WDf+vT6vLxPI6GVxJV7yXPDNPWCpJZwV52ygSTSLfhq0y3jrrMUlHLySxiXimCFsBwqyn4u+qo2UWj1hZz66A5dXZVcWI8GhaEr+XOwJI/HhYw499/kz2k02VlmT/QFYjXdxSLKBz+nzMiq5RKczLVcpryD87Sz4kRfE1J8PJRvJ+yBpAyjkfHlDQgqONFHd9BZN8QePHlCi1rQ4Xp5N9IDcvrBnz+423tvWEJIAfecT19S9iiCtKSv5MXo+Izakd9TaVgjQt4tOO5BtSVAJi5X/K4kj4m6aVy5UJHL5rjwaNfV3SG9VllvUdUtbEbGWioFSWO/TUsLPICt14r01c5NmrB0idvpNrtMdTKBPHHO1yu0EtYy2osh3SctatnR2LNdxGAvmZAYyCQg62GtcD+e7X5DqOMPn+8Fv7+m+vQ+pXJdhmNK2VJiW07I8YzSSusjo8vXCivQkqLeNhuzng7VQ9OX+dWW9kBzHiZUOFhOST3CoRo+Vl+d9qL4IMPP7bTV/sJVsPs8KG4AJUZZnfbnzbRMwHeQCPGeUM8e6javDQrFbRmmJmxZaD183qp0zolgXq39yiKRicnaqcqXuGwatmPfsomyYNumFeGui9TIfXlEHfQJ9L/cIH+enLX7k4Ouk6eqOF1qle2e08Ucb93apg8M2siHo/Gpb2XfRzBFNkEsuQ608DbdYMLpeVm2Eb+yz8Y8TLDcBq2Y5Mq9hbOpgFCdElvfqQtUEFxg0yd/L1oQ/7ie1/1nRs8BAFkJ98v09TfLMLhxd4zDImQ7Skjq6GXvMkjNns1FInG2ihv3FSPyAxerdGGpNVS+b6XlIDaQE4Ej1GZeQYl+QSAwXQtLzJgrQWOH3TUWdttTN8PuwNYXgRqDWlWb6lm3t6bgpTn1td9sO3BHZyX1YDdnAEPVnsC72IjxzWkBGEWwy0neJmOqXHL1rYjxI7NdfP2RT7YHhZQo+2zCWDfazXuiavLKuF4z1bf39dSGZW05mIkr8onYHV0Q4u6/570l/hO6Jl60/izJc15wtIsg2+PGETFVtUwzMxRIBx5HhqkwzXEzEoW7dE1obDcb1NcV6c+0rU3s3IDhne0pGZu5IjhKJehlmBlsU+6r70RJhj3bIx8ql7WnQWGoKJWtcPEWi3R+o3NQD9c0Miaxm3618j+dBjl4Aczdnzj6+563bjalg57vnuj3sXPbFdIV/2lDdN+YLGLQdnPO/t3GqKnvspnizameIo/cuEdf+afLRbuGeZCfwzkbGMz5FLbQDMUQT6EycrKBNQZM6rI6C8NazXBJjSYO+OeaZ7TDkZzYxWlzE0eclEjZRT3IeQIUcS/SmQOm/CDPeNlwGtdBTg+wdpkQD7mM50EOx19rQoIWZNh9MIg8urjZ8qKjD/w8nBP5xOdBDt4H0u9hz6iYfl7xQqWEAJEoR3m7S584rwkTq32rEiLlGOT/0dUXJoi3NijSjIkE7pmUAD2TGnPPpAXqmfTIaxmPkdYy+sOaCp4SsaqyBmQFEBUMWys/HHLFocLmy02gMyQ8Tgqumye7FSVzH7+mhOnreFYtIhs04B0BxuAdp3y7upiNwWNAdQXfyOkAvIFqWzWP573bIVs8X93TPi++ynyx5sNjyxY2jvl9eHzi8H29UQjd36D9fMdvC1u4LX7MRXQyC1x75OLsrsv8xLsTQ8QWhak8qsrQGX3pJ33fQsGYtZcscTIMOXIJFvUAJBwwOm9Dtuzdj5Wp3L1TaO8/8fYYqpIqsaO9nSWpx+MpNba7fpa8bvKcu1UqFhVbC44Yld9QpNUDo2vh4SFcmo5BZqXRf9875Ed5dUBUwcOCXwD4RiJE5uFmy6DvkJD5Mp0td8vWy7Nk6F7Dwup04UpsX6yofd8/+XAmjgvbAg0nn7tq8xVzlOvmYaPLYIaE5H8aq8aOVJnYVPQE03c/OEB0Jj/lMbMxqD8g09vuiniMjf2k5l8J3HQRHlHVjjN2flo1OC5wL4lGPqf8NTzA0svX0z/mZKTlz7J17fv0viz99l/Jlm1F87Qge9DphIqIs1zaqqRKsRuLzsDQf3vMBMoBSN+N901EWCT4A0I22R1ejKFvxY7LNBe3ybrQfYSbFfoTdE4aQzktpGpzfAi2FW37baqQqa7lLCzQLHjUeRdGjL1yaBTpXtE6llyZV6L7q9TaDP55lriKkuSEh7J01uReRcLBC88BEyDBetVJKpf63haltl7mqmDKvmJfrtpiu0rCs+CtP25hxIEneJOA4jxu4ScXZSIme2132dq3NEhbbsWJBZAKuSvfxRYKi9PTU94JguMWLyzPSArOcirnOHdoYCob/0ylB8OSsDXF7c4h/5bGIG9E2l5Jw5f9QD8uhiig2P6jf8QGN0Wzyt8+GbglZLRAo2iXTPq+fcq4b1bUsGBYh+jO1010tnHQ8u56ymO1CBZTm7yv3FRF/EvRcJT4ST/9tP4/2988YxYks5NBCG7a+8wnQfn5cQ5N/yJ8gKGuIvz0dJZEq/W7eLL7N0C2aib8PctIVeTypagO6sD4kUwI0Zu+fmu+x+spMSQM4TiaLc+n4dMAUWnp8/cytT/mzYpSoH+wdQphxPvy0Es3sHDZ+EWClMKDfkdkOy7EIg4qQv2roBQe7OGuv7AUA254cVxvTkleS19OUrB4ySUPhmyyGkJkzjhOdlmCd73wT6W1RTSyyn3QJU/yF3KZ8fZA0CQzUZIIEoe80KXgxfdalIppQlrRF8WZMfp4ezuG/yNWaKoGJG1iHSDT5GjVKQnqdFcegtFFqY+198+5IhPpSG/bW0qOTJTH86915TbDjkRv6Y3GrH56QB3SxUjXtsOVuUjKlyR35Sh8pWvEUl+SE+2i12nUjKCsHHE9XmySsbyQyGSYUUPOd8Croa0kUeCpTptpsCPgip1F0lmxkZbND5hl3fO/5tmos0zLpDLu2RmVxO29OgAXkn2xrcEUtNf+im489Hwoi2FER2TC70EWVCuYsmlefUYv68T4Ib0igNCfRVpEWfy4q7GEYQFg6aoQW3T1bX878oSe65A6FNc6RmvpHQRLaw79QwxemZH/tGxZVz+hSaPCJsVVvdTsvqeOEgbKHXUHHtCWuaabX6MrIQw/0WVcI2/RbGWz99rUmZ7wLUFDjYNzRhJrhcl12A6o6ygJ61DKEIs873JxL+3ztcWgTQavZL5at5PdTkchxf0nWUPd9eAyxg11Jp1lHvdzf0uxNJe5Hg05vq6iS7GetTlLc7MBPa3HgAl6loXsinaKr1V/ysQhNYZYeNKhfftHYpwjCfQo4YmH9dBgK9J3Q6kuuiSnIhguYGMJZq4n2pfwW6G//yfhYjttTwBCEkAmaDey6iSgKRYYTAplsJKIzIvILloOa1wcpOtBJX+KyjX/WeghoBCrzFzS5V7BRFsyESyFEgx5OMMZhc5nD4vlzKSN2GYkrHvOLA9W8mLnzPPZkPWwMp1SY4Xo5azms44I+pXQlf05toS4FpxnDRiEYC++HvFc+6m4RaOavXhPgxhZYAvJxjm9CvBubEUG749ZZ3BfuSKbnPWvLMgm77vq2Zaf3fQZ7Uud6cGTHDq7ch6E6zIsBWAMqbYrqCNCpyXMhg67hvDlHGdk424NjRu90+JZwwglqBSB9yDSzFlRJdKOtzVA5qok7jZRtb4KIfGTxKuU7aknWIV3GxBEOaogrOTL2D387vHerHAw8v2ZVqij/FzybiJvF6IE1Eriok4GKPKwPVf/cF3z02MQzSCoE8FCFia1sb1gZX4QS8kFT2wg4jDVDaHPhTh1+yt41csNZZlAtf5vNqq+6wSZcbHGnbUA0Du0v6zQG23ginAVGZMJ+6U/SWuAYOnF2W7t5WBUMnn1TKPoAwVLtrFDz587YB068IJfj2DSMfctNnNaC7+eYbTdAqJTdpOAH3TsZaBHrFC2Q35YrEE417y4LgHpdOGZvFv4+hi/SEcQ1ebYGGk158HZmkJG629/aiiR5FFlohAJkexYynfMsIiWRRVcO17bMLzXtRKLkEl2u6eIOyni3TGF8AiJreEJnmoTblewy6kWR03tPPi31U1S6+XVfOaJCNq/WPGUAC47DAdQFbzEdysLyFxb9w9MRwHZYx4RUznBR8QQjltGtAXaZjbcvK8RtjF6NcNDMXS2Z/WKkLHfflwx+YB01UjY1EKd2RyD2uBdGTlXBeeOZbIAIcFWBI84nadppUwkRaxcQ8ijC3XtmLA9MbbwpQ9zekU1Qa259uskARdI7X0JuC/QuRV9s4AHHDTemthMaYDg7uEl7FKJzg/lru7eGEddAccscFbhDyXKKKj5uAkRHinURSRmwTNJbal9dsf4Bi1EnuWt0ZmsXjTyZkWVi12juGgLRJUyxSlqaBcvXNCQ3qzkDtmvxwhhi9HxVncYv6MyXNQV4IX7U57yIfQTC0wczibzZKsd8YHaIvR5GXpKr+9fBHWBH5pC9z2lsdQT/HJCrF5xttTNu0rf691EnHqWpVLEyS3Ke1I7FMUEVMEe+kdEsARap6qxj8NuEY1su4JTb6hiRbQtrOGf3NP4IThOPs2bVcKJBbtBB4JRGQKql+7CCxWMAY9sE2OXboIFr3MWNRgJ39+MincR6Mp0CHcJYNr1Xi6byC4E5MB2uakPHlb44vNiu4YK8KmqG7cdFZNGeERf0OXwszGrHJMpQKnaeBSytVv05i06qR7eccQcR4R+sv7pVS7F33jMhmKWseyB19R9lJSGWsYL6e72lGLIFNJkrEXlVMAF2i8zShrgXKXw9AkdANGa2KeVRbBQRcS25npvm0Fa1E864qiP2P4kz5D/zyU3McVaDepmi1Mk6GQyz7+Qo2DrNxFL4I3rX1AgSEmT8c2vSuPEw47n75gxL23K0whIRMf0GShLTyFB6S3AdLtKPFL6SBMjHl4YKxpxzMGAcOT+eDDd2ByWH0Xt0zmNUVqPyB7/gh5OyZ/2w2Dfm4XTzOvCaX/LzP6IfsmJvTeA8ZrXBVzn3Q9FHCZXdmVtA2Dnj9h7/WKDAC/LAUkbIwn/doGRkrEljFAbNl8bY+0FfwETqIlCHWVPR3GYWes1bB0v4V0pl8Tn85CpUjR1jP6/i/l10e8VjehCbkMDnqVRGS48k4iP+rMIfxgHkeUeVNBHWO2LoqZpWia401pj3jGR0LHYvcucCW5D1fJglelM4HoqQstUrSvEXBC45MCxLQr0Vkn0SAofcjxbiNvZ0dcz+FCqnOi0xuKTWS8giMsA+LTxL7BGUc/9s6D6V3WNG5/fjg40h18U3GFXnKRfnplrjcPPe15wLdBoVSaiSZYY3TIXKEKFUFx7mXiuZ79nS7cUmovToiNcuWKRMQYvuyCYg/E0ASoUDiJbGMXYLAENRaTYarBQsk5vVNQR8RPEr5Mq8Ca9m3rxrNg2l2Dhs465/NKugWbe7JV1KLNdW1IYPb7SUTLp1HjJnr3kCq9wB93pZqQ3JccRN1/YOZeLndctzD5kCdIrkSI81XEB88xAr8naktkY7NToD+Cc7twRrsxG12tOIR6T0WADSmSU/QpHGNA/fd7TXuIDew/4l8rb08dIA+xz9FigClQJCaty9LU537yo02tF0CkUPgL/O1eeDRxPj7fbSg2e9ooORDHYyQhArH+uW/t7loJDM5LKoxQJrW1xTOi3N8/xhSG0stMR3iA4bYhIhDLEbL9eZIWJ+0QxsH7Nfy9IfNJb6kxEE3pg8DqE3/RNT8Rx78OzKsMc1jBgVKbowz7SuSEthtfVpy4Lghp0r6glLFc+HIUAS3AkgRcc27tjipZwnhA80awUHdB9vzi2sk1NcAiSwLtXN8YEPPsal1pZRb4Zy6ceEmoc4gKfKfRgNuVdMArIODasT4QzAm1hmM3OlrFHUfdUwwLjp7XNFH9u/UhE28fXjfWPd2NqJByMp7XtO0iaRi5LKW39IwH0T2IwItO78UCnbf6AaGHOm/fl0e1OJUe4x7VzKmY/eEH+q68V4grTS1ij02eO49rb3+oqHh96W5NRQmuZ/SBlQo3D3cbnMzx7DAyMwQRKhKKXVHq9iW7BKQREgBLh5q5oLPX0qglqCc1SC5uQm8lWGTffYu9nk6qZuB0pHpWFLtS4OqYxXud4dmokKypZRrZiImbW+ESdq5M0xChFdHzMeKudV3T73f2c2aXg4XFv6YlIgtd/dP+RJ5z5V3TGCuIZp+ulUQp/vQXnIlh4oZ9jZ8SyoiRLZTALXhoKPlOAaeSU+iWjIeDm4DfyyXdKjh5tI1GvFYY2wp8Z+nEgEsxALvgkQu0zzgek7mb2wrd8+No64gO2ADqwCFhIhL6BV+j71cQvjvGETHNFPCOYNyPcyKS0MbNVzZ0Pu9Yzw4B15xbo7ENAPgiYjAQyMBQjp77AlB54SxT+i2+qL0GPbD1kByNE56lWGE60iYSfF2IUHCLMOXUsodNYpMmuEvvAj5EAa9M7ZZQsAMbK3ic6gS0YCbL/XShlK4ZG+JD+izpWqlmJqfo/ZWCoAOuaDdPcwb0rbsRNvSddTgSBwUBvaVqtR4zMn9s7H+wovlthrZ5SgMZhtJ3MXGGzHO1zdLIiIWrhJ1F3moM7pno+c1SzpmxnLNiPFpHCkJlJyM8IVJPl4u1lt8F1lKjhJIsKmQf1FbgdbZ6e+hfBKb/2WqzapEJljFmwCPurh3gAN4KveuPe31Pnl5gi29svkPYF606aZN+71axkvonbYYA8v5fKs2PE6ZEm9e8JBJNLnTIfMkEAftBEnt7Ore09PfnGXg/eszbv489AUm0/mdxQhUpAygYEPm6mWoPsMxsB30pX25qxUI+LP5NVdKN0REPMUgEcCVcVZ3CFQ+DbPUrjEpYRGGltF5F9Vk1EzOCJBM+ABYin1Xjv5W8eezJOWkT+7ivQun9U/rpE1pnXePbHhb/jlwXe8SqZQzYJjZZILuHKsIArIRKmmgfO+bn2n4i/1o528eYtbBVUKfBCG6Zp5xD3J6MQUa2Eez+8fnwAFxFbocRVfaBviNvakY/n418dv4j1XAiPa0NQwNEvkzeCjWilx1JYdrEZV2EXVwCCQR6md9EXXGsPqvSchMLCf27gzt/rYPR2X1vSo0s1FsqUFrHX5yt/itGNfeH/4sR70bSRo2LAI3GmAm1Cz0JktYm3yS+KL2ApfxvfiDDaXcqgPtYQ347HqUzEGznknxSzZngCPKJJFolYNb1zTNe9rpZzHukefg4Iwt4Y7BJJGqj3PRdA3GIG55I9e27ZOpQ5c5ME8Z5IYZ2sXiiwfOTaMTIokV02Ike8v52mfwS/c42uzSr6TAPMEhgSx//qI5niYSf/TV6N/0rUhjfZqFzKX9i0ClF37Io9sG22QNXkBmeEkeHAxZYs2L3oEzPmxdWiRmy8M5rmHmp8QXcquvDL9qfPmo6QEdQyUvyTSTDQRz9fcN5YnCwOWxVP7defhz4PO+lNjYsir4aRFyw2T+UDVIofZFA/xqdEMH/TsJaFWHlxeUoqxr9p3Snlr/KNDGqcF0onFPpBcUO0br9SW+DDrAg6xUUM6wXdxR8us6vbL0oAEwPl8GPTWCxh7hzi9C5mvohV7eyLex/W8WyTduNxqtRPgLokk2hf55oNtg/+9ZGm6KE6Jzpj0ZObMRGGU1hZfQYQExyzmkYDQyiSm5FNUa6gWEa/wba1MkIE68KPg1uVY0vkBmr4wl16GPu771w43U8fQoEzm+Cw+y9druPzmroqCj9zMcYFhaj30E460RigHKXNKs3F4OYEql/9rhVWjdy/owh7AbncTMDrxasIrOcfdNNtfLABj8aRoM6aHXHTSN7cGwou/VLMNadjpaAobde/59NnTU2PdCgAvhDgTt5iRhb8Wl0lZ7hWkIkhDBkqfpd+vt4ickLhKJuZT/+U+DcHAMOcjHpu8CJbk9wK1v3YLp8Yf8OYiCelr8vVNUX4wFMgnrYS+M3xZgImx1eJ5b3tVhPmya4bRPJn1rp6GMc02VJetBuNsc1xoZSFGZYD30ARr4nF5jjw0/PloUcDaWfPuW+6ihnZ9kMc7MFujBF2vA/7PsVhM09Zk0IMtwwrtLntbNJCK95+YS1lEpUrqVSCSUOMW6mvAG6YAxJY9hUSuzjUl8PTtrizukrhIIMTN3zXzBwrP5AEJz77/Z30gityRCviR3xmmLw5M0feK7XCmU1I/WPa3LzQNEVLqaqUIxxrNdx+ReM1Vf9rEQs0HHLTNI7HV8Seuw7w3bEryvpKRQMsJrSjZ0+bcKMTTkOxD41pN3BpoTm1x8lScQ4egFpDR4iZzZjSC3h2OzVeF+VaNaiCi0z4XE8uYPjQZKTx3TLUwxpzn6s/3PiT5mmsqelqZEzX+d7NXk1tK+oj20o53hTMFMkEhcfQQwN/J2R38i8ta/lacmuLIIRBpnckB/er3BWP4gzwt7gnL1IgerPOx8BjZNknRW9SkHkmVgk2FPkdujUVYvmXKwoWT8yTBwtJ0JxCkE/pZl+m1frK02DkpKI1XfnFFROFedf+8OZY87jWRY74hXHwg12iUM4V+fpjxGDGnWMy6QYZQr//jaLzteck0wng6OCb0Nu/wgv5/IrPrIkheE/ROZ4SK0ojHw4OakkI4TS/Msypf81iU+DQ1lpOeT7TCE+OtD/SA3ZVFn0J3UCGvgzGpLYVaHKW5rFszVCCgSbTBgn1uELQRDYxxmD486p5MlGb509TDKbnESxJGCnLFYuFf2ZweTTKEmc1ZnpNBw7tZXUUNGirR9ciAVjFvxhP4i5TYSOUIvDMrfdGfGhihOnAWQHWtSgWSdz4nKMjOBJ4h4Y38QLAy0U/5KRzjveJ/t3SSrXch88kJ+mYGU0SqhQu2lqv2lkMYpr7yHmnERYxV1zaVp4trFiWMQBXa3ztlnjaIn54wOL5sTT4GWehMuODzRhPtuuscDznb/4iWZDN7Gi3kZfzR+Lyd8QQLM4D9Uek2h/arEPTubnDSSEp10Ja20sgnWYETdGwjb35feHii2Kf0uJj9ATlt/cAeJDfEb+IsfyILfiZgBFu83EqB9QmmpV89Ds4CFQg6YTADLRFaChBKk42xAyaqa2atA2LF2mCMZcx4RJR2TrKwZdCj+3JNLKxgt6/YldA9qmrgjX2WTKZWuvG5FPYuBGQqhR8WUCI+viLfh5TvXOmdmc1+KVz0rPzZxCC59MGusJMOoBmoxldYd0o2OEqYrgd7NbbEuzhBOiGXh1GtW9y0C7YXhpLACtq3pZsNbbZQQPlvbLjmGkLqKKM4hzss5jN5hCgdo1cAeqUfExbMX/rtJwY59b+XnosRmw62AMnIYzSnh1Vkuhqiugz1P6aiZ0DISxDRqJ4ydGjvVUwGCAZmYHpfsKxpoMHTD1yrLtUcNoR/kYCWZwQFprjrUu+U377DF2bjkKuU7bOSxWSuLYhsc7wjApXgUgLTViMJUdbNslaeLnqoYA3DFBsDj6O84Nm+7wWJsbPqTj0SwbF9lMWuUwWYWmSRdDYW3P9lmqSHLw6+1JfKxnKpP1f7Uw9EkKQ2H938FTG0Us6wadTwk7SeHTHAyKWGlTK9omhO/gN9dhuIXHxD67wufab0K1HR0W96bmd93tzchstthSpOxd4ow9Wz70gLLZPoC7449S0HXcTiXwYCKG4iPbVLTRKS4N7j7w6mva+WsTzI3WENcsrnGqKVMS3MgL0xGD4HqJMFbqcRbvcAciuXs6Q4BF62vEOFHwBJM5qoTBVz3wvkVEgzFWumdQJLnGE6nR2WFXV/+ogtBZWc6xB6tTG1JhppVdT/NjkTKM+TqsuVgrfN8K6VCnOk1JuN4HLTukApyCKUcPlcyrbLWn5rMw/5ytbz29mL+kgM09+wSAGO0+OBM4bW0RiNqp2r0fhFHETFvVErC/v6dIfnq/jxHG6Wza/95DrpZ70VOkgQrvmowuXGXpgglMO0BYpsxVgq21JOcF0CB8x7QKEO9KJwj7S82ZfjvauKYGkhM9dMVURDruu/X3wFr428t0pZfGTDa+4FjC8lWfmLjAodJzNuwZ5bnqyHA7rFWJNLTdKZLrwEdE1gltwV76Z7ha9ple0ZsvSXB0XM3wcrUmO7BUYWb1lLN81eUkL47m8iy6QnW+InVLZTKS3MsOX2QBxhp8G7wUzjtJAak2PRTehOPRWf8eRzxJHOvPeMVHTxjnxG+CFEymsAPusDZwhmJad3sutPMcv4MX6Mz4CjlW4Z1ePiazuCGXKHGWyN4LTUuaqPcWXLNXKH2qxrcLhnCjSPn706Cnci4bXdGircBBlWogawuKslAu7KDgipsPSGQZ+hO4PTBNR6sXaWhjigx6RGMtckD0+qzhbYh5xNzghl2Zgj2FQEbBlaO4Ffi/tC3Jdy6+fCHS/wfFVMuVJa9rLMWtOnsLF+zcvvEFJGH4trI5mCf4aBEHhUqA7ckJoxLCwfbM1jMteo69FisIuA5P6svn4PG79pl0FblvQ3D0Zu034RoTeZldsBf1rju1XBWqeHBv5GLJU3MPlVdjNVT8GMDbMZdhoLIteR7IlcwO0xp7638BMSOGpZfB2C87bd1LqwgwrK/IJqnEqLDh8DMjMbMhGr43fXZG8Sb4oiPYJrZKUVKXVIHD1tpgtiZO8WLLuRSQwwZ1772C0pzuhIqstZfv/8/nzDELsy2P/fpI9L0//lMhoxjH+NN1ZmhQSIowwQsBpV0CrHHlQfLYWbjFnVpCs/Corb5qvBAGEvYiS/XOmVqj3BSPJre9bWtnBGO22buDol0bTYLEy/IKe6LGlnTIHnFP6BrNxaokz9UTSaGxwNS14K+FCWb1I3+NK+BRZE7wMSUBLomA+UT1PqkBJ7RJ/UP6ggI2GEfcCDzBrtldpYwB7vbD7vIZWON1LjBWRkAEL/D8GmXfg0ncROi/jWhImm/uJxlsB+HLABvRSzZShN8tn307K9P+3k7oK1lqla0dVZBO2V3iEg5evtDOvLLvliE1fflUAtUEQfgKzwYdqkVSmJhmDpRY3WCzCmhiwTlHPHDScJ9xpxnIE7kYdkT1zsDIHpnV4r5Z+aCQ82qsdotjqd4QOMRkMV3utKyiC6ZF3OH5n+wTwDENBPxfeeOk4reJiq2mGyGi1pn3QlDidsPPCgB3803stUpc1sAJuMnPzxj6N8OpFokRVWsh73jgbV9ndXKSGFB2mPnmPJ1Dup1vkEaQy9oNQPuthvCkP6awb0xehfd5tAwttYTOIqsZWjMr/ysiZY1zJug9PdAZwm0rRbZZIYigPx+n4QOnn7SYR7DZ9lScufxfnm54Ve7/2f7+fr0zZpXsx53Xyu9eJv1ueeGyWGP6XzCrT7Jy07UPMqgsar3eQA3uObdYHFUzQENA5JLvC2FZEQbH2Fp4c5PfvJr9H2oT83VdAV89SfGn4W+CHskvjp23Tqty9UNCmkYLs4tZu56p2cVB0Xdi7jtu7a6lGBd1J0cqW8k6VYcNW47OGlGBNDuTzfB4hj4ctTTJm7IsWEkIcHcqemDyqkXNQRGJp5nwWFkWiuVZk6QAk2orPBRS32ayUSJ/8bzv7SaAwh9OpukgxpCiKh3gwRosqLNwNcsiM0rpycjmiYdUmws8RmaSFjLdsHWFSZ1XXal27xdRRKtDfKXHI8MekRoXB6lCK79abNe0iTncVeEIK17ZNBl04XgtXn88+AbDn3b1zzjz9vCgOS9Ee20SkbbuOKR8uuC1yldK7sS9DMB3mBdecnTrtfHfw2l3Cjpygfd9xtVfL3Ae8VRKniT6Aava8maspxAP3qVyNmsaSk/GhwBQIgeKXhhGKY7N2Z6JkT9y3HZm+Fd0uf3fMasghWK4AC7Q9har1npLVEOCsyzqdFTGbmvXM3dx4GRJR6tjmhAcURSz6uOPe/22MsDIUPK/6edflYs/EIo7V+tMLlA1Dj/JL/N+3zFHnMldM7+X2kOZJerg6p3+fpLS8y8YYyUyJRP9xzM+ZHpUsILQ31wPSjuLM6FGKnJgdxMf7R3fL3jEqIxdkxUFTwQg397IC6rAhOrbmCPJKRLcf1fFrC+4Q79SmqyLPhpVKkraqgeBiaFtWTwDAtNDs3UKRxB/c70qrN4SP8A7dQ5kdA1ubwjkN/DFJWgGOGvOWBlU2QwCCncy3CyxLZH9FA45BgNddWysV9Uf9iWtdBC/9CrKP0u21IQhHSkZQ27TDjreRRr+BH7keSnflEpeuSiuAuBKBZzrseYqSsKqgAkmajzhQvyRtBVJjmgwbNwWokMITl+QuTCJlA/Es0Kgonn2PNH9yLD/uYmKpjqFdc38lprzZKddDmQmga5ZYeoqfcux7a359BC2+9XIkFPM+7M85lXeCv2If/orU3pFuBW765FBHwFzLPVfxlB/Pr6z4ET+f0FXs09YTZ4AoKUJsdYE80N9ZArK0gyp6SCeWMUxg8vua89Iykf8KFW1Oqir56h0sbSsgtM/fpP9Vbi3nzO9GAX4ycJsJubQHEcMaEzvpqblwzq3kGpJtYg/DcsJLgyglLoKOtyjBFg51mOc7SJEDl44VGPjMkeVyzQKtUtgRcntNJefqVAZPnaQKcsYc+8vseoK5q9L8WigSyvXAVsLbOen2RsS06/WikHmVDMMul7YT3T7drEBrcfxd7MXeRx7etDWMuwaxsvG5hT2I2llm+GPcbadk8TT9HYouTZD49FjqH+K+3eR/0/NAFdnntnvWatNbcZ5OzsZKG5q33sf+bcXRmivb7dxBfLIRFnBfpMcHvCltmY2UHbiSlLwh51G31ft/DciXr+F8a9toOJKV0MsUHP91NB4VSnsZ/2kILWdpBCq09tN434lxOI3jcUykcBPnr2sYFnojgCThbPhq23jlOqX/kwgNmM9YwrKMSdQGljfStcC5t5Nfm9Vs0FEL0UotYgqQoD9gsAx+koNvxRQ4SfNJUkuAKpAZH6BxU1fMCkA3vbV82nDEB+8dVWi/KJDV8Lp0XunJRUcUO0QOQIah9PMbiONIJna1YEgYrU7609z0hBD3xJ27WPxDYh3w+5gPh6QfkY/sXksCfC48ddiTD0WMeuiT6HfCsndX+jcIr1aQ0G6Hc+R2TfZJpRX95Y6IBlwbG5n9KewAJ1TgQKRevaIJk5I82FtFPhrGj50YaJx+p8yupy1BuHcXQiJSU45bSWfQ6nExwKEZyXWnOUnm02UgLl3rnFH26xsVufzlcPGbwJHVutUpOjGfYa1YwUdrRzm3QqHuePJ5ipC9mEFbuBwSk5uRFWCMQbd5LwWijA2mDOo5yP/3N1xhKKbyj1Kr/LMdsVQo9MQ/M02zwbQ/YzloAUVsYcIK5hKQRrYtNOaFfs3WUsSwTtMnXX1PCT5RLxH5dj8t1g+10mBXY3OIggq+n7iW+IFdo5xY4NjbWtapa6JZfF9bDsKo0bH4ZdvIkMmQdoS94ZAFjOdLzGYftlxO3WasbAUUcpul8Or1cShMbiBemz9LXFuvZ//0/Qe/YlJ5t/zktYsWWZB4VcG3lWvYeaYiQGpFQMGYgjbDfU6HVfJyKU1FBFsS4rxZq0jKJ2yWkUXgPonVWIT5yYvaNjKmavUKGq55qKTkSPg7bj97jGwq/aPTILRzF0vAxx8ey9E3t874B0U/Bk5NXc7mC7WG7ZYJJGCm5dQebOESX7P+KBRWnVDP+Z2eYZKw6tGXVp1UDnnRhFooqL1I6aMkHtEexX0Ph5fobYpQuzi8SpWLLg43Oe/IfYNQpbyDE+zMdHS+ajZYKgdWWnvki1lRu6mqH+CYyjat/aQQLsgzUmg7Fi8NCuQ9pvBuZIZC5O2WqYEdzk/IKJ9P/Oy1ULovYWGr1qAwGmLAHSaT45WPsQUApU6R+slW6GwRW4nIepgVCLThQTvz/1Hx447+xy6Y9kQ240hLsZ8GYEdTVhI/y5Lbngu/KmKQr3IVSblULBZB1IPe9RpV7how67lNB8kjxVBVZq8jVO5Y/FPK9+XKs4uytZg9QRuNX0wGFucZBhmj9jl29FHyYOaZVUnJPQlCsjpZp55tkRhXiwuzHTb0RSIpTRgb0dI8AQ2LRBJUQQmLOHDY202Cb1smgfVYVJ6F+Ch+/+P4L4sgHqXzJWlYLaxSMLBseixAVj34gjaCjEglddeUqMGuN15Tg5dnf5/r7yanmtORmFKwpizi0XOvWpu9k4pfce2nFWb1VEJC1XjtSTsyGi27bSBb/w0iioPgyErIpHjoG16Ju+KrEhlXn61wryK79i+zKQKRKpe2FXmr6nINbIG9QIQKqgyPK4xpd19whGNFdKXO8NBixRwU8fZlisWej+J/FxXozr6yKgQwvOexAmD9D5UOTcdMp8xnGWLZ0V2jtRb1KyT83m2P+GxwMl9RGlxX4whpka7UhUIORnlAwFmFXKBpJztHpjFL0GhlZMZ7tzB1YFBC++2X6aSyuxYxgDP0UAFpV+p4Gafa8Aw5J5ORIfDCjDJ8t9hw1ndt0k7SfCT9k5iQNKZ50rEAgvbXugoq6GWUTvkx+M5XxAB29a0HZCuWf7a3MEshRLfQiEXnDdZIsO8b64awjGFABHK52tx09cniPsJJWAVy95r8aVLaSnvP2VYHAjq//aQHnh/y7Sl7kEGV+WlzYt92ESr2PA/vnDUoAm8trYXZkdAXgCIkjkGr+Zlg12Lwm1WKRE4OQeZK3v/Jg8VKsJ3Dck/OFHoxGgWVIgq2YYVLxdp10G0PUvDbXtvIK9haoEmzhSDngXpKOZFNZuqizXgh2SSiJrYyBPpUsnfOhKIJQFIxD4i32M7ujj5Y4GoyeCblYKL1Nwi/4WwzInpnW3zQvHe2GJCO+3t0LdtQ/6HclKI6ni+X92Pa9eF/S/x5/ymXhp28tskQs39i/34eZR1fDOjFRnGe/wrW93COQ9w0TCAqmgHMcwQSOgE6O+37jVwW8ERLBf/Ss6D8tjz2oRCnNkRntj+9jF1LyCOCGs7+6clbyDfN/avMvry9aiyfF3V9l4S/7G5oTpdOPMQgNk+a/npPoV74FlCNMucIzWmedGljK9iaBOA8lqvkIlXk7hf1KbQnJohsEZDtcoLeJjWy2S5eVRCejnfe/mKqrFpoFghnK8hiZiiOvKLAXSIKkiDLYiljge4XVre/mPRT0Colea+YjSydiQxP/HL9a+wEXpnhrGSd6PXUKF1SNj4+A9pqd4CuO5tpBHA9NDVHqsBRGqqpsIpHZ2MKF9AQHo6/yPWhVuWqpJOoGtcOG2ydINjE0CAr787IL27au9ASBsH9W8UEuGXi0HkC6wDtTP9bQpKyigz1/gZPb06ij2djCJJUQwV8l5jkrlM+jMxwdJhY8p3A0uTMjlnZ0UuS4FxxDjdTfmYYcf5LhPY+kDnmW1zSAHMSzaoKOlfEE00/iff3ju0Y0MMhyJI651InLbYkxQUsIIzdS2QZS8rE86rSgnBMHjVgSZ9qnWfwqLAqI4rAcTc2V2Gt5AOtsMMaTmk1WuhrVNYomneJMSiomQZrqSY+IUJtrK9kg1x5/O5xv5ZfHMi6R0sb2CI3+uQeTihyx5J77/eM1UEyHXEIk4s7jzhwObH9SOxen1KAsjzct0sICX1IClj+36OWLv4n+ZhPF+HMkjXHyWcrV3Vvm9oKa+CmCDbIBiSlRndd1NzKsiXPty/8JrZBroNClux4s6rUL5QC7YvgpLmu/2/KdPYWmkKQITI2Fi4kVI28s4LfrGS996X5n68MFiPSeptpogxqqbMA2avTOvkqD3uUohCMAq7sqqWOr7ysu1pe4nRYIvGoLRlHBVZjvyx0fWX8SRf/d/mnFoFXSbBfnE4mCxo4eF1ydasQLGUt4Y7mZ8HZ//PlYkf3xbN/7/H5ibknLvnyn+GesePecZ7ROWdZSqVFJavpXrp+M3p0ki3+FeQDBZuo0Xtb6XtvDKyEjaW0xWkT5o49AXeQl9h72q7SJzxlz8DR32R9/+hmUx4ptEEVzyvdyAzPTulScXlAnXrtrJskv3V2qvlgFJxyMUWzUyEsW5XuUZVpo79dQgzeFRez0qGeahgxGI0z8q8+6K/ZLuMyBoeAGwLGg+mpyTE/fI2env+5+p4yPpXUEcnIkcn0vi9/j8R1L+/gfbLrj48GFkhRdZVH9McgCXgexnke8qyg6RoyfD0Vicg+VaR0roEmaU04DEQws6nARTDNI8fJDGZhuABU7JDON5QMN39DIdEcMxMhoUArDjFyAwKlOMsyGRIKtLpgMgwEcIDV91uZadAwfChYpm97N4Gzrh5QyEsAWxfmU5z9yPwhOktRC36a9on2NQDpPwJUQsoue8GdaXkhJn5Fif1/YZy+bFfPCzHXQRWq4JVsMx+yh/2HB4b8HYBrVVgbGdZqurElV2jFPhe2mQUsMTZlhpMnNb1Edl+cbPsZcdDO5LcM1jWIxJcs98MO7tsd11wDyUUwIjDv+w+MLEN8WAmfCooGMEy6U8dVpa7D3Id6eEKf+CQRgVf4ZZdGM+9JGOZZlmkdcWJJZsKcrpoYlt2Gf/kfOGLtGxukxu+ukwT29yl+deW0A6rXwg4dljDLaji23ccFmPFVF2rpvopUgbRnFWjtjhDr9JAic5huZxJbQYPbwPCdNif0u9pfs03fQxKvYB3aAo4aA1XSBxiBDZO3VGD3CgLlTjvXr/GCMvzdmQKsUKCcNpe8IcXyfIC51cl2fhhy6sUgbocfznUyY6/kBKedLyTzgiCLzQHXrv1aMt2H/2jfUK89KCntDjB2MGDgZyQnZ4GA1POp6TxIodxxQlSsnE/V7AyHZH4mmkdryj6xteaJn6/x/cbusHu3YnzX/ssaYrRRnQ6AvLVeE3ncGF/juzU4IAppagrXAVyPPbZHjifMk+EmPd1YMw3cdkTPSK50zaiCfLdtTHs5RbjpP0FQusffOCradRKifz0nN+zP5UsmWqXcYs9JvL9IPQh9g3bOlbzAbKj6bQBugLvxHr0u1rt7U3tBwzOgoK5wyZ131AG2r6LxUVFLcdVHk8RsYMRR+NVBv1xr6lBtHxyfk4h4hheSyGRmAPEXRasmpI6TAuhGkuhmwZ/w+J9KHH+dyXq0zFVlRKjIsc7A6JK+v6NuULfUp3mOu5ciaHfm3sXWBHcfgp+lINjbxArj78dwNP8fxzM7No4nRg97OEv9LPGP/EuFZH73YcUTSSmcFa2Xge0nw45HOXih9NG2rDnPqo5aZWjTU+45ynIs5IlwHEcWGBnNAekSupCk2KX39eZlHWxqVOMKbTIpcvlB+Ort6b56Xy8Eaoq3MZsg1C22srkwW+J9sx3y4V9xz0u07hUctnP9BFQd4J+y+P1aFy/qqybJILBz/dtD5NifZiejSjLTWWTmOAWFGfYJ8e2lXyYS1CEb27tPnppfXTktDkAjg8O3ZEX2R5n81emSPpULWi6fbKXf0+Dt3q6sDGzI/oiQv1r0tu2399wmz8mnePurvq+f2+bdcWQnqX07aSfhR/aQK6cfOchfcZQ9o39yGPuCG2mPjVe//1V6BkPp50+6lUA9+dQSGjd5syhk+efHwnvukvAfPhy4klSSgpos68UEoAPyI8yPDZ6KLxIRjL6j6tr/iKFoJhqKej/vSase+1HrB3YPvdkEj99KCsIwWC11PsH9bZPkTSovEA2BS2e9T70opVHm5DqUDqdWzvJVrDauVyiMBV11FeJEZV0RWEPPtxWfLhBh4mKfKojzye85gvRDAEo0G0+0z7cDLGx4TqynyfqvaPd6diCqffvh9guNTh+Cp1iEqRaZ6zUNAaFreJVjuQaO6+4g4qGmFe1XzhWnBoWhV3Sdp3Mrh1uFJ1WNADQVDYgasfSyEN04aKI9quOdV7qao+nhpr5UUfjWTwP9ouw78TXrtz40+gyJ+VtBGtYkoHOAkia85y7JN3ShXqGB44b7nkiw6NAW8h2dWVdezOEGNZROZOSjB3DGVNjOpHWdMspW0il2++r3DYMJsTqROgqMXPvVxulZulh51CXqp1X6Dr6KxNVpWFro3GlodSzl41gIFfcttXmnYKbRbi/pSqgPEO/InyXB6l+M9KNS+PgfEYx8rcNQy2ClKy/3fWgvR7+QMP5Nwf3OFRAZQ7BqUENfGZVUTK2tQ6NzPWARbgvFVLOMrrAL5zX/4iBNrViIqrQIgIKIyZ+8hj+pb1pp2auA0l2pZWxHFbHIHHpGt+c+eOySxOKJJSa7X9Hc8qMowLQUVVjIUCPpfXuI7BTGpiTliwc+7J2veEkJUCWFVEq/yYhNxRUHdpclqe7vditHHlWbFnqXao+8C6TLe2OsKskB9pdkUgI51jMvq+qZRu5E+wSUQdU1qhn33p9Si8NDyUAvobpAcaz3L0SejcxpT25De02OHWVtTdtGS1+TrQV03Q61vFV1e0BekXKXartiZYf92N5pKsWBOv6XLqDloOrtX5wxGoJY7FKZiZCX1FJAcjdYEnJXjSQzLHKS78DeAVhOHXeo1yzh03ZDgglQcR9u7SzhqQLbbYjJj7FAqJfEmTeiMJo93EvBpTTTLhFym5TNff5rW4e6TB9PNCjKrpboEAg7XbKifFRRHEHL06SUadkFXeayk1A/m2x9S2KnSKQOYRJiDZOMearAg64xHSB88auTSIYkCJ6TRc56LvUenM3VQ5ZqF1lrZFpPxEDiLGi7kSzbdLJbIoisYeDsdlNSCEILmdOYTILSVH9IyiQkhp+lweDT/YuezeyJzZWg4yepSIGslfeYTTwddyJcF688wPbuJPBN66tDh7fFDslUaKJb87UmZc76NEGlL0hfjml1QL6YuKuFJljhHwIrgKDRos+stDkTVLSuHO7F+H/2RZFlE2EYQw+V9YyKxIxiuVp/0tAigFEPAAfOmJ7E/CWVuNLyvc4VRvAwFZmyuspn1K4GJEABguSu6KMJHYxdpYfclzAzmvMdOMU69R+nrVM+IoiDuYkXt9Pc+WaAZcViBasU8o0L8EkzlTDCJ7RWrLTMO3Anxd3G0y0Y6aKLbp/FDGy9PknKvtkoSXtHNCpp9uJZmE0Vh/+LcArTcUNl+ztz5ueXLt+478voNZXaH5yc+cWiFAZtF1Uo67keEi4GI2xsV/ziOXfG2aKr3NcShxOfdNq3kciVfKVkON5BEaJY4JudwIJuz5P82CYeEBWAuXBYhSYtdrkrG9iWINNgOy6mE4Fl6vYXk0GaRcMDgVz5e9na9SpvijzVm5j0dKLIr+Ry91RdM0hDm1NM+l/11trcPODGjascmBqb42zxnyRXx8Jzg4mVM2/r2N4CQ2V/3otLmpfg++euCeA6LSGG1QIkGM/JKQ1kZJnAhO7bEQ2al0GpM9TgPnulPfTjuaE5sr+qmvym7mzqG9ZBsAuiNn1GyLdjCpNuz6aSBQLVuHkczw0HMC/bXljqScYFW+9pVjVuKJtOMSx5sJlYwHXrMAMOat0jpVSlsO2oigdWyp5NhreS1o447e+enjoUjR3FWFINfGF5yqX5NWwvPY63Pigb8da0N6sVj2kavdj+8CWzpAeXWRwgVQLu7s1bFlaDM0fnCNi1u/RsydxaCET7GM4nvZekn3PDFgr5UhqifzVCCqewA38a1UVn90Wsy8NYMj7fztHPTkU6JYlikFtuNkogPV5G3ttgSu1NYjQYJHyAXJ2yunEFFdSrJFdiyDB7wA71vpOwqJhj0Va0Os1gWHO7qlp4N+WcRqi70KqQZN2lq6vdmfsgf9Vqq6LS0afLNa30Nlx2ITz5OeK7U7jYoIOKZByMupux6p7SZhGaXuH+G9XTvFKbt4tVq7So0qRQeImjTnX+1uLSDilhPlVyFFqRxM273unDCRhCG73X8dXoVXPsTbkkoQ59muhP3M5aZUIsJbh7xpJY6GkOIL9RVUOGcQNVi8aj6EVKHPaNYj9FvxNmo4v5lbXi1LbXYPMAUbDSw55FZXqskCo7QamvxjQl7d8wxsfn5pnxF0GrLVFbYNudd7KK1fOaBsLWK0uvW3Aplim1zisfCjT3Z6nfySVj8SuOOqGEfnUinc1fMlj46lwtnhvjkfJgGqHkyt7BmMCwcdc+H3jyQLg5Qbd2RWaFkXU8wZKHRWmiJCyHEfCTzvAe47j1py7xuYff6XwIoemacJ1yAJyP8Bucsv9ApDDv8IOBEBuafF3AJOTbZxiChFLzISRfVVfFhLrAgr7ozb//z1VAgXbzEXS5qy5SnWMK6nbYltgOz8/doumxWri5baFBgwqomZACAqh76fONDlQDKYwR6IW0mVZYHAX3XVWbqN58cQzPLmHcnO3uZ2o4Zzp1rC9A/PNnIQel3Cl9p0c0LYE3BHu7/r7p1SL/ah4DkNSh4TyUeQhgR09aLGt40aS3MwQnUomXauK3CPsepuFoAv0iBv7XrZ/F5ltALW8mA8lsloFVu9rITMf7HZN6YEsT/HcxT67fVjhBWH6A5tQ2tsLJ7zrfCHtgwiKYk67DLDdeXJFnqv5DiBaMFGEmBXu7u5SGsaodlzCWUM90/AG9hzwZRJx4h/2bm83mcBzhun82GnN3xE4Ng5SFlCWg2riqjwMfFq9BgZGdMFMouCX+fMWReB6h4cslH153vxyDIicuwJjQiur1/ItPQIXbWtdFRhYC8riB0F3jbHWjL6kTodK+3RKktVI0ePk5itC7MAoaGzn6T3ffrBTgqa86WJ/DLCm6JbvsVfkJcjb5ZWhlG4FOxQpdPH3p7vhTAcnBtymkcKshuXVln38YFMjVeCx9C9pjUAi8EeRL263fWqYzQE31vVzBX2z9bqOc1GuybnFAzfq3P+zkWqOC/Ap/vv98v/g/2ezP6fNu8sWWTE1wZs++7o0H2hDV6BhqRgn0Q5Pw/bLMjTCypnPHAU/PTNz42DT8tfIaawJRZncImt0d4mBhxCvdjeSspaHprQF07dVjS4zUeXvwfiR+6r0+iHx88jAK+rmR0huji+RGbSOJbnrkyvuI5/NfB/DDnVg+RBpm2bOpYba5MGvsgmFidZOKHj09nT9y2y8ePnW2ciLY/pDvSEzjerraKpW3tqu/Q7KPv2lury/ZLz6Ff2pHpvPlh+qn/2jOP0lzr+lPRgTfb327jsbSnoH7W+sLVxoVnyrZV6uxkv3Hfmn54s9qHKP9D9sZXPK0dXVaPpwkdif3m7x8IBnw4gDX+UJvdvKwI/IHmliczJ9EYHtg4t1Ahk8dSC70A+oBhc7bpygDthMykXa004MgkaCDw7wkR9CBdLjYyej4d36ciZKkbqK4b78hr6/Rl4Z9qigSTO1Ryft7IGxy8i3L8eKJ6sXYq6Rpo9+eQrgA3xyNxKP3fnnAkSm5e/nNpcDrPxy03AaL975gQxWdxLoExj55N5OYdyfTw5Oldv2mCySoqYWQJBo25VMq3BpLaoHrmAiQ6e+ioXDUlvDUfQ2Qzx+c6llL6KzzjCWIKU+rRB+8rXmuqALL1YRJNQyF9yFESVVGp737AsmY3bOk+NYKNhjZ/Ra2ssz1s0iIjg1DwoHuQzfc4Ne3HZyCk/iZCJkmfBddYoRtj2MIx34OI2lADQqv57iP022Vd7xYSl6K6RL7UKPEEnhV9Z3xrpf8WpPIfWri85eVb4EcvLmcWbRutC3XXThkoiopRndEQkdNWugoCz6yEgJbDz+VLkAVBV0nA/xornqB8MlyjJNFtP2nl4fnVQaQmqvE7Herg9Eajnc03mYeR6rTitdG5qSOorQZRFUDxy827zEyvZt0ckTO1Ypdv3wvurFI0eqtAztqiprJhLc3HJAUgDbFSORidFntKHoIZ9yar4Ofl6bPLIUcCMJTaUq07OWllJ2qk4XyWjrKsROdYtwRTrRGLd1RqWZZoZgmib8SRtQbP2qt9CI9ygqetZ+S9rS9lHRJl3RJl3RJG5qphfZQ0hpkVLZYAhxAN8/yp3q7UkELz2nLs0CgqZAOwBXUvFc1OXSRqZarc5u9CNxDIJgs2EaMoUECzcVTySLTHqSjzXlq2BYWeL1qK49uNV4waxRT2JAV4bnVHnq7lRa6gtNyK1R7FVfkPjqpXjjUnnTRaOo8ZccdewBGRYOdxfpe2qr2ybpW6NF2IGvqI2OeaWgozH6CK08XqKkMwsUSrYMFeYPL9AMSO2OQbNLlFFcGN/9/eAod4vVWyDJVGi9iQxlyzeoUlwyXl77UzjnLWz9v8Njdilzk6kATL7PVfJxf9PeL6uYba1MIQVd/9N5De8To0TZ4uvToq9WVuP1C9uw/V874nT5FEfUqHlurruTIkDxzSX3ZjvqLbdwPqhHKGHujA/JJuho3/5Bs/PNucHnTaIGntl6lIoIxDhwGzY8ZfNtyFvx0qztvcOtz9TmClbeYFydKTQVS5DjJtnP6B28sgs9HytPdQ/lQEhw3UzRL5xmW6py359/rIdwGgttVWydLpdrMJBf0tF3J4aKAJ6+LS6mfKpw6PTiDiKd8VAFicfKnQxPOuUqgY7bhWTMP1rncrW1fGAshgQ+UkWTw0Xl6qb/59agRFVlf4epCKtxC+V13ypdTvktMKNSlk0KUPHWHxf39Rgfpk2SNthFYX2utqMTwRDuHKz25O0XX7X4PuHgaa1XFggjSNSb7o6fFxfwqge3CvUzsWIOCgS7CCsoFS4E41xi1uFzqKoL/wOq4TRQ6Rn/22fx2QKLhd5zZIY7oj0jwL6c45jJTOOSINuJDgaFf/RyV9oDG6Q8IQUDxPV/rFcylFhWYxuIEFU2vAYYmCSg5oDnd5VRUeUVaHnLp7eqHp6UyUT0MMANuk0fCKPOeUCyg04ZxdAnMzDrlEhQ7lHo7MgZFQWsrv4/mfaiFJamVEt/U4mX5DslsMAFKAclTpQNZKMyHk4930YO8i+oUlUUEC7H2fpdOPP3uuTLGi3UdoRjMNGAMrFOgNnLVAYTFGzD/4EuwMZbGQjje86SOhuHCtpXSrgIVHKMx7mjcyGbyKyLzk5P/9bO7/sjcX+pEDNThGAFWNQ5GPG1S55Sfav0xFV2pUemyF+IyxWUaH6Yy8pETdONS80+5jqusFxzgRL/dCKL3qp4t0bi1Pa8zVZ8Ue7hU5y1hOfJgBFcx2JgLc7iTFZ2Y5DKaQrZ+uVLK4j4tD2iI61csT4Lijl8QD/dTXzNnW1Kql9GRV29bq0CmgfPacpACAgJXCX+vc5BiON/BkmmoE5TJN3vIeYgL5TOZQJtXWXVKa/L8VmEpquV14pBbPbumWdJOWs/UlOmzbpiFDUtzpfRDw29gZxDElO9FRwCk6o3qZoqtVBPS7GVDa6EC3AulxY2ZVcqFpoIl78b1kHbjh7xvFwgP51jV9xddXoPyLpA9OAfjmvy91SRFTLPsYIUgSfgNmbJipBb7X1cAsA5mN16Li+B6NSFZ2y+2OMKwD/xEnMabERHodUtT9r0JGo7tT8RzC173XMG5t2ikKum0QfYzt8sfK+9/G4rqiOxGnROFzLphjAKNbi1rwSrfANTDyYuT7hqakyvUqTTgc2cL4fKzb2tkwr3Lu1qw2KrLUaOBwK0+hP3anim9EUEXkFEmNGdiqn4Uv/UUvPJrc1YTQKSXnlLnw/6BWu7C1uxwYWfK8JgddXTaGTfiMZy1ri7H4nTX3pqhP9p2T0Cp21mjDWV0uS1W2CCo++Iqt7LaXQMWwIzn3gu4xudNPXTLfs3bYzt05O2n85YZxNazCWlzklQgbZzpfPt2mIF+mDMJZsegNBRC9J6/eahCGicd5fffTv1ZX+2cIkIyYm/pU8FU5FZcMVn6CYhrbY2+xxWxVSlzccW715UX0zZAXM7bMv33NpLeNuHUTxGVNn2pozSPqEsofl3F2Eb6pn8h7CzdjZxyZ1nWRcg0S2Lbiu93xrf0sVIW76U1vWjwQ0f5Cu2HKIlDtuiqnL8x3cyZ2cmg7kg+4vYvRfq0Oq2QMlFBVG2u9Qx6F7OTANcYhS+qpXMKduDyeJ7iIwfPGURvoCrGTEaHy3Viw3vsQE+b1+BgXpgfq4Oe44uzZe1BRHXMtF6gjmlvLr7jDVXFNE6M8DRBtpnoj57hD5au1vmYrfLiRBilAklSN/V36vmMj6rN+pT13x6zowBu52BkO1VXu6QJvpfu7DZMJS9M+N5s7sydbC8+Hrq/gRn0DX7lN1vNvALZL6g7apUa6/Knx57NDF7Yd+fHnxEvLqtx+C95NJ+N2t7xG7r5IpDfMOehIflWd2grJr3UBIqLzD4eZ4gqUV0YrGwJ1T2XNlnc+s8QRVQjg7oqDNtD7XA99Q/a+0mSUBtFOecFPcVijrCuw94koe4PXa1sbqyqEJTciGkHq2yheyK0S4jB2LgolxGbz9AvNzqTRa34OBsnAzBcgnLB7SRbUjfNb4U7I2vKFpwUDkiIQLYLZU4EfR19MHi3hELMzblVuTymyabiznVauuNdEp4VFuGNsDIcQrjbUzaSA9uYpD2+icy/bi+fWmxUEJItxcGWKAyM3ns8ava4Cb11TljHuI0XrtiIrxOpCdibe/QtF0jhevcLuLGVsC1WprP1iK7f5VCf7eXUTVtXQ7oQff5Np5ZW2f7umY7uMCnGur03Cbspa8zjV3GBbC3ZTRPuVTvPOVHjI4462jTnaNORvcXimft4n1ttiTCe060UH34dI7y687FgmQDdp76tAA71ybtoqmIp63GRYuzxbD3VuISCgYXLNGU97p+n5tJvC9lViXF0tumkc7Uo4BzcI1K0dOBbRzTVMzLlEJkooTZYOv53OtDXAYD2tUyqVfzwcmeyABy1gXCps3qHkVMDh4qJ0IZRdbUTVW1H9eK779w3CG14G7FXxzVKA2q9TlhEkBT5yopGH4uiorEQig5+XCL4sZoYa27RrPJB9zu4Sn63HK01SVp22y3UedO9vQBTl4uB4N+Fxo+aoebK/SM0wU2FlTi3VZv5Q3iTt800vB1V2pyyb2hDlwlN3RrdQE99uDoS3BVLtq8l0in6gCsOwT46WBYaSaIh1p0kXuBNA4Oo7WtnisEjUC8DiS3oKopl+VwIma89eRi/NoHuRvNzQOaqhZpCcZlXiMk/kk6H9uZdxBZQQtKJK5SmMQ5KcCuNFODFmTkrpjBzJzZ0OrlAl9UFXwUeblwjIBbCyAKVQlkD/gHXykbUjhoPUu4JBXXaqROXVXScMWJ9rCooOLjcKXVuM4KTQrH+cqNRpOJgCwunwMAPqlpDF+k6yCE47o83Do4zRtKYojLHETIvtdrzvQ0d+oDS2jhSTOvShbeeRGH3LqQcfyTQ1vlUr4C1zGOF9Vxa42O+KHBfA3/rDW8Ef6m/Mggm2c6RTusOkujBLHgraY692jzc3UH54JGmxdVPSlti6zNTxMzpxil188BgDnjQMhjjBReitXPPJPGz1u727tsnpfI5RD6FGNv2sA0hyrp/JTfgxgltVw0FV8oRRCOpNhVqVSL7/SLBYhosYQDtpeRjRqraDAKzlXCwmo40hPkeIYbHH4wpd4GADVWM3IBGMmO9gFv8z6902Za3s74hHlkFY1JTuWLbDMFr1WwwuJDVhmzyXbjo9QqHn6SziqvddMF9ODEzd6XXbO5uPHtLGZcLL2frwtlAxP4VdQu7pBIZq+oV28ymGg5UvdLLd3DS4QbSPVG1LX40bDWbh5+rBK0stc3PyckD4/N0mCyYShCqTn3jT/SEnSHLpqbqx0oUlL1xnHMgSZTGUj+BQk83gNqYhTsS3Re3BG9RnlE1gxZPGDAsqXYWL5NXzFVAvyd7eKLAff3G5ATMfxI5VLlkIDeMNkbLsgMR8HC8E71hMmqmtXw19PAYT2Lp/m3EPhMiqEdyW4e5G6TKhpgc6PVw5brV5J0wErnK9uLCvpNZPC1uu4bBxRgQl++2Hjj92mwKFsskQz78I2sHMSklPBkinE6ZfjBgTdbNEVyRHNatkCfwgJzN2ZuWnZPNI20HMMt/WmbM+5/yKXzUbX0wq1la3UFEdoJFL1bZ72KvmIdSW0iohoErxZYSE96BW1vINQyNMKquCFJWVM5DkBdjH5c3h5nNmZ1im82ineIE4r34hsnq473mjE7VGOT5jU9hXD6eGSMIjoKzFaBcBKwaGEDRrRcPzmaZbUEmCBQKTw5DwvbHq5L751jKhKc/Ev2WQ+JjNeHZT1FUrYRoS2RZESVLS7flVdf2Fl1tWD8rz/l29voxSTMblyth21l/AWB7INuzIPndCgk96kt6W6p/GbOIyU3M437E00oYHrH00TrGbK1MbsM8MNb+dtz8WiSRT0mSzJgAGY60BAAz79Sc4ab9qRk7Kts24yGTir1+Zrr+rqZdPsL7jJR3ICdeR4FjAJbo5xVRDvWCEDgUE+R0QKWS4HJL6i7ibYQRg6MEytIF2J95EFoKVRvjfdxGEWkkoOhfi7wnrevNVkWN2YDH7O7548SVS2f479bzNn2T3ArwSAJ7ntvkK4Z1CMiXeRDwutPH0G7JnVKvMghhpNiRQxfD6MMmtF08w9tuJoyqlzmhNCr69xVcOgxoapibfp6pDPLokB7n6fyAyzQEgTKNWB9tX5o6SaTGyh7ZpkrJkiQmKH3j5uxLM2QrOQzk19XtJOOjh1Q1AAYzF9hvD7f65hrelEcjIZBjr5NXz1jeLSLAPycUtmZA8m4Z3J9Db02xmExslArG8OYaqTpnN0U5ZRe+ecnaK9BL6UE5xvA9wUBuMX1HeRmbxZmsUpNhlbT71O2G9n/PQs04I6v1beZvZIW4vZ26hCkFCRSeGHHIfAq+Rf/CzTHfvt6gRLNnPGvXZ1Gge94ijwpVzqNUtfulDV41nceMfeKq4jFuONejDURUc2Iv/OCCFeej+ZtHqS+Pkt84Tjb902IFAr+2obIuIwYZDAetNZ4PFvGFkgOb3s1xrZv08oPxz/X491P4baUbeMCLp1eD+2dcf1HcQoEQmA0O+M3xGKKMBuzlU+1gEIhe7UBxW81DVw54kYBs6MCuL6aZn02Qmjk+C0J2toR7xcgRin7PBMVyrsx0uPD/5udCEotO24EyZOIKDl8Xj+hLG2/D2L5zp5fgaTPgF5yYiYEkTdjdk/MRioi3HsIL8ZAkzfk2N5peH2uzmmlNG9WImT8225QRJTzCpDzuzBiHbc2u4KGHO4TPeneTin4Zabo80l7R9DEG8B8dbbXqgF/rI/tsv/yet6/qEcRgzdjQjjZ0jfgtPArZEDhia0N7fH1ldkCYCyW7qBbB2+ikI1CxiVw6wPJTXH5dCHMfxQ4c2anw3hOerBLwApAOZ/AaO6XUYvoWzqpG/RAyyBUbN0P3PdjSOYs236YrmxijQLD5rPWCxc+kQW8TWtPLPygvVAqd57pY1PNrYUOq6/sQrHuP+40dDSeV3a94no5ZpWxLvOIw9wbG0gyC6uVgw4OEsHMHu1zdJ2DH1nnGuX6YsYWDtUetiIA8xGbXa2PlmiNZlGUPm2P41X/dXU2qXEmEAVezqzy/DdOkpVbsOnP9jHN2P3QGOLTcpskpBTwGs7cRDfRO4CAXIYn2Zg0hFkaJe0ubxJ5du0Y6ysd8QQoDANMS/5zWCz+TMxJj4bZecFNfZLn7Q6sqwwYV8GKyjMRrKOXiXhMBp7I2sl4zwSNbClCTzYyWWxH3+SiDXR5vOaIBfP/ATrW9ebU4N8pcg+brOjAnHsBDvD2kBYLGDNhxQHgUANJz4lTAyPlvfeaPHnHqAru1McZcwFHpeM3W3HOKZ/vRPSeQYrNwBitG4elfQYAhaxk9d65agtJje0cYJ8Y8E4DSrGVhJY2SwqIHFe9sRBOXtexinQkWY1kpSzkdsQDbRIisUyElNBJ/vT5QGR3C6UJCPh30m4yc+N1DEwgL0NAXzjtFpitc3O44ODIWwbp2jyHmp/WrbOcYGElu1ngrpcJ/m87RCcrFE067UizhZs/NegwvGiWB/v1hQdZ6ZdEnKzD0xON9gI2A5gbwtjMNGT8cwOhsvOPkjVlz3N8jAINx5u/Tp3nsd1izYS/LaGSFb8t3eW9TC9qcDIZRc8dK3FGYDbN1BueM4tbXPYNQV7bh+0Oc7NfOKulkv2gFeBHyKGzaphuPspMjsUaIXi7hLddAK1fewU5LsGyFKYrDBiewHj7/G2buvFXNcd95ifNQguawxvuz04zJtwvhvzCbhoL310lw7kYOT5IudBHvk/YY6GnN9DtIE7q8AyYzHE3csIpXNWkIpurmSOHbL9BrLVUUQd+P2MfLEsSa29HNtH3I47lJ+VyZGyEcjSzAiMMQNezIBtNiqeBUz1e0lQ/UEngky38HvWQA/QU/FJt2XrjCc5O4xIzblB0IXrq/3hGilmtgwg4JnQ7gwxsmeoE3JPtXpD8l+3XQvho+Vz+9t/boph8cW3LivmVkSj4a4aBbFLtjAO2Ofey/4wlp4LX7S1edympTnSSvKjhis49Ok0ZT68S+EiOQ5XHj5DlwjCrzBp9l9aJLQywQA1PkUnHrNRbdpSsFD/7wIfE8BeUAKPd/0fk2M9WC5satePFG0oBxgrjMWht9u/pmC3upWi8zwWA0tT94MNDfh1YIlsTbUNElxsUVEdFxDBM2aaHQrfyhi3tUxYOkcXTaCCAF3fFbkIikuuuf1exkmG8XnAi7+e+M1aAuO1mhpL4X7HMuzM2A8ouXj3PewiAhzFn6LtgnjEMQSMZRyMh89jbnK8Vzc3t09s3edtJHXf7GpSmeJT7PBLC+UAJGME9SOgXwxyhPJlHic401bXwrN9bo0CdrMd5BGcBupVkkmzRZAwdlbfCQS8lpzsqInThT89L97qWMQymu2GQBEMaDkpoZibqrCzUbY8fz62t1l/WDg4SGP27nlfeVP6XbABmeoviJMfDgwrsm0ANR+NWIibYzVnPQ1/Kt1GBF3fx0wnQyM/M/rz4xkufGD71Y//rpw/DEp/SBB1VpfZfuE34USuEhWxZbt16OmpPBMiap+vijYu3VBUviplxMwPMmFYBnjBWubyDgFmdN1NNzmpF1CsbAaC6gI+cfHe03jVLpbB7OqEGZZFQBHRp/oIg5tWOm5KaNiMq2+yp5bdSyM7HIiaRl45DNFWzRxoIvmLLOjdf15e4ssh08rZFjpc5VtcoBhD3SrUIzKyh1WhAsuVoG5j3cI3NfjqKvW8W/YJfPrpWoOZpA7w6uJyhWk3qzhi1fO24yoTZNr+uFYjMCdGTz8LhKQIp2G7ThGYbtvKxqbFeycfvuxNnjva0ztYCCPcz3j/CvLZMX3Qtmqqw3gaNKJJ4TvGaZb8hDv7rL6FaxqwXNmknWqqeVCxg5mjQsYkY+iDNLWD4yeMm/XF49Fp2JqNtubly9hHlZZtnpVRBAbvxm7VDkVlSbtORKnxYfGzzIE5570DaM2zCcZM/nMUsbc9lPkn/RRKf8zyBJ5ZCyEjy/MccnfAbxEPf4m1yb8rPTf3JnjK3VdOinacm/Aooq3NSy/g59+8Xe2PVnJ51l1mJIsr/EnfJmjfJ0sxqvTZQw4RK8xC9YSogXJTOn5tw9eGzH56m6nX3r+PwPMhbyvHpZAip4iL6Acjp23vOWesGOwjl3Uyi7hMQI7BBr4gRtRq4i95XKWU7jHLqdWACZ4ZAhQfrFmRK8CSZnwihf8idE5VkZE1mWzGrzOFgJdodN2ynnSUn9UTdBu4Yl8Cz7zKKblJE3cL6R5PM9A2GORNrddlAzi/JAt8zOfXEFbizy5RvrwVwOO59FTpFYyHMfMk8pVvWLNDyGPV1FcFr6IbkiBbwlxrQSdzqHi09GAitaYTCbgnAvzC7KW+6NIYrz/UNTzPvzNdpUTYXl3yexLtaC6PTK5H6XMgO4fAjCHqIbsfmXYJU32S4wr/rU1jxVzb1KplQM0/7xdC1p4dfKyqwFzk0eIw6FEPifbSQIa79k5tlfrfxHIb8hF8tndx712Jnc8wIgVx+4w5f674Ay9z/pYipZ/m/K8cNLGB9ihKyZPHsYaY1WjL2cfubSqsd82yYK76UHlxP4R/m7K4e/WYqoXBraJeYpe1EYaehw9Po1lNzUK9KHWtMITEVTxaKIFbzI2uxnVF2feAWCgOebNWpagwClEf3jvPnyMGxR4HhgKqn6Yb2TkKgbIJbEzqX2FPEc9TNzaftD2YkImTJGLngVlbYb11ZK1fTmJCi2yVjdzll9T6Ok9zn7Q/ZAaVRJvcT7I+FcyL3e8vLWOrWyl/S8XcvDs17cMeDb5ekhSGjBm01ynczA6zrFCK+C8WWmGLEBhXl///WM+bKyKTKFXln8a9Gzs51de3T4tGPJLQxjKDSFCxQH++2dbT/2w7+VHmHKTTRrg3ZJSEZRAJEGlnRAxFqffjxIi/TEOi2WMQqpJViMksHKg1rjf2ZafcCSNepylkxXakLqTj4lSS7txDyrUTMaDV5HnVp+5IDBq7D79feMZ4BaPELTVObig5MvOeKT+XEDOHzrQpULDHkZCfFzPQyRdVAP2913joTK4pWS2LN1SF6VKzXnVK+L0YDL9HFu8cy+tMzizhrivJrJF56zNIZlJyFZBEgFRW5Fk2qvWI5L7SifuWANQBMT0hJrIbLUwdMbaK5oboZdEjdoahzCQmJgBqqIctpQGpf4GqPmZ+uB3vqCmyReIQABSJb1dN4bVgl87w7m0FDFfxbbjJRR1zgmBsqp6XjEfU9YcR/XdSMSuch9R9CXcSUMak5fnDyunHFjeTDx1qRgrDhMefnoAUwGXGNevt2wm0XR/Xy1HlC8IKXL8ZWK9nbqbSeEuXU20R5FhwYJL6kx5QmXr+MFJ3mntOCkDJTuZy7JUmXmygF+rKjTd/LHsWfAODt5H2anfC23mv17SG8OO8RLt01fl72uwJlsM4+IPsqqbDKSaA+BQLkXuvSdHo7qP8AzaV95CNViV6VuFder+NLteWRJri8n9LwkRte4xaZibwFAisGnmsc7KdwyBneE+JxdoloN22N5IVvLA5SvnR1DqNCXdkRG2PVAW4NkNK8eKtA9RmJ4Jw8eREbEydQiUZiRVXnC5FJSWcyxKFzIuWcACFZbgMoZ4/hKEt2RE+vVshQXHRELZU+O1wAuXjeTF5aQawOjyodWLJ01JstpHqHcJJXumsZs4unBDYLl3b64S1dn/SJn5ngzS5uXQIb1a2p983vsbfHr1Y49GgOUnczbXFZaHlvt6B22r0DOYoIngSQsnSh8TLKODw2xRIUc3gvi0QICLGU1OAvVZE+WlTG9K6rmlOaf8+40gQ/abRUG8gSQBHc6jffEQmngt8kyCy24wMiBKq8gcKpEWWh1hgS255QF3MvmnLsX38ZwkA9xnhCkOa8LZivQeuRWyCf8SWo227atfvd+ND9CnPaCJBfHPB5jN7n5ghZxSEhaFBdAzFvIxTLoDOMyYv2qdMNyfPeQ6IShKTon6xRVpmhZpGVx9eJTfeLc3ljMSlP1oBnJkTzud/8RQQD9SmxOt7GdUPx65w6SXpaIZIzz869fvDe8r9LuTwIqUTWYtDDf1TGlu5yAcrZHSQART+rACIDHMAkQeB7hKTpK324B0mWIJXlnw+KmZz6g6ICm2nzpLiRGx1h1O1l6z8cGg1iowDF5546jtWsAM8JAo7LUmgfftv7SE1jYR2c+Kr93mLbrNvAWTzSofP50ZfOHBLw1N0VcFv2EhHQ85GVHXiEm82PcOpyeiXbntZCJBS5fJnKQmUi39oClbZz1YJ7F79M/08oiQfn6i+JfxzILIjO5Kb2xPP89rHgPEZ5CiDOfxFj9AJ0W9JPtsIeETdMrsInbbpZU7n96SSWiYL3EmWw2KXMXEenVIEcRfAGzlSz8ODAeCpymc65keGOIeGjvao8r0mgjYgehLmQKfVTMceZ+BM2PQfeZEUCqHUvcwwYiv4WRhbgaku4HIJeWT3qBOn02CSVx7+zTgPTHnIMZwgErtfQ2ZrloFoEEGyOzsWHdyNT18EFhGQ+OVGgVMrXORbpGa9BkxgsDT/KzhAS+qXcvIVmvBiNPqUr0Gl6Dr6YAH5bsJwFQ7PWf8pev/GUORSa6c+QPW9neu1yddC5/HL2n8sYKkMZpTHmkXSj0TqXJkY4LXUqAbXkkTeRWvRqAKh1jV5KSJkn9izSLNOfPGlA8vSB7eAF3zzEJUN94gOulHiPycVXtifSFbCkdQJl19J5HgOfwzljqw6lOySAiUfWofP/mxiuzyHsczrPYHBj+QjItcq41dVF20CC9rWIlMrUPK7LcnXWkhKUj5Rrl/P61+qAVPtySXZx5nX1ccCEtaQ0lBdXGuRbQqCJzk73Krp84XdamEEQozASd/jgXO5hcqMTjkpPzadFXXnZli7xU+NNISS5GY3psnAg+kZ8m1zd+AkX+Nl3RbAqmDKo4Q9xGUfKjIKpoPK4NgGN27J3ysBIaJhFxzSZtpopHa1yIhBd7aByHRWJxAZ4jFsOr0EIWC9cIKYZdvJVSsmAzaljq6hquCLeivRXzbVLv9rEXWBJPmMyJHi1/zgvyVSVSxjXm7oKiEjC93H/+dWiIlT0NKcVyjWj6RMZgtkwLTNT0KJu2TFsO6yyklkwkkzTWVtN/TjJ9xzQO67I0aEkxInNyxbpSydBmyTMUaOIv74cswIdKAhkUA06+jRJwPH3JlFjiFfm+zM7eDzGFD/ZEnOxU0GkGmyIfjTUgHfL3dfZDXQ631KZ3hOqsIC0KA0YXBZIrOBXX+R5vLazDLlQUmeOwtubQ6lXbDAghPcDC3+8Uf5wmjnCu5VnUkEg56rjHSV+/Sl1zsh14bqgb6P6VdYK7vkE8JlSadPICmvO3J7RJT8NtfKtwqmv2bOQ+zqg4gICV/dQpc6Zs2gac44iMg0nMzZsxMF16mzi9vd3CJGtv4d1ckz97z22DtjGW4cEMhwmTK5ObbeuNfCuCpLVA1v6QmPTHv1DgBVpzRO5TCqXCOMWQN6HS0btTVSzMjtaXKOGEiAp/S35j9hhYT2oCNmtK5GMCoZLINmb96VDRV85aDvcuUOwVpbVNytY47JC/HUixXbVwuFFGVsISOsIbkNkdOzIeS/o2T5bZDbB+TxBrPJWZj6+yzS1w20W0jTI56lfBv/l2wZsdMunr3hc9t8opjFNnSQ6Ocd0+PmQb3chWrQa7BXAulyWPXb0Cd+8uCAlWyA4XO7NwX+F1xyhwDCf/qzVbHl465NhTpoi+iw//5zlhfjf6ssQcHNnCuZrMOsOwYhgPNp/GKsqzsVVYoByU1g5c4Po1aVFzz8iTvC5CZh7Zf22dLvLy9hvj3pbU4u8HDm20Nc9NT+H2Qr2WWGqSo+CIS9LbgPmwMdlIPK4aXxFa/bd2Chm+SZd4GDtRYqMDNRBmOFeyvbgnMV6up41jgQmBZPelkdaPW83yOl6tKZ3PSIr0zFIlmE1nnAkM/omL6avQ2N5LiafIvXcKRMF7rwzx671ySV7fpABnhuqh4rHfoJUODrGmsxASpdNI8+uUIjICgGzwP23BMYERqCanbTjyUg4J8jobusParIOxinT6MbmaCqYfSUiuSSnOyPijVZ2CDJSQf3I6arjxS1srXaT0oi3S7JYQ7BqvZ/xLSctywjlA2r4FM5DWzdgz8KiyVQmtxanBnt9T5flSggjHk7IKip6OWTiFdBOA9mweK8UhJr+yRSLpIoGq1dsGUGE/1HciePBAIOKD9s8qoxgZYmnZLIiQTZ1AdO+HjhyvSBchr3yX+kSKbCK+Eu3ckosvm6D9MKsioWS8ROAi30E9YsYel3spudenSivuTdQViqFlumgUdwvnedve49kHZz/jfcxXrxgLIiC4nMaD97NNotF/Rfdfq79rgxjWC1o5HoseYVHZsCXpcDTvdReJkmF1b3+h0ySgdF3Sua83cOuGqpngVOGawbYcTXRfOuelkWIGJ16ZcvjQ8I6ehZLVrNJPJ/7FTdPNB/jqUdzRgzNClFqtq1/rhFTyZELurpSc039jdzIz0meysd3a0Hbau+k5w4lkN5D+dyUxL5zyLdM7QzEm/m0StseczUwFhS6zoQuG8oF/XgcB5ftYrPe4tVmDGOr0z8lZD0XnW5d82+puJRyjGodbPA65NOM/ofGl5XdBCl97VGp7/AmNc6l7Lzwuew+NPl9QUa8NijNZ5FbEGilTVkfxsulVREsIvKnSMjXrAGbii7bSrvuBStumZf/dfI0PG+Q3t9VNEjZbNj2Dd+Mc8nWz7JqgLpnY+apHZivSBpIwl7qbczfkoyiQN+5p0kQo7KdFTI7eWM7FL/9XtOL5wuLOY4pQRcmVZFnH6TXhb7L7bbfP9jTTJYGqcLZ2UJkshcXOi+Ou7CMMF/U6dLDtBFVhGfpuQfU97HXpSiezPV74c07hvJn4so9lf0McV+WpQxJn08VUsjEYDrr8OhIt39u9u5Xz+ne+O5cEpf9t273h5LGZFQqL/jt1ApUGAZ0DPF0bXDR9QL3MIk5m/wd85KpQUplM+pmq2BD0MnwrchKQakopFt3hy1DcKxB4fiLVBWXjM/swffSoO/wx5E3S2BSydE9D+IaBrF4zVOIm+m8uAhFO+vfNBxBDH1rAIu/hDajylk90NxIb/4HpRkgSR/aAZEMBkdDyjk0V83CfviLzoDk/F6anLhx8BIB/vCO11cddY9OlaPbXMWCpWWtM9l+w6EE3EdPrQO4fLYHiQ6/ctcGjzSJqOcsujvfVrWFPXbZpyotDTXTcc0eCvpYpHIoYQ76U2081/+CwNkcfJReFuZXonO2wkniLuYm0G0n8VMSssAxuT7bRddf4EwzKkgN+oPv71x6VsDwyFWGXCCKsjOdBHKdcgmt0rva6FwuG7pzFYPpw0POicw8tPIHbCB0FcFEAJ0eKjfBvmephea/tTP8aLXM8qcFZ9Gz2QUPViDxlRYqdwczMNIskYikZwG+FLErmiNU9OkbmZixWVJ+Vue7OfmImhVCLD0pQkAixbo6CbvcncAzsD+SaJdY+yG8Axb+qAULXPuwT/nPQyMaTqk61+x73RA7/dE4/joCQVWx3gMCBMZCy/WN6+vH+V+7c98pYse3M+7egaB+KRUjoE1TwWy7x2i2LzZtuNNqlZ18Tatef3TNbbmA2l2beSvXNox7z75iaLNep644Hqf81zsaGeSPPwYhzTYZDXNmkxO8FBtiFiFWmx1n9CQ/3NZGxp1EU04tMrYHpyNgCghUPZNU0BoAaQpbA8xw24AYUwxSjXVFuvlvxuTZXzz4Qbv3zYgWlyfSGKGi8Oxfvgo18b/so04+jYZg4tC25imZxjGKUU+HMgAOGaSmz4MLg/dsNf4KKRiRc2VRZ/PzLE0wplGpDWlSV53aneds+vspYTm/SXI67K6qQrf8+qPauyEsWzzvzbGg/7hMrq4vB1lwWyjYiw4Vnph9a0GbnAruuOt1OroRD73Mz4qKuQejZE+mQdiYedXo4OT6+HcvKV99c50vGwetCHSEe2J+rYx5x8qmfLVVYcs4uPB1ybVNRyeKPWWYm8ce3y6nGevBh4DtViSyytPFk5Nt+s2FAmJPiRmVOmI2yhzZ947E1uUWxo5IfmsEHy0MgJ7yibvwNswaNitMEThAJdcoEv1jIDCu6lVKlh2txWZIi3hKKM2wL4KM6dEq3nYpRbdrtwRj83/Mr1a+naVv1/jbdLLiK7na3Hw+cRvhXff6/3ZU+37jOe1V44lCrlEyMFLNWZDnAwgeVkCquoJUwm4GwD3AWvhEA5GY1WegEJkCdZb7zGNZpLWPDeUJZjH9235OBud865zTyK/zveOqBWn5HPUw3j1lweXk9WebmCJu31MC7kNTGKS66BukP0nW5Tj3xoGMHQmtkCeOXqalIrikgSOdFRlAT/tiA7VkMHcfrFbIKnro6OFb4WpN5Ni2wjamJ7UqACp2dXo/bE9UzHZZdiHP0cSopSU5NBUdJtAPYIQk/gACnPaD81QKmRxatPdelmmxZFJheBKyV6qc+TR4BfT11ROf/WiZpUlWZMPPljko82gzyrivH5i2IklsCo6asNTLhXyMXEcAR0tOj9MqFRuktsZqQTnjSpUxWoiXMo07QQmIhRWT7VHFQ1nw15Vin9GmZVf9AVP4gEzLH8qxNjJxkcqIdUFgOJG5JwkRAe4FKcFW6lVFjDjEge5s652w7B/1DwvsgVcJkJtUK+zejuUXcHx9qfSp8Kp+4F58vky0VAO/l3ApJw0AeQIuH1YpYubjzShN0C+JPDJAJBmHJA1pliaDkDFf7kbJRWehmpJweKglUghNRTuMCdRMJqHbB/7KQjyu/JW+hhJyLvY8YV4M5hgz2GWwAUHKstYAT1N4PUHNijkDlX/+gQq82rR3ErxGZj62VFcBk1R1KrTonblVxusLoYwEDnsdfptK1uval5rMu1rNIaoaNt/W407lqB2ODMJpfSxaYrG1rm9vYNjFA0u8l7iWTlawaZT6HxTBrDWMndrsJrVug6LxcxbrlsjwSoIT9j1MRCa5kBVLI9ha5p72doCvrvmRkQcXGKuGCbvcyrweWbPB7uihgWpqvNj0vtkkxvupPC3gnU6cY3htEIfgwkFe2O8u7yRRiJLwAE+08o9a7C4bCXezkthMZ0EKEDNKEsozfzkj1C3SA+KV/3KVrsXTYA6jrT5umetH0FP4c+YFsxv4+uB3Yz9RrG04fk8ksd2t1alSb7pCToVWtLkn7G/vblK4zM9tx6bvzEEN3xXfTLCo3PCDcv9HQQ5maCldHHmxg8Jfnt37Md46dOLKdCgTV2YGpHQNvhXt4BeYGvyUCJwIGHZlxKSiiABBJdj25FZD0UQoIXHWcEkDehQ6EiOznh5cuZ7ebouEWDBLVXvmknPiEhHTFKczR6Xp1ShCXjcsk6Wk2WyaXlovP1s0RUOY2TNsh/RT5rFe89u4JBU9aYJptuabW+Gd5UCQzV70jT2q541vrfTmPu+lkdn6YYpLQDefTxFL3GEJpetEMvwnCOnIK39TI2J8mhcyP3GAojghSogxVOe15WKe8YFqzZtzFui6JRfTmIFE7ubrzkyS3IWhPJ3I8ayEbNWfy/huo3CD7WZlekBoXOftlJPrD7gU7y8BpVsbzIqJJz4xPwXQOChKJ7CMBLRM2Lh5CYf4SxZnEsWNToRuTwmCRDl10YLPQz9ZZKxH1CbDya7kuNr53iKGzJifWZ8KU22p7EVYIsT8LyCCzefaM+W9L3U50glPlVPCHSHlG2LIgl0UrCUAXfOVHTT1HbykW0J2aQSDlKC8innlXaT5nH/sWtKbLEg8OqE+/77lLZPTt1Exv9QAL5Atqu5ee1JdiXwD2VNrRzSCk01Jb95ySVajGXYJWpvG9sYdtXG9SgwJBGDCyhIde/ONOCxo/Y+BoBkQQqzNczzdmeje19NYL63oel2LAhYGqDzAI+BrZu2HKxSKkffSupmAat8eWUg2qufNkaifLxrwwox0fBN7RGwyDPRa9mxpRHmyWLwAi58+HZSI4xaNTl2bDxmS5NtFLurmmSI03i+jDfUYr6aHRIN581niN+JCeu8o6kH8mK6xfmGY9+TNU6UDDslHfvNbl2ichDOvF0ZMr1CuiIoK695MdM0qVDNJDq90Y3CO2PTyWH12f2Vl06gSUXAAMub4lPEeCGTdkC/GEk9aHZkgolmbTQcVZR5aqmjBHTpDUJGsdZ5eQZL8agNIg4eeTtQRFTrYzoZNLzyUkG8C4GaZupDYHubZ2vw4+3EDq7RMTBLZKd72INVM41NZPJkvL0rtlzhVrHYC3k4v40NThp+x+C5cum1YzsIoOofvj+m90PNnq72rS8r6s2GLZteoJwpioym4KG8ucnEnnbg1UKnQCt6YJhesj3qrV60jlfZdqpx5Y2/bC51vuczBcVfvEXsSmeKmmFzegoeA3A1obKjlFwB4vPSbtkfXCKErTlx6U+aqtHJqoHS5YDZ00amfj1DxXnxQBJ5zy9LFKQ4sy+YXbpmKzYd5I10JlQwB8tm1f5tXrlYMcJYdeiIo5Y1NT5UIhG9tATKMVOFFii7ivrPetE7Nkz7/HbxIVwFdXSdtsPvEBKBdt78r789Fbe6G92KFvn2P6tGFdHXqLWl9hOHxwhskIoaWy0nrfL/AOwURsl/W+t5fGj3X+Miu6n4L8QI30b9JFEQqI57OvVVNSlF9AmE28hcfw89xG8LvsX4lKyslEMPAmgtjk2kkSuU9BJqe/2SY3lMNVBA6FRiLw930ZCXVpHpw0oICmzloYLdUrTt4KbThUl3SIwhTrG1u0hkjxCgEVCWU5CtYFioX3FQmg6DnySx7+1xPvsiH0g6D5VePM6D+O7ND7+xBNyG5xwRc9N/QNX5oBQtG/NWB+7fyp/ly23ECJsmijB1REgvYbB1gWBzjRRDRBs07hYHVOkQBSoWfVOyhy9dsZPxGZyHpzYwlOJlxtufYeHfr3MPnJhe2jrUIM8BxUHrwJLbjs35Aym3dz5KXlVVexVjeM+S5cPuxB32mokApO4Wjg1fPho4LScivfars0VN5U0ASyh9DCxp8RwZXx0PET6GHx26nrcVX+gC1Qk07ub+LTanpDpjAPKYbnlPO3BLX8bpLhp6c/AfK824acxSWi9d4gEwL0vGrNRvMzHElfbOqAgsfvOAwa/pzq43SCNq++3BFhAcEfY3mwyMzPCLvtkcRznj67GVcDfzxsS7q/ndlgQD1O3zTujKBFZUqG+pyM4yU63oI4iz9Abnr3aDx071ZgaHMU4NlJDRINsmw9DzdHfxhgvkFlUAQdxIaIrF60wL/lK3M1d79NkFan5rubLQUoFm2ytFY2V1m3U8alztMtaRvhSqHtpheD7pY/3scAaZFNhvPcKBbtoEuYE6Xj/nsJvkm4chJxoZCmk+JBXXSSB3+CAj8TxJtFafxttgL82C0LApLGuYKLpxN6K7clFUT1dpXyouJL+CI9SKpkqEVkc0Zrqqqoeyord/37ZdvZoZCRHj8abgryy11vFOX/V+GkWiogV/TDyLV+tg9tGjz+mj4pp1hOVdUFo+E+TOhAYuoeeW1lbc+yrKBjbVwrM0mp3hLkrljhUkt7he+6ys4U8/hkb9+jp1pgPxZ2jUgQTCIV2RuHT7o1IelQ9SN2rzgeemhaVEdSO+DJqgeXR3KU0JilA2lJJnGFLl5jIbIN/lS1rVJ+mjJ8gycT+CiAZ/MXOdXhXHnaJJyCAVONZzJa9HxtIGQicnpUaVqywJEX6fZGWrdBofBCC52PPsjj3y3apPykyQJl1/jiqhjFN+HlsV7XHTJC52Lw2T+WOVMB9L31Z39SYl4tcMSD5ouBedcs92qjPQA1VOmhIlV6IHdPlf2Vn9eUhWScXoAYI/7c4diKp00+wUaHJlz7S9zEl4weWwtC+231k9ZC/0IVolC8BT8ua/tb9f9sw3ouyMQ8E3PYbTNrTWqzNpuIPmtFYiu9oO2ZpMYkrDTd6BsvQUzIV0LoQ3x5uvhGS+L14kN6kbpRlKWD9QvVqSd/ebr0YLUv/0GT89Orxehimh7ZAMvwA47IyWJWd4LskfFqUfZceHL2sxM+7aEfB0I0LVYQASRSFI5QESZabWQ6bbccOdSYjXMXKT0kNgSPdN91GI2QvnUdNHSeZQWpG9G/7ftGhNoRe16RZmf2I+ywtWyRbTP1LMQE556T64wDyo6ocHqWfIdSYqOR9RvyHYXSFBeDjqE9K4iXBQN+erRZDb/V683XouKValb+1zr4c7vjieku3ZeMzkFuRGFB3EQ0lHwZAl6kXUK4O+Dctb5IIyg3siRpM6mo+HVWHyTWtxOPOTXrv6O/Q3Hr3EvKt0e3hf7h8uA/WA9pEtunSXb/t2F5IX7XWpUHvsqpg/XLCNiL4Tq7PztxcG0xWAF+2j9blnQK/RuygvwmAeWxW3RuHoSRplidjllTsSH9NhqFbnpGJzT72ARLmy0MQGVvvsv3xBvRaTcbkvldgXIkJeazrqT2vL69+ZzjXMyhCcAakVmUQB69dsbRffnF/kRyCpsjkhQXI3d7K7ICGqS2XOCJ0dTpr3ZvgoZ0KScQGqWMJE1KCbAUO+mniTlLeeZmzyFoQAJLkQv4CvuRVvnzc2vIjzLKEb4TdN6sePTFjux39OLAwWRTQT/FkdzQsMFN8FVs/bF0J/kqdkem8Q1QBjysUxNcxlcUAUAgk3/1ajeU7mAooiyN5H37zAkDevBEIbtF4EJT3MuCuLlu8GHaxUc3C1hgt/z1CpiYL79VOehSAr7fv87zw+WpePz1XOiPgv61d8VrdVGmfFhwcKHzj+87q63yj89Uzjgi/H+ShAv2UTTuMGBE0+Bqqk7xhcVb773ckD/8bEXOt1TQGL2GSnerkNYusPdwthBXqP0fZEd3TjY+1HTcd+8g5hUi5uTBH0Sf+0GtF39g9Y6ZP8QXfiTn2hM/wmR2Lo5E5BRdsIervC/2b2w7t98bePqk0vmvlRNUeGVLgbgKEre0Rse0SY3GNScecqnt8m0w406i6oRxsYa/cnq7kfeevT8+Tj9zMwxbwuKYnBrigeoMFbHmcd3Wzuzq7cf1zuCxjBzYA2VNZ67zj4Wur9J8N7+idxZF7JWq41WBur972GeYbqoT3CFvrFY8/pTRNK9/1cUwUXMKGaqapTfWIyT5NmSNCX/YElHtBU6NABKycIrKzY73XppwcsXxO09Uv9idvECXM6KQz7cmIdfudZorOog0m+YghGLT+tHwFLE0GUZZOMlGofUaj9jJqeS0iRDmejkZn5R+oqlDZEIJlPkNv2V4VjbDGY50uG9t0NvA0gVyPf4crtDG9cRzG/5dYdv4NHbpPEMKPWATeyTPuZmzu7BWuw1hO2gjJ0Y++uod1vLDrluNcPWbF1y95bm7ssFeXcwoC17gsgRMDy/0s/y1QrNNVq93kdqIcYUdMrJ8JKCszhx/Cks4dhGiTaNJUmyKv5iBvQdktGZh4aPYScYY4R9+tLv5fL1V1gwGvHq98PceeZplKRwsacS9ajxEgiXjulGW3BG7ipV7gJ1qmHSeLtZTnFjt9mzX7/5Xr9SkG+Dhrk9MIj1T1uq/Dp/h7R0V5B82kSGGZSXBVLGhyT9mcVNVllvgf5dWz5UE2mAiekvRSu0kTxoMp/66RiJ9n+AeYEhjn6TpDqAWK7ZBwo7+ZruLeq/s3vXLKm67wTIJhKpl6nnlQ7SUlU7gr3Qkf2f3X70cg+/okzvDF6EWNb2lDAbf8BRyChxh1mWE0Wu0xmMOSrivlz+Fg6Pv5XnR/NX+wRbuFHr7XSzh3v7c31dgNn17vHv9EubQdpsdiGGht5i9hWmXCUR/OfQvfyllSCbeGCNQ5pi3pv4B1BQaiH09GOJUG9jmuNyjD5TeXZkeZa4sSG3xivU7uuTesG0kIWZL3iVi5S02P8zM4ol5nEbjTDWrVOind9We2RWbBHNNUscx+Izo2favyXQ+u84/OhoGp/12JLpfm6a5q31rH0m0SFN7jhqENuRgctFxD6N6cgzAe8lnMR+TrSYEUezZyJGbM7zv0ix73mSi/dD/g+IfQ/jTiGd8RdD9VvbDVZ6XHGeCfuhPGpm7aKXzKRXgKvsC/176bL3L3JPjY/MQXTN2NC1i3opWwN6EIkmqFdQqYVJb8qx2MvM2GEbnX/QQD3V9C66ZN+tf8vmSdidxvqWxyn95YHx4xyyGNXKe5K9q80+MX9Y2/Pj43KHpDniclswD+CC88t7325XAnAcmppAQw8IVx06Ytx+AC2EABHgcts9LgoSY9sDDO0zaPO0GjWgtPQ4aW2g2rI4fXFGc+PtQsez7zWyoPeeoTfysQflOXQP/JcrCXz3OTcEG5H3BWUbyapSDQNV7woI/CIjKJrd0Jit3bIuzPnUfeuimeyJdiM6G/6gZXy0/AY6jV9/sZNpPSZs2y0SH3lpMNu30M4ij3bxV8mc36Cq5n4tHreXw2sFoufnXO2RxIEl02296rXpFmxpl+XMyf0bhTBQpJODuhcv08JIJWpLuW/XsM021pio52f0MMFx2Lh7x3FAhzNt/8ofaXJKu+VR2obBHnu06Pyq/2OigGfXn2/Ktem77mh9onK6n/kytH/wuuinjIg9NNS2/7Ps2C5T2zcv8gbOkwIvqunMAjXRQztt9Byp8o/nw7b3/X6LcQ2lIaCfAYYcP6462jh+6PLGZSu1ZHTApq2Ei5stgw5fv7jYcouNjzAM10dns31Ot6R52b3fl+cXvYBxIZmtcOiP2QcYCKRGPPrN+KxmGC8xX+h3ea7kxhnJV0gMHKVwsdT69anKpkiRxBfd+c7tR+JKBvNr/7hqnrg1NuGRAUciYSl0xSgTO46cJnnmYxqsgjSe5+73ioHK8HwmlwKKQsJFCjZLngAP4GmJJ0jlHjTkPw+YbfadQd9OvoAaGlOgnO522GXVE+RDBR+EQ7fbbKBrlAqWODrubYfj+CkiszUNI685+WT0ENPl2o5/zh7+/iw/SS88w7UaR7Mx6oHqM31+atRc4DtOc08PWHhOGmfTbRFBxh8DDJeexOTKe37cRr35m3COwvGHaq35oH95+dQNOc7htcCM+LbddAw2wMm//Dgg4WBt5+/to1dh7XgYEcPDlgm0U4Vfxvl3lNIDlz/iJgJoq+yRPHuf9LZF83CW9ec+xetLjctkgePWxylcb78NsAVXCrK6zUqLV+b/Bf7VubDeqERa/M7LsHdMxDP3RrFZBo//bqIns7VoBdiwI90duZ/1Inh6uG5Ng40agVY5wO1KTlTFYxRyNvXmUZ2yl/9fpzTCsvnQlI2F3AuO00N20u8qrgfyzb2SH3uQ4HWq6UgS7dWwV8tFUUrnbO93qu9HCbkbT1ssXyT8ltTZ2vjmYt04Z/kk9WpEnhX3Vc7dwX7HOyKeQBHzqCju6511jaI+Bejw6kYnAGh7u0jOXpIeNEOLPFKXuft2qCyboZ84VELe0rbqjUFcVkHBCCVbOVOunRFchujCpLfdl+2DO6f2nSVr2NCaqNohr3PAJwR2TcaV4OAvTRngHo6e+3vQIupA+FF5aosbxVV0bMKXcS34u0MKYa2OA6Yj4kmTjQWzhRU9cCAe0VTQ019+bq06E0ryuAbW90gDzY7O3xdTg1yYYfZHDx2gndsC0GW8N34zn3Sk98W4WsZMtKcT2MEjGacY18n91DdN2fCBTppF8t5buZgckvOU3C49eG1EgpqFwgx4vfEKCsl3Ikj4HGtbBgx4CpqpWwUG8ips8xZ4baRxFtsQSWYVG/v6lJmRIexvJexpdNge7XI5Hu2ReWC1BlXeie7MXvtI4d08Y3nwq3fsLkKWqz8Q8JpV0tC2piaOUjk3L2m38AFvF2qatU2mB/Sp8Z6pn7a3ECS454L4hDe+gSnGx+Lz3MuNiEZMD/9ToVS8cvA2nencon6dY/Oa0IIxU29QPR/UVm8Dbp1TtG+tQqrwMqqwUM8nEzhb1YrMkbs4rIgNizJH6lkpDwmsJxaOTMvoSlP6a/hfwiCRJ+he+Or2BRtuFNIA5RACG9kD/OhVuRbL0ESi9gzX4R1Uc2nvYQRb5xhRuU8l5Zyluwx/ttOClVvKMiOOwNppv/tla9HQla7ZkMPjCAWye8zjzelMUtUhnbW48+ZAT8Q8EwNOvZrMRlduF7Y7NbY9vavPAVTV0ST+otuRE+ijEMTohW9nyt4zaQ4tIMnPjYNBxRDBEgtrNv2StzEapJflyHBsKnofQcWtG5CdX+m5tbAqJQd/YxNeJKTG3NqHdJAuz6HW1zQnbarx0hxapOYlpR4QAlN3KM5/jlL00/HmNLZoi6PequD9oYS6SkFebhcurEw6l3VUE5sxrqdQn33Go+wcrmCcJr6qoQKaIJTJKkJWpZweyLweL71TT47VH+yhsxqomJ/bJfvm3bKwl8JdbgMFepIvekHF8UM2bIqNbmwujBQAOMp8U6QEuMuVakhYHhAsYYK5ODVas0nK5WGHCqdUKj33CQxQw6/qMBMoWGNaLxKQxmK5Ulc1VZLMemJt8El1qtmzPMseEy+/UUac6K74K+R/um6+QiXIKQKhanUBqxof/z+UqdEGKBG/M9RCO1NqmRWMytE2Cuvbkb8vCCFK0YxF7sO/9EYpN8l+mN9AlaX50nU2Dnk5RCjBeAoGb6jYKRIQInBJO8CvNCJwKoRpGI37tyrd94z1SXwv4ikeU+Y4GSoH9ccYwUXXwP4XPVTnUF7h4L1x/II3lST9ETHwQTRsrkp5Eufi9aNVYmvQCzbIH3rIYCJ0dyln1943py1/2rMRng/N/DmeakQsY9M1nmlNDeYKIzaSx3oJkERsgjFUQ5/xwpl6Xf7XXDQTdPKSJqlTlX2GJrbubJhDzHecWstaMO3ZGCe5VTA8qxb0qWb4eetqehdiTmP2d+GuOEvVoLknQY9pjNVxWpCu47u7bGOUudX+tcuU4I2TAOsqii+hCeJMpNvjE5teV8Aetyu3VBQM7ZAdmmkda2k/JTQGGm1L1XTtaA+uW9Mjx9QRxmEXfCh2jV7tZWNP6TbUlvHw6IVmH6DZGMdWt+xFlTEpPU1i/3PMhf+7HiQp/R4TYdnQOlZ/0cO8GyS+SQLGDSzDLL39CKVqmtkgdsPETKaJHZZ/Dq6NDNxVpnUa8xqsrkTxB8fzpc4ud3/snE9LcKUlurbL09uhril4+d+HJnU9DRDWaNoGPHV33pWrHJw2JAluHIK23+raQjwLJ5qg6rB2HjiIp9p0XMq/oqHhAcg2vJqon8+0MoI8UqUrIL1CG1SP3TakO+E4wrnTmQ1jlvyFzGNrnByLCUvfic78wihTxxDDsd4pHSAbFzb7cg9x3uytPohPu+yc+t4ua0rjuCrQyAslLeLj5Xt3KplzhofsDnhj6vJR373zQNO+HCfZzPg2K95NCSs4/NM37Bfr6xRdPVZ/130M29fyj0LRuxBvXLSJLZZFypMnxyTT1Fub8Q5VJpVM2fQcM6hK3ctb6ehdm4f6si3MskjePnBvUQ6fHo0fTNKgiQ4N7dFlys4kBhxyVlf3pRo9koKDtW5RJCoetVZ72gSbvnev6vPN523fs+BsKCrQr2hsqjS0dlONmg0kcRDczGMeDKpefPDx+r49H1jbqA0FfrxdaUa7v8Vyhy/HImdpb002MDcAr80RwevtRqI9YKsWsDJhrQbnDs9ePLOHluEX0MscTpydDJh/oTALk5TaTtuN3ea/PgpdTVp4DLtkhmXjFFyHuD0UavOt/QizETHOxJhYe527Eg8ejlDlAg+n3DtKx70GVIU+Ve8HfjqVJ2W8/5cPBxFilj01kvoHlJyH/D4xDhQXl7bTnYoNh4gT2lBjdtZ2wGIenMikoIXzN+5SRWYbjLhY+3DEX3je+OAKaHq85FWZGSa6eO7ZZdxDG07y/P24Q7zCjmLKRN5TxTbeKJ0aqHBqSVyNdtIeRmeo6KjI9xHpGXBSHwHHgMIowm9FbtoUUNrNk1XYQBtkasJYSg70ewoNoIHXKF0II6YhM7h6ZDoAj7Jz5KRddW3PHv0Ojo9h2KJjeIVjWJPC6VohZmuQ51ARdYLsnW10pfX2QfB0O2z7Z4p18ldA/OE8n7tcC9xyPpMrhvYjYZ9vEJl61Eaq7AYY7zwU0meObSNYMdJPLTESRxdH9fN3g2vmYsnBItxxBt3MnDf/0/csb/sd/1YqYer8hZuE3erI6ZohDlCk9RQ1tqS1djQ2pEZ8l9348WCKgdi42irN6MJQ9zDOdzl7rUgMfNZhM9QeLDt6SjNAYKd1rQg5OAWHjl664MJXZ2HmZo8mQhdfrc9jnjWJZ5TyS0mzs+rniHG4eH3c/lqHvY5eqUu92YF8hwd8eb7+QLFnHC51yGRgaiMWznfoXZ/qZhicsfFznTd+3ECxnh3FwYYDzViYjNfZr+3gUG8bejIAEWXb31hfavcvEgjZWZsVvQdtwB8uQq/2VyHjHInM0zjwBD6aErODBYfVlOEF0coBDXVXSVNYNxyVNQrLvigEoB0+wasOx2s4nk0ZH5w/CecvHR2zNkCOz/61eeJaYi73jMb5kze/VY2fxfq7+GZ98e2Onct+qU+0vg73PTUl0vK8fq3TcNtfvRqvb5CK3lnOealK6G6j+J6gy7F1EU36kNIk3jbrKKRRQLKiLQGXSDDR3BowyFp2yT7dgm7cMwI9SbkdCD8MSLixiTVcacrAT4Ahx+NMNMTju/0suw8NznzPPbhhc62ukPfbkOYbX0NKass3ubhidVK57+Kviby9ff2B/ZGcgdSnO/g8txzIkoekVqHr2/WL+wdBhlCa1CCCIqyUSPmK1JlrIYHeqVVicg4lgvCamD503lkTPZzWi4Znx0AV3MgE3NnklGb/8naOadIC9m9y2ZczcSwaFmw6J+eU5OT1sFtsn4S1HMoYwfqGHqIed6aCNgPwHU/Fn4HiBzF2orovrHe/SenCP3uJx+6X3X+fGsToRJqM7OOI0Bm/n/m657bC9IR8aYt0MRpyIkWgm04oXfBmEIm+BNwcpM9FlRq5YnsUj8NfCcFEw+aFbLr8Od1gxhM9WgWFefiT4Jw3WlDmB6NCw8sa4Cz7qXsZu0SI9AAFgO7Vr/QGXghKepOXuxyvdho60Q27du78XYOoqHWfJf5ybXxXaoSMNZ11mjU/8xvjF0LpUpuXbjJC/4UwUk7fPk3Z9Vn3BMZSLJja8kwH23zBe/jNVaXvw6w/lMCwRgftw7X6cAvaPkz50oiK2Bt5wzc9QVa/n+Z3eynm4Up7KfyruT8yS34mtfEFuOXoolxMOyiaZpe3/SM+cHgH6tOP/JUPn1gWSMRDEieKxTDxjM0GehXOKSrgaW0SZV+I8pXini3ANXxWQ+MRpZyof8wLG+jnh6zrv5Xc6+nfii9MRM+lHrjnIJEQMnIngvxaZiVuQLB3hhsDJPxUe6eZA2Ntef6yHxKOAw9kSX/D7grkzsXsvquqviBqMXe4jIgqqR284Xk4z442d1HswYdcfEBWNeIrbUOWRRRg6vPZSzVsdg3048wYcOh7WsLWDTsSZD86Ge7iY1bYAnglzc1lICKWyga/3dTDcDgTU4uSH3ohl2ZZgACFauNccry4ZieJ/zry7188zCf40gxUdWh6TbFP8oIz3LkWnCW2bVNYP5PN8wYr9mYOZbafd9KstiXvydL0Q4mf6E6mZJ6nv8XCVchzKbG2b95yVyeVyUK8AbObEdaTrQSgSg/x5ZSr1ji+P2xA2a4DG7HKKyMObNh+OyD0VrQIfwxB1dNB5ST+n/EmV/bkuvkYn+qOlg8+bhzPFmpFWTxyuFnTLFplzEdp9tfwd6bsl6n7atzf4vKTXy+0KW+vWZpxIQnd80oWZH/985zKrdHK1QJf2CGkKtSNjr3DhI7/6fGu/kkbTQS55PKIePZcy3B3XniIi5OKHvq+xNV2tzG/ZXD5u/vXrKfK/NsqbLKjL+i+fFyMFlrhtWSyHozdqBr7BInPs+9QUSr+bg6eb8yZPSjB5nq4niRPH+38mWF6IiUi9MLJUx6vVmWAzjo+ojBupgVlD1CjR06TECe5fB/YwVzUsyEyzrBUUgaHQi3EK9FFEgRvE9EZflviHxVD/EH7gbAoyCNrHNYhmvp4IxZKbr0ZVgSd+dNTu4ZLd9QKu1492kDt7ZSrNOgjFBhWkGGwBC7/q2rIAXcR1enabiMmQMMfO2t7AGPfR1KyK6vNFVjwjn4dbWyuN6IQJE9PTftxekXhAhroxGT2WI9sRDvJl3gGPmCY8828WdluM6+eE43CC4ocaI1gQXoOYX8UfP/8CzIwp+V7pF659kmuFoIDWV+++Qlur/hG481ULCmie1x+sISL25gtPUABp0n/TvTAgYgXS0eJ5l4u7/ASA1TcACPzRW0UuhLwZnHrTqrNvgQEIAX93EtPNraQrSOluswbi7mpa+Goa1k/gQbwLR/Q5j/4Bj67O4l+kuf+lj2nUdHqbIGX7ogWVfN9peR1I362fSpbJEsGloX/Jce5THiyNogUQUPLsNn4bF5PBYDF6TFDvwoRO/mATmt33+aV6P4D+VvYyw4gbxFQ5FWOlPUNy7+yoBYWN4W+ETydy4w/3sUAnpRMcWgCs5sNFW1fAk/AlfH7WxfSzFZE+4nj+kciRqY5YYUejxFtwMN4M68N0wNZ6YtSD1Hr7nTREOFvIF7PCMimHqfDiBTNYN2uwY8bkppZW+G7otnTAxQ0DgaN8T9B2/GDZ3kq6u+vaAEqyOWRhRh4DS4vCGGAdaqdANkhxiLk/aS5DYIsF/jszD1KjBD/yMOrtpesTP5UPlbHB8G6aSRg2YEPrTtRpXjrXAbaJkbwvwupBth23uzHcEE2cu+N7aLgB9Q993TO5nF0Cu2PV4U6inMDSZKew8MGMLo1nTSYrbdPRyssJSEkoOTU8j5rE5bb5YPXPKbPiSih26B1EYsceWknZS6wnBaygCw5eEw+Kmqno+MIQ27cP8O3CM65B3zb6wiHeed+pSNCr8b0OsfABAX6ISR/02zJbCBaql6vlTqgcrEPReo9CaRjcps3pszKEaixJvr4iLRCJawQeb+jhwSGB+0fDN8H4Jrv5i3Zclk9WSagos8zepM4pMFKem8EigiAx+uBuUwVgnh9loNxvTC/xTIYgIbtMFHejNhAj1fev7S49KYrbQw2yDFZYSOJjwkDDjfvt8K5NPA9UotGSv80py6ZGZaDvVwyubbh+bIyoRussPJRI/eO8ct93bRGvrOTF8MX3uioEPsdcfhkmvN8+80W5gyX1ZwwVXk2+w41Nse/Zys1R6JF6TCFLXUWZ8xhlxKKBtrp3FJSJysosbdaMzvD0Nh5vnwI4qtHWPrIGwrOuGNHG/vGQtn+cMNp8pTeywfllrELs3fEIfeaXZIpwy+/Xi1S/k9G2JCTPx6qn2grua3UIbbANoSKLamaYUaqQaRH62aBNVqNpxwkh8oAGnbLhjqMaOKSQDUGS6o1vAxrPVVvXwsMLMBGd9g87IMyX6apTA7P/KVkuV5vOxNhCHLLte7q577R39KRU4B738CIwcW/Gu3D4GAywesPLdLkx4W06C8qV1hDd5BU6hLjL2sxGKJJ5ykBiuvKqpBEDTh1HnrSG9o4Qj4z0Yg3VpUObmuxEJj8MXaTJY6ztGJ6zWvAiKLPVSveE37f0/pgx3afxp+QedYRfs9wLjCiZ+fmvrsJg0OH57z/5L2naH4+/NxeIu+N74IZYBDLx6C8zFS6KX5euwMXascaIghOjJIuagJE4us10F89lp8rgc0oe9IGQ50DYA/V3dSbPtF+0UsqULhyWFA0erhH3LYglvlkt02ktaIboVs6Q0uzpBYuvy5HKSydsSozeH/psI0A0jwqMj78hMnedUq3zbYFXT2y+7RIk4ygEzjBkQ68aP2FREDeObtpWh/EkB40TuCFvPnzkQ2dgKzQSytN9Ph77Pp95SU3/2zZR+Gfd5EIHp0gmJs2ZZqZ8cKT0RLjyobwcB3G7aweSxZVCg0RlhOxPlJI4AdHuO0EvBqsFiaLked0aSh7746lFc3dFB4JHxz5c74OazkJze3p0PB5CCWRpZJAvL1/GUleqZQZqif8DCcIlpvFsfHwr1DEM2vStZWqbQn10ZohwK/hW1KOQyqfIKKxQ/KVHVOoti+nDc3zN9v45A61Y28N7VWVuY/q5IcRk/SqUmc7pilk/E1eKvGwHtxyqahdU8I5v2a2T8dz70gHDNpyxUPdsbMr2tdvPRpSXa0+CD9urTnfJeVXqTIw7D9LO0xmnt93fXKnsCnA6TYKjtGLuholOH2E6AmleFazGQbahal78eddUVmb/SOoJJtDtCt3MEPs8MijBRuRzDZvj1d9x/Ex0auE9DLMPvUM07Vn7oYWdQrVL7fNFiFkNCWx3eidJHbJ13cHY49ggKJ2VooWEYnP9iycTm/5crNL33Q5Jlu6Of2dTq155rfOPbYNCAt5bPAX4UxssnVAjno4DqMjItbplXD7vI/1M7GefV16GAMrUuvXRKhoQQz87ZJPNJHnLj+zWApKvib1VFskL9xwT+sCeBY5SCXvKgV1T92Me+tL+uHj2HIrydr0tJo+TjP08HXNIOX/GElrsV9dN5CAOk2U/1UW/3DAas95hJ5HDdwvpQNK5+cfQElx8hjsFYFWIhjTyy+QBneyvN+sFkdBv/eJzNfo1N/0FlqzlcwuIdWr/nmaXnOHu6Vles1ADk2DtHlVQvd26QJ879MWzGBNW3kcLOJ9yqArFkv55sAbXiBgVgGc7lT2iUgIitl+J/kLD2sghCnMEVeX/F+SUjlRGxcyRD9jmBpMDfVhhwrD29eT2ukBE9u9vCkcHjktvdJN8kHKgsPkmTLPGkpi+NPgdTg67Z6VXZs7u9kJHVHKFcdSPzPFwxPe03TBfcgNhFf8lS4OgXIAnI38a24VHxwzgwaH9oLzp8d/cY2z+r9Kz0DR2fjLL8IVqc/5dSLHzOdlrGfKPbzQa6BBPTa3S9sYuK7PpbXPj3qtIoTtSHL2RNq22/OVS2jeF1nF6dQ0uN+ONv/TWy1TWfs0ixnAl/6oA6e3XAOsWmzQRJmbGkpJRxV5xX89MBC0yKBVkRMU1nhUDMIq7IZdEhUOlu2KRyiI6G0krwl/HPEX1T7TnDE28lk9WXj1WRx0vljyHqEsOIIk7nM8k+iaagNXDvbPxuitAvr50YJvYssQOUG98RzvxO94fQeQ//l1XnM2BbOtRapGoY7juDYbqmQr37dZ1DFwKlWyifVUiETUqAvspqC7MT9edaE/XJE7Z32LBqKONjoiXrDsIhKWVPXV+vMHAis/OUAYNRlwvxcx1NuplLdanOiqWl+06nwVeMYU9f/G5Csh2pwiu9AxC2GFBIpHuAgcFf3gMFwQtd+NdDMtrnDMR5gKGh7z6F4clk2c40b/kGdFL0e0vzKD4gD9/Q1yWqEMzTsI1b5d4YessVUP2VSGqG4m9keb7A4bJ+IBUmwgJ5KtGYjVgnI6rcfZMi/9Lmav0S1SW3RIsvR5pY/touiIWD/++/CgbC+NqnG1uPqcNy5sVWmiURbcHi/PjEjFcBimXSiPe7WGYjFzBYE2YMT7mDbPma9HhdRcsWT8lHTUoyuigcB/jbWrXTVSkYTpYceYhBoGwF8NzVQtmqq26B312KxaVABEM5lvoZ/Y2AFkCiCn3F9Agx39W05IicIRk1ZlfdvCUMd2C0/4iq28VW7BPj9/gV0cMmzyQfhNiI75mkUrgOvWBgSC04lgOhKD3m7btZeIQzMmJurKVGiC/5bXbLMhbkiEoMfwQRQigyG1d+CyjdhPSa14H1IU5jXSaIaztZT8Ic+89kBaOuMMKoUz7aQH+sH+mfy/xQQH7N5AKk+gwjsZiKZ29gNSB3E2c7KpMhLBfcYYC/KE6n/EantOq7pctD+S3M5unY3vf9K0VpK2NK8ANFo6D+f5XF8m2ug+wW/LVJQA5sSWgX8IYdt+gEubsbgy8CdOdai5sd0+G+2dgIPwKmkmgpna7uASlSpl5+Mu03aJVv8oMnRpLn+r96IMfi0a36518DnD1eoSrR9BqLs+jhaTUX3fRl1WQ6RlzrQDk5EW5dewm5vzbBn6vMP7ERrdo/lreLvbv9VOgkdCaIonboAX3z2laqJ4ES5jfeIRjOIwOOecCGUuMcJJ4xzMckwU3LIAzcwUJrdaz/E3bwaR+fuW6A0aGONjasKdVW6g6OIz/kUMLEm8wxEZQh7y+IqGdSQdr/B/2i2mmfGqA51oNIMsmjuNelJ9HwAUH5F43V0ysLZwSI80jg7kVDrVrw5IxOc1iJJy6IqQv2l78EY7k5kiso59E/yrmVelExEwoj5OV5bMt88k9xznTk50xjJfQeYbqxG1qAj44ExMkAnzltSDWJonX92zvyZA1HuEn/bW5hsqix66xq6QrsLNzW7Hrq8wZRIzLkCPyGMpG9yGFUZlRrBjB67GCR8V0RO2eseLbDuWsCxKysziwZofW5Oj1gfvBmAypfOPgUuXd/J4cwzwvrH3q96Og/a7xOgDXeeL7dG8Yh5p741G9OL5SZ0FfZFggyfFD7mTtnBogcffzlbhfx46puhY4Qtm65IDlxUdT1KF2Ck/tLSk1rqr1m5OT55GUBDsO2akza2xHetm2TERNvaezDbr1UkYY4Z80E39y8E7/ICbhhVmZ6GjC183z4Zt5lFvgQjQT/03LrIZ+pbO9ULeWXM9nVjplFZx2hzpQyWVPfb1wwGVNWa2VXNS0MlwrbenU6lz0dLy/7ppSSnhOAKeJuGDGmm5Ovl4V4OAr2O48GaVk73pJhCCtsjGcgYybNO5ZfuOp3FP4/Qq1JgVIBzjqUErnDOlcurGu5KNDJyreXa3lNLYCjUllJc62rLrikq46sSGdHmf5MUwR3k16y3uKqM31IbZS3s383Y1sguOEkGwPh9nmuXS3K42RCYEDzKOCMw/crB5DpoH8ogU9Fq1WVOErJipWvJoJfW2/8uZYk5k8zP4o6UlynQPwBLeQI1rtztvi/rp2zxuYhfLA/L+N5Hfnd4dBSuRs+d7Px4m1JSSEaLNvzTS37dN1d2TvGZ3tVk0iu9XrZvDZu+rWwrpVXWtrx+V2+/ChLbeLc3FlBiT3xQdt/MgSXrLitFGr5A54Hm1Y4x0Jegsv6eIsU331TCFnV8aBOklYpTMOz4DA9gkwgktfuTN9DGt1F8eoqQdtoHRMpYNerhHnsi45wXG7uDduWTnsQjKX6bpp4HTQkk4iy8LcjDEGcNy3dQxtl7j4xa1guEq7QuiPH8JdUAAgFQU2yxqEQMQKQGlH3L1EdWCzp5HQoxIi87d0tYaSfNatCld0XMtgqXWwaZkV9bBZHqi+fBtbfhO1ZJVW30pWD8UwquA2M8+UCkmtaxX+VvSuuvbADsQ+GzT22J9a8mPTqZjRf9PPiz5CJpchB4cwt612nIife7pmdoXXGMcqX1iXouPkaEcvp4GqRvG7yCGr1nNjcmtK6sk5GNWBZuRygltgYrM6fZt2djsLU2CHfzu5KP7/fP9XOsgD250OxZFAS/XShFUCs6NIm82rjgVzriO/EIoYPwsYh5BhSZJj8ND9uE4lkyTUcIXmo5S/7F9j1ILPfm3SkhUZGVwwqcYTcFYbpze6aNE/b8N6T81Cgp1qj3s9QImc/F8sjutJ60V/6eyze38pJlZk9fHhMbEHLvEAjN+a40se22bR4ZmuS4ZSQ/SoXVWRq2om9rqXznYNsW23ok9879VOKuhAwZ7QMzIyBEvtwGWx2Z9bxAwc5TaOgf+uIqRwYiEPoudy/QZb3VdvYBM/fwP/Eop10S1Pgkr+O5ELfVXNaG/OwQDHA2m3PXQmPtBz/s0rXZW8wZqH28kktal1g4WYYhRCW/gjN2VUjvI3+LU2HXm1SvWUzqpWTptpV2hsLfptMXM+OE6v8rbxedyJFpGMylPScDjZisSRW7UvWxOYXBu7ZQxCgmIoSFHGFIGJoOL+CGXgS3T4stBXJRhQdsqakHexqG/TgqRoNDO1RiMqL4SCq7iEuDfw4p1HrbrlV1VjS/AwTvQJa5FhUbcsvrBhdE/wZPU1f8to4a2hDaKuKbdtoqVxekWXYsPoIlQ8U5uf4IODM37HQO3zaz1MF2gthEZcnmbp9qY7hP8JcS2RsBBly5edBS1ijw2IS6y8K99ZrXTVGBxBqGkIleJ15hAmg7euO6uUvptJomPMdyNUZuLEM/LrfUE8/UwDWx6b5r670Ra6yIbEJU4vmQ2fmQH+MzYHoTM5QPaNGD32GAxtvNqaYU9bb5ysv12KQDSBtrlqG9UyvD1VawOaSFqKUB9eo0IYIxz760pIy6Kt/4HL/uVL1QwOCwFpo82Bp5T6SNWgQsKIKkW3el2Fem08PIU1RqsxTBlIdahz1HDoXsIwrwa98kMVMenW0y5CtyDNiBkmdgy+DolmRp/47iFz6NE44jP4h0kEBFgPwSLAhNI8b78p4/hCyCQCnE5uDgRYH/lPF2x6paUfvW/sfLRMV24mk44Q1xEJB1Fy/NQ9Fkct3Zfpwhj7eI+BJ0o2JCwJ3lPARr6cXuT7ZJ9Vmn6FWu3zN2MyMOmBeVp4isb/xN3NkbmZz9MfA4hoSEYIUsSl6IvgMXVyi7KwYeTbkN+I96w91zHa9mOG7s9tfnnw/5mtDqGShaFMGh5SDDCrSC3dgHPKb2ulbCWPsTLqreT0JdYq24geZX4q7axLYpU3qe1S5WaAzZv7PJ6O8Uy/Y26L2AtPfGVA38c6SdJXGJmLQYZLpe38KF3PSeplcyP6A67q0UuoFLBlObmTiq4VFzLphInP04utM02B6PFnJRbiQrmdSXqPrwX79V99767iW0hyMUKBfpGwndnSAwC5jr0MXIeA9zh1aBYbSo1dfsoXGfewf98nqQuTnl74v7Ct9X329Z8nU7Vii+p9/H9aKW5hs9qdDYtGyRQwpdJqXpB56ia3bwCHDLqqGV8jb/NSnjAtmDM7yAIjgXmw3Q6fH2d25fyhN8lePyuJuQGEzQK/9/NbP/yK3pn/a18f57hNnGfrx57OGW/WeH75BKY3XqN8eUZdG768Gpy/bEPpZ0c6byLFM/vmwDw2T+QpBslsgaw0b82cW76kSTQA/IkXRJr/PcPHk/cTOemMF7Py/tv7Ihvr2/kWa+uz4Cl8Lsykft7/13PNpw+k1poTb1w9/cntpAueEBvnOjRHs/ePhu4djbrwaML+0UjN0SC9owkWHwXqZJKgk4CLc3bIaV5CD8l557SV2qvDlac3TdbAalM3a7b5ZGkbsGsAaI8p3UGSBQ4tpuFf8G5olHI/v8eC3UdtSlFe9aOttCOACjS2LiFeuJMnOAy8c7RzmjjhLslK8oZGonMBC6erq/Q91Utlnoyvn0YLWpNGxuYlUOmAioRCqWzK2n69pv4SQYH7j2+supIj+93/07eqwxDtMGTIoPXYyEuYFLGS/rzEXlwtPZGTX6/DRF+QyOA2XeErCubUSV40hI1Lqe2nFuB6551XwjtJJJrOgRpFilqEU6kIUVRlylWh3eyl4vW6vourkzWqQwveln/0qFA0IuLQMQ5c1lVqWgkIZewLPZ1Miv32I/vBQBr8VEsjYwc//3ut0m47LmK1H4+unMjzRpxXuB0r0NATwi3Xv+PSUYFA3bK0aKh0Np/hQSPM+mk2MsXZ9S4k2a+z4vj2mO6BF/CtQx/jYmz/h55OGDOecOvOtPre6JtAzmiB90kYwP+EMfRnpKMPo3+VnHOeLr9TnvlSx3LQbh8YZ7lr0VtSqCvu9RhljnrnapVmLm+MTiacLSLZ0emebof+XmKHPuXz6Hn5WGGhGPDLLBfVGr6HInOAeu1Hdud2T7rAisiPnxPRU1aspHdoup5GMAtJhE8EZ/xyFZ1BQXjZng5EbuZUjI9Zw/En0iJPiRpraWHMQZHoiq7SoiHXhVBY1Fq1GLbZsP1bBopd4uYTxUq5nsSuvMNFxyQ6nb7MWCyasAuLHKxX+M3pnmCTztUAah8YK0Abe2MGmZNXSm33+6mu6W1qRtCsA9cp3XfIHDJOt97oGE0J/3PUdVq6m9LGLk+f9Fj39j7Bz67rMlRX2oZr+oQlbhzOttLpA6Hune83cci80+UoUk4TcuH0uOwDIs5J9nixaKRd4TtkJNlpX9wzDZf6dQy5tmSV38TRyXt2EErLndHInIx1M2FjCaQiVuk4TS57k/7E/UtsUkfk+zkTvyJz6de997JBmRYSUkzoI9KL+S23nCYT4gG2FDGuC1+ql4FWcw89d2EmiPnnn1kvF4O3Vu5mqiVoUnfYLkqdO79iWTc9HrbC5fogCzkWYM27L5dyKUNl/NyUyrbGdavFRemlL0IfcwT2o/HzrJBWleJ79ZiQDa9J2JD4rcipVOW2eu0xziMfe4zomN0eaTF26WoEjyc49hGdjw9mDJ/xNhRC8IwMRPcJiJdK2mjPKlng9P4kOMqO9Io1EypMEox+MYa5o6LrVehrbJQ5VkVnRldVTs3NkyiugkeMBPiNZJucNfuZQd+AzY7Q4H6GZjQpgZ9/knUG/cgMtfE1g0DCe53uI37KfI2CpsBJx5vIRzORdy0Pz2GBmCOhKyVxqkdNnRFKjSieVl4ZeEGK+xDiREovdy5GyRFaaaDBJyt+vZSHkvzo/gye63keWW+5gzwuFTnN8Wof+zRi0hopco3wGUmWhIVJJz5ecrlaqZTAJcZHwqwyz4MNIFVN6/4LvGjIVWT4UUOtSva/rL9lh4y+Nk9cBAjn4iAaxVOSA+VIFCrmTqb7gwSgoeRYiz4pSLTiifNlw4ya0k23oL1CkefmP4bxk5VbP4sUpfkafZW1oGsfDz2gwqw2/0xRtQZqvjir5F0liAXj05ks3BUxjzILd/40aanRxxs7QacWAJk0JrKxXaC2MIp/31/O6Ynk7hwlJkiDTF7Q1Xy1rKtzryHhd92ufmvp1NO4XLiQSn16KTM4x2w9smO2L1QQm/DXwaQ4YUpaw1q8YF9qt3y9WmquJKTOudxvmU2dBba+Fhy78j+AMSKasuPMWF36+3Qb00kzHXhIlAXINMzs55N9JF+mfsu++RnxP8zexdrts8vb44H88OQO+AQsj3IQlz5nn60o9uZ7RHv+FtcHuvEVvpkXiGKbveHXAnt0J+R+xfXUB1YCApHnLTBd8G0meBDxJxho0UL98nMBDpXpLOZ7VXrpriG3RRYSLzmyCM7Y8P4kAZ04Ast3bMRdEl9Vk4+wh+qTw944rSswkBMOAnBdaDiGReM/Io2bfk/+61cIBSa85wFjkPPJQBF4VFr1uy/x//uwadmt456vk66JsL2VhEngpDELkEBwaY5lFNlhlhSKe0pQEhGZwonQXEvKyMxm1pbZE4nPsYkzwJek+yDvI7akAkyKQ+jLZcJ3E8pmBTbqmucOUtKJpdRiSQSGSRQRzF3re/Vcav5FzEHS/irYe+D4nGH6RW9zbhl8asI8Sv/I4zR0R/zal6Vc4C3kkoKfTERtlfFXPjnIGaBpCMjSZEYq8lAi19BKRrOM6pssZl1eSPnxe2jPuez4PfPsUN7i/KJCNycti2Xj/NfxljNpj+uiFHCWu6gQ6pGmWmARdKjtbbtJCkvpVr0aFju85xQ7FTEUCg1uEnSBin2CrHbFnbFpSgjXSH6OQD9+zoi5iN5uOPNkK4FwmhzvHz5abQQRdFREL0lrn0zRM+kcINagcSltWf1LbJFwhW5JAP90zrj16H7lz+Ka6VLSnyE69aG3Gd0VihQE9RtQrqMXu5PCY33js9J6BU/Vvj9/H768C8V3/H8Y5t+wHDyhIIw+RPPKpAhNyvYDu4cyzdtsMB4Wjt/rcPm4p+LxMWuCuNGsae74c1+JIrssFUnbJmFiGKndLUJng7Y032yQI9l13kj6J4DJ+6x9j1t7UXJVwJOk76QtIOJRR6+YluGoC3wMcREdEcW+rLPxMGRknU0bO5bQ+8MsERK1f06dSaCkvpR4FUzPkklLoKpIz38dMZg+Vs6Fm5k5qZLPIe3GDqklsN75pfW86Hcb+BbQzC9s0zEO0glluFQpHkwqSLSUNTVaTdQShyEcHnyLoo0b26aEZqVpFWdShXVZNoMhhu8fn8GakjxdWpRECyf8lWazWfVk//dzd3IRIv8dg3m/F9dxe3+H/9x1K8g2iGO9hcGfV/3vefb/6ZCHxWEIj7lCzra2TYnH/iq++J00kcpO1iSJnuxwbTfUgj+4+/v9MdTf4Cjhvpx5DZHJVOagL2BPU1NC1i03MzFlutycTaxG9tmsBduFRzzClxOD36KkD2vZ4vnI9m2cC/YvmUTegkXMVq1w3NQgdqHelJfuw5ZEvfrf/w3Yx/2CZeRD6IgNiPOfWhSZe9+yVF1JU3ppDAyzgb8BiGbAb2s1JMBua3xnAnzrBqQnj20VtC3a0NR9aQXM7qDSatd3qTJY9mcSQf6TF5GAhXuzEg1TfB01XqjHyr3wPJU+BJ7YkJOEA7SMfFU/2sQfNAXZRf7rtDbAvmQRdP1spoDSoh0Br3Hd+eRWFeqCnf428lHHpe9YSuiwS8tnEuvkxF0yXN45XcKDDR1KwDZhR/eIZpgjc3ZqO1Kp5UjNVjM5Db7G93qlsHsphqttQLABXVvymB6k1uwg5vto8WMI7OARnEVP8h01FWvTR9+IKRWTQ/E2JKNQ7eFPMw/+ycAhOwJCxb6Uhdo2sej5hgthr29VbBETJFdp6yF34OgPETdGeLaHIc6oRFpOx6wzPhp1lFdcIua7xDgUcUlxcSI3n/fXLdgkSOq76D3KhpMF0mpWGRtovvG3zbzb11p71XtsbcvyDtkWuIev43mBIKrfWj2d20YusvTduxaZ1CZ8W3tpynXPaEP2Tip/INAEjJxobLaP/6SX/ds7u44z61dzwcty+KCf/Ok9+hWo6GAZ5ENypxSRsO4rPzzOv+4143zt8xpBCUESo+72NOUBmfSW/zAGgcfkXSQybK9jzwdgULnVWaxYz9H5vRN/BeKJcjneScn26dZlpDEwwGCTzkDLTpHaI0VjIVjdIW6UWpaGROpo+OC86Y2aejvvcJSiQHmE4sujDU592ISOGENR+OafWyi+LO8vKCfo5Yca+KoGniIhdx4PD7SxRCivMvB+hS4x9mkYLUKuPrFciIMdWp+XLZFIJ8kHiA5PaAdtzeseHNiwPY+W4fR2VjidDmH9r300xSbR3ULzg5tS94ph7KVEJhOVHGmFh95GaQo0IVrhcwfBkrtn9FAHCuyQZsHHwxjBvcYHJzfR20gNt7TjYFsDGWMKDxSpIG4cYn08zVcHCBvUHOGGLPvkZGbedcsmy2bXNVc+dQGl84PRNUfS9JHtfEx8/sBUydv7nSkH8+w/S1o4Lw9+zcLLe8x1R0EJXWHc3LB2XOJIJmaqh5FD6alY6ODD41RRouCMvOJ8oRma2sBfgpqqJG88OAXcz59cyB87jmrjRCYEzZH4HFZ/TB32cTj0xyRySI+825sWdBeMLX5ssoRe7B6nqFZT0jrSOXMyuPka/Z1f/CK93etWpqyQ+wJviKTpHAq7ymwS7vfHwGNl7rbjpmq46zTY3dARe2qNJNwyhXnShfn2rBLivakh6l3qAUxfo7YyyMZpW1VTWAIjjFZd72fw1gVehGV80SNSoOdx0eqdY7UP5YOtkO6UtarZ0GOC7lM9JlE6nHvwJpQYbDHQ0cfAe7VkCpVuVF2B6sFC6mMMaMcYLB/fRiS59Ixs2W1tT1pApgrP4KOEBrHP6Z2IXmg/g2zIoPofYnFxyW7ZKg2QCPDYj2eaPd4Y7fjDnT0r481wwCeecCGnLvjyagsntmwBzsORXPrx+T1uSv1NBgmu8iWFgxvjT2NdmIC2IGzCDWnFM+xqMT+LIgXvlAs1krZlkEf3++dPNiUrjOOUvJKDpfGUww9IUJ6fHVCItlx7OLsRff383Z6YEZPksNI0Ppf0j9BlN4x/dvoY4Dp6uJ4PORaU78dGOiqDSFB5fTRWcpDzXYWiNHL4ReObm6lHzn6+8HZQWFhMvu7iG83DhJ6CTvsYgdUgjRki8LiX/EJKNX/KtKaQZ15tokTyc5osTifjn3YK3nErEOwONoJXsP2U+DoRMEQzWZ4XeI+EXzGBgqaoBhCLSeTPtCrTf2oSX+DKpqRom8AE7rxKF+pJyUJHmSJb+DbyJoZk/gGY+kziYabH8g0NgDbkE9tWPvugLQfBIapOaNQBYv7s3JFr5LhTjfK3YiXOy1nMf9N5MfvfULWzQK7geEafwNp6jqnf9VlLCkMiNchumfz0EZ5cOfYiODjLUBinwgONDEn+E+gUYoj4G30SqAxxcn5WHQiftdczbI1q/3UwWD504vuIbGlRSN+mrjLwStiZt+9LPxLEo4zrFm8fi6/BQaHA4wTiSlSpD8WwnwXk5XkEyNbOtsCGofIEjIuS/c95ipW5Glug843qD844PVsdCLLyHFbd0RlGA73vSN/zxNMqD0HMJxvXmxcBv+kgA7Cmw+LlUJpYfnqLXNigIOfOvm1+GyEwZu8SkFxohDCjJ2eqC29IqJYCZA62rdT9yE7KCHfInYRH+Z8yBhHkVebrfSrNFHan3DhYbDkAeZuz2L6hETDeE3NIJEv4t6nmT6k8YAAyDFG+AW8e4jKIxeYuvcOwHBgDvZ3zbvffs+yJg0OcSO84xJJXOD3DjRxFBpFHn2n9BgDV1eXpxJ5q3kqrbsc2ZmcimqTY+wcDPyonONBMVb0cgUzk9Jy3gmqpeYdxoIZJwS7I8L367VyyX9osr1z22xFx7nfLoSOvg6J6RNj6TgWzbXLb3jJuCPdh9O5mj4Aw8wzzlIoxR+8fFXMdnVd0Qb2g25U4DO/ugGs+WGg293DfmAiVlV2Mk/CH+h95uX89lEAZhD0gtrjV1Z58yI/mlJkm3fv80ScQK/ubggv8JaNOOJR/+kThuzDbXdTzCVD26eGJOhSE7pjxtX1/Oyc4QCx8KblXq63dYxIiWSGcmnBManjcnRtiPUbF6WCUKLu5W3Ac34ZXx/EKtgfLEaJDEicwYmKLPfxx5mmwtMm3DNHFYhGsCEGcAfUdNa3gg3u9PLDzpyn8J550208Q+yYLNoFIy+ti+/+G0OHhwbemWIgqWnLKsIh75FbauRCccb005Ugu+CNou6aEfn6dEiw0EONdVYash2qpoc3GcMkeR5rZAfjTpuBn0xwVVxLQ96kIUsCbntIUgQ5k2+bQg/zZlK3f03n8PESo74UPkTNibetmvgvKAFCVAIcF5pcurVnP3AjwuzxUgcK7pqtoK3OMZLWTdQ+6m3VkMaB4gXUKZA4Ps+1us+JojxJgvVkIXnBZeVH8w5R9HQvJgCXi0gKnf2r13xJDi6xvA5KQJXWgoQ5TTfEdXlYXzP77ma5JxQzn0/tFteQlkJdYCek2RtWE395ITsPur4G//YzdU/CgdVxMUA26F4FV1bV0IHT2kCwUyyVDYvh5IX9cpuTRe9seI9Z88oZrVFvxH97v6xS2kbR9cFSJ8PwyxAmOlIRgKHMKzxA+AVp5hMdlrwtCz5adkGW69+fOMqh4cQyCzm9sRS8hSmMWNsUAnjS4K+6V1yE1HQ41DGmBqohA/JR2+d0Muc7mHN1p2O6UDAzXd4kx84L4Xq0fIG9QUziTJE4v1687jm7UjNyFdf3MPuyIqloLkcdQ1XWaPuDiraljTFpd6Svhu51wL/QtjPv5XRp1DfWKPyLPX0C7o5fP+p6KFyCBiJc3vC9URBgyWVtGzec7dJK3QTInlwcc83i3vCNZdM1c+gWwovi429mn1/SX1+g4i6z1Dd6DFRjzp4+hLCJt6YtM0yB8S6Erv5zQgndsjX4m8qbFomaKt/9VGt5KQHTV7tWw9TRZclx5lyNzMsi+Vget37xwbWsQ7jw2R5Q3qwY/afh7w4asXZ83p9DauiP0U/4cgRB3lL9RTn5uvHqDYUIVSptlDw7wUFPoAt6OX1xZIcl5ivDu2TdJS48HDYvxFu+vMlxqfWeQZ09KONqI5FmKg505GpBx4dw2evbpDf7SqNb4xmZdmkkgbbTp9TlHcO320AzYjiPt5pI3IKpQUKFi3Q4vhcpW3sPFwWhVXYC+rYafzVpO3l9BTVyPkbm96TQN63SAJ7jdpy4np3RC2mkAEstErbc6eDMlrspyIgfeFJ7uG40nAS3hW3lTtRycwmN+07zkhswWt53RvLYh/IhFW2sF6czCL0MZXaKGjF3ksC3qSqPdAG9WwUtujgBvYba3SwEx2jiptn1rOVUeTQ/he4CKEvIM4rn4lPzk+/1YMA3e5zoqW1ZFQjyil19NyiTlx4rd5TkP8PZGWxG9KryrQBJcxco5PKMLq3EW01VuZ+V/b7OtImrkkRlAgdGP2rNaK7yyPguO0c670udd37L05KiZsJDtmY6z6+3MdMhdbAc4fSgH8eYsG0FpJoBWZUpg9u6GxWZJegGtVWTcflarjgoj6gVPJp1YZ9S6fuJjxYUuCsMhR8W1TWVdYoXW4BSCqXvJ+6b5SVIKXDUW63cUE9BE42BKGyemIul9OnPUhFOawNw9XVnAjV1tMsPxS7Mi8Cz3n8iRw4zMmLJSS2XZFFiSxOP60ghQ0kGfgi0uexvthCtmjHRwIcvqo2LlZJGl0DQuBLFfRkRT7+szMkCRT5bIkL6irp/ZIrBaWzVTcNgLtO04mP8c1DDidHFjrjSzzFXCzqDMuttuDDHR5SDgusueuwcup3c9Ym0XrGBhN2bwV+JcYTjnmsOyccX4o9wzBuaqWf/B1/o/0OEcKZEFmaTibnPwE16wu9Lj52D6xlXWGWgJmbN0KsPwsktXmdzaE31CF0Y5PBIypXuh1HD7jR/+bgjHq8mSQ7DezWpxPT7MeF93IAh1vgH2UAA1SRZ4mhYSefkSTyeOGQbRArjrnwShNHKz8+bopWkR9pQ4zzlm6ekRraWjF2Y6GiR7M8ekNf76noWaSqE2vs16ydH0sslvNYW3scPgdm+xAZaHdFxjTkDZnHhYMq8enfbSzJOhoeebMb3PzJaNQThCnKMDNCIaCE0REH2anePKmlLkXMaIu2Oc1yC8SUsyx1fDseRYnbEHiQVlg+Yzs2kaDvD5j2uR8uREYelMhu6TbgvGr3jtC48D2zfdQ5Jeho2ZqaZxEOBdd88vXzMIoleSVWqGCpOIo9ix07tPRaGY3uHsjOWPzcYv8RfGnYfR9ifa7cZia5pT4Bxisfz0k9aUrTrgvj0GzbUpEwhuEEown7ofHQbrTqF35uylPiTCQgSLexxl2XLQHW03v1tuTWg1/ZJql6NMvUX1kUXwO+EMk1XMd1atkaXsTe3FId2Eqcza+SjrkZTZBpzbScn4/fBWH7JvIa1bhh5DkYDqtM7meFDnClXp7UqbB5uByOHEX+7hQ9ofizUYkaetpBDtBexRyjg/S71Qa7aaQ4d85HZeWEGrkt5GYBEgGdo46mjlcjMz8B/UzD3kuqFIULX5rcInLyVZvAQX6pDYD4u3j0eLLFCC5WKALwuNRgnCbLFYdJtD0wEwlFA3QZlmEnzlLXVcA3Y9EAG8woZNYc0c9FypUUZMHW6KiUIEMepqJhe1ADV/pKF/9huwuEIO0/MLJ9yeWUvX9PVOM623huON2I1rYn8ENG6I0Bgj+pP3SvsvVvfEu4JeSIYdYJzvaqakt9hOfptPsnxx4AN+5aDM9oHYYqehq+iAMr6nTNUbvtc19evf0Tn+fT07uvlF+1a611/pBKBj7i8B81hOvvJCfNz/s9fT/XSCAtmROcO9bFrkUcOonLT+ImgdayAyHLRWeT/Wg+1qDvt9wKmRLQHMnSvXmUf70QqdaTdjJfaNkj1sFxy79GYMqcFfkuknYlqrsiJJEItfa3m/7iQJg6MMltBJjrfEypjQr9tKy1MQHjs0jjYIPaLFB4E3Q82FZtdB+Z0pS00jwRUvZUXsllfEH4iWqE3k3+m6HWoxOfyw5IW7jmL5PJ9IXfx3JnRpyYLqPBHQKngbY6DaaW28+awOSoyQYpuH7c0I8XLMcArWZbpo2MsWnt6E04OW5yI836SFxqkufhJOD/oH0fRD0B+7swImlGYelrQzzZW6jERKbrUGk2R4EQCbKjxi4SCcpnKMk3tYD2ny30BqZEqvOJkELnnOCSn2WckDbWwetcUGvUriemkuUzisd3AIVtCpZIjN2p4uGXxHw6fVTBJZCezIedD/RjYYYp6yLTgtiVCoB8abhgdBVOCeP7lrd5f0ZV51feXftEHT3ii+4hJo0hO3rgmbAUd116DlrNiYoemHcXV1d/ANn3FomlTdwd3iczlBBihRPwqOslBwyn7q4TIuuovV4ll06bz9COidh8i/PQOYHBPu+7BsbTzknanKHVZVGFKKgvf7JEshymZ+Xg+z8LuHRKepXHUvgDXQDtqMtjSs0UnyVjWC3Z+M8/UB5HCHWeVtrhiECBNJ1we9gYW1sBgjAlDPdRjPOelIu5tfvBrJKNILlHYFTyWFbJch9xAoceLwi1Ci5OblKpXDOcmaVPXzmk1qPnSDIDs5VIJcDJ00RLr9RNcUc8fFG3O594X6yheAsT9i9EZYSNvX/fc8Zii2bpAHv+3isn75Hl4AeUC1ddbRzXV0ftjub6vW058f6F8TeQsL2fQH3MMRFnw/w9b08TM24MEqL1ASClRev8Wa51J2Ckycf40Np9f64d7e6SrwDebK56WqQ44zvA4Pc/Ly9Ix9FIZUkNWdJAVd+wOEn3jO9cmCNK6Imu/zYOpDE0Kh3SFoRyA+p3Gw9CCUPPu2e7x7ScU4K39246weU0cD7CjxBQguI/xiMOXaFek4vlYcZxf+qaaoTR4C9VL1BqBXWoFTpXLXdCaayYs32oABmUVaZ6ZT5RgwkRG31pMj81zcRWG0JG5kL4/TYR9st74q7NASFMBQgaPy5vBdXj417h+Imbb4i8hRXQwu7BlfwmOSkZ0YeiC8ewALpxhITnIZWlyzXHJ43uBetPhv22fDw4WPhYblDS+89/ccAHlG+nEPN3N2mCPuibO1175mBTuMHX74oCPXulhX97SERb4In8YdytkeFuukn+PxOlwMv+VM3IDFZ/SK69I9L2QgVO2rL9WL5ERrHidu/imjzt3j1KWUhvU7iIVxAYH1Z3+64hk8PDz5YAfn6Jhz7BY4/An/YJ4o/dEr/82JiPGcjlyYLOYtZGuHg+b3J1vSofsI2MLRW1XCHg7cxfE5BT3FKSrvYvXDARiXdM82+je1cKSkGhG1vCu5An81ExImNy0h0wPq2AWDHT82dOQbpbxH20THa8iViNH4murIRbKyLK1bVkxqGUY6flJZzzmXWiHrqM/BRL3Nj5ClwhQNnnED+/FObp0RihY/ogggSFSmidtCy5JQQOXfx1ODkGtL/whU4DTWL6cxx31XLOxghUW30tgtWwyF9Aw7lPIqf9FF4NKAf2JqKJBAH+FUmwU894Nfx1ZzkC4uoBFDGvOE3mw7m4YWf6o62lqN3lFD64vPqhoMmYvxYm5fXJ33xvO5Jlf28cPRQdauVjygwUw3ruJ2ZEWVpXVxEZC6XGaDXJByjHE4K79ziB82UMKvghBeHZvCv0BjSvHIZkDMXC2WAgSHvH2aXO2kb/yPpmE9Xvy053pDWxj1cOMZNj9cCHo24Z8rWXI3L5+5y689PjZCNgvdD7FGVensUJoApGNQXtFIX3Zj41eJqIwslD/WxD0fI20odR+Jq7GCUioK2uKSUEfdCbi4uGVxuJ013Vsv9lD6mfguDmM6CKNXAVuMS9eNF6zKbdVQ0k4+c6i2dVHm9/jabmhOi3fbKoEU0QAiq0wBP2qOxsCDeefWLkWbxqogL5Nd51pAiacW6W3Cj/RpZQuE66jVDgYv2ReWI34XFovXsMWv4jb3OlrVlNziHbEM1UCLzZkTMG7k7r4z0pkqqHOQvCW/lDNpOUOw5PgN8qoqjYTJe8BVD1jRfbDnm1g0PJeGY+cLjGvt/kJ4bnhzIh+YfvFer82aRg3lA5DriMVGhKZ0phwBlPXWhG6H2IoS2mnxsvTGCFLHwN+3IRUyJBQVIqeHr3tuEqotjdDAML9leRS/kd57ScOo+zEebOM7+6J5qOV0VTUFSzdrLqqXtKg+cbsAfXJLboHUbOP7VSyk7CFP5hwXYFTJuc4abpazsXtOLulEx2DnlB0PviPHH2dY1gMXMYplTnubHoIQVp5KCOByiCS9XZDH5/gEgojnHV0eSIyJUtOIcliCMzt6RvYetmIpXw/1J1MDYB7iYho+mbRWno8F+ufJ77+qvqVZl907Qpi4PRvAgRpy0IJ92+n5QrjgSAffrZfiBdSGKwC7oxutrHF8vclKdDdGC6SP4SOn37OdQ/0jo7N7Pso+tuWMGw7E7DMtVipvvzZNyyeLYgxQk+brYVhUPTCHnTp8t4s3T2f4yD2JT0gR4u1yelJNHx4y9VQpKyX6YErjwUbPwPBz0Kv5MUZX/sJNrVPuRJpVqWUTeLl99HpegiezP1bFvreHhI/t+NiXgXs+E7u8eAoee/Q/31RG+fbQKo183FCrEOK67o4C3gCoWR1/2jIGlqCEzcvRccgXYHIDB9nRnBzl8sDKcC5y27yff8kec4w2M/oouSMev6CeXOWu2IE5i4lMr8FMNkhm3bulftt403985Up6X2WOpZ/u1mNLnmh/frZZ5vb5zcmYGE/u851sIlRKXrT2VwFTc6N6ZWb/f92vtxpwlG+bEEDp67hyAmmHcrpaIEbzjls7T4aOcZMlX7FmcgVp21drHyFz9ZOg84VI9NMqr+OgvO2rpuavILDx9MMcwHeZuIb04nq7Ozap2rF+r+JohBDr70Cl3vD5m3+GN5V7S46q+2fkFgntL/kGmmDZplXAr18s2ANCRxjWvn9NyzgEfmgY4eQVDoUYMFkF3YHyyii86e3vnSONwmFEIGNy5DLrG85d+KWcjru1WHZPAzZLEHka4/F4oGAjtZEgRB9PBQLLBwlrSx4opOuzBwMb+vSHqrKw8co1G3fCDugO1U5ImIz/U+vKOKvSm1YBrNOra4i1sxVtNivcvKRWADRM6VRwrekLn+QP636xh162eGvyLGO8tZtdo+Ug8VAQSfMrZGG7+0rH+oazGlPaILs3xokN2A5g75pHMf/To790Tr3h0EpSy4YOo661/d7sw+8mKeCnTdmBnFeBkKXQxfQ1+1KDk9U20Xf2KMYFw//5TPggY9Sxnpwzyse+i2n1qa6dRg7t1qH4QMDSSpiaI81C2KiP3vb1noPPEqCr0OAvWb4a/1pK5Nh+QD9l7SPS23XWqi6VbPr5kUQ4Hr8cyPcGurZjzhaLyy8ZHB4qmTokpPKobM5Nko5pIhyi4S2Nv8muS4K5efEydfzQBQv19orkdmnG/yZ/stqnyxtvVe1+fvE8/ocm/B0jlDBd2FFI2686S+1sElqBQButmEEZCx1fHuobuRaEYFv91s+cHR0zw0Z7HwtyaCcBMiDVp1dwSLfwMn0g4BAaHGU74Ew6eAaj9vZxi2zkF/n586oay8cLb5uXXXVWhM434PvbGHBG/O42TppezMYB+rVkeuwT+6pMSONDLZ8uD19M34eH1qdDs89+fhpFJK/NbWHkZGWWAby7oXcAEBdG61zPuegXMqkB0/WEt3QgZzv+SuvioHqfG1AolgTMtCWq4WUmcdPPyrH0j89o4f7jpM9zBJvs90CeoMDnRb8tQfkKUkYuJ+nJjPaHJVdlh4XDi/yXPLQF5tYAdJa0XxGOa7sdw6B/tfJuht1UWFvCOeSCrNs7L2UXe07iDssCIbTRjkKDXQhj0lvQaSQdDpEJojmMKe7i2oZdF85IeGVGpoqd4pJelBPlsRR8ieaKXuKIKWZdBifzEkfWq9r5rSRt4EMN1Mq+JcGzK3MUQElkPO/OHk9eYXjLolc+f6DqUSPwwf8sNjtw4S5Ls4nh0OApzczEHBVH1w94I6hqFDfrxcqNsMFGeUDp8AJxwrQp3DGe5Zads6ndKSPKdEVrJdsrS5L1NyfpY29KfiuvUmLBoHKDRq7JOi0vSUXieGA3eFiwV7yJ0V41NwW4fEz8/Ouh2Z1PvGtknLblnnjqnTDo/OXpMwmiR8bJwpMY9OE3s1Fo9CnHvlmtBr/g7dASZMZbhrIlHtCK71Dll/Ey7mdgkU9PakRKlnQhanRwfpcrZd+PHefi2+CdXwxv4UQjwwCvJ+x3FiPtxyBzYMVzU8p24KspSj9IU7tG5V6x3c03tmv3nqMBJn/GUi0/B6HYBFazUEEnt5zHYSKGFjMSFfLU1K93vdiBFsPgU6Hd09FOXpvOi8P2Sq/h5RysW0nFpuWgyg7HsEifNlFyQQJXJkR/gHXkALAOQv6PL1+EpIXlUVz286hFVc6zONckPJrx62+o+nLueh8WEW8ibP5uYXzUZHQU8vulP9r10J3/6VDa4MXzI232KPabmI/1gGtmZrB11KV7L0KOD4EPv48m417+tLbQ7OWztWEOnt+DJga0s9VfD+YTCjmVYiKpjtL2XPw0bMLRGVvLcq1DGE5b07VnEaOsUE9Gt/ZXDhNbTlOgQe1xPLlEr5oD+SP2jW6e+ug92qoES8jixhv9kqG2Ig6/g/R0tRqK1rC2rBd6wkfCNBMcI/Py+sgL863nMo5b/d51tonBPZHNLCzWhaPbGL9jGtWJRh4+YidK4RsvOQ/aOnXAksyRMmcHxCxeXhPjWtPB+ZvYUrpkdKXxswwQ9Da2FT/DpDmYbdoIcti98PdX479ee+roX60q5X9XBpv+A7dehU0Lpxb/WZzHklwlxOSG/KszniDHCGzJYMtfvLjHKbxJp+qy6MkozNvuhYElpIeFfcmac/gzxkQ4tfgS1vc8sKgtWe3Kh4WKjO3kuq+D5YTzHxTp7YnuuisWxyJxUPWzBavaccL+0gvTxK8zr7wbXunsMeYIyzPj9ZtZCUuTIJgjzbx/5X/HvxGGwW2vdNaJmEpPTtgT2ccPs3rNcURMv/afZ1LQhhmp0jVxpXLbBG12zDyWa97w8bYIgo2sMjY1KCaVhgcVUaaz+Z28hEVG4Kha4cBI59Kz3J3KmSsHyRpPxGxb2lKRCjRo1Y5aznrAZ/tjbMVH5ESXD7W6L26l3TAP4Q5PzIzeguz0x7+22icZSgncE8LdRbCNhbJMUE48EmeDRhtmWpvQ4ukViYLmEAY5riK7Lw1sXJga95QgMk6tsZXDLr3aRDtyjv2WmVBqPRrwzCrd4mUo66NOI2WMEJPzP6tPeXIprgc+cuskfMIworDVrRTsYvTmJPDs+Fp2PgX5OwkDGeJM9IcbFtufu65EdT0ObeQpBd6Pw9bM0wFrkWo/bkYH91RzGs6YOicC2AKEACfwTuq8DTw8A8xSWZXawcIzvxMBU3Kw2efpNSa+ZeEiVPXUl6II3QN+wzGcwV7bFgyfqtits90JvkYes0Vbqsrub0PQfEanOPNJJyUK9Ab7BqKuIxtj6oF3HTb8+UE85R3f78S4AltfiVcMDVt8J5ly6UA1LINgP+OhdbK0v89HL3VVCu562hWBfKZN+0I6azNlF8cDuQAOXaESwISJblzojkp0bQa+u0Bcn3Vh8xO8r06oDtyzwZzT/chu6EBX1iSuJ7dAd2I5h1pOeqbtmYBZQCvPuc4zG1IXFx+Fiiw2WkjosCAXxZQXkjZO0Oqaz/yRzoFzj1fh9eF3c//g73pBnGr29FnCADufePmV9mFDqXy3zE/w+gaStfTU7zBOstcTuHbvoVXaOrn1juKCzmHLXuY7j4Lk2W/XF4Cpc/w57dwRntwBQvGwhZdIbUHqnZ4L5ElqIzuyeca/LGTsQa1rJc+iD6ghrfiinJTdflmU6/rQlU2tjChy6Q7pPwtt5MZ8SK8UGskSMk61zH9hsJpYznHRbW8WG2LCM5+Fd6x8fhnXc/7xBWqeOlBqk1OyWpVE7Yc5K6HIitxzTDrXs77ZG6UoFB7NhjnDaYb6bcf/EpBljjJLalJ3QcOUY/hFWrrLZwI4W1xJRdaF5LKvY2JplsZ7WC1q/6mMxU9/BGPdbOpoZypK9CxazUQkvZhcojUpNAHjY3AcjFd/JSdDcaK8ExbT2oND2yX8XV7TV7521PUQkM529g7JtIqwlY9lorU8FfBPaOUk/PRwPBhg6RX0nFhgRfUIbbwHnxaDYQwGvngOaIBvFBCjeHFno1WMh/Vr1OaL7gBL91j9woA7z4DcSH8iLMJzbMEl/hJY+wXNl8gDY3yTxVnijcPEsVBIEIVosTJe+K0t37iNMLTBQsgOc/80kPApP1QCR11jaexwWlkq5gZIhlwL/vtr1w53DnqBAuQ5qES1mlnoRr7io8duTrOA8hxoqXkTrFOCMsplXGxD1jemoyyj/1jik3CB3TkUTZq7/VzaFsZRwHXmf+YRLhfUu8rtUOPH4sT5azSA1EmkxXLyRJ9CYGWqRljVdoFXxyryCzMTXUGiGIYrmDAch+iOwVxqp7UGC1m5kZTp4Ktdxqk1bJrpejJ2sqvsKkBa6cMnJX82aQqxEdprqYsLOcktRCQ47COHDy1w5/PTi/jkcXdXRCshCXdGI+IbOLFY0uLMGTEJC8qnUNWa40CgWlbwN5Y1R/C25gaYkREZ55BD7uP/P7gId8qJIqbk8We9PLDf86NmLgZoR47M2RQkwWMDWVweXd3hrqzpsAm0RGnnsokllSKmNFK8YuZGbPK7j7psft6O/g8fdD0/N6B4knBYmhIzdu+m95PBVt82OnOQpDuplGwpyvfjZSejXFttjdB/qCkaL5ET+a8UpVrHRVCceiF90fyacb14vciNYHpD1W5R75o1t6h7dUPSUGWAyiBjix3eHGOfwjsSHBsab5EmXM5MVeH7jrJbpE48dMH/6JUmrmI6Ww0JWQJ2R+tHN8BP972+EHfyMTi2VoBopy+FmXac+xbeHFFrvtzJLPdwl9SSu61uGFo8VUtTtTj+Gp4Rx5GpmEjYRnou8cX9d1OF4A/0RIt3h/mpEZHg4t5BFJfwGBhZHk6Gogq+EkXuwCTstqywNvba7AmaXtJHkkhKVZoCF7332jNj23LD+wUGbmOIM09AbeLAFLuP48LxfpMk0uvTBS3Q663hjE2ZJCejP6b9CS+e6PCtgGhY74wP2oc4qY76+6fXChMk3Jirsm5lRUUQMJhN4mMhcloHYm0HwgeBZcQtI7GAOhA+DcoBS52rxflfy48Wv1uRcsCU4z/s3WEZpPODPckQoN6A+eFihfbgiBzeqBLlER10R9AqyZdL21jUQkp73TXAiJuchD+kMoTd8W2MbScwQs+/2mv0bADUeWtLI1I1BA1K9ZD1TgCI1QR9RUnE/+tjX6xAz7rqJ5EDfq915JnX5srDkjI97zlcmKgoD866OkBT6exJJ4yn2LuZOMhLdUf/hTfNz7s98Gag0crTClE11kRLhWgrtymN0TYauLzVbN+bLlitnunf9l3RfHo5FTDLwcthjbhj5IgL7oM00/xoSzUwu45PhE9rCJKOAyMJblJdlumBAL8V+0dk24jQg+W9zSUi7JfAPv8Jk6KLXRYf20523fBeM2t1PLIV8cjbWrJIg9ueJv+KvPdvY497BYpMyi2/0eyuWObvyFyvOu/sBsk7mIq3cApFK7hDhLE7sQdpc3kcl3iIv82qmPgipVX5LsT6C44XMBrezjAb380ypmqAmATpnU3rxEl3+uUYiQxX9YaQvRYhzMostvXVmj2Whia5QXjPnZqYYGRWWtVTHfZ6E1l0trtxJtfOCHQcGYmkgDYKuXqtD7yrwtyuCAB/Df4jKa/ajixTuc4muSgdbEDsffrbtE9BOxYTKzSu2oKeGj7fh9+BmR9qb3NdqVoOshVfPxFlj4p6Zv7BGxk8LVBNCtx0Pbjpb241rHliG0raoEpIj/mvuK3yxrOXa/iu7YjTL9UKZWucSCJ99JBzso/rCedp124t9+K1FlvABwEBys2pYPTtk0sW8yH4fGGOnm0Zz8j7LSnB0mokgbO/cnnfNzJUjlmQxwKCH5+UTbstPx6lZBjaYLZKg2Y6yt2yZHbTP6e3Gvg1xVOQ7cy461Z1YJRh9EX+hzAPzRpGnRm/xykN9Hip2a5GlWZnPrGythUNwiRW6rZiYJQIZs1lY/if62im5T0m5mJ3/pKtGFb7GC38/+Z4sM7qdVQxvxZqubgAjZPwrUuF6G/sSE+mwT41LIg/xl+YTtKImHW+PwyOISHSqBX0qZKQnhibxFsrQq9GLlNcNyZuOd3CMsrDTb+UJ5W3e3T6EutHeFjMBi+W1Fx8zgOi1+PXPn/m624TYae0BaOWl9+ifO7X+OIeRjqS6q23hXZOxB8q80QvufR4tBJz6RoNjjzcD4hS0qBa3Jh8A+Nv+gDIsXXn1fOAKSrScr0MhWm7YlGK8sXSpHN1AzWegVMtjHNHE3Inaw9cyEh2Vy+TIHSnMKVRlPML/pGvFxJ28vg+H6OHVj8sxxpiW+FDeGTkBRWv8RbfA2qho95Vsk7/BxUYW1r2ddaoCcwsymLhA5UbLzxLdaLP5xX6DZpEJYWHfBelICdHo0m9mg+lL0bfJL22oNxdmgF7ZmyCufBzrd5kYMUADaUzlvbqJkNuqyiLW087GSec/JblDe+ByOYX7vxxvcZ+I+RToGqV40k+3i99a/0iorGhmbkUqdQ6ce7VWE8RUdkeKFDXZT2vbT+3+5T13NflGU4gxntVhKia+qI3QNHw6F5K9Pr36spXrcZA1riVl2Tvc/SACLc8iIV+13EbMxS58fRIrGi57rdJ60qu0wU73B2CIDbfzR5BVfqe0mh9fk9+POLi67LiZ6dj7DHNH7KbQV521FhNhqIffJZ7w0iBFpIYOYZAoeFicdgGVhIWiY6rO3fzOk24dQSEATItV4ovf8fu9yYRP9kI8u6fhTtZy4vstjnVAWNWY99GFEcRjp860DZwePTotARvb5e2chYQRBGNyajEmOZqvaqmTUp+cXR5uDxOjNb9uRUNzTAZLRUSUai7DqORhOyI39ZPcrqtshwBkvKHRneAVq/0UScddR5uVDvQOH6RqLdEHWw0mVPeQ6o9t0XbK8wtH1ytRi3TxBtuq7Yabash0CkTbJcQVBfoJTiUxlkgSN+X1pU+A0WX0s5+usfQ9yi0EkLSssARWfXRFuYb8oSu9VMztIdxe3lFhbSPmoMDbWSYjjF7Kn6JhNH44vUtAVpMsx71/W6R3r7fzspQ7rJLk+aDlyvPOYTC8r0+v6bkVz7qtpazuf9f9nRNwfcsBua7aNqWcc+go///ETZyJN3z62y+U2r6/tImEE/60//wnZKeZf+mv+VV0PGIMu2QBpZe7YQXxGNMl/z9neDT6vMe6C2VcckbfhVpTyZu7W9Pc7UiUN8t+w4pp6Rf49+NbBHWg3ojj5+hnF6b3idZC8RBthG1sxsALwWqWDOivtqrFAz0iQiKVxWUnPtumElLq6zH0WC9Zx3RNCPFrtaU2PLR3WVjkTrRWtZkW45wtlUzptWSMu8YeljFQR0cInKarRT97W6b2uK/vpffbkIbPSo2D5Zlt5hi3dLX78QtNN7zCisHVODyaMaV79d8GZ8PZ/hvi9GHJIUKugHVGnzq2yBCC/c0sixtCTQfXfjjGDptV6FYtXVPXL4zHSuLd/sRAylAjz8O+2zI7xtoPbjLbnp1gISQRghzPzIF/UzO1xaYKqW418zEgN+XU9yYpr16XZwVTk4fItGGKx2bCSqAbiLigihLo6+FPrf3X/lKkSwXDZQP/d+jJy0UTMH2qvyh5FqDoTitiOWPPFsYXmlJ1eUa/4n/7zEpY4Xb0UIs3wFu3hSR9JCG9G9hsya70fd96/5oIpVwLqPCZ0u2eflv/2QdDXPnVStgTxe0EEOHmeDfO5xqtG96/+jg5THxi+s67V/uEMXoyDlvqHAJD5WyTWT7HxAidbEYcDB4b2jmWepRh7QYg1tYl13/QjxhmGUHh9DLkpPpQA3dCnRW6vtGHPD42E4FpZEWZ1vaou5oK2GpM16/m9jFL5J7VQIOwnMXF16bk50Untu+fCyQCbFMziklv3ry1ly8J1zA4/PAXovvnqvpvi7K0RkLpB1fPqm3fI6SIlvq63Ln707hstkF/8D6Z95ZVhv5Pm4Uub08N+Rr2R9CeWN5MNauG7AdJskv5FHwy3XiD2y3Yb63smBr+YLnXF4cQtgLmBflCbbjW+0lGEOSCqucRHvL3P48Oc0HnXRN7ceEMZmDU0m2fUg6pKrLTWZvSoXCIfvuPb76CYF/YF4tYip9GZjZOpGNeZvDTylJMLPwW8fmf0wA8IVszhiDejk1qqEX0c003zNGtX2Q03mbw09OhucdDl/eePpSGfKkhLe6Y16I6M4F9rFgsoFMTAOhcARI7oqAEaNenuJUEg7+/nKGWIN5RGijLMMGw2RDAMimFkoxxElS9cLtJVdJLiVg70HYQvr8qCtVg85QgtdqWwxybbtlUXBu9Qv4XCnHwHv2JQfxFrNshuindRzrt7wKeLBI+YNOOcnrqHTQfFfd36yXfSvZS0ekwXPyGAtuzv4GbyFIY2RDrVhKa9Ic6eL83X6pidMX2QOzweKHD6kj0zuifZ/T85IsjO/nIRL4hFnugX5Qq33Xd9DRDpH/eObVWg6z+1s0BZoyBU9z6WTsikMY16omhNXqJ0nJ3s/Orn/F7xler7n3KVpUTq7uxbRKPgWhVlff4v69xIcDbhNK7z9mLdnbCocjnpF/vdKbFC4WXM3PF3fvhl7Cuqu9RlehlNAdhQ8WqQsGK2gf0+9+x0lK7fyj/K0WX6Xule2fvXrz1Q6Rvtkfi2EDah+oCbC/EOs4jqI9ILeqnwu06mTXjEpAVaipSEExvG49B0L6Xnw4HBuGYymOuw+H+vzf2saZxPLghTuxEtuH4XcsKqZqXJZp/3R1xsuT15ULnoPVL8ZUMI9+1PcVB8yQHrjM1tceodmQ8aQBox8e5ChwsrgfSiyWZAQWUtjnuxqjyc7cvxF8U29CgQXftx7WUkefQtf+k+37awoq+NXbgT7N3CMrDNIxQvftwG51XnbwiOOE9hWRlOtNVoLWDGBZ43oVnGEcch6ezLL7OOHFmMJWdvrN/GOHvcs+tdBKr9Ij3MA9PCFljNliFMybq9MtEg66A34DLg+L1fy07tune9861QxWJd4OjksMSG4RBbN5XMIMf7CCS+xAvdg2yNSbeog3WcCZZ2ApvVvqJ78mNO3CG8TKz/tIrxCdRG9tId/qcbYgHqKUrDe+pnZqkIBhAwT2y+IbqGhrreA/R7g2a4an1txlLnw7HPf8VHZ/k4hs+cyZ02DUVpgteuZnj88jCW+daMre9+uXmsXsT8BTRFSF6a+b5o6H95WadYt/glmRKgRV6LASTCFMCi/n8DgaLZo+z8NLjA2N+ba5JDGDTYzNvqfjZyFT3a95WN9Mv6aTcK3C4V9zC4apzM7VvcPue7B1SCDEjUrx2U9MzhGijrQWRIqL3nW49lmnpeEqBlR5owOeGOoV2Knp50M1KT1Zw3LqxYZZ2bm+CQXjYSUqHC48WQUQly0L9vnYNfl6EKva+VuwRhmADG23QNkiFxDKkLH0myXS2cBEun9U/9pZSlQGnMSQm2EFLWL1DYShpin81bNBSbi7jPiM1TSGt+K8f+RebC5CsUiYqqxhH13uyCLsVqultkDfpgKDQIeozt66WhNHp4nXw+Xg5eUugnMOnZ6utqPLpEFPDuxi1+aMp/Kw9spav1IQdLu+AQk9dcEF326mHZEz+vGXf7tPTewOBjI0AMGEfy1FZu4OYZpz/S8CRnbuzvtr7EbfYE7j13ibqR7q8Xxy4k4IXZ4/VpKENx5WV7ZX4/4CBVw0RNKxDDwqu+AzP/BjgEZNw8KfMPn+TU0576Z3YA7CWzXkNyhiaBs+OqCEdQVOU27dDLd6C9oUaAQM7uaWQTzsGD/6zX4XDj5n9LXH/bAEQhmLe4pRcveezVl1wi0GBoLOOQsMJnmiL06SrxavbDyXMeZ8jyy2GL61R50oGR/tP/iwb23/rd0MHo0Atk29I3G/9tNaO4XCb+rD4qkS2B+SIX77Bsbmescru/0TGeF/Hn7ELr0mSSaxmi5Mu+EKJokCuN19HezbCeeH7ZsoamWG6NwAFw3O6Bw0r+UAEpLoITSfIWBFzYUHSxWN8R5PPEMqndtQqAscSfvCI9AH5NTMr3U39t+4DKknkhSZbUlsQxJDJNGvKszOc3oCrYkh6GnD+cXuez78XZ3LHG/xxvADipM8OfC0G6WyXeleXQmBQjmpL/THXLgqc8hxCdmS2y/DH335kVUM6O2cFXd3X/48dz88z8a7bQyAF1v1n9NNO/emTUiINKDlGl7joSe6o5S6o7fSHaLYXT/4P3VQcKrNK6Ri8xJnwIGIPlCP38jBr/3szqt988JnwLPVIUXOQ/MqOODNGDbGvDgNlGadaxDHdByGlhrq2faWu14waTHsCCz7wJnS6ubHBP2DxeJpXO2oodDLDwBLzu+A+QQ6uKEiH2/7PjqU8b8siYKFVD6mjeqIsONeF2mmNtustzX7M9uXfly+rl2iHV16oaVwC9GI7CU/qpB1Ez6mnbgp0ij2w7M0OkKXwZ4JH87RK72sl6bVbQiJOCellP7eS1vImb+xC9H9g/aiv3+1UWCOLiEdkUSUwK8Tydrw7+rlO8wiqoR8s6efyDx6M8N7KnkbCt45KB2p8tqbCR/gkHHC9oouJ1tmL8NRQJC3WBUjQaCaIcGjMLtM2UiCORr8EapPNxZSBWthweeu/0OtaOjl3Ib4IAruuUelfucR9+9p/fBO8fIoHwVzoevN4nToZG6nW6pLqjSZ45CsYf8XVOk2P0iG2mqUWxmbi4Svlkot4llDNgLcw4+Q6g39aqcyUCvfqjQO9PRomMNNnY+3oH695rkggv0HQgOolVNHqgSFa6XHb3SV7y0w6nSdD7go7lBm+yvnIOXIbe7IgSEXBWu0LYT96hh0qc3JGTzIp+68oEW/h6u8V/x6Nhaqr0wOzO5out9nrNpR1O6sZYiGOZ+RusqUOZbMrpdZikYGFsAzLB+zKhzoQX7uHPRijMAE7l7RgD28hFQ+30XXfr/D226jv1ilGIMdiNKSYJ0hfxpuslkXpXTsrPaJLrwHtzaeJXM6eHHf2UcBdIPkjjOdoxv33EznznJV99Q+u5Vdy+GS1TBy0sqB9ra0boA7QQ2gX1ZQYTW06D7d0qeVJ2oIHXjgXlO4rudzrfyUMuyH76YWtOo+fWo+ZWuv5xYOql38c7tSAvsyvCH4hc/KFuUTqbGnfwZZsdB/9tB0/uaffrC87iYiUWci9nIGY3np5FNsKZ1qM9OKZDa2LVly9vMgW5Lypy7BWEO1zkg3JO+9dGSsSlw0U/JYlv+k2pFHiOTEAFfE1aNnQ/2qTzTeUypU4zgdfPpsHGbSSSufHkdu1lkmM+l75CrB3mOW1wWKrm+FigZVPpfALN48o3GkcM7fofyvlBujiQX22y53bqvSK5Hzbz8UwlAzkbWT5dxUS3Qqrv1naRLmrPbVyZwdLkiQ9siFxVLyXPmTGKqFpr+UUwULlXioE6qJRYthPMqqAHtwvjYnicO4oRZmFIMUvwUClkZn6g1fyuorCcoVWy7YanoRf20HbAgvCo1FchUD4Zp+WGt9SCgEnD6lU7Djt2QNRhbGH0JceQgJ+l0pLK30CPWaJNvB6zhL7NnBjmVZRWH48mxX0BaOh497NHwX/KgSGbw67Uc+KUTrO9TWwPsyL1ul3GlURmMSqwF1g3PHuMHo8FCY5C6RkX1C2DcAtzFv8qBF0MYYN91tchE7ailFO/cPNHksTmbFKDuz/NxadzKWhz5XXB75mbb7cJx4DXrM5XCm8ieoG75w1o5JVKAfpg1EKQPow3seM71b76CaNsgkTymoB5yo7lCXLnVZ1Yw08+inL7qwkWIaDdKbcFJQM0PtjNf/5/5UNtHPHMhRGoxEiprAftIQBneVQJc/0aPyDzWR4csgQEOWYKP8dlcHfbef21eT7oQkLHzkVpgpX9dBS+7kQ8hCOm4WtlCTW4XTEqX8z7cfXY+Ty3L51IpKL+KHdmOpx9WMPC5VYCoUmfNMhk7s6DatjTcWJcOlzWHd7dZocqKu4XiCszr/qSyS9vwBOok15bf7K89ens9SM3Z5gF/unbwZuri1eJCCiNI7p/Fia4mBqZnldbvovWWZ2CAl1zZSArFNj2Ktwdj1ghqSLc49yKENQWTFbnqFw6DhVEfiT/FS0OoaXnKBuwO97ANn6YtVSBcxHl7+kArlmQ26Uy86cp7ktsHMK6nNNtPkGqGNMXjW6bqmOUCazcar4gTJ70NeQEzkDcs819FwOJ6Hv5VDMSpSRZhVsvTNWozvVZYys77K63qQD7wJSNF3r7cuIMVtvpDcYFzUTaFSI90hpHyCtZTm1RIlu9mh50iCOKoxZcYpPN/eG5y0H7gbIK56svJvNBnRZ8lnp54kZv8xCjFTGw2QcBuCTRfao4uhvFyy86Skh6YPWCdUMfGQYQL7kXtCfK2aXRl1Oz19yonM+9pA4ogfOkqCZXCrcYqnj+hIWsW/bsxN+38KGb7sp7K7yrNCLGXSkQFyWxd2LknTTlyPevaF6ntMts8Mf3XAQD3zSUfYl+0Kiwi+VtQ2ADwgig1Ii43psuI34+VQx7KoHWSZwJJHv07ozYpEtVYVqneMtiyivjQ+vVxwGUxjF0OMfONZnBcbBA89YhfF9EABJXBU6D75Kwa6HvgLaUTimldnUcY7oV5tZ40HGdEJrQ3XAUbrPSqaLX6cf//HquDzJyENexC1ABpWKuDvkNrrDyeKXc6UWLv2BWsMo0NyB55BhY2WHjoMsrPXU1OjF62bq1u0Q7sMdnJtKGk7+O4x5xZRoL10nbrwfiNPs08jm2Gtx77LkSM25lONXSpYS+EmiiQEHb6ItPBzNSC3Y7k8CagJmqIwFt9sqq0Y8Dcp+5NQjxFOwOIwoFV2N4urFcgXfPnaf5alqZVuUWi73Q3jnP9YmYnjb3RpoAamQwPTlFVywiX52i8gyGCKBoglGFHjCo/jmX20s5DTQK6DIPZDdaoPrR3gI42SIjZgzfJ85VaUgwbF5Lcsu87hhx9I6NjZC+I3tqrqaJVLlRNsVXIgGLmhYUo3yudE9jkEOzKicpNiXqGzsQ2WrpUN0f6SpWhiIOLm6VuhJI/Sdu9bzdi9H7grrYvYHALQVNQEuJgbLYhXzoi8wyGqv22cvxo/31PutXRS1p02kkqhLNmm155pi52HAZTUpAy5RzLzHmpJG0wJvNN1w2Zj2/HVHr3dWbHLluaydj52mHQG/Em+a2woa7whqmbISTv0eIrkUEdCNC6lXUY2EH/9tCnPkFG83+KzjIdOuGbKywMZud122zBvsJNteErOVoctM7+p/HnCYzudEl93t6hBmQTQ0qfTbr3IHSmU11hgR9aVVatKFS2X+Mc112T245CN0b0D9CTu+FY5koWNLk+M99Wg2z6UORZ5nfKWzL+tLXnO5ljewFsznZn4fZ6WxIX0LrwW9cwHMsDFufTPOhoOYYRXRT/+Dd7TeE5hqFTKS7+P/fS+todoyByHTNuiR2dWupp61BtK1qlehjFxBRSLcWUV62I/XqLG6+0coZowuH+KpZe+j4EcHKR/RiHW4qsBtvkv38pcwx40U7Bpx/sSJH8u1nouK9ZJ4UR+DGDN50hXeYNvvKOEVp8vr7X5+uL0JE3l/tWXnE1ggsDK3pxuvli9brrw6tGrXgVd/ysVH4rnXqi7ED2t04RYse34i1PdHh5z3MJszV1zg1jXUBaCXkh72MKQQRfg2jj+olhAqvCeOIpRXGZzZnEtYLNcnOO0/RRxcbAf0snD/WF6ypbEkZ8CH3fzDaYi+Lr8qI2nijw9AjNVoZMYLUtbx7fHea8G5ta0bzC+brqDRX71S48CvgzAFJK8IsWAOjr1WMQQAT3LkjK5W0WppKfM6I8qs6S86UGwCAMaz4pfB4i3hW2SJrcO9NjcOslO/O0zTeSKqPaJc6pN3wOl2KSk1xnaDahqp8+ux/WnXEx5mqynHIVy1Ob66CWkQ5Le+AyYKtikYzBJwuhudpBnfa4bgSSdybxxGTxMy68+iv1yXglqNepVo/0iDFMYEKMBCRR4BiTXuBzz4Ou8nN+HKpvJegVVZdGLA3hnOHrdO99dm2e71Z7V9214VHjqne9wJK/v99uej/xeHj8e7cc1/nOq9XX6eER5kzfPp4dN/3HwuLM7f39cvMwEQmsaoTKbv7u4hglInVkT1U/c6HZubRS19oJSsFVcnNJ7ATs/tAl2vrXufGpVnA+cQHRiCQ/d3NFIqoHGF+NWXqjkjtZWyfsDxZtkRK3JdL2CzcOSRpsnLL2EdSe7gCgs1dVt34rDZBuE0fGE0s65DrMuevrXUkv0jQYWXjT48NarmrF0HAGvAjSBT7VKeuKZNLL/tzmtiX2TjMTZRi2qDUWAvuA8IJLvNyr1tQZhSoTpfqdxN9vjonVlU/1vaa4eXxZQctsoE56X01rko+QWJKjISVsDUgcLOGs5y8TyVjH7AefL70O6p02y86PObYxiWW8S41Dyhxu09+kPUewf0J4o0siG0QEbfqxYlt1HJ/AUt6VzjMZPGyuPK27Uff6g1HdZugfJIHHWcKu2J+izkg2IgsqgZyj7PlAWfMaE5YHRjv43pjoSyIu1JpHPkbKzzdv+kWT7lNdlXmejrArjgsT/VdqQgdOLTjJxAuXbP932miyDTklA90pKJ1Jk3Oqeo9jiTEteVKYpek8f81oofb7EhH5rZQ134gvfPW/FtOek6L5j4pxuZZMavnwylzWfEGo2+E09zqV+2alEuLU13ckUm1H/bl1WrV+/o0rLvlEwPj/K43Zb9VJMUh4MGA+BZxOR2s7A+2nWUdDVCuLdtb9PVOjFew6pp2KDP20QxDL2ctywAV8ZiWkNIJjoNcHfMklmGlKiHSj/fbljIKzXLtOHNen+5lSXc+u3IvIOX/OU7Vg8B/9UEBnt3H+zBptpo7aljBqCEgAE/xk0tdC/4+H3bZfoBmTCe1Vvme9LB7UthPPZmIvfMLf7VgC72opD/DBYjBrdmlyWfFgolxfG5RkXdjbUIjXU6cY+pPxzpSj/RMVFaZR1oLJ91D7Nhy33YQkvvcaIjEh1HFM9ZQ5sVTiXq2NJ5etsUloQIY8SfVsXaqfvZ1dQxWrP5HVV+9TA5oRsH2jKs0u8xnK82RRw8Y/OpEuXSxVxwvdg5MeYIjaSAlRFcJefhvepvBH8ioJdAtlJWzterkuRx7RySuTGcN84yKmz5Y+nRX8Bl4bIWNGDPKt3swtb4TjUGsXOtMqOjXrA1pY/QdnrTe5bib0Es55LDVVBfF9JgYoxqM4f7f/bngp+ku59f4f8oAFRWd8ICbHT1HfGLj3e1OEf4GEvRU+Be5JPxGykB9bwF5JvzQNNxfZxRQ/3UTuG6rX/q7I6gNmax6bb5YeTS7Coe/0k4pIqr19O5ky0Bg23XrN2f9/r1XxIEiHLnXePd1m57cG+jFh7hw/IbPgX5wjreDI1uae9hFHR/9N1Q6uoPDjj4+Ga/1p1TEPo7K0uq1rKe58fX5g3+nrfeWrKuhKzDfdWTXYFu/xEFNT2cO+YlbDldUNPxGhNlVRxbl3cXnEhFh5ibs75NnrBTdXS4vvkhRrF/y54IXNt/a3r0qJ/Z34Lt4Q6qMUFFXOiRx8zscZn3eNeJ82Pqz315q4U+tZlYg5VCRJlvoiy0FbsqQcb619/ApkOLvUardJ7874GGE/UiMy6YqxcsYa5XK45sV6pr+jkXiYq8kFhpSZxmfmbx5CbCzcEftTMJnl0EqzBnPhv1f6jMyfZlEX5NNJX+BcFvtfnd2hl6hOTlniD+2rpe12Btx/Id16/XnV858jUTsed93ByMppS/8cr/6dV+fb293DiGagDVAchhsggROw4fABwSKIeInIR95sjbcz/QyEkf/m/CyCFi+tRb82h58WPZfA+3F1IOJRP7nhK5Fu2lNw4rm7X2qCgI25OYe6Rt6zy+083vmIL5kKhmGAmgLhor5Dx1+djtTOnTcnumUUy0Kl2ZFiGrJWXUlg/YR2Cn/cvoDQuYhcwoCNJnglZlUXbvFY5r6gW17XtltDGjVs64FEoN6cmZTo4X7OlOm25zkqXTtDq0bFaE/MpbhxtFCdH9KqK3bcRQr91+4IojJwlQjNNGJqhBGagxmb2k+txKbNUNWGZ7wRScQxz31VD5SSvCtTrvGPda666x+r5K5cTuVQnOR3yeHCI1C5xTZGdYf0T9M90wkCtJ1CLwpR8ak0aSl2Qr+iQOraU62jQFb/gWip30eVprA8ewODSjhm1lpzc0bcfdt6ycwpXTrPzi+uPfKinaEWz1/QkXm+/uC2365O9MJGOSJ6u906FDMRtj9h4eNoktTvT5SF8x70Wy3FpnENNQs072r5upx9UYyrgZoXLS27isWGVOBRAzHoviiBqIvh2fUC+rVtLkFiCNuAu+kq1MiY3GGjluBJLFkQthQUQck2dWhsZoXa/t/0Lz8xcxJBT9TptZUHKfvsaB0N823ZBLQ3MF83sGZuzLOZIF3Daa411K4lbNOBX2DFwby0GFg7OuLMALOT+o3fU/A0EiN0U3djy/DIeygYVGNCEIxinF2WuUNUv+MfirAeDoIfWF244cVys08i5tscIwAz6gqyq9glxpe+gGoVB2WfEAwv7WLDlfycL0xHmZ202Y6VKnsSkyE9OCC5Nvo1dnoRM/LGn8xCL9brW3GxKLpKDXBJ+7FbIpNVgirSfL1QJGggR5bmwTgZ6FqeTX2nX2pf3wkjxVWtXGKywaqXC96DvJuRVHCXJbJxdNfKHVZApuFiEgWU+w6YMVccz5GwYYsszDj25G+DkgfL6aqcasRhv8YTrRUDZQ3Zv9tp/QCzCEykTd/cs+lKQ6onYW3P8QwCiQDnrER13ZO+Pu3y1ZwFBdDkdWbXTQbx6e3EmZTQzedsVwcQ2ZLrgV6XlJBipkBkzvVqOGs06PepTtShaf+zm3biwrLDkA3FRv3FH9wYMg5IcoB+lYBY7lGWUv/oaowCsNNeIBffdF6Xz9i/Byz6JFQ0mGIGYnwb0mDHgF0tLHbdnmQ0NGE3L/ooWf++EDdsfe9qU5GR9KxpDb6SSNuhWbyu0ihbL+JRLyrmCYFAhZvtyI8IEuTiuMT8gVlmIMSg3C1E74zsLG0lW7QaAbxP8we8KONn1ynm6GuztuvNOQgDyfliogbVjwf4ZkAH8PFo/aABFlOc7Zr83J4a/uc+mDfjPAGLDNvZFkXwR7Tmi4S9KjeXk1c5DW+8Iuoav3UWpR/2uOWFzgxnpoMetFObI2VUOXliSYxObEDHHjMUtwgNuo9tFc+ctOVeOCrN7IZGToslJeSeZROf2+2fsVqtqR3jVsnTN+HDLyph4HpOSk1oqTLVbnYncTPaGE/XxrePVKv6wiuDgQEh3BnW3wwYLLbnPHMHr2rVBe7ap5yIPqJYm8gqknop8znjiMP8hm/F7nRxPe+TF3S4dRUdGgn4mtnhSikn7BDaqdN+eYlmZ8n/hI6XTL+zFMj2VXBKiE+Oipzeyf+T40Ju2UwMXiKTtyuA70sMqrqB6iSZlS71ch1HX5+IYpqOb9nahZbR9RiHhz1YWxI3oMUAtaRqfpimtCnO9t82Q/i4fnVOyMZn9M3r2w2yaHLzmpOUxVjhaf0HY6EiFNiLRAPv2HrpIeQ667j5jITXI85+wVMgFvn2kdjAz/rimypuzn+kRpgK0GHkeksWF6yJR0+vbGta59nDoiCVy9J1iW/avEMaHblYBOxW+9lSdMlL7cTpvQ6a2udBZR/TlWdsMXMbmOXKqeMLe+CRLseKp2OAahMTQsKEhaDnwIAqgiLUlF5sdSairUH3jXo6aUOxY6VS6mwCWpzoZScUUaYd14/enWsXlu7ngmoRfP9Kqt7yhlHmd8xwUAlXOiVYHw/7KhPIqyEae08YLMpXFcTphxcbYgUFBT7Tv/raK7wksKQky8t1KyQ3uU8V3EHskW+QTtsdt2YtkF/eJZVf6XKRZf+kEKlZdsk48cKwuvYsWmGMw4+3iwv6dexDF5Aj7C49bFKgkRzk4ZyQLSrM7z7l7xsAXzX37e05L5QmPdAAyrRRqyesj2tXdIANs5KqfUkVIvDVHQ7asa/sgfgEaY2SC8aYadLzL7kC5niyqAC6/kY1T+HXLXRa4JoUSzIVUZ6Rsr8T6O+X0ma6PoGig1o9ignWM/ptpolLtjgVKDUYYZhhuZ5LozQ9yqNdHJ2SB67NJXLto8LZLC3fnc1Xm9ZFh46q2kDvtX6gsJOGtcZqTQHAF8CBvZMiHIA7YLcOQoerB0lzBBSkJgDLlzaRWoLKRUvkcAcbHJcZVrsTjPzwx/rqKL6soE7KMU8DwaAF8kxKWm93ejekl63mFRVquGDY3XLrWpzFfdAUBOcWZGtqsrWkVO02roDXi0T8N3mKcSITz9cJYs+eNJwsq+mepmb8oSoCqIPW/16cmoED/A9JBHTt2HI03FvbWju1ZNhiuP9rRNKe9dRr06t4WZddiX4v7hkHtZQXemDZpZwsuZtmm9tIqe4O1D97Yga+P9h2iwfAiBQv02RJMPv5tOypDvT1tJWOWWp5Tv37EZPke5cRkInYP9DtmoEG8UfVJGhqvlFqbPgfEUB5h2VaMVyLTKhbQy9VjlTKmLwUpGTfol6m7cLttlOuubRgnK4RswsoQx2lMZ0enOx6ItOGjK97b/wUc5BdNrSKKceZSQeMpz0b/WIxsnY1kW248lulpIXXRqJU+kij+kwSvGRl0Pdto0tYO9NOBlDK4oZlcqJB2DVBNiZdaGjuTCgHir1iJTaxpzAfuPQK4jTGRi/9xKIwBJGTHZS06Pzj+tUrogS0RrjbyAxtZjylqV55hMPhfiU/S1JCtef32fJb7vttXg95A2rDKo3wdqrxvnsvfFwXSdV080oaGqEI9d0UsDZdYr739Pp+u0oF9/bkT1DGKAk4pn/ySSRSNE3URpFtdiFooyvLymByDDbZN/0p6rVNQTdwD40MwBz9RqXF220eqKIUTULxcVxDRBepZeR2m0uxwpyXsWL+NqAtFH8ktH94T8n6J/7jVWpIYabfQCUKMYL1//QoW0KhXTibN57u4VY+l7u4bWEn3n2wfZBKXbv563D0Kb0egbENQBghnEofPmkvQ2z2xyrqw5cVarOQ7DuWu1mKpfABLtjjJ2/oMmqd8hDFQgs/+eDHPB9A6qNlNMoAaUw6nzwDA/WSI/hmpsesCU/dV4t92mL5mj8T34aeY3qnYbArt49UOGFvkn+JTXp446Pv0upxtZzm8nZI0rfLI3NAQyTL6LbZjPVvi7zrkZRnN98QX9vHNDnlU9gnRAuLrzV7DJzg/2D9DCXHSxoUhyFrxwl/6R3JkIRman/tjFb/bM1uzCsG4eKgX97VBW/y0Cv7IpT5NQPlbEX0znZ0KjpFjn0VvKvovzECkcegYCiPXugejgvPilHAKW/f11rkFLj89utKSTEZTdJ6Jl2U+dbcM83B5tODLCrzyVlhTrehw1vI/yn29zNdicu+2jtCMUYIeVVxvUJljJOOyPN8Nx5cMjFt03VAmVh9Ab4bmEdRqPLTNAp+zCGrGRnpb9ORkRUUO9xgv6jGihwxMoF7w8xf0HZA4OJMEO0tp2f5gFth5XTe+nsFpUSwn0A25VR30ZXYEEa2NP3FQLs0WdPIqhJ80ChFEk5gpIAPxTUP/t1AfDtDEDZ56pFaV6NiXrV5tE/DopWaMfKFVn+nUrfRtK4nGwKEDNYFPhzXNvsVNVSw4NIlBGvKguDGxLw9pmjh/oXq+mGSJ2R5y2dzxzfKJOzFvDdynxWvaYpMzSG0qSKtdVauSTgx+HRB0wDSRLDp/RgJNDHIle7EdUpqLyLnvRkQdPErQvL+8mrb6u61CZXlldpM6vi+V8CMSNItaMyZqREoKJFUQwQ5XpalI2lOoipPZMSDLMsKzocGMW4/WO+SmNpi7rzXgc/ZPZwTbUJLybJJPs3Jekb0O8kBNN72YI4yme/nBKekaTsZ2b1zlCL9Z88esOp4WHzRAE9lS+e3Y/84/Czn738/UUWh1//u4bs7vsfF0ThceqH9LpnbfDwlILX8IHULidLI+YW/cqnv6UR2Ms0v7tDd0s5ft5wFzFXHpq9O6ZmaECV+Wv23cizGQJ4Rw9mZYhqXmCVfWEpQLQjkOkgfhrdvZXaGgVX5eboG0V5zX2DShvsdrhiKyF8EI9DoCOI98iG0Bz16Ib4a1LC8HW4BjLVt5nYdc/rBqzgjl2QMXLK+z0rOsDy/F7MA8rRfsRgBiVMPWsvxvSe8mV1D+u8a+jr+WgbvlsCO+rOI6Ps24lsBDZuBN4yY7XoTVUNtUYFCrZfDO6AOMyDyHM/BZkMiURWhJmyZi3MHT9MTohaYBe5Lj3M5ek9Z9wHAWE11FuN1xKW170sfoLaH/VHTnL7VZNfEUtJ5PicUzTlK0SPqPFk9mvhBEvEbvzF2obpTvy8Ons8zl4nG0JHJmUxycLCKCYl4ad8mcuEIWY1aD+fOFzs0VilsjB9zOAEclDfjmEPaqrOCPhn6bkyWyIHJ1p94PsZr885JIiMfaE14OGHJQNmdNB7+IiofQSQWRAORCzGmY9JyfL3EqYOwS8Kchn8e0iCu2cWmHNYEroYCgcgxVye2rtMyKWl0CnrI7pvxX2tzVEBhsGEwxoEX8hcEM6VtuZ8p8mC1SpVuS3Dg/KRD5izFWdfw9+mesl1lXcLsJlTAoA3m8YE/YbJUi8mTAsBVKcIbLLrvRC4k6MKIZKxDNqLi5UjfxZXcDfx3MRG/idrdetyMicI1975bPj9Q32CTa6wAd0cQEBOF2Q81SUVW6MG+UJISJln7uCGHiFHL4xL52jvQ+IwIWruncv2uksUp/+UsIXWfLv350wil61E8ruAwP1J6Y+h9oG4+gLdlV7/ZchGTxYYIsWMjuwNFW7wOPj7Qsl7GPZ7vGtOlAHKedZDp/e/bwONKnfSSj7vW5VzB7RVbROGs9v0OhyEeFt2+pzkp3lTYdvfNwdQFK7r5YnVrFQcK96G175SUFaB9eFtUOQ4S7rUEhyL9BbvHHgxfdaru+cB+n9BtrXQC+yqbRfK239vHkwE8NB8fDPUEwPDdMO4bti3gsM2845dax1hzGqrHJ8aM0rxuTsMB2raj7hafCtx/gYMRnbas4JO5pKGSTXudu0qgjzlsZP5zQpfaWC6bWIonYeZqpq6rvNAhZ+61z+VX90QjFPDhEh81b3l2ulW/bgwpbbbjjWfkzp8LpKSipTqrIu5VMxfG59Q9vG2BqAnFvNjpaH65W/5r6IcFE0xi+XcaGq72xhwvqlIi8X/327M9bvfBEagrUGED6STyTwAz0dc6zDhbQrdhUQuwFQRZ4D7sWzbslR5eRSVbsO8Prt8TYH/3+wB1qGs/SqyzQBEx4SF2VneKTeXWUaLEI53pNKrY29PdOZRDXLoAeUvG1gR8FQ3D3cwSTmhrs0hv+uCRjzqe+RfEg3X6Mdy8occ3oW2TIbEudNV+cwpRBm+r4X9olXwiBllncM7ICOAAqSjYVwpGSUZwDgFX9a+tfUNdv9qDGfbnDLHBNZ5P/Lg2q9cD3lpCeZb+/ICpvHtt9wtOhDzW48pGf73OgGo45fFZiacHMLEXl5n6fJ3LSt9BHLgc2WOalze8RuDDXZxAhB+3X4ExCdj47OKeJ3jsqEHkRpCyGzd1ClwZC2euiVE3TwlFtRatE1RpobJqXEYBcAitPUMImUiKJB9jyn0mW45Ykby3a0RTayQLwxJUiTB5ZNZlGdzXxA1cVbpw0/Xay5kTCSSBXjgehIJlygAsYv8tCUVqAWFkRJA/+lJWbR9xlkZfLsq2W4rJUq32UFYgsWd4Ckzwuv7tyCjjG2QCWFc9Piy0TyNTbvoipEAZ0445Zqta15fiuTWJHmTARVwMXHUnEadvSnisKZ2UTCPcX0JfH4zaZSN4mI5KGptM6A7Ja/qO3YogmXTic5/D6quteee1M8SYiLUEdbVm3D95HwDYfQfvILYUdLIwelRS1KQEDt7XbHBeazipGq4SPj3HrCXoz0DlDMlRJdUECEQI+w1N5FcU8iDXx96M1xENmD2Lf3q2rYTtj3+hQoMW3pCoLlmC1YOCxXcML1cG/V7mLmGZC/kWlPP1YyLmqWBKAj/WWKJcrAkVJ+CXR/FgSvAGbWdUeG/0aQZZaTn3H79vxYut66krBihRqmQiYz6/mdrbvzxkXEIYaKgIC7+s9Sug/gfd6LDyhQuDvQlrG4z2urA1mvUBbZkFZXMQYrrdQ+Gijkfj7J9e0s2BbftoxjfwU2b8ot4a/ZMYhS+o56/Yh8nIhXM5VpLC8XULQcFOYOymK7b0olpx7mckdRWN3/g3fDAgXYJGa+w3dNgtjoziLfcXRL/O/Z+eSYaUKOshSf1yimapbQ3JGxYSCZsmVVotGMOkl1KiJ5+dqnR1L/jaIjzPo4UxqOI/eNe5bGuQVOltZXou09CLgtsLxvvJa94AzVVU1ivH8gMxho4mr3rUoXtrHDkoQIp+JVRTZH91uWTTExQ5zIXljEP9misJia77gryfLHVKvBtaZ1SbpRWd0ifZMJZgMOvxtweGzMpsXpG3Z6S6M/RIY6F3LrL5meziE2qgEEe1lQd/pjbVelWWHrumdJ4D61GK7jEg1XADGtT0JHOKM2cwqr8TddxQNQ0Nj5+rlirJy7Pt5v+afoGDWlW3S4mYCSrLxv0WsD/D2rLt0xZM0NmC2RXroGedW4wtkpGVxgkSp6xm2q7siH1302Frn/t5Yz9jPat2p5DjuH0DkZW4JljQCZrP7KWvFESchFl2+hHqNTx5/Wife/5QsIScAmpcdCHE/GAaewoWfMxeWtIP499RvMzc0XSEqdhDUvxZaUho6w/YGPAvR5jYsWtoANo5BBJoTMOgCMqMLjIPg5x+tGOlEP53g5IRQdMBVIxf/3yTpv3QRRQbo3tKbt5h7lxXD6eNxF48GFIoy/NZyIjo7u+2aTp2pBmVkkuxaRIgzuSTuNv/qzzj+3O2azF2o/Y2oBWin4c4e3gTgh+1nu6qT61AxEN0HWrWb2aBN+zJ+JbK2xKhj9wTR238IZuvn2az7zFePkrO9azPJXVxej//bvl/z99Q9QyPbC3RxXY4/yt5Nq6fbNzO/abhW8Sr/GHR8bJA9/0Nv3anzLJjgH9XNjmRPipVZWn7rsjbTWI3AbDXuXYgTueDisfxDqOY/hFdMKL4wTid+/lr3nLyOFJtekpaiQuzJTE9FSqnQXZ7EwYgdPGDJnFOdkUYmaorJApXpRv6fJE+NyMrXJIvOQJkx4hYShf6cDIUWPFlGPINCVvCpPD2BK1A7+3ioEhTjlaH1N1YpZ+RMtd8c7LGrrmVGgWWh5s9Wd2mjFKQWrJnThnFdBmzMUOWnPXs5iOIElkg9UxcQyfnsIYv0lfr+5uYCKm8VX3j8k/JulJBfLceunW8CUTpEuqClR5Rh6UMg84+gRxZ37XOWJJQwLJwOJ/y1NTSvSR44qAtJcpxu4LkSri9fCs7CVtoqqtLT2knMAR5xnUlvqJrYmuljTH1zR/idTkhyIJgS1u8ciuyZQAKUFbRebilkei2/ucduY5OgMlUg9StKhiCfUTTJDo2ecTrHhqRYIKhrrqgLTmiZrhmGyn3pcmEVRM1d5V+EFBdJARlkmXOz10sPfNZjMap8oJrKEFZddpdhHenY3qX7Twcw76IrUYeMApAmMDt6xRhKJ4AN/gkhq9HkEtomRzEVvWgqpUI1yHPFJ6tRnZyMNDsns0fW4tzca5hNF4EdYFEH7hYCVwplERwMd5USkwP9JRurKPgY96PtjC7ph1ElHTjvauE6ciHaYgPNFdh53snvP29TSlJ8VjtrSzlYjoZk0Wap6tQtAeFKBAqCo5t22hLM79JSR0/QSgJ0ZS52z9ldqfIyx2BN4eGmQ+gtQ9FwtpjdWLukYI3kpKtvVQ6mlJvsaZb7Vuogydhk1d0LByIFDvA2f0WYQJoreFHXcodYbNysVR9WMskBF9Rmh5NSBYzYq2nxW2KY2vOaIacOOnD6tIQs3r9nT3lUlwwaiUFTqiUvVBhVTKISd4TpiQwxjYcUZzQ1zx5qCQUsG6uHsQ6OtklFcpDj1qkm/WQyLs0Jkl6PpZGUfLI1iHESUyJ20zH4xNoKeGigXl84pJrwZnHml7CPZLAzB437chF4GXax8rSEWRh8XBkHZBiI1wbSizgOlZ2RC4DQOCpRkiZICZ+L7RS3WnSk9XC+gPXl+5UpWRm6WBfAjGfzhXpvHzDik/3Y2thkrDBjo52u2uDGhC4N83HIv9mAPi5yxxdseWP5aK//FUA36ZwZ8FVlVvLfa2Cyi0J3xqbRAaiAn/uq3cEcVoA/g7rrHsVBBW4fWgqeE7FiKYrE+2nMhFGZsuRwHgz/q1NNpuQZTb13DPrY2YSV1fT59Fxle8K8sAPwH3JXmwi0IJj2tXGHU9MMGFP0HM4yQPAVshfhzl0mKMirUTzYXsEc39R2VhEj7Fhp1DgdHe4EnR5M9m5IyOhaY+DqqzIQsoiCxZzIuuSfgOHj2d6gSGZgk7SWummK79leuxo4x3Iav8sMZP6g3wDNIHjNQl3m0I50Zi/5TIuXI75md2GCDczkCLeIYIHCBAMD1k/FR2ivI4pyq8QuIXc3wh7FnP/ZwVVQT13FVu5ACECnz5nYjqNQFelOOFZLMkF/xBoU5slnAfDureBGQV9jGEPJGczCpNwSZSgMRb+f8TjgVF1CfEquKWHSjgNzFqK6zsaZJmEcd3NkHGddXqLfNek3WzV4vjiT8x8/dlpP/MqXKM//e5v2jyufRv98e+7z/3b+lW4KTgQC6zjzuDfr8EGoL1mx2p7mJ1D692PZGk/RXeRj7NN4H2XnigjEutWN0C/zVyEYFCcre/WSXsKA+uPm/GwPkPYv4OnAvk1UK/oGVAP2e8r9P8LwN7895hBOGIbrX+mvhD4bLhb/LrQN/5a/l+JceQAhfq0HtKtq/3N/vLXpabj6D3clndeO657Ytu7RPhX++94MeGxqfkRy8/c7R43N+X/n54T9MJRy6OY06rVkiLBA5avOzNq7CHvMn8b+aqcstq2vSsDJQli4YEqWfQPl2EwBonU/foYcMe//j1Cy7OvUdeePENR8u+tbEsLEkG/ZLXoGlmPt29u1Z4dsqN6weEbGLudXC/+3sss3G6AoAMKkUlMa8xbab+W+AcdYkqT5BML4tZ59gQj51dKkVTDrRHzL1L4YdLbOP3MgQF3WBy1nj7WjUPl5bWJrx72heTdjbgCORTF0CF74mdUQ2bR751GF87h+LcWs55m4qB2cRRa7MEZzxtMzVji2ozN3eNg3447vFzkb6vL3M06nD5ad1Z/53NjV5A32bPz024AeTfDEeGLuZuKMFukIs5MvDxu1X9L9K/803cFEbHCJpYOdeLMz5dS5DjR3iZNLRk8/yDUZA3nMpuv1aboP1Jl2BPd9/HrbjvsFZp8ZzzGe0fM6zJ/CNmIRlI126M285baCldGUW/Z55rN+LD3gtz9PWuWmkBGWjRX6rLPy9CDp4I8obKwDW56PRzI08M9sJsfW7ngxci8n1aerj2yb2YCdaLcegAu/4soL11ys8TekFUZPCy07mPk7+gfswF+8AfGVQibxBKaIHBtx0D4LoutBuGeSAX9Nr8AHLINSyilZNrUO0PmlDOb73eWDs29fV8XBgnGHd0Bk6s/1hSC4G8JuqZ8BxwSBqADQT27tZJnJulqnptaG6zSkm+1UD8zfGyxLUMhmA90JTaRpxIap3jGC5yREIQtSaI9ReMNxqsGzuieQfBKUf8qSYdRAVf/nBcCd54zg1tO8aIfFW4ghDn86AYGco7m2SJ6pfGU076PszHph8Uextr/mAjir7H9Pnqwf1jP8PzU16m9VDsjTgwKt7z03lXQ+2Xq1pOkowFttBdobKqEp8S2AtR9m7e7kZl/8o/Dprp+0F9aeTE9+7jPb085VJIaJHVHoRdM97fVAw7O+UwltgdL89QODtL1MMQdmkvcUFpzi/0cGmPhfHDv0s6XSULB+tc6NxtOvnH5XY5PW5+rRed/RzFKrCDNxvp686PvGnLULzhaP2xRkudjAYy9v2jqUxHs1/RqxQdix7n4mw0+igEtaCjDeYsbZ4H0beuIyOjj4/5Ef364BSTclaHppgdOG5LNnnOFchoFtknrIVojNYJ422Jo+5g3Jj+zMxp9eUh5TwwX3afHrBE/+96v/rbqpkJxBGc/CfJ7vr9WtX1ufZ68h0J8jMQrRWOXYmJ/yCkc5NXVGSo8HDmtNvhRJB4G0NIgGXLNUjYjWwKB2G1f6k2UGFlgRPsk6k6fJ2VaVHOzgLJL5XGkjT5udJOyaM9Eq+ovZyH8EbR4htqPlFvUVICB2CuvYQR8maSkRJZ7VjDdAPU+raXtyNFSBpEfC1vQdE5lBcuAVQmieHBxhxqHJuZdTI+3I3o5HODS0p5sV8k1E8Y/TtYG92BbKc7RNUOwCg982An5cIwsYDytSYJfhlqjxP9z46uZmLWM+YL1oxrTv9I8vLm84hrMqkF/SFEremJFngsXlbkym8JrzWLNyGMZchNfMeVmJ/ZyoMlh1Jg1aWSLY7jfd6mlxx7CaDj9g2+IgTRqXlReBp5ZykCSJoAJLjGUSnDvfODvPZFq74kB33Cxm/dUKlJVr7WEaLSRIrq+ztHY/8O2WqFmwKZy5B6g+wZCx4oqWubhkE3qYL3BOTcYQPktXJt1Gj2uaGUPDPVo6IjHRFpd7TioXCCmasdZXiXJSro0a70gZg/USHJccoSymeOgwVyLWFdAM6tbjPKRfw6OpdaRFMSOehK7qGpipRHUJNTM/AIaf02oSdfjuIv7nQqftDzy11i8cV8vwr107iRkBbPD7IS9u+Pq6JL2pi0loxtk2ZvdfoVtzLh7hwl/AR9jk3auJVaiwEKSi2iSYsevfUZIuy+FpnFOrXwKa1DIUaHQRhW4/BIYlPkvQFiiAI0QPnw8rc4xZEcJFc1IogCKk/Dd3Vn0WEX8KlfIB1rMsPJMTA4Nr574xBKmoezFiPyN+EIcHrQgvF7wS3kaua3+7ZLmP+ZHaghQVIK1TiIN3+Z4ppG9d9/YNolEAZqdZyI0wRM+2OONU+sSrqtsF3O9IJ8w68qYva0jIp3drHp1Sm63wlzq7/PXnYWrKcuFkxFz90zGLFkEcAjmQYYmuaOyPHi6bkJasiZws8xCSPj8U86Em+MPII2y9aISYtNER6twSg/Z+kIj16EL3Cr33rjTbB9mQJ9mdZIQUuXIdXaUtMeUDDy26JPNEjfmKpYP+Wk9A/MsOj4cs4lT9tbWLTxC8pWmU/W/qsPfpNwvcvLEbF0s/4S2t3fhfFVvXWxDUak9fp0wRh+wVZqI1pQEMe+6slNF5BTFkmLEglpqW2Z8z0zK7HvqEIlCyRlTP4c2jPjAjGvkZ4lp0PrTgMTj3i73zC/l8smU9FoiiXibzjkz9UdS47o870qj82pEHmdux/EXSMq8RgMBpXFIuT5W66SILdsQr0yWSwI4HKHMi7w5vbjx59idajByO1FE7nAwjDJGr0S8O5rCIzUVs9N4wDdug0pBdlMOXV/VtQ9ol/SYFSB5gj/kJvOqHgu9LLlq6/by52YgNGtjJHGw0iPbO1tKUTxpv+2bGIUQFnimnPwyowoY1rGENa1jD9KMeRE+e7NYhOZliOUZjpWyjqsFpUNTU36ZlferQvp2KjNJpK5rEDgtxNIFSXYU9ipHfJv56hSiM0HZjdovPJyunkKhzxZOFI9XJcdfSD25+qjKof7eqsaaq7cJMOFebtJfjzeWK1fVTKqjfW5Xq6hc3EsH6dfC9LUZORWnqFmkSVVLtixi6TNz7SOWCLbd9NpljVW+9wCpjTuVhEvVTrm+52yTc368FWE5M2cy0/Xp9/eq2nPiKY7awqD80EdRIWWiaLXr5r7/gszLbQ1SvNhgiDzPRKNFdWFPTAECS5JQ3tQVan0FtxyhzlxUwh3VqOS2tDssEzWwAymyb8jvNamSCaTETIAyj8gdT365IiqDM7yVToMSJtmZEMz7YtPL9Cj+Pq3dr2NSeF43yxmZhWuJzYTyegnu+4P7NbHf/8zfjGuRzm3zVNsFHmGbu8AlHODfg0f7hqLnsLV+KjgU3+pP0Z/d+hIpOkebFv/us9SOJFevzk1vr18/VdhnNkoP5k0nFDa5UKRZ4wh+uM7te36jeul+gFB9N0I9G6H9YJhSneURyLc+YTGcrU/GGt+Ptpc0elDjrSJu+n8XzSHPDTWTwBX75CqzLZcf57UrF1YhoHUv01Jq63L8vqJNsLv+7PRN3CNHUbjSjdWZFc1y/jsaaIYHHPH/enam9G+GfovPP9s5sLKneEA3P1WMu9/n0Z22fEbYIlutdFht3v4pBATv8KMM6RDfnJfGgnpETV0t8lI1RvhzLkKtdRm0LfL+HIDFzN3M3F8/z+beEjCQ4703cXgLGRW1Nb9+Nlet9ul/+eJmyOfwkam9uuRr7Xfm93/J7WRfO8t7/cjWBM8BoFyv5hj+eMuWAMbGx5r5XxOdv8+h4u3Rm9O9BidA/LuN9TbxK0JoS679C6z+peXodiV3XWFefNbYY0QKP2X59fBahq+JIqMOb2h2NHDGcbXRkuMrIZdM+rBeO9RdlqlkMMWd+9S/8xfgsci+VUHb7SapT3QPVzzXnIYdheaAtCv1JWpNcYNs3rq81+VOHtzfJLqdoPN8URHRfMco1xCfLZZAgq9BRlsf9tsXzZjSpRKvLJISgwdsk/EUpecHPLFW51T4utzMDNuK4VMBZuqSAwh31/l6KZ2kmIm/4+yroAa/SvzooMXXjzxcR/1xs+sOXIkZbJqcKQATkk0XJRn/KP+3Siqq0bIQoY6BaTTlYsLQyzjo5XA6XLsrEY3iW/TUfMrgBJ/G9MNi4MtSv8B0/QmRGxpwMGoT0X9UugQZpezScz/6avYHbHTV0JWhNCg0fO/wyD+eI23AIeSTb/BG1avCQGHWk5SWbakJtofFPlihzoaaAi89RCfik5lqhli6Z+xfJi1BbjJ99Ytbh6x3Dai2+6xF5WosbizXhaVDodSQKBYsuYv5TJ6p7kFJy1QghKZSLRMFCW4p2EwGntmnRD/XX3Pu3yxPg2yWSPfpYRPALVLr+TxA8B5R3fX/KSdhJIiH1lTi5CWrn3AcVckPtywjMms51uDv+Fy+eFpVWwdvPSq+yKTCyoPfTQKSy+MDfRacSxxA0WYEKsyjnyeSX0BqxBlmtojVwXJm6nJJoSte6I21Pa+j/kZyJ10otb/giQgd30PNjEWvGEnTBoYP7+CIe8LgE/a2f1dTDsisd7LTuQ5Nxd+LeMaOmU0PVjmVIy7Y8jUroQMKF+PIZHRJypk1Yy8Rf1ZOS3/5LqfdrHPWlseEz5IAEquXtI6HRCYQ8ucP9euABSCRduBuKHrwt+YvI1+fYE3y0Xu0olCMOEmosMopuplN3bGtMYd1ZZTgwkt1abLye5sLSP62PS+BxO0r28xOKPWshwU9x4C8DCbRiBwaFgF5J42y2aAkqRe1ibo8ychOP1KJ2CUDYdsk5d2hVaLyKWBYuizukRBtsKtOyZvIG7Z+8HeoJQlOdw41rj0gNtEw3p0ok3RkjTkPzcYWlVX/JBF7LM06Z3c1RsKcmWjz9trEE0t5TSmH+lUOnxX79cQmcBGV08ubUarGWWodOYZxtZjxdOSDfRx2RIGMYkN1V+Fnvm7PZPzMCDQ7oP2h+CRSmjeESCd7/DNqwwyJbEbgBie6CJD/yY1F4iS/X9xmaJ+EFQCBTipFBWnYg0npEA59DKiSBvsIXcU7XbOzahK+zKuWnE4fyc4QKERycZU0JU3KMch5LlopodXhHb1dPcKkfbXsi1hAi1eoZx4nwIJ2FLPYX+yL3YktaZNjHVz+OqzuFKyOIqUJBwjzHRSYS/oZSv3kez83Kw8T/tGpbgUTx9LCzIUWTfmJYz7gcMEJL2n1+JYEtNHOoDa3ik6RbmZaACD2gRBrYdbIMtwP3uKRR84bTMufL3ine2bwBQ93glx7F3YAI862PMwu3DrdYJsflqntHsDYrcT1msvsF5fsTSM0pWxmXL2NUZzLdsyP/K1kAq0GCszB3UGQvUny4ULFNh+gJe8SzIaldBn2D8DG7V3aOFu8vmnwRLm1YWAJR0WbyIWs5BUEXeUbKBMvWYkhcq4YkIqx5n6FwqoT5hf+9q8RdIdapMWoV4DIL1ZLYT6b8T5E1MyLRGhTg0Dei5dunee9e7NVCwph6TbRvN3KF4v1TFEcw8Wq/90nEjD4vzfjcXZHvInpgAW/b4pkTS1q+0DW10l9oaQQF9nn8HLQedG83VCNdyRTkC0whSDd+tCRbp78AO0WS/rPsQeClG+D6YnfCTNQ0fkGR+ydGyD+R5akaiBcfPjceKCxvjoqkRYR5fSQtQuxJiv65KzY0WBtUzDyK658W74NZR/mntg7brgBghn0xX9PgQAeliXT05fxYjhfaYHlSP03ICR55CDwq/IxPvXIjJSrCbIQgayz3jamaHapz7wStCF6ehiDIzPcpQFnzfpDf8UWg7T0siRspOrLFFJvGKnpqrumhX9TnSp+ib3E5Xdk8+TUkKPE5FPtYhtn8L3pi1h3mj8G4dFog/QaqMpVsgCYI0sq8t0I+g/7jP6ZNBXejmpH+4kvnU9ozM1Ve9ubQlnypJKW90LUSiLktal4mySlaxIhiwSaLS7KZrWMeePyAE0g+0/7nNoEhIxyok/25Pys/1xYtLP4k+amLTQzNrmCYQqvJ41kWOFn99RVYYNd3NQtHR3YXrrHtMgNjqewEVoN0aWx1z7p5tBilh4PgIJtFZ1KtZIqoo1ONiRZPcRZvRgTPDLLMpCzAJkGhNfMbrfypbeRJZ9nxkBPRoi6XphHLoHBvpZaRT5hIPNXq+0lC/pzST5/g/pvgR+TLZ4IYiKpMLn0s9aqK8eOxM6klEAgwFPki4+DL7BuM80ErxGqyjgh1Sz/0lmWmAFtmNMmY/i+IVeoW8ZR5Hy32zqc8RL9ajfTyuecOoYS0UptQHpTip8uolkiu9orZp1BjGUMNB0y32YGKDjhcG7kBmVzvA0cPao0Pgsg952xeSQLSfW5EXqdnBx49llXUTGtDkUaFC5wxBomzo5PBs6cWAmpE+vS4snRwpdD17/iCdKIVxqlBnzuvAr3q1JNVcYjYUh1I8VcPEZ+Cw4eLdd93zcfLAd8JfQCT3pAOUI6RHTQpExwyVF3PTz4lHgip/wrdwcwEYO+HjFzrkk8xrtqb7KSIoGhBT2qdmRgD1Z+HpcMPndlbjm9oW0hiir2KPJ6ylSD03nlI8vAMgjjKkwyxRVxmKWmDqRVOneHDAq52IhDB3hBxg5aegqUdohW+mFj1D8ksxx4HJQiNg9Rs5TQy3srpGYXLZ4gMFFal6nKqrrGduEyLYfnPdZErv9obWGotcKt1bdvl8+XqZfhngiPRPPQg5KonJguQhRlJy+RTZTSytIg7Eb+j4Zp09hPn2hWgfLyCMzo20bFWw+xPF1Zk0+vM5sJ0Uk5fzbm3xgZ9msRIK9unldOMdi+bj2Lpy0jJNveIY2EKl8o9MK45k69klTiYQsUBMhuLh+ETn84jh8KbM8QecaYQuOoUpk4I/CVO+0EuEJxv5f2XT4rfS7m+pbf4rwieD9YX5Sd8iZ4p21tCeIXo/CZ4a+qwTyDf+wUPh+j9Sa9gkILbsvkiqAwVfmkjvJPEILIc8E5mbm1M+0s/7frKn1Wmh2/0H2a6K4jWgY3HLiVEfVAousS9gVDNuPPKkm8zX6u56JF8F97CBfAoqXNXjMoft31MQEdsMMEAsWUijKwmh6PMyDjqjB+qz4q4sdmFcVrktuAhTlnp55siSHzTbUCN2WYpuG5kLt096j8yhUmF19ejodNCaafxpqCcCuHTAgXOEm2sMle9VV4YL2khn7jIU/hY1LDBZ+7OJsfSAvInCpKPiIvUgy5u+CcgCzOB1MULPymRKK/xnJ+Ld2MzCQgljZiZvWXKibYWPlPMinYJ01B8RFViDr8IUPKeEvNaQ/jIHkwJUkqJ4GmC0PEBIRDTo6LyY7O45VRhJGFgu+M9XLmvQQOrzdKsPp7N41FkVnY/8RVxNYUGm8NNEsZGOkYjiYUnKWJKxIzOZ6vV3V5eQdCE0U2XMyMCWXQ6s+1WVj6JLZmlV/Xtld235ZT4xDHvZJjqFbO8gYyc5c4bZUoDMDyAuoj7AtA+WRXQHxPSZl6F31QyREXJ7TZs1g/mx9Hw2T+f+ZOuDFIjehlfwlc9bbKgZvpooUbww4bCJAWxvUUsO4XJoshdvW2o35wKmEOXHxRmcKWA1iRQaVmlm/fybKnaCYzmxldE1zGx5R4M+90q64ULnUx72vbZIGRPtFlvd9cDAT6J5SkOcnjuj5kWExCrELICIbD7+Rv435M+yLxKxFTa9yTAfwwYQwP4HyPhf/DcThzaIHZhaEACZCT8D4cWgB0YmlXi63z/hgw4/0WF9c26v1KcwM6d/AUlOyDogN7LP6AUeWgD/zk3V16iO+kBKJro0B/Kz8430T/e1wkcW+bsuEl/2rXHFgk4fe7Rlf5kcYEk1fg3y6i12qH3aKKJQzCn1sK2bbGEB3dn9YUCAcz7i9Ht/fVWuUqeRRkzPLU+BseODUaMySIaH1Q14AgafCFiIvdVv2M/eCiRGH6L/lUQGkuayxvx1d4RZbPzoEXYkrkIba8NhCgE4JOKP82YKvF2qEUcvx8c6BytR5wNjk1cpR+svzSn8sDkRrSihyMQ6K16pgyzo7FdVyY5zzriy2r79JJ8tMvfyNKKbWW4/Izf31IKG3JyMN9CKOpP+rLHiCjBqwip8emfIbR/Ac1f3wo6XgBX8oQnPIutXwXkTMMAsQadmGjATNngc4xyMl810YVK22pXDCqOTnwWWBb8FW2YqUGmSE3F+hLklpg9y7FzcJ2+sz6jZPiFSDX/EPsZLskKtXyP5ZsTJrNeu9BcrI1EqS+v/jOaYjk4zew/m8BSl1Vr8DUv4ARixwdbJ2g44xrakGmNypZHWphzuExolvmCeL8w8TO3PL+l5CooN3O3U+6yCupITnprF5NEoiQbcOHObsMlt2apwLAvbG08PE5NZGkXBZd8nmplTSGkgR8IkDzmikmppqKJGUI6aviBlXP6tx1NZcVgVgUISlOzIn1Em+EqU3CCIQUaDg2Zl6oycinfUnfBuSdEtqvYmnTFYSKRYiSTXr3PZXHQ4IID4hJ7lg+DIZv/Xt518GXp6NgRHkMHeT0lxO2Y5SCrB711BiV+yYbOtseZTTIv2GMHXtb4tPTJeKeOfRbRzrc4xd2ghsf2flpuht6PZH9QJwFjXkbYEFTqZemlr3ZZjJWWX4po9aC+uZf+tYHaToxTMMz3s/2CR0vS873Xl/V2pqc/SmconQz34oMt5FwPUwuUbHbsLCydfRmUmzw33V/RhwPzCj6mVIq8Ln3yiVGeeCxPPJUnfsnGLDxR+Nv96ZzrX1/OoxbnSMEywwHiVBApfS7j3td824mKwD5IcZWcpOLn4UGtjOjrKKSg2Lux8Jz5Pr7X00jUM4JoGqiv1KuP9GbUzDhmsTzlCpV4yRhbuXnSA6Xg796oJExXbfhkbLUgXzwvYfI/+y1ujLfm8i/qsvBjZhVIsYsWqVV0JYFrBBVwO5x5fF1EANm8BTHdbjOHt+ieDbC2zreNs3zuwjfJDhDaWvXZWvoGtvksWa+q5RD3uI8ueEy9HBwS513br9HW0DrO41UWGM/mSaHCD2THBUl/aJvZBfHH2fo1r5aVzDT49rmdFCw//zvIV/gwguPUXwpO3T+3GfBnPyw/JjLC+G0SuyIB9PCZXzwiyfhTbku3DEwkscNZhvkdALRNhgDF7u3jVZbAmCsZLljMl/cHS1k7VmMRGZUaA1HfQarh7gh/y6dQEKgUNEAQRtQqkqJZlNOHxySzoSqHMVDnSOobz6zju2uSP9qzR/XbQ8idn4FrKFQUy6A9vjCB2dHytYsBhzlWiOkHDVcA66aQMviSl+cx48S6yBENgiiJEylLT3rnviEvpHLGBLcBtTqgz2ZzmZHW2LB2KR+zfLKIYWBuxCX3mUk5kDZ+ylgzmusVdia7rM2EmUuymUxbxWw4TmYohFCWaXaQYJxNUzENyJD76g3ZUCkA3QSkCAVZ8Bq8QKEHPuLlDGrUdPZQmobnTyBCyvNXmjB4kEWvjmIl7Z07sCgiUOezKOvFP3eBtnwdTUFTYc3jd2J0XOYCxr2oytIXvXnurcxGg2OmzMhn9Jk1qgYbIrgdfFQeKR7tYsYUIt/Pm2ur96g1Lr3dUIwqfFYT0mw2k52GPzPJj6+BH0thUXNSBvvzBj9mmfxsbPurKoHFGrf6EWT+mVrfry+2Hi86LleDOAK3IcnR9qX9oFQODjS6YhN1QZTP8e4Pu0HbfFZTV1RNRYfYKutSWODRzVpMaJyQyT5De95b/KWWGk7EpmSEVLn06dmNLTkRC8BUvl3QDkmivbZVMJsbF1hOrNFsMLveKAx7Pa+zDYaovNjkAT2IQjeZb7+s/5yv8z06r6NlR0qGfL6SHAYT5t89hmyk/ZPUzxqCU0Vmyb5F/xSy+QPE1k0ufh+1335eii2s6weyaZts2EhrhCB2OfntOzuBeDiVkvQinLU3p5O7yvPWe6Cu0SbgrL3083hcFHqfJ2R3Tuby7GHAc8rhaINUGNvFXYBh+oLRzGcZRN/PO5r1UHbY7l9Pg7qNgcTPHGsBcEY5UgM/EFXlYlvzzmRhFmeP3qSwF1pNxqdXoXfAIWxKexoHsve/bk5mDCWP6CyQ7ucFNNLEXgESDcLW7a8kzVBvZQeyg0hpCVKyroyxJJNpX4TTRYQFlAy8xmkPc/01YhiUPp0RGaM65olLPcTGvxJwS38LSR9/J2eUyREm4q8EzTCMVApAuIRlJKfUhQBnml6oiZCyrPEMqQBBVqG0l7teE5QJqdDuiarRFIsibZKkK5soUEkM5gJU+/mrRwGJw+u/0uZZZK1rrnAFG5dVi4HPLzcg2PnN1VRZVuVSuix+2DfQYg7HYMGkQdwZgwoMJifmyhmkqDFzdn0cDgJJkJ+APTpPBifnEtH1AIAScD1m1RuTYBXArkByEc+ktW7GAwrjUNYE4JmJciRrSTokJkAMbM9nrolVX93W+JW9IxCSF5FUIJWpBSiW+6/ZloS7U//yvnPzLFrbMvYWL32rG18nfRs5S4gf9mB0tAgnzCmgOztBkKG74DFBszlUnAdq1AIv+s+J5Ft2LkXoiXLj1OM2/Tg4jwYEDUOcfLUlVUxRxvTyVUKQePA5kpiMErcyQwcdIAIvPHhMcsKAGAOLPIPlyD93tLipBspsg0i2Io+kD1i6ryTCyDXZgZBV+66un1aNmVNgEW7k0HjQvk/azQXZdLOtcLhsYhZzoCRmPRaFitjOPEmcq+qTjSWrb9JYn1iIqI64EmEAqchnYqgwVRlXJIpwWQNzMnIunTLRANmuAx+WObK72BHLd7E3jyAf57VQKj8TJgEqxCu+HmauYSQzG+H2YTCKZGSVafGFlUeM4apOfKrhZmZmu6SUFm2Y8RO25jU4mJmZvSggDeAXeb+N16yZayhDBufUs7W1rEI2G2ZkWLZuEw0uzPWQCzsYGSrxXNZFnKf5M0CeHOVqWbsnhAduBJSNJKqMoCLqD7r7T+UlRTCPGASWAiUYtcTswaAyivTC3IBwWWfbObpGdZaEosW7CGIWkhtR8sv4I8ni2KaiI0+xwxbjQiT7WtVO/ckjkQO6Kjs+YG0rsLzitCmQe8HpPDzkJC1VSolt2egod2MXkryZqlhsgEU3/lGjNZjp5x+iDiEZtc5PSCNP1+LTnFqcMYl3nCm80TkJUeZ6Ir0+G5oWpLxBvJwBW1lUtXotqvGCxpi5sTmWLRgtbF/Yt/fD4jiuDb60qegJirnajW5ErtVaD9APaiIXdiEshlpjHkVhrhTNRRimbmWcETABB4UlCC1MkvOVSCeEc1PYEZ44yQEU8gZy7VOeHWhQhtjF5fpBHDxsP7Vx+eYgfpVaLBj+j1X3Wz1aUr/kCcnpiI7IqKanzumhzyCN9ZOgoa09MhV6KxFpvP/PFfjU4vyctKc6PHoKNoH8gPpFe+4vfyrAhoJa7gxOV6QlYyOyryacWMpWxw0uniZ5JxYRs2pEREQj4pf8vWIQHGHFwC9d4awtEGyePHxBJlWoPOZUSqPSqiRvIjsFQKu32pf+iKuGwZRONEBaD6BbDcDZjowb+o8OyE+jqhYyFil5ZtjM2eycXyZevrjCuW/cNnT4oHDfytLBP6AkMMdRZ4KpRcOFYWUOB6+ywrAsyJxmBc5mHJg2OTLcGYPDt1OAgTtepqbg1qpY4Y3/6yVo8DDwjgkI+KOSrEPaGWZ+tkISY8ACseF1WWs1R+QsXFPGb3wHo8ptWJkIbc3gbIBONUcJsiYOCodq6QtBU+7mxQiikIeyEXp8We6PuubbbmHsbpLYKFjJXyhBvn5Gz7Xt8lvqFvDDeeyAWaCwvXv2bBiR0t5axZbmBZGBHotPK3eMi8FG6+a7MJRvw8xoYWN0IBtpDBV6sWAxYC7VIWmSWxlMhSk0X6rwX3MSjrFuWjH6anHw0PX3l7K7A3sUBHEFsqkjgE4aMh9EGyqG4WxYTmhK8/6HyCzk3RoxytIcqR0FJx6n5ls2lGELbHFTHBx9SumSLUFAOB7gMLgyWuWBBG32vf9rJxBEpvC41VrF9FamvxfUm4Itk0YuoLwtB4iefBKizpNrufrOz1lEF2HgTlj+H4qQDdeC1mhfv+CNe4TdajQsxAau12sCZxME+BzP9hONINSVDpBaZiiB5nERC6kyZOwoECpkMr1gaSL7pje/NGGpKg4/gVGvMCbMnWjif9qGOI7MnWi3v2l09TxkOeu8TO6psHSvpq98GnUgyN/Y+Of6AJmNUtSvg8C9iowOk1vHxEPA6Gq+q6AVqJ5KI2qaJ25A9lS8g9DPgWT38p+7MN2qUuO/K45IQ0bB0jWSPEeEK2eR+W3ARGS80ukYEMrP/x+uT6zBiUApS8c6FYeOf+q8UmTbotRtSkODFBCwHz4ggsnn82sW8jOMoIpeUsnL7F6d6LGbi8HHq7XA6OTHFWCjmUA4XOve1HkS+dsUFpEmIFiM0hrxgtn4Y+hHqch2YgSd9+hnvPoJ67t1gCyP27sdAQJ/rJ3uPGpav/CtuzTSQvX1TN3Yupy1w3AA5+IMdlKaa33xSVVU3IV44v0H/DgYvhanCJf/w38ve4absYPuG64ZwGfF0wfEExr0SZfvwwBzc63wgBKDbTfj/RjMUTh0M63+AiNnrePTrOMnnX7Ov/4TCKYJMhQGu5uDYk4GnVU+flD5SGeDg3fQUai5xc3mNzSommJ6F1+tzEouRWWlMDNtBirAQSch3RV/lpy4Ec9BvJntFPo7veHE5//26J139JMFvX50Dtb8o4IzXlLEaTKjLWYEpwqOcUwLF1cHc6M6XJDZEUptMRC+o4r+xCZDh7N3o3UdDqI6DRjNc1HmhHsAdPo/sTrhJ+Um+qcN/PuDc607wPffol05jXs4et2vyfyH/tELHKY/w46sMyBjDFTz2dOVCjWD5eqz7vUuAlTV4eIAJwGwsJvgWT9sOQkEEhbrjF7truIc2Q9viiNPLU4tynwY9mvgxRcZLxfiOETCmfOVrELnVHH3MHx57vWbZJX/jgk0IRRFfXgnYTr4aiT8jNdk+A6gaJwBkHcpl/oe4iaEaxMuf8BpCvbB/aPI/PgvLg2ctCTX+zUO5A7SmB0/46F3aeISXPGVXCjm6pnWE+reYG5Tg04xUtG9RQIWdl0GZYlBrkqer1DibLqrZ9Vk4GcJg5cPiLmJwMC850t+7goQKfpnd3BMfRsqPSrzGJW5GdNB1mvI0HDM13GYtX+/+DgnU6D3eA/hs+ZdMxE0QjLXAEaVW7KsZ4jN/vQJv/krOH/PueY0yF5do4pOuw/gwl/84S6/KWPEQV3M7lz8SagTMHuUH5Q7ZdOwbwacXSf8DQEVKAzzdsOIoqNGjIV3LWMHHUxUnNmSHCH79JEtuEe+oxZlZLlkRG9fc8QyNsbSiCfe+ARr3eievsBD0bU06s4x38BTtHoBq0qC/UJvKpzqemRDOdwUgmqBEvmcBb7f0CiumYrleITPkUfnalTa/w6LKwGTOSbaw5eK/P0nPnP7BGCzoYoQDFMsc5U4/vrHYU1fwKp/0EMz+mSAKz0U80/6txsOvL4x7WPa3BhrwgTCImQs+y1UbpT/8IO3z6O3pvSyKXckaTBlOj7iyrNKiB4wm8YqzISbv6E7sSIlRGPQMOm4ksiIYpmyuCy07nSG6KTY1ATUYmh5vT47OnfFL2daPLUCVHkxrM5q7LQLwgY6QCXQZagQ1DFMUQN0ATW3BgiQHMLAkQJVcAu6E4EyqV+vhXZ6IHZiEdlE4D2CHpi5zh5DPh/z5AOHPx0vUL9k1iSRzOK0zrUmT4EolLFCzdo3e1n3+c/C23dmGQhCm0Ww3W+KWnodP3b4c67E42ON3yadSrKoDvDpAUJvzNiScLvilGTaTZOdV0IGFqAp0Cs4C5fGcK8s5EfnotuOlghuObUrR/szWulqCMg+7QQzq8X8BGL2ru+57L0963D+C8lE4NzwyD9u49WlnaMQTa5C4OGvZWvVcpVgEW0t5qgZc/4IbA1yzX9iPKeujY4KT461DpzbvkHitnaGjrqMtgijSLvwI2qEdQ7XA/WIL23N+m7Sw/RvlL4lswF6VaCzehyR5QV3ESJhFR0gXDZ86AW8O7VD1Sr39ABfsCdYb/gZA79B41jXYy1eXg/Q5F3Z4zvT6yv62B9nuyFJXA0gEpSr2whfFrFLSNroqwxCs5tuRFvili0ztSWGZQhm956jj2uVRQTuYR8i5NM+gxuFZX49vI+MqpgYC6xZeOiczF2PhQ1h33R3vEKeQYJIEc3uOV/Hfnh7u1rHNZ0Bw6kd0PUI+yZAxm0MNbgLceBgtaSw2xV0QEOmp3QgasRNGJudMyb0R7+EsPmVyez+sKHJIhjeSbKablw11qSteLFwEZyth9FuDwWJUQ6a02to+PyZq8CqFdKGoi+cZfFqt+ccGa0nONPv+aOePjjuXoK9IuHHaMlr3bofDYaOAre+o/2Qk8WST28irV6g4lJlmHWHdKeszyNU15rFrkRMUhHB1LXsus7jBnaGYMbuWGh84V14vsF8kO6yQx8rvxh33SGoawdTH2SyllK/aI+KHV5q90BAlPanOlfKbEqbxBulTnRUetqSG7iHrTXb78qhmYWrg6rPjWZ9MNuMOCLYtgSFv23k7NTxPFD3fRmDsjHB+l2cYZizFztebelqs+9my8T92ih09qQhtx2GjfaltZMTC59pAsHyF4qAH3vhu6aeE/24nMSy5UvrLT5CRqeIzrF5tA9/GDvN1GxUnWUgmrmGs+zvlAjv2eAB4VYk9gkHwO+bWngXUV39Ew+z/oNPIWhT23Pxc92Z+gli41iVMfsBqYTgDp4vQUmOeTZyNDjHaH9UVhvyzDpthWsxGlxvUdNJhNhV0X4vzpv7DMEpK7gij+MkjC77P6SQ/tr+nJPowTh+cRVvoRbpL7ribU261WwpakhKQjIzursSywAywFB1cv3kXMmsMYqVDH8N4zkzhlP1D6Mnw5EWK/G+Pz1GLPISjSUgWzWyT6+gpRNzaLyILv36bsaJ1hIQmDp+JZn4HEGAF3c3fBomfQKA0yY0rrWtv0D/nCd7etJX4NuWytoS9X0+kF8EOb9S7/EbOPXaan9PinObHeXCiPpp3QVY93s3Hh59BJ0Tb4xX5Oj2BdCoG/fKc6LcAIGdpVdL6fslB/jHpzGf++x1F9YjJsk/d9CZD9gfoujk9FUTk+kYDXU8s35T5fykk31p+/y0vkCwuS4QKFkMv1ESs/UL+uv+Ulza5alYHO2uIVmCFdVjc7Z4M5rzggwPCVLu0vrCAy/hgzo0EvlBJxqENcjIafkNUrThqfsV31g9/n/frX9MOCtiQnJpOKi1T5YN0o4LGxq6pykFrS5+G3cWfTXmI3gM+2D/k12OV++CLAvf7E2XRea2SNPFDHQHHTyegJctTEaeamvmXAah4GMmHs4RSEm/sjk8r3PS8I+6hkX1mtSZbr6b67yOLWFKpht3dnGtxjxoqAdnfU7QfpmIk5Jm+ogFE8c8wLdCJvn9DMW1SHQ3ig45pRVkXwXpa1QPSCj67RUWlnrpq/dDsvQDhNF1RF2DlZp1v+0EdKFFIcP7CxltkEegc6GWCjAAZIt8f0OFfVqQFPrb5gWRnz74K0/ED8XcLHuMpKhRt2fK9/UJIwpn2oJyIaxFc+Xjw/Brl528CA54CwKqxk6G5A8i+gt/h6vIl7wI1Z804c9CNsYHk1sy3qmW1Fz0MMIX17gTIkQpFx9bSubh6WrxNkp7RHdzB5p+OxiRHeZ45sHc7cCl2+C7a4+H7zOt2JC6H17PvTz6wp3nhFLvh3R1pf2SvX3tPPHjh+dJHxcSbt/jMXr8AhqPS9hIi6/uW9GoeO7dUbiB25/e2YJ64EFI/rULRO6C5ItvFOQ9fVPdR5VaTB9t4hD9P2b16/FINlheIjNaKvcj99/22RAfU28a4oRaVaPMvhC3GTmx5O/mYfaeZGXpukD1abo/HTrfVQmQ+nIjAylFLUF+bHuXuuRF7zzRDfq4fB/Mtj7hvqxF31oyZTj4Ra/r3Yv9YeMOhYCErZP5+SCxoawHJcIhBQ4ofx3laG4/efet7B/2RXGYw70K37ZLBzrwysQ0WOPufiyDZlBEFsIGChRr/f3iOmwMzMxkUBWcrA2JeFIXK1acZdtaf6xQK2zj+W2Ip+BY0oj8xLsTWOmu6EyusaZFqqFFgQMToev+XeyL2F16Lf2emrZygKDeVQ4NJvVabPS6ClBMQGwF+suBaWMUrod9XMcfnFtgl9RD7H5z4hjEkmvk2iFrQw8+QdhvbIDipeGlJzz99+tNoc2MyegcjiWp/yIEZSE1YXYOml+//d90fwALt3frQHFOvokhzwM8eb9nXMTo14E1XFRgGlfuIVyclJwiz/UNVecN3jpC0lueny7RwtIwPYRd6I+t2IcKJrmt6tFyMx6RcK9uK56GUQ2bSx7Gr+iRBIu1HpyHuOw18/2sHAWep4aZO1+NggbhM+ZUTueQj1Q8lHMT9nn+3DuGADafxG4awCacHOI7MxY+XvH7eJwNmmZMoasO6q05Kf7exWKYSpd5paYXUXo3lwvj4KhbJ1wsgri5XBy/4KrQj/LyABum519iy1PZ3g/vzr+4WEHaGdujEnFYydKWWyn01juVXcxItJXq7P/eqpL/0XxfCuNgHITtoeXfwemr1xhwWWz3NAD58/HczWrDFRmwenlOPa3Wm/Jqvp8Mb7bgQ/CySem9SXwX/FldoRN+GV3ZFQFy4sPYMeJl6KdjZzY+x90zANF2mpzHm4g/E/0x9FFxVilHLskixykR1LZCpFiohjm20QUR4pyrbB/JLv9af98yufL3yXaNDFmEXBpkWC0SxW0fKbAbbrAhhpURa5Vzc1kqeY7rSl2om+vVaEjA6upd431IsnneLHePgCX5nBjVKAZflDJOuRwtdG9QOlDonkxU8Q51l+53V+CkzqJVH8h5KJ5H2Rk8f38gdxidhsAu8B5bZc86lEc/2V96jDIXGwcQQc5WX7bLxL8OsMoOu8vuUy99OG99FZ7gHfeBsx1bQyVpMrllVOUhR+O9ubcovZv191N6/G0zgJ56Esi0fmVeN3ou2T6t77BDB+JeYlYwuq2TK2iZOP8Pt1e7stTZwXKQSfqBH/MHPmeIgV/kMHiwNCPM2GawDLI3Z84skZGd0104j000577zOEEmONMzZ/AmPMKXirW0k1Bk2T7vokdnB4+kNxhBTnBLv3EGcyTkGDy91xe512Br7X2B7Q3Ekx3YB2b5yjhNF6/Q4rbLjU8s+S22SaiXQcwABf+hyi4oTgkhQYR/kGH2DRqbtW8hKLJEoBmRD8ElN/t2CWIrmBpobBBgmAMoZ6J7GBNDcQxgyRGwhCfcXvr2/Du8dZN2qne8xTGBrcyHnwysi+sm8vZqQhDhceRHSbPrwNGjCCObgP3RJWaYVZbIP691AkpQ7BVhC6gfGA0ajKY/PBa/+WGGLnMZp3Sz4q3YxDIF5xGSf5zEM6U5fJeYphxwOn1O+ZJZi30Oe9MWYh5+ckeKmH9py2HgEZXaaHgCOZEvdOQTOaQ5DLl8PsFj+GBxsjdtglqUhURVSbHv4wpIpteq0Bs8dj0fv4JDLyanob7AtJpLiTRwvnc47Hva4bV3OT223I8bLECqCcKdQB/OK9pnmZ6NmFgtGHpKpZaS1R6W/CCE+hX5y0JivtLPV3Knhq5RKlo73tNSenffrTU+7WCjO7N1EPp4ZwjvdfHf/9XgaGp4xeeTabJ4d30+mcxhazOxFScul62DYwQcJ4Zz7cP9cqaOZEt/7uijWHxc8JycBGxSxLOoq7TPOe0Xcvx8Bg2NjbchDARFCTPivGnpF2Z4SHYK07T0G1MMsq6Mi9zcvPKn36Xl7j8wxYq82ZLOOBo5n1A7+UZyRKnKjlmcSsw0xKaFVT9yIhLQ5ziZAdhbJlqWGw6OSFj9cynm2jpcfp+/snZwrHQusttizuoud2YQkrPG8NImnQUg3mSTXqvyg/ne5hqlZuflzQqh8EbIwwV5vLe/w9zETC+nq2wZ2qyY4NFzpNLGfChTRWDWdrI5cBlWhxujnbuUPGNQPS3dkS0Lv3QLRdTcMjTJf1fXEt6IthSOM2kJBnvQ0h5s4g8AxVlGZSK/wSGjL6oq+ZcyZ+nd/Ygd4TkrRLm9TDmzRflmNh/Z2tInU8qMDSw6MdXCBt+MBiPY82rPLxnDpL1YX0gcfAVm6eKNd2aQnozxwrTl2YFGJD2BdFx1aCQ5G+15SMWchQBbCHJYHVP1rCb4SFRs9MgHFLQEsB9FUJFjyHC7IUpWRWqcMEPiEOoc2F9XiJpoCKWuv//D0ctRz02EG/RFs90YRWdn1C00fJ4nO6dOzdoPOlC/dLH0tXxHRJNy9xlbffkrGpdQDJB65BuIIzeLfGV78/FQo1i1FP5rd7PTbWr3XuQ3lQ/MNkgB0hQk/diYe0jluv6dKvzdOSuNuOdYllErgelubjPHgFWDPXHylPkBhwZ42XDH9dUpaBnvIOkZJlW+2nhqO5Zx+6j9o9fo+7ZLa/Xnr/5TVbb081PaOgq6+FzTWK3Mts8Dq2W1gFDCjvoPGdyeLjayoUtYLHRBLvSkBDCrOppFid9CJPKQYYTLwhQ4YmeCw5AJO3hGF1rdGOxtKmw57ZZhTB0kjqBRAmxbL04cgWTH3uUTTLCFIC/IB82PfQl9rcyrRk+UnzhNWzDe5dZpQeSK1hf14XIhOk826QmHxPAAEjhSevSosEiWum6cFs8mCdeTjINi4iCBWJg0x8XOGDI8PNCa9YzVfPnsHpNGSbuUKKenssPF6pAUh6vVwbM092fyGJJNCC4uuyshocDMsLy/4TRmBjD9yqfVmG9ygNDgpwjaRH8LaCtWS+XSurR4xQlDzoAgWk3/Hlil/GeF9VGWN7tdO95Hqk44yG+L4MjUZoJmQO60lS1DYna6RxrzzVLbWsC+bBmwfBesWpdE4W6cUpj4SRmfWb78YZ5Hr2I45qFw4k9VB8K2Ur1oqL24CGM5PEYMKnACuL5oyH57cXDVH4pc9aAstkXNvK2WVrq/rpO6IcVrWPAIY05v30w+CUaUWf1PaLJKgjUhswpibyDGvQJOHjitOv7XjhSs5agA/QnTLBVDY/ONh0fQXRARg/Jyu60Wy/d6s9qJ7aAkaYo1IBugVe5tuxDVnGp4xHXhNN2GS58VCafYpcuzVEJIxXdX/6sKnnHPZ/Rx6cXskiSMH1HAI8MC/k3j5QM7IDafkeFYmS/FSdn760hZ0kD/GjnMCPfUvQzniPN8cPygcFrZ/755YDuujWiRU3pFdRP1XCdh8UYODW8vHXwde8hMPML7XgM4gUW7va3qGfhD3lx69XW8HEz+6U5M033+5NGLia7Et3esyZ/8ZHnmHrH2AC+9L1enHFoXgvjZbgtxNAJFVeGCgsNeZM7RY0joe4gAVhQMWbegYXpMXl0OLwYQDORTSSdpm06ICHNBEjWsfV3WFMAqc4qbZzNpnyxxItImtGRLIqlnkjo15ezl9BqB81A8/x/U/WMXUUbAVBdo2PrrZWsuKIsTi17ZlKoiKMplb4kcj97FRtldAhLFmggfLCkmqiOgWRCjhJ5PdzHpuYDP4C6IE84TFdCZitApMJRWLvXknNEEmrOenyPqg7LBvs3TUq5UG3xEQia0lVatAAFkBbuGUBFhVFF9vvRJOdAWyFGS0STIRUO5CtJp6cjURv0ChFxq4vXSi1G/rfmu2XRSh6kYrhJbsQ+8Z3jKnS4mSc3SIqV9bkQ+qh9sTdgsILdhQphUy9IJapVRcXSbW9+0jXPSBzPsZ0fIjFuI8/Uymdl8dMTciKHW9skxexJ0z/dypAU2Uc3uqzDe54pEJhsxYU9TNEsR8WQ/RdMf30C/gAP8C42YhF/hw5qLACy7BDmDhb/K/GznYeKOTsc2YpfE7by7juiSvFJri+aRlUCr+26oKgQGOdMIhqMQg8K2SkF/KIlT4VUeRTTGP4i/YEflah+Y2WUCQsKwexDxgapP46Et9gPkaJWnfVFh4Spon9KYXuW8umugLmf7ITN8by6VPGFoSU2yEhhYvVyMg4CXwNW8iYsQouqgqeo3nljrXYfZZMRTqOX7Sixuyd6K84JKiRS3iAFj624AuTS2vcsujjOAEiJQ/UQiqER5KUR0QeUr9ou+2Ote+NZXEFdR1Ho9RdN259rc9wJI7F3OMu8LuMY3UeBjd7m79LzJS5ujKRc+ahG72gkcsQPHOENEyClrxFdM+BXGIpGIoBQRUV06MjTw9Fxk329x06WuD+Y8tbCb+L3asLkalR2IjOXsi2Ll8DmBE0Bm0ZwBNpLI2UFx99c+bEgnrtlJMIEJqc0u6pRq3vxAHzwK3PI8Otx72oSO6tcRL9HQR0UrRoc5T5G9QNorrsB44Qv2/GqgAukGs3hI1uwnQZxIgwAugva9CaZ+h6YUzn1MXGqwlVAutCQEJnkBqY+jeXtqxzKPFRYmhv6CkodfYeoVY6dkMQ6mghKcRgufFXTR1GdIs89hO4hoLk4Q4kwl2w8M7ZA4CbjMGpOou5U2K9N6rZbLDdHhL+62tA/+j+rBzL6pGtMT0Q0vmFnzXDsBPhIuYN374vKoCESXQJchll+h6c7s51YZM8nLU5w5OXsTU6nO6a747GwoCSXAMK6G3lWcEd7js89Hw6ziHN7AhrgmlkJ7mlIQd2OC25gZ3Z83aobZ0dfHSV2P+ZnOTm/D+GCGOwzqcNrBHYC4sLZo2A5F2glG1lGVHVCJZOOlnLPOxU7XfVneqXSwFNqlakcyUcQHLNksNTraKvj80m7ceG/QxR0c0f6juYTI+blVP9rjQe3gqC0Kj7Yk5Lrbgj+qkZyklcnVh9NxZ8mJGi1nlagoWTAkCRUGY2sL5ya7C5Z/u9i59WusaBc2ucbo9c9WbjBFHlpVCqs4gDbrMIp3epY69yx+VMuKsvd12+1Kj2WnHm9oSKET7wcOrd3lzSWKOX0F8eu5tMDAKUOxB/cWV/ghQDhIc+xUeu+5Uj1wc5mtq1kpHOMEwN1aw3VeOJ0Jg0nJZJEfb6qhpksy5n0SdZNrflxJL9VZrkCwrnBX2OY8NDb6briKUULkXY40SX9VjZZXNFVZQan5fIOZJ1EUHYH4uwXMaxYQIB9NVH7mUTe2JkghOcc6iGc5NwV20IRoC6OZarpbigyrwzNH0yVjPYy2rCGV0Tbovd2vH40zFpci1RTtpHpw6M15YHV6h1nG5i60qMSVM+q81LK46liSxrV7xRvO69yWpJu4NybYkRguYiJA0zlvp22n+oK0ThVzcLRu7GF5I5XEvh2rAmux2XxAAlUAaNaPmsaT36vMMkYZK4AHVTWFZm7BY4x0+DcSbGTaFenmTlXHPerU1IhFzMYrIhnOyo6TlpLhxbB6d2f3cfbzgiPUvdRyESpilMFJhOzlJe275J0V+15mbZhB9ImrNposhhpkX9FaSz6Ln+RJDvHNtIm6BdRESxBvfjjTxwrVg1qECQWbQ5MGuw2UQwAC817DQHOAAM2whKZn+9mZrj3j3JwsQT2eh3YXeIsuJZRGhgss3YmtbWZYthLC7wMC5nKCV4lWOlZPmfw5FHg95mdJBrH1DyBSp2rUwI0l1dpCFsqGn5pPzbn8DHpgt5m8qehMR0hXqKadI4QrBPRmLsteQhsjMvz72Bd9Lqq2C4MUeAoTn5a8zamhZBQYZsTTsR/uocyOQkEE3tPCPUABOq9SqBjBjxkusYx573l9E446pU9Z4ZGCdRX1RW5QG1SONlfQURnkOJ79o4n1SMKqxT4hO+9LfO9Mc1BVxNZd0FxDdxSfq5k2e2OGmU71lgSPWTwdmqOPuN0rmC+KSRjXCyoB4ALR6hhyFmjFEAk6EBpzTWEi/SsbXnh1qr3Wp2fh2byorFqJjRtnAqsTQeMxvEX73i5A7cDR6szYiI+i+r0epwPtfOJTcEmh88phk1gB/CVA7hUfpYmUxgeT1kj5vf9y80cLtjp7Ug6BfKQkPDEr/6hCuuqszqB9/aWZoIEJveMrw83wn8lAMPQTwFSvyoN292oV9NGKotsPwYlBHSjieM3yCq6F5CY49ft4vFAIC0Xz63iRdyoXZlGaxNulzAAcWNHOCUxT0+NlSfw6QsjEdykH2A9P/IyDZzrFD5rdIu01Q7LOBJm8KH2qbO3cYWoltIyR4YwIHVzFpvNel5AOKDFiKEXv8X15DjGBNuAKHPyooWTbVYC0KUN5tVmTu4axKwGrH/vKTxYTSs95Vuu0CxDtfDKeotET+q8gq3I3OjZ5W0NU5noHTPl66EjTuvsJ7uwR7oD9BnFlSDXVdd3iwUorm91oq+t9Xs+n8b5dEfl6vTAlmio9Kf9lxzW5hxaM1XMuoUxYiPvgavX2nNS2WlONET7GNW7pj0lMyztmeDNvAEo/SmkgSGQ7jCJyD2VF2FFsj8DHROr4gQePcqmXTcbBSW7zRVKZhpfmUt3UNYQUxPnKghVi+C0tF8lEF20wnOu1LsVcroWk2CKyGlRg2XFw9Wo6EhmoJ9LcC1yfvP05icsn1JqKjh2yvDfS2JqhJ2DingBqhOk7l1yxZN6Mz9Mc+q/QdUpsMr/VmCaIpAG+TQZc/puPdctaum64/libXDSXFez3dMjCCUqZJEVhTa37NuekOw2cI97gq2k2e6KaAaoYFV72hFmXYZCPf4gOmP9+Ujo6n68XVrPjfN9o1q6Z//fyfWUteCy5ZJM5Yc3j/kJRZTd1ahzbathSokHeXZeB3kvaQ+m9vKfUrJrMmVPX7z4Ix7wh2m3ICMnn5fSWBkzIYD3aUVPZu04L7OpbqlLZ+NnEufpFbZaL+Vj0qKhFXs4HJNlu2+tOyWUgzFqvKD+DZV+pytyGg7PbZZfkTRBDxeqCqqWcdh9jaIPHToEuJn1frv2XJaWNE7TCB5gRc+0PYGElhQhdsy+XjqkNBSIp+SmJ3YSVZ3Kz6lXhN1OJvbYw/D1SWrNgfEL9p1vuGPx8LjFZ8zM0s+ZbcjiGDlTOyIYZLFmXhuwo2MvTY1V+eVxI2SBEqDpA2THn2oycbPeAhVGnveHpdsH2m5LWogTHy40HZBHmcEAFh4FQjDz6EJZlHgLlYmh53CNsntWr9MZcp1tpoiibW8WvsN57GoHqPD+XnDFWjLgY6rbs5nuRbQ6CvqQiqsauPTDojYH79uJXMKWgvwYvaXDnJeFV1FQH/Zl6rEd825tDjh4XoA4+aPKbdWf91gN33FKgB3KbcfO3yp1AWnWncQzoMBdGepJGXIBKwArngs+kF1wbfEfpby3TFU2RCrX0mLz0jZXCc/GkPq6eTHdp+Fvur0iUXG7Tn1XGO1QjdeybR3J8ITnanG0pcoktJsXykxY6lKge9s/H7Ns78hj/e6JzqmrZfAe2ZGUAqpKToaVkOR8qZXfMUC8RSOLhCCW/f4by3dwy62JDogxZHVstJza7+Oiriwcj9XGMQn760MiQCqOdLA0DqOfn89YWycaxRa7ta8liG7dmLwHqzI9TqrBWj9MNNb9I+/fHUkpQRWWER79QIoH9dCz9P2nybIEUTgT5DOhALPEshwpoYStF0pGVwgayuaPAAt6mfnvZvu9XUphMAlKGyVo9grP0VhAo/eDtzvldZhWkEQmtVofEruDJJh2oy89bKt6e4Q8s6vyAAJi4CGk/8OnN9OoGZlyIespvKxaEjW4LZmVzFqjTGhPl3modc+yMYzanc/VpghyeAFUNOVs3HP45PjU1okl1PpPc5/keduh7VoIP1gkBWh/yBHgY5mrA3uIO7PKkxdfDmG/G+RilbbUKhuuhW8MJP9vOJvrsOptYvbMsvgDrHrUMFHzo1+0/PiHYbBKuS7w+a83F2IvqbZ+p9XbROtQeaTKEOOl9svD/7f6Ue5KTCP6gElD1hejTM8COnH1LPABLdHB6X9jJNpD8xyWXchIMK3xwRsbmcL8hZX0Jw5AmddM7FqZ/QBgVrkl1jLsgMVRgWYVHKhKS1wgNFDOy0h5Xx2c6PZus37C6Lxg7jyhc/IYMO6Dx0TgEjim795FgM0EyncY/nH2X11TAsYo67U6WkJFqRGrrKLuJMHlOMKgrUuilLpMynJaf8X0VNgFejWq+c8vt7tx0j1+D7FQmRenZNFB/h3//6uB6TZhD3b0mhdyQcntNEvlyumFWjpOiVtYkj5xjO/p7VwY2/zSb5lGNMCX0GWPWnA2lL+PICm4qh5J8D+y0BJg2TBKEyVYz0pui1iz4gpTAfgiRVMHAU1Wu8+j4RJsoJUtMX+YfWza5WWNZC4FQAglXW2v5ORbnEGn2vuKUQmvKEYicJDEm7y8ox1F5QG3sj1eXoza+0ONfctxOF7i0VL3HbOPscRmfPn/z6tDkgi/bXpqD/c2LT67TOJrnqmTMyz7hMxlyHRVGxJrP07DYRLIpwE3T8dyWN2sSUurUZ37/TAYbgL490PXRBTouQFZ4XvJbVe9y9pZyb6m8pCmTtfipVExb+XjSCf5oZcMo7TgHsTXpdnxVob3ZOIe9PiEbuBG7NeCdCjyP5Z7o9yRHK0HryJDsuAsAb+XZZyckOV4BqZIWK9ITgjWRKmQRCJgp/fxfRJmLet36xCfiIbdECmZvW+2LEM+BEJx+a8sqwq6CwJ0nn8dF3/Di5QhOuNdSlxRcXyP83wvG9yfI+ZLxsSQuFNmENeX+nUsM9q8YlxnFTK8EXoNVDuCEuZ69uRhVhQE2mzoeETxP2690RXx4VyjgGGgpjKhqKdgKkFPX4lsOMg9w2SItSvvyZHQiT5eyvHfYAbhSNjbijT0fowMSW3PdrNqsVmsJbP5UWE4yaz3HcVO11mehmnh/vFPZn6r9Vu63xV7Z/A2CSDwmrAlsIVboB0lTB554Hckx1wGSInXX2tfDCxCBao5/tTUXITwpc/EWt0YaH6wmtL0Ycb6pwoyu2kh/oyrTwGQ+1AOCPVlaKGuyhIFoVqO8DbEmeSasafV+N/MwvBPgZsHCq7syyoi1IUWLiK44CA4MPP3nEhIwywwa4fWuFyUN2cLf1vUSZ6+4XhTsjtc07wNWU8u0fRR3776p+KZiRX/SpoHsljjmAK1nQVrQRnsXOxAobguLpcahCwt6dinSdFeXRrAIk6gtKki1D4F2CbuGev5ta1TNdm1cVLip7BuWgfjMvrR65sRunQk7uAUcApGsR2fg9Agyy+bb3363oAVV2pDuhPwrc/Hh9aIXiiU3xVV4gJe5XAJocmAm+GaN29dL+wXZHczqoMfXIV8uG1dwOgLusgLfLC3sPpkreGJOUPj9hVpnVaFS9tFHwqg5tPfnnqS+DtW6rW/sCO2oZeOkF52/t5vsXqQsaCPwU9I0VPphGayAS2KY7YqQhnk7TFkqYfC8aCvE3jPtOoXZe4LTuwBsConwDVtOf0nY1CQTLt0Glgf5dzba18PPbfLwmoTBFzy4hVHvwvIQDZ0wT8yWI11hsCA2RVVG09Kox7zEeYvPuap+WYUf8nFSVzVHzcEGVR6/aStIXVw58EqFSKuuRQJ5sGh1vlHCaSiwmoLGIDLUQ3tmsvGlBu0105NPYmOMuK+XNGs39ju2BH4OI2sDnS4S2YPJBkjrbTJuaoSpAuLCHuDKRzbdthlkJojmTues3Z4pIgfWT9JuGigD8oakOdVgSk8cKRHM4lIGTcNFUD/N9y8/ddaOWIvTRrzgYZfaCiSf6JMNult6YABhMLO+c2V9uajj3Oizfb+n2h/DtUS7W5de4tVtIEfbix/ACLUQ6aIRp6EnqAJpLPqvKweQyDN2XoUBSvFlsxzezXAsbtpnDYqTkWWGczXnvO3G0nTzxtlgbKI5q5voYestDpjz+ux7rYegNJ/9WlWFLrsfmxrRWgk2r/xzRqHeMmuKTcll9jyaqsubeiDsi+ss+rK+LPHTDk1P3OEGogAEkUsLwz+hWPusD4+6FqSPMPFcmhzMUA50eTGvQf58z1W5iVS30ENnvvapPdzyYGTq9bCUZaRUTu2YHb6EuZRDlaXo/zfWspJgfVqLlsy4tZW0aD/XVvKYlo4t1tIUqtGJSgd1RUK5C4npunSCGs/ZAAKiB/kOI/lyiw4gnB3PjJ/PTAXA3ycVwsgJQRyTjzUBchiXDIAwk+R+BzvMaW+OCwULU7Q3kHHtXij2qDZ+e/BYTY0T9DLqduqVfU6oK0TusmOtF3JK/tbe19SVYohHPPZSVTVmTaC/s6cFf8kcCScS0kcHEYhbSTzxh8+DRi1wN1YeG2lE++X0bQLNZVZrM0ZbonYyO+xFgv/9lnOh9hTtfohgPsXsxcwE/cI2MHuR0neudnwr+UOPxDMSXQpVJb6eEdFF6q+4yCB1gY1GIRKZc/x17ZxXPSzZjb8wnZjVonF5Zi7AVDo39k29AeJND363Pwqi7IqXdrU9ad0A4Sx8L5Hvry80d+ihLEVWinMi3dC/5p9/Bx5eJ9nGG+eNosYKlrFm6jkcamE+27gxCpA7F2XgtaYoqRnWH7v9h1G/j2ios7XO9YpumkWvaX18cNyUXrJs2hgIfhWs42rN1zXMAx2UDsuV2hMdlW8TpAMCJjZhEo0qBoVZE/oByALvVXMiFDZDbi+48W1Rg80i1ChYP95Dc1ZYHdApQ9YYnQ6SNae4KZZ/Zh9g6TKLlM5fyYH8RP1z4ycpmGNTwzq+BapX54WwN23GIBJZV1LzRHDorGGYmToxNcnN76NdvwxY+dxfw8A5r3TXYXcS/s6Obo4hFhPyttD2kKimb+VYPma1fSZH8/bVgynpJNFtwlXHvFFJzt4N7QyZSa23c5+pQsJ/+5DNHqfr3RPru+dgqRaljEFJaccwbaIe4jQ9PBiwsDeqZM1XgjIGjEkchs4tic1tPN7Oa/bsk9No6xUuYXdKBWQeVMrVzrdA+6RpM4tzbx2DnSpigr84iUukvk8Vph62uc3oog7gzLA7BVA/RP9HsNaLruNPy17dwyQ3xo3+pjNKVVmeQ6tmFerlW20to+JdMRgicDxlHMpRVw0z0kx2KdyM/JbipcpxDYYEDFgdlqB1mK/HWQngiBDgdMW6LF5K4Q9dCIQF3Kw5L5JL2dvCotnZahaG7qIEBHW1RVagY3WEZbn2POBaAP3NwbGCV4eosYYgKOcBbMXSbMvqU7rRLtUhBlq6Ah2jYVEVClmWzxBqcFy7p0o5tOL9EVk1YIm1bEWEg14o9B7fIYqRUPyI3sO96wvjWKjM2wpkG45JCvb4xmrfzmNJ8tRtJ2ulXE6vVG7A0bbSLCtVnOcI1Gg6ARnmcjvZTEItqlj23owiqPZyjOO8+p2NWcsyohknDGUl+YNo8+D2jSWjbCJUkRGF8+jUgtEiZ2RBnPXM/hAPNqIJC2js9pMYpRMANiqWlhchQJa5bDsHYkZNiR+JHxP5dHGfWps88cSPDGHpSHjVLFydLH9v+Eb6vfbBQdb6KK64uWx9CT8NFSCtX7JWCRKMYK2Nn7JPh4Y0Q1bIl/rsQ4kMvOXqF/xsPXogycxwvGgxsgphJ1ZQ1eEog+PZgqnUKZx1HPUlZkpUYgT9lFUWL1AGl1kDaJ55vipm6O79y3ffk0JeCX1AaUUtoCPG6MdiK6Q0ZCaINZ0exWJ0Liqz811BFmC1tSLtHV8xZLDJGpZp5TTMsk0eteGbOEvnjJuhFsHp1TPTtJ+NQc2OiKld6Q4y/KwJW4uktVJWreVpV1CT1sVQ37grPbtvQbNGQdjgtlk6wCHMlkrha7BmGQo4MLmv6oMeOKnHhpLQ4ZyGuqKkju4BeV3b+8+uKwbCGI8Z8q3vGKlEDWtRCjFM9hmoNU+iJ9ivH3SxcfVds5x8JQwQj/wNsD9r0LmRQG3WdCJlAoIBOibooHQ08yDp6kB4kgFNO/ixpYEVXMS4zMWOlZ4n3IIs50zIJYZkC4yxAPjy84LjI0FOU6Hi5pRDp831W2KL5vLhlWjKsfEx8uUl24qvxaUwV9Wm1TpwdfsicvB8zBVssx+mbM42GADoy0IBFf7PpKI8CUt+PdnqkU182rcm47lgZ1elxdiFJo98MC7BURQKA3+kaNRag4jqGSI8lx6Um/eDSpI9A58g9DY6D5Jk2vxOWJiqycPwiGwuixjAbZByZFOrT1dwtbnXuDyUkDMZ8us7LJnWr2+//vFcL/pdNXd+Ixvp3kAYdKpB6l1AapJ9hEex7E26x3xKEfqNq67D/PaLz3by6XUY7xCTbFeVIZhNnZVzo+g6vDe0eZrxezWg5MoiYldNf7U1cE5O0cmvo/1nKgu81aAoFFQRvmabgbwcZ8fgvo6ZyhkL997r/pLEzZdIJUTivwgwQBTpI+U3c7PK3xpJHtecfqFfMC405XiVtRHDFzt1NW+LdSMbdwJZDXtjLPWw1fLpCCvEXXRk0ZEMHcg6tylHb+NjFMVolq8vCtfg+LlSGRToTKQk6HZzyHLBroeNA15guOTk+KlZeAkwGvPB+H7c9Do+JY/X/9k2idWQvapyQoPUfHb0wtIvcUY0BCzQngsWgptB4E7pzo/LpFtI9k1ZZ/Cub9j63j7gOO9hj/onltnxBaUar/cDmS9rHbhlLToJv6zm6KwEj3KaU+PxCUfl558uXlPn1Z99Um424DZ8JCqNkwxmvLZeCzkcK9+ex4i4p6DwnJQhRuG/zLoQO9Ra6xenRizyNL+klOfv0JwBkJxD5qL9mZNp1zU0LwlMJVDOKmvSVxgt6RiiV87o2OmUaYLRm7166nkr6o4WNhH4RCLEGnd0AhAtdlTA3JC9vvZxvhh3Ry0iF3NRfIn8ejPTlgneGsbtzQ6NJiSuinOSqYHxIrbCRPKYq+xov+ZlfVhRzo2jNUnPbaOk2hZeoPN/IAoTcJ7CE6R6eH5ba+3XrSp3azkLamukpaY0E7GHyOMgK5KDeNX08rGIcJJLQmVm7k0yLG+QQS3pbGd8fnlvuXA1J7rrHA0OpHtj491mxIv24PNsudixQaYQu+DE5VRwA7Bz0fZgfjrPM1KsyDJ6oIp9uxurMMdZMFf42KaBpJJz+ojM2ufJim/tjN+ekz6IJg4yYeYWHuxU/OfOmcjdxS32lj0/gn27Hd23m3kBwZdroN/p6e+402DVeyPZp6uIgg0k2G1YoWV8Kd2Y/SkRnHNXzI8/f7TqXEsHo2eGQNFXvC89mb1miTbVunpTNzGYXJNXfNnaHB8Hc2F9mUI4l1rr6RTC2VyUvkwhnEtt6ektJpyJKFsj9j5PqM7cJc7qibNLnKOYZDy2LEbsE8jC/3puZOqgrx6sclEAlemWB1wecKohjc+FyXKni4iAdBqv6VP7XAfoF+35DIB1RQlC23dWOkx259fq6yVe07GqDXbqmIK0rQ18nB1pNaTxtWCw3CVEwuQezz2dQjjX/3IThPNk2Olkd/XIKqQx96FWfNiBTIqT4gxnPqL55XhjC99dLPWBI38lowo3qYfklTpOnDf6mZeIj1y26oHKLE6UhzaalebhzCrtF6rI0ZmVvst4MIvGRil6gh+NHgvbEhO707bIWsfwcT1YiRlWKKzQPqCFtnaeOVO7dwY6cw9ao0kiBQ1QzDL78KkFtXoL2LK21V3qL79DSz9LiWqcxGxV2YddrpohXwlSS4gQtxgZxiDTl/la4DQkXpOVIgCqEHAh7pYJ+TMt89e+uLDTl7k2c8Ga8OsauhZ02UWKm2Q2VYi3qUF6O58rzxoGoyTsieZ9prHqyZhB7MrsHE/2ThXoxD4qh7nYucYzHU3S78NIsOPKLO60e3L74k5gEAGoHvfHdNo9UvpSM3ZtI3ABzS9VUVYXLqrTstJ4HUmkyKd0Yuv5+BT0Lp576AU8Q7zBdpXU+nYz02FlffcLcxJPgnEvOkt42YqQ1J7qjLk+xoZsHnFWtd1NiVIT6f+oIqBzcBvya9r6EsPKsNQtJza2H47mEqjubSNDUfIZGeuUXRq7ROWdJkpN0HFEg+qC04CSeMU/WANjX8hNP6wY9r827tv6RJOTtTRih3vvXN1pwqGzF4B0WWwQbVHYWGo1MI4LY3yiaCbd5C+i+oocxQ5v7WTeoRKGmrc2fkLc6p5QGcUD+Oi4DyCz+AnbLpUTN3Ms3ZZYgWg0X78TUX2EQU9ZyK52qi4ehEKuW0eYxk/9PB7DKHgZO8pIHQyrrHWcAEbdQHjAA99R2PE2+OZ/IIMtrdjR+Zzpr9BTzU8mienzmZd1Gq9+4uHPfLYsk9tcRregBdZXony570l3l4DaoWLHnbIQtFZeypa7MjGUETeF949Eo5Gfz+xbF3O43YmJlgSwM5CIsNUCwl96AjOb5uvvc9opR7eQM153rvHvr00xHDCMhzW5XHexAe1n1mCTkkbZpj7gsjs79Jbhrw0ozTVVymEoNVgP/iYdYZq5pSmvcl9aiRoVt+qpz29SMDIr56wm+zIRGHjp4JBmTRCeGhxoKJ/OZtyk31+RoRNdPM/hl2mMfUVPtK7DjbGWYAbULZYEbKKN//zvmzB1jtXUmrqCvqFp1umRHn5ZEaVhmk8rD4HBw1YJ8tptPldd6CB7pt/h09VsZF7jwaYxpnTHrLBiF6lOqNWiDIXaFEZYlwM2+ZCYx7WjBvayqi0rbZPR+FVSKD6F6lj4aJTMUUyuPfEyktMgC2sBW862M7R8s2zVImJ1WhVLkgOo8Nuq0QDD27lvHEwYEMGnXECvxTu9WU3Jqizb8Dbrd/q2mr/DqOaMGagoNShVrY5/43WUWDhtzEQirNi4mjJmGKKkmW5mPN9luGzPVOxqFXr/ysnJ2c1bCZd0r13ovDXr5fVEJHTmefbQS3wjZW+hCpoJVXk6TbEk7cZ8xczk1YEmaebisrGxLj/qrjImmgXrKd6uBire+EaSc8aVOuoilVMPAYj6+rzIhDgZ7EzI39Kb12ESFZEZrB8VDq8Hi7SXPHkrY1kpNFZHv5yvD6n1OIN2zAtHRC4eu/7EvGgIyEBjE85lURygZ8RlQ1kdnYm8jS5SBSLFG2SYkBqU3DJnZH+CcSF0lcdU13sGiVLl+OwCqARr0qQltD/Hd+Hf8dMbxhXvBsrMWPxidPSIiNcYLZH19kDmb4kXpBUYEh8yiiVr7o2A+ETdxGbgjaFoKdR4uU/s+7KV3/xYLGMFO8IG61jAeUf3V72+bTYPuQnMrd4mhRI31yu5Lo1+PexicHTNldNr4U7QQaBvDa6SHbfYYlJ+eJ/QttunHd0khMm6SPb0nCdrNmtdcvWrioJHFDaRTHTgo9To86gIHt6uCGKze7jB1Z7VoM4rzCFzwi/M137RGglHBPjAzgaurYMgYpSTSXkEQG2NOq8fm0f34brntQj0U/2m43O8q7XKS9mytvWytGJc5lc0QJVTnhE6qQSjut+sR0lXhpe/yvFe5JGjPzMnUk5XfKaVseqBZH5qRTwnmuVob0rXBW5gbA0dr6fls3cW9i94DoW+WHU6jGRInM3p3vt5HAOtOLwLD3vyUVDIP3VYw5bBS/UsGuN3q63FugjK4ccfxzAS9LzO7cNa/KYY76hGhq16dOafT3rKyd1u5ZKuW+u1Ul9oSd51YhDmDqciI5RZY8oVnCUtBhg0JqJcWpOWxjPMqjYZf3THYMm27k9id6K9M8B1q2kuQz2eNbS6rvuafsunJGf/nvHbf0rKZEGRtnYTaRa+zc+1rMXrO/sifeqe6MjTf3IIy8/yuKci+qYOd4mpMwPlXTxNlFx3E2TfUHHn2+jmXoaP+nycRPlm3a3c3Z7KxLPh8Hvu7LmREZv8nCwyOM0+MGwbOMqeoylZunOTNLJc/Gt+1h84aOqv+WmBp8uf9t+ZCsQbP/m5Ri77TDP1Bpzd5+v9sBa6snPgrpvG0XbF+Wff8mdVHSiG9EVk+KWu7xF4VgPhDrnDjAJqlQhSNGrDXz9zjPVl7DgGpSWO/O+FL843VPDg6fshC44HPxpZRGNuaV3C4iO9g+wTnEBSKbki9wl3Y5CP4MORMSpOz/RXaFhfi20d4mPP21f+DjWM3zj9atsIB9esXn535W4MCD87pBzrppggJFYlQgxTVG4NlQpeAMxRmSH0bGoIrjjJa+Sr5pJ7Rrz7jCrjxINhWNflnNALNB9Hh7ZnOqgvd9MYi7tsz4sjtK6ia37mxY9ekEshm0mWwU7zX3iYNNHaPd0jku6WQHRBZu7MWTz9bs6wzKTOwM7oV2h8YiTYAfR5lIpWC2tDVV9j67lYruTVSw1/Qga0X38/ip+4rSW8VBZr37L/aAt0JgnWWNlSYtnuEJhXsaYrQRNn7/Wb/NH3WPdNB0NOYf4uynzH5+yKUtXx75eSqtdCZIBcRQu1l9fuSmNR4ClvcfcZCxtpnvuci8idUpu7e5MVUG5xu6qwbI856sIbfTYHxRDUV3ni2JO6uoTjGj18277v8w0ZHRVC8DvGyXtCHZi7g8MpEDS7CgFzPVN9MgdRErrn+a2xnMNXqExS98orG4LkeOngbug3T39v2GnBQmZJ5NWgLsmo0T6JwWdvsc9afAhrw5L+dQa3m5HUNf/BB3cQIT9FEQlLamjyv0zHRCv3h7+HJQHzhc2aFKshGn/PZB9dl2ZQUThe2kxgCgxMKrO5p/VJLdM4jElzj9E+sEb9HUon0NvYMbdleRUy0Q2USwgTaDBuRGox5rJ923psWyXs+yadd+AF7kfOewb1Yff9VfnT/YAHfnPf77qt0sl1PJVorLnmj60q6543AbJPSoOQelDH665xM13GZVeLvkd5eszHo/1hVjBcmEUHud1kkn0kGgfjsCETXbZsCAJg+DE7K5M5tuUhyTBi7LCI2diT+AA48DPK80EujZ4UAiFczZ4LjYScPIUci8Zum+Cd7eNaSrfe6Y+PQ87RidA6pkNFrZngfmcCzXWdJpQ16DdSl5LsgpfjEkhtCeUzWxKrsozFJEejWdkJlbnZ2F8ToxDM2r2cLHXqPqAsGQD+s5CM+zr/+/58Sq2NrGOcwdrzhD5HDC3DUFXPHnv6hmg6Ult7uZmlDCs+FOTq3wtlnxsImHGrg3BJ8l87A+iWahT3QPxoFJbzVgBwrbr3B/3HvHfDyVZNs5kZmTMf3BqtXsfxx4ULw7PWXfriyJ8CW21iPIP33HiZ4xfom0VM5uPL+ukvZEc+JXmxNdPsBZi2KAk0tFKDO9G8/6s6m2IK3EDJAf9V1vbaPss/DczupIjFRFrUZOldJHoRqaV3M62rY67nQWlF61smo5L6TuX4grck6eSy2/YIhCq3leSl95AzWc2gn+Ax+2D64rmISLN7ZluhY2O58dMBx367oG10iInrLlF8cKupVNdMBtQe3K6n1L8l/keB3HwTvMeNiPFdMALfzSNU/ruafLqY98LQEic8i/gibGyXEKcgUA8AHlY1LQzIFj+YCVS05OxcEdGHieyFC6I/91RbunKD9qfTR9dMFVXsUun7HYBeI7nIWBFUcKPo/eMCN9AY+/hqyr/CtiT3d7lkmEK2E/K07rAchgVNOZeNIKAiZwhOGWocaWKzB7sa9WO/C12TXBU7nhN+pttGVcy6mpGjEJHzl6OXMKw57Q9RX2fT3OXwTW2DtiV5ZtA61CDm65wQeyRTj6GgzYVHFc4uGVnn5nROrKjn6jPde0DDquOj1pFXUwAzBB59wYzZl+6HtX8q/1wB5mZZHVotsam7sqzOBxEWOR7dltSRooqFmTtwrueqiOuVs8EOewplabcS2AxkKV3dpvUots7injvFxfh8RRF/DrIMrWi5ZFJRPV1S7saxe0PG0QwZ0t6d5FbgI3JdtnweJd3sRlkt6e6+nSn68x9EZ/Yh+yv7YLp0ZgVys2JY9q7KLrRKhKEpUkpuj2LqA/SFq7NkK9p/01qgPer1uR5rUvJsTTqqZBYURDNN0SZIOY19T38rTPHGfIUl1ASgnvfQVUxgFFn10pksui5oQYb7OsZHiMdji2k00Ksh+F2djjt3wVda7r6cB/bQkVkDvnlE9xsKBNpjnRQyJ7QAaaG5pX47DygLPC1cYP90D8jvPGiLHP6YV2vhkZN1qDDpOT/wMEvTTW8+vuFQphlo30VOBYrUlR1hzrdHKEpW+KZrfkQwRvhrk532+5tFFyYK6pxMyJNcAtoEPOfQu+xGDUiyLs1dStq5gm2hWvWRenyrjMYVZLfOI7Hav9wW1WUFWAlWgJXBPVXmYf+GSD/mDRfvwpshe+q2wjin2woWEJixFLskV2vitpR2LTuRH4VXupzc924QrIVtV7prVm3LK10wcgD7G8vb2nfhmCRzaK12zIrj4ws9EhAf3IW1akWdw7wCU1DIufAczourdn76Gtl8jZbSrgq6vfTD2tIo6WyxMAvZMZvSySSamxyEFSqwzkxIH1cIILQyC8LCtnY6fbLZ0SGfKe46Ed/NO1bAImNxjlXCmfG8JrlgX1XMWGXXHuorUziWHNLB2X4W0hQ5HZ1I00pevCAmQhQ21PUolviWjbeKwXNINzNkgKvv+l6UFczNLg/TWEeHJX9bwMSeeceJ8LoYnjrAGTaye+Iw3VIv+1zAR1d9r/InjH61Be2zUy4Gv0/TUWvsIza3BfpNxo9Mo85ZVE/9vwKn95RZzGb2zE4UC5xeUnt1ljD0XzXF/JV79+PCsHRNyFTj0dpQUlUpM/UJZRxYnosLZQ0eL9F8Uv4KKWbSiQh/k4L9LRmYUQFH96v1m2PUfy/4aUpbFnuUqHi9qU4SB6XrqdHYst9jRvzQiYnFoIQPO9fkzYsFUU32i2MFbScwY6QYKKSV25zlPJUF5sipBfAz2OInaqo3QZnAa2wBs6TEWPPay3dJyj1JCyZy1S6npH4O0DJ8v+l0P6THk8pQkBa+MH8xH7Ly6WAjPCQbpmcFBLpaqCyGj2ZzP+Au+IXc7vtoLfVM5awpakOiYB+2AawEEJvp0n2SugVmXGaX+Wz9YAxwDbHV85wS/3iTD5wAD9VmyfBRZRLcoc6bW+mrlv8kg4eOeU0mZLisFuHx3opRvJmBMtKrTvlmphKZHXcEsZvXhOzOcw2hyJMvbyIW2DR0g3/2/f/DXRGX4uUc3rhaV1LLbcYUXLVRJvwh3lYc4S0QioTEdcSsH/o2r5XqJhRYSFHagkEOwNQ08t80QDK45qPEACn2Ou0TjdYc+tkzOXS5Kd3Nd8zL9pFp/cGUNpGbJBDvyVg3IBw3g5soHVttmsBx5XWFniG9RD4fyIoXx0p5fvPd0s65HRSVMzxT96yfavPLNbD3k2tzcU1Lp7YEEvfpcSeHBZZD6bWnrE0Uufgxo3KO2IuwCkOJTzp66Or0s7SKK+a+XUNWax0fVc16f0ldwcY69KhkbaK13W8RNFGtPrMLy89yYgcg5Rs+kxvwNbcs6V+u59j85XL2ZGX6KpuZOGIelRU0pghLNa/bbB4er6zooFMobU1DedJz8LQyLlrnXyH7dKlEv7/c9zCgR7dPjRUnOMxVz/6izgQpzmaEk9FKcQpHqA8OWRZ9ZdwWFVyAUk0xoWFmCrBwzjuKXlByJumGj0n+Wx2dBWULpH6HsjBhIslksdyQbuzkz3qG5YxCl/NNanRk/1/iW0grtGa6DUY3deKfj7hQ0JmsOZLyE7SbxVBgOQAqSpMKmDHUZqegH7EgtMgw+s0UWeL3qCZbqKsqsvLus+p4aafjF678VLWQko1FiXOWGlXqRDr0xQo88kdISUPQdyFHcDxl5CuI+43BWs6D2k9L+KISvV2iWYK2eiJcJtzkc5a+vDHrQ2M2khHQMvu3/D8Nvu/FqTP23mHVSLcmwwYZykrYL4550USTnfmDd+bMSvbfD7IA6cKczoYnIX9bWVbW5KRqZIs2pMsuFKS/IMEznGwy5qvSjN5ny8JSLPwC2dHXLXxop1hn/St7UxYZHSjpdhvbSLeAguYCUup3MkTifP+33/MzLNu7lARA5El8BDOSpKzBVXp1t+kfLBgO25W4lEjmhKTzTN3YGC7dEwVVMDRL12CRixb0ROzSSTMRPiaaL4dAK70isf4cZwBW+tnm0DXR1l+Aobni0yf1BGBtbsWuvbxUNoX6mtQjPSyUTsu4kci0PWWWJKxKfk7mWBH3IjlBufhiqC8NJEyOnulWOJ0dDOCBry8k98TrCaWjBQPyVKxXLW3n3UdW1ob1wMb1GjGyo8EtaeY8bGNysCcxKGu3vZqB2ZKT+YyJlh76A1spLYnMwerat5Y1DqF0a3ZiUyvstqAOXUmhtILfWzWWYR/JtmOvVpsbc7uwSR1p1ek49awW6tzaYR10uckncW8dbTYMWDbjuq62y9N1U80pfHSXV7BvWYW+1yldYyGIN24TTTnTnln1syJN0VxnfbPkMTLHwn/VxxlH0keeo8qVOAMhs9/uwD0dLMcLSzkDC/Ww5aCJSKhZYKDT42keN2wt5ApMsLncq3OyKPgaglaIKVeChT5nQoCADPyYrnYxok1fMAz573/VmP8ZV5U3dYj1fyA+NElT6P11VIlX0vIIOtkqny+fZU8vSazDy5rnxoUdbY+598jU8api4tBZKGojBf9cMvHMq/f55d6Rx8uZxzsC3en060AcrOxeZCZbrJKx84+aiH2J4kdHll9iOBCxc4CRnLNS4ZbbouBZ+bC0eNsmlJ/+uqT454MbO6nIgQqbJMEffIyGfyPs6BGl7UW4cXrE5429piVSpdYdt6gRDTA5l2K6t+hXZJCKp/76sOl7dkTYnFe05EvTM8X94N554CRLBMnwNCvxFSckcHklBjiXENku0TYlv8kN6+RRk8zW8wwe9VY2fZ8bl8x41B7OiJxyKF9ceusmupCJdYdu/PpCeKHFDuYlKs6vdOKFBnmaw3kqQ2QWF9kU3KzlmzbaiIw3bDnFI2Wts0i0FIWJEVNSOFuDwLSx6gj8CHuk5Myqi2Bsjo47C3+4Xc8QKRtUPE5nhbuwcmOwu/P7vGDu9Q5ZZiyjEzo0pwPq1fayV/gqcqJl6njLsqGZsPeyYisyIsEJ8XV2QhSRvtEOqs026KsIRkYza+JITBVrORp22cb23aAbQtj/ZfJqqFp4yH/klO0COSkXjhrSqmafkC5KWh/aaStZAptnIjk/JJkphNF8PRkvx69FSXmvrmlW4deCiSfixgvvzt8H4pn2LxBa+Nuhn9sZ2QM8PNrTH/MRCPJa7+4pHALG95D4FqTxgSViYGsBq6hWGaukAYphwVTIXB7EKhzCsxaASKBuOmwZuOMrHTT7ZYFtFBNHK56qsc491DwR8GEduUNUN0Ovx4Zut4xD0r76ztYdEWqFIxCframA288smys87ire+ihao7TedA8exRnrCs18f6jXWHSneLdPJGZ2KOOAjc73GT0WU0AsCBshGvittAfE9wOpnKMdNTgy3pFpmdogS7OknzopI6cDaCLfEvnaBvN+ATM0c2OXxOtt7g4bplCLNHdlGEF7c0IFwZ26huac5tKkOYhPbqzHXbRou2Jue3B2r/ZHwcvf36LVUl/lBb6xE/b/ATv5BYJX49fkbYmazx+tiT4R45jSIcUa/kp5Di2FFRg29cIigMk2dqAxnQ5Bm+lySKk0w3gJMRfnvrlUl7W0oApKMQ/3AvDZ9cjVTPu93eHVjh/vQKGxfVvbjk/HZ9ZnxmemFW195sxG57AVFm2GPZrDRsuygtmSy8ogZbSZzZdhzWbbxmghOS/gbH//XQENAQQOBGbSqbQHzYHhlScVuTlPNFDLFegk0sZPP43BqZHU1K/xvdtvs6/dNplX3y2nvhC2AeVYVBa3oXc85u51yRdet3HyIEpQKqYIaj9XW3JlmBRn6Zq16Sy85FP9q5wcvcl8GPEbruEEHf+XrrenX0orCqXIumQ+ycVkOQgXa4Iu8TlY1chM/HZIMhMOzo+m6HcqJwfIUtTGRWdYLwVnF01vmcbYTxFaIwZWNIVbt7JozDIb1dEIlTI1U5K3k2I2uQclN/wdZiq/oTiws2UUGybdPglKkhmdqpR/SWslKGuzJJFOFLTNVMChQrEKtWSP0qlS2JiDWUUxkmB1voEHL53Wj1ZKzKvQMpRDj3k4TVlGznkrkZ61GGjXquUCjlP3bTLp3quPzqL5UQBaN5YAM2jd1ZlHPTCG+w5F1wiiychWUXdZXKx83r8+qYOr4L/KHBokjMV6aVZHcYLnZHK5KuVl13PGdijsmGxbVi4pkFe7dg+2+BwhGlK6G2wf54kSzm91+QBa7y/p7cH0GrB5Krf7Axy2AURmyijgHHQBDHIJfvD4MXMOqW5Tyl3Y9v28j8l7anaz/JemGKVNDVn7PNt9IigUH0bsqib1waYIZ0ZCW4rFJzbjW3NR7DEG3mxuFSkxpdRoGe5MBvZ1RBIdXIiAz4JlE61qgX0LPcmhFbJ03SUZriFI7BnCKAnE02Wk7W1MgRUpRXuC2Q/1NpUdOtd4clPEJ4DZB2ab0RN8jUalKKSicWIFE+4MvaugLh1eEv0hnbV9XauymIVPklAunDszMHgy0RUU8sek6iYMVc8KD3erKaDja6y1xjfA0kaeMFhGMwUTUCk3tTpRowM13dTuK4aiJy0jVHejMCQ/AJlE4nqMsZH26dvtQaMQJkoZnn/N+pWmEELE29iFl1w5BBtMRKrJZ6qpneezMNJubtKA0vXkFLP/wFWx3zEOzzqHswdzqtayv2dWeYTZrWpqgm2z4pWGTN7nqjV/eEN3U1p9aTkp8uCtzeUUfBVPIlmV1sNGDaOd+LBdrdlnNBN/q4ci05ri0d9eo0wHTWrVLFbh4J+r64V2LPrTzubvPiyMwyHBhvtNBC5YUboHVLMpYplypQF981KkVLA4S+L8cZhtec75ZAL82byVwyUYL5gr7VxfCO26o2U099zR4UKG7JWuhjPTwOxth1QTV/B6gV9AKTUTxkdHi9QlQxpAPH9+y1VbLG8HgVzMZ6kWFTFueNjEh3rKl701hYfuROFeWf5ZG7E3g/aFAuV8wMAmMs8z6x0goOazojiJEgLtgwWHEyjhm0yiGfWbd3lgtZCxwPX0IWce2M+Lgclz951T6GUMlx5Wz9f8+41Fg3Kni51QisRhUpn3wMinPntJxgx8Z/UcZWUYSejJzEH4Zkkd0RQIMa3KoCDHAoHiuPooKVNh+9aXHWsHVTyQd731udYIdDRDlzAV0+pHbxi7mIMtXyrIDBxHBLSVSsohPVEnN2nMefYbe1D+GMrFigx/IFaLbVO6seTTnZTB3SYVnATlVtKgSWuzv4c4Cbl2qdYO385tw2lCQ43jIGcErcZ1gnT6OnJ4AValK+V2kvELJbxGb55JKehGz8qm65fPsomnm1z5IZM8MjDDmTHJdAW5sDe9ZbTrAWGVKLb9KoDEEZrBpRKiQtlKouMNL0g5ObF8FJpBjj/PNpw27ctZqONfnuIt1rab1udjiIRRL8SVvN4YdPo+t0rNnLu/9cHWhUWErZX0sSBJIiudCtZUbYXhQEdlKVshpQqNUVUSo6YyDeCfXGQ601TQlJhSF/4nxqcz/amZ5M/9YNez7Ja2Q247zs3k325ZWVgIZ2o+ueCfVFdbooGf6DD6lhzsdV310bff13VZQiTV607e197oiP3VlsUhO8p5P/FoIFDF8ecT9laugy3HSnVgLTQizPvWDqLf09F4FYTAxb/bVvKzKsnW0aOZgCR5cX5+WhnWAiD9sANzJt1jSgQdgOs+eQuYODsH4jZwljajM/p5gvlbRNSrgUc+msXNubfYlO61vAQAiWO0oZgoqkqh6avojC3X7B81DXgFIC9LCPjCK2rGw1EYDvUOUt1IeqIQGbOENflcKNSRSMGWVR8CD3rVldXRaLGX555FblmT5VbAgm45mV7wwaMj7FkNCN1esHsWuWVM1rfu7dQvBdx8Ri+/ZSdAK4+wG/P1YF4+CTlpYjOL3JwRh8H3casResUzZxh4/FBzWN7GrmXw7ge+Q1ERIrk0/lsu91sWvWegARp7I5JO7mAmx7RapkG+bejf4dFy5slWFzvCPm5p7QbGUVH6TRmtBAhx0+EWwVoBk4OoL1aCcY/NNPrTIuEf6dfERxMAVWKUJw4Mb9SZ1mjarn2mcmrtCT19OHkxHq7pmsMtVT1ibuiMhigIzPv9Zjt12pcmP+y6Ev1BlzhSTgdom7bBcZ3Tpy88m1NtnC+YCK2sKKU6UMvJQmqo4ygLpo3KECzJu4gx0pgMNMxWLQLgr/Kc3JGezW+7HW3j8gbdNTV0gDNQb7FbDQhRKzYRpy1QROPJxhtbMMyM0j/TNvxuIkIlbmGCILYH5a0mIObiu4rkwFWaatFyU515otCwu+x+YOZgdRPHKXfNXmDkdNw81e420CgWKA8FUt9V9HMWWgDPeZqcaMRrCY4bUcoJJPjETTAn0DrZXSR0AjMHq4OMTmgDrOa0qoMe439enJwqc6A5cIK7RcaBQo4FKtkhaJvdvt3TGfvyfm+JizTH6OZqX+LFKL7xFOFwdPZ7ysb/4qIX1D2z3lCYPr9tmkJZewqbTWAozpEHfepjsnwutqw5qG5RiGSfBPNRJhZPFvZhfjge4APl9TZNRONQpWhRhHCKvT9tbC7DYZPkcZJjbCe0ZVq3tMVFSNeXJk1gQZm4rQcxR9psaWo4H112cYiLyLuuijty39f7fU7ag3WxtYbI064x9qF2+up0xAVMeSja9frJxZtjtmwLzhYCiM3iGLZLv6ZBMUEaKVNqOZ7UrrNjLlQpAgXAzVI9j7Il1JqLdMXuGuW0lRF6tR6lwb08Zs5CocXIOC/EHlsY1AX42L42miMhloV1Bbyh2F3RSKmfj9dXDcrYjlWwWQ/fQairvClty84xwUXa4fFgoAbxxKhR3u1OeGafAiuWaPaMQY1IWA4TeaNLibN7OF4mxNXBYdfOUiZk2w3CtQrkcrHCzgEpvfkgLZZo8DxazEGMN5KXqPzkp1Is1c8esUYSv5Jl+KUnHYmRKrAmPviejpmr4g7kfX/LkLZRu8nzOb5jRDbxNeo4Vsg2paR92ksrkDe9fe41VEBbC8f4lqQnnJ1tMQlKRfI25y/A52uQ338HuAsJj/kxcEzuxv6CkEDGRyUIxxXhO6IWOKu3unGQwrlCH190ipwWto/bLwiy8FTQO8m1CzRfYyZBv8nuKuuXxjEeGr+KVZxiaXUrZoIZoPuuVgmSVatdUbcXmasp9FWxtmZbbpO+bHrLviHWJtuy/uzHT/zVRLC4rc9RuyZ8cxWDVJ2fxXlLf76aMqC6K8DtGzn+ymbefFVOAIDOB6TKCiY4RAMczwdHwaXD5XxiGhfGKln6yiilelcLL6b4rG8r/a5K/nzT6b4JcssJCg2Q+ByYu9qv6U0jA/MM5B7M2QOCZRMPKdcrpw1yV0yoGdfPYlaAfWZsKpbTMdk7H9OMvwi5iCPknqaqyZXbhw3f6owMGO7zl1qAGOHBnKUPcq/rcJKn0Abn4684hpZiBPnrJDR9NW71S5DUGKaPQuAzXXkAkeUrMlV9Aejixwp91cjwkhQRw95wtCQ0i36VUsN60r0fkEwOm241pvs1g+fSH3TcQDOR3JrYUW1yQtp/Znobx2vEsDuCHiGOJVUxTH7BbNOeEwFfMEzLG2FhnfSpg8ydCldNnVapjkIJiZr6nKt0OoVKOpBR9GAf3Bd5FxtUKqxyG6ALsnHIJGBx1H9SqzCQKQkXmbv8TDofpjd0O5VcsO3aGsqzvbSjC5OZdI/sDghnnFtDuAThQVM8sKcxGGMEwu84cKRpBMIqsUgXuVAhJYkUByhXkYGXTZFQr4Z8Fp3g0mYSC0mAlO4SJkUDUYVA/fmOUd8U9IzylrEoMWaRUU6kuZJPNY5XjOMjY9oM9P8sO2Cvp02g/cXzWN/i5WDbF2xIhVWCa9x+SF8Vbg4ikRXlvsbp9q8dAicnntoOKV6fu50KOEwxcje2hYfQzAD3z9D+1j7S9MzmnKTNdTi5ZBi46qVpv4Um6F2LirFzb5KydaLPoIxUV33G/fAfqetFQu0j01pBJser5eI1Vn46yGvH6BbI/H1saGbZhepEWiOPj2XJQj61LUhA8MhCPEYb0J+m4ICzjGi1K4sk+8PcoMrJi20pHJAFYNrC1aSbdW+bAVptTm5T4Jiquur1fXDfC9vCFdhE8+jqfZa891tyc8ufOAU2hlR+BUCUyxZc1MqVsBdAuRZbcQ3erXWV9J20cgAXtavtURnaE+OxOwKKgIOCopByuyn+yzXeN7/5pfdSFu+rEw62XSva58kXKdSXrgwl+3TzktVFC5FIr+NKLIWXLrFdYi+/Akib8wnkAySFJ7fdHK3PTrXAIbutKDJqyiW+8dAbepJVuOFp4aYzVWa74yAfUmBR/UyBjQM9JXZOSCbyZZWxTPHKq9vSgAfyegALEeQKfe/3ypTv/0QaS9yKVPcXwwXOXmalMpYp6NF5tJLFL1BdzGQ+FnLK3GopdILnNOK5j7lQ1P0LxL0kYJobQExEoi9jCVoqHr0Ip2VzqtxpaKpZnI/Q71AZLnWK8O2bfGR8yIf7o44YdMs0/VVS3ljBQmuZK1lr9Wi1RrtpxCsnexGXUzTl+TkQdbPZEsy0to3umMsNc7hfLrfL6W7ZqU6dQGRDredmokIelp/Fgkw0Y5CrJZhlJXeEhushYtujUmdp3GswAeiX1kBVFZ0vdNsafFFZwLg0b2Hr7XS1wamJTDi32klf8rMYSSRPnXr5ITMvWlbtWEYfWKjVYncwZocu5soaEDc7mldVFNnJCGmt6LeJFQj1f57CbScS3+ciNh/279OyZ/gscs4vgQSXEoc5aEnCws469bLeSg2c44JeqekwfQX5VOix0Mo0eZxZQdAhjyWjTJTH3JFieOh7oTeT5DueYXnwdrAvXx7TOBPBMVrSTEqME3eMnoTFnOyYodpEY9zYrrD98kPQ9U7YVpJA3sws5bWzoVsPnUrDQ6IkGiLLIKfKLDorSuqVvtzAbqNyOJeK4yFs/rkd2Yxkzz5CH73sITgH8bhTjBSPvxQoLk/TCvKacNbD78mTePhbDpN8+Lv9bSEd/sA9e1AmunqX1ym4UueDNu+WGZaE5lQBdfBUgxkRC16M+2fdCeA/NZPqArrGzQ83Iozc/dMzQNKwlrIKBncD/V0NxKLuvl+X9zpM0Xql81ZB5W62O8NScJL0YPxYBKqO5wLoIIuGYj6YqEYW2NHUGzWUO9/JicciyaUZlggXIQZ+yWvQVHfdskZiUzns4UaZIe56H/uNc9z+/3/3FCIxz9SBWUbOGZE6zjROYhqh7Ynpz8i2EoXFUNq5scDrwkQyVexeD+MEKdvf2305qbxoCSPF50PHcg+MyHp62q6HLI4quc7nxmBulnTMzvXlPCpN1xRicy90N8MUOlNNEO+BeucaGrp6d1TXj542Q6rtB/PuahtDbnPwUdGyeV6Y4WM9of84w0J3QeQ0cKQyeC+YmRhHsoMT8jPoNmdUpFRSzbkKzsMPc2Yik7kczm+pp96oFbJ1Im2zyX746Upt8UT9B7X37iymURpZlyzotV3a6CBFi8Xp08vLbd+tpK4MEVGZjrqx2n0tib5Yfs3sFm+kfyZlxsIBdmDS/eD1rG9LxPzlI+GB/i+JxAeaJB+4gRbBJXmcm1qNUrcJF5j2i6FESlme1gpHy2lkijRP1rEPlDBvkiKCwnOuk/KnIhmDpHgqTW+5t7jPlWXptlXluae3kaAEoeOMGlSc8c574tQUh3/rNJF73nM/TCB6X0p2but/p6730zT0mvB8YiiBnU+0FdAOlU1Ix3zIPA5Gy4AV1J/k8DRZ5kzK8rnQMJhtqt7aRvExeqrXbGl7Ld1tt9HhnwnJMGaEfCYm8+MMCo0n8+dgsJhIgEaqvsHa/uMpwY7oFPkQL9RKENkwFIpd2WlI1QhHx7fIRp1hP2WPIvzC32wWQWcJ+S0YA5ZtZefehDfUpbKsoPPV0OBxS4NRVGHAXjLPx9Bn1K4eYuHUk6nGRtsak8mK2bLWZBZhtW05uQuzy9aTmTS7w+6TufTdHW6YlMz3gSWxyQ5UH5bMFGdg5/86LPRWVhhmcjLsWgf2Ue5sK59FOYN2OW9LnzylDcrr6JYI3yro3bmEBcJ6VwXUWaeDXb8ggXJHn7HO7vgb86Ovb8DOKAWp/YrDoBmk2FFhvnK0OeuSZlmeJ0fE+RDA6NQD87yXVSI2XMnUv86o78XdPa7eNPKPJ3u8aTJlqMfsOLGwlocZEC9vZwETTrI0++jkrDFq2xNSP4VoNwyHI1fTeQRsZh/FmnwiGv2VSv0lPxfv4OxdFP2xpyb1I7RyJKKDWkepacP8a3qQaxe8u9E6hqKeYzYO11jHh4+Zx+7egy08+l3NeL113SEZcke4m412WRDtmln8jo4PPv4mMaVJ1+V+cuwGNt4IhLgX01Ks+3z60xNHOLtEDWVrtXUymdvyos5dMCtfg3bcJjlkkUVetLlPZluqtqIvenRpze7Y2g+gIz+pW3VwV0vOUN3oZ99LIZqxHS0u0Fm02oMaWa1RiLx8dHdfarTGveh0G/JaxCHieUkn87WtsaKtHdaAriLZe6U5DQajeUT3FQa5k5KARsd/PXOxoGh5qC6LTnJ6yt7wDO5WFKqwvTgEGT3JqXxZDpldc9EUmiZfKZwxg15rF95X8OSdrBTgyDzfyXNTvdLn+9WSuMvjQPp8j5DnofnT9rIP6IfX937O347ySmXtPcjm36zJK7JjsJLlb9GwyO/ZbG6pntnK5slmRhYzKo2QpOZEkwy7PUVkukarFO6udP3FTfmkmCzcBJg68O/ujLohYnhjd/rr8D5RJTFeOWieXv5Jr6DsX0t2cc4fY1LpRaWt3I/leVpL46mj0E6eg1iKYXp91Z1oFoNHPISkQ8rE+dBNlLSnz7bpWWNO1Q+oSPcq5iJbE9gV3Z6lTG6Zi7264cIpxgqnEZYdIWivgXMEfRl7HBI/sZ+qJsKmnW0/ouoDWlhJiSRKOtqBXxcS9zBueeZMzYQsLBz/oszJ7rR43e1hu8ftz38v5WTM67Us7azJ2BFRgGrs/Fg6t+38y2a7bc9l28xejCyieHrAkbcy8Regnaw0j/jjiHo0Y4N64j/YR3VmpvJiMB5g+w52Wjxj16zUy/0uxo5sGn31vpmZ7GE0jqcO62NF/mxI4+2fWYWu0CHZEq8Fe17/xoPry2OF1OqC0+02+eAciQ8wTPT6oQnz2hqNmxMc9yrP8oq0fdjOhsmDlnHXu+tUz7RQb8G/7T93QJ8icpI78pBfSHXw9uJGJq9rk8pRnlKqXqK6+FsvTn98Rb90+nLI0xaiU7D056nqp3hez1PlfLE5nvxUr1O9GYXO5Kc6nTJMBwbfI/xoSA1tQ7W+sERLdknVBxayeyubfGhTG6FT+YPSdVqFVVyNlVmZKkkhulbL1qn60MA0lM15V9uDRXYtFS+7K6f4GGGxFGpf442moyKN6ri7zvr6eSVBv28VnS7hdipDcCDRixJu2+/qeCrys1buTse40vwlpUcGAaP++tu9p9E8Z10JQ9c5N08mJvnVrFLcJVHNpCaMuuayPmK2lFdx3pUatU5mma6jettANQzNzbKs5NqpWttmmNxlNleo4hgrg/duIR6lmu3Q6eZ8DW37uZtfcdm6gtVRUGWdI6mYg6sHyDMjTZOVBuS5izlMLcH8jNdy6jXDTs8taRda4XO7zXaM/6yzJ+A13ZRXzwwPKneVTNfEeib/97pP7NVnGlE0iLuMVZ5nZ08MCFuHWFI7e6N/0o/yTs/1zvRVu8r3dPnRM1aieU2K5PhV/F2Os3Mpxj+rX3qe1FjTk2pv0UEZGrJQBfjYu7TYXD1er5uworOWtgTayBWqbyt2hX7PZtGY/k4zrIhePfwlpUNu8PXP+n7veVn7anpZ/a7juLZnSdc1/sIsfp331DlPYaBrt2IfV39O/s7p0/PlaXSroU13ATF58f4+/j5LebtW7GdTV7tu6hruhaey4bXXO8l4pkxhRppwvlXb006Zb/bF8HJ8N4axbqdlqmlRObqbdtMx83YDK9UgxkTxK6/v4i4DT9U0kDuTZH8wA3c8hoVd4Ps7hFiZLfx3PS5NHrb2GjZ6+IIh5T9HPU6pHeU3mtGujXHqbopkTVRS1arvwVWm/GG044rroyJuHy/li8s5E3ZRbZs6K3dTSFtXPrxpsT4vP05pF0k/NZXY/8b/FG+jwb0XLyhJ8zZZe+8FWExzsLzxTe5nYY4CEswi3uRZvPcVawIKTbFFysYGZtOL3g4NbNdVXI2reUqqaidRouVDFljIAFaaIi9/WSKRWK3ZNgOV5Nn2dSqHppPEXGTbjjt4Pu2MiwW9J7Oo3iFam0nQnKOjiRpHONU606+5KxCWHXEEz9nhmYrKzuAJvUkFF4ybF+/5m5bDXCjWvGQzt6Wmhl6BC3jwjLrpIElzcGkZ2m2QVxp2tkPC8chX+O8ez9dAwd50qNrzmOQr5if31lsAdJ66/cQLxxkDXoPeK/vxUi7VCCiydlpSmxADfWoSDpx18zeUBptWidUT6KPGTtQRKuZFPWVaeFulSV5zqB2SvHFs+XAhr1CBalHXfof3IMcLFRiG6LtfSJU2tOO5RvYgpNuQJ5f3RMM5F/Ki0vGMWoG3q3oMjBZ0YJc9rdKtD1K2NDOvGayfkzC4LnslGp73tKj5IYuSbvTcd6OJZuD+WFV2aRR7zfMDINp1+xUNPW7hZ1/UYLJknz/Vt27kKq7Esv9sIA51jNXNakiRsBQF3VbVal4HXXbNS1TPy4S9e9IxhbTQn8G8HGkAy+WeWfw0ULaqDPxWQWItW8i6CgVJVx0c4rJxN5vIhryj3ZYhQ/WQ+/KRBYzZ+BowbrujQA+vNrxbHVARKpEVDvHvMz1zegEavkM27An97q5BNOm+mra11MD9Va5tax9rbX1ycodtPc9f6m+s6m1d612Ge2vycQymslqnSYgndyVdTcMmqCzxsGrFn/B0Y+t3nlZ+ZovN5Dv0N5LduMm07jxpWAqtP1wOPr/hhnHINQ4fNM7dM859ZXx0JhfAQ/24k1CBAPsNhOCRb8Ms+LFEa5lFzbavB29eujJbTXhi9d6JqZxT0s7+YhG4YIWHKI5z3oYCKlc1tSfoBoMwF5hwU303Z/BdzeoYSGw9Q6oJI1FvugxtFYPXQ61RRCMJL1W0zG8qTodlM0sHfxXmkTfT6MpULnpY5QrIDqaBCWJPBU0Alr7ez0zpJ3AlOjM8ff7HhT48Xeommwai9u+z8b+qxQy0pzR0/hH0V78x0fuNn3KXxpCOZykgc8XTNR9XHnzpEc368nq7/F3m9002OIT3+jgUH8d4G8Zvsc658FR8dz9X/jUiKdxbbnPAtyHDGgztZjBrJBuzyip4u+/znbmloDjwUTT7Ct9pkwBwkN2qtzNxNjgJDqqvVz4jaZam9DczwTa1f/OxUDVVfzNGhqaheK0mQ4qd9RiZEvEF+W6ynQqpyulTnXl8l4TxW1asKMrtj4TYxlRcxbilWGe5dsBuJWiekgrrqOVwnNRNkaQl+0lDWILZDLVWJiEbL/5PHUACYk+fvop1XGg96mjxUdiBL2dwMuXNfeamBFPz9tHLNeczjoeZxjnHMs5iTHCV4Av/MqygP23VKtJhzhr4RXIZnsgMsjtp+lOmB0ZMvTJt/crTQaty5U4t5k4+rDnSG7gX6buMSh3C0hMmsNkef0VyrpuL4oBo51QCDiucTf6BI0l+dPIBHgT0jdQaoWmwOAb5h5rgxiMbYjDIKOXZJjzSv3idy6TGNfMcYPRGPWNGOWWhPFkyqVw3Cd/+W3pk5p3b/5k3dw7BKCPIZw/EnR/elg0UxZLB7KOAB5u4CcyspTwx7HObcJdncdJn8G7jIuc2iLZ824kg00KphRpJOX+miMz+BJGUzQnABXccru6J8X6E7k44lW8KozfYOj+ZCblmGQ4va2UawhPk1X6VByDzFFI9LNXclvlQ61poiOWouLVsfDsZ1mZ2Gd7GF8Lc+EK4m/6wm1JttFVXziNcnjFcczXU41nouueirFWlHSvUcmytcP1OGTib8L+C7r0uwUV4tpe6E+9rxoft5Pi8CRsS6HKCBlxtn3m9E7zYqNYtXOFHGbly7G1U5JwVmLUtVENo4BDVv0WLmv1xv0JA6+n5nhfvtV9bHCyFhcGQXBxJ1lvP3diy5JBfmta0cz2pVhxXDFEG4l1IWhBFcTJ5FlOOU4ZM7L34kYtF68M+yhgCeTZLWAmYVnTlP95Rec1YQC+h5ugk/CABVnLUq+jWjCkdcjq2cVG+RTct2soGqlE7HgGkSpMrbFTjtgPJciJax5XodFc+daT6902KglZQ7xiulKdJSEPoR7DRfGL6d8Iu2WpXMSd1ETrxTHW8sJCXXGeNPJzJFUvZMaxnRpnCteiTb/YmjmlsqnVkcyLFzRPuEmsSGsJPe7bCsWzfuzmYgmz20U1mgVEdFKG9pALzn2dNunHBvbzIPt2LVthMafqnJmfnOipCp2T1bnsy1fIFH8ekRYSYfEdWktUk0bhrQdCoweV407Hr8h9pvYmfZ6+eaNJH7eukcCSJjsTIpqzaqt9GNV5Mr3r78Fpp/TpXq1BEEtccmeZak5ixXKEeJaqCjwo7tJUz6YW6w9gxGA6ZrHiLPq92geu6FNuv1Lu4ITgM2oouQfY9+xeO+CWVCazzwoX7xrcumzyrPVzVqO4dB7tU7476Krkid5fIjeXVGOLRqFfZWcv0kqqF011Wz8GskHjoi340P3lXDSRMei6qB9IRH6qYMX1z3Qpl37MFg6Lqu6tDFc+TAnxjzuZ8dwjvc5hKzUSfnwIfWp2vArgrXgue2RdmJ7YXIZFOXU34U8cijSknKGLNb5oYqrzymZS7Gib9SYI8Azw/8zS9ajOz2jGJDjTbFDzu05xv8qJuKyvd6y+AOx7ycjG0b5MbLioM+MJoa6EJm08aCM6Lw4be/flRcE4cZfmnS/NK/yaYXT8nvuDvVLFeHMcMVvI8kL77zLXBmzORm8JYYmIxFTpDKTXGennHaNSUcVKDxhdeItcI6cssepRVGoV+2UmHHtP5kG1KiUu+yalRNWszBukhoVp+oZIFLVbzPKfHTQLdZGua6q78ofF2F4zTKHemsWDrR29nN4WZCgrpXHROiLeLqh6TSZE0BcwLuH6UT/1YkLmxoPYxPEkYC1ocpRaO8kVhkkkra7lBCiEEWhypsFwul5h2BgeEBjMzkPhUwE5o3sdNDzJIbU1/BRIlxBLccd1Xi0NpR+yUINcjOPYXxl/FZRVmtYF8542lh0VhtueiWCai9WAyuLIRLG+a6d3PVtK5G6J1FUrDi9pZkWPBS38TzGkD0037433ixof6B3WxidMsO8Plzb7e8YhuYcl/C8l+tlwaB4pK/3G2uPHnxANAHXfqnOPFxkjAdJw3gX4ovPrFUTeLP4t6qURPVBwPk+zS6FWWl2DRTBSz2ktIpM7TOADxpn+HYiL5K78e66ui08x8vbgb46cuXsT1zdxe7qbEDe9xGsa8lALlZxlIVk3nCWGLlUSAYmrtmbpiUVqOB3tOlIElIWUJHSLVz2xfPLNSTRVDyp4tuAUxqImHOgXUKAhpTGz4/HMNjXBFia6mPLnzW3PwSZ4eRFeHK6N2Lf8CW3Kpl7oOaLAa8ys1KzHeM6YF6zjvjwlIRFNxq4vpCqV8pd1VOke85pHpMlZHCA2c8ERVyTaXwIAUQR6qWspbMtbYdULjKQ1p3gqp2m8hw+cUQl/BrmRB4jFdAK5NCTeSXcFmjFbQpTUNMl7F+tUS9DBnSKkNpD6mgea9Y0w3lmrShIaIocqRJg0KIjvTZnaTNK26F0YyWbS4unEcKnEjmll9DpVy5NiaIQ/4y2sHYTPO7WRC7YHAqOOcNq12RyqoXDqW1s1Cy10cL9E5VQjeeNfFeBvjrYLMfXNhLhwv8lHY5WG+f7ddWIobK1Oyi9+TWRInmSYPdXOjJ4fPbPimSQXRth0SolanNeeksdOpbhjv/Afy/pKZzJYrQBkCyM2JpHtyCRn2A1N3+ZTcE1CK9YN8k4eMt6QPtfO6qemwv5j2gA1IvmJtQf0tWL7BXP7bsZBKoKFOBOUTrr9DAuamHNzY6rb5zp4NNqnk/wbOdNfU50F8QDi2/eOe76k6XPUTcJiT6uErFXZRZS2cyR0aMG7Wptszpq1n/2mWAlzgh8gR5zJL6P2oMVRwJCLJw+UjdCg0AFslkHhTtA0mJc2U3cPHydmUVO5HVW32oSfsu6bweaggwbaidsEmdNi02dbUpB4bZqxlwaMkB4TVbgh+lEOI6j+Np/4WSmie8zaSFKe73mcdN+511wVUU1xvWvemQEBnhi7aKUOwzrXPsFjZnsmWBW/1BqRYSM5XJybywlJOt9/C9ntEnbSjNxGlMhTrGHUcMbfZxa3SnT2bSlHuK+F6o0M4dXlUKCswv3y+FtHr2wo1zUS3w0z+SXrNs0mf1jp7vGO0q/XP0uTjLdigY2z9Srwvp2SqmeO35R+yomom147ER/2lF9G/cWsixUoj6TMLrq0I+DHqICjXoutCpx6AbmRd55efWK3oI39J9YHAMiLgHqw2dKgLFtix32Sdqp9Vjsi9UyuUpCV8bijPohuI9JS9H1fSrh+TFDQYt+U0vKfczSbY4zBLKemOjDjIESmfph4IQwlwK4pqZ+Ausx2Xu/+RQuCRLvSXq2Iw7emqyNT+u7Bq3LB0bKrof0wdcap6Fb04U3vpahdQvEi1BWZNp6oLFDYLK35YU44Ctq8e2RiPTGbbJlGFHQS0ruqI9eu5TCORntCqi6p24ia8vgWMKNeY8W8kI+oSZ8Mrbyae5I9UmSaAGzknSJvd1iOuKHq3nm7XeWObRiCtHTbUxI7q2CzvbI7y1L6IVya/daTKNi91oA9jTms2J9IaqwApzSmbagTpb4OfOL1+fActqtra3Lbfbb3sv9oO5hBqdRNETHp7LG51O3jiRiuWlpdd8FLf3Xprvva+1Wbjebl+fo3f2AdlMWwL9xr+7k/sAHTWTZwJdMbsO01+VW4fd/qnoZOlmxIz9Z0ZMHO6zpabNbTRDIf2SKJe+2K9mtTiyReR9ZfvXHCcq+r1Y4mjl/xtF4tq0Fe+Gkw7zd6ineGdOlROlPFXnJVb3hrxOx/+cK038jCKEwuJ18zE4tixd+xx0sZvnw5W9rrOpb8/gVDceAOC9Y0HMD1Ib2aPKbaoXoH7d3d4BsXRIus7SB+4hrMXRTySmaRwKjjrGhJSz+PZi/dIL5lcMhcvpB7etE066ZbrYgBqraMDYU/4D/ELKoNVEeq44lZZCHTM/ySR07gsxKf5HO3849L2f0sHxGf4D724gj1RyIjrs6qGDBhFdwH6K9l/XLnjr3X7SYrUS32AUMKRVmux5t3YJsKp20uI98CyStpeXV44nEcWCwe1bwcX9ZIAzwrttcDjGsE40pFwYHzkpB3Q2MtagRBlgDXOiy/c6qN7QoXB3mtEK3TF/jO7sdst42AJ7GvGF8aF8bwr4zXjpfH1iTEVaz/Kze1Qz7gO0bitowQRYHW0V0sJ+cY4UVSobu1/6ncRJP1mqO63tcJWJi0jqpa1SrwUy/Bw41ns/KJSc3FIXy0C10rT76NsRJROMensu4xUUGsPU517y0fX3k7a0udgCGhpSt2azE2USuxLzc/FvKzXqla8tO59RSw5JefyLVL++GZSf7y/kT/Vxs5C9sx52oaY3rEm4qlSvMS1xPhooU1jwbJR6B2Fs3YBeZfmvK2nexVVxkzTn8Rziq1IOxbvvbPYNX6kjk+fHqxxevZWcRpM7qlwcz5RoW6jcQZK6jEsx/b/67g4MyrXoZ58lc60gLXJ5a4lUhg+7HOXa8iuffZ5sdLywmagJIZg16rr17gB1KMPHBs3z9pBClZDydzrZB03xsRfniJ1T1z7szw7szLfq52l7q3zkSsrb40yVj1Ql6r6uy7kJh9FrCGO1bDkFno2rvOVyjsNkYsGiZnWHrMgli5nM1B8S9LkQFOYp3iGWE0SZEXSQsR4CprVC9STJw3h5nFJ4Xic44YS6kHAhkIHerrSxJBSQ3XIO8YmTVHPWNQCOJKSqpgzgcxyoxqOlE1VjhTZijF+LB5KwUwbyMrYrhY7xZNpEetTMhJ4VuoG3k2oUfqgcqSEUicWCvmbyaRTCAcCLndgPMa2jLL7Aebv5D6yQ6kRAv+39xnZh9QIq3igRSgIFjB3LMRgh0HvYZB0cRHgASfXAypCjBafku20akShvH8W0059Cbu9PFPq5vSyLwczGvNYKbjVWupig3uhsG2+Ba5thm8rSy4JC/BTHsD+W9swvykpm0ZU2KFAA99WA+HcO0V5I4GCtlS5Xt+P8p0W9SN+E0KwtnQhSfi39yIQXPjbPyX/VYBiOjcxgl+pHiU9KN7FWLizsawXo0S00d/LBGBtN2Gn9rFt4tcL54Mp9KKTwN6iMuT+UbpSg3o7SZ2lRBBUYNCbMGoLgyIOiMcL2IH0FPgAg2zfyiZba6/XTzJHahUmSFaNH3LjAKb3ai2kHY0Pv+qfiIFZSWI8qJq9+Dn+szwh0v3o+ZImJ9COk9aIMqgz9R2YXVAg+MIMZFSXEBnQPRNWQr34plvmUDhEnxgtH6RkM5sk9wAe2cSSIq8CjMTuCZeHytMAOfD9skLRGBBI5VgZMxeBe98krd4xADDi09i/ZEVIvW/e9F5AxYwBz4T9u5YEuT1CqOT88zA6ztCIP84f/vAHdZORtT38fy2eOcaIYE3A1RDNveBJGZbSRdRvTfKnoYAEjVlSjOyOJmAMOjjI0Bu/dCy60e4ot3ayD1obdd/HV+9m/T7LGo1XQ8lAd1iSRfvJJpRM9g6Pfabrf8Qps6hXOPIOrvZSUnNw5OuuMa1blBdpN1x3qs3qutxjStuIrqXM2BhnEbQz+QsQfCiey0XtgPE3kK87urhKa1Sl7Rh0hVGftUGJD6tSZJDUVhZS/UesaNovjhN85rfjAVjADGi8X9FBkhed7wfPHtCU9kJ2IKbZsk7Agww03abjWGJ/asgi8K4WisMjqQ7WZRyLBmESZ0l8xRcPbzqKUuGX7qnnIgkvREGQVUlECpYQuJJzPQcMYklFUaD1Jd9cpxoOJzco8FECBZEPBKWFtipSN2OKplALyapk/zXr5pXqrG6Fh1MkYMRICRjUnqNSnKlyzTD7yLaOaT1Kh48facc2+OSl0wWAJbVTS6Ju3mdhUZu0CCIuh63oZUmO/ftVrAG3b856gp/TwrNHoTvQRUNs+6gyaNYweZVHkcq0R6bsulSCYjjX76KkccSwzI1m8MR67eys1XKQnAjBZWpri3Avx4cWLzYhVZQeQZrW3lTFJNuSm/9nnkEQIGGHUp3NXoxlL3bn4Ec2j30re0F6tTU18ABZXgDIb5f/muyyrNEpd3Q2+cz3S+fVHpPQZCRVIbs0ZjKzYX/7zONYFEAnHHiBo0WrvXj4Y90b8kWmXLbzQds5LZ1hVbh2WvboKeJPp4ldbLThl+g8a6tvurOn1mIrIhGFOIeaud2fAZsh/Yydx74J91wHb1hzP7ZRSNYm4WuFC73YiwdxF6cxawafOzfm79C7/2NMaAEsaHg9mMDbSRRMjzd4xyeP3eBFt9vfT8edv0/lfBpBxtQODiHrjTUyy7WGdiNgjPVUgxRpNbSqy1J8+n5VLRWfrVyGwXmE/mI8Fuj64Vwpb+kJUbxtGpx94rGVvwNvVDowDzl1LlWbI+5CjUUz8dizq9m/3D317a+upZMPzGqeRi5Lmsk/dLO6tQx0suKiH/Adf+CescAx9K58brD/ALNtpjytppGf7ev3j0twr4ArUMCt36kbKtbAFhCtR/xYyCtCCgwgl+K7w0NNAsLht5yhUJRfC+ZD7QtUe4hGMF/9tFAoJf8MUIpjotEKe+PQYX4qmTkB7+Mo3UR8duP6sP5TneuWv6F7CK2GNlB1PR2tFrPfabkmezU5Fi3EiXs2r2uRtIX8ts79wvV+xnH9wKQsjF6+UUjyPR5lPoApPzhWkmdQfg4eejZX/7ja5UcCz5/8kPP8b1Z2Bn0hCrv4K7RI+jmcr1BhqZ3DF4wUZ6wXy/3JgNNycoG82TX4cteGhLzo57eCc0wbd2s9vG8+/BiVmEK/CLxwP9z6c6SIdrG7XVnSgrlBXOMy+tnZNP8lu6IyawPhTMBFlqsLdji0N5PNlCfiwv2Y54vKcN4Fsy0E3oO2Jisk7nsgXX8XUwZKmHg+Z3pgmeBnl6S3FSZg2VnxM/O/5RfVz7/+2yEB1IgFTgtOBGthzPfyH5YMchIH0AQiGgO4lFDxMDDtradR9phrPD8eg7AGV+8/K2xY6JHCiAdTruZ+b01Z+t13/4c8Fy1pbrYCh4Hdn9HQUk6UGvuszFklMSi/sgslC5IMbPi9n7JXyEua20csmFbCzV02vvlwmkmrMSdMCS8DQyAFDSfiXEKROmfb+d9r+etPYbNXDSUidPYVKnurwfrSdY311wjXiPMyZFnQ8GihWxrY/2FnX67n4HXA1FpE7iK8kB38kB7mz/5bwn1eT6DZoaJJNf/AH8R/JuxLIsIPtXXewaIZ9BvBRpXbv8yeEfdsom24J6RbYUhkLz3812JmWiV/mv6j8Yhv7ljBScmwWgGZmZr8vXSC6wAw9AUkDFjUNfi11vwQtMWvHETZCvnSOX1+SpkxdreRP8hy1Fxx4N4O9CjpL5hAfSJrCYaqRcZ+w/lQ5BW4ZOP2z8jC0KV8lU4VKoVsV9eyGnUZ7sQiPGVqACFpquxAJ3bdspbSV5r3xCTjjfVkBy+NDE4d7ylgEcxnyGtLkeR+mM9MvUsly3zERUrQbDV+hVrg8Ko0Qt9rxao/agV5ZTuVKkMhZF4LfN3/3Rg+0KL0r7NidpU6RZvoCyzhpapCf8tYDjS7bVVc2ZtyeFsQciJ38ViSlwfRW4DVYczdOVVpS6GQ3hAikkKPewFo/ausXa62S0+5ASQp8A3A89fbNLJGjn74X+E+GoqVa5wvDrAGUcK+btsUpItzXLr3D5u9+Jv/FaqwV37dO/DT7X7x4tF86s4eKPb4V+mB86VbBMP7V+vTNunhhj92u8tIv9fW9XX/IZe/lDARvfIZmA4WRHNRzCeiutx4UGn/KwhdK81bMQiuwILM0CTlUisWvdUxT60xMNCSL7lS4vUG7vH04OrGK5tLohny//BulEWq7322Ek9YbDKWEP9/9pcnzIxkpCYc4ihi8e2UkyFlzWV1m3FdfX6rRqJFUTwoxUbFgoemzKNHH0vxWBZtz4fbAo6cfPK73gqVxZcqfFKI27apkNyB5hZmCsng2/R8ztunIXtktvNquYL2T/AksT94kw14z2fbnLnKVvmGINg98/gdFE9+l/Oa8MRLs8aDobKTXUW/1C9Svz3IYOiG99q5eTbKBBwaGEpu3rfbORy0HC5GhT2Dd7W7Wx4NBS4voKM1U+usp1QEGcPvYeaR9bGCUpLl1jYPFrh7qJMnc+sS57n9ueAcuHKszF9VJPAFW6HIJ20GcTqrckbO80jfZbjgJGOwS/RMnJIhuSu7/vVegq6c5ZDdOKiRfXwjt2nLMxIe4Z7ErBA0m3YFuByC1xSNNh5rCE8R9wk9CS0HDPL3ZTHIFdswrWD+razLWiEKSmVtpdpUQdvRgceWX1XXtrUDYHMXSalFafHI6dw2Faynp3W3xhOS61TcTZi5o/kb/XPndY0Pf3G8eWvwrYSs3ROQbjVUBJ3jd+TVUbEJIU0gz7Ty2M5ZwDWDM6MB148UBR4jHG58vnh5LVAgl99Sa1Y+x2jDd1MlF2X4P+T61mfhdXjq6iT5WmyeuUEAJiXDilltl35fObxXnK3RfoOM36DZ3no6hVQDUtpnoEOUdnjd6XwshZXw3PFceSVK7aY06ibK0fPZYIkgMazCm36cyRyIKk6MJnX2tRPOFBg9lz23hDyhYX+NWU3b5ZqufUAS5rSLDCRiM//SJ/qsK67txDY1ur225Wh6OQczeeRS6oHTGGNcxWTHPUTkYveDy/VkTorEm9AeYO1EHCpHEiIDrD1Oz3S0XW23QOjF+9Zpg10QNZBpU49/+w26VhaofvCMF73Jq0I/hzvyKUf1nEM0KOo+5/q5IO0pWQp/eU2IhMoPJ22fmn/0VjiNNMMr9azWc1qiG+DtWxGqFmUlWrHIu2FNdyEhfAo1vFsmHuVR513ZilnFux/+RmeTLpp+yTytWon1bUIxmJ8ylF0zseqxWUHvf0ZS17Is95d4t5dqd2fvInrH0nuL3sGiXarnMoAkQ1/PYkcc0xPLY1fwa7i6FVOi7uYs0eZ2330lXE7G7WYDTYkc0WslAobu+vWiE+5bmaaT6DHRMxBoXi9SJWUhH7VXxXqfn8k9jIDS1b5vKE6bZf7yIDodp5kVM5eFqpWZFLEqQsx23EdZ82zyRW1nKT4Kye1OwjIOU8A/3ZdRSx/ne6BERrYxS6unuMLQZg92N9T1dfTiWeUGprSvaVqqR2yMyj0svd3dzpjsYamNu+F1JmuwtJ3bvYlN1OQDDRKahRd4T+LDLOGf8EWAAFEAqNlmHPOcpexkBEDPRrEIOYIXumtebq9s5bKqId+FfAqokDTvZ46ibFVkY9lnuGs/eV9JETuhkvXrTK/sM13iBjSSnG4iATmePTHsZq+OMhoLmGB/wyVWMy8aTELv2YW31Gyd/s8E0v4vxBYB62dsuL+PntjKX8R0QyNEtv6v/7GajswBMUe/9u1mM6O5z3Oiucqfw5HuvJ399p3uHk+7Xhtim8sVSXsoFFdO+Sdkp9rrXctUUG7zxzWOV0u8Tte12gyznwEVgYvB2/a56WzFP4ZXsFGLX89Kt5eOWVnXR3zgnPQc94OuDtYSmjQeq0f2v+CIJN9HfYx/q6sRMmi1CLZKN0kXMYU6nvCpnuM2vRirKJ0Zl7TLD+nJ2+kNVFuzw7vBEq9LA04+0xw15J2+jZ1lHqbhJPCFl2tvi4It77iGsCyoPtc91nDL5Tj9ee1fUNhz1P9wOtl6V39lKizaQQXeoywiRqrpY7qPiV2v72Im7NOvekDKGSZcNtQ65ZATehW86suxyOXoyYLJMclUXs0NC3PM6VYiZb4894qk3C6CDqK6IjosIRmbtY2BhqiswCEWKoB+mg8RJUFfRXACpIGGgkMrQH5hHIsObfaX9N8QeDCK4wL7dSYJHZ/tFhRhZQIbdYNXEhdiDiiyzvYQkIKsmY1lFtkhRGh6ay4QgdDosKe0vIbtNKAEtmzVhLeVYQQ5doaYZrIPOMv4FwHzjOW8bDbOgywNPbC4HgXEpZdsErK7UTuOHhGSz6mNHSHARLPh9FJkS7kXtVxZdJWhgyBpApcuPh5NhmNEpdFubw0lY3Lw+sgYz2wf+aPXpKGcbQK9znQsdK1dduOYSfqpgu2INIwYwSy8zpT2cNfOHkpylTLnOe7cSYes9/qmnR1P43aFd+UCzknqzLFcV3id/awP/WGd5l7TnTKa+c9ajrcSvb5dDP7FB7I+SdDNNalGaQy3dfpvoqr+YuWoJ0frF9fWWKCJrp5eCKaUUuU7Kv5KtGUI0xm9ieD99swCjotEkBFZcgNgUJ+3t6DZTVI+sY9rbH/LwnDPYxclJzy2Jf0xVjha2D2UMSptUF4Q7XrfQUNxEXWO0C6Jc0W3MzAIzn3RVr+a2KJX1/KxtvZQQF/g4L9T73S276N7ZVSRYvr0H0MBN9sNHeOLq4CP/GsKkPgOhVidmAZpajcl34/Drbs/UXdmsqD9Edcrjk0YzZ1kzHwJQY2s6WKapZoBD1udiAkMtyi6sQ+HY7MOeC83WE06dqKatA+CkblY9Ap6UhIvoYRbYtXPWCLcmgwm57IIrUFVouEPDryWXrItuzOcft9HgBAdCH9tQNCCh21Tk9/2oZ3I0y+48qlMSKUIkYTRRxdqvjC+CqzCbZvKVT//tNGYOZJgi60RWDUahJpsR7ZBxfSCK6Th+/lqkk0OKt+TldBn8ctnDaNhGNvC0dxEYzn6V8iIUcyXkKY/439W3eD/qXHvZevK/4irr47Ve9wMxc8Hb8jti0n2F9GViuNgTxaSUylQQCm1iKPLJUYnHlZCQ6LNzbay3NFPYvtfO31+Lrk7rjJdnAR3pGFpgKiLjve/jUM7hgK4I2vnQ2y0evPveQ802WHpl8jaYKIHUXpuSQ8VMhwJA638ig7s3xSowILzQ9lh6h9wSSmm3uS5Fjo+cMvTjyR4EuIgKJdzkXEc3cYAZ8fAFsOUNh6YR4Q2NSl1gsJjd3AmUg7jpSuKNGkIVuacgGNaaY83D3S1njRGXmqWlZeLXmeNmq3EtfksoHu87UskgvZ2q+ZwN4zDPmTpA5o/m0udMftw9xQb6q3/s4MqpUYk1ZKUpomEC2eDHRVQh2rFzE6ju9zCDMyVk8FIfrE2XgIZfgYms7yz/vCNWNk+qks8vhfkaQi6ArK99DscajJ4KP2YAR2sda2em0v/OWTjdPLCoMm9VXMT75CsBu/WiIU6MXKiE2C/dFlvIhQtZiVqOz1VLK6Np/RONd9f6FrUaMiCiInKaKd4Gz3Kg/sYN9PFpBTcdH7P9mKbYrqmEQDwoRCKcyztE5J20KDk4xNAkuzAXtvfmi7u9Y90Andl6Q/XEcArK//wwNqXZiBca6+ZuWClPUApoWB+OYEQm+zQXJgT2UgvPaRFetZjZiP3o/1yVTcmTANytNDMgEa6uQZh0xZ/GN/9MtsLCHAlc2gDb1hzLXqKdhnY2S/3rZUQvrhAnPPMDCCNWSQZNqHQizPNB3wl3TrMsrIBWAsXYq4TqFy8EyGdKrrPAmSsXcsenHs8M6YhP8BerT6jpsgXPT1rdpAP08YLHkHDjlk7gq7FStxVA4KKeaM7itGawH6WtH8q16OzGPQSHkSq2uMMPqhZzXpo2Hn3tAbu8Oyo2WPwoQiTMygiPoFWUFLUUav44QDQG+DGoeWEVENN4ZQexAn3YpPosA+PFjxThtga8fOr848CKtc/hTt5X5WXJDDFPvCQl9JOMTnIskCbPFaCNTI7uCp7TWgkdiR5+hPp11nmSHOHadFTYv9LntwDLxvQ84UbCr22kpGSVtHiEIw4dyQnDMDG7DcgHRsMjjzms9IEHeg5EwY6+QgDV8ino7fQTQj2hgEYCn35aQ8Hn/S51oV3txvXeYUFHoRLTUSBgekHP5/sqT8oSJ9rnA7vz6Kith41ItrUmccTCoIsr7Xh3gFqQYAamPbaaY8ToQrzrEnXw62hjchM2WZY2zF02pPX1QpNHaax9dWIp2JYZtBkLjaw4KnzdS+Nt6P/c/EPKEkb+fPILNtP8BHGMfbtX9KZW582x0bhnmJmprPM3KmSRlaGQ7rqte9zZogO4fyynYo7paxgWtsuo5R9nWDfeXKcp1RmPCCLrfoPCLTqj9tZBbHqBEw9dXvNr4tgPrYrOP2pzXAqM53uzO7kZ/rMsTCFpaU4YggeevTxhBci5Aiijjm0KOIMHG/crncknmtcKj8+t8OqdautwW1Ox0s4O28BPUb7S3u2Gm0H7zl21dtpNT89L6tbbY5C+SpjbiaX86O5OOx2m3kSvPUX+a28Sk632WFQGh1nw9N89lrUN+WkNcWm+nZf9Ae7oDnZ7zqTV3GZnW/DVeu02nQHy0tnMUlRKs6Q/C6H0WBxSnqfGA0Gw48IdSfzX72sII+PYQ7Jt1g8NuKCdpdIzB/7waeoZBk5F8HpMxtdklF3UWncyUUcSSPrdh6kXsw6T7H6s3RmaSFR22D56yCuJO0tushtyF4U6t3HFa9l59PHHHrEUct0kbEkiCmAUafahx+Buwr7sEMLL8KQQgkjPqtORKa9o8YRazSBPFGrjy1MF43TheLU6cVip5IYIpitxhC9bh9ZFJFH6RbsSKzBg8btHo16O3SMtrQc8FKjX1t0jb5q9RvPMiN0q17iIYw1aptoNslFo3FAUZRK3C5RUpXVS+xR5prBM/plE/UVRbWLTrq0CODXiHHh8BEHMm3CMi7iPbhpVlWHGP0TX+fbcXEdrYtbI47KxUADSlFWlxsmRR5j0soBYpPG5YYX2tOmpnm+xeQV3X0ZISfLxzdKKW6f6IvxeLi2urqautcnc5yyeS1p4BIxJWJDDcmxxqGiWxz2RC+yFl9aZNLQWOPTL1u9pUWM8oZ9yCTG5Eyhm2pYxmgibroALCp0gmajXfSjpqoV3aD+OIlmdtyEg9EjkKWGTd3UKv6uMr1zP93lMYgbzNypuirysNXi4pHSx/jZ/ByZtAWb9Lt4zywUpRiKmVqoubq4pX6JFG/YSj1dYgqT2fbtKsKmeZir2Zidi8wEXWyxSU08LVJbtzNbczB7E9tiQW5S27adfdi09/+H6vA3fE1PwvGxbU5z+PTQlwS60VCMzSw6kdgtorWZxyg3Od7TRNXJdBqBWUxGMapQ9U3uErZ6hO8IhBa2mglIz5QkwqAqomAlC8XxlrE7O3IY26ExJVY/iyZS3axK3q5l5pOI3Wz54FK1B1PxchcOX68sATQtoHQP25N1LDpb9qy65r1Lkho5sFHydTN7UthcngxhZnOztIi2p/ZMsQ+WU1SK5CYW2a6a5+g3nJtzkoATLh4MSYAKkIESuYOmOIKzq7vOaDb4bYpRPJgFw6KKcrbMno9Ssa1SjkIfFwXisN3b8BQP0BUzUSmCpFEM0Cg/uXjyspIG+bB5sAF5EIELLDH8ioU4sxA9wQ5s4ckAU0K3dmU3cXsQgzZaSvCgy43lgi/Es0W5OUEd5IMxO3nEAlf18K1EDa1Z0iqzafHa/cjAo14SbLLGuyb7wf+9dP6I+/zPllt/JrjhSC6wENUDncw8Kt/SCy5/4mP77C/tbrMwTkoA8eWRS3VUwL2cdLvJBZ2A7+Lp+oj2S3Uk7MEL0T0+KK4/9rwdi4Id1vpVJ/TYTwAG6SV95nwp1OcX5FBftgn/aMMTYT74S/F9PN4Bj+FPjusDPpMiuj7N4HhMp73C1fenU/29l8en6fpX1k/7Fa53vR+Jtb9eiuPtd5oQVF0San5Z95v5+ABpe223JJNj+r+fgkf5kpc5+ivgz2P1g0Hu+ij9lzN/drjcL+qY2BenYphnbG9FQqd+7srJ9Ssj3/ZPGTBZ838mgSTtBePS4G/wL3bBRsEHkgYmBVEINg6ONqimoHDJAw8DC/aVfi0URB6YvFV9HAF5iaicsgQIQkyGuh0KXA4knDhEAMHaBhlL0TQIXGgyBOzVFAj2V5DzZHzFVWg7NOkrtsNPin0F4dxtkMv7/0lDA5bEUqQN1P3jZRUrjAaVS6howQcsyCqx1Mh/xj/GJNz9LcUCyiXXCuQBZ36Vydf9d09qkn90Vpm1nnFnX+7a+7jGpnYg7revlKaB1N9H4tMIw/2IrQ5oI1+uOMk3swqAA/oKWs4p8Lb8H/51AAs2ON5YCef+TezHNr2L2j8/9wfbyX4j3vstXlsgkZyFPzfnazXv0sPb6pi+9R+8Z4A7wGugrgFZq5ZhDporoEPg3YF+y1a9aYA5UMZ9HAsOpstO0nPWtvDkW/MIXr/QJNPE6CzpS1CiZd8dsYUKZ9mfLu9zdQZSdaCWhkFJUllZUm3URL6RSU7lgjIqKKeSIqoSEkkMhhbEaA/YF410TPqEajXUVAgJTsSJVv2hG1C1xGvwodCdnLHqmFoaqCdMnCjddNGbXKl6PmgmnWKqKxmU0ESAVPIpIEg2aeRRSBIpZNBHKVm0kUkOuZRRQTmVFFGVECZBbHM/yP0E8bZAKzWEaNk8F6o6ppYG6glXHETppoteemgmnWKqSaaEJgKkkk8BQbJJI4/CQRVkwmvLS/J5aTRaWhotjUaj0Wg0Go2EVG6LSMkJFGRUiEgmrlrkDblMMmTIkCFDhgwZMmTIkKEokhRFhqIoiqIoanvF2wwi6flPjw6yqSZJUWQoisyZrsRttkvbENp1//INWBN2kycJUPb49q2OFto0VL2n0N6N7UK6fFOmUsoBmR8vbzUs3b3G7mQ0JdeSHzf8WKQuo/qDFxquk6x038YIzb3MzC2v9oUxd9w8YabppcbyvOCJnsC3X2O9sx0cVp/xsV7jvEZ9jXGyuIE2spR6f2OMzSizkli/DCxi/9lNMK5Ivo72v6VyBf8rM+88nWTp0++B0eBCKRrkkwiJmxxw2iMee/r7JmgMcxbrZzm2XI+hbW6tQoPrwlOe1yyhsQ8EqHnkKCGiMhLcU/oFTGatPUb0f123oL2rkg98/CmnDEHiOIMkgW6HHL+InswSibkmuciH5ssOsNOPHUp3IS2KRlwWP7v8Ljlj+7PWZVpSZUfP6w5ZOfPhuMPVLfnW3KGldJjxDvvHzGtkRwjW7yCifz4tZ5tb7JaC1tQcd3ojJGe73v5g2hpZn++frBOD9O1X4WnuKvRdqKqw9njBw3caBT0vwZ0vFz0NiCZ1VenVs53Kw2OYS1pDBz3crVlwbiNzEkj3Je/JhEVMnADdRJLJzkJy/3lx1KtGhXDz7ozIoyBRYU8kLRntUMdnnEoKyTwiW1loE+PWxBYCr7PWOglVjY3LKw5niooM/XiOdgvNznIue9LUztxRp0E5c0uawVja9bTFqGbGBR7jEBMbURjus7AUK4Q3WtJ25is5O/QsZyg13MzaWNIVKWsqjh07wsXmJ6tvibhwbnebRPGpzupTfBnizAq0NoHXD3RTZHQiHrwveH1CDqTcE59OAFEe3NcYH02XX9TKkp8VdVvf+gdqsMHm9f7jRPBpf2CGbN+X6+EvyDJO7HFv3agfeLSO1PuJ18FTTr0yUvXkegiw/GroYYXj5fr5eCBRE9aGqeKZE8Yg+eF3W7Zl/NVp+8kyGss4lFVKryWOIi3bLNyCbTltoYGW/llstpDZAE/O+fURpM8TDFQnNt3qKm6ofm3PuV7nF5Pq10ad4zjhx4cC4vxu5H0Yl92sB51gG0Fi8zhUobTylWWiD6mmpYTlyQcIVU1VqaO0uCTlkgw3T2mZ4USHKXWq0VmIj1GtSi2p8d8zysyqnN0qS50XQbiPMzlLBjBcwZ3gxHa3nmzxtWT/7/8nP8Cw2+OwsBFv61I7848YR+fAErLalyYlcvQXYLoK1CJGSUEdxuwtA/GR5d8TAWnTLJnHHHhee64jHP+Xtq8+XwJ93ANYYroHqixr/l8ckuQMuqZhRhzmfkX9Sl4UQP4bbs0lbQtmU+dTjws2uizpjnSQxie5ZIA4U9o47P0jaASC4+Wga/BZNSNx8OGUO156UNbf6CTaruwWbH57LcFXKVpeGdShL9uo1spprEHXI1orYeK9OP3o3Ok0svoENtbwnkXnOhW521S8ElLO8/IYVvnyXqZyGLTFHEfDW9zsmpRnnDvf2sMsETxGpmDt8jh5vHInLGsbj+5XRt3vHcmDbWa51Lr5W+dRHFQyEz9mA5UMHMpaXKg3aYpmuSbkZ31k8CukHhpuZUJmisiVpnTuuHHLO6UH5Us19PIKK5FjFLLK2pXOPdx5xRshngPcKQvjjqQrssEwHzSVCuLKcMETR0gdaZDfF7JQwAy/kv5egjeRs5cqnXfBlx2p9yVUnRNth0NxeOOYDF9HWs/lUiTvlJXXdZXOWd55rrhZfSzlkTpzNzqOUSM7YdsG0zqZSrdtnDphbccw5YZhw8kOIT+BOcoh0PR08Ii2OpwLZLpDB0qbbKEywn22Ag3O+6IOQGuTQoklaX+nGs1txSp5TSBt4pfxDMjsEHj/Piz4/3tKXwNpUfL7rsthTgnwl5Q6RD72RWH9VKxvXirwSyhuLzotfgRF9VYp9EqBPih6scfp0zrNte0DPuKBOv8xnzsUNAdzcwn7ci8ZUPnDkjAeOGWWyTR2j0/n3CDFEdw0rlMKDZSy+xfFa5PZ8NSvYOjxA5YnN8+/fOHtJ2a32eEqr1AmphqXcMOSSHCnCulmOoqohaIpolgSYj2SCbuWSHdkhQ2NUGuFVKSIuihK0c2NObf4hE6I27Li1UEJ7t1yzm7rxZY04WrVGi47oPNfpfGHc/6DrOvq1PkI73Y0rtuLJ9DXfTlqhcZbn5VCj5VwCw6ba4Cg89eh0yDkefmeD/KeFumDbM9MrHOubixWrvWP7+V4Hcq5sX90bYwU/rTcZeyup2us8GAFS35UbUbvgKuHdl472vIT2ZWxcb9cDo56x3UOsclIl+/Fij35cRePyShNrTieJ9E9nj2pKGhCkmZGmJcQehOsXY4t0/TAuC7XbomgnicxcoxaREaoT8Qkx5D1jA3u3mIiMF3Kh0GWUrawuaF3bI/zcq6pzsovnEjX/o6GISZ7jiX8zAERQAAI2IAGeJVXKurYSzNSIrNYJL/lZ//8fQxPPjE+/wUwASjxEt3sUYjq+0vmyaT0TVB6siIxvnktPP1TZucIlJfERW0oCW3SaUamSz8KyHoqsToiU59VKnL1QmJ46f38g4f/5296baTYHDVPnnL0bZMWlGY60Lwnhcxl4FK81FfNmRtd7qm7cElhoj5je0gX2eZnKiHgBcW7P9q/OLRRvb7cLsTSLisgh9dem+xVHk98OpnpAmEGAsKBAC6QAQWQAyUQAdXgxPZVjsTc/kH4XXRxY46mzS5vtCGJxZNtbRfVU9QLcYEELxP2MUVInxRQYmKNRQHyE241/QdzqVtfRKs03fkN1mB2FyCI3Ud0RA90RRsUySWQAHrW97kLJjzaoS07uIX29RkKMl9PHbnMGd6EEB2Lmvuu9Y0vKjhhaRZeY4kDhHvMbXYJ5pqRthSwRGqHvuq9tPGb/vUC7d4w5Rr/1nmLaV78zYhV74F9FPm+VCP6r8tKl8T/mc1eY7rzGaL5LeYvLHG+lN1Y68K80be6FxLwGhrCfNhegtv83tfSZgk6IgdYCuTWefsW4qwMr/0shCnzXp0S99XtXTBfMh6/Pl7dxf1eYNKRC0r+zJEN6L9E/ZJAH5lZqWpE0f/FpsSA3YWZRJiAVjIUNUpF0L8dW0+gHdLO1svQ3HzbYuhRwoemnLHyd33E+DF8h9GdaEkl3a+iDCdxKDs/d9hBtqtX8vsr86ukTcJnOadWtpcMproER4SYFHNW+RTn+5gP1C72N6tOKz7lpQUtzEOn4i6OpxJ9Dp8ACRLoPGv3CryArM29Fu6cerR9p5LqYHnaNFN29Zk9TfuLTY9ZVQgjTnc3sSEujENcy6VFdaaXdJlaztpkMqyeebqWY4ncqgCMME4lwt1J3hNYl8hNBUMRyuyEXT29+hBewVWNcG35AlXoivVJxcADGdketW/N/WC07SWg0veMy2rX6/NLfWqibnDvstBkrjF4HIiGPFgIB6bqBvqRMGNDxjUF8r+sMwzLBbX8LWc30WWcMKbsIANDlttusC3XgBx3cdjDrvQDcMimRdAkyYB4ZHVopnryXsySYzIZQfLUqVa//zmGTlSD+aBn59p4AGSBiXquZJJNztAkzaCEMrAJBCYG3MCKyRuyuZDPaOQXfpSS/z752zAqSdZzb0UqWwnje2EtouNRyn94U9zPrm28mrhXLFhHIR+rFsll22v2xy3zS2/TGb+1SKy6l2k5VUpoTRkTOb4ENVIB1OLL6W5+0cDazK5ZHb9TPZMnYge25zzcadueDXopaKC1SWJJ3AqUIRwfKe8zjidZ4Tf6S1IKxRHJLrNzHraYP9Mp5VroeY4YxuCMQhZMj/OCuhHNC+TsE79FQVn4vcHS6ZKqR4pLg16JIF0X91x/hmphVwKl615D72rkHIia7pr21njvaM1AInWNbbV6hdo8wnG1HZMUPYTT73OWdo+AoNX/nM03YOFIU1IGBmLgABBmSTzb1kVuHN3ldHkJx0cSZy8qaciocKhwOAEuiYyUrcCQuMxpeTK7AOTkWpLhxSH/vNBiHcG8vi9ObgoKLSRxH+jZpGx/XKNwlPYs+rZLjn2zFJ1t+5Tr4F5H3A5l0s7EPyPrySK/nFti9am0HcGTN2cfct5K6Aqu2YC7fbluCJND/ZjNWxqTmubr9FqgF7JOmYmztyxbdGaxr8svwjeJVMZnnRnEPNcFBcHOcbAbHyALTsOCCGXNvCzrjKiLZmyxaWmV4tRNCL3qZ9uatBLDwAisbITYbJhp35c10Je6VSyb777EuHhD645c7mYTxHa7bLJGlY4x25tJby+zob8pjpN1aTZisFFgYKe9bDMrUuo+ZOsFVVXjmlWncR/fUESaSLysMMZJKFl2lydA/RmehFgRZdpZsEXDPiva2YtN8bK5ljxxJKlsVRaJ5MyoQBm6oyN6oGunKbf9sQgo7hftnKRPipBKhSavVqUDynGapgtpkI3F5A6bp4Mhqy6262EbY1KKEOrbogk8yJXAhg3ibHtDGnqFPUhkyK+Ckg+TVTGw6T6mbMptSwyeZKcGtuAA9jYLsl3TyGoZyLbNOTvooT3rxYkNwWJ4x178/P3Kuuq3VzB14tM61w7fzSyZ8WD3svWl5W3yX6dFii+tLBtnVtFjebpYCnkHEsJefm3BK5C4oWYf2208Js3AWCOf2Sdd7KyH6mjMfvFOnMOmtKxXNhqTTkaTN4GXzYXgy1opBx9yVjPqbkmwW5xtscuaJtEptnFZj9ez/iJnyatlNxunPRbiiyUrp+Nq+W5ZfCeD82BeXZk6LVTvSlDHNO7Hu18cNwvDAfYXGiTW7hAF5rHKkQCm22SXzGZbTMjCJ9t3ttXElkPb87Alri3VWasQMGKbQlsJ2TnhZeNTksCI3LZ9FrYPrK2HaqiHhqiUNgzCKl6xBqEfmqIWurFmt4V1gLpoxhbxZnOgJRrJKjjBObcIXhhbDQBhXiLBQ5DgLZcVQQS3AWoUDstI7r1FjjyYZtDKUSuGhP8HCCRNRqpXLd9aiJ+fLw/ds+9zgOiirCEtUETo5T1gBOstBfGKsYyCFgQLzN7KFW4cICvMzGhR6ik+vHCGgzg6LUznKQiHTAGG+/095LcQS70JsDtsi/PWvTMYRiXTuMJrzlTYYZvjfTzgStTKmrzU9PFJRpwKes0z0/hhsGL4RAE4+UjRowrJQ4uEuCZKkhrBr89Zsje9X43GEcg+OMcqCu7E5Kbt4B1aj9vCTS9Tz2ZvC3cTpus3NXXd7pSysC7YfBb4lxNDGNsl9I0SDeDZc45VxtSRL3CQiwokPlxSGN/dVbnRdAzdqGApR+PHIfUVP6bd4l6kq7/IO3uxS7/tREzbzYd1xvnc1qE2jh7wjIWx2Xt33R33ME21Da485FMhKwTsRaYvsACQNmE7eR9WeSUVyeayT85DLFVRrJxx1/NeAVCBZR1K6B+xY4w67lNYHqQ2CnunPjwQlTgcRum4WQ1wwZ11RnYOBXY9It2E1o97QGogOPWu3iv3Y5uHq3pVr5Wh2Wb50KiKlSojSn6f47vifs7jUNtNheNBkumKxOExMSPAh2TvV6mPbt0nvzv5KDfZMfQE10kEI4DlItvhXf/kB4C34zaPKDIPyLoFdpnO5Ay+tu7Gq9VAnMTaD8jDABUKha3c3kA//nLCLLqyQXS7dtpiavMf65iPbGaY4veW6dt2HBlBomiV9lj071NC94yDbH1VdHbkqyrprGmtxsvZ3Ew7mp11nm07rvqks9S26flc5NB8WfTp2g5iJBJWslJtcI3/ssAcYz6yfj1sittgXxQ7B1YxrVUupv+9gR/d7xdk+GFneXFaoOcuFyiaR6pthHc5tN6vIdazUe25ir0TdJs4UIFGt9nZRThqICc7gppEUi2sZurhE2R2bQ1enPkKxdhymT6UQKk/9QNPjm/5bkyc9ruMWMNA7pnZXL0AX/uTf+JysuKnKyYhsn9ZmciWEEvkBbZymrc88wXAcVhpVtluFd8iExwVInecrFLKpOrUruTPZGMfNNXxOUWOJP/ipAPQtfEdoqBVpFU3FyV9OHC8l1kQ5ziHj74PNQd4BLaaju3W48VjXp1P7R6ni6q7ajzaje/P+LXUcN2HMVtQ2EOD6UnguHPsckRJ9RmFZifW+qMhAT17Eq85QeTXClfOj18v13LMdQpD/tqEnJ61c2RbO0DEo3a4icvrzItxXfgv2/koN3+rck7MOhbJXdEc24j7hmkul0rbzgXehBOIzN//5D+nQNwIttxsNdovQJ05d2gANFJH5N/J7WW/yzwC/80o2M9WunLOeSd2FtgblGuxDerkmN7tprdYmgXmNDUi0pIquoMDO64s1CPtsv+Cz8CmbFe3SaDm1WKeJ7qmCpSohMVJWg4IvRjGbsxfGr8USRdQE/5T9jkCpDfw8sHskrSBouHWefWk/faugkgo2ryAj+Wy4gpwdVobFkvGfszvl92aU26cGQ1Zu3SoVhMz4OAUf6Jp8bAVjoeGjl3xwgnDLKXik32XJRvFoRLE8/L5Ga/yYVNcU8ugfqmbK5FhZpZmEFsR6uO3ahLfdlYm/poN45ZP5px40vlHWS2mMn9nbXxBmN7n/bbYiSTj/rT30JEUHomURPwsz4bofEhMGWdl1kPqI2857J95culMqwse2Vrbx/au7B4pYvbGEBjJraVbUKJ5wiySK4P6v/MJcLGAdZc/RjafYWXW7phb8niqgszT//L+f+0BGk+De/iPzZihrmXr+YOFqw7z4qOq8zopwJ9HVLz+IYOsuDCoLeMexzOcEs7egm83EQpxOjJJNvPBSaKepeLsdJspQH3Khu78AjJh0QM3+KKUheLxtLHqliBVlowaGwjDrljOJlNTR2lbKm/+OT8MBLDBYkbllfBPGVV2AD1Xu/SATAo2m5EhfCDzIXvMOMi6z0OYD0nkjTFiuNHQkZCAfeww0MKmNQq0JMpTym2ch4fdDKV3Mipk04IM/E6tEo8tJloCzn5MGaW9Eg92XhSoQWjjOo5/QeCGiXyu3xpfIuaEUNREEr3AuPyZ8mQDekt3PEYRqcpN+Pm6yEehTth6nj6WOQKzQg2qDnZCSu5H4zSAk4CKhEJFb1K9qae8QobsbRcAcJRZFLB7FuTUGVlesOE0n/I2psQFTGihQa5wbN5lHBtw9Mz4YnsS522Ck62SyeOjYBQXqkYvhg/VqnXbej/+nqsDZi/GYNEnBQg/o76kY4ltlFZQcgRB94ymCX4J08yr+51YLbW5sd2qZlDbmlwU4NrgRsu6HoaSCXtUYf1zwPHX05HgXA+gfi8j0HnBPLVqZKCxobAdqcQL493k6JM/RrNjtIwsg1rBwNQUbA2nK6GTTd+PgGDbNmwn4CGrp+rbxIdS0hkUbLyugZMf8Wst/6odlzOaUWOVCkiWb5UepYdxQzVcsTZPNd2gbdH9dvjTpCiUDRvSjZYhfapwfIRxQfwaDm7iDLu3KT2As5vXuXXliFhdLx4iwfeyd1a8HU4SkdYACaaJ7+/DP85FEZ38M0ZXjXsyD4VDVReGsluDimrqI9P0LI6cds3iex1/jDM9hEIXZh1dqso6W5bDqDOhnZbixT91bN+HZbvh+MF75hoeX12G2LjoNScI3/0QO9w8BGbYMOC19/kl1/ljxtZ0GmxPdptjl3zVXeYZHH/nRMo1abXT3AC8k+/zOqF1WkQ8HWtJLjwa9PqJbCN2J6XH0/lZAIWOAtct+FKHFRCgHZ7vOWCRNNUQHEELdXniaFccyN+3KVLI2wXLJC8imrK8654DUltME0KF+NhV6yVALt+jXuZCUDWNAXEas+opVbh87jiaHt24Gf0w4E4IfyG7usg1Xa1vnUd8w2m2D3fSB1G4BRgxpsejn5GA+AX3nXpMFXOtNnHcB261aQs2uMBTt9j8aXTGgntvIA8t8YNvglaYg/P7oyQonJmmr8Cji/VUx3w83xX6OCraWakRylczBcMBR1Sk/yQKK+8YUuvlaMmSRQ+zAdptTjhxUxTcoGi0DPOtic8MLHaIGYsGs/WKNFr6VtnhUnBVf1Gs7QelaSV5aJnw8eXxpZGSkPJKWf3kaktuFOlsaHP2IolZRGZALUgvBO+ET4xeA2i1+HG5k+r6iObOrY9RS3zuWkoBlrejWgpK+vL09Mp1VCiJiHE8cNO4Gd2HZnZUFrhBOqjSifgK25uAIdre0LNpaFH5FJmJbc/WRe9dSuFtpkDfAwcxAlhlLTed7XLReGD7/FGbm823iiKoecoxRfoLdtEnDTuIUKDgnoDdeelWS1MVutTwHBSWBZFiQB+JW7BdHiTIJ4ZuNc0acMBrkFVoIU7o7uliOdWFsxa6U6aW7WnklNuTNracjB5fsEkk0pVMVxVi5MpRd6OPTW1olWHQvZmHHRU7fV/j1YilFOnksY012DXzRuh2IgfeFAjmjFZYCPMrgSR+rMhhaxaLgjHB+vntQeP//5m7j/xe58c7P7YsnvS9fEGir3JtXV8hKKhas71gh0cRaF3lZkAW2GhSrX3agRb1CohzYPDADprghcXkPffCpWl5Prf++h/FklyJWblFCKO6LHUPofHCkqqnrA/wQICYdXyKAAtYSuE/nAN35689RVj23pnvD0aArlV44FwG+KSMtOS8A6wPhKpzkO2SV5YNWhhrvAz7KYFk4pjQOG2cjxNe87GKJXOMy4XgzrQ+fxoKjdT3+6VT3/T8/qZ8Sb6eV8youycSZHZZ7hqeHmaZ3WkPCGZoOKfP2YgReX7zeUlQfS5w9TjxCquo4YR4KysP7xP1Xwa8u3XGKA4HtvaP47J99sDzs1i0hXS6I8MLK6RYozcQ7VmgRQ20chEJ/DImCexQaJEHjxpHEb64wZr6fBuO5mCEXs6P84CAYGhm3XNHMe5K7isu4f6/34yCJkofzSWapx7I5ikZvZU6VVPtcnbhVrbv0//6PKsgMcduCPqDywzYVCPVZfpGpO0l/K5u/4DrhtQg/liOt0yqB3+txjqM14nCvNu2Sx4cJ6UKWg+6PyaBJyWnP97JxCj8A1oBZ1DQKulo24hZ4BwVfMBFjf0aPwMYpysyXLQuqMtIO+ai5E44XcA+sblrUcWLIX7VBYmZQ6COG2+XWdZJE4luJXYoGPdMStdYgbGnaEh41TVwCwMmVO4iFc+TpPiRCbHDAqykACvywh2RRKsZWsMNB9gIfxGpOHqBhMpi/GH8QVkri2+Mo2HcfnlcJxJaCyksyXHGmKsXJsHQ5dqheSkMhD6WLIoq9Vtzdo55m3HjaCW1wJ0FyUthsw0WmtXfRYp29yuq32b9dPalMFGKU/Ay5KQQNlmtyEW7TVkypWFAZuxIMrDYy5jcmq06kEWwtRZ+jHBDbD9rd+eBDG+Wr+ErcAnRYM6ReOtzb2pipbNjqS/V5eirThIRGL+ZnWHhOUeI0xiwY8qT2LxlJFYfn992X8gJvUYx74yxa2Ttmt+uTPh4lfZ9yWANKhaiRlVwv9Rpg/RJmZjCjdlJztueS8l+8pj9SBaBCsYJTdatzHM1LpZk7VquRrcZN1GSN66KldsN6KFPrfricuYpSzAc0MxbYVSXlRMa0tlNcwqbGiCWBmXGuB6YDn6wqGOuPILvyoyU/neSawyyzrUGb69k/aHqne8L1D5d2Vda/+v8wnE8YK4jMY9Nqbf20LuEXd9O2LObSNQkKKLJIMUjw5hbyfWYU5Xsn4WxDSn0XAUeeggMOQCpSdsqK0Cnck533eTZI+d/s+tHgbVDLPjL7CE6Q2ndCp00zewMHbrCl1u1SjKibto7FDt0ya3dSxZIaEpgeE5FOWrh/D3WaS3DiSX4mdKSnJmEG6X7X2ZJPVVhJhgqZbPZZyOEWZX/wgBgtYQAngV6gRW6cNTeiqkm38RSHWwhqOHIl2g5KjSD921dsX4tGgBU9D2CD46qO5aiXjzL4Q/0zLX3pyDwRURC9NjyPMGLJ3prPIu3dbw/ktuLN9JhysAj4SqaywfMaA5G9hodo3dJyrLan90tom1ZNIcrcH34U4bVqqrPUqRqpUxahVfVSek6XmkdP3qxnmTzEPvh7BLYQ9sjHuaQhg9cVy4Yk0qLTK8Q5BnBTOHToqGb7QW6Foj1di8lyuZU+TpLMYNPZOvzY1jrrNztXlrk+BygN6wd7IkUyyYIsf3JV6DcjGJw9KBQjhU/N5yyHj+MimCI/o7sE09P4j2bAWErd3WzJeZMlkfcM/hAZMv3kFNuLPSpxKr0cf4oGKYTFNbPRRTe+OgGftqPOOVsfGuu0PcA0B7nRML/J60MOpiR9hWtX+B52N1DOrk4b7CJM/fgU+OQLH3+cC3Aeq1KA3tMGzLaklEhmjfkVbbxqFEyVmOAc/SxhpnbLdIqHMQci2cjlizRr5iB5DJl1VRU3zIawjMOpYzqfc9m6jLMWAzbDUqSgY6Ih0jkAqnFPxr2eZ+ra7iK4ZfriAXkbMXGw8tLNSm4T2cNn8FJ44SO6tJPfTuq6ZNpxCW20TkwBPVa2BSjk0cVgLPLM+WGbNvfIIlbeAv4dUACKLStnQLSrCk2Kk3aW7p0m6+N0YRim/2eCf4vM0JoHS1pN34to+xiHI6148MhO7vWSzoGaVjdewjHT9yfiLwmHqc7j5IPR+y0mU90hxGbd5/Ybj1aZ+kwzPGEPsOllP0mIYbnnPGk6crAhM2Gq8ELGbsC+B+nxIe+1u42VZPuOw7se28r4iRyB628/HfUGQw3sR6UfdUgZIuqfiJ+EFd7eiypEggue6FpInj3G0IZQFGUX9ynSeC941BHkeOCBGLLQrbo7o0hh/OgBPKlE70fze/jm2hy/1VWJgZpOAvIMNU1Jh9daKy0HfBLrqEbj4kTes5x7zKQUc42pwU3KHU4+RmwFCuGmYBy6y6/IDOLTcgEuyXSsRzwlSlLRcAbOoXo+biDwhr6PjtDk6lGY9ABSzbnPS7YQR+IbN9U7ZMYioiuqX5fYyM2Cg76FGKWV5cQ3IVvEYTjtQh+CYXba7CHfZ3RnqOJ+2UBSU0yI3XQ0CpK+PmxKD60y2H7A+CpO1b/x+eZgJmTRdrpVm4Tkx/zRMF+zo2S06C0g/NG40Lw1bibXYcMTL63Yyo/t0urcq+JN8xEoeOUO0/zJgvmZlbcBJQZ8xnE0nimk9h9sUDSlyWZOi9uQ0JkUeRlq8HirHKqdu0wd5uUm4s2LVxEQcAr6JSg2ttjt5bOzaprIM9FeN3bRejzb2hgl9JnHtOYz5tvBV7GQp/TIH5Iy7nhIpB1WFtnnjllb8yJ482uSLbsTw8EhNLcvs8ESyA1VVvAIoJpwhcXBTztfH7qxG00RSO2/XKPZpEuOx5WycOudK73Nu8cAgxXiDQWvu/4GVHxFF9peBKzyrhV4ZO47E//sCDg0Rn6eZHSuFqwhmy5w6MwfOZX53ee2zEMLrS3Tt7PqmgtF8/svgSa6fso8OY8ttZqyWYr+GGUsDFIE0hOFlOAOSTn7rC87HDQYGDVnb46XwePBlox3t/jrx/TQihMkHRGcig9fdS0OcqNPC23ZQURcbNWlx0BzYFKizcdJ5Yo67YrXcezIhJzZja1qrphZOFwlSJ155W5HyGfRIWl9UGfGUNG9gyVpEtGVi6FFifmh8jZhiZDiv3vR6aX5kGG/A8sVhH/Vy2gw3WxMvYH3SwezyWux13vfl2Lv56I0pTnCn5Sjr7XGsBmAHcwvk1deZdq5kVerPiN/vhz/Oin4uNlnrFm46Xe7vF3L/5z9/CnMEbPyahkW0+3+OfNe8+Qr7M9Zn0W7iK4vs/hNtduRp2j4b60CHl48NU6UeBqwxC2483GYNW8jC6RjZsOM0pcbK46u0h4euW6nSiy80ylS1Fma6tT10WPg6NIvR0D9uZUsRR94hGptWNI7valhmiSum6lKTHi7c1S23U45+UrrSGufL3A6uPMx1yrXsaas+mmUIwjdV9ashQzxkZcl9N5FWvbN/EuBpQd7CXM6DPxJsqLISeDXLYSTQJzKGbGiKpvqkTqMKDvuBXt4sDAq6w7zoSGt7piTdu5Vm9cqHnT9cSRnhtZc8wYjqXy7hwp2exEzI75OFBOF/o6reLRghEc1qKmTvvgZ4s9V+HlSDMdqEAUaFkpyu9W+Oy+GKjuH6hMwazM6P/c/kZt/9vqdufme1cgdQmkacUotNgxHa+tLhY3uq+CD+lksQCz4Ws0I2RhrJ9DLHJgPqKyo8DSbiTJjC4j+6s0KUqsXmu7ygcdghPpEBFWIjVmtxUU41DdxYJsyCXHnPsotJqx5Die5yot9jg4jl/zUFpa2W36q24e/V7R0e8JrgmyOkBj/GKAn5PN68HmpVIgy+MCGiM2hwV6I4CCzZCGHWxcR37yLyi32P/GNoS53ExdLCA8IVVuq5QQPqlCqfVKCBMuQ2yDEsIJ3ERuLCHMWiliK5UQNrwCLSkgrK/ypBaUEA5WJaQVSggDXWTZFvEJLtZeSTEndcFkifHg7bzT6cSL100MV2Y3tHwdVZV2URqetVZLh1vOHmp5JK7ULe+E7O6MGbvoaokOa4d7PU6XtJSdLc83tF17HJ4XdXbcONmr64wFge3xeYc2a0+oK493hSt7cWb6r3p6LtHiAgZ+dbWLJxN63PQ6cadtaDwPES9qLqlMcTEHPes3KST2DH1tGsx4UPIsq48tlXEWjjEN9y/qnEj3h4Vn7qrMF9uUZ5/vj5RkDtZeiBzvy45rvFQYiNy5+wNRWZS5WPvUZdyrdB4dpTaF1HEPjjDvohxh2QE6wrt79dJd2w0auG8N4yOMop9nFZaiOex3jnrGpsjKw7plYCpbBUoCu95s8jNGreuCDH5OXBeE5eNKz+hVartfy3ceUNsFnf0T6Y3PS0nb9tcSiElqP7yeA3tFZ7eEIS4XKdoKIapUNUQZ1+ssYX3au9vc/asmBxgi3iyA2TS+fzmm8B/BaLpX5rK6TbMi0dzyUKyrpzwWvo0dUTUpjVb8S2HcRqcSZGEBMdT+UkMg88yvZ/uv//wA6WfHFDFHxPgFl5LfX9mqJDNoFZWbrDqNLuwk0kILXUz7ffwkgpBJvdrruZxDJtVj5huAPYY09TDjwipf9ZjVgNtJwIbRWoWOnrtJUa4KRHLZqekiV1c5T0exIwmZLPptZhB+gpc+kwx2vwBx+2S2/VN/nBy4seiBc9hQCFNSPpp6n1lzCBVaGJUHroTXa/NcG4xCgHEn8csN8SaapHanrFBRjSiafEacyHaPFlAeV3GJSmjMRiaNsmIbdmTpfw4yz/3Hk17PehACwuh4gN8ngednJsZ9nKJmujrJRrT6qVKtUod4wmAQHKBr5xoBUyUTBE4omGAUPG8YgrmqIzBNoWiZB+lMRhwJmjIvIsCJ+rTFN7vA0oIb3rJulHHgUNJxNK2pF53w9Cwzk9Dp/iUYxFVvnGBolLHE72z2kn+W7ohXkB/YfSTSPV4LjgjPn3IJDrjSDKdZMOSRF2A5YbXpep9mMO0dUYhk7l7Y2lORc2UiF/p3W6MY/xwxorSYqVhFwWg3WHEDqj93a1pZx4kSQtylcGFa+qerHcmPIyQZGUAzIYPCkYw+JU+oJayRqOMjhOUWj/3KEbYg4lffkOmI+jsi1Mn5cX1Z4IPdm3fy7fsJAacgHswC3UDSMMZgfWyOH3B4Y9fLCDBkT/RE0pA2dJm5HBKoaXQcAAUKNapCsgw9dV5jQsFXCNOW4GSA5tvBhJrBC1jr0fMnwGvtgnoegfVwV1gID1fj5H6qZwIzR12fYtdsn9iXYLKs96yHWLY3mlKnTBM9yMdWvcQNn5QVEMwJ4xNWdbasR7qBLCslH7UFw2RJG4wSAdSsypysW8NmgxteP3n75FJE+CR45Fvl30m+UH7ieR1PDZjdd/rWZSFsXwQU2e5Ur1/rVo6Cp8ay+9DOmXgMDRsMrsbWOc65/wN0yyKks+Y9vC81RIyXLi4afboTA0poMiWnaK09z3RY9kW7jxIfhpxxtuBO0jYy5BRD2dXr6u3iSXAMJddWXdFV4ykJlRbN2MCoNKAxcrEaymuJI+cCl9AGfQ9BKidU/2luiJtuhde1zoFgQJ5mq0qZ7b0WZh2a9RwKfIwCUcF7HA9acFLSFg8NxjRs7pClc2xNjrJjvj1N8Q1TlZ6MJZ/cDxZJDrZYTXiARmQrTExyUU7+hyUUHn+YmALX5oYH+EVImrZP83HTDpDKdqI5ozJtiG/VxDf2oFLA/SxiV5yok0Ov/O2j2whSUq3AIUHEDMx4DAE+KWLPmwu5KVOS6+/qOVC1vzK8F3XpGzFyY5jqtjZuVtS6WldXjc3lppGqclXuX5dJLVH7Yk7bDsQSQNdPwWo5PRRYIXknR4u/9ZY12udBrwKZe3L7DW63Z+N4iu4RApAbZlgG8dIHgFJ25nS9b7Pz90eSlrIdbGUZmO1OPs9XLk6YZrh4TC4dgUXfDVfAcAO14UDSBK2x1uxQSc+ChbeRBPQqkh2kXYmzRGRljysQnxNjjRBN28LOzu5x7y5I+iZheBAFcvWYAPMc6VhabjltpSLnSuEgKhFDjTRb2ToUuJo6gLEJOgJ2xaFAPdeWbd6QgHZdr3V91/UpUJGb4tkt/3EmcnQ3SaRxZtG7/JPzM1IH3If2BNEmKIXPQXqoOJtNpXWXVEsDAbk/FcjawrMLPxdw6olhqoC00MMggOoxYoRk2i86t+lpx2p0gT8bBEOJpfZvml20ZXKS4heBTnvAftUvLGqn+Oz8yYtcA5miVX0fhMhu3KWumYaHe1VK2utUQwv9F4yhlhLD5xC3MyePFGpuVQ0UlrOA4MVMjQCLF77D4BFjB9V72esmZZ6RMFZ7ptpuOWb5LkrMG3aCpybRGXbmfP0YLt/vT3cju5ulqRGBjMaOsuwh1JNFDHrpXNTzQzpZKWZ6tsN3bqYpdmcczTmuuJ/kUxGalqBebGfJIUU++4pCI7VgCxkl4y0po63N9Zq/jItrH8dCiW5rfoglN+uA7HYIJR6iPZAtRFFVFUXKXpECzIQ861HNvK9Vr0BX+mYR0Olfo/R5c2gG7Y+ldPymiZO7shOoGjtdbuOtY/hT28ExdsfhX8dCmCX1R740w3t/ORO8PLy/b6CBxpv77XIzjjLzsYRAFLcZTnxWrbZv2wsGWboF8ljRgBBkrioFOwZBCqd8ORK2lylI00duabb0hbP2l+wD4WgNjAFKjSZP/76ro+c9UDnXNnDpiF4iWYD9TGHvC1qm8I4w3pJNgUUFFGorJ8fSW5SWFP7wG/TSwbwWHnTpmKw/25KZD+iBXahtrA9kyXWszX/QRJpB1BOArHGRBXW7lIYpBtjF8GvKsSvV8UrbAGGAfDrxVn6Q4MAXwAzMeUoHUBpf7h66Jij2VRWYO7JjxEcdFUebQqVZBFTp+3CXAPpDby+tzo4TJmVgmXHDDJaCAku7qYxfWgoOtQEZzSUfzmGfp2r0DtjQGhlb3Re4daPCqNbDCzaM7/9bwVO6brDyJRc3NzbgOsxzVZW3ESqdxi+dDLC6tIC04PDLPDMJ6VKmpvMByuGKLOeJzFD+b+OA3EeWD1KkhJsZSkZBEhrdrBf3U6uQT7kNUMFL2Nyx3RUPafJLHUTBNGLUW96BNPn5wsWDR/ieNMycxVbHAgqEz+IQ1/sJpqTB2Qxuvc9rBQunHPugZOE/eY2I8Sd/5Lq8W+PcbPqWRSjLr/XIpqESLmmz93J2LMd8ILf3qsfI3g8He5ZcfLhn6lkLl7QrY42WHwJ5w63Fn/diyFFk4wwZefQ3JLwcLHuY7o67gtGDO++UdiKWihgOkBiA2p575y/Htur4ZbfGnFYgWWPDfsQ7rzMo+YbDcVBYtW4s4CzKoEqHUbq+cq/cJm7RynDA2rl2Njg3D2t/an8M/uRPo4tJZAxalSl0kcXyvQdkvCXzra9ed9TvijgqQjgu+kSEWkNZJLWadQNXaal5fiXI+2zjZbVnjnMNxZYbCY4SUEGsMdvGPGnPbVPXBLLh0n1TuA7HLBUNtt9yiqirpyH/0tKQnQ19gugN5ZsxD7XdJEnwh9WGxGa33dQ+OHYl43qYwSe4tUE1MvbZeRefP1/UMHyZAvjn+rYR1ZIFlY8snjtcF7EoYntSLfRs6tq5ZIXMIVkVuAfTi3UOqM5P1Nm3Gu1V9kl3BJPxK+803mK20nseKieoemrNwb/rvbhCRceYneKic29PwuKzvBrQSdiDQgy+DUnpKvi9/QmKjuzViknoaB47P7W4WJBNK/+6u5iNgiYagYpl+EBf7+YAP6S6fkUAwZ2T4R4Un244cdE7/wzBfVfOxFw3o3oyXIkA2stsE3cKrnMEXAymUuUnQKQ9iLEnpXXh4+tfC7IxXRPTj2R26McfZgLl3HsOL5vgJOqVSVa5JFYO5hpR14vsR9BpOaHIrKkxpmmLg1+0sz2dYb1FUuiwOWDBju2K8H9yXZDIyQuXUVNY0IYibayLVmvzf7QuHMZZs+SZUyb9ZQKUMb7hssXkT6Va0QrWZr5tkqEGloT5NmgLKS4Ii43CSzs/OFlhqReXKFUqSWZaHfpjS5054WV04fpjnHCVNOtqLtPQ9K1X8olinlGIZtUWHkvG7PLCksUP3j4PE5nfDzYnIBRDw4rJpLnzXaCU+xm/60mmLu2BgzIkBg1Qiq3/9LXq7th+7X7+tnqoiZuBebz04PnlfkmaO2xlTuXlP1dcBWoi1KKV4xESrUQMcuCvDxTe3KxMlHDQ0YnZNL7V2wlAZsRUXDqxy17+19kjNNgJ8tKiNi9nbX0arsxssfW5KLVRk3gIWXQhO/sa9IdwOwtRIWQ+Czvr8k6g0vqhK1qCKnBa21SsfyOPRZ3inyaqhBHX4d53FusZYF8Rens1Lze3RVi55KR3Lc+67eRpw3jFknPrH4MIVdUXk4KeLifgnSYKcwbrHAvBICjDLxSUHfal8ycf5BqE6Suq7q6CRJtxENIwYC1e/PcXHOgXqOipKDXVxELJwvwmO5FdzZRQlCeeLMWKdox+V2da2oAI/iBLsX5jriPUUQpT+aBdq/QSkMf33pCsOpcbE8jubDmuBv1pyR/PgytgCgER2lM7Gv5yP2FjRJudYQ76XWAQ1hAhFzm8lXTsGwplvWIcRYH+pEgWgSf66nuSQrKkvZGCDmQRbFvI2uhXfCufeTf1z7Ys56zeDMfG3bCjLaFE0bZ7LqWmMoOoaOPLouROzPFMQzX652tfOsU5CCb/T27sAvMm78PA3VSAEFdxBOr/ttKGM2u6pxLpHvXkQjmU2XCRvS9LTtf/kb8Cl4JBVySZPAsaOM26jIcJWBhIXsRzmCeR6oB3/gUIZGaDRF4c7xJIGORZDLsLF9CDS15MUmYjR5Ey1hIislzcNwEfkPEKAWUKMW6F9wTRTVbACa5FSUgQ1qlsVpZVvwA2XiHbzrADqlSpUkuBupE6j7s8vh6+3HeO1S3bGtJeFjmIR3U7J+3F1tTDfIaxGsvoNAcJDXYI+DaxT40GWq/Mf8EQpmTWC2lJIIv2bgabBlQm2/E2DShWiQgA1/0YdHu3nwhyGTbD9wzvG+Dj+7LckRiRTc1mgO3ntzeREXo/Si2d57lATyyvRPjuCfxRIUw3TLgzbtEUtvXWK0VZ7PzswJL6/DLH+qgElT0UN5E+2Dlm4h0Lx/JmTrfyHQfPi5je/h3kAtALgJ2VWddEniDE2JWR9we7yXKOQ95yQwyV9xime/GiujFCVN2rDNRuuXHtgJJ9kAxec1cMJrwraOH9xVv3oJ7vbPUYHFmOMOIT4uc6khDPGhiv4OGQQ4k1x/wHaYz3SUmrnSGcAl4rtzi8EABvxTkGrC3q0mazP+wR2n9pFKXWarcpfhYHrKkNdbRh9+NwXBtA2gW8tp8Bzq9m1W1ce/mA0ZH1kRx1CTfMkuzwVpu7xz/vRaAdPZ8/O4JcOKm3WLaiBLZqQyoAImFjGetY0GEOxxkMsLCHtUDF1CNDaM2EyY+Lkp/hsZ26QuVY3kidbj44jGRDm+69laRF+f4gY8cUMn+UBnomGO/Rnzc2DhSXwRFdELK+UtPwMbmLTXYXw2vypdDB4vuQyrPZZiGCVu7tVEXNJ7iLQDPJ5NVm+tTKtCeSqs/XvoxgCriAiPxC2MhCresIyNJ85CNkwRIR4LEv/vtLAKOJzXEti/KVILF6Cl9tY3qojZprwK2+2iVg+D0szJH6GUHQ7Zwm+PfkHyXMshOpj67avQFA3xwmkvELG+aqHMQH43xhN9Pky2hsY9+uY7SfgH8FVjAQhnadzIeZNPbathNN5dlHEXiQLK2E4NE1JNEK9BkyzPPo7GAMcFti4+5lAivwGOXL1paV3NEpXvkZthVYMvjVbRSncUPijmoDLuHQGKaflBrwZuUuW4cZIJ4DOfWbM/70E98YtsbKgcQ7XPXkVDQMpFYJXCSphHdXYYzZlSHHjTEzJIE7Ecw+EjTt5Iw9OKqpXdQDoseWoygnh/gh0WlHCxlii0TNgwZ79bb5AiLfzFsgY9ANG3NaIxFLLSqDBYYt1P5mX3y1dgz8WHFKJ1gQQgR/bjQxzjtSS1WkvGQnZJTM0g34VtnknShr0f+U0vHCsH34aoQAxT/F8mvYUkXPMW+oW7wlbJkOAi7DMhDA31dORUlHuEZ1F6lYft3WHbsTdhBJMgUFYHnW1/7L8b3iSZrIcaMuDQIQ495DiWe69Aq8UHNX79Ld8Rp/AZP+WcRh566N6y/sq2/TaFuSypDiMc/iaHgWlFTzUbPqoN9LGBGrALAtlWgZAEgFrIhEwgYc4KHkDj1CHW8X3h7pkzKvlxaZQ9ke88s2JbBv8QBfzR4wULnGEdDPwXR7k/LFCKJ5N3Cj6Eny+/ydX24zbCXCE3On9CWg5uv+whJfvL/mCnY2GsWC41MqG7hrQhmWHPPDDqd6yfUnqTqNx3e0gI9yq/hi1/J28U+D4AK89GuDd40lTR7Nc9SM9ZhhczR6o1m+4jVY0oqQf0L3d4QaMgqXnSyA2NT/v99xpu6+dAf7cemWy336iSQMp7ZrQWTc7Pg/dp11Zh2WdmANXalJy7/WUt7PtnXk+PaTp7wuCBJUGmretKwqikXeLwrMSkgtwbr0VyDWNmPQJzLCwIEz9pB/S3ZXUBqx85Pw0V+hhUlk1Cy45Nwxdjdv+CnzNkfE7GRwpJFEFfezQDBNplJiUeck/c5l93TUF5Ijev0J8BhSOTWax9BNTKVKd7TpGYB7o2HSxr+pxgNL1wG+EveYaLJ0eCZcSaP4QfLPiNFi+uXMii8/7w0hQN3J2/K+45rgarhq4f6bi4Xx0834dnnb1z4m/gfU0VbNk9JH2t+QTQfRtj5lsk1KBBc/egJhoMut3D/aY/3KJrAd3jjZGd8ePL0ETU6pqug+yaFFjfSTFGnMZms0Wi7CwEJgfIlshFKNPN8kTXjdv1gBXegb9k2ygkEg6AYKoWknyTJzYiUXkd23M+4I71qmUMJGTbaT6bVcCuR9H2Pitxk/vCUEzAK1Qj2RNNn+KZiW1jpVT+M6CH7V0Q8UvUh8n6vC//PXtyF+xVLsLvSOLCxaEBRJPobeQh3b9BiIeP0jZbA8/K70pfLqb/NbJXyotyQNO9MXls1SE7WPdvi18EmQ6PUQCSIVEbdWmRI8eVbPw7rR6fFTKSi8zpBFhCvvATjZ+Du3qi9OnrrPmUqwV6ecHHo+pJ6y+2JPZS1KmoYCgPPsYQar2SfMGX5XQhsiBbNLJ5BMCZ9FqZ7ynp0dRradDH+MFgDVrc+40MjyxaebeUi3ASoqAJ47HZa4PtLe/v1G+kFYttyK0huYRZGv64KnXZUmBOUc3QRU3ttc/xvPtlzkLfvtb6WLUU4pfzRtbqgqKdDPV3ir0Vqv3yYVTnr8onX+zEusU+fSrL+kfbecmlkMH2TrV4mcpjPy1jjOGfSAXi77Iy0yjkIzMFFBcyMt1aK6WsYwaVU+GVWNNHJHg4iQQ5G2ONQnBYyrZKHz8tzRsqjJ4ONgZBRU7pWy/bGkBLTp3Ulv7H21/Wbj1EmFn0mbHp6Zy/r9DvPL+0yZNyHyL/+OUtArAFx3JxneC2YgjYeD7z5VqgB+3pRjZlCHKVWywE0VtWqlllEhI1yc5pPuZqMAH2YzWVD1I7Gpe+HVlJNmDP16sOoZxeKyv0LrfgavL1XW3KdFivyaKcHTMTCdcG8+lo4BNLuLpZvN9exkX5p2+V0+/OctaYUOjUxZi/htmbp42yKES9DxWaKj6p+ljc6xBweNqKYyHLpjF0fGXksZbIHFAayTk7XhxyUvSUfZmrfGWqIOwk837ji0muh6b0vNMHDaUL0YSdZtA+gw3gjyZIMPEx9N5DeRoAo6FVMw3MbJlDrlVFtkDzw4t0LdHULJXV5HmRCVw1YXP7SBEb8Pir1N+ObUS8ifY1oMdPG4sZ+pxNjpfrMxFAuVxWM1CiO6E50vjQm+VjFiaBNnW1ZuVBs0DTEgfm4DlA/PpZ4Zq1X1XAvq7emIhtYphIog4a3DYnDsQgCI7lr2NafeOBx6CNP78FMZX6oHeyUl/EVdNEFsSE1lvUjYPsXatxFFIc5eqcgWsUoIuO7bMS+Pl4GGS82T03a0+EcdHcCqU3Tv1AV6xhjS+i/GETVFHe8NfPq8XvgNXPSxPK7yReJlputZGMZbOjGgB9sLFK5RDbzRAGR7LkN71FBIxmJiyIEB4S/W4VZbbcVySRdg7ydFXAtWPwpMrIL5b/txZ5bkhPYkIi80BEXID0TF+xd1wm9ym8IlGBKSxXwMd2/5YbVD+YoUK1aQhPpUPjnT5F+zg84CvUAg2PfxpGad5lZpI1IxlptLq8YdlgNEGSRJCq0N54RAxCHeObvA8r9EDvDAAAD4craB3Eb8a0hc9zu3+zQOOjlvzF2g+oeBnRB2KBRK4Grz+IfQPYSdYuYIqNlItOZ5cAedVEcDeNCoCY1Z27em8P1HY9y/L7p+TIjOQ7CEXKRkCJVqGm3FMuoLrOgoC6pZ1NBGJdTaIGqntWYpj+mAmd7fkRb7bWSAEIFdF2cVOfw228oR9/VE8w5EeOJULvlqCsNe06EFsj46+iHgyRzUKzZK7YfyfD8a5kyQPuaii749SFtdn37Rvs0Dlx/GPzBD0aCr4acoSXTxbujO40INAWuAitJF5/Sg019H+ABnxPM/j0e4RYerP394ir84ueJWxfv44sy0/DaEQUL+jwCCAjtEuI58TX3YvzxG4rea8+n9l7+gRMjuTwZ+K5Dsbubg8Du96yEOxYsjRUUVembk9og//rBOkxBB6CNKsq26erWcM5kCwWhyeo+KLSSj2jKBN2GoSRqK3qUBn4/LvCJaWoygFqu2hW0DVCmczGwioA3dP1ToyjHvza2683awjYccFVU0u41hoR6WDvWPtRKpqTmU4tqhLa56Co7DWofUUhzh9bu9HCcn3eBU1qNDEF3gothhzhJYsmhkURxrJpKwg2UTM4aLoKGy++ZikCa9LnsHz7gTwiO5BGQyjdVKHxp3LIH47QpgU9wQU24NP0VgzZm5b0pmSDM0jm85cAKYDXULOKp+TrYXr1NYL3R5ArdDkBryIUXnxNF5lHxDBQ6vdLXpFgWbzxnmK512CeSqoneXYnvkD66ZPqRxJ2DQpqbZU5BWQxD1HARyqMii0OVmnfokV0TVDHgHGVN0DTE2oJkubnqee9MVQedRNUpDTPaRBCJt/kozT1kpv/e+p/DVjvLwJ6VGpkPAyxMMZ01LOqUWTDvge8ffsRGnhnRFXbHw0UxZlPHchYRech2EC4X3CGbgttdvrb5EY7SVshJjFTrVaFMugPOl5yxsR5479PKOKepPlg6/pDdRjiu2SMO9XO+CObwIsVsXYv/+lGrwXJt2efiM49FWAV6EbcXnGu+w57UvkCxeixTIWj8dQQPNSewRSSLf0XDVhTrmb5HnXK3x1MxJIQ6CnHwJfpVIdNWoGeM+rldfubVUeeTAB9DqJ7DLE7DAFu54OF9MWfPKuQ8kLOpXqiOpzJ+itSvdU4eoiXxLYHX68zyY17N41Z1fbZc0zzSlLnvg4avlOqD0UlTep3ltkX8FbPBzgNtWvcOJ69rSdKw5FlmHXQG4FBGQH7999L720/ZZawQ5/PlJDSS65Vq26rR2XdTj26C9bylhwfqKla7ekDS6xowcwfJGzzNMLNRr7kh2OnHPGn8G4/CKJmoF02J9oMESTy/jtmKl92pIFDfqqvZCs6neQvm3Cd2MXZ/KttwRNoOR3b3LLVDjMC309R2Yhl5tuaZc33hHnNIDJY2yjWX17QFKQTPufeq7913Z5xVwlnTgq/jOVSll9Zp7itPoEWXc7vy5SsFCpVr7XR2XNivvBYpkHVbaLSSN42viKJTAoCrDXCCi0Y5B8EyT1oviZROywfB7EO6aAE7TebekkpqdCqkadB1ChrN4lElxCpaDQo0maXV1Js/d9AvnvHcM/JsxQ3CdvBJROyABFXoffJhHjUXP2ofyvsthuaabBVFPyEBHFgBrl+cB3IDFZkgMttlBpk+bE7HURLWLH+ANT83QR91V+QzGlXFT0PczZddvDuXg+KFIKduBkMB80c31WIY5NJZ0/QL5jqykOZ06ViQqNLx5r0QgkrBY8uhpXfqamyVj8RRCnvv+C2Q6iIrYO9Er+dJ+3Y9WQqXyY4Kf8kXABMskBrcvIkVCfaPVTE/tsu+SkHBOF/NOzbXM4OGipS6AkUSac1RxXbDhMhTENPh11QJf6w+0I548y1weTcWX3vnQtXShdqrX+g7KJII1SrYvfpKi/9w2pv/Dy/EyAdFjiOAG+kqQrmv267fSuiCgS4uZ1jBa43HgFWBEIXI3BzRNIiPhkzbGmTnoMCVUAfDBtT+2AfPIobj/ZvFKy88PI1fyYKw4DhF2JijYkBH0nhoeXnirpp8bjdB60wFDKQuc1ofGoeYi1eVp6UmCUboe/DRMTuC5PD6QNNduoFlbUFfZat2YT6k+jH3x5RjyVZbC/04gVsXPpFhaq2ENW5VPXdP3Bu+EEp9VvwxQ1WuOpGdtff7U8JciHec9ba/vJS6VDigMfQgHHp4JIgQR6hLMNpgrgDDA+ORw2s1UNpxcsJN2sOjv0kHS1txRTFswIRkEgSl0XpvcmvrujX79A/b8wabQLHWrblh8Rf7aXn3sb3dgQfqWiDpx19iIp4pWPjdKuMu903jJU89nZ9/NqX7vjfu0sqaK4nRmOf6sEgXTZmw/7Jbe/CQm1MlpnXhiI5/UQgqh7TiLd7+q3nq5dBS9uoFTkEtaAZBpvPf/vILooAMVShb+yBAWwH5c47hCA9d3rOBKhjGxlrzxF4fYaVFK0TZ1/ReF1lahj2rU59rAdRXExEojD3a0OSnwPLh18I9EhkGzE1AMGO6NGW3K30wxcSDw7Qvn+ICF70NQiGihcbNdZRaFeuiflPg7AxRqKq93zNuTxYs8NvZZ/jm9Xy+Y/s4Xd1xbiUnOqL/AxUsNtcafpxvaXl9qrflsHyUDCo40vvK2oRaWIsdj/az29GCQ+UgiUXm0glRbuaBSepO+cRtOer+IEwxwHo+M1NJe4FZBMsiXw9KzEl2/723X3VKabOW0d689WW7qynfP9J7pPdMLTZ9q67WwbK8O/gkRjA1XGI4bT66ypKO58t0wdJph9ZuJydRfChWUc4oCa7J185xPqHK+Z+D6ZRZ3BdX/yEdmZOfQEO5yl7Z5ptv4Yqu3YtXqZi0tXvHZNCVd2URLcKMxSG3P9YKmCg8XTvg3RXxbEhNkV52Bj+2O9+tfOFQZpMcjPDrR1h2u8Ckr5xQJJWot0ZYrkxikiXo/h4l+8JUdzG4CNWHFsV5O4MLX3wsEajpfMGSdY+7bXdegzrG7rrGD7RWyXFuW4AnbONGXZOQmi811cAKpHnzozttlv/i9pcbIblp4tM6N3LvdQZMfP0KE91kyBFY0SdeYlLoJEopt5KxnH4AB3mRZ1gA9ngE1v2CGatW0Ac3FO6v1C82httq0AY001yi4mKEbkDoaNktk+59iOYlqZB2WMEkLeqhMGpfrQEUaQkNNN6f7p3gJy5YbmDcvSSkAR4cmqo7fcmpktEnAiU7gWtptoSxmPi6fXTLnEwy8Gh5VBvzCF5EbMt7WocQktuWLTWxb35LgRnLbetcuN/v4xuRIu/0hfHw/baZw7n1sq/N8nOc0bms4V0zVbluPOtbHdfPGmRVnjsJ5XYabI4+2vblaa/DGwmXdi5Ge1nBdOSSLuPFfQrA2uvvdH7s+eQ3HMNuZ6rL1FNf0Dwkkq6PqaStbBkij9U5lUO030kmAUhifLE1zpWsomrihq5Gc4kTKWL4AvNOkqEPYTK2GSFlLJGIxmDaGCPIUoiawXGvSfrRK7Vpp6u3EAtzPr3Zv2DmyFyaUs/K0Ypf/F7ycnK96J2edqJKm5GipJlAP1Zick+6110BMfA2yt1wNcBDDVBA+7o5l5WEH8Di4mDABZylNiwGX+DiZJk1CqzTdIc35fU81L1bWJvOrSFWAPO311PFM3+aKeerhqqMf31X5B3GqeRWCPm2fccwhPwcLOeIoTkK0NaFVeziq2hrCDmajF+9gK1b4w3ULeVrJfj9euYYouf5uZsipZH+CiAxE66R0yQT1cYxUPMahNVdnS8Jns/6eexSI6+/0KOkCQP9R4oROW2Y4neW667kq1Y7k4q3put8vfvtI+1kyYi29Ayo8NecCtko3AeO5roGJRBt6qmVjXMtU43+OslI7kEQbgNU6QydLeS9NnVWLw4AAy23tboFW1l1FLfCoCt4aFVOep+VUVlF6r7RSDxZMJPj3C8kETQG7E5XzQ2Sx4vaDVLwGVBikEc35svUTaGuPUeH27rBUHK9T0hGd9PLNtSdgrF2gbH1/qninvZ+9Y8wHbkH4uHnMOcwr0mJbSDjwL64z3Zl0b/cA1vBMnYXpvABHKkG8vXuje2xUdmLgFjIHXmVHomR04EoKh1kXrpUyLFSMgVYsYLarZFljJob4RCp6owa2iPydLb03K0JJ1MwzE0LcH1jW2fUew2RgWmR5owWrn333YdulWfYmVyXjOXbvNIBu4eODzTWlUlUNMaEOOeWucio13b7HyajFdjmlLZp8vzZdbcF7byA0nlPYlenVSBzKe7hRj8ftQltJo/mE3QM9R4SR5vfekWy8eoZjLIUoAdWTOLQmw6KCts1rjGuEgr4kmiLjCqJ5r+Tmg+40eDq63TLsXl2s0wUNVWb+kH5Zpkx4SX2Fgv/mdegVXZZJmPE3phKxoUcfDm9hQ5Rp+SFOmrU85ex9u8caGdoUUd1I19yNBEkArvkpZ0kxDFSZJUuNOVPqFD79RDUCHfn8jq4ZUTLgJXKyScZQPtsP1s7puXkBN5CgBD2osIeNWeafuRRGjXmjCbqItIMFxq8nNElwByEAyBeYaPcwaPu1TA8eRYE7vYFTB7svmJWx+B+loID8BMYGW6KgSd4K8NnxVejcjEeW1yGgK4p/YQUJxU4IJaD5h1OxVIRfO7g9y5ev40+e3nkJbA9nJgeWv7FYYnMWlu0t37Ma9TnfSxCRYen0YRLFGEiy5sjg7o0W4VqGcyS5P87S7/xMWenqA9jOXWz9qVpaINsSXGoSDPeTDZgBCF26l6AIwsoVbkpojkKBlZ/YTzVGXnNuZUSwy8dB5+DN/g2oN8RpfHgI3fcpvgGk9wgrGuQfT4DeNHrfku8fDxp7RpOqWULVIhvkx6IB4mefrYYlqEQ5HUTe3xV3v2WwRdVLolBTYSa5vPvoy/rty9QxWRDbSIiiD56W/yLwzC19FlOTbStlF1GJyGlPLKwFrNNj21GtU3v+g/bXQyRkop6VHgudyAbhJvTl3thuBrbYaYFdwa29bhwqDuOocTjTbIftTw+dW/fafTZOPcWUc9pgLfcar1WkQDq7ueDog9H3eD+3Rv792yBJwsOOUzkvcmpXFGFxkZnWFDWUtyx27WvDOTiUIULB2mzdPoV6uqRU4dpoyXJJkYx3bhmN4J1bRyO4Z1G0ZgZy4RGbvvFBL5J7AL43YPJX07YCDHxiHoihkhptCscgz5JPNz4/n5WDaghvIMEwzMLWrcFbptCHA/uSW6Y4gRAFsZU8EjjjwiXtvwwNnBrUGHr0gQJTEowEB2ADbthui/wJ7mN0mwfw4zUKM3tRaHiZ2fdNtFQaFV3SnpWNXVG9j0Jue2CnOGqtCDCXQuzRxz3vmM2+KzW0BYZOtfx48s/AcVah+nbB+ecFq6MGEHfR17SZFkh3tsp0llcqZX81gWQomK89QbXZmFvpqpJSkLiGQjJ2SRSB+Djc1BQBFrjKC59owmxgPSfDlGD7caPSJeOv3O18nsHmt3FGQwVSEWgH6lY3GNl/ilk7TBfOU8tAUFVD/Z+4mwZsz85S1dx3c9dzZFL0J3Bqz688gzK6JG7+wlB6gSkyWtUS92WbFmeKpSwtTVNzo9Sw2v9Us7B5si+kDd+TFk+ehLKUe6XqxKS6xqlaRFBtolp1o1/NYlBFLK+BPDT+NDg9GAZ4U2zL+Hj0kXYeX4PEZ+E0iATJLBJ4wkp692QW4UHEBRPy4AkD0NQBTMUjmryfJUgVMUOvnKXmJQSCzR9HLQNaEPdLbLwV7EtB4cSHYafGrvjuh/fxLVA9QYalVeqsHaPd8xQzrAcIjinBSg68tUMPFbnjgZAE2B44ZjG9OwQZQIJhiVCf1gZAVMc6ipyLc1u8/GKZ0Np1cPpgi+0YeKldEEr4m14YArdhotzRKUM8efaWFMpzXNjScN00wEeAvutpTlfDDthvB23yJslcyKsjRQb7Mh6JCHIoON6/AmO8yZsPcVpCpi7KGZJXmeuihEysmj9+SFEUGeqm9YNlKtxwPtMtITr/66+mBFxDRDIzGm1WIMWb2qewSqRZvjqgm+4iQrt5M09HhvZB4cRh9Bgtt0+yg35TXm6cGjAtuKjLcPkkWnEMfgT90G9KnLaYSqhgkgHhFFx59PjhWlJiDK6NN6KL8wwQ3iKa0oGwR6AVFEYk+S6F1OKmZa5yrO4ztA+Jqaj3vXx1YigeFXG4YxLEll0Ico5NjzRUD5Y2NJfobU1LRC1h0KSNOICQAmKDmb7dMIhi+/1L0wIyBACJFd3kBMJcJCTIEq81xcVNhbo8YlZyZvMS6/FgK5UxjNjA/k+vczF/H5vZlbuHy/7yudaV3f6rjE7CKO6Z9A8SjtopgvTAz5JDvSIS3csjj4gcZFcyeL/SuGWTMolsHYbC+QeJ0O905ADiGNxoHH6cQs43c+hOcEB5XyDjmCstYexvsbHDG4177kwwcgL6tqOEo6y99ph3h5ixMxQNl4LI4TmgciJgACv3m/lZnGW8pH2jh3y0i6Xndk/5/lMGPMSyvsoyPHr6FvQzN188lsbQgqiJEcr77GkU7LKD4vsoUahNkwAD7y07Cg4KAh3HaWtw9MUu1z8vOGw/zfHL88iagGwVmHxriOR6BqcRHEAF/b2r+3q2t1YrFg0OkjDtglpHgI5/W9G3d4gE19WJzaHhsKLL2LCuTTK3mXf6qYH0dnk4vPluypL3v3PHisiPH6vAUWCAwGOCixzKWIQA29NLqQXbNy+P6c88vYleW37TErE+QoHSlTMra/8q+c88yvEWkUae6RYKbHns8koGVzJQoMxj1yP+JXJr3qPT483jPQkWH9FL29F0xVeKA2PKNQSdUElWu1gfY/xJpnN2sfpf5pJ13K3BADt7QmwvmzcxJ24+ilYw7u6PBi/j4NNJdOOnKz34VFe0+SOvI7u9oAWno9j5/zfP79ujH2vrqStY4wF/M4BTWBaQX1njGv3Wx/atTjuh9/ndKyLQzbOPJhQ2PHSF6yNv4VtlXauGtDeUluag7OkOd5kuTxHa/ipCzsCueQav/ZDzjK3wCsNGpEPFE/GcBm4rHEzv0gMDeEzJb3veE8J5pWJQ6JYyCbo82rLTp3Fd2yBb9hvXHeYYlzNPVBT+l9/hUI6Zi1mot+Ws7kA0KDUvMVK3Xw2X+hxjvJlSiqfLAX/yNeZzsTt8FSIjHGgla/lmJdl3GrBsG+m/v7KVup7OXjn3P1wZ71/Kae864b3tvLEetvsN2ivnvNpo5ZI8Nqq3RTChYdbkib5PZN035x3j+3aAyZ1xkymd5hXhhrR20Xfc8Oxpgbit/ZjSGX5YcuNEK8dE3i2+UK6R+eBMh+qunEvFca1XjkVQ7moGyGluhmlB13OzdNM6IBHUCBL9i9eLQLxHeWtx/8XCUDHEtQbTE4ZJdS2zbBP/wRqAAw67Ia617BqVN+Te6z1x7GovuWaBKDy+qOlSiV/iDA5PjO8QtHcLweLNnrPW+6ER8UR5Jjmzske6YLizciwLNqszUCzkDHasnl4Exsys9r7gg9EZlTLQ5g9DesBBNu1v1vuhuVww7EWiiE7d0AxzqMRwFEo2ZBl+GVNKpwOzg27Xuz4j/9UQ/g2MFXP1bf7j9krVEF1Iyj568SxA4Qubcpi9fZGl6K0PZbCzPzwkXdb8aA5bVI6ch21san/9zIB7zPh+5yrjzJTx+TX+rBw8ybJVvgW1vxVEChaR7YjJ5+jLBBRepazLQPheoIS8K69EKUVKtpRKPMNdL3xRUuLgYj+DPucLTfDdrmgvVvrLPEX/SthoEEBEFdsrv2Q/GzDIKZJUyXQZlqf6AQwiWVqpkSUJn4ETsKmQD3ub7Qe1ronJwKwjKgiZUDDzXulJ7O57wuGFuxs6KrlTQBDXmk3HVkjQZD5xdBhO/AKTnc7PWeXwWrUBMpESibgHJOcLafqsOEMtig8MFqkNTymHCNJlBnLKAYJcjjhy3Ab9/wc4aYLVjlTdUUynO4ikmHpS/oP1JG6Yanno+sGWGHc79G7H3FJtD0ibBy287pcGOsQOesRY/LBy38s/m/SSm6QGpLZgd5+Cm/N2SGMIh3LKdIaG/MR5bOkg90lwyqviu+Lgt49mgUUON3r4s1IyRVoUCEF8OOEFWl7qcEOH1QyjqlGUWuoAwPYXYblyFXpz878B31cF72Ee5b1VitUryssAjaOFyR6pXyiEAlKUxQr7jziSaMFGxwFoH1Ta+YmbSeQ77IrqgTqGa3e3Jc5/R/a2gMIIWbej2WLgX9rzsouWU6yb3Cxl+sIIivILNimrPO0f5RTcLigy1P7ISSsraEarGCGHRrLd5BNzQ/ogylTBNfjAhRj1N/82h6b+82IsAiwN5S8QGN2SKsxGaq5aI6J2A7VkYWE3HAwVki6yhsakkPhbjcs+mS7HgtjGca2pCUO2rrvmgwa23VEjODU8PqEe7sJtKu970ZuYHwNzmGQD/cMl7B2BQPmwgEPsUdLS+kEM+jHbQVaCWoMiEHP5wDeRFN32VPxZx26+LPUSlgKNXmmMhlcyKyKxEwswbjoA7haK5BnlymvSwg3qaX5pouNsUrQTqRuOvDc13rJhlfJSDpY4mJEPM7Tcy8hTgQybvhVdX4ivuBv+r593Bg3u06i5vVFC7xMeDIzcJUrbHFGfj9TxkuP/fcuRF4cdiFATGgD+ngKwXX2mnepsyDAYySqkhUPIXOLQ3c1F6uJyw6EkjOJucXwNy9BzerznqcR6U0M0BAkfa59c5OfpIq7AJy2VoWoYoSFH6YV8Ki8doQjfNQQF7tYif3//6+GKxRkFovCG40Q6sA8Reom+W8lpE6LhWLQmfDY87PGY5S+2zFPu3eAVu5M1CX9yWeLyjS3bp4LikGH9QIBIn6ATFEwplaAAv/lGH0j+t+pV85cD1t3qT8aKnExGlqiY5aTeZyThlkqt2cRIqbfS7maX9ZuT0BSF6ZFketqkRWHD6qv10zvamf6vBz7m9zKc3/Z4yPol4oMKv0kMKwIHjvPwIQAxP3FB5XeLtZTzSKqTbIO8tAOC/TtIyl6TwVteEDI9xS2MaO19Kt33P+53T/CWYW5LhxSyezG2v4xLxtQ6HbeJHFyGTJXufj0XagFg2DnI7dY0S1AYPOCA77p7hVxPH3ReblKulIE8blVYYrWWnGgUfUiyA+wYX5iPkH9o4Zv+ViQCXYlMt1h3TJLmlP3Eeecd8mNwmZVNMQjzSPTPM/qu/Nn2/PXG1cCeyKJUjdc9oZUCW9ldW8D8oyZepNRnxV2yZQK57q32/l8g6TtQJMAtqVTl1fPPEzeyIJLsNhjp+yFB1vXXgPOnr0f7dR2V78BkXyc4MKw2y9UOoHFS6Ca7d9MJpzkAU/npWqNh4xuB1GwufUDMS6XYVeGmv7wSdqdbSI3i76Fufn2ZYdMAoGpp58awleDOlTBQ0VrRHPAHYCC8uRpHU573dP+6JK6yy5WRLglasLfPl7WxMyCrv4zp/g4HIlFM/NJrjF9vPiiWtLNjI/EOWM1H10asFx37xVzVOkm3mlotvD0av7ByWBdHCXQP9xRzLLkS8h46qrk2Y64Fv4cHklmWRgmDjx0lnBgClID42NHEk/g6aHx4JMBADBVIPnaksiqSDi4fOvLZNwLqgPOho4ADQToIfegIMhRNCaaPT2SzLYYKVh9XpLEmlhJgH1fksWeUUgl8jx2FHEqmg8DHe5JYMm2sA8PHjhRWzHPVGQ3Ajgw2DB2V5gM8RoISkgeBZyo3q3gZPQdbc0VcEQ1jGJja5SUru7ddxmUPG7UHLWX9soaAbd0lpCKmBGH0ZWbX1rAmQ5rpKFw7pIEPofLmuHeyx7zv826wCR8ri/G2IF++sK4a+RAxa9l2tu0xdrK9WUeh52gt5L+Ch1MlvVN+Oa64l6/gK6VLktoZdR5m7G5xcJI4rHjH+L+gsOaDbqdKvaZ3KsVfYojy8Vp/bNgWUUNWSfsoXgKijkbVrT8yqudRt8qBezF83N2/vR6APOKonCGH635op2TS4ng2XtX7+1wv1YI89O+KIo/sabyfp/6CSxhyYS61f1G0v9wirYaFvCmFnwvJNuwJxlIZlNdmlxlcOMk+pi9L3cpzis6VfACDadiHsMfyv2JL5G9C+wT6A9g1nTwis3NHw547j59bbpleSUQwv7fgnPdvPmELv70s+3Tlk9jcTzY/8c0mPd68B/Id9lrNxoZyaKUsQ/iLg6m3jAT543E0uc9i0Pwjd26XsU780SBZTBWlMzZ6K1qW+OiC+huiUM4/Uwh5ws0ER4K1w/Xmrk0k3zOUgLuiFReoeRQbVweEs/as1ny6YNjPbHfQ1ofzi6tjc6NgF1+GmWDXfFREpgg+g5Ppkbg66Hp/oA97n10TXgx5hrOJNCPvHlwd7Ffx6sNDbkJgYWhIGbwMDHtxdRDn2STQW8NgYTp5Y/DbZAvW3IooijJzm70imIBuCACEJU4Ns/mPbmRHP69hdlx/7lXznWZBxKAfXve5DAg8lWZmsNJNqnjZKnt4voyuBqhzYDPfM5E/pRmhITIc/iJyJb3kyaCSQYbAptBHiPev9jhyaUmvBQsJhXEdVj9I3yxpCSmq0Yhgrb04nn4UoYNBs56xAXoJxVtlsVrGAB4me/WLp+og9X3SjwdU/dcbCmqQnK3z/rR0n46oiV+HzCWinLzSKhizX2zj7/7yXePdqPhkNTLj68IXn5UBwYmhrGtCJsrV/It8KRuRXzeS3lFwD2EEshNfK7ow6iBjki+72afW9tUjvZ579pn2Z5BGw0kNv3MUpDm2mIuznI+uZ9s3P9GXHLKb6pgb5laiezWzYLMLzzLb6v56DqzaJ0FbfY2uii7iBU1DZcHOo2wB7RdGTAejZaEfm79miwjFFOe+eoT1deri1oGhNjOIWaYGq5RwMHRWnxZXb5OB5QJI2t+VjhGV5WqdhW53q7vjYb/bv1amr5rhnq2DPpxjQmAGxCHg7c3UeeufHM0Wc6Y+M9VKdbEpWnfkXC8MPaYJ3e+rRsZsc1t8balv/SxUuk5OH7vlT0tcX11fA2AGrZqV87m2UhC5Ngcq2i1UleWauOm/uZ8NgWWoshFyi+/9oIrLeka/fJZ8jrrFt0pz8y2lqG/IGV0e35+K5tA7/Xd2Azav+2VSQNggMLYirJhL1I1DH9U41HOQ4TYKhJFrBWoy7hmCaph0H2/L7QwgkwgtEufAMHt5WGeYS2ZomXx5qML55ir2q41uz30Sfxq2Nx2Gqe3jADoAklyRJU2qvb36Jbktfjt2ZbQ5vfEqqCajlh70LtjgQOQeOUc3qsNOeWYL0BHYLYD+2Rf6RZX8bVwVW4TyRQSVFWillsWwmu3RIPfoPYaecq8QR+kPKhYU9tAWIvPSzlSqGLwX9cOPAN8J5su62uic37pgN4wDEeSikpyfE0wypu71e6XmZRXFHg3GXknFyfNJU+i/qnnQ88ScSW429NiLmCVmwW+T7nAqdymVrVBzdt/yGIaAXWURKzE07zte700Pem5O2pfb8BZ9LQNouIyru4LoD/T0fuY3l8oZVm0xS/Dq8soPszKJl1WEwb17inMWcWogYQFnjW4K4u3WiHopuJplE+Jv+nT+EG9bES13CINxy6ACxPRDoHq1duDdxF0Rrm0RaAYs/xZg9jYQGsFDi9tl+c6u1Ir1NGM0lclla1QYnExtAQave7KS8d6zCoZGTEkyMhkVEgSzlJ+psFUxq9FSlqW6mtxjzHFDiE4yIPSMfcYJTwZHOWS1K7NGQFwZjb3ApuiUYEgQpuhEuwApoujk7cLuFRzJxNhwyZ4l3lTHK8ZzGHHC56TEDT3dETeFEjhVRo4ocE/aF7S7cFe/hMdwfaxaO6hJD/HLwOMXJfsMC8V5E2tMxOlspVWUwr3B5uc0YKpLIw9jf/HCo3gKNaLxS5kTQCDDBEGrAwGnqUzu6jVIMSyzLlyn3JMepEaePCCYo7h4kJmrajfWx7+HIUJ7ZPnhD0jiJcjXr9RTwrAV9XdtPrlZN6JKl3NlVBQ1U8jAXdiec53BkJezqKHzGrQwHK8+q/D7W1lvQ/iO0cM50zy5LfMqMl5xs4b63sTREMIEtvdQUlmvEU1KpRutsfaJdQKveZCnLGzFTIjobgmuE1Wqyr1lnimVD21daY8hbbjSf835fM2PCybURBPHsF67cqLN1Yt2xCdXWcWLgiyw6yCtJBVi8sl2mZztZSVJmpaUz+8fFvAqUPHD4JKiWsrUoGFkcYCRW72eHvJKEqYGtUB5MW90s2X2I03MjDNjmjRk15ini4tIJo7yClofSp6Dz7F3faQ451qxf9pFnGXGdXex/u5MexjdfuUYqS1rxoQape8BqMG+Ck+LR2OiuTIwWrxDx6rptMz+ja1K6SV7YX9rxdlU8rF1PbNAyp/m2Da4QI3qQlrORLQTlWEtBLSjyzNejFZ8NzYC/cfm1Gy5DMXkFQXx/4gUXTeBX12w9sBtVD4Gyf+2viQ9BsjZxq2uTel/LGYZpEJU5OcA4rPc7C4DgATgVu+2UdxJpoYLwHdquTUk1wMHYEoDDyLUEAKYUs+97FowAXwnzNgomxa+AQVx5qao9NgE+EGUqWFAi1KAKd18y67HK/B80cWXjHrkAnynl1859BgGKOjhR1Y9moEnp5lnadS4BliQzrrpoN7Nf8wp5lg2vev/KKjm2nSF1iV/b04yy9Kq3fTHghJOxFA7su9LaeJJPjVKgE8QYCCbFi8AP0llVageasGTks/+Y26nh8ZAQQEHBiRqOCMsCDKUUAm1gQXZbIuiBd3AnDTW5NPCb6Agjz0jWi0+AwoKOZRXjZiAOUksyaHFe8CUFFaE6pEf8KPBKOb/8qVcWqr/U1FpqPw/URMWkzFijgb4KJoQQkQg4Grb8pqQ5SkV1adtE4An9HFHSy9b37QnQueGdt1QSOxX+vgWO9qJSP1pn+7bniwBof/rw1laKGZ3Wr3yQx85xHvOdemEf494WBHTbaxRKjD36g3shn1+EE/559S44+vafVUB8Vk3yK3lO5fT8aeEi+WVXzA4LGDADCJPf4fhhdq+THd1zmg1qDlZC3RuIPnGb48RZPrnnhtnNaw7PIeTY20p7vDlQSXQOK43fBQIxFAjFWvMiGdVAk7k89SOUN+piQSBmuBPnP3piFBBYiWqoN4u0dO8AsQ5ctWlSg5XY22fvYoUn3Ou8Ds/86wNqRHsNDmgtFRghx1IOJifKMt73ygq7NMNNmlX47XpP0Wohk8OYFo9oP6uSPhu4BrK1D6oQY9t5SRz2yA87G4ihnSLutNnp3vcJLTMX0txTtsy4rQHPDcnsbmgY7zaNp/aa3Dn2491QIo9eT06v2/WFkqJ3e7Y7IMpy253LfF816y9qszD/cW2TlgmnwKHpxE8EnmF9HS1kVgDR+JqZNJeNsRTpg3XdQq9c55gJc7ldzwD9zuLMfyZ2piQrFso0f6j6yp1JEd49JdlGaPnSnHVOC3gYf4te/krUla/Xm64j9+SDzCWlrxxBiKHPDQkpTD4LBWpKuFkhaApYxU0B7QWp333LVDdVdg5xJx+rcnRFGhKNBUm6V5rzx+0IUJFf2Cil/YZIp4opyJK/t2EfCITrdOVUfHCkhGoSJkq7A1iciCDiBa2evJJEjeDx2CkcFP86PL4LiBbOGSnHJC9U/tnvQxqhj0KxJqSnSiD12Ra+mUJJsMDmg3Zie7IckSmf6nYmqFM9WHvE5osKtAaVIGzw72mka9ePhzk3vH9rUMixUz/wznx2Xdtu65niKRysGIQ5Ssvkw9CZzhQlDT58E/CnzXJGelsnqvlYXW/KpKs5z9UdClIip5nHIVtr5aWti13DH/DE53/IReffG9eCU8bvcd/KXZNXQBrfG5OKXKZvWGXEw3eppMcvEdfnNU+5eE4YpfG8WxxnxC5YStGIWnDe37Vdu3UvgfouGhElcviPSvxLnCeqrc7vQfGn/OM+dI09YTUHYZ9a1Sh3PZ/jy0Ja1kudSHkdxReAPTpqnn8+ijBHX1oPJ4DPVNnRRqeoDX3YePXBa7lqMY1FCkc+eQD2oH5EMF75X8SWcpXFq+ay9Jk3cLv4PNFe0meps4pIY6EVbkrf/gd3tdnbm/LNVKHiMn3rUmoEb1JvP3Aq0du/Kp3lS8zaT1L2n/rTkxymota+yVnHJ3Le9AgaHtf5c++b0vB+NltOmzPOhHsioR4LYDFeoh1Ndt1vsHVLm57lMSUGVuPyCmH9P6q2pA5xy/w6xC+vkgVfz0AKovDxfDVNdQnKf3PUnmQwozIaAWhFd8lM7cu/I2rEmvp/2R4TW5dnfKIl3dNlRKw1n8U67TqPVQ/CNJ/BOsGqrm5u9PD7r7dPR0KflzBX3c2qah6Uj/Zyqh2hr0cMvzqqmsrtu0pqq8v06qgTlubvgNGWwWblJ6T+MGJhBOBW4x3GHGliwSUHqgjKzswyL8muMP3jUD1Hx6qBmK4B0qLSytyykZOd5U3VnZKz+gPoe+tKl7TbUFypYnrbTqZKoABXLrm6zCtVl8NxPFAu58zeWO5N7FTn37vNjm07wfv1sQSlvp92nWT3WxnoUD5x/fcDTslEgZXPQjy6md+N4vEyJ6X6flb3BYKpWp+nBw0LDySJXM/WUQOnqe3gtS/uIoHy5YAQDVikwFzaotU+7r6shoHwTGvHUC1iHi825zcT4b2vCQtPnCCjf7OFSI2T1zEIKwhUZo6RHQk5SBO7MxPaX5unNV/Xh5EEX3mb4/fv4pehwfU7mnitbHOeiX4JzdLwS//32bSqm5SzbZVDJRybS+UeoQHCKT8XyAgiJPPNU+c5FdQeUJieuPunTRBj5et9oLAjcAvG0JKNW2IA9nRf48lehUiELIC3cnCzbGN4jLoIFRWcXCJyMmq2d+lLDHqbyHZq5/ra829HAc3Odz51ia/EZwfXtzF9Z40uml1l/Ro36VhL3b3cI81SZLxo/4kz748znZvt9/7fiw1znkvm4xl2aPlyA/bnhBkx+UmQYg7lqmu0aQ+c4zyOfToz7MvTc+9PT7fhV7MIbGQD3tDERG7IsuYyLkGIzGT7+WsTTLKMhJFrO9A/98HuM4pE+2AeQYNbeVclPIs0/MXTqlng7+HuwylapfVpXPbBQ+dRG2Z3Vc6psJfSy5/38uonAe8vcU0wGtzZ2Aq2frXNuMmiTUNKRV+/U+e0in1XQhI6DffkcasZXdy27Oo03wMQgAYuRTYgXEphzCkiPGdIo5MutYTZfa+UcWVwVFPntnHeoAudGOahp5OsGdYJFiYDQ9B7xhPxJjJWxjKx/hOO+9mMugpaPueaeTR9MwwhHTxmQ4+zOsQhK40vtHKq8kWgSgM4zs13Mh3IFrDuCPE6DHf1JN+xmHRwouhXRDiw/hOJ5+CEGSI8Y067iTREyT2vFHLrdzDkCbGDxp4kJueSDEOinru5SMQuWIcHmHGsg9FuBjhBjJNspGUhnYdp18dO93ILTZKNo2yumIREk9pGT//ofExKolpPDIr57ZPRujA8QLL7HY7pRG3VdFsWvLG8yQOKDAavuyJ2ZQ5+NqfZnhXWIDhLlGxEk3X0iVZfwESnGGBeWzPgZtQQO89okIZVEyXXbKTg93YaIyoF+XXQx1pBDqz8gMgxYbzeKIE379uLyCHaIGLk/iwW8S9bZRL0QsPhnrPqYQ9DxIcoLVPMpIU1MW1uOkGNDzE6nYeANUXXKEswZoRYXemk4ZFEt5c/u0vO0ylaw+AX1ITR3ZfCkDhUCnWWNAvshl4dH8TyeChq6sVgBDm2s2GaGYO59BHIscRSVEmIUTzQWKlq8xRQy2XkpQKbfRCMPKZIBSFJRSgpJfXxNFbi6OEllDA9lF0m9GDILnyKvrzPlyEcIFyKTAMc1EIKWmwCPuee6TQmhJacuZ4/78MT9tDXoBjbnWEwH/dQEmGLaDO5aHu6HetfxD3bE7bJdDQcQyxz3CoQ+TiRr1xKrORZNai5k30XzMtcs129hPnmvr0R/m0V0Tcgh/JS+IjmNQ0x6M39DNhAVbalNgj0v+e1So2/Qk+cIuteJgPJ/IIX4miKnRLhB2cfQoqHG2VKuMbGdhwzX742ruUcYdahIOpQ1Sb3i9v46+KmHvpTSHWLLstVrwc/kez00FW5dmH/MJzvtl4S0xYzOCP+T3rfjdMBVUAQ8My/su+or3YehdINYIDAq8wD7V75PVQnP50YoV0rmV0iWTgDK7PZIXUAohSGa4od8JKGU0mwRzB3UiCJ1EV55/G7bJXMNUVWpOHb5IbdUMSz4PKMoaPl98vKdT0d8BCaafLgN/ey/uN14RqzKmECwyh1iU2JcQqESmBd/KacdrEH1QFtzNxas0QKuk/WgSCv5q4ML+7KRigv2kKWzFlj3qO0V4PWACh+6mg/TxhLugwJ6wFnYJA+HBykGQIjrRBISdLQv/rVapmYCQ+C4NTuwz7Cz89/cfnPq0ziF05gMSZlIAl1/aFwFZze6jmO9uAIFtgd8ReE3dd6BOQmB0cmXcMxyjYLBfavkeb/2h52lng4S9NElzuIqKGpuFW0nevGTYyV/hlSjOsumc1PPufX3hPx5iwO/bXsR+2pd6WgIXh+B+3tOzHiVXl2E5woJ2QADcMWlI1tcLCuvGOE7/e6COoeD6gDqz8O7H1E9pLWoVzzfH1f7qE4fr11YDdVuQET+stuWtyMnKicBjLRSA6M1zkB1r192ffPAbg4aWmfSah46bLsEygPKxxCZHgQk//DU7i0DSqQJrr1S4ZcjQTx8ful9OQzrSWCBtaXKwRObx4gF9osVT/IZ5PS/IX+qkkV4yCKw129lOeCSz+CpSOGOtYsPuZAgoQtKqAor8D23h2Q/XTCIr4DoE2Z9FVy88yGRiCxsjHgkuB+Hcu0UTC2Wc4Ru3cBrrEhsb/InKsiLNP4/Bl5OkZJLUV/TZofR8cf+02oQImcoZuDaQ6P7SGo0xbZ2TajjS1uXiE9zLThS4KQTXHF/9/SfW9tcr16V2JugVbJoLaRqZnyRRPz4RA1XiGoBuyTsJR/XnAMFsfwz3hFf6nUGqOVGLy0nrb8Gy8P9/+Vft3dUSsdtIfZrWFgRCYsJL+i3XdTRPM5MNVcBBXXQ/FFMfIdAlJBcsoUQM0Qs/tJ+I6FMLp4muy0Ta52fg+oWreyQwDjOjFFYE/HOrWtZ6oeBW8g0rjcmRLuFrUHuVA1bBpjSjoo1bOw8IhJUm/Cq1kzdbnD5BAkBHIhAcE1RnwsedX7/stnB+d8828PA7sSd5VBu6pNO3Es89lmVPaEO8dZ8zCz2qzYece2nGq9HqbJkH63695OJOTEQskuTm5sOgQps66CcdiqefapdavoHeQ1acIYP+mSk1U0UhqNgd0AnD/DjdO0M3dEpYCKiUF0vwMN/yLQafCysHSmQNKo+bbkPiTZSvRIYhbTqV0AWpWZY1qoGuUGiAh+lHCn/wuP1MIqB5W+TZ7TJJl1eCbDGGnOknqYCkhcXIRJ6KAVds5bMiGVLg2Vqjnr/EvsmYJ5wBT/iBYPxOfnd6OjJyyBxliWjIDPPgbbloPFyYucbq22o+X4lwfIGIEDJmR/BxgxVfVOsrnRXHKXaRp2gOBfZ1/Kw668ZXx/9+sWd6xQ71GCzCM5Ut5wcPPWxjCLmzBrTCEG0NBFKA20TXc+SU4IXcEHW1bY1yJOESpWSdL1YlGJrc+8yxyXHbY8kOdvS/T8O31Lc+/yZpbf1M1NP8mN+kko06Vw1M9XBvhvZosFfmmznA8Z+yMSPr8Ow3LZSWHtzQGxZCH6ONQppzn5FVoxQses7NVweY2iqbteOvDDS3VVngr2lR3mL64QIlebWa+1KqmeAtDIxR35LFnyioYtVAcIoUcmjUPQzcU/5LEkkmfAamp4jBJYcVYZRiKpPhMBhtSBKRNis/08WfKLgzlXnymlFNTpSFIXuMfstiSOwjlVDzRxptZ2kA0VPGdTDalDUGSG/9GzqIEHGjg042O/NPoOntcQVpKyI35lwfpDuSKHWWL6Ic4Yza0cIb7L401Agof/dmorqRRzfVxrIq2Pqmq03jSm/U2tfrJUK/nqCl8cffu7sSQuhXdZk6cmFHumMUMonPfs8opxZiZLnRtU94pE31g8knAwrGGJc+gKsWLvr3zlx9yuMIs6gVkahjxrwhQTe9vA3myvnRJ/aynTnQKU7+Qp8m9JVCUFu0mDwT0tVAp+9MudEv+Jdeeh20o2ve9UrzAQ+ed+D9/N/wgNVXiEz2q/x7h0NTjjIrlfSAhzIeL+RPSEjyj/rX3ftF9V08prBp+lW++yIpUXfZsP/mBZ5gq+KELDg/JJzyKxKGfoheJaHL08xAy//eLaeKkN0mArkP3QwO5/9GKCN3u96y/W/Udi16JHohekt6w3i9xuGs+si92KfIxOkQxsQSjp+9Ey9aiz5ed2+GQ93LBVTY4CtC/ZMNgusT+xRba/QAPAeoBGsS+uiMBBsQPghj8Wao9O4qSs97tXgyYCt702OJNzPpWwVAF0bd0usysJG7+F84QKSgbrBrn+QQ9t0FMREC/K5xlYrwqJN/CJl1Nsm/b2U3CIsFP7ld1ffil++jK/apa4+xRAFmYGPIQlp5qjeROFUq9K61+BAJhGmUmOmH36HDV/zDx8SI9++bjXp6NbYBS9whjTT5RBqw0VTUItvqfIw4tOH6cBNg2YNrOTCpYR9RRWUwQbZH2oUAhxtIvGMz/Hq8fE1SAgjVYpoHpGmJTbVIUs4v0U83rVdZ5ZloKlvrBkigVl1ddAQGeJ2eUp59luyaLo4TenBpKatodMXf4GdzkckEr13llbjOE35oI+r4HaJZYI/r8uOw5A9HcocbUE1vPYtbGBH4+jZYiyni0LeNnoPdUMBqAjBCRjA50c+H7ubDmuuX7c1YD6tiBMv2foUo2IVB54KrHEATm0UTfJd61zeyjv7dXu1cCGq2swlNoCWhhSAm/srDKlXzFKabatwAib/EJQKbRxk4krENwcsdbgToGlUlDDQItvR6TMh7X4RSFhl6qzwasr+VfMt5CTavkfllAI1YKLq10Qgwk5cQUYcIshCQH+2pOS+h08tMJAC2OoGjQX5x/HIwSo1eV6DQvSOnl+3mO6PqldolQyRNKsdLfd5tuaHrC8u2i2eAR53aYmjgvY8BskgKcmb86+Yi+BS/H0PUDaxQzUmBWEuKHhVgJ2RJLOTslSdE+lHFzzB5aChWrcdRWsUkRTdgvtAwjCoXHZG2nFEwowp4fhErmnJdlieMsOwPTV1gv5ladk75KTs7824+SDnLIvwzJ8WpKBnuK/XmljjstSn8/K6PtifPAPxZ9M5wnYyAI9Dp6+03G+dgq1RNjkDDIlkDoce2yCFKL5zfMmhceFxFiUJTcT2QQhj+2HhRvcKNK2S/wNxaWuDaq9hDWPyUkNVgs4aWYlpAvAsRw0bx7njVcJ/A6NGlreGHAV3XcjCcN1DGmEWwQY5U1mR3+LQxwOp2nJnQMIdA8YM6RmHMkl8ZpRSYXSdSlwJimDu+2WHbHueD1TvGHBMLjR7R+jKFEKMjRbkYdWeXxm+jucVnzubpn14XLlcUjESPytyk7abHzkY5/xRYot6lawflJDsgIkZNZ9prXCrRikb/V+u082f2GFwgVx5OIke1m7FxCplL2pGXqopRhwtbKfgJDQosWEta/4rJP/61FXd7DGOBr0ETnoCZiYVcixKUwkb2ec93/Zj9dQ5hZOn5iqFrBNxEuKLXz7DSGRzVdmbNXorsgOyjLYeiRHiYcRcyPeN4Nh+a9PtSNIVuZpyhudPejwzOMPvAQIoPbTsMfkizLdKonXiNx7pya9xhy/k/ytBSEHG17+/ot/nvj2Ls42Pu53sFG11xzSxM30lLlqd8nFAZa1PG2R9vPkMD9rzDrJicMBf4xKeXsrvoZzAUmfvxQlQFJcm3Q2/d3BPtfJIBPs2R5En9e+msEojsu/43rJDO8kp9iEYKUlciIjrmAd+orxnzYqfp77tO2iCAAgBxEreQrOBdiU5+JEVoL+T1MjOhmZ4b2Rd6FNo3bG4t2V6mxDVxqWG1KVs0ZQxwrRKZLUFIE6FSW+XSxR5i8a9fBKuEcFw21WBMlmG06zAZ0yyz389nZS3XWp/lupya+w6j4zicm55pIFqcT5LiBE8bLNlDvPNprKnhpVZ2cvsjW9he7hZhVba2tbz/RNeqg95IY07LsxvUgH5056aXJatb7OV4Mfs77cexF1q/sGHOCtkL3RnehKYjgzNsOl5G5R+HotOAgaeFFlgEptuCJTj7N+y4U7Rb8Sx138h2MigueqOXW7IawNHdwsDTwILOw1HdwRz33sg1LYgh3hBnLIxThIxwgcea//Gs3aFLu3Af/Rtw7Gt3Tri5krB/IxPpVlZ+JY/IAOTneEEOL7PbXvUSNlc/3XsnHQVC4vG+kRE2TfCYcf2NaQ2pt500bmrsfchvD+XXjs9Nmy/PtO4iA8Pxhp53tbMDTDrksa4fhRAJolWqocIpSGPAdB1pQaMgWbFHO+KnxeCnlD7Wksmmcd6pbViPZ6FarYp0FozVUtfFp+nhx2WJpLYpsGRWFC/51yjyiikProLIdRt3g2DqqYsdRsrgsXN54iQbpjupuRp3Wb0rjuK5zw08i61xGK4wpa0J79ThSKyWb7aBzZEqHFZvn05je91dS1FcYQ6KiSzHAjtnlIrLEKbsD0VcHd1EiRsMkX603cBPlNKL7apmG8zSmHluoczPbPf1Und1EiN+s2ZqTlaaNzqeqdzo0nCrdREtRdIw3VUo/pTq5iCeTw9CntiMqdIucYYuTBrniUoMy8Q9xYQcb4uvndBFL/mbhATMcZ/b2BNhuTz1LCrRYrs3s/f4og0rgB6q41nLUQ/JD4E8v5RSPkgH56jXQKDaM+nz9CmG/bpMkZX13GUvJDyUfsKVql1zrWn+kou6e/ujl8NeNPzGn//v437bK36vIV82/XKH+imSXwTXQexNJ28yd6KEqo1lSqsUirO1PRVbTOZXjCptOvSPRob/yNab5LzFtVb8P8lMzCHB5Z4SHxJpAz8op0N+5e5eF9vTCpvtQkXs68CH0jP70Cdhr4oETNjrI6Wf8UNZN0Al857c5TT7mizMZQd7FD+83YqSIbSQpXIlLdf46k+DVnHy2eo2SEYAmY697XLiCvwIhoK6DzhXdMwfb5TxsilER4Ve/sMm2F3/rRrCSxXVf8Gv/O39bwFpvPBYwBs8l3i/GA6Lml4v0xAHxTEl3fQmmDGwweLQ/w35JQtENi/n8cj5JmLaH1h7iYPq86HKljYNXy9b+zuQRuYWcJDfqMKh5ESduhl0zDppht7vEnJeAk14dBhiqkLNZCUgP2DDVp54cU5emebLjUNaz4mG/8rwJrgR7Yo5hERU2r/WpQ51gXFuKEp+0IJfFjCNx8NRBggPE+83NH+yuQ2GrqhsmP4H4wv3bgKkxi/n1ja//Z4p59cbdt2t2Hqa3j16LacS4dbXfJeJP3v/DCNOrvt/tAKHXufvXWoDfAdrE5v4QzWNC9n+KcO2QE8sa6JiH69/UsF1QiP6asu/XpRZLCy4UzHB4A69grkvVy4caUk2r4DrPmLYg/m04HB1LMc0buo4zuuHMDPuQBYoHT/GyYIneQnU/PzuTA9hxfQ2v7c8UJKKtPq02BsorCy9hnXBFvbEYSqS2USOgwryEdLFk3mxSs0ImIXVGS0WwsvL4Be7NEMfD+dDKEy2NrIN1IsUDtS7A549DXykkfP0/KSL74ojq1T8A9Xbl96sxvQ/VTSOqkHyz/dp//ptDKxd7GGxdglrgIzRZKr+2OEu4vUoLXuLmwZMNJwq/NRJe/+G5XX1zeP74/USsOdOZbOdO4XOmYP9ddRbcnz/VkolfcbUI9wogAju4ltx4cRhP7s1VRV9ioXkOlHj/Zj4mwiAr7GXoEuuNYWE4RAhKg8+l6Mz5eASkUJvK9+tETVQSnKeIf36TkqFsMrF8zAFs0atMyPsYADASlfkHObZrj+lEjeUBorZm4jVbVf/ZPm8N4TyLJ2yT+YQMjqaqGBrU082iv6KvWm0MUqrVuxjOFwnIJy9lRH5iIhN9Ypa8ZFQAapmXezAKujXrPCTDUm3lvl26L2kf2oMGwzgpZQCLlT3BSdmT2GH4AhsLszNZp6ncbPrna/7OeV0WjqQIsu6bnM+cnB4KMlIgm5MV/EDeUuKoNmmDwUgc7frdtCYCa1VdqRiQlOKbGdHj17vbs9tT+W/e/jVYUINvrh8FCxsfhwVAToDgy3kZ4IJIT4jo4/m5oJITavDxvJm+5X88f8zACj6evya0II2ftk0eZmFF3uySsO2Gc8MTv26kvbPs+UMYK2bd3/oX3vKaTpnQCUt0wO+dP3lDV1mkK/xB59od3frUgm61WG6Iff/K76l7ddhD3Pvr/Km3Ra5/EMdJHnI8U59t1/iWK1YBtfoU+14/pef7fT7omvOnLDTNs5fmbU3Wz2mfvTZ/1PTt19RaqkE/1+AHsbm7FXWlNpmvWuU+J1A1wWdXb4oi+wE6nARUhyCxb+fPDzyjWutGuyKtTrFDIVWFmyxG2TUIOK65ibld0KYZhOl0Ip0MKPYgpPp85hNGrP0BuMNqXXQBB7BQawJQ2ZlrHXiWwNopPy4gGBHGFi5By0o3reeMqZDMjtCcLuacanGjp11cI3q522trKIZp+uRiUEzkjsIOBQTHPRBzaMIjOUMIVTGpub6YLyn6S9IAPTT+MEIdR82GSNDB8srUiLa6izV5L0k8iqPecWnXunFLEUjoHzKN++AUv7wgllD6LVy6jvyi/oihRBlXVO8Pxkyn0DLl2tmQBTGfXOH98syktNydbpX9+pxLd2ruiEjxSGcC7DgeTn1+4fJszjAEO9dK2/TlX2b5cfvXqdS1nGLYQ+rHl/2cLx2UlL098D7hXh+GUD7NGNAZNUIYzHUUWePiF32ODaurrD2ri74ZiMCHJzcqsjW3YKJg0vcFrMG4YwPjmFGCgB/KNI+alym7JPvVC2RKyxJB5l04mQSg5ZWs4QxEf/Am2y+44S1KpJEZ+PbwdNukaFsoB7vFhVVAL8fZQSmhV9eRUYeREExvnqVMfZzzyL+V2umcAATtjlEyHP7N7g6/ER62rLVwnXoOF9AYSCpZ8bki13el+Nj6G6g+joAx8p5chZAaVrnf3Omgr+GtPj2eS+WZiJw9jLa9d1WbVa0HpYQdW9b6+/aXAyIgJ/+9SJDDrOZ+kRvokMLQ1WLyEubfTR+AbbtmrvCYrezIncL2dijBN7+w1+tZZEK4xhZCSpryXXPSRL2diHTfL1nkv7xq7eLUBZ3a53n4WhqLh+UdmUeHWTGsBcM+4e/cSap48fhLvM/HAznKo25vJF4hoBBZUMpEnMgRwIyC030nPyqWgfkbMWG+IdVBzmBSxBifvsf6mPVb9fNym250lziwou8L+j2Y3butPSa7YfMFBrZypD1goxjg85ggiR4Hu337NrU4BHzc1g58MWwJjZELi6aOEWFxe+zAEboAqZbF111LQI0CrD8CjK5ACkjQimczJ2Q+HMGkMibG4HW5VPlKdi4ZzxkFE2NmIq65oU9ZePQuKr9Qj7ALDKBFOh+2WeJGpZ8IUrjDG5CHOZU6EEtuhZyiIm6yDk9N1TwkVD26vIRZyW/Bp2sZsEOjo0Pe8Q0dOpaRc/9KcHuWUmkJYK7gJavgvLz4ykxQ2MgrlWEzENUX3DEYR8caO8mv2bmsDAtdk6/XkA78oet0QY1rYppDtBS69CDsbBwD1+TdY9kf6oiUQaaqcq6x5mlQ2SudNA4i1JFyUKtOpn5Jmsj5O+7j3z3s8n93U+dG1KWu2eWE8dXiTIDmnMoAGZpdkRg4UZP1wlq4/sGdalShvEKM57P4bBZrn4vZzvhzFv+YSe2fmRyVycq4vXT7ay8ZIjJNQts6PsdaArXIDhQD9mm3rikW3pdByYAQD4KG4VCFY8i79+kuFHctsWh+h4wXj3VSeYDU//6bNUbHEL0yRM2fqPp1Rt9s09n7R4l5MiBztAMtqM5BQQY9NMsyctKIu7ND39i2Sp9niBYAU/D2KYs+d+VFlrShtagqdaB1SWX7xuomA4wA2AjAAIDjw+hUFOpIsSEvBQybkGSGQXs59IKw4CkhVsbGIi0evFyWzCQGPaen5qmCS6rW+gV9QRniax4Eszgxxrm6eZHuCovt8wOaz3V+B2YK7E4AZvl+WbywaV1viy9xEWUGea+6sE42TPEb0l+/Y6TIcMMd8WtZE49RjblKCpQpOQcTLq4Opb0CcmMzan9V0955+XZKz6wJZj6QVF/AjMLxQY+qWvztYFK5U7ghEJ1NJT59R4Xqptv3Py1T5xZ8SR0dQZW+xfi10Jfj+oea9fT2IQ3ZVn24mbLzYvXXeww3Z1Qx3CwWgq+3ppBIY2JLbASLeHop6uvXkJrwpZLQU2Nsj3m7uRzD04LyT7LslDqcDr23IIyr+jmE8m7rFiIKK9bg4FQiNpzxKZsMYQVrdkOGDRzpZWpcxTiV4wW8fbF7ZLMl1J1RwJvt8+ny1Ie8lgPKe5sBwoftBzIZeG6CrXkIpI+wvWD1Lyb33fex2p7rvO1+U7qbp/a3tPvupVfpsxD+1fzhepgrFqL8D7euv57nLY9952E7u9pXnTz22+yKzq4OHvtmqVpjFs9Smb1XaVS9Jo5hO2uyTVftpIa45n9Ev0nvhYf8z7qt7KoqA64AbwE4Y6+9PDOicfA/+0Zonj+evd023dPAepEBkTIr20UqxfEHEfml8VdhfiTXmuVmM8ucjtB0jThNZeX4evJ02EsQ4+W84IHSYWf9OFy1brEXdGDC6uhbI7coLLNWrLymrhvSnp24KwdTGcEIBBv1yefMtPPnjLBsqy3z3jFRZ3PPMK1qe8F9gfvoOuLY/RJy4rh6On6M42OJkWLAhOLCwuu4E8fVSB/CR+S5XXcZP3HWxFuRqN/x6n45S8bS40eDpFs/Gtb9+qPo2J/jblVBG1/yzXXs6dFdlb5vhSjGAXH8kyuPMOUwXj3B7LQKeOONJRB83NDcg63kN/7J+ba0PZTfpm5x93Eva3Q85Labd74l9JOlzAt66lhVSP+JDPDTRURL8hJcZVLFk0Mu/4YmZ4ey/vwffUihI4xcTWYgwdBrfy2Ftb8vXc5gcyzsoNl8mw7lJwkJB4IqqCKMkuD3CLzOidEgvlw4nDpjE4zXOq3U7Pt4HUOYZPntBts8gZG/+f3htl1JgghJwS8sShd/gw0586+CExTUfkEEJ8TDl/08VMJUYSCKi7OzGQpUUXc/MDa/TVAI4mihDqd0ZWo1mbmmys4G82i7xMHfTMGRWcIYxu60WNhvoE4I4fQ3dGRhoK9nPr9Sv31bWLiw85FFV1kMjCTEr01f4fQvEPBPTIGXfhY45cpQgZUxysoPA0/OxfjARAyW1398+yqY01AdVSUpELW9ulKuahP5/XqJFCjqyOwnea6jOc/lGfXtQ26bQIwFXBUt0en6Xx3vkaSOoH6FHCRxxRGiEq+8YtVFDkVdWReELC27T+4yK++zNfVE+hXKVWLflRGcjc9T94DDdpNFXkL1hMQ7WCxacD/FbFeoQuAH3oJ+AySBUCpLtTmyDrw4TvGYOrKLegxRZ42kfb4k1KTU+uiGLrKDNljhnYN8kVa3uqk6+EU+DoqNGl+R9zGUpdZoqombBDDfjuRxSEQkSUGa2RGgZp09DVEQwMAz/oO90B2qkbvgy2PsTjmf61U3daHS2ynqk1UIYWpjb/CsuShN/HXFN+vNyFJFifZdPP8On6L3DgiPSdbFgLl/AQtGIV4b470vSGuDRIbPbxBKkptbKjhYQKgJaOxg93CawnML/+b3EkRewFepK7q2iCQReZ0I9HWp8mcWfpFokyEd7owynVufIf5Z0/yRtUFDdC4YnZcN41EqFe3FVHdCCMf1vjXhGMRf1ATiAbVhOC1Mafcr6TeFLdctRIVqEVWgFTiorKa6FpcfAOVljNy+VLj60Kh/H2uH7bcusJbvSgVq+1qK/iFNUqZYZfAVszr+JugOVjR4fguBBe041FPXnP/KNSpt2jRcVe6pKhiQQQMkkHB//GscwFWBnbKmWn44p1cM8yiDVNWqOVraB0KH1aMd12BHs8BNRQRVA5g1k48dy2iBSDzQ4MFmQ12Y4Qgq5zZ3fyVYWQAQ7rzy7SHYRb1Zehb4Ac32jRiC26nD73MlUTIFoY8TuG4SzpeMghBwaQCKuaBqqFmydtHNnvyHyH3CK5qFQ3hhfZTqHJ7L2+bP978CCNezkQT1/BqI9qfjzsAaQDoHBa8R6ytjETLY5PrSBcbmeZwbIXhh+1lC6Z18ym1E7XPX94osIP4//o2Cs01MfWGJ9iVCnGY3/CgAIQ0izE6kkTKQJ1bDW7iOxsdWBjwNN8b5vn+7MvvlgNN5FERtYSJ8ILASdMSXMQktnCTQfEiL+ZXoc8yqlKqOGZgPJ9PjgAk0q8M1T+s8+RsNmlSzejI7qztZ2A6caLN6MlurPfky3CDyzerwzUH4PgaH++F0koWw1Ss2/jZGlvu80yb9oGP6S/d0Qe6q0Dojc0lvFaWqCEAmG20MUyxEB18/65OTZ2MfqnsY0ufKbdLj1XLcfy6SXKrFAZx0nPLQaLlY4VxDh8n9yi7LIHvKzjGTMSMJAhybjqZsmTB46s9ClPVvsy0RSWVHO1qWTFOlxCqixT1uHjr4TrlSBbdQWDXC5YkZvsYPzcB7XkzbqborGb423X2Y9NsTAYasKj84rt1H1QfvDEzIRrf2rbg0RZxX+d2AcTD4r8t52rPlj4SiTdS/X0vo+ARHjRvZwH6vE39ANYI/bWf4dl3+sLjdPNzThqRUfcxDl31RXxqUxVEhCzDtyR3UrxdqBwLLKCv8cT5wxe9aAeGuyKv64l4yPLhLEfOKuKTamikg/bQiPbIltQ+v/a5yjG1iQckH7v3mIN7Z8P59mJh1FKNPYjvF8riSO6NHcCxIsUyKsw5M2oF2QM3ABKhj6GOOZyPXiYa3BQFIG/ZStXwZAsrpQD8dy/Jo1DwxI+IQ+KGyX3ImwB5SKC0PshD/PPCCTucBdKeS29Yt1KaN8upw6i3IQ7XdAiriByZS4fgCEGVGtNDVo0fpveQH/5eGTNIqyxa6BNVHrAYPIGOGmlNrtFT4MLtP8qhSmpgFZHWIOJZwPIOd0KvdHLiPXtr7aARTML/6LWsSscJ+Uxrccfcwj+InD6GZE1oQsFwetQrVaB+/D6K5nLDkuoYp/NttyTXAF0t230KL5UFjGGrgnYkIBOOAiYJKvPqb07aMvNJA25+rOkcFaxLaIfzjJOm74p1SyqzSUVET4fjBcXufG42ftpg8JIvfZ9oT6hMnoc+uulKb4wTyfmM0UDGCSPM05dzlLnlB/4WRDBAPZ3zHkGVU9GHZwKWgmrpF3s2zzvOOOcvx1Z2923igO8/sHrhH7rWmeZtRXEksXU9uLrixx+GFjTIJLF+bJFgZYjJ4USLXqUxz3LfsRSx78lzugFqOxpRTK+WCWfWxRj4t7lTGwGLHXvd3wq5xhgSHaOimDkNKPjs5NqU2VO8Xivx+hXCVYQ+R/D1zBTgbXlBti/AULP1C1AQaVeGj5jx+TRYrKHSK9dPcXxJ7akgHEpa0GUQKEJBaOu8O0dTWQBJrwr9yPG8lBw404CDZmkXRL47GWaxPOuRR5RiZS+klxVvsr8VdVPP4Y0gcL1BkJDC66lQcZSTpTSemmkSMYouDRUxVP9wRryRqzPE/yAFUvFphucryiJt6crN2SPlss+SarnjeHSUKlLOnlGdW5ZO9nW0AhITPGR+T8IrtPArR3IYyEP/UdE6a2w0kwKJKhWoGpnMyq24cKRZ1FOZrvSev9gYQZVGHbT7WU0KDJr6r/l22NGlb3w8rUQPnwRtr+92hJ1KCMlz6nCIaCbcnv3jDlq44DTqKE/uZN+MThzVvwyA1Xlp1aKD6q2M9HrLdOzn8n2nDdITkGSOt8I6RcEsi+jfn+G67DWS5VrhLZax4q7YWl4g8GqnIhsl3tlVhbuHdRKVHO0AZEPE4mXmze98PJ75OnmOldbEpgjD4yioX1v3JQ6YnbpDd4oexPOnHt6kV8QFPG+U/Mt6KrqWOwWjM5iRN3H5K+NBX4igYtu1tcUwHPoqV49mbb2Esgk4dQaXNF9rUHS/RUSCF+U4ShYFRkVZ0O0IIvSYu5R4Y+avfygrwFoAeyHLnmOEwcCPolhN/olnURCo8ksrKUhON+rRMoHLohFzJ+jIQpL0lcs6FVU/msRLQqs44kol5YAjhFBWOYqIovWDSCFclzi4NVTbzeL6o+c2ByEkgGspn/o07INlnbbuemrxI8bgTcny2AdAEYhcUNwLI65ZdSTEl/8UkHP9F5LcfBTY8S+2423Ylp9zWi+x8JhoTqUe0FFuy3CavQLJrh+yUUKWItCDW00u61OGyhfHEYOsU/ruBcn4TGbGdH4zo3AfkNqRpizQuXZRflZ5q1St/XvCcCH7tHm8xgy9AHGzOwg4Yq2T8kRNGcklE47LVl+2dGjUNWWVnZp6YJz+21eAeoPGNk3H0eCDVRMJ37hZYtLPtF5yc/+CbyqtGf9n51MY+LIuaJSjnFleB9lxSc/0Uoz7e2+EFCcK01wvbtN24j2dujP2qwDWtDGQwlM+qfU0oZm+J/e463gKOfx+l51Rz3kudXxnMef27CxYhmZhYAOhBSUmtNnoG/S1oMme8xspGNp+1xQZHeN+o7kstypCsfu57VgKYkoyzwUHLnxMfWAZ0F90GsuhxC2O7gl6POjqqWaFZbDAikNEVVpQfHYARx7tXGRVKXMS2JDFXaJgPvz1Sbv9f9yUEcakqFDEBgLXqWtWOIcr48oUaA+BH8R0liK9yOC6ukrFCawsgMXB8FlIrfl1pK46To4dyeujZiybr5lNm7HywG65X8BS7XQvAvFIRsUtn7bgpl4XKlzlbpgDlxlWJ2d0uHMB1AE2X/oGX1y0pbIKWdxcQkIqj1C0XjemNTfepPTqBo7AaS/eqkxzfQ2fh7jUNG2dGF4rdRqcq1nSM5GavbTautyfxyMfQ4sK3R5W6TLWsPB2MKUoPJhoA5GQ2+QjyRQZLxKeNxb65rZtL1W/X7IiDIMFncnMG7/oqQAFWjRKNG9GdPa4yGCcsyUx7AcwnP46ma42q6hPrSviSFDPt3LYxu17zwvcZWuMrDJo0nxnQsxZldHp7Vc9jkOLbr7CPPE/OA/RSBw9LhDpyQJy6/y1MZH1uhpH1pRlDaJavb5LQQ5XSIacjOpLZOSr264/WWU/8zGM6gBiTgbu3Q5hWhwv7elTE64n3VWl9PWHlYN/sabcfX2SRVMUSqatoAp9pJpkpMmhLSChMAzRxYPGTQhG3L5C92T/e6F9iNhTZYdSx8I85mbEmOFhWdxqrASiODHxrm7coubV0a0uAmjKMUsCWtb9j46rxzKX66aykgwG9X4tMTFKumSASAqtVAwKC2zJNCuXckIr3L5RNX2n+nPRELW3Cey9x7UbihsGQ6XKPEewKt1xTP828kqKXA7xrnijsQ42BYblYNTBmwnS8LcYASOCM72VAsb4AtvM9+IPnR0g537SOktmZ7MD3aDeDikw3qqwe1JnFFMFY3PAi0heFpKJq7padhskk2TTw1cs71UqY+JHzw38ZZ19vUN63cQQQ7Q9a7YoeMHGc2OrRA7+X02dUqdmjGjW8as/0jn4qdovhUR7F1Td/jkzda6SVjKxNF7z4r5YP25sDkV+Ul4JP5XfQ+YV2Zeykbf8o3FsTIuMUW/tTSIjoeHgHtQYYWiw13uegTfs9Mb7x2vl0RFoDu2ui91FDDHPcVfOMbTFi9U9b2ncuOC4shFS5aNaH2eOY/qRXQHxHUku2usU5zGWxBFrJierk9fDKVm+jdyuiarxiUgviPvAf3bzHBN6mG1tCKKEEVGckIvAJuy3YDr9yJQt7cSJlci02608HN+p3SW6MPYLRdamx3G/J30ofLoYbbbx0xXIVa1iQhtLmj+V9QSk6OoZWtlm6y6Hi/O8KbyP8ee5tv6zKKCo+v6DFj5WFdopnlGfHa7/MRGai/pn6+cIz3X/HxV7n9p+/q2KvK7vP3x8d173d5y+DvRfLX8WweECEpvwRZveJbcLLdy140mxuHMKhim7Cx2BxJ6P5xqAequXdkWSHOCQ1BXMekAx8bRzguQtErw+Dys8XyFAzyTIp2YQdIvca9lZHgiKHAu1fw+OaOqa9+JQ2F2bzAtHjgHIm2m2pauv5EkzQMw2lcSXdrMtr0blGWoEj+B2kVwARinskDtI4th64mqkJxCB1HkQkZraTWuNiQZiUfKNk7sGNpGkmlVK0oK+Y2gfz8vfstMns0Mtf+2BZakS+rAP7URwJ4fAg7Wa2VET0k44nlhxZZGQ5foHuYajjFCmYsnVMGQLlblbkTb1dR68VFmDL4IVoe3R3gBxF1WlcrWj+ITfoeEawsl78pe2uBccqgaDyOQjfd6tfcfA7ffkWkoMbDM5nFRnLp9pmQR9Sj+yVbuFzJeQiX1OHjAH60TTtT7b++pGQmOwb/NubSqJqMcvJZR4jQScHc1Z2ydVvLg6nFJpwStSbg4XyY7jZwMh/Uwp5RK+Pa1O3917TrUI7/paCc3KvPljVujYB7fHQDpzb8HwlwNwwJjTjMNS63TiC9D7wpQ1wYfDxOtJ8+2NKWrqkVdv1HmXEG0Gkl5kmaj4kshGPcTZ858DmphWOvBz8zovZ64njT3fOqac51ML29Nq95YRRIel9IQWTlqy/PHd3m4+3L/NlH1syAYmyWMIj79XVb35wsN2Jj2Cvu17M0CHDT0RIRpHufq/lc0i3AL/ovLoWSO5N4y+/tzu02zosOrlQYCSP9RfmZUI37CbUI90B7sl7wfzJbfSqT2CcfgndqHUOfopax4EBhRUd6oXKELyVA4xnVwL5oywk+LM+X83qaSKanzTzpOYihjB3K45G1GD4KGGRN5FxPem4FtIZXl8aJM1DzRQwiGw7afvKLeD6K6OQwpEKa0Aqiz6R6IhxwTVcVqNDNqUIiUClkSfYrfOiz+F2CtWmczTTVdC/sNzwUnmJUSUD/r3uJLVJ0KCgyOH8HXIalgwOpMxyjOFdUXKVuK5Aw+V3YMeLSsnspe/tCSHNoaqf/rBxIZkayzyWDC0tPPwBdiuOUQz+Cx5c3ju1/JSgm3RLA1zrrjP1KwmHh79Slh+jeWHSx50y2Ft91LxyKUnnkXJmCNz2vsnf2jUlTiW2wT/l3VuZH46AY7pRY1moimXT1EcfL+6LvAWsAgckGjsX3C949WbLnDe2nDR7D7QIwtJHG0blJqNcX1UPJa3gG/+JN6QmcRVYAE0Kw6pQRUBg7vSUDiFZQDJ8WHCLvSnCZI6or9bJknRw9cpuXtUkf1Uglo0qlz/Ry1XRqz05AOqFwmeikjwDNSHhRxRw4/uEyOsOw+4hdCZ7N621cTTuYKl7pEaZ5BH498BWozWVc90IHVdl4ICmycOuKNSORhybdJYODMya0uezf5YcozlkfjGV9uRVWlzpnW46EIUNGE0pqdxw6VstBYsCWYRJrWDF4VogzeZ90quVBxFxa1Xzy/XkKM/ituwVMtSI6sjeIhg2LZqNdXHHFqrg2mq7xso88kJV1jTMWngFLxlGh66C6gpQ/sKLisDW3O9+KtAj6Ntij0doWCVUei8CqlbJlRpWpl0K5Xn7mJQf/42Rwd+t7WJareAswVXnda6WoYLUyBwK+qvmyOBRQMC03WD7ObrVR9+ZYFuFlI3R3f49cix8/Ur702SYDbBX8V2sPkMppAwPfanGYpOfiY9ay4zH/e8jsH/nYAm7q1pkmM8D+fA3XupWtXHtPErTga4RnKgzDxoJvUW3ynsPis7shAsmoHcTCejcnGIyqOCm9Lm3QxOOEs6biUdiJnWGkZydMe7Y6vADUYcKQGSuL9xlYhy7okmaURkx7w3F/jEx4xYWo+pF0Et2zHV1YB+zWXlF8XxUp6RLEGZ7HvtGS4XFf0Wv69SlRtysFAhXb2DnhKZsr9+f2RvZsjFr9dCqqLEkIyrpHjaqil5XU7gVyr34JxPydvgjnEj+ewUQzN+J+XFDPtj8fXz3N+9v//4X3/39SsQ6voyqhHAsCBBIDsQEq+1S5LBtlLYol6tl7ZP/+3iUerNNyQcwsK8Q5JYb6KJI9Jv3DqIpGFmpwfxWWrUiRFcr+qbvjxtoLgAF+E02KvWIfhJd5PPZmBtSq9TWS6QV4s38QmdyvFEo0SA/koGx3MqSKwMYb2/QYmqAaPUjP0PG2rCecObxg8k/juJ2e4e0g6cn13ElldU2tJUwmzrzxO/bQ1hzfDzQatYDvS2ijpW/LIT8VyuS3j+aBRhS7hvEef6bSYB/+adgLtYRP3vJq/w27Cq3M03dn7Y7LqlCAOwIXExVqagwqHSDDKxi9ZpskBKrImEQ8dafO1Kx0fEGQCHu5Yfp0wJ3NjWp23oduFYUV8C+gRmZHq/u38mrN5faxwMIfy+Mxxuo8R6rOaB/CorjhxJ9KOmcrcWB/Yxl/6XyAD8HBqA/BGjpUU00gFcaxIxKoazXAVKVo07eYGIKoArDDWeze1lhIM6gzHr3ZJMerdxuTk79lQRHBseOxd4002ayFdeTy1hR4WSdOeNT2/pYBGQQokjJIVcQAX4Mlew6slkOuAQ//pkPrCio0WUCGg3yWgge/epoJwsN59cYKWstBeDTIhHAKMrlwfNTA4y642Ulu1lKVonNXqQgLTvSUk/Ged5WBhvVsL2/VaVyu2NMTpmPv8GV7SRYFSl/908acD1agk2S2EpSvyWbj4EFSbdUuhLZ6ENcGwnoGIFRGl8hjpM1M2NF8UiWs2Prl84n8dLpBTHO9W36QJRz9VMzUWLFknnR6Qz99NbfhPSlOxp50SIFhU4jujWUcNzBiJ+WZyCxkQoIn5fs7JtO6zKeFkP5KhAHJrAeRkKlAmd2gWmyE5e2zJngLGpJXepCOhAl7UcE4dsex3hw/hY8AHtyWfqo4Rr0rtbqnvhTpNb+fYKIQfQQgLsNM47rCEY18JyASc38YQ+WalcQlWMu/pmLQKGm2sC/6Xz+Lw9kqYNzyehtJ5yagAy7aoMFotUq8XyovTm7gzI8bmOqRlwybYvxyPtfk1B/yBZEaKM6UfOOeXrmSV3+xam9AupULdSkeAFdXBc2ny2rLaD4bvW2OEp/9cQy79n+qkkQPgRjfeNt4yQlXtgmGH5Ldaj27uVcG2jAMoZWhcioTKzeLZWUoWrKefat0KxabXY6ZiFwJ3oR9dP7szgNJsg6Xqma7SS4icH8P8J+WwWUb3xVKoFlnhyufTYQlzsDbiwvQ2+Jz/bvhA1WAteIvlD0QsPaYvSZaqqWCbYADnEIgBZc35bYj6ldLk7b+0orJXjqIy5cBEPOMjQSJ40Ya362KglzAkiy7TGDfsYgFoNkTx87OvpFU1cci7LaAKOwOsbPNNlxykclLsiR+luE3Nt8twnPD3Oz6Y/DxfjBKCaErl7/+F2nmmN6nDt/a0y91+TffEdpOb1/medJIyHVZaCrCnUa836Fh47N8GiccnI14W7GBc8cdzP/6WZY5t3JcB4LsjIwISwW+aWb24GrxSCUOKll1HzMYFCW/eipOlKoYApyxmQEZnBS/e5zmK3OlQQKLkl3x4ke80ta0WEcvnGTyYs3WDiqcFsVzTuh6TDpPh3LyXlL6Ushw0FGjTcajCGfqHF1LCcP76i8qaOqwNsJ6ODEux3Ppw6roINmq364AVesFcchzxUEO3tTMJMOxK3Slifa3EJBia9h3MzZyL9DrWtfe7spkxtv6Rbjo8oWlw5SJMK9dlyVHi700NWut1YtPlAXlYEe2CAsJnydyEexYqI49oZapsheHVOlkwvd3gM3x9V1Z8sjMrdCdhHdaqEF3v8iFruwNQvu3+wxpunm+x4/sz7/z/Fa9fJ9j5j6eJBR8YzM+lfU6x2tUWRgFXhj5+HhMyOd6G+9j3vM4cyMVzyjFQXypU/iEdTA0h5eMXct6v9+DK3B+97RSGVngUUVjshvwBBL3GHQVHhmwdfyPcoH8DfpQaepNndSTcbYnptfdX0pCHHnHDQEb0iHDDUT1Jdd1WYhHUmbNE/INqaPnDBkfmQTue0XUe46DsBpTqq7FypC0e2mXEhslMxuSxsUvkFYJ4eqv8eLgQ0HHkP7UfQCT2Ffc2CpmWbhyJRpCY8nvyZTEmpof3j23GeDIuvkSiJMWGHUHTkzbDRHx4HmCEhAiI7o2+E8dixaIQRDyPX1Cz+oUUW1+1Pj7iVS7K+SxnwsAhf3MtTZ3qj1wioXr6Tn9bAD+T7trdJD0AjZ7QZ3P+13YuPs9qM75vqq6eb5ZigggMDV/uJSf5Qwx9TIMGpkU5YObsjvOea2e2EFrOFxkrnett6WLJ7+qanze3J5jqJQZbS8DZDdrleJ7f1yXzk/vgiZo9tBol4GbdNRGWtB9VXx+9sAx4x2oqKL+L9PtRXDVTohcRgYlbH54Tor0iort9cP+4a2AXWdhzS+xDNENp3+zmEhSe72Ofjq7JUQmx2+GvjcIp3DgkUM+Htst4DVClz150g5/IzeXYV9NXBxP8zWunycUVFwh4ZZjDzY1Ham4cm+fLYlPMQUWaFRuF229T+r5iBbiq8WUo7SFgmcKQejN3WGYSn6DXK1bp10XjmdnJ3WHbG6OpoTYKqZHMflPaOaoi7tJI1fZx2xyrtHKlw0CRY1stDF6iqLnm+VVbb40e2L66gEjHn7W7XdpBz4N9tWUp9OTiFasNn1TdKuqH2Sgq9+BR381bGWn27b8pHHrTOCohBZAEDxIiDPKsodmzhGHF6QARKQxZ+hiMBsfoFiR7GLHHHcXEyfIZYqNJPGoXpu+v/+H6KHi+2zAqihsoTK7d5llImPWGSxe2wAdK178yhPS+FdzdutcleS9vSZq6MjFZeB6QPFlQTJD58dAaCD88cG3d7qHHNrtUmw51PCjRmaaFhLWsqoUzHF6S6u6v5MF3/HGlZ2zr/49wgFc9aaPtqBKBOI3vZPzRtVH+6ojiXKl9Ae+1djL02wDA0+53jfvOOGeTBshs1EoW+krJ7AM63bBZp5cnxwp+Rvs3388c0W/b1BGYxojLzZ5I4ZVUehd9hW5kPABer8x+XfaT4ho1H0IZ2Avyqn3QyP8FMCfn+V/3su5oZrjLwFT94JRRqzynsJE1HH0hfTy5ZosB0XLF5c6moxLcj1/J/UjiRrDjhsw38URD3MrhOaUY4jI10Y4uIXk3Oufvp67LjYV0d30xEnszPKsh7wT2R4vFJ8fSYeRlcyeixomdkN2n7nyKHn+st6qEHOs97d82lf94x519WTQHe8a2En81sYnQqW94pyW+gdejp0P5+SK85xng921J2T0/gOHrzF4RtDnSAn3vJ2092dkErLoSZyAzR38jhsFmxlW6gTH9UMfi/CLs+jcT+tLMNI7yHerLfbcbrD8hxwkaH7w8Yw5lXW5WTmZbqZcz3dCGQmOtMaW0BIBw3WJzcqSees1lKUwB1AzqwtxII7heddfrE7qlbEVEnxTv3GFAf6G8lFxuiJtbaSPfHYlCZ8QsDlKggKb7ItGhDcZE9YbdimlD3lfCoXe3GHmg7+BWsbZ6FwpGlgoQQTW2RuWBSXcKA9bvZrLjcQmepXFp3AogfDc1G5VCMyAMHuNmEv3UNexPLh1c+v1TLBFFQeuOHzeSkGANFuOWc5y2klUTlSjmzv4wG7O/N5Mlck/pVdaN0lA8k9HkWWBHjcn71ChsGM+YdG75+CfQmjMkC1R31tDUzNG0lFTjyU5wFkJ2F+r4PeWWKmviUlJLh9d98qEVuxGHumMC+gd8aGtADlht4Lkjkq/gtXYgATJi7UP/ZUZ7rr6TRxHtUrollE6iHucA3pfogyXTkyhnRFZ9Uf+TikPFu8gTI7Rsktzu4JNKjHEepJSFIXiHY3Ac6J5Vu6xJd4ANLfD9s8aWoX82MaU2OG2UBUkYVrgBm3ndZ2fdIhOa5pUIWMBbVUXKyxOup0bR0G7jPzJo4jRNBrfwvimYdvKAv+0ouaJoTRi0NKKLWxtiXCrQcNIvp8nVl0kDyBj7ABmdg7pvNxtZTJ8NjBbGa9ako2A2YTlVFh0q5TfqzhUnsZwJRcBzKKr1s63zPtsBrtDkZns9C6r4pqlL+8t6ex/wtQcN1/vEq/QnqApwQG3aeXOVAsFGECeAkkU1KeKiuNv/783Lwdqt1ABFdGBu2Z1m+RrHOUNOUMp21OMqLLrCyF5QB43czR676FRc/Jhc/e3m1bW4VR2PD8ZvEtkkNi4y7glyrnfhDpZAASu7xQJLn/0xJjRGh4tem+jRgiKmNSlWNIfgByKu6sanYmW5xm6c80pNZMkJcgcU3ifFWaNyF0E8RL0RkEXZF1hI+lLI1hCX2W/P1nwWPmQbcSa21ceryfkNG7HTQcYUgzXisMR3AYuawPvczIRa8Wb6UPL8fTLHOiNy3083KQXTd6kPeZC5gS9RbVmYzLgUYW+TNDnGf0RAFFYGUrCtl68lwtw3P+zfEFfndAi0C1bnXvFg74kEuYo6xtjyY+GOz+/zWKc8Y3W5ezhDuPQHDJatGPK0dc/4vA6FzOAuviZZ7oFSFuAPPx+FyUZB5DBfEfzS7K3DuQWugwqA9XHJkmIudH727RY2BFIR85HiXl2eIZlZbu0jxbeUYh+WjTHVYjirmiaH8XLLbQlmvq61yjYimtkFth83AylxcsKDacRFWlkTi7CQMmNsGoeFzjZw+71LSMSF0phfJ31pwzsh+Y6/9+ao9YPyz/XP83W7vvPtnPQyhgjf8Ytb4Cf5BOTiN5ECh1qGDd31UHWqB3covTG9iyCJM7N064kVJESnRlK4nI36WfgpJ/fnLS9OBO/y4EOH4ToSjDWgxu74PQWGgYLd9SFseDpN4I8Hvnzchv9YRiETCHYe5n4dlzQ+Max5sbzsxCl453dVmBasFNGVu5P2oL9hRkjN3cdg5IDZ+seFqtGp6FCk0KegQf6Rnar8JMZcd3IjmZ34Uh2lNv0+LiUoKp/0A72LTClMadnxalhGwxVYfdJhmX2tCV0jw4Op2ItRmtoDdDurV+BA4p1kIobVe7rdqeVAWqdFwrbvKgY6v3Wdut6j5pyJ48ZJPrGacP2PlL+6wNFkezw95Id68PwvEk/XyvcbVv2fhQ+C5MjvAUC5mWcoFwU1T9csqnehBW872C3Yip0d5rsSuGO3mf7gfMGNvTxz/rmi08+48n4RXmPMRecipRpnYeg8GKNsLCQROmWbr6J392XpNwFPpHLSU2r8CGAUQihibnjyMxCDZV8ivXldmWrLRt/kT5uhDmyOt+/icBDm4P/On/xk1eyk4gVgOu+GX4eQMZsM5jzN96CxRTaSd1aq15hM9XcPu3uhWEK+HzETdx91/t8rS+HoUpEBxgqv+OycFcoqLv30PTFOVxSSeZYCO+g3eajgeCtMF92D85QYV3RFABFI0F6/9uiyMUmWW0RVwQAK+qQ7ywELO0/x1JmgKJHHA5QlEcymwcooZvuVe7JbY0epiHfZRq9Gt2A95D92Bs5DNaJz95VEy9waC9tFbtjuInAZcxiA7P4XU7MiVazywJEzeSzZD++3qX66Enbz7dv4M9wbzVksxMujT16mHQlEG9n1G5yDJGrGK8nRW18noBpneXsOlhYPxsObB3O5lo068kB0AVu9eX1xt4Z3T4hTb3sl/7jtbumLR/mrE7M2GMui1gu0RX67N4eYGUBJjgn8YrvEQmw/Vx5HB8SncWRFqOHxNMQ/on6uozslwH2lC3hVIZgS6Xtfn9vQkk0zSSwBgwvHt3Nw2WVUqu2adVHtF9xfdIlwqwAKFJtyFtKlhWgymAo2whFDMBq/hM/wtb/kZU9qcDrZZwz3CSAyr718eet96reUcLFIKR/tKfoU1Z5xq6XGplJcj71efvdApStlvH/CkfTWffteO5nNy43YdwagR/bIezr/7Y8Dlz74/tn6pP4o+lz/O3+x/eVvOP71O7nnV3WpcTgVGFRt+pSFXAWd1mvY4tlcT+Owx2UdlHyGXL9p3f/168+JW52bDn8g8MII9Sp76tbwOuZrHmC7Wc2yzLi6jaBbaC2nyuesPjClKxaLcUxMV4CcB1eOj1gRajAzRJjpAOGOyJ0NJn0W9URgitppBx2WejwmrwX9fWkTiCL4riznClyeMNt7HrXOB4Rmlo7KlNPdTvH7Xn/+/7ojoihJ6XTJpbKwt13tjUEt2r14YxgEPuD5eOHjFsFlf6SuGcy9X6BO4grwwaLaIf448E8u9ZIwgXhI/KrNjeA0KT2/9x+QhbGZ24XRzXs/Hp32Ohb/3C+wN6eL+SmuLhWIngYyf0rFuZkWkDiewx4G6V1ratgwd2/0VTKPqYBvYbEm13FLXC+Z5FjzXFdr8shc7yNUOlcOGhjcb6sGHZUr/76/E+hVtgIWkalGYZnU9JRjAhJDL0h0B3EDVzOgCfqsVwSLTvAdlkDMrqffBlU8qIry2Wyvto7ooK8ek5TUSBw7RuVWqVTs5gwcN63dRCaj2SFxrutz+8nSOtW1sC+tTXRRuYvfuZel1q3foPb/Ps6pb+TyiLrtT/Z2nPKXqXlXSmAXnuhbG400HWbXEAUn1wpaNguUBpbd4hqR2Xkzq84JB5RvkW+H2KeS1WIUDkUd/AyW5dBuyJDw9jXkmPGi0zRV1XAZ8W2/qeq058/y88y0rpvvBEGYkT9TzvRPWhN3mi3JYr2c7FqsGKRupoqx5ZaMLuzADgbqmwy1zeJqRo7COlv7xSLEF/uttz1GsfJmI45LfvBRyy6Dj4bLWiOrRy6EOl6lyIGOy2DaFn1Nis/TPUFzd350R+nbNWG9/DgIlmM0TVChvFWLItb2PqEGqXZ1+24/b2lXJW90XCvVdfPyfMR4EmyubF8LYRKYjwvL/s2h4AhTFHZy3+wv9zdNRRLfFkuFEKrsLF2AQEhEJh8NvRL5x7xNWyOPXwPiD/m6p0WBWe5D3/LpUNUv48BMR4QzhTbolkz2jcewu8oaDuD/Rj1ywVBeNFsENQ0AyxpiDWnZFgUE+9xgWHZblzj9g3aDNObN1LyhZ6zuPxGw5HixGIim6laZ86d2aeTaa3SAbs1VLtFcgbasxComiozwfLsUyHi29HhjGvAKntp5Zg/2rS9fkJ9xYhPIc6N0nBlnMgNUG9Si/YG22jpuZPclWoEbVNB6axRsXK1K7iJXz9BuJ/uwvfuuxzfT5m9wLljJ2TKTVDbQeSTfchNO011+GBYs3pZMD9GYjX45YVtQy3xaY96P4IIr82eGfHb7nf3bIEWMyWLJ7Vz3eMwNGmYJ1EZznfFGPhXbbuPxb9d+MKla38OQFZPtrK9r/b4Kh0SNIGb8Qn6QFNWCjhrWnKExAzH+mKESL83IxllXUzKpX9SsDJK0VFZaCnOr5KRC2Y+yBgXTdjcJi7chrYum3toeKDXk8O9hV60RCYHf7Crhp3cGhpM/Wsa7tTMAoJdAIWxvkL+4eFmzZwoh9LpXd7vawLkPYGm/Zt+5/FFGxjrETVggkB23QPyWGnUmHgQZs1Ee6QR3LLuMz5xbGtOaoTMFrOEcUseU4Q+b6P42PcLSQzi0IK3jTjXk+SPHSbzw9QgNwsD6FR1BZm0qOuDMQXGb4YgSyCtTCxR/cjvN+epsrwTE1ZBlJkbpO7dFeZwNxe/LAo6EZcj7+HhA91KlAbdQV6A/XUXgVqA6wpmy+4WWzMa32jZX9NeuV0RJ98tHPVkhvkUzzOsVXNt5sQ97eTqfYbCdJe2zKoIvt8OGIlsV9purtx1nOVX9B1wEkXdpqaVtLHTqO6OEfi02p0genrvGp+madRKEcmzkyfndJlancZZQn9S3/LbMSoiaG2dY0k+c9rwYNy+6GkWKBJnI8S361ua2OROK8t77evSp7VGebJyoCBkR+JG61wiKndU8UAETYQY17jhHEbG0HwZzr+aQEaQpHb5hR7Vv0TVxbB7LgHJlpWfvJh1HUvo+5nUY5BPU11sjuwDMf55Lv7h8/3/xzbK73W9cXJkw+sh7vWP8d2pGddXRw++Yg+PKL/HOvEet0yw0nD2p54UZyJtgAa0BHY8zSExyEwz9r4ZjJHYAsFpzWBgMkLL8PFAGA2/ZY2rwJKUYY9j0Qs84Jx73Aac8EvhvIYUVsfV6ITX2zaubPB/bZIbgv3eQemZ5VBkz19kEGbAirWNce1RB97pcNuHUwiK1K+htYYVdtrGnzWkY7xDl4r7/TGUPL920gcKwkQeQuPrvFiEEAZXVVFLnukxhp+dDbez+tlaareVhSFPSlrFSpWYe4QC6OLP7UubSH4xsC4AV92kUABU6PVp68LVWiY+XKvJPcuuYNdBw77QTHdddeNKftETXdvZOkUUDY5EHww+LBtumLSv24dvqIXHtpyXxoq30fWJi3ALWwDrmnlEReNc8Jeuwh6JX0d9OdCoCp0D7F6+fRBWcjI4aCqK2dTzYJQinYpUbZQrptXzH7uSdAex29eCthw12YoWtH+il/NuLQt+yByGKEoMZ/Mi66TLTp4MBE7qOepkeyfFoeTp3y3MuPLvq9c1LavG7f9kHr/5I/s4VfG3qe8B7d4qNv+T6rpxnrw9ig13+rNpCxPWphPihTc+yTmcEGT092BOx7QtOUnOD8FbnwOkW7UCUDjStI03avY3qfkCuHmESoI8Ll85gvnnyczJcM9mTWU/a5S1B2thnnRqJe14J92ViPakAGJJmKc+2NxxfXJrxyIVmlRNtrIQYYA8UHz8bXtFAsyvrU7zsLfAkSrggV1hDN87k4RSYcxjcM04sFR210AGnwE/tTi6Thm5K2H9JePVjxGfiyIRisfl7Zkv3h6yen3VBzzaZNVOyZRFnANa0iof9ohgNhoInL2McvrLHMAyzM77BOIWXXQJHcHDkr3xM81XC0C/Y171knAyp+aaNNq8fT2X2ZtLfaPf7x+TycrnnrP366ixRN7b1ECSbTP5yGXNqV4ay9/bW4DLseu2dgHOKbFWp+cjx8/cb1cLP2MjL5UpM2vONaD4LZhYzz4DJ3hgF+TvxOz0h0F1AyuERZPjMZvwNsZo5bU3rxZFQwvfXSdat57WAEr/7SsxTFW2w+RykZ7hvwhsvv/zrCGBYiqHEDuEKgVmQaODMye0M2IXKzZd2n9vZ/KNziI4eUlEjjfS6KHIi0PLIzG7kANsUp3s4/rkLjQfvionAQk8/vm4g3G9JcSK/eCyaN1ObqFhNl+1bK39AITh8fidzshcQxpUrTnwN/m7C8r+u+h4q4ZPJS+s20FnpzO2nkqkvYeDbR1XFMUm+pdvR1lq7B92TkNcG/YZmvJ61m0WN6HPupPbWFKFVmBk7TsNp0+9CFOjq2gHy4qv4SPGo56c/T3cdewhMrFX7pWzydhim5Tw2EsfXW8Y//6+eX6l7tlhKLSLZ4q3kORBIQRzKW1nyjBDBoPL3YlD/zSBysESRDrGU772AV8kt909tbmIHhMYpI/1nhPD2J+J9HlHzQHMmY0UTkRM75FgrIVpDowaCuiS0ZiJwMrjAB6KIt+HmqpirVcxYwMyUD+Xy+KNW4SprcEVHIBrAT5IlUSq5kNm0HNexSNo5sJ9yh8U7i786aut2V2vJX81iOW3mvROoqTmpO18GTviJRaVztGheKtZU+wKdV8zJKcPbe1mqvgdog4cKt9IJvQicAsWsduzXaES6iwSQkQMihDPmT+mrKnu4SyjM67BAtNRyye0v6YnFl0XWWuAoUrAr4qNMj/cJJmJyNQkz41zVYl2Y1XnK3D8AcLr/Md/xopHsZj8EXY9PeREoy3KZ1QwXlZ54EBpI/7tK1TlcMogHrfGT58yAiTaP4pRgyNIVViyQUL9E3vM+oJgfrOn2TZFNk3BH780Ez7ym1A70PrIjMAAVo3JVaJa07fh00FgL/MxhLRwMMXHMbRoI75AOLQHhB09TYs0CH/QI9glXPp68WuUQNYlYQzEaevu6lNxd0QDq7QpzCSq6BGOEH/JQsxjwXMrPXm9aMea/wJ6vHOoRONzQHG6lOd1E+K6+IX1RR1N7FHIvQcIpkaTDfyHlVR6DFKdFA/dke5CUL4KO1NZ0L3JcWBJtgejQLwqvPu4mL+bpVVf7p1aNVf/CbRP3wE5H1016JIRSdsSsziUJ1uLvXT4y108CZPWWudvAnnJrrn18maosvs3atSv/PqNOS7eRYmb1uLsEAVN3/Tw2UTxpk0ZnvxSgj+cN5RPfeGzDBc43qizuYNhm8aw7qG29ecb10fxeovyMnlGY2Absq6XuoIYBC53KRYghZUHm/hvHkMSAl9lRfJLXFYoG/2mKXisf05i2/+wxJ/CcjFA1rPc9dfhdOozN5Ce+sByT2JrGxFOoTKm1AYWxzifvjFYl93tk8kgcXj+zEl66Eopo96Oztw1ni/WDvYVD4PXmr3bx7gZW+gppmTIVusBtdg9U7y++gY5est72pqA5SZCp62Tg9MJhF9OqX6DIrTx0fQIoh7hxF2bly4yo+/6K7p19Pn+Z1cEnOFeFzSt8eNd9nrCAOeroCX9ldZ+UQxHHE4hQE36fQpARixYhw7GOQMglPLx/rHyFM2mo2tuW9hQSX1G+pgD8zfvHft+/5I+xEbfkimMLW1iiZUTr1dtVOW6M0jmcHZEh5/WQmRG5WGRhUT3c/6psbbzBGeDooVsym1KD2SHhxd12mIE82SO6YYCCdBT4d6xs8oRGPn0PHDq1FmEGIVObGRGehNdyskDzjORQb+D9nxlMseS3qcjO710X/CrKQtVMtKOG5KepNfOesy7aCBxZ6VweEsNEZZm+Hb0Q2Mwt3++iHFRu+QqWVEv5kv0vxPXTBYuv4amdIDDdOGZyT3H34/9fplkdwCJCRaOFMnaY2tUKYWMdM5nxQUA+r9rUBefJYoZ8t4XTUoDG0jydTDejlRqG7XwuW0I5ueW7H4yi97c25GX8cmd+KeKK1W+mOpk+Z9W6gonu7jlD8UTTezjzrPkRRDU6EAsundqXhDRqkzbypxZGo0YU5V0hPbunFQtneT6UcI19ol+A0v0eZOu6u7glH4eR2whrBSQVdfFeti7QjzoapCCpet3MXMzTGL2BXF0KcJnIiK+vSRPbvIJ1VHBs9XCWRy1SnVWbQs6l5cbm/dWMba9e4lrJN3ZK+a1oC1NAigcJ24/ysWiTFaXTmenv20uKBSeF44yqIecWmwwSWRF/1E2rIHLjrctIxunxTHSAvOiu6Hi/eapP5EUjgkv8HPOWorCg8kVatbfWMP+tpBo/wzzaRV9BPnNuT2kogwnw6z1mr2nHPe4TS8i7gF/89YOEAkfKyHWFokmNj5ooUZSYdlprB8GB70epnW6QwXkVKB+kCXnNwUGZpuIMTDyQFEoRveEMkV2EO2mUc4YMNJ9N2A35S0OrGc+d+I/xYs2032y1Zg84lG5VB17Xe2tW99n6RJ3b3UXITG17FThYoLS2U2cHV/pEnC+Kxmmwa7Ft+scOZogo4rndYTT/uivs2ljSlGNR3cVArTw2qmYT0LwIuSDKCLgod6eQSK5xefpUHhq++R+vC71Mew9AOb3fOZE6JEWyySYoyvn7dfun+etZPRb6lCsmLbv6aSDFEmRfSLqSHt11sm1zpXyO340v1fxrcnZuOTo0M+ibvc5rtkIzDCRtAIHQ0zEEoYemh1DT1g50dF9J9F6gTsZxpgpYthiZA6QCxbOPkbFgm40iT0WD1mSW5gla2rDCHR6aup1pu8lpQIkejIzxK0jDN9scylPj7D4CQC79bhM1Et48RDFC9r4nUjYdgFKwnMtV+hz2GJAvB38+89pTvewUHB5HM0A7ERL7YDmmFEOwaXLSUVn0WZESfSOPX6BmrY1CqnXKhIyGtOFTUJBVgO86jynmdGn0sHB++pVkfTJCUw3/cSF39XCHQvYm7HirAIx0o+SSog5r0beO+pEbLpPNf7nhLxObDU/1DHxj7Rmhsom7bVtGM2iC6KpVvWg1s6OILRFbkEgT13tqWSj+xuDxLhqlZctQjuXLFzVlCuGhq/o4kTiizm2LfrPkrLmI4F1QRePCAZsob8dzJuqbo2Y+dqvieOAPgBc8J4roEoBD/91mPYVXBUtqEoS5QDb6PlVjgNYZZISL3G3D5nfXTVul1NBtdqDU1rlCtlpBLPcnk8X+2iv1u3x6DgrQxG050gUtWqsjmKganU5Tfc0T1DtrBaV8q+gDz9W+aBd2aGpUAqqvLx81F/uOcdnCXfRVeCDU5EiqrEA8NeOllnD23TIs0dbE6ueG6gNZzP8PMyaP+Hp9jfvd1Sf70vWRmGRNmAGvAa4xn5aB5geCWNfLxZU3COS8o2Gl0K3PwSEFhhU5SdzwH4DzHw7qBzwoHJBqU+Vc3uqXENLfVMwj2mBoJZOzrxAiP46MRaGqsvhtZCPyNqrZXSWFqTGN/voQ2NaCUQtAJRAzHq1MXTOH+V3gJjPLShZMrEKuv5kL7JD/XthmEX2t+9m2s9brRSB9t5/Rp+T6qj/B9WDG4n24XxIL6elZ/k/vShyALGdc01IWiuWG667cXmLzvZXHe1gtVHWVuu3AVDuv4v7ZLD2wQDnrjLLDPTWWF5CuxMQT3zcSexPo365umuH/hh1qxGxAemocHIPz1YqQwtCyaYXU3v6wwNfIIVWmb78l74QKhgwokWb+u/tzq+lc77wsQHDiz9/T3+nGbKtgtV0TofWtjxQraXZPf5t7GdZkgXQeOLr7i5sqtQqVLNnG+/XDVNKg9PRcW8o3PDGZ3nCASKQuGB4SxQnVXpA2Z8OBC8aEeRnqmPPGjO0FRApWe2fY5fC/EsZWdJLtGYXbTzSxV08Fpnr0ocBjCMI8stckYyULI1HXjEpCsubD66c8uFDGljg88uRqCvT7F/eHLngOvVmVgZ7RTSO0s7n8GNCPfPEhLQ6KYWy00RYJI7toEz5mgxsdgk6gheqQn3FpUJ9owoY27oAIO+y4XlLPVj5bDgjP9NbgvW7ynPEAXq7xeUJfUQiWqRSyPlzas21nhzl1vbCNInF/7JxqAsf/z0zY3X65Pmvc+0UgmAFGAiA3cWaCYUGD/8JKNqrS57JE0sqdLSKA1QO4eOzsorrxV44j9z+nFimjqW8IsbngkciRnlM9CgenObwfeyI0WCBZQYA2htGPNaJcmZvcxkUhZDoGHeNpB+o01q9b6+LztQZMYQRmP0WGxNvgRXC3gP9DMaICqqJtX1piBscnqZgXKs/BkpRjZttoRYo8ENh18CPQGiIOiMXHylt/QI+ydlL7dHkcbMuy8OEcxa2UpqmIDj6qrJEZ64JlZ5S7Y5ScxPytvZm4x3cAQyi/vMvKpo4smyw9k11HrhBGwr+fQ/MbAq1tuwrjjsicuWgwBisfj0C1V6gdHe5XPcVBsCacsuoCv66AOnA+hp96mX2PSvV7GkZvFmuMEy1a4Mo/SPMNiXKy/zXfo7nI5krsTfOHKIkX3LbfqxxYEByqlCaolHeoawyN3IR7FqlBHdhFL0CnJZaNN7ferHQtePLomFk9ljEpOt8W8VpAEdzrcFSuXCALwVFLoOBGmkw9/THsoscZgAceXmCfBrklOKUiK9+e9gdRav1WW2zT+1AkQhD5NzeVqaQ+Wp+TfggAK47E/QgTelrR/F27YyYxyrktYjBS2Ba+iZO1h++4cdhiT9X33o446/478qXRmVeFma8Z27jnt/h0XzQMhynb244t3lcahI3CtpR7Gc16vw+Ta3+76OYs3FmXEi7cTgYge4+yhpWJ3wLaRNmh6lsmj4Vk+kMkc0h8zMmciWIgeWMgFKTXrFLnlGfEd5fFomZF0lE+VyMLoe1svukuGqmNR5n6BcZ3dGFlWfqNeLmmFsXTgCCF3DaJrS4u3mBD8nGdwnKV048SGxpnvSdm/coaK3LPbmzoPebc9l2p0oXI/yoSbZIX0vvefVJ7ltEPphHPh2Gh4Ots4oxH0pQ2X2caneUaoni8zYQyp5Q6vX2RCKNNtNZ+/O/miIcCRx6ULs0uePbknfflQ+8edH613//mj87Hs2kWN1QehOtNuCnpQOi2ZGL3Ppu3qeNH7V8U8fEftRc0ic+rxlnG519hCb2vzajdOn6IUgIxj8shtJysuypthIJJTWhzuSU5Ku8fkWdkHn41VmLy25LwchdZ+8QxOP7bKMD5YR9RU/fE+wGtLqiljFJ9aeh66y9hx5YNoNmLIHalxQ18CE+UB4H3u5MW9QBFcZ6nUZS7V5YZbpOYrwV8JPxbkQIs0WeJwSaE6X0RKu21K+h81oEt/LCDL9GYBZqgbdSK7u04fQq8coiJUSQONDrgONbhJWmMKRcCKP3OTIDjcTHF/z+s3U6cMGC4cMkSchpkVvlqK6RdSmKN0Qs6Aas2ThS2qE5e0COPSRbP8yKuhLNKaBJmEl299lyMFR9Dv5kkbryOLqjaJSwvPCl+WMhC8proQEWPXDNIfiGI8PV8euUf6zxDriMpkOiRFscPz6tUcOs4DQXkdwm5ciyIAvoO9CeCdTDmfBXgli8f711MJu4tUO2EKxHA9Qzav/0Eze+OeK2nBxN/6kcvixX/YQc3JmxvY20WDjaM7FMep/RFrGYBwb9X+5iOoueC7i4F5OwGKJLBYo5eWrgTh/UPbUtETXRU3HNPn7+9YM4C7N1cV4D0sEztIKNU30E8kvhHbtkaYBogrO1bJ6zW4OHcWp2PNOcqAHBaVa9PedWjVS1U48HTdovKK/Xq67w3ZXB/6rMT3bTD/4ot4jjD5B1WStEg5Ti6zHcJFxE13XOkO5QtXAsV6FRK9rHFtG6ycFY4VORvRN+2o1jiqmfiJYyngYeJWxvqeUUOHD0h4bE3WKpZGtRGTEdUaeYUtFOpAaRcFtef3WyKC+1puT4/0p0XqhK/JMxGBlhBOWiSCjvJVD/kwHyYBaYeD+FySkcrfPtfX6WQw+LuAtoAOFZAcsgp4nS56U4zUiqtjqksQCOWRE5W4Q6SqN8AwvHQDC/VV5dRxdmt/X+0T8vt7+q+3sSEOIxEq2ABJDQHQlFTGw8ZSsyu6BW62YhwqNB2DEDKCF+nYHBXbFdx3ZCId8uYIDFX/wKhtzyZdIfmrcQ4RZPTuPwBRmM5iGnfzS8gSfhOS5rc/rJULweRITqHqeX/ZPAxAsCBO9g/lv20G9+FZTr8vsN2UuGYuetGdllBcu7aBPO98XRXwNewaCWU53N74LB61R5DbG0qHiQ75B3cuOQKJFPB+OTqRwYzSeTuiHMIb25wQKqZP3WQ/JbcReMAUZXIZJLnqTaCN7599axRS2KCot3cA7RrjIYF2sWbDPNlb4j5nTORH0/ODE5L/xxn4ihYrnZXoouZvW59g4uHjwlqehBMX1Z0dE2rK1TnAHkIQzj9v8eFi4s9f5CT74iX9AFBwaHArwkDu/2Np4r+VmRJJjDSjiLXKInA43X1DG2vyRS2ryVq64qeZ+HIpnu+Nz2EEFq6hdWuFty/bcxzknT5Q1nvFAOALVVRDbtJSctO+aZndiJH7fMFg58dWGyNvWFh0yk1LobJIqK7604TIvvDyaxS8UxF1NBnYwjDQdJKlbgqqzaxtsg/T113/dMLR4+xePEhXY37gKkbUKPpTKxHJ8bdXIrBrLLPdC2DoAqsXxWfnosU00lnzRxDZ/Ww7cP20BPmgeGnsYS87C3o6teBSFbu5R0L4LP7500QOzf4FWx5A65y5I4C0sLo3iSYUqHKN9xr+Efz9FX5+hzf1TxrX1ULArtspF4dqE+SiMYPnllkszWjKikSKWHnBXtD5SjkmEosM3PHEQTCjOednnN6ztJNgacKUQ3Csm6nlYqPo5T3C5UIB56CFQhJelbu9Oka0ZR62LteM/SZEAIxiRkpXNREwSRGNpJ+V3+MmPBIylGRkj8JO99cqJORbA9mHR5/66vDz7j3c3LeM1BPriRu6tXlocD8rsAtq3U4wPMo7VO91whk2xyYvd7veHvvWdoLUVSE+KW7d/+zyAxQcRRZDyrrmfToTZbEmBftjZVmRup8VBwyHYWCKvy+oQfOkJpCqDfacqKkt0RRdNwEn9WhmqQklHUYHPljHe15ZaORaoTnxz2h5IY99WjM/D0nY28OwB7zwfuQ71K52KjMXrNvv3UZT+X1XE58tgKpmYwkuvXefjRGDyIiVV3MLYolux7FD5G0CB8C4zoxDob3pkMu/DxZbooWDThRKxRWBycIzvBJsQFSX04MmRkimNsCeB2E1OlSIlORblu+QGEMXsb+43MT6f1IlJI2EfBB9DHgAZOLbJRcIINbghVq2KNOCau+8woC5/Sp1h8sErx95fuUcUcRT+rsRTn0ew0dWMDpQlV6dCbQPOC4cXpVUg29rFfqvzJYM9CNIYt6+9f/Q+9mfqfnqLzvp89ze6XP67xkd/gfqjOo8rUrMF0QWDsrSgaSXNZiY4TrDsUgnKaqOVBGGwZCZ5OXlDP4JtCgHonbfD2uRUERzamxCqcVAbtXkvTLQwQcDSkY8ooppty26vDEX765utGqZCOGb3N0+VdyNLOJvbxJuHnJN2Q27r3ZiDNtTCIxft2n5V/0m6eLIuHD3xCXMY0GnnW7nUk505tWCjpJ1kVpGf41QEIL/YmfZxBXEB/nirx2aDQaJMIdYxyVLlxYZF6WNJhZosw0yKvCnN9zg4GJ+f5Tfgl/+pvfwd2p3L0g8wIAtS+UgV0C/nc4oDY5XiSMX4urD6VvQCc+u1DBVEOVnBH3rV3fq+8QWvGUHORaArjg0VjgC37H4uiiGWK+hK4eSbsha3wx7o5ff/igaO5UZWxQEaexb6QcSMTWVUJUcpL0djbzuYOH1p6Cerz/mB52LPRabEdycBuTU/nI6NIOfr1Tn8KHQX//L7YFlUggj5qVdrjnmfu8VTtSecasrFy+O/FuoGUf0uruN+uCjoT1dThq+kKrD6Vmrhk0jhVqCey6KEKX3UsWOBBuuAglJ1pbgWKEtdxt+VNA91i2ltg4q85QyxipVX8bRA2s6TJY68wH7v1cMRCk/tU4nKqjt4J9p7clMmOGdU6gh/IXLbSF1ZnTnGNtubUbV1csyiP3YaAnUDRz5PsXI02h29fitG582s4n4z1aK9+8vB7GisEKjbnIVjtIsitrrhKF1DPxqWSs09yRk6yi5CwQzK0JJBgolLU2aYw/XGtrSBBJLPxvmuv9Yk0gqn5ube7FKYXtoQh/WtCLViJOihOsWRrh6MT0yGMEdRvE11Lr4kX6zs7GFGaaOYX9VEr+DXkQC86sQY5o87f8WiEjQnmyLaamybLIki1Sqzdh3pfcH/ULVs8bcdAZ6fvS1Saw7Qd5cj3aeTJhd8Lpn37bQ52TQsDYuCFOE0pM3uQwvUBei6Aon4ht/JC9x6G2SBaspSQGFg8r7EFDymY1ofvv5fkKCMfGkQG5tnSVS2C+q6gcboWX3k59i3oQdZp/F5Rvc3gZGSfdJEp2rC+71Jg3ylqlRUnUBNigrbB54DdxmegQE4EXTQiMPW1zRyKABftNaMFIDhGmFBf9WmL7USpBnwuyhBtEYvDlIkb2L7kq+2MWFNUZvPsl79a3vlaJggU5n8nGT9PL7eP0l+a+1nEIfdaHcevcdeREq+RnS6TT3TKvzwaJHeuam678C1b8H+aj0Dwihc4kVNkvt0x9H/3uNAlp11CNpAiDltoEvLH6kF4/dLXoPPjAtPPATyOV205+8zZkWysXND0JFi2rfMlSLV3c/9mud4BmO26UFD50gPfT+X1moTX9ZDgK//rLVIPxLXMBLoZfZ2Ni8I3keWrur8R+qzAyDvArnCRCjgayHrVGF23s6QFQBot/1SlfJ/6FUNt4P0tvM9hSxRH6wghMdnzawBoByNk+uNY/+ZmIVjzSjpCw1LNQXSDgou3xWdbHXsR1nLVQxuYow0pZU/lJQKyznli44zo2BpQMhcgbSN0MdPeGhiOoY9uIQFMJX3MjmG8fLb/rEwDXFjN+PALLfzyYBszhoHc3yEJr3X8+7twpueGu3CjW33Ruu34rjfvftECalgj1fERnpDypAp3gEpolpZaT2c9YhFh9oqHKAZ6RWlt3wbHRUvB1ZKZQflqIIDrYT2i6K/vcBcAyshq63WleiKgSiX7f4+akdIgIwSWGzefBiihxlqNjUfV51VHcBT5+EeHsMJxijJMxsVGcwoxFLqdTgnYW+slnLJHqhyJsZyRr3tqQB1JQM6s/rLNlExgOht1jKuw1rN2vJ3ycT/y2IgU35c6KRQkUrzn0hk3HV5IVidDkZ2PfVU63xinvTgc2V+9nzmDudUSng+VAgX2vR2zTomZVb39TvyFDNQC/U4e49gjBT8IOJINX2Rz4YuG4nRRFKPR7UywkfUPAl0UYleJdlYU/Far9dmf9UkrNZYMf43dByPaO6+oKGf/+x0Plwfh+j4kyQMCUT4nyZETB7EfTPi2QKTCyXsgyjvFnGv6/BTK7e4gGmbIRw+AhjoXYK2G8GNKXyyvcYEu7G5Yk7Jd7dr8nXhGpzdyLm2DvDr7z8wHCtR2Rb/XrK0gVHlJelfe6g48ZGx7cVqOoM6cju7qxCm56BhQJhCKRO5PSgWfhmt2w0BJoom/GLxmgvPYK1owmsCp83mu10RGXPP1RajPV1hNYu4hQUf6ci73T+CInnNfwfjR4nqrb/jWQf8/REXLQkY2R36jNh567hnyBemfUusbfR1DbxauXaeYGH+2GIUAqOI2SX18An3Iqr3nmPYGdFFT7j4tgaadP6hOxzVrgEbpC2izKDP6k7q6VUe6pm5Mf8ahNpsA7EWh/2QbRtgw1uWa73p8rAXnh/3UvepwFKwZWhLzTi6iiVd0YkquzPaPljwGNX5+PydEUZspSV6AYQZZ5/cynpEYNI6y2InQMxIaaVp7hCETKXnXAmWhfXjxIzOe250Q0UetfLm956/O66WsUzErY3e915Y+7MZlZRCNpBSZhITTjXlmVCSl/PaRZWFmi927OQpBaHxJ/tuAZeJAuU8wU1z/V71TYkw+jnjAP01coRMlzgRBhSKeIvA5PxngQtFKsul1wi+M8olf2oEs1WE7hBJQg8JLGoQTX24HXeAI4m4nfVT/PUpQpT2LSSUFoonKS4rptUF0Fxo1tbRWShX301sp8ugcGI0EQKylNo+6+zfG/a0XHHT1DCCnNhI8SoN2JTfWX15HBgNyE3LSTq+dWEO1EN/DSTc32IcqUDkdZnSBJkvRugSFdBWRfcZAbVjxW5Awu3iPE5nTkFWBoiF4x6nGwDtnRJlYJcyhs3Z8JSo8dFPFiAkNBhabguPNNO7/J1aH/1kKaS88Gf0qbimTJNRKg6+WVPdgZOxy24MIepzI7t4GGZbFQwTQ5gmRlCXx1bj4Ckh9bovgeabTKM9le4jsQZ6ugT9KC28QRaRCLq78tBdQSLjZyep4diR9lowbAMTJPT/TZha4j6bJMasbfSadP/+3gBt3j8U7x92NdrHX55UB1+p9uofSPbjkzVM8PEyz6A+VkQ+KTy/qTRHLWhCOP0AyLkc/RaxctPh4HpwOSFZqh4Zl8jJRv+PVOmr+O8HziBq0y7z6HiO5bTEbVipG+M/btKMUFQrh+WTR4tPwmjBsVMTY6qOslt3OF5p6s9rJWH0T7EU3rp+AnQDUR8mjn0ebiRkWzcLQfrWDVO81QGkJHGpV6eWRTj8G0FyA8rq9gIiYJfhzpjjGraJ6OWimOWVSMP2FtJKpvtcZPSeS0znanb0WTlwrG5jH0LgdTTEVmHpqoq30OT18f3OOxSTpNAliSc7PEGe1Xm04zDSkJoGuNEuD4Ql85TaD5GINPsEN9FBQTae7xxuWoIMBJo0NDIpU/KwE1QlW1aq1IGTquEZtYlB4MSxd3CGWxHD9W1ubXu0omv9tePM46M6LolgaB9w+V5joMj4MHYaceHQJ2gVAryYjMc07is/29Kb7/Lpg36nD3N2feoSDbbdTZxWtFSUhQRa+XgomfcYDHX+vbZ2IphrQprNfKmRcD5yqYjIgD5jdMMtVBsTt0ZqjV9FeH67XcrLCxXIQbyehMeTheM1n5Naj+VqqPEc4VeuT1qVv0OHAwt7nUYwiV/kcuADiW4jXAYgNzPWzinRQRD9cOvGj5EMtPuSBHlHQ9HT3MZRMiXE099BGiZggVt2XqCTqmwgh43jau5uLQ+XjJR/mpww1yxaol+isLPHmti8uOJoUiiN0LIAAAsAeAMJqQo74qA4uk7IMS0K6zFOsz4DqDUIb7sxQiTKejTosimoZMe/cdb/uLkgEQ7xmPwvGGa9tglliV8S/CHaroFuIgqiDqQT/mVQiMQ37+cHkVZmRGdKysq8drZvpEh8l8PTigxD59MlcVWJk8/7ylpXuSF7D0pgVuIwCt+OXPaqvPEwyrexJKa1+FM0YKg11TKqTTTNyWXukwwAMCH1wTMU5Ex05JkoxGL1pGNQi50OxfV3sYemZGhG6jT607UC1fAQDd5o/ZllmTvrhHMTZrrWH66xUvb0r3+gsTXT0esZmz5H01keKwJvgXyhk5tIKwpcITaBGOino6SogYomppvLqpqW4gVXFEWmNvzBzB198HHFUrDj6egaLYhAqvEbE+/pKA2jVtD1zQX3R00esXxUopjYqledBVHKM3kbpM7lvnDBe0cUAj6hiVgsXU1idLdJdmB1n+NuT7QozlES3p6Ukk+NgJPVvhCBhJRKTYbPPQ/Wlrm4YwGZx6iayE3P0EQG2YJdh4gmVVpNNIAheCmwY8dtSU8T9ANo/FdFE85YxTFOva1MuMMlNCeUY67VQnBbFdB6ZF7Ag/b57SDVhhrhkOl2IvRTXBlqVqWmWaRndkbAC8Knkxt3D2o0+5kcEKyFHY7gqbeXbIKYghTmpvfIncWuV6bfxe8wvvr3de3bqfgkFXp8UncjOHXQW9A3nrNWrGfogjgQzlte3uzn2rAMQCDoVeLA2+izJCySlYtsit+9RLLw8k8ur+X6MKsS1YIXoKK6KjbY8kQsT97kvIshPbGk0AjiSJ0iZgQ6TLlKnHxr058kZunKK3JSNOIekcog/13IXn4aAdygoPowWPSlDyzL5SxsObP7fvmnRrZri7GvacgPB1GloLxcVd9ZKpD8AulzgzAqu4S2E6P0A3fWNyUZN+sTcWwRPjzvfB0vhNQ+Ja6l/SZ6V549kX0amCChfpdwB6CYsjke2oWWdkV9AMGcnfWFssVDjWV8VV0vdBAmgxsom7q6Ie6HtBxxwegb2pbloU7604rUXlOEoee6Rz+fNO1zpA4XmkQ7JUtsHfyRErsYV2wMv9q19xiKVcqcs8pazTdTUXPLi0dX1wH4zXqviSam0pO1BVNc+WgPc68Az2ksE7NxqnX9JjYSQ4m1EiHjffjtEAogIKO39gClYyu0FA6Ft3X3dZv9W0IzxhxDsIZQ4yuFdP/D+fjjNzyzeAAohQZLy1AT454Yo62rO/4HduV9el2QSL6X7Hph/onaxOP0plO7M4il7CVSNOcDq64ewYSQYveU3fnF4stiq+yOGnS0tiwji6r2hm1ITVkBKHKnGIu1csTULcwMlXRT1egzcRXYvTvgmCTmLIN9GLQeF1J21i6nHJzk8OqY3abbnIRvXt7BRn87yUP/II9ib+8648eVXhVBOFRGcpvcmUuaMKc+OxUzaMXzC2jppYxgpamgwKY/w9jNjY9dlOZW1sod3puKIz+ulmqCdRt4seWaqedPSyyMgpr2YxdjjmH0Ln3387wuNr6egVdC/OOeYKwQfxWGu8442Im3FZYfX/K5Y5fB+XB0vkcLPBm2lBRlWA7CAzLv67AH6Q0KngPhNhaPl4tQvBV+F49won52Ylrczk0XMsCqji+bpPv7gIkR37L1SH1EzRr78x52NkR7lQTnpRJmNjAZGZM7ky5om9DNw24QXrILpLMMcPsGzBxpj6XnIOrGiLD+mhG1T1s4Oz+JX2p7Elxdwivczf2bXuuR+YkXapju4XD5sACLEvt9xLri6JGfk7NZCdL0N4Xwv0zsdgtXc/GLLqSYBKpSnQFKVZfdOvRZ6xxQoqp4FGhZ6rBLso0xmTXQ4l6lbDZdj8r0frcjLlYeQWBZ40CGvJIMWKspVLxfwX4nPKJo+5eC5DW1173tHB5kxnhs+DDe6CULJsV3nUPEUJWUHz3FV4mEyYtZf8e7pvqxBzuMq7F7I1pN/PX2QOm/HPjyvj9oBwzeMqKb8HJH8iNLniAqSPtrPGypIoazBU7fw8KMITYjwemX1hyP45FlzagB6G1w7gbHdGtAedQWpx4rj4a4PERSDiabCZ8UyWxG8NRMAEo0GboSPOYhzd0bOowt6G7xFwG9pwhMGF4gWpT64CW2pZeOIBWNY2Y+BD0nEd4+LnCSZejBtBzfxTYTgNg+iRAOysVzig/u7kXYk7jGo/rYLf3E/ID//Df7izJnhAR13N8D1U+p6V5XqWQWWQE43tr8KhZMpfmc0F4zltTNmWElYfr7bqNtDXrKKE1XH6hS/YDdbO2WEzecXzDbdA4g9BNUzaFHzUK51dYHYmvEZ+uVC7RCNH6y4dr0GF2nS12/z2abz1ZX9fS97USr7Yqw9LFr+BpnNRdcP5sMorK3WMWbsyIJ8k7+qalW/kzD66OC8neUgYS4WIpKPpOYwBC2QOBhQChehYErt5kkQkttk+3+rv0vnIvo1e6Onro1SZW683SSXfl8bRopVxb0TKuHW2yWNZ0mRFPa8oRACLw6GXBhRymuqeaEC54Fq18ry6v555ekkUZVf9X4/apFfIWPTDNkMV9FKYSR2CrikFlK9CBQDhO811RJFac93jzvCk73yU+eTdPy6ld1PmVWmwhIn1DK5IGjKo9FPVt64XoYCL8kY0Ll01NXnD5RCQjMJiNFEWHH62iTM7VuyNtYUCHSD64PMbHyH8ONWx7esoCaknN9GPMKpBVeZYrNBDmvkspbK54zjRg0pYvk1Dn+np+QO5uxIqnAYlmqTdrWSSzuf9ybqcfJo5LxdhPppEdCHiQe/XETCg3wiY0alK6dczaQ9fFJH3DXznRykLdCjrZPnMSAvmYaBqkkAZRbpaKHQe+h4egjvuVYB2Ij7781qOyo+Gpz1gGXGkvm0asxB7Uhw98I/vKRfnGM5plZ8q1ISD5SbmQQuiSe5/zBCNeHCX8muE6J8j2ZpV2W2YOPxWGhaw23lDQ+BLjPSrTOh26MXm3gSJK6MMyEz7n1koPHWntl1kvgs8eR47gaYMbBo4g+wXmi/OXnDTLSXuJR8IVB+uJTXfEDThwHX4893HSwhoSygg38FEATi5jN18rpvCPXU3m1F2ZlWMDytRxhMPz4iB2IvvjgPKns8MaIKd0bVRM4pnRNXrneGBqt+ZP/yRDL4uGDEDLD4xSagToooRqrzup4NmFWLFRhMugsLNYutzZkWD2J2g5GJZnmxCF5sCIHNScjudbgeI3W/e2NtgVHJ8/BH+GHdQF/1D3EwN2R1xNzVLswQP1G3zn0L7+MSl3t4BzrScLpqizsnx6eSigAAcUjuiCk1hlR/524ETTBV7HumPgmiFKfORmm1sTtVzpJ46fLDgNK7ob/yQSJUAS8q2vspcT2MnTnOHHqkBoo5vXanodlXiY0DDWkWCIHnW3eivEindsAw31sw1AC8DZrya82XesZarV2+f+WgCdiF8pFQI+qmpVBa3SSACso4DWim2Op4pR8XmrSPpw0h0biEFRZJjOXKllmTPBTJk0ot/l+vayNMKWS9ZZ5ughF2zsHOnTvz151/aK7KpVyK6JoWkp6UcRLnmYMq2LzmJwxGNqHcJJW573jiZqeKc4MCzWt08PipHpq1W4YmmL3PD5NAyDGBXSupmibGGIntOGEF95M5iDGdwYkeBCdYnKbPG22DNxTe0wyB1JnH/pnqA9uKLUqxYIyiQE5NRC1WgWIFbJ8ffFjDX0uNoV2qVvBqeyNIGORreRa8kfspywiXhQN66hhPPQ9aPE6Ivwp5vFIXxTfC84E/DqRyT+sOZevoSdQn5yilpC3nnC0VvDxNEcbE950hc04WUrqsPHGnfSyPrW0KtZx5KQKt7FSSrchBYRF+La6sxJpjcO/tbNc/uayB8xu+SXootgvWkKNSAxJQRiKT8YKnVka9+isfzbR4wsAvVku3qfLJcajicRqEhJJrRfGzXle9iMNH/jRyHHXWB/eeLrzKImEcyrnO6dkpdH5+VI33OmezjyU/qhsk9QGNS2K+CWE5agPTRjJron1dYUQFtPNsagM5gi6yuNMquHclgGsnRl3CCUX+meDbcDucBJVPp0Gu6zDsF04fQ2t9u+0v6DirkROAT2iUnV/sQgtYcogLMgRyCc9W1yhkrDR0lNzrYZSaNpCxBOkly7eOtKwRM35ykHXCqSBU6ksfUzJ7vVZ/COmT21sSvNYSs3xuHkWRT6iDTxfjJdYehbI0E70Yag6Nsg3ByQ6lE+PfnIGwYeCQEpRbdqUexOqlDczSw7rYIeXpTmBGSWvg+1sOaFGCvnzfV6I3ChXFMQ5x+xPhRfApzlIf/kHCpqoOwg7NY/j+jguZ2G5mjw/lGXhAnPZGslaULgVuUe/CW5224DbIIiruc3dlDKXUW6MJUXdv10GM0RoCVmyzjajHQFhoQ+jEMowG4/ZlaZFpCCfGelUMlA4tcE4BUYG2t1dB4MFkF5xF7kVI2Wr9zsthVaXQ3bXgDLLrw/y7MBWjB+ruZopN+Cs2bqj6J+VJaqSSvHjvob83oh0FcXJuw0NDU2Tz6GaHcKEk2VDgy1BtNXU6YkflBhgwiV8quwYnHQEX2fqJfkdq6healpvxj8mZ9S+VahDU1mHOixlcndiFS43GZhG4U4hrEuOVigC4HwvktnEK2+7iDAEJ0alD6VH0sV85plEzjSinKhdl+SxQ9gmXwV2WrldBLo93VxbPycg8uFym4DgYb5PAKFIlP2M2x/Eq+T7nClUUN7nhqVeSgV6+lQi9PKUFqeoRiaUFrdwb2A4ZTU26UgGR4St1hLUEb9iRrnHx3hNup9Y9Mw2RSMpcRF2TMqQp4ZPoWNpXMlRvg43iJPxAXF3rQDelePB2dfUyXkVH0QCQB9XDfUQER+2Ua/+vV1UitZ3lGMSqEYlrgyinAlEyHvUegRJSXjpH+3cB+hLsFEJC38A2HdQ/yKEJ3T+QSv4hiVKQTE1U9THjvqo60mUVG5DzphF85yD+3hZDvNNol1FouRrYXwUe3L2wtVrjZ1c1JNqfDI7kQoug+K86OE4hwmPBQkjAmPOfO30Pt4NPZ7UWpUEyRxzeJs3k7nzXnl3OO/FbXvGVEN+7uab9a7J0h8vyoIYANvZG56X09ZSinxnqSUv0GRxhCUemQgefmMGJ/dcepVWe7srKsSDGMnzVgfXmCoFcLDUZMNLenuS+8EX4CoEdMuulKREQ3JyuGggduYAZtq6UtYdWD1pwhhD6/jMNNv9Sa04rByjiYpnl18gH1ikxodRyXjyOOfX9m7H871svouzYiGrqIz84SvVsv9Q1P6oYdepawjIbiNM8jiGuTzhLGvrTFiDBR9EFGsDiaSMCpOkrBqx+6WA6nCXGuRHD3JaBc3vWlJV7FYK7Foj9dYfGEjovKLhxgRabmjJeeRIPKKJ1UI4vMR2S+FvYIPTDqptnPi5DfUgCaUy5FGo0KjXVB6shgKTmut3oHL1yypUG/D3G6IPmllFKtWuc4XrVdqBTQdlBfObfM9X1eDNooP2zwqp7Yt2IAoQqvO5tInj+KECj6g4zzzHxwFpobVF3+/cNPJEfaaQ4EYdwfc63AvoFC6dTjmGmo+dn0WPGewk7PUI+yzplsUK/0sP/J4HDnXTlGbjiLeF1yxSVJQMsLq3lKy9Y424YgdXTw89Lo8tH1eG5f1+3mqon2HLfm2VRADoC4C5wZzNCCB4rEvOd3usouisZ64rVI4KEnBCny1joD6RCm2PpiLsfYzKBV3nrxmhJPsbxBmwkrw6d+6AGOWYfChvXx5x9FX78v7h6/iR6/ih67jO/kAgYDxuwzRvVsWVm9c27fJWEzWK+zlp+kdT68vIThNaQrJtvxV3RYoGV2Zfdzrqo3LtRt4Oc9v36KLzBqcorOso1d68JiZRMOso1ZdR+e2KqVF5h6hGlTpGdqpNVtt11SYzjevTELsikEd/KAe+ILy9v420/RfwPvgpIkOsK0mxluqws1enA/YON4B1CrAhTe+k9jB/0HkCKrWTCm4cdGobcoydqFLQ0Lk4UN2pvZPvHlI345jFdV8Vn8HFKsHATHjd3QK8dp0oOhOwqn8oT1VYEeYnPLhnIAwRkWPc07NugXH1V2eTdeJGGbCZdUKeU1hpIFYlVpnb312tkO6rYrKqzqZ8JQzK1u64ymW3CpWKFAg8ZowF135MMk9ceBI7kbCY9vVloCe/vqhLyqRTVT0zMnNWN6k+GJl5qJ9QUZ9OyhdlN2O4ELWa1RnsAif8HdwDWb0sRkVJ++8TTuYMRZlxZ4jYjvyNQcxIFcmEHDd2uv5YSBYtmqwDE9UooS4O+uSCvMUg25fOXqeRT7LX4yiXiDFE30jlztUX2bxecmae9QtjEDVCigDnyiqo2ZTOwLe0nvIdkg+OSPnc1dbw4dGzWEltixfzNhbO5V26dvREv7aTzij1lJ0KZxnf0e/j74KkOdUEYITawovPkDgg+Zj4eHvVpLYoU7jD+WMpXrsEiL7cyYIglnYeA4M2W23/z10qrm51o3KPsFNJLzcUMlyJIg6HBX68WMY9BNA9uJPaTwF3u8N35dBPYV0q+/51e23nvvC1Heiv89/lIEus2slTdJzuS2qF+6vdyUhKPzMMX7KNYJM2KQ8qm7NJw3hhOtxUgyyFJiL3sgXmr5GZlWx7+me01Xk5tBLvXp9jHUOSTcVNKdaTjGMEVn9FnqSoSK40OvBOI9Q1EGuaExhk+PeXLYKTDmOiY06hUrobZE7RXmB+lfyzj3sgh9W6QCUfNCwa9+JZP5ecVn/G1hjm1gmhA0qwZigO375pH0TQiDXo/mxUlrR24EG0O6ym3yNaIV9np0VzoCQS68/bXXwej8rfsOzTqnWPDg/JaIZOhwm5avIXtWPD0iLJ9+GTYuVJvPgT9P/AnMgjDqk3awU5sLptEJYpSrQAwS1pZQuR/yPA+AbP8Utmxwjn1AKFlh8HghaIV9VvVBvM0a2xiozuQEhOme+HINMnUeqmpwslm5zcD5ivXtoPdm0Lnd3fbuNQx+u24V4XPF5m0cfS43f7StCsKdLqCwI6qKitDzGpDd2nv/aOwA9G/bjQfs21bBf1V/Z4b9BknCGc/2wUnYX0oSBW0nPPkgkxPPwL3LIFdwbX8vU6Vk34KpkZWF/raoEWd0ZY0PtbN3y929yNCzwOxX9/marR3hXFwjKHkpYjGx2seLgapCyGbnuTO7izGQ8bR2g90751dR5qbP8xLRcwDXCIsMJxltWwQoC5aaDQOsBt3cl0xuoTazO7EYaSD3UTtSolspCWpBhRXYUZir3NqRzLY9qbipIwFpmeIUMJBNkCvV0+H1gd0yTdE/T0l/GkPccpI34zhiRc7XFV64tfhJbpclNmynWZndZdxNC9qawlojNr1OpQA5LAvgR3v4UtH9ln4hDT9jwrh+euU3sQWeJepilpSctqapUOORklMa1nykR7/IYdynrpuE8I0VpqUK9i0KZYvK88NWIhNmbNR7WIkrRpshHjLvf/HxoV9vM9MWPL2gXVUyCgo+D2LyoohObvAzEx92q11XHyn0Ty4PenM02fqZRZXxHo/Z1YVWINxpQefsRYe3v8v8i3vW0zqx2Jh9ECkIWZCzxah0PumxGe15MLU/OlSNYESfMIYBmq2u5XVGHimqTpR/N+gwagymeCFpSNw13MWf+lTiLmLYKFtc0km5n2JXtOHvoK++09mkfAO4x6i0I00mQYh4pWOF0+YNvFo6Pntz5qYiXXu74ucnD80PHr1UqHhApgEGAV/7WTShdhoCLJEsr53fcN1nBUQpsiiS5k4ggmFbDaf+Pm0HiaiXj1Mlzk1+vc617O0H7mewFSKaOXoszuco8m0zq34cak8cWfD6laPRxtgY0/u4OBtywzfT3szZwVbRA1O18PQlnfQY5qxe/7Ku3yvXPlxH0HUATMo/6+M2EV0sCKw1kc6o3vdg9xOiAq/BLGwGXBMNOPFHoPNLwXQUznGiBeoqYa/vwcSJ2ThNMP2uJSW8m8OOs4LBXEcVSHDNc6ACLGBpdC2bhfYdC8EhcT7UZLoEBJPljjLOjFToEWydoSKXo4CydQsFB35nlv8+Ymt8HXiRl15RGY3vv3Tu74pz3/L9fTZSVZ3WgS/7j1KfsoDJ1hGI6bDGR+gkFkWsr2rjKWXoCksVEYx7UsT2JvQonjr9nJU/HciRokys5PRYu36lJFGU/0BtOfDyFurTfkx5WW0YtvDYiDtxb9wzcGGlZEc77ntzSG9RK4suIbbQP7aIDvMDP/r68nhAX42kqW3HUrWDktYJO+gYg2F14epoXgen62P/26adv4SewTquyf+cSCPKr7w1xjZiNO2GQBiAunUQS2q16mf6456Ml4PQ18K7ZqFKMqF3hWpTXoE6wYItlSPcy1sxj+c30yy4OB+vRt9fWRHFSGZ5G/BSfraGKY9FNpljbdLBReKTYKi6EIBhoEKc6R4tYgD/+PfwV0Fb7tm+z2UrTfvB6IZsHEUyvqH1//biVusgBluq4O1yPB5M/+Vhx723ygK5ez+djLljL/uz8BTEHEVVb3iGQCDu5XaM+MrkSS6N/QtvgEVC1RJmd0zAPjldwjW0AsHNSqlpIVb18uM8wBKzP54XjXwvYKUuQ152gwvQBwxeXwG1qUmGcq+SBekuvFbtg5oi0KCIn0U5LwUBx9vPJ92uQOgVzwRhMDbKc2AhIFTv3JwgQ01EMMjiEQZnx01bornpw6/Gh51H/U8HCpxBGukjUBovbuzXJRZoNu98CW1ucWg7BVFJJiHx6je22TQTv9jQi+p70XDzeS4rPCRnlBTr7ObXB5UIr0k4mpLoph7+5qMM78nwbhzbYJGxKy0Z9UH5S3Nlr7sfFeHZbDvk+oYXjvZwvQildbt1Er1/u4rnvNhvaqvUJOG833GPjoX7N49nkc0IzpOddxzbVTKOte+mihjQda77LtxrTOqqBQ4LriVGnOVa6vt2+rxTVQ0A3Hhj1mOFFwaAhyyk8l4TTvxf4ixC5FYreTt/qVPwYZghvVV4vRyZyBmfdD7FdFU5SVYYdDmBj5YQbcQBPxGxZqtyBVIw1gT8Mhhl52O8JRTUHL6XEvXNM7iwSWFgldEpoBkPBnq4BYdoJcTgj1uZQgYjzxNFzaRK2ztjOWllHW+HlWo12zOfD6yxHSkLscTt7TPg3hCAZU1G5ZnFm9cQhzqR5P3aFA3gM5XUn6krOHsxhNlXHzuDeAcdg7bxhoqqkXV7kWuTJCG3z0zZNkn50ckw/P7t73Pg7ZulOduqTfkng8r6Tvgqmnx06KXZxkn52qnGVwLylvbMkppP8Aj7h0nNNbEL1h97PIkt9HQhSCd7khtvBukw0pU5AK6Zr6kKkX2I+8j1rx1AI/7t90aiXotEkYBrJJZEopuMk+V12l3f3p5zVvMfQ1/BXiaICa4PGSzeI1PQ27SGpAIKFEuXJhA/MGGZVcJTl9T65WSZWqBcbi6kkZbixSVv5VifM2x0OKQMoVLkHtrKV2N21+jQuBxeOnwimQnzVVd3tSJ626b2Rmv24yrXuJC4HFyVN1wchgl092RIs31V/lOFpv12n0q7I6uTBROnAiqHwOTq67r+VRy/3a22rKTfShAozUBKrIYUM7sRYAlQobScvtnnGfRhIXXQ1j0mKeHaaJoagcNKKZacc+AQ3XBL92YaLkj9Px49+RqEgnv48Xp88NJosuKTm+2PsDIy9nIlaYJwenj+SeOLuHPVOKP54BpmeFbaEoCogWEsaL0+CLMAnmviKCAtLa7EByUsOb90oEtgJbad0JBtGpiht+h10M1ThiGSB9oKaOjj/3U60y6a2zKbfcf6KhBlfaL7I/m3uzZu2r9rP0QovWeASUJ3caLPR2m3cRgu9jxLGeGmqqoaZW6XC70KDD5rGrcLKyDbMmyt1DITZmYEbHVkgUkiWpy+k+DtNDU63SrWMnrHyUl4O0m4NLJ1vSoqc6wE6PfxEr5YoGdkuTlotgN37flENOOOW6b0ceHNgRHGPaL5PRg9d3gmrMQiYQXnspsU1LPMtEwn8V4dMBqsXLQp2qEQoniuTDp6yofHvTSwiKo/KWwwLntPWI6FlYxWpb0AbSqHF07PAy88jWzClldPn7gEyV720xzbTkp731CeEJV/ZnT872bI8HWEW1mG4weYWzPN9Pf6J+ppSDT27vWUeOVqWWrMrqgMKQJcjSsKUe2YJEExCd+uXaoBp6EGYd94yqlMnnBYfinW1He16coEawhaztLp3eOSSKEbQWb/vxTjKLnatfdiNrwKuo3rzWNQ4766aXxqxV34l0W/anzpvt3K+VNehWDSl3AsZoM+V9LblBacUpSmgl75HuVu+pebdat1QopjQl8zZ3RFLOLEkgBfAN0f1babk8MU1rU/PupfPJy2KvTvRuXdWKUPS9PLSj3NUFHYPdD9HwR9stg6nEuGOTj2Bcsjd7OYZUZpRoeT2JR9fMz3BEYd7xB2PJHxiQK9XqihrJQcw47cD7v+pIhORNNJJL0tU0EvIOA96mr7XcbBJmW231DdHgeCL76cFtZapRvb7NA4EuMGMWsj+l4WJQaotc1oT6hLsEK9DZdAC14HWtJFZd3txVYAQGsHSzmh6p57pOS0s7q7zXyVU+Tb4on1JxgQJ4Jizsw04Y2DheCqLP7YFtdRTDm6KWxuoYwKGEL0rtmNkfH7nvQmq/JUCFnOBHv5VsMbA2JO4VSEekrnHb82HsdjS34pVRuFS99DuTlfVhld3e7vtwOhRESmj9onknv7WuBrUtwRYpQkAZjO6U1fQqk0zb2UILrfyHUvS/J0SNmb/hded+QWY/nM2utKoDSZMaHoTGlzfsd4PMSDpWubG2y0c+VfQceiwJ5jaXKrjM9PaKr8Sh8FPLHhSexwwn/b40DpYYA51zHNSlBvnkxmDuXA+8e+nqSX/vzJ77+7nsKdkx6k2Z3FuBrfti3/pHptha03ABa1rv6Y0k2PTiS8YWuaqO8+iUNtISgHWX6SMJSHLB+J+0IgsUWYtW/zUhN/W7WnvH+mW/ugOp3D8duO9lB+694+cG7tnUGYNgyPPbOTs4OsjtmDAGE0q+1JVsIgnMrcZOpwuHU1cLuOWsz6anCXFng9IKTkC0d04u9HGyOsTqo2uhB8QCaurhVByomRtYd0t5ZlxF59ZaWrVW112P6etvn7jF10fDmgQ25AhJjeWDmTK+xhdI3ddhcRTpLxITd5J6nZW4sUA5x7nIPevqvyZeFwAy5+AMsucAEmHRDe5h8fR8F8eAaM80I+k/PqYiQUsibOh4nxBs0YP3O75REboaa+eHEkhd/a23PyuwwQxvT+tmcCHTDRKfnl925GZG3easeTfaps4K/UM6Kqzv/54JK+JCqpczkn1TBQSY4K2EDrKNAhItveXanVbIMvIYBcbY8oEb9UGbj0sElDRI3zPKWllhPJx11Ah+3ywo81aSC9yIT7CC9NNaW82LWzMw2HRDOM97biW/U0b7L32UltKU4OzbGEX5vF7QL0pJurEFj2BlE+fI4xhB2sxs7PtikWotmNlvF3+0S5BFZHtihQvv1YH0MwvmY8QVXVjoqqNrhVyzfKFoABFOUCwtHOPSg2qQMWKOdG5wD9ANDuYfci0L8tpbNVndRn4w4YuGEbGt8WJ2LPbsG2eB47BNUn5bdiXIouiHAM0C8tlUaSjEJZ9BpvJheg0O2qEDbr6jA8+HD+fDlwXpT9u/2SKcZJAWATRdFbMrySEDLjO1hZlWT1e+uBwsy2A3HZuOU+EtwYwuPNo2NXbOLmJsCVtXpzRpQVIUk5eMUsEJETRu43/KMLZHaJJIWfgPabjenDWuXFFp3gbE/QYuaVhkGg4eRcuUu6HT+En3xVP74mkJHSksMhLoEouL6MytZPReZQ7s+R4lnWDh3boAyt8P96ZOJ0J8fdkKV93XDeJi6EGU+EedYhYU39bMuhtBYCh0W8MdLQ8PVtWuOAnvhtVlfnbCDu3pFKQ33KA1DyS47VKknTsSwrxuiFqO1/VhDKH0/0YSYNRAfeFQUhjQw89pH+uBF08QYJQuBQClWk6exTsjOsO9RuN4r+yRDlTcxmDVgu2m/tprUHrd/Z2xIig+9GUMs4Z7VcaUYEOLbDjK4vbOYqyk3cCFNtJSpeN/NhAmUsYBCGFGJGrBrbrlnMMkLsmmXLJKokO1aniaxIcZTLhI0KCm8QxaDhIhq5pB6cekZcMRQmjKRKkpQHSbRElBFQ8WVE3hzSRY/OOhebBmkZGwwgjxy0P0APhUMzvh6Tdbt8gdu9BmC1ENoCexj55xm6Ex9BYuqsrZ0Drr3W1Pw+fuH669uZu5R+Mum/mHWRv9Y+4nUuIL8GF7q8DamKQP4PpFmvbnNx6ayFu65VrOw1zP2auEPZjg7jcoOFxQGf44lKbtz4+ad5lksWnHD0SIPfNJX7bxpH0nPhAeO5l2NBq3A3Iy+HAB7VSplxZfQtwgkk/ZkEeCN97QxafXollwJEms7ZcfwklgnNF+6ReS52eJPs1pyioQaLVSm8WDClb+RbPm+i/o0lx3p8bFIa9sE/pIPhvKvzNk3TiC5BbGEgkZI9Yi9lc+Zgs8wloeuzwgpvuHNzFX+jQ7ve5Z9bZ03gqqR5PpdNNSAbKOGxuB+sfVxzH1cVx9PEB9/NF8cRRfJjK6YziRHQQl2+Xb76SA/VDnVNvatYi5+RAxQQh6239Y8QWxuiV9lo2MoaLf5xFgh3P1x9UgNetSuPnR+WdZU4zFj4l6bFwX0QnUmb25wuc7HdXmkL1npHxSi+FnLAC/5E9sMy4FpqLMrWYS6lYbeCW6hrQYG6qkPvsCSdalwC0opyFJgu5RqYETMgKiy3RQJVSW4s1R+vQgXTZP6QqkSbMHHKpvwNLiUhLfIXmmU+AVBnUUPzKEwyxUqQSr+cwDS6Lr5XaF/IbsYICJli2cFchVg7aLgLc5xTTyS/v0ZRJtbxQCzF1M1qa1eehbnzhmd9/NWyZAsWHLstPWONeg+t6XJVpJdZVepNgDh0ZpBJSmuFzOP/6jvulYBVCUvaSZZM6uKx1JGNIs+hom5RAnTIBE3kNJJZawYweeMs/cCylGHtL19T1Hgc5SrzKEBsc7zmEvvi0Pj41kWPR+ETmgEpNR4b936EvGT5gvcEuj4+TQyPMxgwFBFJ1wlrCFnBGSzayJqKTQSQm98LZLwhID8s6FxaPUmgxHcDPVP1X4Zk2o9fOi/UHKyQ4jxIuRD+FGynzgr+UHN8IkfaMTceFlCg3U/+AG+/W9cIMQe+tzNY097DuZql6MSFnwYEg/xvgYoCdjwt2nXiLFRD7Ny+wAOboB+jIztdk6qIXPFdF8n+c+k1mMQ2dNUi8llVSWochhxr1h5STamR0aupAYpCHh/PNAT9PkbWPSYyBHPz3u1YwLTe9dXdu1XtuQ0uNmuxq7hzQ8wmI5Fuxvc+yJXqVcmspPi//xr8QJ9xwIGlDPx+U+hSRh2GZGovugJALHkUA9WwHkWBoVyjEPV8RMTkRP3PWFgxI0bdkklE0zjFhDXAMT+KLFkaxefiovOcV+IubUEO0Fb+4jO5gQ6mOCeB0vhOFT8z8kOqupJKR5qKwz4ASH72JcgGgfQ21PMxPmkPIa44TQG9AIJ/7bQVndzlos8l91xtNXvc7TIVTJUFb0kORcZd2P2K4nRAEQ9A7NlV/y+IsAaZfYuRu3EAYjC8qMyHjq4hT559XnimlGap79kXaBNKmTT9Gh44oSDhSODE1hYBsu3tVM6RQ6WxI0L25omAq6TKjroc0tisIg6rFW2AfSTUKyKPBlMX8VhOqL5TSImfWzJkewcoAcMEMl+RnP9mIc427eJUqI4vxWXaSOTQj8iYSPuZwbGaVilJOeYnFcRn9d/qwCI50mtLBlk5yOrsJWeYJsSSUzHzUJ0qO5Ve+lKkrRsIUMLv+Gz83rRrs697+u8cLF5FDYfbRiODA/69j6mzRpogTJMEp2OEFOt3mG4MtnT+nJP/q7rJRaSqklhBA8LidnR91I/OylKxM4ujW0ZPBpTV53ORt0zrJuLhJ9ia3kNWMhLLX99c0OeG5nSavGOlxKXv2IiRSvhoIDAe8mUEhZPHyrju28na3IP+OQZDAUZxia6QvdDkTLGnBhoTylbbbC7brkFHZOEcNDzVmtn4raIuBLSbIHBsKwqIDEsfSVvbW9ZL30cMcKWZGcxcb0Twp6dbP5kiIOFZnhAWozFNqvl5QJo0NjyfMd1I3IhXVrI3ihlHgR1fRRMd9GhvhuBGtQ3XGw69UjrcbyZVTuiCNPeTV/0f9BUeHekfUbD7PVUDCreswe04eO3gZmSuO+MpTBGPom18YDPWint7YD6ucs9Oufh/DtgpeTV2w1QZD5kPjV0ky6zGgYQ8EkSLQg7cCvnYwv36NNPIHxEcGV8OeKQJf8dp6DO1dFKkCO6nXDGwk8cP88z3wecDH5/StP39J7MmkN89MRj+HsH39x5soJ2P0lKPuqKSf9xhekJC06WjfLWfg80IkHV6mXyhKfvuLrWaLGxwHD4+CLu7Qtz1RnTevkzPkhbSDSU3I8PPK7tWJAlcN6Yxsop24tUr/LEQxOyugif9F5aBjzyizLna/bdF1Mmwb21/Y+sA0MFy4FalQtknNydW8XS0/5sOYTNism7OaYEymKrzVANNJwL0qfzNMrdlaclZIhxXQc+NLuinBJneippztRfQqbt72vvvt5Se9+S5uEyvh12MO2sTBpcocfuNmtmgyz3ZC8UfvCZPrOhH3EoMg49++dl/loinVuYmtsdfQU/f7Jk729lZmMTZU7UzUanx23RRu1z9S9sGZfMvXGj2rQqiYK2idBuubJ48vaTuUSFlKHxBEjHwd7K2tjXHnpeXPuex3XrdVsW3acDBZCUpjnlrdGbg8u+IRf/9vOmAFKiDNrZva2PDOGMtU0OCciqKDcCFtl/zx8dFeaKpPyA/v//l6cfZhNpa6JGkw0rHway+sQRkVKwAFesw6puVJ+tHlN/oxQACkyZNvCQEn5rNJtvV86BRmroQFNmX/9wxdIb2jxiq4aMjuVqa40qfumyYlymcr21ylrP87dbfMhcSKGlaJ4koNPXF8HwyOidnttn1sLqQ9OJY+jq1N2xt8fsPi/fFfkhPbP3qiAkiFAgla+zqxfXvh7h4RDA+767ESGr9DGiI22sYVbJruk9kgyXw4AZAKrsyqNXAxL+PE8rzu48xCaTd511UhRpDylMxxt0eimGhPObLnjYBSfDxpF6LVRmTccqUdBVaEe2v4d072oqDB8omD/pJnMypBAfI1eYYiOTAamj6ellJxv6W7/KmblLzDTHyQP0z8A0aQOjzEWB10YpZUR9iwgdB/lxmeYOHyqOuw9GUoSxepa3XkcMIw9W3Zh9KyOcJwfv0D56wociYvOKN5z+JFJJgNHD9DvO4lSw6PzhEl4s4V9bZ9mdLS/W9ie/D/2WD4KbxFCTqpOyDk5Bxkz/PO0pEgQ24ZyMqkKb/AkogreWMoqr2FqFObkOyu9sGMOz9L3/7m6lhXyUH9/mFCrWmxvWmnKNm/fgBRfD/DmlZIrv2JfH92uEAP+exiv5MCmcBBXCuKf75PyNny6kapUD4aZOSQhfwFovvMyeLgkckHXgay7IbrbRHN237+PFeLPGQeDAMxQBxHgJVPXr7iS5u03CCPKmBoZxw4Sm+KeeJGGb1+E41R4gU/oTKkiRqmWRLL7uQyNVgqxzHCa5yeejse+rrfeeNftPvYTb+HG7Vi9XHKE2Djtk1UeEMLlIjNCJBbfhsUHR54hycx7sw+7+LBT5ZUe1t9hNDry3gZuqZQi0Nrauga5CwvlvJD6l6cx1qv7W2PBBLFygSZZawh4n7s0tXSYuE1s5xyt7IgxzBZmhaYyd6ldKOpNdW/ywxgXyV7V40mwnNzV+ceJX7LoADwz1W1WVxKZjKqBahA2G1pt3c0Aw3a68dIumnkIUHAVa7XGxtD1pXSNXW90IuQppJjK6sOWNuJ//BFrp0BMK1lRFXUCpoxfnja9UI3BYwpKFWRFwaJdx2YqdyKSlwQva6UYARLuTpZ6v9eP0ViLqKSbXFVGVbUD9HiTXqsDhWb3aI20rsIposm9ZtCXbRelxlcsA4/UCNNXayaMi6PLDVwsPzKLsGrdQcC0v0xBbrUGMwBnEK43s31S8zKqFbBK/YGxnK8qmdSCvZqOqXuyaYKzxgRW6mkiQ0FtgJrgPRSFfuVSjMxWEYHmCrxJHVw6SUOz8MJLKaVn6XTZEwjd6sDbTm1QUB8uh+wc3FhlphXZVxU5igwzkTH3KH5bsxDBMY9tjdOYi37bjI6GaUCcl9JhIt6sDNchn6V34+w4MbxRuU+sQZRFNK/bGKhtmVrhHHuVcEnUOYMYZnLFBIVoDOFh2/tNCEhOBoiiXRVSZmiECX06rMe/09u9cJ/L07bsfBtCBCC2LDm6zerrCWB08EiRaVwf/nXC2Zem5iHgthz57NVHnD2AvC5hVXHJVqBA7blyuhYGMMKgkm9IKErszVfSAAyeSEg2EU6y+DSSBdJfsBykVdegl7T5ozMyEJfJuGe6CeabwilZow3+cxBuK4+i1+3uK0Gdq3dceHNQrlDjfc6UBCqr9uFokAfXm50gWp+v+KkcjkmmVd91VNQF9BeNBLw4RWYWEkX6r/GetonrRabSgANOIFMvnCmYuR/wI+OEPqUDkhpXBJMr5u98ptOHc44j6YWT3Wni6SDUxWdIxH1GWvuxhWX2LydZ7So6yvQ3b2nkVgYoQt+b1e33EDT6qHYXClUh9Rvc7oZ6kTJW3r1C3Z5u48nuEQ/rLHnuCzzENA1nFSGFCVoynPY964vaipLRtJ/tE9oLk4yneX93zOdoKyA/MDeJN6g0bNHcKAOlY7uym2PEQk3qXZsdFequZ0D87c3OnMVpu3HUP+dTM60W6rnq8CK/Y590bSfxX3qBUyoLeXnWRmxsyAhLsnu3qLRV7Zo6J0Nr9AdkP7kHNkTkC2Wq6LtVz6xH546vjh2/zwefjmy3Z6yCpMiNHWosYpoprjXT5sKwmlhZTBe9KIkOcMqLXDND+OauqPQyJtKF7J8wxS551DkoEdhaMrL011sF9RDIx3NtKMyKxJnrftU0Egp5oAP+KxYAJVXAP9WyZkkTxPBxXU8w2lgHPJYqM0IYuW1oPwbL4lniuuNZayIYWP/zVU5Gjgo6vAeKVXqyVs4xfP2K0LlFnOXiye+aQAfv5PHsl7zSvAebKXdASiocOa3CdjxSnIoK90h7eoDaaG8PR/vhi+qAj/buKdAmRkKKdWA9mj4wAUthLRpnebV9dLayYd6ATVojuRcoqMmUZOGSeVXvqmUBpsp4NtyEV8ucimmYmmSm5mUt7Des5whb9cx38uWM6rgnIWf8xVlFrHPjeRvgScR6FR5x1saUyK/zMsQb9wf5lstOaes1RskrfNqgn40h3ICUgI48dImYVm9/U6P8elF9xarSrKYXTzi5wKugnQEHmyI50ftZSFYU36VUQGKOllEq87B0utO5LDlOxOPWO2BuJ9NIHFdOHmkthyoNkufuIdjpeWUYd7ervOjRTQB/POWRmUYVTnYDBnDPvgsKp/Kw6Zmp8+avQO8yr5qPF2Tlvn8J94tXzbZm0Y/irMbi28icwxgBT+4Eqb1Cpr+hprqvcmkE092nj2pt+E9ebBrKqug2glDzJTtkgvAhjlukaVqErOt/C8VCQc9MzcZdxiMhyU8R2v6UKEsB0Thxi7gbO/dMq+JScmA8Itds06bqy1QF7mw0Q71TSEX5HFjdvoJQSq8WHeQ13OdWY7cm+ztSUc+1P4x5VYpi6jGV7b9mGEyz4ETtOdsDGuOyvb1enf0z8DwHx+D2Oek1INrzydX9y70IgEbb7ARmsFhd4orE+00Plk0B20Az6orKkgwiT7UVRaYlO5r0AHdop57/9URRsRSuEQUZJuZ6cSXqlAuaq+LFdGBNFBtFhCPf5HveNazCag/fabV0dkGHmbTNojLH6ZHYENV5WE+iYvdp0DsP3WeYbloSUy34USSIu/ST6xqhGgivGVeDit192oElr9RE6gQee02A+7j28ssJmSlwg688cDM9BSaoNiAwI4didKa707Y4zSV+r3I8z+V8N53IUb3dmOLI2Ue84KAiL4kuGplQq4vKJC9S4mj+3GD5MQG+k2d5cnha+CqtQM1LJ3eWDyLX5diHqiNQSs/WgSLJarvOxNDytLgPq28m/IjMb8Rwc2CgeY1R/DaG13sBMTf5VqG0OkPfF816PjSqPxv2/3HUW7Yu8dq9xWB6W9tw2alMjXyrDPhLjdGiV6+Wwp+HLO5sFkRa6L9IeVRIZQ1q0RIU168OD5XP33GUxT8JLwMOEBOcFG9iBG6uZQ+Jn2bNiFWXLk5980wqN7u3Gx01RTCrL1OklSxppGwapWkmzUxYljpMuPZA9eKuPnsAjVWLJsJluymRKJluWxsMYEduUXMeCMQdfUeqCwJKielUJeBgxiuzzQZFYrfFWcyDglCpGIrLaqsuqwxle9qAvUMayGmZV8P0pLe7FdBmet/Lb5cEOM4Ba/5g18Eh+TiuF9s8oiMxatMnTlIf3naybHrXr4BLxx8xQKuit12AEV7SLlKCXq9tux9pL98U5MNrGF08ZA6QJ3cT5/m8yQ81/vjK602M2yqtKK6wCfxwQ+anDiWCYXR6F2Wu94zXCFRXp1SrXzL8s0uEW9bV4NhL+XHbauMdvED7L3P6x3QX4HRyVTZw0pTpLDXVHDN6JIjCXcjfjQSoWvbA5SNhlWeSMfKjGFgm/BHpn+8L2dyD8wSIT02CA8Xm2l+yX8yiSyQNXjeyE/rdeK4AEyhItL7nYk1Hz6ufSRF1vwNaK0dJdvvVCOMtRXt29xZut5QayiLxnTc7i/YWFi2id8AKtXMMF6xhjG/H26TknJRCp45HB1HmFw62d5hbT+q00O7YCV7zew8jtrs/ekebX1UdW8ySKovlwmNNs/Kh+JDbS55b+tGJ6HI6ImxNT09sUOW/Hkk7Fu3IH9fgmRuUAcLdrASdthu2lEuvWsC9L+9w/kXoSCHP6pnSWn0XGszOUyeMRfpJeamdGzzvvm5rVnM9GuRpF5DLYxO+vHKDhYm8MHjV7FsS8IfLM8opNT8P4gi7UsfSIdxrO7n/p9++/jf8nXRGvmXdFg5XGSOhehR9zX4H7m29jKVbJDvi2aRI2OdPlWOu1GwW/OKzN/KukjB3+r6/2yxRhIfn/6aRlIYJ0LxaLvskLW5JprgFq5guXCiaSXXVZJDUOrYIL7zPzELbpxMDhaGE9supFpVJNL2UZ5jxUzbcX8V+4elRW3Q/K1Liq1PDXNawumszJlfkn/ntdAOtY7Wd56iK0P2p+u2R0Rfohl4owsi+tWDXJUPrm4xOVEdn+KzPvCUKMXrvzJUCmG8UqaVR8CQuFrpG+7mFpHr/+ipRzbHYbuXxLYtiZm8RJ7bjwcasxvWCwdUV7qFeqAL9h1CKNEbXimzmYZoH0Qqzc1aYgPLmrwMzD6oiGCQARPAzp4wLdu5XixQF2jC7QX25e6G31Pg8nqE0rstw+GrgfncI34qTsRg4aRntW6RJZQ8T7h8ZkH9mn3hF+32Zj05dZCArSZsoelOIjsYzNDCuLK1RoXUewKyDKOo+LizSAxNzTYiUCdoBDi8NowEHfgbBgvNmQbDDk8sfKz+c1IeSUgx0NrnAogUfPDI+aRw+n+waTgQw39wNlb0n+0hSYlY5uVAn9pBWzj9gFUIUvSjdSZ91eEvzlyzt7g/5x8OL/Kcikb3qRmer2IJhyzfb2koMZU873W29uh/0K7LeUIv4qv/NHr6otCWZtDyOgG+my2OPN7Gx3hH9gHeqQcl3+/B/1o6Uy8I2uzgmAnOAov7Emafe5exs323wyiVocO3wxsyyNompa4FajDrLfK36DkUvfHh5Ji8Zd0pQxNXqaF6msd3s+O+GR9/pTTgvopezXOLquGsVUQ6ktsgdt1jYKbjDrj1fkl3jSF6s/5aDYG4oDMziUgWHtFfRZgNNu35LyKjyOCKf+sYXPvyZo0qsvlWBm+E3fPgRarmjDdrw9OgEAo4FVAA7ur5eK7XTu3pDVUIO6TrWcGjqi/jBfe3Zhd8o58UM6eP4BCXlRS0Ag9l/2XdA2/4Xekd6JVjJgnhtdewzzwrE/jlSssvaMUuPQiPqCjSS0Jd1qWC60uduwZ/5t0xNcKmK9M9zv4vCgwOj4qKHLOhHAsMj+bj3pGCxpT3erosPyjd1orSxqFDfv6f5ynhEIdhrw6e2jH0xLAvxCO66uZYbm65cSDhB8LrLAgdTZGLccXIUTeEcZhalIudqMNVYHGiGzeQjK8eLbmsQdGIxSnTyrPae9RWG+GyotvG8Xd1kGMOVqEd029krEpFU8mghd3taQvf+Rwzt5EnpZ29kEuTHLN9zLEVH8qreo9tBLx/0ado9bnLB7MDolbyrr5/TeKO/DccjNoQVqg05/xVYbb11BRUP2AslpcQ9mMdL8t4cx5A8NNuK69AcNiQPzbahdThxMgcPzk3HUscB79zQFKbdDX/dvo6pdjNWoQuG1boUYaNa7nwS4U32F4chEuLsUQQsrCchMZ7wtw629Q2XHNJaM0hcZIpqbCuiS4GDGw3RxTnjrWGwIgxrVLWH0mxks0HPqs5+t1dh5/DCvg6DVXOqDkbh60sVbliybwduOxv/19LNxOoGqZolyvVIVcNIy0vYem4uQnx/ugRrCDRr6I+HY2jbi7wG3itljqv3flo7Gh60o24W9djxdYpEs7ELT92w3wb/yD6pW9/kGqk9/ybxR/R4iwUAMU4jDKx+74F43Q0SUH4kuxNFGRR/m1/VNpFOA8FBNBC37cV+b6bHRDn3KAEy8jEMDISRLHcAHWnYK/CMi1+c8cXvr2OCF38444dndkTxjjOorFaspqDIM6jNw/BkPXghzYqQOA/EWonMIxK2jgtc7bBLIcp1/T9Nh7pW+ycwncsbXy1wTQ0UQ7Okrg4XjaPLdUq1wJh22PALCiXbuEOeGlC2gjSMJAKm+6YQsRLW06U4vLtkaoROQezHYwVK68jXccmlMkAFRaP5wVGF+CSuOchTBh65Trke8SJs/GnAPkPa0+oyMjCDZVVrqTI6mtEkzAiN7m3pYbtScoOJd/byLy7eV/TXhBm4tofoZsSdTTbdeiMdPiNjl16C0HfnZWZwBcgKpoTU5e0NKpwccMfA8UVbGg5JSfqDLJ/yEKshDfTg4+fnrUZZTX1GTFX3fEB11lc7BpIF1h64Nza0cM0AdXxaZreztsbD9e7HD6sf0Ih3lXNCqNgA9srJ97rfOx0kdpjnbaVg6IIXHwi57Tuj97WU2l5BMr+5qMb8psIQrmoR1fwfzboreCXIE7UuG6FIiO4PCuGpes9kTdZR4LmWVTxCwQWtE3h/eiqp0PNBFJ2a4cZx4LRudHNfz6Hipd32lX7j30n04DKK2SvJAsWB1gaKe3ru221kyeVkUbVNR71GhTc8VACVWgAgBNobHjFFMbv67gm8TFcW6/e7SNNqSdQtsOK8uKtI4XCvry3ArHaqvF69qOun2J5NiEIp9UZtErL7LshR0NuvkWyhfdtojQgp7JdHKu/BzLQRlSVQUmTHPEuzVyr5JWnCn+bEa1ueTEcPi9xTFvXP/ykezis/Akk7nQyufocju8I/nPbUKYjJ4y+5EZqhLNyR0x58ezog11NWe/25i4M0GRiNPp+2hqfTMbycnrCcDuXHtzjwZtXbQxJii7Fe2T151g3bUvaXsRFJp6BzFtMHweW7BbKyPAtNZOonbklwu1Kd8a0zhD63lBDy/dinEUlatuQVEp2NsbB34VziM2JlSZzixY7Mx0J5KnrbVS/8bD41MX8XMtJuo/gR25E5rLycylOMxgfBnG1weA125d+/G76Ins9QBczVc4adIv8U1Ep7KbBmrhrfIPMLi0VuHE9uLoFcQBwDspm4rROXlCElAnU0sDxV9bmkFH0cBmPkQlGNAh9Uae0RioI04JTb95BnllWOXNffH0OJ0Zy82jxNAKGlZI2q0rADhp6XfotoPcZKTQsusJLY1O2+bt+DgPx1qgj+zWoyvddxa0qYhzuzKJ35SJnNEDgPsXml1IHr3ZLCIHVKzu6zKxK6uNZ14YIA0INf0LnwpS1cVL59m9rDbq30VW3TMy5pLUo1GPqdKxOP69K0Q0W/KvdU5qvgEP3Zzyn2fYrQdu99mKnP+7gJOfzvoUzTVZTR8FcdH42scioYVxeh3ROsUKG5/C4a/+CnHBcgN1SGucJyGj8yD30ocrn4s+Kkkhp7JIo/cM+nXiE/7MmscUZczzhmwEi1jhlB5CJM3fixkGBMELZNN2LYKd3/aSdkspMPL243VMGyF4r0S6HXDerEetD54vC+UxUh2/d3UT9WKZEXEfpYkmhlb1us50lYxxBbYt1RKe3iwYHPeC/FzlzDiUANkwDpcDORGY8Wj2Bgvuy4eMSx8HvB1Re+NQWuM/JNjJhcNDdvSMXzH8HqoNRFDDeQ2SnD2xSYpEl1OqiQZmw74Y5sEJOLaS7cNxB/cxaj4eQDRUfTz7/pjt+ZRbESRxywA1hHxriqep7fqq/XOVPEKhESGHe8CTmuaw9x+gcMAyT+qmFCqAIHQonctaCXARUIGZvyQf+/iqgdSvKvLg77iCUS5aT7t9M3gcMjKmHyBI3tuLVJqrOfrovgfGonZtfqHA/+o656YGRyD5ty9yBhLIw9IxYRw35RsTHdoZBrafKNdAF5qwU6G46CgemJ2VrUyYprxDBzwNJKp0HHoxTI6AcJoVaNRpHYn90ooXxBhu1ipx0oJWH8kEqIpgxZY3ybm282HTKo1gsoZU65vjFmYCdyhLD9DJzGIsekNbSEZdISkargSCsz3VgMNmUNs1MPMwYUM141Taqniwj/frjUKWUkx4sDnDgmxJcdDQq82ePMXK6uIAlb2l7tXrIgownGEwQyNG9QWFzt4dmO2ja0aH8hSXzUncRKLwlyJi+xLGeJ2wUaiO/5JsDqfNn21RBwu2OyhpgM+ChQYI8tGhvDmNf22GKT4O0W/EtehriCoHG9Vl1oVztT72MzcVmkODciUsV7GYtowiBrFtjpknjtP3/emitfJXVlvaRyRy2rOmBJl9jiFOwVynFE7FIZMWdaMIzweBV2kaI4ENtRI0NX1jafUWOytUA7MWjcPdUSr2v103/2IS2Swn7tQyry1rBBt6+U4GaHbnimk7IDRzdvI4cSBKgwEjmTnhTXVURthXkHkRK3NJNvduz+LatE6PWvXj0gQ9js/p5k6qskxqv//3AWZeBhgS9U3+qaUu51IF6XFSCXPCpAMhBsqe5YWlLATi1BMooTz7OVk6lcq9aBm2Ib6RL9nVNkGYFntK2I96bB6pV/1XsY8xOr8vb01HaqxnmKp1ldps5pPXbywqzLLZpvv4VvOgJlsSXuXxo++DTZbFWrc7DqA5Wqk5lzcnRKQyWxD2Ic20XYTp7Ghfdh8q+S/tCNY+v2nbkPhJN/tkNGgUAkPkMXhq5xGZnMj4xGuLtEZIui4RzJuOr26IEIyMyMDpGAuJ3byz6IdzNVPJIckoS88dKEWnwnO0Fv6OUZ1dHqVDJu25UdmGx2S2vwDGhRb5itIWjxoTrw2hUTmdMUOfZY6N8uZardBNwrLf+tLIR4AQXsvw1iZTCCJm8B2SMEPyL2opKIcssfjm9+1/BeZ/cbiOr9aEWTb38fIt0gyOqz8Mfa1NR67kDX3DvsnSYzkrv4Z9rwY1/0h91Poj/UHY+iVP8fkLBC8lkalrKKigZVMS7H8ljcLZ42quh1IP2d55zjG047na1St1/PKbfqM72yso/jPvyeyxZ7uuN8DT2zIOxQXSAa8wyzmfaSn1wAiRQeb1LVbEswatljp8Po7iuFWT5IUlE5zggVCNPxCQdXnUtVAQ7S8ug9MKy3qEovxqhuoAPLgHlJYCviZ1BYyMqkHJyfQfGkUJwYS4WQdWwKAygX6Jqrdlam52LAI2xohfSZjCvg4zHwT838+pO9OfGC4zO2wcnMZRtbz0NCght1Umv6JIJ6ZVYTh4OwJ3nBrPyRjvNHN5A0vnChu6oivT/+kpeMxuHoizCTOBkEp42ori/veC7sKo7YVcsV1TLi5qjqZllWTnrhSbQ+AQDgEDwgQYfvVTtUVlvD4ZyaA9ots8lpjsngOY8O4yjF+ZMIzwcVsnXWikFmhAs5TJC6FndkEbHIf+VfabcyC83xGgNUAWgEzQ3GDs9eH4V1a90LAmXKoy5sD9HdC8aO7s/TMJo/MwEU17/n8Tp2rEkQJMq6Idf5uTs214GNzzI0/Ka0Bi6tp8SHT3/NY/JP90Xw9nQ+5csd+v/nGnQJD197mxv6tJ2kV9z59Of+bR/e/hUQbFLW3JgFyHfWd5CYdmIBZZ/sbN03aYBura5b0Rx/yjGiDbiXr+w2b+/ereHFMzC4nTpDS+HE7SJrJLoQkJXv8UaEUeZfk/nLVZq+o+RYhXaf+9fzcWbvY4f52wt+cby3J14PdRGNgcv81se7mBzoGiuQlg9nUdCTrPvv8dIiKhDiZc1+CGVG7kgiyt/E1Zaw2udYqDse98sWzWsqsL0qg2MKBmKPskM951BgGTkVWhYuDmEBF39r0hmDNZxjv+DPj1OCRqgP1OzZ2asVxFVzqMitaqGYjWAsgL2FgjZcT/1PDYpqLgpiyfSIqAI/a3EQDsfbtojpROZmSMCPjHjGfpyeYBeMp0fPGBjy1BeYlpMmW6/C4Y34wGQ4/DmCYIWefbzy/UWIfFgynvL6sR8Mpq7DTCvWhtsxzGW/kI9EH4bCv6CMwrDrYDCAsvdqz4GD6ibXPTfh6wdsXUEGjfYB6L3EPqggyf+3SBMl3xYqhLVsxDrmJSGs4pxQ1lLoB86+nydYTbyz1tMgsiMGxfpDsrN8UipH3qpti24Pgj/ZMe+4JwZU/th7P/jW+PZLv1Xs71Jx7+jvqsoeelV19XG0wbVslGbpJFrST2aewZuSyljbnVQozq9fbT5sSTrD6cLGERoGy458t+8ZdFTV6DctUGy2BWry/xTqlUJrkjpjN45mq5xIMZnvV3r+1uE35g/sdcWjsgjtnTV/WLQMhEz9z11okcCyV8pjkEFVZ72yKfPVJ4ylMgpV83ksL6yCb/RbHHT9dp/xRfeDqdlaWSibHlu2Kl1uNhMLhCN6EKwou20nyur1XjpxieJFmdeJBqvaPqVehW1CeU6ZdBynpCdGj30jlWDFjju/ziLVTnsFlcMVChODGcZVg3UdwXqKOZgzRTUsUFhcWZdDLzVGrFuxXenfgRescxfp54YmpeQIILFKD3jyEar5fwl48qp0rvUESdcfBnobuVtg/drIfDMcoIgtKA+SvLv7PRjgYWHaKMj+ag/uMub6x8TGZV81eRkelhQ/vBfkIHMbK3jT8vJSNLNEXQrMfUG4jNcBPrL044cGsU5RrZA25u0kfCA6xP0Ad765ROeYPEhGSBbi9m+WGxJLlAxfH+Si54vvpdnx4jogWUAIhX0nMiIjHz4eqN/RgtSQP3UIPIFJRiXzhg83U4rhkWcZgMyHfm7bXAG0AToMKGLNHzzfGAwkRWtARv+acXm8eKltR6pvi1HhUKovwMfL0TzTEvgC+SC840YxJYMfaYJB+MHj+kzmV1Pj+YfO5LlZRmjwd6PGZ9eedDPbw5YIJJ3Oxsurk1YakYrnfheRzrIZfE5kIYp0UVPuGSj8sf2w6zc7hJFqhItu4ogYg/qyHEXlZCKXtSxgFNQ5+uV5Pr6PGs0POZxi2g+kCMWYBIolatxN/L25SyFty3x57NiRlnxYynMAgyoOzMYKdeKck8dLL7VcX4i29zkmgvlcs/04W37tJwu9cnK7/CXLcTDzOIsKV4lGhg9/9lnQY/J87oraOfquEcjxCLBauVWsIvcmP250VUa6N3f23ekhmj0UTkJmHWetzndGLahkO93JgJV9FYPMZ5YA7mWyy1bxFK//9Fpl/7NXWPjEy5EMvY4+zUWyyH2wtVdJVVDmCqOG5C/L8mOF7OeyQcDKKMaOSiClqPe/kCAk0oK0QqpETZTIeqsDPMfYKNHLTKxjvoXK0N667Al39Rn9ZLYiLc5U7S/O7tc7YNa3+axry/Cunx5sXsRIMw64qCQzSvMwiTOU0Y5VaIyhY9tclSK1P/1X3fMgsMdhwooLTnOQ1iVT0vNyKS4p4dmk6e+11q9CguzeTRqTwrflx0TnAq2Jjol+utDtRO2yWM/qn8k/Qz40+fmCL0y+sjhNXMVwyo8XfGnC6NvWyfgh7bmL7ztTv/XJnRBYJu7TZ5sTByao4TMRkdC4XlH89c3UzFtAVd+IZEdI+1c45G+v6N1/NzAoGQ7d0/II/FS+4qm/BCaSopKFb1f89QrcTFl2HGUEseydileZWbO33i4j36QOwd2HTCzriPKFEIzNyP0lAfYbPaBz7bWXThurav4FR6XD7GZOpMNeNtMMufBGGzc3C6hdboJ9DSkpAoVE+EB3e0BMSFdR2UseeO3Th/Nip7mAS6sC+cTR88xpC+5uPDSn+WfPF63QHvf2jedoe3t35XqBRfvkWI4qvcXZvNUkmmNRbexrdyKmCun2+0FR9hJqpQYH5SYEgFZiWVNz+5REqitfxVMKEQr/9DHGCiikRjiElkUqWVAZugQlKi3oS9XCsEfBznSl1az18DXJQWZQ8riQlGeNuic1osRfccJ+idLrlxRawRlV1PWAl7VM4r1pCNJoUvXF1lNRDz5e7eXFo0jUqVjMf4SyvlFxydcwpubnm4BEWt73+XPHDceGrTf7/RHEsHn0LDMOgynpG+ATdBTDpfBUpVqfrDYrh+C+qKHdY5K8UnhLW9qyKpYaVlioirqx1LCiBoXtKqIqJenpZoKspOGgeGRHIajRHcIuId3W+sut7qp9kVjLaPhGECiRFqFhZPp66PhfiVnO/c13PMtGlXvIngmpDkjaTaNbQZdvMneXjFOYby2N+sXJgb7VU6G3PNbdzem/3OtBBj6V2kX26obhlEjuTzXV07vPW1n19JTaTNzq20+fk649EnVJX/JfKOteQJGVd9re6ZTzo620h/LlgunTtDzGcjhNs+K5vvl4gskjZs/Hr9CGC2LMTxhWmeYV8yclVqscH+rXW1rAf7+wnO/YWEP0ya/o55ci0Izvt6SHSA+kVk+T4Q1UsI2gkO5YLKtd5pDPn/9rppH2MuHFuV4bsx0WtWowbDrbgQKK8v5c4tA461LP0kgKdliKlr5XASPl6mAhL8VOeN56h746EXyAbg/OwXw9kx28DBxZSMQPNfO61HzokG7OnZgh/RfJUva9GJgv+54U/z3TcO6APKtZeaKSGJT/duMFDx+6Lf5LRSEjuvhthIE6mkElimNnOCPIJgslu3hvJPR2HLXdie6+8j7qN1lOJIS9++0OgSB7UpJ4yQeFSk3HtY0I+gxzFsFE+5n8Skny9knQ+FaGOBDjLgE01qfT4o7i0/6CsdLz4Y3HtfZdSkXxJNT7qT1ywdypgrEpjibFzkst4Hx4CDB8xQbc6uaPH+R5AMhnMEMm0QyeaTfaLINvESTHkBmEkxgHleF8djvaZLL4NHuAUTIB+CIp6VSQU5WO43e2Taly5F6Liu2dLMT/NCpKb0i9WVC4BsgYQqUIwWqiRiM9s6cJsWGjouw5vZx5AU8f2woXBC8GhM85tkV5C1+RYcyvytA579FMaedZrkkBmvksQYXd4uWRUq2QIb4qHMZqVweN99Ov+8IT/fY62RZe/zn4eGu+3qCdVrTsSyJulq5djzeoHldv+liGjgNw03D4vliLppnkECpfURD7r1A0g468Rtm4DTlp/Eyp6b7X3VOIxVsPlwo8VrhiXXpruJTHFbV9Ltq2SMS57SJwGnLFtV0KS/8AIWTg4rG1sFuE9p1FdbFDB3Stg7s1GkrdREBygx+6X9v22jx1/xBs7q5AfnbhrwwOhRIuzCdOk/Rt+MJrfj8f2TUM6dUlWmLR0WP4y6VVfWgehw+YITxrRAgGF5pC7Dlowu7H/B+lrTTK58nc9Wvsy5LQ3MV+7vH7U3oZdOydudwu2hH6fqxHP+mqjobLd8e8icwRVw/UTfrWnCZmwzP/8PEORGCG7jzur6Z3Pt0K4vF0VhjHFnbUSaIp/3ith3PFjc3iYIq2mh4Z8wkMgPGKn1V4qrVKM4G+Fx+OlbPFE0JhU3S5+LYTp+RGbmznx/Ohj1vCHlj8nMJX0lXkOXDEImqs761s/dTkQ+WRgneXzxATJbVBjrtSgeUr2I7+l2Xd0XSROzeN+h39n3drMtEt98MVbdMNN91zx/UJCpvowHbuB3IdrK/DeauOC6lrmq5M7+0cNYdwlAbl9iNskC1ydpvw9dPpKd/pamOSTC5BpwfAugLFQ2V9FEI9Zh8C1NuOcKn46YFNSBerOsbn1w7u97Z4l+mn9dqDmaSbUki3shn6cFKatT7uhgqBArhmV+0AgyACGw3Ae9dViZilk+Fha5uul+mTEz81HKmyjSW0gp/CWC2hfLw6kJt93DgnUbc80XN73yNAv/DY8OqFRxIOysCqrO+QdGJ2hCXxD90DYxRvhGjxr8SPjW76dd8rzV/uJLWpw/dtyRi2IgxHtADyT8NVJF2te19mNkjntrYmLQApgZtGWNRPcE+pjlGkW8yPIL3lnfTHu+ZL5kTdpcg1WZZvu35laTk/rmpeObx1xCJO3RL7rD+DThhYQslfKpT0IHAjv6JwjBRVUgv10iQeUtAvABZ/PTpk0m8Dk5NP3Qi35XkAwabbZdilkcErNHSDThhMOU3rMYPwfnA9WMSNnJVksgNLn9aLCsG0XabfJgsTACrMJTHTQCReJ0B/2UwzIiZKchjfMur5DARgEgP7ZwQtBcVeUge64v4nx/3RARJ/BQw3pUcBcuF2erJ9UR6uFetKZcy6U/HRvhiLbDyeFnme3pR8o6YGjZLBWFOH1xTAJJiWcCVco1ehQQIc4RDrieHcn5+hhxLx042zw4EfDuw58dN4YcFnbpQGvbAui/XDLeMGdaks2RJZ3UpYNmbA/2UZzSXwu/dNF2/LYUOPFSkQGV0pbZsEa/hxYKxd7z15dx2zUunATZmLMs0uCirj7fEw9c68ZYvYe43rEfzHylZ4f6iPriiB/jtv+QLzcgUcZ1uhExUbCcJEA5voO+W2Nzx38Du+dL+6UhaAEzBPWS8Kkxf8FIvS2SDBVq5CESrW7hc4Dnl2sa0r2hIyoT8UL0o8i+IMXKR6K4LjJ4TD6uzk0Iv+JngHCGaKQS4K+5PVCyUPoYyW39Yo0bSMtSo+TjJkVR+lscd5Big0tS4ZCw3ACbQg8sDx3blDJUYizkrS2bRZMNopUnMSPj4pDrSLqgFdqex3mktYMLjuWE2H1XPjk3HJM3DuiX4csRygmTcnJ5cOMcRc6MYq7FVLdrROuVteVmLRy/P1CF152Q1ejw+1Sm5meRywz9/5FcZgNj3+vLu4z42skksl/Oe2vF9k7ZGXG9ip8DxpvfFtx2bIF4c9GrjIpJo+1EVWx8p23S4h70mBx6CmoCYIUTCKC40Z8tcI8ELBf7ZSLvQ1vJcMfQ/JxOxU2hf/MJFZ9NO9dDWY0JipMq+OpWyvwlose61otGeamFe1N36yF96WbguGjTMalJJGx5HtN4PrqOT3tMg17QVORZ2bH/xvP87gU+2N8+i8aObm7R7ecXqV/5Ps9c4+i/Hy2K/D9HHX71N7/vg7cTEMfuEWxMSu3MX/nmjw75PsG8cSNz21H2wxw44Nr+XDrK6/1Q92e4q800mIdp3PBsHoGaiB03M2cMUoQcZaIV+72CJ2YNUPNlTgcU9Bk8uw1AWAK3TwwuWIdJ9QMRzZ+dbpE7OVUnppNFGziS9IypS/hmdCeu36FFpRtXeNacHgl5lvz4qaSnl6cmnz6OdB6rICrytJYi1QrALToOmsFdpCQjp3WH8Jkzd9btro/1PMQXW/sWo/Dr8BMx+SKvHQ/cmbL35AjHdxTTlSaXPN3RNPvSlP3YxlvARlJ077g9+h2n9J89BnD7wU1T6Q4SMfvwGnOrEr2dGOSEaPvN453/PhJPqTcXkhSnXCQa3uNIvdrCraSFHBA5IdwgzrOjEWu72HWJ1Pwvg8eiLK5QArFSIoBneBFxpgHLUiwtHfBoT02zrS2yOtupOrrKySQCek7o4YUuOVjq2Lda29lVrr7lO3m7frXiv4QgWvOiTJpI1p0y1wklbomCvg5Qkrb1ZO9PDABxXllpxVEsic1J3p7qFJNs8oJM75E3PCJyuhiPeEsVWZ8yk3lB7mgcAXesFe5DyA4XzQPdic1XNnwMeJuge7LDPA0vEtke6SEXVCHeeOcdgH8bX/RL7y6CkmrnaLAU2Z7OzZ6jq7/1kMoG+HeOoHfaFadJ+9Szg8dP2RLzas/DuTFu6zJuQxPH+SblF5XTqSv9JuEJR3c00a+GA8TU03GhLs2AwLMlHUc+yr2hjVVsdhZTcZhbLwH7fsE6fzQQLdDai7WvVBYHSiiI9uKmBViksRgbfmTcazBN0wRpIdlj+qw0zu/Buc0VRfVry5naQnaJ9QysAWAE2NMYHIEURgFdhIbI5YT6tqTIRa8yzuLRV7ESTltj9FjdhQ+nCCbvyFxlPIS4ohdlPt90sBdxeRn91r2yQnd81LUidxfRgSpO/rbag0tfdYTO8oPHHiZ6NnOP8t+aRNr5HF08iPg3BuvZPdtHVIqXnv4mzKUZxU48VZMfXcRm1u60Xo1srPfMYJ5dYoewC/8NFS+AWlhRC+a02syG2q363Ej2KAMuy2aKckdc+lV4S7RyMQLRagHOA94UZCKaMeJTsSRkwKzjJxMKxMC4JeRS3DW8n9+Hwt0VKB+RvFnws5z245MrkGpIaDyN9gpVg+8DoFBXfS0efWlY1m936bz/EHc+drfOwOpWz3TqKe+WHyDSsk3qmoIVGX9s4Jt+l+k1AypJ96TVTTIbEDi4818W90h21h6/af760LMMDRKTyxPWr9FVbvBgpYaHNTdoxqvSfacvO3FDOcpCa+rz/UaQnT4e6s5KmleTZTOdslK7cCT2/layb7jurYZ+sFInJ4Q2MJaw1BP9ZKQ/y4/3GeCjtBbCG517gIrah/0AlQst8vRW7weUsplX5+H1S2JX+Efv7aeo+EnHmHrDOcy/AO3AU3zHH/HI0wgjckjG84MaPmjZvCHfjcS35TlFSUTGfSgZ3z3209YY3RX3ie5WzCOxx8rGu4HLMKXODkF7+hnZ5gNg5ExnU0GRoC96zhKidMqypwv/SUncxcr6b1SJJV3rA1+CmENmEYkRfaXQJQdNrMGR3M+SnRdqP4W6qPsqbYrsxwiKn52IbmE9YtYJOZd272zFNnY5EeSM/i2a0deCl1D9y8anZ/W1rRpyAVSHCuazMJFUs8VDiPBhF7UpJi4xD9M0aCFXwFvVhFekrbzmsgRGXUO59YngP49WeV3y5jcZJGlhfI2RohBnWAUxGMJXEuQYRFnPyRwUhZlI/vhbJydn1ny9Y3lyS2c4382DTgdFWlzSQyb8C74XBL1YreENO68lgb2nJP5vu/3oJ+fgdqsOYid3vppCOBcRDkC8BIP586bCawIL0qaTaK/7XErAB5r8SCgW1PpXv52Wsq4Xp64VnAXTjIfPp5aCKqxzomHjtMGtKIjCKWfHAPncT+SayNIPwJzFsLYEYJQL5bJMb5P/9TnwzttKjJX8PM4O55s/njSPEsnriNQJk0Cstzs3oPoz0A8O87t1QkxQZraXYJ6LiafEsR0FTeYiAIa0pTdeu7GdPjVT6kyTvzu4k1UxLZY3HUfaVEUpqdbLqkmXqa3FQfN7p8kQe7j0v6c6x97/30zqLwnfaD+Ehn1Ow92qvb39TLV74LmVLLp+iWd2xhFz+4EvtJ44nXSWCRI8ZyAzkotROSQqKJE9vkGgk//mBPpmKWpQZPYcXdhr7vAgYrwBIfFi315LBAbjMTYBzGif2tRp69SIPP8oRGJaCSkzBVxkYFRue2eJKI0ZxqU1gd9uEHlVEB9ENna+uEMhFQTEzSi1HPnClhHbJTaGAXfTjB7bj59uNT+HHm2pmJ3e6hV6RLUd2gXxwMA23K9JZNTY92nHBlKEAgHYmHq6vTajjBnuJ2UtxYgaZYuo8pisusJMpPvkUGNzoIbafSK24XrcouhPNdbprMLx2lm8Xh+mSWMW+Ym9PGFz1ETLDNEk8gVqHwdmtNDgq41Jizwkh3UU6d42gkKiZgudWovJhLHlAOra/R0K0UwAz+Am2mo6sIsBzCiRBfNaivBu7nKwEV3/aFeb2dI4aNTkgtFu+KFFJjno1xfl0EHy4UmJ2BV4fZ+VxqZQvty+edj+USTRDfkQQ3iRLfpayQ4OcBhrqmiTxSJNaJHu/F+iVH9bt/DpwICsqKd7MUpIxaFhgtHXWeVXEwnIXmVNdDT+77QhD1rRTKVFUX1i8rt+38Xrha2GOQpMKjHDHCf+Hasd2Pr3E2fqIOjWtDKedoHlJRUgKnV6WZB6ZxXcbBtD49l7pR/FqFeUGhAdJJrdzbpKuUC7KoPE/IpBIX2W3XYHVmFwdSXfezQsAxMxShQzUbhRu1lFQGvz80rrL0tecv6tLNuEU57GHhXih/HHIel5GRHbv0e0uAKzt4ClmUrUrp77hb5dc6OSOYEeCC+fW3tyT0Yh1r/hsi5/RF7cv/4lRLMM0WzM45wFIu+xPAiyQLKzv+Zir0Qx3NlcVJrY50/rnsJKdxgijuC7+TELcNbi4h69jwfqmOiJacaM/pandBpFLw21i0MiE6NXZVJrkFOAsD6Z12KnSxsMKFhIzYECvrmrQHRpYiUvazkUg1dOmqdhxFxB6/voGs4P83GbFX1HkCTj1qMqrCSKmYG/LmVwuVgEIYIjKBJjbPXL9HCICvXgg7h2e5onC/VWZ0BDoC2tHp+AHOHz+Qzx+lFBO6M/t0BrIFn+8yT0hp54IF/vyJjeuLjMrncm0wn67sFcy0V3gt0N6XRTSF1O75eiMw5pFNDWNkwjLaEr9qEWlpVfsZPJGjXoDSv1VhhQEL1kTQUuturBJBshLAZ5WNWsZ4I9cnF75aMGmtaIrfgGqguwtQ5f2ZsHzSR2iv4lJYLdWyiDvLlth786T55y+/c0pTc9cW8BTCqnMmAuRXuAJzYMXAO5oV75esg/8b2n44w17/zakccg3rvOYOXGI38o04Zxo33We4H0KLHVOGXAnLnRcIUFWKHJ6ujyBFH78eo7Ed0W0QpgOGmTkIR3TxACRe5ZJWpn5vJHVprHMOvSuz5fzL5D2I3flZuAXIjUTp7iVywhiBJgkuXFbyVNnk8HbG9vyDsuaXXki5VM+9CTU7Qu8vyC7+SEruYgZu/QGlIksWoKAUyUo/4Czhv8vDrblrhxWXUmVdSlgtrd+stEpQljT4y6PSTNMETZK/3TflS8UVgJJs8j6FB+P2Imeq9b5qK8vJSD3eWeYre7kUhT2h2mCwUcZtt5ZYI70l+lSa36sQfNGlB0mqJ6FfWE5ciwEhKc+9VuUGZKTJQyfNuYNo94qYjAfvc42Kf77Vq1ZTzjR6Mz9Q4zTVAYVBijlSGDRNUYeUNVRDSlMtCXdaRTGYHKpe7626NI4I2f89nbS7pzlC5ZrVPfdp+11EZkG8lHhiPlPPVhyVvxP3/2As7m3dRiSUdXpeCoPPpAVzTEB5Sebzv1WZEGupQyEINhwwl5JROMMIt87LK6+gUTdBodb1s+B8ukwfcV2AlrhmUyeCG7Rv5cecZIAnf9+HcLG75qiRhUpEOzSXVnXV9LbhbPXeOLcaHId4VI7sZ1iC57b9WnmD+MSVchSgH60CtFXtrF9BFV5hCDNnOREs8J7YZsLFhnYke5ORTlsOLJ7CvsYVD/SCBjGrnjoWmrBc+kBBqtUZL6asz4WFYfOiol0DjExXqO+P/kGRHLatIkSWXCtCMS7sWd3VZPWOWU4zzbbHnI1TxhFrIrt3zLFnbvv2M2MMplSPQUgAdEG2BTsRlqNYlSVZmcY8FuUqpChAs1jPqRh6SE24Y0DhoPYA91AhXjUuooPp1NXUnOzEGA0m4QDb6MsNTD5QK46r6QbJbzQ+9eCHfYhItrvyiQcqQ1UyFBwu+99YkZv/t4Z1gv63hu+P/61h/zHr4Nsft4AiJe3AaX0B5zzqflIGTe6PRxfoVo9Ym86tkS+JOHY5Kk0TCLP5CmCgR3XQjmXEJShWnM010pPLmSF+q573OarwXC6exuaKcmpc7pPd89+kthFH0IQuEW4Gw106KFZLBRcj7Kfp8lExuHGM0GlK6b/K22lvJOX3QQlJS1Hu75fS+XDdz4LIORWsM8H/1YpToUHcQfz5y56KwBVQ7jdEgqhib0NhdEeTX7aRE0XckC41auQuI6kHPfcK1NqcSyOjIuo6vrkheMsJYXz4jMuIQ012zYEJRflIXAeKIiE4H9AYZSZm+v9kZ/ebWf160Su/p4t24f5V3aKU0uDTzNqQZiYGJoHmpfD1cUUgnxRJ7yWoHDujWX3ZenExM/hxVLEbMRNFVm47fcvab2aN7EJ28+71VuifiwEctBINzrxbDyC0OjYlsnIusQXtU3RZfnHxltBc+JJ9qXpopFd2RoWMdd4m3plvABrvRxY+HoZT7JIZ3faCDY9HXOHYXYm4esEaUL+nWkfa+bE3xF86l4dOuJ+r/Rfy83GybaecWYwJwdF5luWWSRwasVAgJllnuUc5QC1mN/JntcpdqtPYLwpsHdRKTQxNJ44RF1tPEZXrAis6lt4sAfGAXZQba1kAcuVQmsLMnJhJPNk3BjAz5cFCdahtKBrxmp+ak6TEam2vKKWnSbCpFrjI6yYMqLhzXLSu0hRcj05d9wf6ZU7iEt/f4uB7Iz7ylXynx5dpnFkoRiGleY9er2/fVZFar/jVhfXWce3ktRr735ZH09Ssapz7xK7NZIksqkie5QbyuzeiURlWbTImyhtTjWQPv+mAjbqR2nq/strXUv6YHlDnJCk1zAOoHXP18AfUNj2mavXYKv8sqoNwAJFIT8jkPAYyAsy4Cq+G2V1fEWMQA3zb/Cc7OPTIS2JZ0a+PyhUSkdyenfcNKtA3so9JQSKAhzSTr9Xvo1GlUfDo8NludqaOtFPT0xO3v0r8XO8OfcJFl2DeS+7CMYY4MkbCnZOfb0CSCUZvfISxgiga6y99DOK81QFuV9TLg7jsyRxZql1X819fICHrtw+0Es1w8mhQgglUv+auxg4CNixc5N17jvTJC+PKcfu//kvAYcMBtjq/46zvCfiPUbZb6LMF/ECTrQN3F3CGCHSIR/IZPBsjY0TeKEMZYzL2JHpC5h4Ho5m6iCC+6N6ahG57vggUTRvM+AV5E0HWq87oDD7SoSuRxGvPhg8HaApESXeaQRJLJv0SM+yIyNGJoXlsGtAE3+mHGKFx6IEu4Ry4aijt8cCUu7vVNzDBK8BszpnaZjsNoQCs912JRMccEb+6nzWZA1p2ZTJoGu/fKne1//nlD/+HNTSbJjS7jNPrFh4b8N6LmwRo+3alwdH/dnF4PZAnz/F9VXdZIhWIvvvJ5RrAJvSHpDcecKnFw51T6xNUqa0nXlb0BHqgWMA4gxLWCgjktwPNLrIH2n5x7Ti2qdOzCjtbheHC6ZyZ0quGWL4+QgwyYq/428WlcbsANdN6KIRye+2sXcC0dyTwbdulHgTsbWVnrsk8/OoochYmOtqmknnZnZ8AJhDN2GROmnjkiDJ2/03PV80vLMYapz9Kn3QNOz1yA2QW4nM0c0KpCz49sBUN5ft1EK9xaeJ1slZ2M1fgkpkJqbNDI0yKWyLEfWw/H8nnkqWbtlxvgaXWIb6DTLBXfeE+8CN/JfcbIQdhyyuKe4mQD3iBSNLPJvq2ShG++8J9K+exYJZi/sjD0FiffcG+nXbbSri9l5NyAZhSGIdZanl1ioyjHysM05RFpBKOAatIO8PdxB8bvmVRW1I492gqWy0ywYIrHSzhI2bAVM/H25DYrtXQgEK82CcoB68a9oktGmuvui2RqGtpKtyme55HA9UfET7x/yq6W2rkoD7zhwO3lnUmGdwT34u1YnCLKfmA/hptWZ9F2ZsqjpdOW69bLM2szYdA1tVmEMpqrby0e4X+4kiaR8oH3j78wy+ROdPWF0Pu6mSdN+xwP67gINw/X87qavFjccbhe1sulZhkfPLAiKG3oaGYcZMP33hH0HL2On24FYKp7VVveSqae4SMXRv4+i237DOoNklsl7jWzKS/s3bH4x8vXnU7zTvaNtXiGmJWMyTRXB600kpsZVZjlog+vahzT4Qvl7Hs9QNov4lfhhezEWcc2c+nzD4nmKC/JNCqrWMMyZ99dj85UZ1yWxswbHiRkxE06p2MolXvZDTpMwPj0x8gTjr96/r0laPvwf2sMIyW5P2ZpqRaaKg637PXYRmADKtiH0KXNx1+X7rCTGQy7MRwL9uGHALUwRvZjag3fymtfz9+cm6MLVscmpH3ZkBBVmsRpjmrY8h3KhYNmxFqVBq9jYmbDrcfBV8xTZTYRJmFugbo4hQYmpUCBw75SukEm60Radw/ciW72bcs5iXe62IUyBvDCg3CpipF0wgkeIeqli9ghacpWXiJ0DN99zf1RS1zFJzG86GLEHM6BHrvis+yjIvS73IdwBdUhaZpeeM0ipJSpqrHAazAiJk0L/2dFY8vAtikwyMOLyEM7kap8/NmCCH+W7pW0IubqRJ9czHZFPg2R+XzazFAveXLqmh/eLeGq7m7ioBDHNea41vfNoHhh4PCHzptfZbqY6WXbfyX90V3PqAOMoVWSRAC6x6eBsHgKhI5TFflhFYLu/oCmxdDuRlaOY60FN4sby/UeTZedCP6+F28w0kGubSXTXDKbeXJZ8OLpn36Iasik2e4x+v2yoH/6cllMG4NwvvhrpcSqJpFRSQJrqhTXCxYgSNHluzAqevfH/8cdbgmIBl8OK8/DY/7vtOPyiaQAwftwrDe+vnNYdBhXZUeX4S7YaZpwTczEG27WcV+Txzwu+CadnB8W/aGasW8fJpAVDdwg3jOpEHduPdUeA1zbcZCiyYO6qBUIxDGeiUSJ4Jgt1G49wG353JzjbojYRCXiArlBHH718ef1czLKRLtuBJJU6+pfoi2d3uykt7syWXoJmIVFd8GP2hXP/RTZbJG0/UIL6Voef3ijskl7LsgUnKLQRzgcL58U5iJfk2ShphaAGMt1pQaN13VzpUGtRW9Z2OjdRlQ7NJt5RGG+Y51Jj/MYhGqBNcPYhxC2x+foswW3ISyBjiXNN3EUQJuhec8px7SQyZGHMiUWs6ximoToUxEUCoO2Q1Aa+YGLDG5unuqegW/vsATdRMSJJUgDzrChxc8UQnLH/JweS+DihEYkxV6HQ4lRxdex/bQ567wrlHbf/Fby6h0dXRsN2joEd6XIVlEdxJRHOdS7pJIlC3oABo+4QL4aUfK+17ZZk/1dPKJP51UrlWd86fdvNScY7yUhxkN38sLOzBvBnuVbc+1e5AqtgpCXgmcsr+hpjNrvqRvm8HjceFqfx7i7nb9X+YcZFCAdScx7Eeuli7JZesa5t7Nmr7g008nJQc9JWwTnu5IXk/9ICI1agML3l48AOGop1cznZpoMfzDLVEYQ1WzWg4gdSDpfAIGRSbql3YA5/cxb/EWo+thCHvDFAYMxC2SjuIsrn2gMz2zgloliDs5GR2UxlX3THQH1UfUY6R8Mtv/0nmKeU8oaLj1cYF0i1eL7CvrdYq8/+jTYdWofmSCM8s7zHSuK0q3A5A0fAlK+Lyhn8Z6ibZnjnxF590NySJ3dp2ztSlOmjTCLMoUGLwUDBLLhT9+2wahVjkoOliihrRzLFOzASkhdVaKtued+du9tjry0YCRkJVsTKVtQR8kWNiDe/FJ/7uzBPLqJqDYLwoP4lYE0Umcn7NpHrZvwBixj+POsBiqAGriO53k8/JpVqMA237L2bh211Oc3Q4K0EptzquK4UcR8bt6ji83qkgPL+9GtLfrp7qku8Tk8G8bSsAhrmQubabUc9BnVJp/myv8KZc+2xBQaxjELXl4bgHZEBnjhEXqyLAkScadEb9fZevOkUiGQAEQFt9W6my0TZiG5LGKHQAVI4wgL9c/tV9ybpzJquWFxy0VgeSfiE7SqHh0uEFmIzuA1RGwWClgx5zQaoAPGW3TqEgfFdvXt0BUuNdTsZI0pfDrvgTA/t+Mn4ajniI/zo/UX2tKKgX9L0PvZ5IIu50IKRC9uh1msRjPm0z2TgBeqmA4ppJ2VnPD8tpAs+6nyJbGUX+gc6fNb8kypo85F4Jiq0PGS1ShiqH/VNnKl/dP5MrbknamOM7XJW1yciAGVdnKH7Z2cis39HlrVmsdLfW0Wy1UoJ5yKx8qL+hj637Aj+2NAjTf+J/RDWo5Y5PG5OHCN2fsdrM5AW/ReISvbtla6koYgc6FsiEdIPEbbMkAQZY5+7biRyaQw1CbrGWSyi4yUHVl9/OC9CHub+U1TeUpDGHQAK6OtF0Czzv/PG6hPIHp9niXX7WxBzfxRhUrIxaUEpkWnULpZetwKs0BH4QkGgx5DomzTOphxYsGbzp103nq7+1BMYBp1EyDSpFYtTrjvHBJbZXU4+2MotnbOyGEgPs6CbZG3XNg31zk8ow6qzwzYtBaTSuLbkrZb2d5JyRS5v9YHzYI3+9yLFZW8qvPBrFrFmqK+ivm1xKAtsZLi9tNusTHpdMqUdvFCSG2xUMWy6beoZCaNM99PILh+gKZSS4IhrD7IfVeIOGq5jJOf4tpK4rmeqbgwg5+zwhWD/GcRGdjaSV7GIyGV4jLZCR/0LPU1AfhoHg2vcHsJ+FuhTf/RfZ+ZvIqA2pa+ywgMOw9xy8P9xgmXdcPN1BwWuunDc7if31BGuNyFvcvXRhOqfOI1NsjTbbQL/77N8LKgXWsu/PIKa/XNRKOHVazPwGpCTvaXd68REc3ZTIk7rsHWACjYVsqk23nuBBHhym2tGm+8AO9pALZ3zdnQx9ksTM4uzryScI1CuYocLKbbE+8QugzYVozaj8dODJrJDsBHwjo9aO4V8B7lBX8xfGJQQynQjWqyRBHhp38Qxf6/SjwijeNmm1iAUiKRqBPB1KTL2/ClwKLfkd1XNSfoYtGD6rV4mVbrbyjvP5OLMVAM05zuasfs6g356ZVhcTT4yu5a8pGdGqNKUs1w2AhaQmxY5KeokZdRu6dA81gZztEdQVKgRQKZ4yK7Vm2RPA7/FuTbhZJP/wIorfBlW8inb755itbiYtdl6LIlXne5YigA/pTmUpl6vUSv+FxPWKWut1EhIqZukcwnYA9InFU9aBQizopDvHUsrxMPG585lR0XypkQ3+A05w8sQ/F+2fL8OfkeiNI8o7XA4mNj1CNGYTAQgvRlJCAQinoCOUCB5aGQmh8/gqRlyPXMxOkNgzzewes1/wwrGI1qxn4CHkmPJA4K21PXbtum2Ybrj/wraDilycE3f3ZeFVlf6PafKkZmiF21GPJ5mfzV31QEU044jALnJH+f4U0Xvfeb7200kwpM7OKdT2DbWXRfKtcZ4Sq07mindMrdAPfkx9SrLYEnb3b8m0cleraBFdc6UDtxQ7OYDJA77z8kfWFh6WGLQcf5zxN4lkuyFTdbQR2qqP3V345WvT2O8h0FJIt0bLO2S7VBSYjemFxIoKeqmcCzRyoNRZ9A0HgVf5Ry9f440iaJss2WlvpKc/iLTZKdK5wwlKrVLd/7/pZ3njiF9Vna3YUZgkDsW8rayT2Gyq0lSs254ZGz264ASTgJEU7LYbfNGVPP9Gs84dPaLLo3C3D0RR96IiUPdU8iR/8eTkoPIQ3BGTA3d6vxNeJ4mdHZRME+LGrW7Km6RWrEZFGu4Ael3UoGtVVc9BbBvfLQLbVrpRw70YSHTm9kXizQu5laqJjVh/PIRqy7wJVL0i8AqpVkyruczXLka8vcdFgfQeIWLC8LDGeR+bLwQZW1HWvkM9kzVqvOtFzzUHiu5sFLH3LQZEmFO3vaJFVzOnbSJd6kI2L16IwA508t6uWjW2PwR6rbJuqZL+bhBlB3vaVgTuWPmIazVzIFgkg/gnn3yucnaFKb1Aw7DznIQnBoGCICofN2UfcpYONS8cfOaLeAoR5CKEVfxvBV6L4LeP7503fdojNT0dVWM1rdKlemJDWUesbl6e+a03QMxUwtHLui2PhRnTykp8aU7Ukl7bbmw2Zc0hgsYD9NnPQGpcEkdbss1qFwpMEANQInUkF+aWKYhI8jAcKszVxFgJ2TyIX3kPrKje/bB9mF1ETvyuRYewHfvKQOy3jUKUd0FKkLWgBSqoAaV7YfW0eM136qDimZcR9nSgzFJ05LKtDnZxYvF+7Wu3FHT/8MbLjU8D2JhYaU+1QjGIFn4/dpkdmix30YuYCJin/2tAlE0rXLEbwB+948Rsj4vj5ZOUNSiXkv+joCVrU1hzIgxqNfpPt6m3/mZ+EM+y9uzUc0HhOTVseG4D4EA6G5GAr1ZTeTf1eWenB95rj/Y0j+J7n2HvFdlP/eP5qvu4EAuqk+SBqreWBc10/JkXuDsD8cPBnKL0CYt9a0KK8xRkZNMO6lCemeHvJv91fnnSMIVv2BnzEAUa+Zop/m28e2tx3RQOMOpK7RWGoMONHWUjiD6vZ0nChehlctui/uaBaaHZ29uDcii5fEfJZmsG3SfdKuKTIxYjewehggXxVo/+yqIo7A/B1bgPGw5adcapy8a7mwghpRhNWFW9BVznhmIyn2Bp2LDbhVYlRC7wsOSCNQsYZHzv5zQxOszkvzpyTHwSVHStTx2gJjbQhtDL7mNupj7M01uqQYuatnGebumJ3eIeKMAAsxwvDTO0bntBC7ZRG8Lr3HJ7rkiTPbjhaxGO0Fz5cQSaBFPAUtEzvKYrWy/Ko9m+mX4KiCVM3/aCfP7FfNd7Z6AMJS3bW3N84XXzxgJKRffPa92Gl3aBYAyUtM410LsuP1ujYM+LBGi9y766ylNp9v+R08ao17Z0RT8b9ztMsg+lArM+Vv83pgtOFtxnGlfxF3AWKdDSJW7F5EOT6SOpVvKuUD3gOXtoeuOX/t0Au152l+U9ly9tkiKj5dLtFIj9XQerGRCtg5dCC57+FRsaTwS6lyegnksQVyYsMHo40Xnq+bwjRunTVAmrNaC0roSqmM4KTjiPXIQtsafHFSQvCQQxJCJ7TfckZTUARPNtOsPuYCbTfMXDQfEAEosoA0onZFyDhDomygNeQq+mUPISS0qd8C00ElOpGCSz2fZfEXYp81U0Nv3srCh7idh5Y2OsOGub87R3x8lOfBy7prBZDky98r98/60ilzxLOj+FioDohq/XdUKfZCnaOq1/fMtQdlD1+lndiYktpEfH85FWBOdTQX+JBHf7LYSN8zQZE/8AXLYjhMcBijdWM39ES5QMAfFBujPsBMhFH9R899FlLyxuKeEYZsp89ZxHSl6TYgMtIVRFHPhRRn7Nap86m5VLV0RbA9tMK4bTo4ZO5xznn4HhucYSLcQlUN2YwWrMeCoHa0nLRXDrqoy7OCsp4aPb7+JYFX80qfHpi5cYin3IY5F/MCaO7buh6SC8l8KDGAtVXIgOLqNzy5dGxRgYijdK0QOd9CWNrx6ZF+BT3NwfMQBKhVa7Cgej5UHsMYVilZdk6Wi3oWGerpN0Z0PDzgoyP03KuMWE+iHg7244IP58y8AiF2KXYouI0Dh4YMmSdP6jjzohWsSbi3bFku+VrwTZ1BiQMfZ5ih+xfDCxLSXOJfSS37WqzZFo0WS8M9oquR0VB3smMEF8QhfuPUy46/P5GbQLHNLUJJ1EmRTkNHZjQ6K0wKFwHTXffPxOZJR4q+nJnnBu+WwJMkbhV/Z8l89YQy2wgHiz/oV6hGBHrKzesFOz8Z60AwH0Dbs9KIE3AoowdbO4ko6pOPr/GZD+bAt5w8nchVekomdRmUuZvJZpCVyjBp5XagKUrdtH7OC33hkEhmELydfSIDWYC9Qa6e9sn4J5lriEZvblrYE0Q2cA8eBegvC+lershFz/jz0GSIVR9ZFJQCHQDJkf+MEOioAWu5Ca1RVTBOiv2XLhSnrv3CIDbeAiiEA60zIltXbqeAJ1QtEIh6QRCWnVNke+SR1D+0/TJb5xvGuE/fzxxwmAH9D/9q/+3ajkS8eOQef5V/lYp3g+Olua/bOus+3Hgt7MBqcA8gt1MvMmfJe3XYpz/swsfZ+Xn++Giw5gO6F7ijHacvJnK1Lo99mfTALlVWVZCSSXP9JqvBV7rmjEQGwlDdr9ntY82V0i1crz7389KUn90AMd3wPK37dVyEY7J0alTvo1qayOg0Ua+z48BB6Tv/87sENDvGQcksfV+E7wLLwiiP5q4BkuwpKBREA7OPwOwXqIMh+a3K6cQxmKvu8BCn0EeF2GlMPOY7bdL6x8UMAaPgdOYCW9PJs5TYDuqToOp5ybu9Vv6lObNKQo52V6EYblmf12fdBdbfcDCBQMbB+6PyS6iCSZ7MWiPuIXNAl3yu12vwBHuP646qhdN67pcmsHTo5Waf3kvkOG8lPS+BDRjp7dqGmTOyiz/nkrgXMD8li+RkI0+jcw2C2hmQfn5YyreXlZ7Ap5TYIrYTlnjt6yGHp3cCuQf8mndxQ1sVQbq90AOjeN9jCJ5BeXXRsvixnsQ+gw4ncEKoQ7mWADhDRYlAQygYX1IjbrAGScuatStyXJPlT7QoO6enA7Uj/u/Zqj3lnNNi5707ztV9phtLz41Z+KGLXxNmBBXXbAgiDKUjfhiwAOmDoPTBvAB1rQLj87NvWoeR3nX9iLhZQe6k2mmoLVwzTcfTV7VdezYuYa5vHBWd1tZu8bxjt9kUP5Em6A/fX+QznrbL2+0LCZfvugjTSQYg+n0j6tNhaplRTWlHZVuAcZoMO/hnSVHRw4nYouuHCq5T1FPhXUQ4PgwEututtzSmklbnIW7CkWDF7Zru36UmflaEkpGMUR8t/Va6oAYyJ1HXvMv3H21wMyIGXkEKa14uJtdi6DGTZz/hr5uDnW8wiykYxLB+CxWrfE3QurDD/tNeXKGy5NUJwT8I/cq7UhQGPqNg7gUURtrglWyaDTA+ZvRmzI0Vufrp7oH0Dfesv8/6+XsiqsrLVKM0HDIIFhtWOB1nC30BMTu8vJ4z15vSc+r2ntcRFbF81LaVrfw5XiXn7voPw0XdEBxbMyyIAonpgeeHucKhIKCg8xSMx84TFfcgKHF9WGJql34aUn8pFY0+YPvq/rCg89TgCoMEJhY+8WbMUT6S6ufRTWg9IktSRItzlbS2WBTYAr7TzFRVHbs29Ypm6f3lOiEMEN4UGUP7OUr58fh/Hw6c+yL7lB29V7wnkShDIHF+V7Cr07p2trrcRg07+g3jVsNEgicADtLgVxgoaQ0Wt60HoHW8fvfG+wNxFc9saTmnW/8cRtxuXDp32hkxqd8Zw8ivqPFk/8Y9wCsvcy9yGSyWHOGH1Xn+AEL2AJYyv7Nsi2HMRvsaOprwiHlF8OQ3a20oy2fQO2L5QIQOedPRvDBpIlZOo5kAZurNlZO6gM6BEa7T+qjfQJ2iws6J8N1QjD/JzFHosWJMg0rwMbxItSHreuOn1kPCql3EbDW8tm9zaWyF7EExnHOxtvNJwkjQeu2VinRw7CNPgCIt8LxqVBsRahEN7optyJdDi3eWJoKMIYe4zb0Yijj29APA0xmLQImxTA+jgUkofWd8KCkDnyzvbecOub0ytIrffIkzvIBNx7sTJ2YxuZDz2sPf4OrU9B4phB7LYcoYRNYF1WI6bq5IpUE16hmVpWLPlXlpJ1Sgigopmdl8mHLNA/Wwm8Wvyoo0ImPgMiyKmgSGwCIiHaEE9mT6vLIWo4VLMd8Hb2q76f5T4/8wKZq+0ro87jpUcxOTx9HwlJxfODtJBI1hlcvIjeV2+x95NHLwnNbKZBX/rKARVD74qO7rm/I8XZVv4J5H9n63xJtb9l7tMm34sRa0LmYYmYxRsXpT3TSnojxCKdTWlaPr/5cIuMNn1je07LD99m0aPDdXmGw/PKQNBFl/2ZlFGa3Oc0y9Wa2QxybES4HczUP4qc7WJTL+1IaQV2gttk6eO97ugka7IiMnX9BoDjQAnxWH3qJy2h1nYXkMJJ4DLmY1Lyw1xs4xAMzvFG6f2NibnNvXHgfCLrhKm3Am9dWK1Q/3tGF623eWno1JrS6uexfvR233mCg49ZOnXGUYHuBNbBspIEsfyW4tUFmHxX36am6KiFolEBgt5iuasl6VuXrZCN8ceEgJNNQ+hiULEYY0gZPkuw5EHhxP7PtAjCgVIVwTp7DKKKexa9r4krcSIf+s3TXcTDbzteNsqyfimqaV+WbdYC8j1//NLMUe0oBq+1DPRYBBHpMZcpoQT5Ne03lmvZ9fzf9FlCDGlzs+N7FloQlg/DaBUFDSsQMk36JAGfT4vtNuy8ysgOBUatjwVJCSijlCPTV8UW/o3VcTJHmzEUFVeuImUfvEggX04mTOPTRanvNHUhFphL9IfRa42O+GobSrLR2McP4hnva9RwvntEWeORQQ+GjHKHDVqBxEKx0M124HmhQg8R6pVf+8ZCyCha305atW9xIRM+YmssqDCKt/TdEWahK9Wzt9D8NsGfBS97azkDMN4QFv6nY+jCA+NTnZoifx7ufDuHdLlQcz8/7Dn3uD7anNcAYXv1O9GjMyA1ujefcR0o+5Qq59QLelPXdnp1eDwlQfAlLTq3ZS6sFNmLxqW67kr2/as5YfGAPs5a3Rid/FSa2tRS6lfoXvZeiDkCYC4ioL3OEl06niFH6bXPP8aL4zXUUG3EKoSpBdTvaDLuqRPG1OlVbV3CgVJdtIssT20RvGQzNb/B6KisOuhfXCu6phqxxOYsnzmu9yiSa60/ZdEeHjIcBaL62EuMrOYgLc2Xi6Xpg95d56Mn2KKTK6famLM//5Oa9B6UEKCYPDuI/Xcy4FkVZ90Eis1rQbFWaOe9LxuRScErM307VhE0La5wPU/VjpjufNpcc4MdKDvV4gWOAHqlH6KsY8uSVLb0LD2qMbJ00WiSlXCyq0aVhYQdFqEpGkUqqDPZkq7Nu73v+5IQzQec8Cz714dA2LrNmlkV4i8bNMIDlQ05/xBl+VNumjxOaG9J5Ota+r22HDNuJoLzQqelYBefo4r33DV1IC7bLSK2kY0LjihGitGyMK8FlGbq687bHfLi5egMJePjq+pzPxcDXWtLpPI8fcArFjiIj3Hn7XepVHY/MZ/nk/qo0BuUY36ZRfawm/rBRtES74e5PY8XNbERIChj+YsvTnCm1hSUnrcEy39LffRSaOS5VtVYW22DGqdHZ6djN/Fl1FiR/1gyQ4hxgnVAS1O2Vu3F4fVMMsgUFPPKrZpFI4xfJ4nRIAJera3+JDeMAIs/6hpq9+iuoXQJxRupqaei7rdXGrsmiYEI1fDlHIzeCytPTYVj0TDBgqI7P3KRc83FpBBB1tr1rB/J3AX7nVudnO49XD0fkjMgzqX33oR+FgnwtRmLG0jEiE9qnA29eXVjUUu6bC0w7JOaBeALRl7EuKd0VJ2WUbg+JwJ2tVqoa0Lwyp2zlNCeloTI2MJ/OwO+zQcS3PoyZlY5tOI3RR+PN9Q72zwyA+SFSgJUlHmCjWXXJJcq4BV/LOAKLv8UYRqAL+QstjiaMASFLWKfOO8rHfotW6HPTIdPyTk/JjjCgwAg0v+6jQc5fmdHQ4qFBdgv38kJb9EVQrSGza6easP78cLOd3WFdBFoPzd3VHlZa0H1a8kYw27S+OiPMm6Y8+k48zX3rmepQkL2m1HlYvWOzVQ0xaSpu62KVeZTTHbxdzEcn4sLLVAB/O2gjmo/KE95GXR/09Ud0bkfwHmE1lsMoKv+AMuLmGYZbbDT0qrtD8eUPq2ioXWTEhWDE5Hrxt4PVeLB1kYrwxUhbISTESuemZ0Plfkv5l7fGUsfX9rGuSxyvyxldXQKzH9os7tI5vssDOR71ZcSuwL+bV1ZTDuds2tFzdAFgUWSHef/f4FMdADuHDszGoXhL2sXSm65Th5wadjgOtXyy0zvFrmH677NONexfRgmK3LaCNfs+XH/PKlrMX/yokHLRPbzKRNspKu6nZipbEqKPtCQqYtDjTQ3ZkRuWdiNE4s5wTy/dQU3pHXOBW7vd5hHti1u03kFgFYvloKwmDUqDQ6Hq/QjuIRu2FzwcTJU57d1zGCgNGRbG2GmbPkaPUqI2ChsfZZce+hjwjPKls+a6zvBBC9wAthaq3XJ+D6sdZXjGu6a4ektSIXrvfKl4Pr5nPKvwE/wCnvLm/CTtfkPl6/3Uj6X9N8mKsJbCMQZbVCN3Oha+H5s5tyYR6psjYnfDQbRPNAyPRVGk20j/FH9LCkufRWah38JXXiiRT6s0kh7moaCFDkw+pQwaj5DyCjyDY25DSdtIlEEB88jtqbnZlCDc0LnfXeGbO1RvcG4Bfy6RPvdGbKEO79HJ3rMIOwvaPtObSeoqx5I/+CF4WDQy57ha3a3J/xeRqMcimXmG1pNfzRBv8tQFNmCwlXChbS5C+PJ2oEF2wQcWGSJ8RuEGb8HRAVasbTw1Ga/HLpcpNA/AmsS4JMjPatuIHi00RpA+FPq3A26qZhQvdqgfvyzvBrBHaipUmGNS7EF9Iqh+Z2EWk3T+UHx0H9dVQsWmDBgsIPpZq7B2Geqb6cQTR6gRI8NjT04ai3BCDco/0HC/VyPBf4MQ3i6NtkGeC6OdTH1sYRA98ogaWn8eZeF94wwKECxNe8jgZMo71DYqPZqLyTvgCkRjIfjnXRnIfOXvvJnMsOrJMMwDhPBG8luMRiRLdgTSk+YBj5tQf8T/aiGzT6nC4HkB15ZJv2qEM9Vw2bsLDs/uam23EHwGKGnFAPDTVsgWgwyjGBknFg7k8C6oqQbj+hQ4mgSYe2SFPYZYZYrF+HbRBsW3c7A/+MjhFiHh4lWEDuOPGGolxzhN1Cg91BZDnQRDDgGq89/WielCdcthsUJY8+ABwFArOqNjUOXq2dFJdneP3UuvL+dBacdn+RfMqMaaMHC7zVpJ0bFJxxj0WkjAcffrQ5tqS1LXv3k2SIzqf4Mm+SwwaZmmDWUL/kQ6PgvgdIePt/Nr+mPrjfU53+0mGfkaiP/QSqz3fAQIFuiVhXrq7aS6//zQtFsY7Cjz8Lahzv0OpOrR8IXNY/tZMFQ/PZ7WTAjfdD/559JbKEMrvgdPaZCH3/igJ2sU/wPQpf7EGUsKjskH308JYscWAk0qFr3wQ7dexraFX14y6yy0Moog81ytA8XFXXBfSlDdSz50PquFIsheZz3+UgTZ745PQkB/k4PMVeMFTjg5HD+zO8aOkOKdcESGivwmr5v0VU5cid686gI4MrUCtKBHp+Gtegvt0hpoEoT1MRFE+lkFurkPAkx8ObCDIlkIrcRL4xGcTB10N97JlAmsWRoukKJkNzCSK4fpAAswEbwS9jMl4WfPSaksN5H3mi7Xnt966pnvGnOzr1Bin1KZM8PA+2F7TjFux2jaUcfImMPxh1WxoGvDmvl09OBDb3ObQGwzcQuWTsRJ7sUorzjEbSYIeKgPJxRwTgN8m8V1OP9Nk0FurYobeujSjCd5D1AIgOSN4yINh0eIkTLiFlKX+oAbZZiejbBk7ZMLfXY5PBKrh+5QcMM5nb1/P7qrmd+4WWtOeb4YzwpsT9mkQOAIJDXyQPQU3pIMxoxyL+ugOhR8cas0KU5WON1S66OVOac0eKwS6ule9GkdY+EkJcRbc7MznCLU4o6Y8lvuutt77JRYLOcDXCz4/VoSgwtfqawXSnF+E1cKwX/Ixgbx6CMeXOFABQ+b6vll8B9/u87vK2F4+PlC9HemIF0BuhEnnVrx5TQPwFGLzMP7JpLXbfOo1mXaTTcoUoPNtMUBwCXcRmySLsNAWt/kNWWcPVOG+xsfNGz7dBXtakUde1IlBV//kwV6OBLDMD6P/xw1w0rsG7zvlgUXYY/8O9Ua1KuI5o5LD1svVv2b9jrWyGZmXt4+QTklYax5Fi57UBoEKlx9VBc41zY7n7prZxOrvH11SpZlHYcFl4sxQCeGE6NC1ju7Q+qBfHPyYSrz86qoxUDkZSpzSvpLPropmKPTNuBw7bK7DM/76Raxi9HWMVHk9id+43ZanLjYAqcVI6pqf75YFYvcoeXUi9ppdexlJvnk37VRYgGV/vj1mt93M4jNuC8XgBGt7rdyYvDqjiCh5gCWYdpvhqy+GLZzsg+qx4+mWkFC5bOu8ZRk2HY9J3X7QGFRbAtKuUr/lNbaan4kFSR3p62JnpNVUP6qZKpDWxce8rER1pITLy8vqmCQEy/2ubtdK2EsJp+XF9WmWLhORndBSBY0ylFuIbEiyjWwBhAAZvFa7m8psvFOHeV1eEPV10/tNOw9KAc+IkhVT2FHEqgaiHauIJcRhGcJXfCGFWqgw9mkbYM312VL2wp9XA0mw8cCsnc912x5mdx1yl1/amzBWdq435S7Zsf1HIxcPVwHyeGE301pIPJz8uFne/5/v+hSfhI51eAgSOh1yKecm7Lv3JDJHv7LvyNz7/1vYSdpumb0o2L2nzMKFqfMizyNKhMj1IoSnQh42vEx8kQ7NuZpG6dzWHXZBW9+g6gg270GAnLOJgB+uG9nN3AjLPI0WJY4xPjZW/5gI2bAVVLM4U7Tucp2zdnE8lZkbHZhtWOfG2yV5q1307lZolAxvCrz5jn80w8kXS0ewu6szh359XebamqNPCTIS0v9mSVDI/ow+ZyOEp0qjgTB1ZTtA3n1uPtlF0K5+srnqyIYhLsthU+s5twvVBFo+MaBscf3wBTecfsUkdMpmMBnmtEYV4NeEiB5/A3zHAtUHBLJn7bJ+7Z8+9+7eQOqijN8IZB/fxMiiRygE/qHyd9PO6+fB/xnTAJ8iByJVzexCgNmuHt+ZyJdDVhzUNjbUOXOCeIB9xgu5kO4aLCQoYrsPleGefA4YoSuOlyFOCHNDHrGVxHdkzkV/+fsPP0x82Tx7/CZAp5eg8gqi1MAsiWQybBeCdHG8FShyAwRyovK9j6I4bYBHRea+RhCqdjkMq3Pq++FEU0OtprvsEudRU7NQtG+s8uRXfGS6q8S46kMhpU5uegK/EBhTs6guBkx5fOWZ7AkYstniAOlKq3BarIQ6/WqfDUQCFgXfgZEtwfaSW1XyeKcsxbqOGioxcKTZCJQKWoLJZw3+iLyVht6a3twbYkuVcnL8MbVpwXeteKdJLBZSauay8l3ENrCf/JjEjjopg9DlBbzGy/rC8pMp9IFRgJPSBy4tlvdPfZYNZnXQem8nNt6n1rMII0MXH+WMECQyJulXVnQ+7blqOqZTRytieyCWfB0FeGxQq381Cj1EJulJttapJxp+zw55/R51zsOT5aARsQTpJBpUvRl+TMKuxfxDmgdc1NweODAlI5S6LbDyoifOJde2OpYYjpoSszrO88ODDOfBgczf7/CLRVWm2oUyOlPj9YQfas/F/xT0KjYMtbfWCrIRJWlShaeZpxohW0FEZLpnvDDFrFUrwpVmlpf4X2TI6u8MbetUbrbHbxCRYENX8k/S1t6RAN1X5l/lexPOvFX/wD0XM+Ix7AJ53wMGWy/Fh6LQD5nzIz9OJvGMFx5m25jgj5ngpxBimuAl83WFEhFrD9G3FaKbWH/8otGCc8sVHDDvuj6V9QBgbP5+fzvenn15T//rcyowJ+9Xy6h6etuE/agBXDRoMbrNSHdVHSsEchedDqkIw4mX4zE0fNn6V//VNq8rAzuAkvwhXWJtDSkCjFZ6wfpahP6x8jkMoTNn+b46AcVZlLX2pDGXnCsHIijVnFVJBY7FWMvY5t8uSuivLlWt1GLJ1U7YNdAzGko83FbzY3+yjwGujws4CVvbMyFpo8yVE2ObdMBWjZQFxrw6MGQ4fU4yEe4Ku8zjQalzTQ2qK4Wi8GfIM9RY0C1LYrrhBgeLbyUuvBrp4bGL7teJkloGfFhHpaTGvpApUAz4+N50nv+l4EUgV1cgxr/rFxTw7mKz+lc9eBfCI5CG6+Up9462QejlsI3wwux4ot1gC90pbXsqiWZ2oGCLu7OMHHXC7wyE1BW30k91ZLR0Gu6JTiLZmzPyjzJKsvNS96nq/azGS60BrP90CNZvVi5443Xyb8BgNImSNsF+M0/Z1nBxbxvlvK7xQcAoevtcHkOhoBFv/QcE02d/bWp/sLpajkj/JWYiZ+vMfBjO6qI9wnoPzOvJPi5Xv/gCheSJMdQjIXEa9hKg3ZCovJYevSUuj37oUnX0OvR34tlf8Madw2LP/YpRzPwhl+HFUpjMVsWYuqS0sEFpBc+RnK5YxBw7MZbfzxRRbw50lfTmxAkaWXMFMh8eRDzfWIsWVoQyhdzxghk1xZtbE8dF5LWSknhxiT1APPor37ef+1da3WvlqdYJbyuAAxYfmI3QDNSrjx8bWDrz7k47JviVDbEI/qP+O2QRpFEbUwYED0ORS8ZmN7K34OrMqThM9X5Z68cG2gAq5hPFwi1sFLuTTjQWi/pENWoIZfq+F/8eQhLUZ2nE0ipZ5egVHGSoRg1XKgPhfZwsUVdPEPSgMLQU92KLx8Bavp4lyAs3YeBdpoJJKpivu0mgdKxTXrvC19uW+cWdKqlgaULRTX1n45rYJFshbrhZAUZoPtwONEaonNcHHIs2MDACyp0X1Gjs2q/T4ULe+ZRozM2T6taI8UVL8X9kADFKZoKSouKhcPuVfD+Rve3BrJThAZi4e7DtA0TfB6ONNMSijq0CQ7pP9UCZAG5n/2jpUJesBXxS7NLUXJmoZe40NyYOxUyuP4AsOFk0PTnvCjS4uu3FItwjSXrMMEE/6VMHUxvZk7Xz7A70jYdp9NkE01f6YY6d3lVShDlKe8oJKNgWRaZwTBgsDVLxGKS6JwRUx1r6GaV6q/ywg1ygi2/t3IrE5QBf0TDlIt1FY7H3uNkI8KvkBZXYHNzpsZxUuiuwKmBVJt/jHGbU6X1KN6fqIHwRV1BMBj7CtRLq/35/u1XPT7yVImzly8yUzqwcVJ7O3OMfIOgkYfs/HIKS7NcnynKc8M7Bbleu/kk1iljHPxPz4SVB89JbpoM4L4VECHL1apmnctbNFmp+2GyTnUW8ipgotcCmmm9u4Gxhmw9/g3Zf1B0hWsMU556eD3PZ6LO66f6MyMjP4sanAxjLz4tJ17kN4hxRW6Hm2Xi/dw7Zrj9GckJVmccRSE9wLzINYck8UA7Pr8gsM5Ko44LWku2dp+cL6HnHFamKSMot7VcA0ulWqs1UmxsfaQUaeHI2AjuOzMqPj2pEpFS16JgaCiprlgBFizJhqz68MYbKrwnYs3nMlX4478fJVzAYeWeI9Yrt5tc4IbNjF93WniAWkYsBHyh67amFZ8+GE51wCF8dq6Njfy3/8T/C6RhtKxQmJ0xv99uxzqBNhHXOi+wMD2QrrzG9SMWbJudZ8HBobnN3GM/oK1+eqK9OlWAwfvABkGrtQjTHEzF4gg5GvgS44Rhs1FGQeZGKORRw1qRYU5Rue9N33+7HkAqrxIEkBj4+c9yPYFMWJEu1DhWUJiyCRwnhLEsfiDDDNa9PiFMhdiV6k/2LYWwuAyUoi0S7j+djJyKOM7m8+9qfiCOuJ4a3Tt+DMSpufW7naFX1mkuxakb/kA1zqrSK79hDerwdRQd2a0JX1T/utI9t4sa19wLLktW6lIOdozLZkSCOWgPfsM7QvwvnEiBnoDF/7dLmHNSE3OOMEh8o96iYL1kv60HExdwHrhk4Rm3l9EmQ9xisT1gNBBYAyfh0j02ZP2iHphsS1IZxcLBvj2jEBfy1bTWS/p7A8h7cNkwdsQEfXWFH5G9I4lx8Jh5frF5SFW7jiUHkqiVoI5nLlZHVrDKTESuf0+JcYxaBRWhW4rVaL4/WYaX+p+GfM8dRUnZWCKkKB/IxW04wp2SjPD724OFcS4Kivki6s2XAOZCXx++jaUFfOJctVG7JNsd+A/S37L9+b44ZZeKIFCPYM1YU6uxvnsQK9i17fp1icDG6J4QTDtRiBrvt022yfBk/nHzrzULIzMsiM78moeKnyfj8pm4yNgyOUcjD3wdRXvg0uSE/SllYxmx+AM3XJ9IZ4WKEWiSEhYDYRseQ1WmEfeqNomoNPzguFhMjKt8EbO+gt8XnH++IXcFibTz1Dp6zBS6D78KSwW6jLyXWX5dN1F0dIdqKblKHV5QXGPDvwPA8zOR8eG9Wfzdr1IP89rzEusY063DGr0POLq6eBx64Gex+xA0KQvQzGRsVXyVY0WJ8JPgD6XRdg/cjB6DgkQXaOQHeqFBSLIFI8JgqriSusI4Ztt8ldb3PUcBPV5e1m5zQG3IPPLbpa3KyNOnL2xzfNsJt/zpYWh5HioVoFK5cCveonjSMlJwtlGWVhLUUFMsCgpmiU/LM/IkuH1nsMX1Ytu8fSDmF6w7mqE6jaeMLpRyRB08Gjq4ELugNOwcyJsZ1565GtIZRxxmB1DkkYH2s3utHD9m0O0njwRQbSYIP8nokRvG4ZTzenorD7cDbG5aNqrcggHzBrPjt+gzC8PvaA3k6Rjl8mxsK4+vBM2vG4j8iGGgaQHUxLyEkzesPq4D/bTjbDIMtC+Bt5lIGg3Q7HGqm7a4DzDLq2tiq2NW0lIHLNQEhDGHxe9jB9WwkKmTH4vud3G6BCunTl/3vFJ7pg2HWq6amf2iLRlVyVnaHY2nDIf2ppFx1oP144+eg3P4FCkx/5IazyIMMDoT/lmkc2kNIAVuAmoQAkdA1qujwH5TK2SO8qzwHqVIt+fOnp7VNo0qWcjKFcels//9VoYj7fgZ/dWGV3X6Dw+PRx2Si1NXYipIflWHYg3K+ryBY7/9iC3j11t8z6G62PNHOpQaT6OVGbHKsIY3XyXGPIguBAEG/JdHCvNHDA7OMBgVu/SZUIFd8HslynAcDXX9SDF1Ev2p0jQ+hXrsxSPBblRmHBhP7ZbCrkzPviYAuyE18YK0/Z/4u+1IhXH72UxO/rzkZ97SpBvnXyQO+K2gAJSVb38mtD72DqSl9a8Y3ba23ni4dqSEy9+aFQGBALTac8ci6nKsgxVhoR5/nYZtmif4W6QOEnOrbop95R2ZgCp+pkk78d+NRn28ptSyRMqUmrX7+rf5NZBK0Uk+iJ0ZNYHjpUzZFVczikml5JIJgXXcDfuxGyLwY+fHDiii9Y/ZDWEP222advqHafXCmIs60RP5GzOyKugiDF72Da9JOYcjNIW3b+2Typ5AseLi8Tu+fOSlCVo1A+B7wS2w5yJkxVjq5Z1bLpxvirKDIfsdBlycu901Pd0fqWuIKuV3VnD7dzUOMU6IzqPuVlXh9gIi1i4bYP0HgtsxbbH3NeUlHcbL5s2ld3ZM9/Hg5mfSU2bauC7dVcTq1wjQYkfqUOYg0sfpCJDPbV/RcHMRwVgWVzSVOffHWXET9oDrPBSRcz7zn6fEwDEJgY4WXr5ToMdCxypuvr9V3ownZwQez6jyCQzzCmYLUgpGUXRPzwjF/FdlTIy7dFbVic9JJsqqkQ2kbYuemZR/ZzV3rqtuOjsesZdrI7CfsT72A+U6rNs02OR9sJCTkI71gl3O5vbLtETys9l686WuFUGCRN8yMou/na3YTCm54v49XzPBQKBaGaQ7Dnf4x9m6+h0Q5iiMMnuuHLal+f1JtKPdeqT2gMaIJwYxpRL9bnYXp779jLxkeaHbATtamX3vcYiEWB3TrbLINeKTfEOmRcwOSEKFY3dqwVLI91UToqqcRRVwNKoEck1IsdCaU3cCgnCd31Uxqks56iM4JdRcy4RmwFJsB/OziJB3rlh0ZbutqbBjJPTiqlVrvvGQQEZ8sI5XPAm3VjRBfd9Dtl4RtsUEQF4TQMyBsoH2ZmS7aLeCcel0h0o0KViUpJpSiK6N7pRQX9d8xQIEElkm1uWObZVtRRbuptOHBsN1Zx9fEHARG6m72vZ0bopBOwV64kbuKxOfnq9lZj+IHEdj2W05mBP1arecernECLTuVfA5F5Edde1Fp0NMgQitZHcquxFdgFP+2Nj10/BXvJ50qnoZk0IIdSeiHUPw5OJva1aiF5ketdKM2kh1H1SNrwEwNxiFGwXijCrxqYJfSX0Wt0E+OcU/cr39UzXhtvRUjXqr/YahPmh937dK18rM66sWYVjtRR51jkayI1rY82t1sWxlYF8vXCKiwYuOakIlFgjIqLGqXKUSc6SSn1aB0KmVVnHZqoqq4gfuew2c3eczfq59/nhzJmDNaduFlKPoUnS2qQdHWuqluCvNQm+uDuVi7kqPHfoX4BvJI9ntbuwB6kUe/ElYGJw7fF1VGmIS2M9yrYLPWqHXhFAdhJD3Wpb3Llz++FVzdI/rdK03JKn8FznMu8oeFVR67bQ1nxPNI+K1dYejLli8WWunB7wLVR8FBXaEHpGEZ85ryF1z78Z1V2rnOX0J44AsLY9I2MHAXusMerDDYHxGTqvk/70kB8xtqP5M60ipMxe7z9Je1OZ9/8936ZigA3g36hx6YAUPCmeAZBH2rfpLj0SgzvpJo7g3FK9+CUK67DOYp/tnCI4gWolNfK83yUgOGcvt5P4HsJWEdSdqPosWakql//ULa3ZzD4MlA2FT9obX8bHtuq8afzBuCxgWM5bSVhn8VjallCWEuguu2hDTq9hnJgmB/jfKW3i7H5n1bkJpktuPZOZgHT7STnmiHXfqL9p42WkhxDCzUfJfCLSdXmaj1iQnd0wjEWclPzAsQlqzBIwMdl3DddiIHfL5qPEDa6oUajCEYhfBaNaO/alvNKFMkZAXowEMuk23+EJNzLDYMOdx+UO8VigdNYRrhYojKrG3niCtaeKLH9NNV7u+EJgmJeVpyiU7zhAlCadSMATa1xmY0ziP5YIFG3BKwh0LJHst4xhPf6Plb1CKmsvXpxizMVno+CmJi9oglWUFupfQ6MJ9KpIL2gsPMdL0GtLu2jTZdtEJ5Gvf5vhrwPY2XyEoewnS4KVRXR1MGfrL1g4iwHhiDj5UnypnJvk6ohoTUyXTQj/SJvLnzIZaR+AzSmUvzFGqCnD5rHSB0nciERKUS6TFk2WRBGbHzUgpNYXbq2bsVN8RZBNcrL40IjR5qgYeSbi3mbo4IVeqRj85bBRJM/cju4+yUlMzOtE6X+qc+aqGJnLqimBJeLw8JXrJYhXkMWa28j2EPzDoKFlQB1hBgdF+i1+T7SlyDtJOCDbBLcM5vkzjJS1kOJQbIThsjDzAU9vqI16T2dNQrl8hr4koHLcnV4hoVC3WMcJIo1Ue2vPg8PX65+VIj66DI3y+zYCZtj1wQSItbVYVF2Ca/9Zdvfnjwi3rMjBw5/UY3D+61YN2PdaI3VziNctaFyOM4aJLHnpb0tWemMz826mVK7sHah1yV+E/+A2nwcEu6PEjmRg1WBsZ6u+9UpE4VRn70ZNUtpmnsihtViXLWVnt9hHAjN2JkxEHzpMRhoipV9fHKrVV2c6T3a48GTGVHh0FBOMoc7ksYtufleRqjVr166tgVxstpfoNV1DfC+iOKE5vffVHouiY6YeX3VFSimhzPoyJ5lJysaxJVXvxYsbGejSIiuqcYv6fe/BrvKcWHqK2ocfDCIJMzk/d35GkXV1nTWIh18Il8Wqhc6hlX6rzBzHmwoxmNGLs6puh7dJPrZaATuvdhWEGdFzhc0qB2q0WOuCDBKaC4WD2zJcQwAQWWYj++oJnIcWeUNA0yFXTIGB8dUg5SegsaLAVpoH9292JwJjlnkX+Vx3pz2Yb/OP3yQ3YhEdodghlJ69dwNWflhtEurpSMz5MGv65DnRigIk1iKOfq5TYyhk9VIvMyChnBmcNvkbYE10qxpQBc//Ux4TVaeka22bXjaxrIOb2/jjQSfDqdKP7Bj+So+dtze5jvtkuX3mC2t/oGvyJ3OB6mGEMBWmMZGpIwYsUDnlTYB7vlmjBIeZbzYpFwzay2eOscvM264Fkb1/HaZs4G0ndzDtGukDqju5KtpBXyqydHCdSMOnLtp0SPRe+HriqzYsJRqjJVCon8yuBlUNA7zOn8+ysQ/Bdf28UUizVI2rGdyJdDJlqfOljq+PNpW9QSMuJqB84/a+gsBpqftbjvN+I8ieqLOkBiEiUjuscExiYsg57c5aXJ1NIxx33iaqm+uJO+wdcbweRaopvn/sxw5r+7JEJiGvLDzVMpGMA97vov2BeaWCpfYoALPAfOerfpKfnk+f8lSWyhL+tUCf71/8SMfYAIJ6LN/uIjJXp3nZ2+6AHNeJqoEZipkojm7Xv8nYNSsbBjWKKya43Yk78kX5t2DYwMXEBpG7B8NTDc2E4NWVbewju8P6bQ6ynESvQP3xDQs8jMNV5a9u0Q5c+h926HzGD0zZJqAzMw/F5LzjvAvK9NtcyYfmsVKdMVLJ2DFZh0w7qcZRMiW5ZOYb1Ngnq2KWy8rn39buu5F+BEsMqEOJPNzqRNOhjaZ1TuS3IJhyMOWIG1l0X2Lt+y5MNdDiMZG0Ahp07eLoFA3+3kFgwK7ElDjnHBBqQRqbTWl0u76JukNgIBNP2d+xeeWG7aLfvNAUcvwxuVt3tnnnMCxeBtKhj9m34tT/xO7eks1XRuL4SS088zQoNznHYO6+hKLY/NN5CBrdk04iH+iZBmpn3w44/ZTbr8Tm05GgzMft19Y7jI6NHtnwlmI6/8sXKTX9AUhGdA5ZOEn+KN2zGw0Ox8fnlgmfHuuMZWSRFkn8zsZxPMxKKHhBliEqmV6Yptnp9CuqVl767KxUG3aE6VIZ0ZIBOTD1/PgagB1SFtHOhKy9TRJyJHNKAcJ6OuLbeye7I1e/TvwGVIySBZxVYUomOJsOsaN1HN7XkMhuSea+alX5i/iax7H8m+NmzWUryk6vbU5uyH11fy41SPOLTBJra4tLNfyaUaTZ0dysoNhMEk50bCCB8MjXdM5fh9Yr2Ag1oMBPwNU9Ka007vPo1OQfa3nUP//nfDyYfZBRrAZXShDUhKOSBGH1/vbENUidvxmNg1FOLcu0tXxoGbSW9ydVXrBCPcTqM9bxaInxtROP+x16w+naPtufNPt4MVVo9izydQ3twpEDtZWpIpRIGfOQc83l+jrQhHDAnesw6keZ7ql4+Tt3Hygje0LPMkjHNk0Bae07dDx2vdfWGbe5sDU8w3KYYMSESzXqImKlnTpJ3iWIVoa39xU425oj8a5bYgHj/pPwdOQA5V76WAA1xKRKd+u0vfxkvDje+5cuRlRgFWn/MScbVUq3gbLLEzWNuzToxwkv8JxzAo/K30VNOTG+If4U1hwplxEFXnBDcnW5g7o5Ko+OsK5hvKA1HY0E5sWFQ3ePFkbVr17kwBc3PFgjj5eORT4XD/SoPcK+DFIzwcGrq1q2LaxUhXOk4IguMu6fomPFlDPBoMH4EjJYGNiLI11GqWPY/9SsDgJ96dBjz21FdOriB7JqKDb7Cptgi4W8f5WWEr6Zu1TccRKSdwFrYxIQQ0KT0ejbmMb+IQHyTOczc0SM1M5PU520+gSPE4iccL/4UaOjfMyxOWtjXoNnK7G2OMGzwmxcU4odRaIxY2qW58ZN+/DAsaIsN2vP64R8c8nAvugGjoegf4VTJjuHECQZbdh+5kClYdpTEr7SP2pgLGgGe/4Od2MmPJM/pYfAWIBO5cnfsn1xSM3l2Y7q2GoFAUMlAsKNaEnL4woMAJZ2CyZu1gibnPCUF5q0BYqbWHkDb6l2oWE6lUzLjdLWcQCOi0mDrlGfpZqZXW3hIANL5IErLSJo04gjO9QjPy0ksWy2GflN5Z/+5UwfJ3UeOnftCqM3s4+HRcPNihd4rq4rVFZypVRujZAIvFETrBD7ZpOiWWD0+mNC+t6opEYknc9EqcfKxmrelpmLBruQc3HsUnLfOYwAfZKd0LLa4XaZWDa9FounH4uBggfbPfD9uhaE4KDblmpxXCfHW8YT8snanfmr1ype4kIEWhE/LnrE1XNfH2G8I1pp4jlfT4nWHukxqSmeD4p/ru8xNXslGuJLgIl8X6Ajs/rd0HZRP8/Ax8oGzEJD7zR/VoDIzBcKY67OeFGbFpFGTqYbN0ZnWKno0PJEV1+PACIvl3STxm4H+t7MN2tuKv406Uy5WIq/4hPssJkh2cajTYNklsAgTqfnqMfPci8AQSbeyXqq5Bn5GeZt9RXG5XsYgoHq1fUwIDon8PWPhFaSJYYLVI42DlTVbHvDhQ6yMieAxMW8V57qw1y1DdVXxNeaovGFLYRXjy3tmrOux05ElovygctWUKjVIuF7a0aPhZPa10kQTY3HDHVn6VkCVmbkfBxgZ4JEZWtiyUA4ry0GHS145EDE6kMAS1VuJ7NhaFhVXHvYuUjA10tXSKOYo6Z8wS8f+bpszw0VN9vlKBAvhcQnEmHCzEh4bhFOVzUmZeSg6JgGs8phRm+QXJuwDImLU+3+X7sXO9PnNADsFR9w1k7F/Euj0qt8+sTI7m7IAep1cl7QZk7SB+/dlxfrwIdK0jp9P6Fvxi4ueKLeOroSpDANLTlwMuqllIIywelF8rEC26JVXB7CQgILnvAoF3yIRqOqqPg1R3jfapKvWqqUnjuQuTXOYyBwjj76YWIJSkQxffkLKELdPhWsx3qqfCHB4t+ceeyrT9mYUDzKPa+qqXvlBp6AAt2bRd0FG5dZ5H+fI7CJA2uGCE/0OPRRFJw14SwEV4hA50/HL8kRWKPvQNZY/e+7KmxPIjAtfkBk6qOa3PX0cW72Zi5HUUFPmcmIJbdaD6k2pAUnYwIY3btF665opKTtWaTgw6tSZAw0ZfI6H286mb9i7v5DhDIudUV9xybJ0cqXE+5sseZg5XfP6p+Pr49F5t7OVDx2pFUaa9eFUnb1cOFIzaOEv/suk5fiXUcPVW8iWiEa+ANW/V/UZjFpSCCfqcskSnYzjEMCkLeRuOEhqBKR7oeqsifruu7jBdn9buMnNjN8a/Bmn2E49br7w4bbFV/kebLxgV1cuvtdMyiMWX2QDPfU/AaKLieuVG89/qNoquDJGn02A13Ur4iZng+XzXtWKdbF53GgFN2G3XBHNf0dTkix1Ay7SkyJwWgkFmazYZg3bz8kG75DAiRsQw0uu0p8uWlUtsIvaA8gQ16WbzpWTTM6liCKOtup6egkKTLibNCMxDq0pg4fvF5gF+oUVDZQMyuquljb6N0WJISXYTEO4JbOKPk+qd2H5HRx04cKWW5EQL5fAJJn72lHoQyhTfxc55K+qCY4mLYYiTmX+59Px7aQKPCklE9BefVhBtMSfUw93/yyoiYq6fTo+f2rgq+vigzPyEk9FP8zqRJIgHzlzJegDb7282fzFgUd2F7oJuFwc1LXBNj+ybpUNqO2me7eN7DNMBBphmWeJswVaSPML9SAC6wnaG25mG629a4IJ5OwpI5naljkvMcboE7OWLJmzP7eViMIaoT0ome8gi+DzxX/nIOijSFU9Mjvb08+dc+KLPtv3F75htto9q/cFWHJOduj3Oib2OMo6gMtnkfDfwS7ow3AvGizHce52bL6t7trN6+3962QAdBnZa33py1laeTHv/dWfrFzdB8tRAJAWFQ4kB2N3YdQp9hC2GTnMelY8J0gs+LFRE+iBL0ySjoPGCpObWyY7rhdgFMmHVa05B6OpQIRQBT4CNi9GAbRghlvTKYNpFBgbIt5eshC+SgDrkUs6Dsb0A9IT4B29o2t1Hamf807uJvSe70nS1mAAXgXXTz88kkqML4wwb1fmnKSIv0J6Z9z9PyQ70Cqtw5RNPZE9PnyVYHfcZv4lt90Tsw+TaVVWVy6xvm27ZaGv7O88XTUu8cv/vPMpD4/yL09KahZS3FBuPMNmypnm76K4d6OcZx9JxGBJJU3xM3tUhCPPr5niPh+qdBt9igpLO0zVq1vVHqfj1rapXLx6PggOXZPBv8udjhOQUrUDElIAOXQPYL103j47g1B+SefyFF/VTam0gA79HoHGkNUdhBjOKWEmsaPCoiogteYaE6gnzszYwQsLPxSpfWinYxb5cdDWW1HsopWjQh4oentJ3/hnPz3wkUyiwY31gu2rd7oWZa3HuqSd1KwI6ZyT0ByenJavYL101oozCeH7KzcY1prwoANBgJbuETynyVpgxJlQ3T3Spba0N57kWnlK84fmXwOCnv7/DSIVLVzD95Q3xUhLdnenlhRPMXel1tSTchZWkj49QhaipxBxF2gqTp3EXJhTguypPjWkBpIvVA9GUiw0rEs1KZxiRbVQLrQplDpIR7KFhpypnYwplmpB9OBIEaemMU9CTy+1EDARnAT5mUchO2YEDilvlVCTXs3XmIoQ5nGtzjFmW5vnWFO9Y/y6vTsYgOfv2RCzCE/43FmUqmebVFFE1/jdOoWgiakeUmBurcbyi0cWDDKclOjAv9oLlPJs2Cp/glC1S1gP3BiYCPTZedot4fMPWRocfziRaoyRKvorZiIXjGuiPBkpDRR37VBmwVs5XpdZoWrhjbUMdNHmQBFfo8pTLGOcVqUTcopgMk8ETRc+nreB3HBUOGC+7qxsQe6PVKcK7pGgIewB6A4OSlyXO/25Em10j2uylBIT2Yeu1wmEOnCP5/sA7OoGUVjezWWZ9J/6XB2bbRBMLsBYoXVD2zFguVxoldWKCeGuq3CuEhytGRdZyWA47FrImI3ydGqQDuoUtuheZEunSrQXk2W4hGrZ/CWjr8b8E7ihJVK/958pIdPBr7rICu9GkbwSqZuAogT2s7mbXl4Hl+uOPQjSYIBbtO5huiln9pqx3xCJDWubN4UGhvnu9NRPjash7eUDEK3MTCaj/YTiAgR2GL57UCek1AJLIC7CdmbJq1q5HOESCj726BixM2RQ5iCdo8IJSG0Yd7ll391yOULLble0PK6iQnSdv8d5KiVRxv6Z/9fSI3fcK2Xjq6MW+Dkm6HgvKfASFgZ3xUlMVzhLN39lZ+Uz3Hy2newm9o3pFH3zpn4Kv+eGSkOxFyeUWbXHNHEuoKwgwkpHmYVsxMPpubn50hq1ZxhrrLsKa+PDRqvWi2zQ9hZreGrNNHyA9zrmMr7EWblAs8OROCt7iXnidkqYWCNjv7sIGnuwD60Y4ykSYZTtMn5MuDAHNhA5gUfW1uRyqw1JZOY2flezIm/s8bRWfeVrMK/fQoUMevmPey132xxJhiVD3KvHOjmXfyz2MlNAXm39GgyxJ9Exwk0FP6UbbuaC+u8EARWHZrGHANo0O9du9MT7aiSGdGaFsHcLpG6D395ASuSJGPfKJETmvXodUAe9uzSc2uBfShkmrNmChTK84GT6522mb9voKICUM0pp+AqwZKv7p3VquvG6MJExJhP/Fd8Y/akdksZ7126JWZvd6k+iFXho/DcOZ4JO2VtP2VubUPEMc6v3gvZ/PtaDTTtv6flcUtga4A35LDlCZ055jxawcnPWfOxwuisfFXDRYW2OM1Stb8B+I4SHC97bpR4TPunSyrkVAQyXU2ox9Z2G751edceLDC1aVTW5h9qhNAgOIdmM8FlvkBy99JVIKvid0CTt3UDYSuy0im03YghrBTXiwyYIxRN56EgV32xYF7cXtGmYHQtlaj/iQB0HPhBtWXlLqyeCWKilQIS4dxhqgZ/p1bURzzqWBXRBi6rx/awriUSjmEWXAWoPH1PicR+dIU4RkeNAPEsgqJyN5Jn/Pw5YXr6/10HM0Wx+LIkDeJiFdz9llnhhnU3zBxeQShZ2Ii74aTv20QPL1hnueb6wwhjLdo+inQilx5OfiTH1AsVkGgBT1ITicTHSQRrHskxP4oIuhiwmHs2OLNyNO1Edy9uX1qmv2UkjRtXbNVZj57d/9pKrYTYq7ct+Tw+spQrV787cEuzzQqlhF5AlyuTMoNRABhmVnm1I6EGHNd/W09KNgnCxRP+jT5PA6k1IF3/sJmeBBfHJG1l1pr2HxjyvTco+rJeN3LW261YGmR59GlQb/oxc4byji+or8GQnbsELz5eRFAcjpWh1eGjr+EPoQPP106c4NuZ3byz4MNFqW+6Y89ZZpw01k9qAquwGUJNY6b7p2zujsnpsnURasNbY63GJblRIFJqDqbM38ZmmudL/86KOfiHtrH8E2K96P8K1U76K2mz01ddF7cdzDnbAPZO4Y+WB7TTsfGA3vD2XGPZSPoyOiIxb/ZcLUR2ZRhqZLx0MIvXI0qcVlWr2TMyXgUSxLb96lBjvFRDWeLFV6YIRfHwFzyZFuDp8CKo9sNPO+06TIyyi8rHqiDXSwHRSvacA2zpFy9xEbkQ/m0aDCxzRI7KpWPYlcp0seUPg3b6bRgKTrpdU1wq8qBMTiyJ/m9vXVFXl9eYMqcXjAq5u5qrUjZNNgqtKSok14BuSQV+LHKZad4TOG626GWSCaV7etHiWKXxapmaJNmxhMt7rbmtQZsHhqglLKMrKe9qCWlCVM9cV11bQtcA0Fi25ZVdDUJ07zx2l/uID0CP3TejFBTBMv+5uqNWfNy/7T6gr7v2pQ5LVUYgvELQUAIt4x7m9FwbLS0ETr4ad7iQCNcUmbQkv+FnigNl/Jc7+6MMO7Wu99LYi8NSfslg036Y1c0+FOGe0ok+hjyw3O6sTgWUbDad4CkcZRdFgJk0ucSFYM4+nS7uln5ukx/r+QXV5miufWycpqJfY1hIn4szHEMWx1V++y5aRxv3Na2CoblGeBXBq0F9PNm+T3FtWh8dL6ddu+JNqti3cUsajtAGuz1MubeVRICkCwTfcaVG3SBKdW5VpIrxlpqJleyhSK/RwRVC5uxDOB2CgceRzFmfNEacBfkC0U4ln0ZQJIO1np3/MIM23tM1T++aUMLtEAtSd9tQEYCoRXgzHsms4hv/CQvulHV4KXP13Uy58GqEqEfQIHQcgzEqrVXfAhRUNOiR3RpyJVI77Fyr4WNBU4k5FZBCXe561wlB3W2loe0T029YIYm/lc4mlpLSAkPKaOHswQbE0kKKegq/SYVkAX52f3GNfzKgrGtVhyIolBV0TlZ8UuinDH+N2gu4Gl+rHJnQVWg4zl8T+wOa/x6+lB76ZBJrrwq+du+M5r1cQhh8pKmyuQwm4FnQfQCwzLn/0qio697PMCCgkxBEc5wquAFK8wkYahAqOvD9t9f7FF/DSsQx+Q1dbqUMLkSkjrc6//OeYvHHyvDWyGTdfVIUQH0+ftOOTleIAvouWjZIt6+8VPFfIP10Brql/WBxpn0BAzk4r5j+LM1IqHv7QKGz/8f9S1jUCdkRYxYb59MLjND2yTDJbyszK9YPNv9eihDAxBbpWoi5r+y4rD0EblVsFyRL8KQ5gy/ACBEmPaxeVE8XqywR3TCIfI2/XysjeZn/J6VTtL6JVquqdhmrXA7Jkg9ILFZhVrVEamf4lC1yXpzGggGVLPk3Uh3xkCdqPS8dMyri9VXMYzhx0fwOG6M0G6gBB22fKsWGgiAzuI4NVKnYSzFQXudGcFyBVh5e1Dr17qvXLyzr3X2TmHAelt6tzXLdR6yWvVHUDf5le6KS2VgKGv3FIobgSPuspdraY0VVoJ9Np6GxJIFaWvNQRD6YlGnZ70jbSMwFVKMkHaYS9yfdxYRM9gSwKmcRBF553SYqYkRhPuDDD+fHLubWyDoGe4mmmUB/GHTs5F/8feqv4X8Kpb417GLS1UQrPfCjLdtvvmfndk/Yw94Yx96hh/8jXqI0+PTfrF5/+/PPHg28MpcTZ2jHI0GHjZND2kqDRuosmXiEU74L7LnDujGdfDog5y0TA9iVN6PDRNnFgLTxb6q8wal+qT2605UfGkl23txTtCz3cXSwyU95XByP2b7qXNx6IySDgXJmdWhvy2OMqK4SxamyTPX8u+0cOvIxfeJS3E8YkwGV32ikf6tVuJPWunCBHCeDHnaIbjq5FpEDE7o6Wwu0fmCHzPwitGRpsLYQggViqbUXkeO2bwMn9LZvUKq8btsLsHJCLYIbpdiIz5i7n59IAAb9Xv7raK+hlJcvsox2K8CNDTTdePHlZHAAgkEA5V1IsVv7knQhLH3+4M8mue3hGB3uxUjybVMsTGvDCZWjjNznavh48VVw4NXYN9rJjyxUSnsDYV/N0MVwqjcRlt+5XT3RlesL8rr+koI8Apvg3fmClEJxXRy0HXFW3/d4kpxG8Jhj44gQq2GcXrwnybbVQfcuDkYlytR+e8+riO0Y3+vFFROIpoZISXFBo4Ec0LvSauruHjBJ6KpWtRBKE6fksXTJnEgXl3vw8fCroBqjJ9inwmGNqUr1Nmeq+mkYNqmnGvBq7EbrNSyShlgwHHeIudiaN32k3W8mxz1erb+9wzWVp4SCTrOe2K6mriC8G6LtOjr3RrlqWuXjXnWaER7qgL1dHShmfiySZx0VnVjj0fLzpcJLg3bl2TWuufvpt77KmEYCnrcwBl4gs2PIC9GNnTu7GXsYrk0+9JXIuGO13LPvqxb8dhwoRCAu6Jr1O7HIO0QJI2HKzsrI674eeYEN7zrjMoc9BD5eiPbEPcsJWRNQuZYHCMemMxXVYja0S7DieOHuPTNVvPGPnDQxuxAtLfPvV4QZsVrj1FVTBmxp5tUb9D2ltILK/OUKxoGmpjYVkOFW6IxHDXCXwEloUu1LarBZrgV8SSQD1NfyUJF1Lf9UboUZ2Kzn/gMggCrkWNYkCuoCriZ2BAD6KmRx71TUMkkIf5OU5SblMUycHPNJkDlsbs0hvKC+nBIu81/fY80q4PhH7TtGUQgzWdO/kO/x/kWi1iS/PiNYChMlA5z4xtYNBvdvYOuOUhxHnp9ogzB1iD8kxxMA0cDFQzqY8+heIIigiMunV0952bDizZ6FzbeE4yLYsyDZpC8Q8KUuFbHyBt/gntx9WDjarbz9eqcY2y9eb+ANMci/XZT0+ownu0ukryv09Rr+vsXkqrGttz4c3HR4q5A1TyL0b7vlL9jPOe33+wvkZP4ReOmn7SHj7yw/hBSUpZFSH+jGk7Nnbu7TxhUUBu8zXEwTo0WYJJ+XobbUbLPA5Y+TPLxaagr87f82nJbIdKb7vwxtxcfU0xRiLdMdjQiAQDeXR8p/jUuxnXpt0TyicCQcDRVJcbl43tuJ6o/Ja30sfHWP04DZeW/VnPTfFtn4T4eKQM0M4GGIUL7pL8vIORKwCZ8NbDxgwQ79PMpKs0YTRYrCWs2EqCVkc8iRVZbuMeOimjGo9p11YykT+cTh/lgrqqDcoNlHJh6DHPQMwTj6H9aK6Vm7XYMGCllxvqAePKYlwFd+U8RJ46S0ugFqWrIARU3KoUXSf/W8KIKPr4NOR3CkqZCOO7DiFWUZYC2/SjlC1dkRbgj+KgVoHIBGOqugTh16UmiuRBTsobttmY67mp6tj5Q8vPl1cFh4tGVOBqyjCbGoJGTXEUyzNr4/OjzTxfaaL7/5ZZAO1z3Wi05fcP3CQV4+KQ7B9re2wpZZmvr60cjbo/TDwK/DGR29L3a8+UEWtTcn3jsHvKfL/rZ5n/2pT1F0ie2tlGs8qU8u3gGfPqpR28ksT1ER+WTs6gict/AxJuqJyIbQWkQHYQjN8agfrjLFXNeZI3aY+UygUSTgZstVbfhfOwmJtrZOYrnCebKAgJb0rQYN1nYSkRDfyrSdsjCzaIqCilDtNbCWSpb9ZzcpH+OxosIh8FVu1q/n82sokwNXYsgA0C67++h39jFEWIsh2dxPqWor0rXbvRlTJ3x0lZ3m+nZssM0dRTgMx1a4X2xqQYHM6ehfScWuxhE2Ve6dSRV4oZd2LrKLKVFkIkFn+7JKBJDLd6VZgrohqtQqk/KTrQ20LrL8am/MXziUqbEPElV560jtOvJ94WJ6E+STBnd1XjkxUlG3pgygQ+ljn53EgWaDj4xYQRVBegIGEjSZxVuq7CpLh+313YohBIJr5wm3At5DWilUALQC/VgRk7NZ2/8YQwBnedQooksXKpgvXq/d2PHz/9xmu/EodbtLk7qlPWiYDfmFSGWay6AFipn+dxjUvb3Jknd/DCznivvK65ugjun7hwj73f6VaFvLX0Ee0WfHcP9Mfwyn4CafgfM/To52C13AKJuEUnISTvALTGJedadBTvdgMeG7SBLqbcWKpNPuRG9LRTpEb7awcmkhLzEGWqp65IzDWtv9erjt8YTBu1EP0uCtEbo5UchX0qfckqkViisPpimtSmfw1iSSsRjnWoDqd66Y7FrnoLOHZf2Ziv6dB4aHXb4WGE99PAWoTP9UWoSapYeFxdLVIIWzcXLQ5Gn71qv7qud5fjlKUYy5iWCznBWJAmmGULxDiwLx6FZ88Eiegg8OooICWKBNVt5/yj2J/0VmNZdO08WW03x0ZBZ/d4iechlA430rRNwzD6Fx0H4a6x/IJ6CwbuSTMWyIVvil3ZJpP8jCt2oihMRMWRjRRVmyrQeV3A1l/rAg8F72Om5cywLEfLkTgLbDOQxmwAL6gPBvtrqp29ovKxo0tsJbwmwgcfplkIQF30wtor2n7d1H7I1gBqvxZ0KmEF2OPn5NdLQDZD+vMS/mixe7DvMLoGEmrFhHzhwbuH/4eD3tXLaS564c3R3P/5mrrqv/co7GfSxdRMhASUjwM9Vf6t813slBWJ0WDrDSg19DaSA4W5rQA0sks2C0g+qyKbdfQnQWYmAaItahMEG0A5FTlNs5bj1Ldytvp7dcJ6ohpAMJLnKQvNfDsMN99EBewAbWcfM/oM+2ky3fukzzmLaLqbapsp2nmKNj7Mry1v3GjeOoQ/vB0J5fZOlbdlEYQjAh68LFts3fjnd1Z8Ndycx39ApkUXJeMbaLVrMDRIY2PFffl2KQpwyFJaKZ5bX1poCIhQhFXwnd4upYBvcxpM7z7TD5P1CHNRYGgNRKDgwOrP2HmmUgmYi459Bzoy4dwajA57nKMIdvvu1VPBGgqXx7WDOlQx3o7x0UUNYq+SRrfM3RijxBzQgHZBSEdq1bIl4I0HRDWCm7SSnpXjhSAAke/Z+giNJVPaOLCjdV0eiW51AnF7T6OWHkd+SDl8e9pr39a8nlFoTqKkz0Z3hPtVenWpkvvFfmMfIe3UypdH1sfxvxWLVugjsZW/HOxBucpgJHijbJsBabDNU9twzV0XEenNKlvakE2NMPGNlEHFo2dIq6fUTI++r+QxV+pFPXQ81J3lCBPxO4z1NUtiqVttUX3bMlnSEM1pycrk7KBVj1DBDRAJLLYwe7Vzdrl7yPqRhzdD+jRFwZ0pvjHikuSnT4zJFE4pkvM3XpEfSzFfTZTuls9tTepIrvwH48o/MCCDu1+LOUv6lTtudNhM2T/OlvBgrdTLVkTcNNjUX4VR4EMibeRwY5khAXWR6R1/UpAc9+M0QkuABR0i3OgRc2VyjglqFozn6LClcPy6WQMXsRAFWl+daGiouDFpHLnglM0n3xABRaBYhn4g8m6dYkv1Ny+ggY5nPo3cYBUqQSCmKTYzWEyuEzed84wT8XKxVgy11J/j3QznfaqtKhSGHwL+n0TNTdLsP+chjVa0W1r1jWaVBbdl2iRr7i7e5tA76bUssQausk22YzU3fxAYT/MvyEhOv5HLGwHAxCNF17ZgVeM3MqE8Xa5/SMw3QXSKY1l338AZwQ35bsXOrqbl9HGS9X3MUWlAtFKpTvbGI64vpfQl1PFWF1tcv4ly+IvC+MpLTSpHjRajhvuXYYkhD8Rd8WpQPmAYQhloiSE6FJVbczXRlv9hY4rmfyQs27362ZCsbj9M1wBSbuWJ/VgPJ69QCgMtedIu5CSVslFiqfqBgABELUiJLvsogvGgH4AUmALYTzI1kIJeirovNoSCKq5CGLU9hdKlltaMA4hhjxITc/gq4lhvBOaZPzT6Gj0kgISY25bQb22Jwgd7k0G5zrSVSEhwZ21AuFXfJzc08OqI7qkv5rQslYO2XF5hEhfyj9sgUEuWQTrfrfqlnorgRlPTGiMhFxLy4NNcDMisb819Y4U26OVZ52HxF1IfEvvo7wm5UTlpqj+A9OWX05FsBsYakqdD05X6blwReX8PuEKPumHf+h3GVewIaQNt8GvUw9fF+XaEupIing2SU9HYhrsYeJF62fU90Afj5HK+oEDG3MrobRmrEsLrgvpTo82pLfyq3ZzMKwpGAyqOgREeciZ/HGUnMZkBrPQ1vPLsiqnCM+YgcO/g5FWmYqjavJW0jPF8/NzzPzyaCNI1eyU+KYXMuFHAg4x64RO0kZjede0os2Bv+oob1f4j4QPQ5PRV/9eL9JN3Fr1WabXpzTcn1ItY7ZnK3I9+frLWdBuOZ3aNNrcM/LcDpeqYhypbxgXeR9Ixj/Wexewl866b8qr0aHAgS6to3IszLiyHfQ0GffzAnVwmX2R8YFaYkLhfR4YdcXEB/OO4ggdmLWhgl4eAP9BIzCz08VJKWP81E0KhqltybGnoIuALHKMoEe16X6e3qC7nq9MgZazCSXZOTddMuJQRy4vz9s3SxJ97kUYXPhXMDOEBvm6WvRLVzbPOHyq0rgr7RrHoXd1EoxzwHaaMCHyHqqFyuDGBkj6W+HKg0vV+BepJk6LwaJw+jUtGT2FdonXa8pDSaAkXtPi2Gi+P5kjUFBzqeVua1eO3QcH8ZSQ1UgYW0yXI64WPdFIZvsNF4XJEYUYsjAGM/rlRa10iMFIGv+OPRKVLIM6QD48mBO0yG2nqt5DAH2Cem6Z3n6FzHPLBRAaDV40TPCoYggUV9rvolxfKjT5O0a4hWdDWxDSChMEndmIcJJYhuabIPUrWNe757I4rYqryWlbaFQNt6m97ocWABbtyTxNNUwG7p6Oh9l47RLzLXo6DfHkKLmpPxM2R0PFrko2mfc6RE83YEdzMal64w9fVBaqvBzIW03a0SKHMLy1Qk2TKNwUPl9464XHAKuSDgfvz4cvPfhkbxhxIPCbBZ7+Z0UXa7PpbUOIkuRcOL6fbwb25e7F8eLWwTbaR06cO7CTleZUPiX5wISnUrr4nBBSEF3Jz6cWW00wRnm/4QlZMPvOL7wmcrGuwDBag4sR0SRGeQKznxcREw40QX5zxqHO7O/UI1B3HQR40JkVYXZXelKhuc5dMzeZS4D4/YknyeZM8BudmMIFi69TqOoR+Z/QOdtfwMPbPaF7sKoAZ/JSZd6qjaFD62kXe/fznhCFV305Bmic+7xRaVv+sTTE0ievRcj16rtN0+ELXbFDBi1Kf2DiDSS16+XgIvm55REvAs8fEG95GuFcC38SHmxWUoNbO+AjGHCaVRnzH3/b7+1H3HEuYouLAHomEBkOE0RAjwyHCS4Cvww0l7ED99S45X52hjoeid6iz/xFyskNM557J3HWVRJrPnpouKn/e8IwCFaCBQJmuGAqzZxs6OYua/xs9wIsfXFKDYHjc7vZo6X6f2Dg6OrwmpPlP+OrEsUuO32tDXTbwSv+ny/3RDv5M4YVZEB0u/KQ75+V/ohitqfy/YtidhTDnwEP+mznMuL+GYGeFvsg1fV0ohq0d9fG/zmB69wTr5aK1Du3a8x4qNr5F/xtmPuu4f/xoUkHr82gNfaQZeG9JxiUpX7xnxu5rtd+bcCETGKG/3w+JLdt1Jb9YJ9IFNHXkaovSQs692dx1r240bH7aBZW/R0Gi+W4cZ8zphwOO3njQS4L0PVQjZaVoE/AVEHBQnFzRmY4B5mYrbxEO2kAQOfWzQ9Ot39yMn5XXODGryk032rrwkQX4zLjoqDbcU5JGXbmjBcvufrDjZ6UQQ5zJJSiIdJKp+oMvHCBuF5BWbsbWOTKtA0yzZaLGIAYr/wQcZTjKU7p1w48kg4LPBkEkcR3S6/mhx3RXYeTRaa3ijyRI0dsM6zNhCMrghnLxJvt8PJjDlqqdSUdMBtr5cf+WE3wi6ocCW03nA98TWaMG9s23y9A2VaVxWlOWDWHCbszCUiRkLsOOJl4zIxctLajKmFcK+qU6GTbRqfza5E7M7yULtRbEUmHNU7n/sHmovwJcoI4ff/tLFnIBWRhKDI4C2MRmykXEJqFWGDPVliQ1ZwrDgcA7/5WLJWa5eBg7j7kxFnLtGk5M4EtJr7ofuIamKUr2azRny0WVIzzeRSDJBLCFEBR6q0ViCebq5dDVkDo4CuBmiMp50wsRmWSxm9EXmrOK0nzuZARGOTyL0nIK3uYLZePlF9RdWXBBnJfbgp+FiRV3SjmyamaApABu1drDDByPpyhreRKRbmnJicZlHzBsJL9nKxRrikAsTWhgPkQjPe5o0ujsJiekJIZP0f9qzOEurfayH5+pMn4SXVp2MFpXOTo0bam7psCX4Elzlubsel5/ALpkIRNS0/7CV+5XLouc2Md5mjlEsm9O5EEjdb4LN6pwEDEIYdII1Cm2IF2CmX7v6XxZKgUvF9hyOh2FTE2FpZBt/mkdZI8zDlV7S7XCmWl4lvdz8JcA932Ymb3a2tVajp8V9cPmunF96/ClKq3or8D5XH+gI2Zy/7RnY7f3u1FRlsyw0noCj/D1GkHf1SrNQ+f9N3zIwOz9zQcbVl9Ne4ii8UXdehF7he/r8Mu8lx+FjVr8xIIY8/3/2HYCcR4edNoFt9+Ji2puWtcwl6IQlgUXRtsQBWfAaSKHy6NUFVpPrTVkRfmbQfZJvyvhsymGa14PfitlG69pZvM1dL192TlD6vMVysykghr0XhfZR2svAwzbaVV700ZJ+gLmqsC18YMGcmC3wtF1qXHDkCQcYq4WXvNlIxamwF9DIrTUGBR0MPfwFWSi6Y7XcWIH/ZvmVkEvq/lRmOGsxQ6ekqWvogEl0L7sRR0uc24hd+vttNNdqJfw5aJpjgemdoUvaGygs84yh6G7ZEkgihYc+PhiaLPkZ8UIKyKC7EzURakt4KNzeR6t/ZHRhPRUbBNHy9PT+YjDCZnF4vMClWBi7N0zL+x2sx14OVRX91/1G9dEuQiFTV3UtXOy8tE3CDMlRKDAuNMcYP7BjxM5zbiO7YYmkaSSWLpu0aiSYE3MTxCR3vksNtKmQa+1oVJU6SBeeogCkG1OpQyUIZSSNGiM4E7EZDhrLp0fps/s97nvBDet/1Ko6I0OnMvJi0Qlj7F0A9KV0YJtUlJXdfiDxsoFiMlNQXFYhx5nigXYHw6/9xB6bj+NFqhFVa/9uGXN0g2e08vObwH8rN6Oy+7s/dC3OeU5/B69p3QpuiHayQpwtnu5R+iR5IR/VsUhyUotw0O9l9WZ2MtC0bvJd6uRWM+T8q2+5MO1UgiVNaNQbEdTZEil9+3VksMn5VGY4IVAm8kNj9rOTWKxj2XMaSb8BhKCgqAY8nA0cf85VOlExG1u8LO0DokTPkafgV6OkXJ9HFAN2fWPkBn3Cqxj4NcbTEcDX3ShT5+H2rHd04FgeEaTg7zTm1Rf88neojwr8K8YZMW0E7s/AwSoFSGMnGozGdOXvWxL8UZ05BW6S6qs7s9LvwRjJntjf6N9Y3BDTzOLTJPjwU1IPScei6UCPPOlfinI27bCTL9AyoHPe/e3kL8+b9i9cTmLf08z35z/vbD7c0hcGJUyN5t96/6H4RQ6Vn4YP2kPiw+b/7s/d48PK9iy5MDtJu33b8DyvuX41ASXYB4euy1xd777ucNas537eF6waD+rNjbh9NiOCPNjHpJrF2Cdvy0T/fiZuR+HMcn4VWPu1CHaZ+L7833+zafwq/kdiU5kgwtzgf8HqAqkoXYb8D8XdTPMvWvq/pUTyPVr3T782a2E5287+60J795/M+W05uk5XptJ83SBZ9C3Nxabk/NLkWQdXL6dioazie9e3St6s+UeKOvwdaeoSWbimIE9m/K2g/n4+1qmSpAuGCAVQKvf2bH43QjsoC/JU9KSuOc9qs68rJ+XOjZ5W+WmceKdXIOBfT53Vr+Wf1UqOvX6OPT2+usQmrmdJFTKOdQBaETgzDu/3VtKzMuwlNCbjddr4adMhmo50FfiEg9UJBeSzs6oLmd3P2dOAH5u7+PSHkfF2eOj7nimc+Gl4MU2KY3nHbpRldVFxpTiHe5X5tVlsH7Mgbx0WGnCRiYMz2BnolnEzLm7bbJINaztr/w3/8GD/AzL0cVcJ9GxbOVCmd0TAR/789jSfYjkoA5goRzab8jQ/DqgMZT0Gnl3k48gWfn6RB6Xv3pZ/VDaUvEGFmcsbJj7CyWZ4ifEwKKv7jzNzuel1R38u6JkCkitxjXXHQNW2+r/goXb4Fz4k2LIdBWDiYuavFmNlv/XfCLM97X7sEo6qEiXvIG+hOQ7JTEFMEsmff5dUUZJ8QOtV9Jr00vd/h7xvJXt3kNksF2Ojc+Xt5ORlAedWlHLm5KkfibuYS1CdjtP3/ysVN/AKa6w9NUPaW2qvkntFyu/Gen3Gzkz1VQjnX7xj1Mk8qMEIzvEA6JsUeKeQfvKdGdfKxM3Dlu7OvkaUXWr6pe4iYt/ZOuLRJteK5JDONAtlw8R+yaW2DsA5g6o1UgofTsT+235Cn0wKgQkKJYLLUGccEUrAbBtof9KfoS5ICojXBYvTVjnhFcqzxXap4PcZyTHcVHr17lxLI9FlS7Rztw5mCRAjUWpXCOyfHibvWiW/uQ0zo0tQZvluqTe3WqfhNXKw+igQzmXq3aE76nhAH5bk2yYEB4IHXrCRLttgeDNyHMJHBp+zgHrwthssRqRnr86l7Nmm72+Luq9zC1XOjbRNyTc5F5czM2p2/l5HuCo25u77UzO9WcLhxVw/1OxQ4ZU5ZZcX1lKUys1VCJdTI/nOdiStSoWVNNDcEXycQQIEVHqywwuwCotJHSaFbtr2Cuwo0ltr+hmDFFMb62SoDMo/jU0/UIV05uLzUQzttKBdIV0K4NAT+rwxGdLoG0tbLff4R/VoSXPgXSk6GEusrkSX3biKqmYMHmQ8mCq49S2Ajh8b5kwtkpoXFVOMXHEnAawD+bMj86oRDCf+szCNz9aEsQTpCQOruJByccLd2apPrJgLhjNJcUhm/MloHXY3YUu77bvvlAzxMVOImstJOmCD+GIFSLx8NbVqseHQ+KMLb0Ce681KDR2NGF6tuojyuH6/0jf2RD1YBUFVaRikjRc0pHJ0pp6Axx/IgyjbpC+qWAcEpSpySKCNX0gzfS6Bc/ZtQxFd+KizvtRAawc1bhLz1fy3fX6XJeIYTG6yYA7zCRtwlwAHNc1epc7DxocLx2xyRxW3PZq1GNQA4uSN2dQy18WKNQjVoUy58qsPRLzOfede9+ZTW8xkNr0Gwm/H/2Lhg6j4dew2NFkx/ncLh0jdlwbchq+TiZxeCF786pEVvaFt6M2CGSUK4zZ4xLVf/2iX3n1CpFa8F9LrVpOms6pm3x2S/1xV2HGhGdfFq8wdVPL5nEeXd5+iFeHtXeIgZtK97ogpARJa/P8YVPP0KC+l1IISt3F/GCBM8/B48CHYjg0qr7evkyD5irVYa+BSYCgyp2R99wWTKEkp7ow7u61qtc6jO2sSAYZyGlsUlnvQWWiudQ8Fz7+B06gdMlllRyqUpdmtaqdo6y8I0PJwO/SieEiurjrcyWksJlbuqnn/N/3pwubemsN1ZISl3IFz8dNf4evWVtJir/DKpVDfc41drhnernNXe1ZXeWJIrvmPmnYpZA7c3Uob9PV3ZbipV7UKNKO2t0W49n5ClSPk/OEj/nmL0e4pzZfXtW8HDdTHbaqNqK7NLATxXWduBMC8nrcP8Y7TymgeHxna90AGEW8rOl7trqws6xnGAsdvp7pbbT93Sm5DkDapgDnzaLosJV7Wq4ziIFr7kc+MzIv7ek/DUP1qHm9mU3xY5wS7wSgj97/QnMBsuQZirStPcarThzZCSyDlhV4U1zkeu8w5Gi6MensllAjpzsQLRXg5a03vfw/1plC8KQzHFVUaDK6c6+vqLrBv58iwO9cRVDym9tR251ZMvOKAmFoRetgmZbyTm8x/r/VCZYPdNxgqGaxOsFjXpOvZ4RQwLgqpWXW4RAjn62o1TZDnG9+uoA6OKui4lPjpvPzNA2mHGdOcuWvT6smOtYJRfNm5wop3gtINWXmxqDrbhNXTEthtIrG+qRG4lUsxT1f0pRtPUyx9Tbn2Ppe6aK7fqSVTcHmJtMyAe+Tq3v7rwH35PFS1q2AVAADmbw0sQJzTp0huxTnwk0OOic/OoFR7B2ICJ2f0oClwiyVT3h4tAcECFLHHoc14kw9S7rMU/xc1yPpVcjV1t2m6i/LcIFPXNLPyy1epoW/pmzBi20zQgdizHO7/ZrM0uZse1b0TOYzdK9duFfxPjt6/Qp/y5/rpE7BHyVmIIgEbOIw+92W/rnJCb3rpqpkBX0COg7rCOUu1PnIc0ce0JRmghTs2FBxriPDxA/A00xg5kKXBsjXMzCcjTj8FgZyIwkzFNOkR15B8Ua7v6HTomrQ+arZN0px4a0PbNwrqZRbU2Qg5LwXyoqKlwQaumyaIf3onyLJg0vxDLrLuT85zaWox0PEIeixh89xoZvgcsDajUiLbH6pKwhqXlSxZDiZjldRoFe4fvoe6T5S7j7IRQgdEDp5WZevvpd45NHc9JzSnsYPE+7kcFnC8vpS7IsT6E+TUHZBNjTCTICg9kX3tab9z++Ck5F2xDHSl8aK7Ac+ZOTROqa58hzMLiKtW9o9T1+hw0CO+OBlQEoXeq6FMWpVA0uGcmUtaSwHlQR5E2tLbyAEFPXt2RW68DH6HCnGYPyp+S1PFDnGWq8l7kzrLamcDPrJw5E/IrOWaU6F8XUYQxBJWJJMbi0i9Uw2Hals1CZllrhwVHN6KOMjzzUdiLfPeBrZMTIQOACzG+aVSNYqQqSSGPBAgSH8IVP5vpQ7SWPAHPB4hkTlNh1sBAwr3YFj5aMwVMoRLz5UZsNwssjPdGnKuffw/sW7R5b9BmgPz9Pm3MuVqz6PDt7EZyGUL2f/eysLldeshsFuzQzkgwr+GGHZoZDyRX74VjyZ2IQ2eer0t71Y5Bx1fcjDClA4SL8mrXNKJEcf0JMkbNoWPTqkhCAFXal2GvHfoNSJYVmmPNkzYt+4S9rAx2nnwrkJHlZuaxhWkHNL9LV9GxeEtdFIeDBHukLKMTwgKhRXNHeAIgYu+pnz+a85e38+7s/KXM19EFQn+M8iOi72wlPu6c1Od8YUnvFt5rbl1WZu0Rto+F3dwOZx6TfGJEOK2JPCTcLbAd6c0RQ4ZliSikCBSO6IubQiZ/3YfHELMEcobSN3VvmjIthfeH+xFXv0zH4k771p7GXEdiUF3svgTn5OcatpZ7JKRFkE9Ij82IPVfWFGlZI7wCm2tZGko7C0yhrNuKnpYHC/REK30iVqozgQyNvZEqxF3KEHO+YagpjIaJkD2wQoeyOiMnL7dwxQCzWgyVgQVejjhY3tbDqePvriOllTj5WLvJ82R8+F1nHOtGOCIE/TfCJj6f8qLwJl8b9yPqxIUUfaYJ/f9gRqr4XTuFzRh/ZvwHLJjt4N87d3gZPZf1uPj+fqgtu72fMUZCnpC/FYQpPvLRepnZKizaLZKpyzkYNfIjFoLv1x8A4aanIIV/z1aODLZG02JRShS4zw/qtdD5GUQQcGmPA2H7V+BdQrIM8KU7FgNq/c1PIjuaovbe+hKDTzIq8yWceg7LhqDEOS9PeCLugNrEua3RpK1SpcL2QT24DtN85rgZ/c3LcQFgUTIf043CB6pb2SntMc/Vys+2WLn83hSZMRsbl5DzztpXMAxHac/tymtn6tZUCBsR80kiwOCKmbi+1BkhACa7mu+/vaWBoCN0kZ1Y0Vb07cbnwGT/68P73NlMgRPpWWTBlKvvfp2TheSJMiZ0e1hppLBzB8iPAfONG+9RuA4QZrTTcqtQ3OXPc0THQMo0hvrQtgo9j5SwaoT6PayTCvPNTb7MuFci7ixYRnynz6+Fz7205wihE9hJwMZi3d+rA819pqSBUdpF6M9unXPDyYMkTSzWCrE4OYOAZqvGTCiTWKGUhDCcqEGbamgWhzRMahL4eRYfShwD8a4ashsjQpIdf48UBvNlRnF7QYhHOmKrnWWihREArCFcfVLJ6RWhwozZY7QNvrnVKge7h+xV7kuFBpx9ZYk/+GXz6XYkn2lLw9k8b8omrJ2+a+frl4V9CXQC0B3HuXJDITHxcIjwop2PlEy29f60TyM0lTzs9lnM3Ix5hGilndX52H5+Op9Mjvt2cVZJnkAhHkGkAU/Lpgy/9n5f9wnpQz4U2ak1WL8SsfP4I0p5IrCHPQ2ymoqRaXYDAiI2CgosnjwJWHjpquQqxgY7Vjwpuw4MgfELOK6JPJXOhLUEI1Pc86hMQlGHRagnD1Fiq3CX+3rgezwirohYfOp1auQSqlx8ht3oDTWpKFDTMkWYZVefqi6ajfApiT7nZODjMHNRkVuXEGjBf/8BFHsgvZ5Txp0AHdnhLL+tARaC2kkb0EzASBSCSbh3kSs4nB3NLEha90ZBfeiFDUk+D62k0cQS2wfLAX4XGu+l9yvkLm3AVUNATi1LVzl5b/DA/ZnhxDz0jb7CpN73f7v9nP6c8jHbv+Vf75NBOQZ/iyBT/LFPXvT3Fga48OfaA/6J1ijIAPTd4cf5mN1sy+eS7e/t5mQLdnxOnbjKrghxZZV17FhQ+I8QBWZxmcRQqdkbJIE/Kqd1r/JasQD5Gnf4FeEAafdje2QU3fQpIaVsA4wgx5fasyFm11ArDxj8fUUqVlJRqfFpSOyDKDYzgOyyrs9pSaKN/rr5qTI2KaUsxaoaV9DnhF6HO6WckyyKR6KJUrUvSjxC1SktEKT6t/aFu0Yc6F6rSqM2fL4W2/5EMLgqlRSkOvxnxCAtmWvknHmFA7a5VFgyTQUtxiWJWr2BnyvIDRWtaeWjF2w0toGRMZAjShbQHr+SLh81K/Q39lfdcWjNXwYxl9NJGS2O1qRIbetZZBqPUAKigCrcUUH7nL0J26rw4Ty+6sh6GF1n0rY/1L+ZWOfQQRYrh7whn3Mf7uOeExGLvgL2GfjzlEwtHC8+uBZA2xypSWkQsKXudbX0pZn4eEeO7YewWYX3WLKoZo/xcw99zENncVsm647btkgXcLwhlG3HFxnwYYt4S84Ig7i0pMVB7HrwWExdBuBXzwBKOwf2tlb6lOcd0MS3xsA8reYjEOQ7Juw8LmSfqOZHQEslzoLy1ipVOSfnkk5PKkWpTvRRKYETKBKAdEWEuE2ixQTlehBDT5jDodYRorpdIRBxHl8LdV/57c8urBKYiTrooc6TlVNJ7d8kV4s/jTjekFYqwaSA/ERl1dD0CleK3FAh596mNWo0Ar290pf3iQUAlYDIZT66qVhy9mtr/4fCMJEfIVIh6SxQh+KMPiX6Fj5L2+TnKD09ltiEIq55OwXeCrq2Csbt2S/sBkFxJqtmO/7IPVByhgHBBKYkUtMZhX8ylSmQMqQSE56n0WYNwRDQ+RZcZcaZgXQPWY14w34XYGn0YaHwetpkKNlaB89zhk4Lt6B4p8iuxRoc7uaH+yLix2gtMxU8qSyeaRczFlM80kG07y6LBC9UVaY8+EcxKpYyx0xzZdR/TIIgB/MoUjYKcdWBv0NIXDQUaB1kczhCuyNt1uXSo0M+vQ6u0FTL8WAeoKAmTEBRXR01i/b0bOsYMDQwgG+GaqHcKiPdbkA9wBqZMxejYmNMKzKO0F8EeJkyoSeLX+IfsqCOnnK0Gs0AU3kpXISW0/sGQ/hPyIrgwU+z8Gi2mO7Xn3VVzHO9PzZcowCbuD3WGkZnnxQLJTgCzMEUb/43il2Ry6FWrA3UtaDVx1XOtQN4S47FIYgReEtE+tcORS+qe3r3SYtzAfKcAlWztbNPZ6Xkw4kgAFZMJnIJBo8p7SWZhY6iDcIAD4XKOygQEhMskeooLg1lSqkXVMZKyKUGLDiYs977zU217/iAPxxu66DuNK2yg80vsrYb37BqLMlBRC4XgugEXioc0M98Jf0gOT0ZY1bqRaB2XDvECA85qnd0XIrTBx0eF1/6Lsry4B/KZycCC0/T0qIm29sWbdH5+QT3p5AzqtNGBpJBTl5F8g8zWgp/JOXHLC8M2LX6Q5KvwJ/tIF460vC4tf/KPVHVwFtgtnlpvZ7EP5nx+B60VIitQo/clXPhi3rXvmIOR0csFUaeZZE7nOZlO70ou2VPptvuB7XndWRGxPFg7Bs70UXKdi612oJqoZJBzjjFAY2nfxeKCz+gKXFSgjKZujWXz5d5VXIhzBZXs0qp1+sniI612LDq1mDlrTCs7V11pVlVfJ2dKWVZTrcFSS8vKKiujURFCKdtWnHCQ+QTPv35CE77No0Aa46BMSUE8e65Ul70o16GdSEEvQadKMdyj9hz7YMJ4nEIC03pXEuE7YII0g+r3okIqxxnYTC4k7pi0jJwO02PVVEdPVYaplhpqqanCHBnBxsizvJ+mpHzYy94TG+VzjgxVzStJdGXKKx0I8TO17dz1pAirCuyByZkMsuUWRiYCbP47KcUAO3/OsWBxnOr0UA2lgEv6ZDEQmM/CXkEe33nV/HfIlGQEVNd9goSqzx2n5zFrQyqLSyDOZqynDULt0eEwTFGDC8doT9AbKi83u+s7KgtlGuY4FHaxcDkw/jEXVO8FhH0HBJQDExMjjIfP0Wwb3ofmsOHj0Gwb3ofmsP0Zhykgf+BNrwgmlX7niq1+Da3eXXm5KU/NLh4tSPUmzKE3V82HmrvPGVjr+3UkcGJqaOLa4Qda3VfYp7n2/rc+/9/e9KkVUSbuVHMvh9qLoxXyTxgyvr1hdi3SABOUgJGDwokt0pBQXF9Vd0T+ENY9jeYm5im8OxHQHbDaEGzxb42jaAbfbvNeDUDpynIo0jVuj0RliH4mIce26LK8qNJntFSee4RGf2MYPA3nR6edw+zqk7+PvxpBHqyZ1cI7Ni07rIWO75qjVyqovja17fScUTXAnjIqlZ7k40cjryoPexxtDbvnsG+L97rEQy1neVfljIw0imfB8gz8wBV+WiuyRkxcFkyAclStXFAaeeN2q0O1NmfpONtzdBjzm8N5OZwReUZ/nFb1Wz3sLVCRDg40cA1fkO8psU2ucLm34VPww5YpOaar7iBzu8k/QK5hFvZnokEPR50GO1eBO54nK3AJ4WslkI0Vw8uSeEawpKQ/UeNmFbfdpXHOQM4UVAvs01AYBeoQ7N1EF9ZNlLnMpzORA4kUl6DFjf81xgozfM55XtY5Du4YaS7ultOfwfBdeZeA9W+34Bs2YiOMUSkjq1rPQm/+hP4Ka1JXuroUh3+mo5LETb/yAshEjMBIJ5/nLPAOMXX9MrXEbVkHh3IpTFA8L9P/Fu4rb14uB6T5accblUSp+daBM454CK9y+z+1oqilTxspkcAuRZadCV+g/rlOLF0meNjp0Ns1o+8XF7NyTBpb9VWD0mihVI9JTzLz1N5d4uLCz+jCT+7siPHd9MNwrBTxVzwthYrCA8zJCtxnYWIhKjcNS00frWiapo4z9JN61pkYK3qiggU5OyVjZoJSGZ82b0YIS3rXuWKhds/s2qbeD53ZnZdRjPn7yP88tNAqn1Vh1ij8l7+OWr4vvzz0WX1ooT28Hs/XUXDOX/TuvzVOhYDTGaOd6havvQun/XOxGGbnIBXgrVrUw5l1tk4PbzcerFTXPgaCSRU+CyRQkzQn+xr0gdJcokgQv8ha3YOJZzet+ESCZoyb+dORMMNB/sbArMozY6yC96b2EWHQqebiIRnta0mZ/ApX5nL51rQ5MZfPn3JyPhsyi9c2oUIcHKcQxtVxygh0vLMDXwxZI93smo5jMRhcHGreBcgfJMFK+mVa/bvUeK5OGjRoLiz/RxItzhI/3iyORdEOm7QJWu6Oj39j89FWQSvn7adG+/1JAbfe8oyyDv3WyZ1I3pNO4z3058499ud8L3i9+cjUxnZxvvpD9V71fvVB9WH1kTzOMWtuhFFuTdmOq2m0vbwtgsrnN2yg9sNzduyjdNhXY3xVOjfRIKz0RmhXZOO2e6yT5O+jsjGI6ONTJSb96+E+euySE4YXA7iYiCOU7KTn5T6TUfiJWEBq3lg6Q7y5GITGVqsTw6hgqBihEqyQSoktC0SrYg0XZUQ/QoivkFC658/ajEhma59SSAaElHzTLoP80OeqL2hyz+m/jaadR+3YtLeH22G0MKcHZZDRHHKGaw1q0vPtGwciqnfNooCHBjJ7mBRkFtW66cj/uJDdtNpaZTaK1g5M21Pmg7wksliUoxoJyGftVH8eSWTd4iH8plTXKnvUH0QV0S7bKWEIhX92mO35aa886jPnbVoo+2awZvg8rxQ/zyoNky4r7t+i00kSzXq2wtV5i3rzzZis9neLHufSeer3AEBlAQEx5Eknu6V80tmiVGuvWVUp0OBl5YOlXbDdAUg+MhaJzcvmSdp1ERO47y/k0OFK3aM8M7hGY2qiyLJwERxW2KtWRyKgENn9HSq1TQHaLl5a/tECdlc5zu/ACt6/OEYUwi6ErvwUJpV9mpQoEehNJ/0MTG0t1UbGxq2DIZuq1aP7PNLNQHURZv13A/pp0TbKcIjLLS8xo2x4XA58/qsruDmZzrMvpH/UeVQcZ1QKWkd00jk4NoRjiXmANEwe88xOW+W1LslH08MSAdwvPQPzCzKq5kwRaFdMFTwGBBgB2KK5YHsL44s3ujwbAMlbg6hASqMBE200CfanXtdF+ZqTNncPfhyIBAIKUh9LLrusVivvrphfnYOrLnHbjNiprDFmGtWWteX9YcZB/cL9tZfEgV8vJmsvUWRrbyP0r4lHEk7GBxemNDCOashYtRX1OEUoLXjHcoMvtBToLRsEGegAxSHkNttLBXitMJxJUS+3PAGM8p49nJPjnCjaE+cdDo4XMSLMmS3j1fHFSNEUZE1/WBwj6279bnU8We5tnbmQPRaLFd/Jy5ulhOVN3vrsW8jg+zE11TuoeCa/kmL3CM8vIpUdigJANiUjwNqim6RabWi7qgavlC7TlghtJsy/4bcpXMPzMVrz6uEwkSZX948kEopDgFONiWMW2VH/upOrW76TrlSTS7fUIpLiMAXRjjKPG0llV11okessv9lJTXl1NlVld6VLNc5RJQWURj0CVcTe6kmVP/jve4jiR+D9OhfBmdIKNAoSRAD0pdVqPum8vRIFUMbs8HD9DhQaqIUoS8k1DyWMokqBs9SLm43KFkcE/IKsHzJRPpjGsAA4SwJU2OyUsmNRI0AVCErzdI5Wtxgbudrd6pPvhmPm/aAkgK+qAndrx1mLUpOI5ijafNWedCkvJMMZ6sjLB9VkLskRRdV0Ao/rqVyC1QQ7x11W0ZSDd5UUtmLt3tG+TcXzhU08b14W4eMDyh4jByRRdykLmkkXeajxGJOZilwTDpnSTkAF8U1+n2LrOiWO7gTDySg/bmgdlup5b4EIfpGYsOYExz46cTtipAHvyXRWU1bFs9lsCmVlYiN3kn/ybCCHF+A+0Ub7Ts53snGk7uw9bF/xodstf3IBvAHc/ZV7eOpTGJ5AaCdgHCRPnheLJ3B/lac5ksW//xSiT2sBu3kji/z50GWhF6mAun8r01q45k151jO4NcWF2y29EP2+qT32HWe5CLb67S788P2bvW/z3VB7siC7tc8LP7Z0oYrvI1kD+/toNCIMgyg1Uiuh2n00IRbyO9EoPpzpmUJ1YaV550XAKSFo1cEsmXPIUY0IHt0q7hUpnJZWTytgWdJVBXauOhodlCToRlDWdsPTUAg5EAyxQHv/+YMatLB7ScWqlV3Kebe5y3Q8VvV9/9/8QNwKr/Pu5lvmhdvhdXWSr+rfdReTfq/aCCdP67Q+32UWPw+SfO5nnSsDnllXQ9hPoqx/vT6Au992WmRvbonOeoPvIs9Xrb+DfdD3AjIc2IIYKC/kYNxPdst8L1tDVw+MiugVDo6SesyqLJ7LAh05TUKO6H1MYAjELkyUBt+im5wEGf46EvyrimUR+cRXHpY7g5my24jLUJkpJu5K/Rr6BwL6x5p7Ruz3MhNmH1Eqv1VU7Nohe6qaI+KLvT39Ox2i+piBzidzm3DyWrBSh47aoxzK21aoLwmrezKVLS4LISaxLFX+tR22O0E1L7kStU29GjCbk0pxxVS06hUm6FFDx1UDk5WAohCnjL43AXGiCA0v1LK31KwrR6puQ+GRl8Jgck3NwkHEmteSjZ+cLZga5/UIhb0KiLFVH1H2mk7UkVq8AC39CBmz2GKDgwU8WDXo3dmuFZ5ya1UdHHkrV5VOSJk7PUTzOfNFREMFj6BUpyy4HRr8lR6RcYM/h2Zg2bfgR+EPoxcO2v4W+BZmpNM8tuRTZHzVqynm/kEG9Xr59PXQwCd7jl/04BlNnT/o1BC8EdNKne7prPpLwzutgh61fJheHPOynOY+uOsd5y/eEco0kX5Kc8AK4IiKGkgEz5sEu/QbJhY9oUXEUCQCRbFqKUs6gyRGEWdB5BRJuKETosqB+amHIT+ojFxxpe6J0SmXfh26hSEDoHIjmc6JQ48oJ5CYmEENBbKXIDcqyFvXOKImSktqubXN+eh7740ExBV0mcz6wqFq43VHfTzEVKv5jUGlqmMUIExVQkXUTF7lqdlkfDJ2WoeXrW3GEW6/4KC4MTFusEVxdFWJl7fpsc7bc7f3h4bxVkpIs7SHcWYwsU5htYWZiXHBKAisDFyc5itXwto0k4/9LQLVvIBVEqIqX14X07KS4JNLrK+C8jXGfe8ie3DMWM4ZtaKEsQvgHFTAH1O9N3ijASjcWwIoIKnbSDAlMnTN6yw7Mq9ecBfUj+9kt/r5C8NBuVzPa92CkA/FJ7HhCWl20DM68a7oJx10ZH/uAiaSkDs2Ihg5qH63/TSK+CCHhfdZAG9fBIinta5eUJGBYRrLvgTkuDrPLTCNF3mwbxKuHdVUc+iUCiD3K6rTEOeos6SGeIBQy36fKo9wlBUM/07+0j/nVAKnamtcRrWgj5bXEtZDNJkK1/nLskdM2okKqGUenLbfsqSIbzp0YlsTYYqkbKV/8GAqbOEgwljPqcYkKA3+geJ2/feZXFtLtuppKXQWIuSvQDtqZ8E+3INvS+XFzeQqHtEuMh7vFI6jrGSdNicTl8bB4t03NSatbv1FKs0jZ+5TotanJfvjTDyq4AE+7DtIxSUtY0pPQ5ifBwATV1ZYrc39L1Xd6/t1cU65WPF2ChS/FjfINwnpyjbxvLhwYvt6iWtlQ28LzqwWw220BvJ7AZCYPbL1E6OTNcki+YJxsCwTCyjdG+tBqTvHRGwhMHjk4XcR4VulPZjTgCTFoD7f+3ndYagUaBE9+fu6wZdnf/gCKHhJLSUQ/K04dOiAxYIRYDWgwr/bxBSRxLdKClMvrShd0Cqto+8BWsGx/HuzIEekiH0ULaqc+gyl8z5xI4l/mVMedah2Bu4GIL4CC0HPc5+2nMIirQEyt33Yuu+M+V3LvH3bkiCSlusKWJEScSibg0zYky9ZstQHlOIQtnYA0cUjRrvXGHI3Tlovxx2VCi2IibqdC0e4DgRNUVCqnCbhUjOStvrNLFYrKS2p+OeDHSXCJtQlExzA8qKjFLd6xbqJjuIaIzCHJinTlu4i+5sg3oLKqE7f+YGZlDPVBwgi8UODgOADeaj1uPq4Nvd47pPcVBYBE+brANdfJKeiEKenVUQtSuG46l+ltEuzDd/QKmg3OE4tYttNqXTOMGTah7MVQvO2pCYcR9x7tDKiLF4Fc/31xrOw4PjsOjjL84k3tLsAHGrtEQRMok8wDv8c+OzQXt1nCxtr8Jwy2bODfroTYSLu7qfTM2MSbUxOHglfuyJHCisXHjmEFFdKzLdC9CNq5nlwk2jP3AoF3jIgn6blSl3tdLCSK2bnzExtgkrbJvRZLdu81Ue+kHtReTZGs9jT74D9vfY3hZpQX76UbluD9Rkid2YqUGG3Celurgg/luOu7g5VT9m/n10xSCfKE4pJArmsqSgBU3I+3M/Eas/PPkJrlDgQIF9y1WMK+cD8/WMyQNbL2em5HyMl8ZaYL6lZYj3i1BmDyZ9+j42f/eFSvyPfaRhn6cVKQRxm+PDRlbfPMthLMhA16VjCvn2Nw+yLvK/NPrm1RcaPeJjNlFUAAN+cCNuYHrkKWOUUWZLzdURu4z0uY1Qd/8l9GTHG5LWeIBEJ/PaOlRnjXq4gjwxAdYmKqEoyV3vkahcKfoU37vRafoUkx3OD0Bq3xl9l0SgP7Q9219n+KVBadTfKjHSYxzOevepQSQIZ3ST0qE2f4qcRsQpjhRM/elob9N5JUihW0uLRUmbhQz3YSKtEB77sUiwfrlfCuIKWVlsn7ZnC63X9w2ooVK5aZWwa5PFwBsgHGWlLxaoQ5nr0BE0KDeKgcAnQpNRJBp6QlZoWeDZouLpGQyVPGiXB3mSIGTTh6c9mQDX+PWiywLWd1kqqUzJNq49cvMHxa7i5iq353TFKEqlPOhgFNw3GpojhpzyAUr//BqTtBmux7m/YgkEn47PW8p25SP8iXnc/Rv5ne4HQ6EvQIm6c51sNw87YT5Kh2WcmKeYMJCU3fIkv3T5CzrW0BlezYL4LPyjzO7lpVkrHMt9ihlwaz0JffVDViWklRpxdVLwVjxEpD0il4R+KZ+jtwqbYKC8WigWBsPwo8i4vmQ5kspI4egjD7YIDIXPkvYusTZosh52TPpIwOi4CrfChMAdsolANFlCwaH7XtWRW3/NdAhBGYx+f4okfRFgZmcKeqZtztIK4Z11OVfefW1Bzp1nAECO8xOq/p+Bz2eKx3+rtXF6Q3ZZuWq7t3phrazc7mGDA35vi0O9hEf9rAFtxQFOBtVEt7azBaPM2FpiP9jDgEorZ/2ZMPyWMHHKNtfEZ18XqGhKAfhh2ScDz64f/9QUCmQIRQbczA2QagC5H/d9c8zSzK2zZZTd2wcTHr6DTKmgKhxnJprNVV0zQC6UqdnRIAmwV884/9a4COiG3zhIQ0w+uk6t28i6qdfQWBcMDSoPxWVrVtXUCpxrfd+z8XVFICiMNbMBaLVpPfhA5WMRL/udVF2luNGyu0rFlxTcUo5GfoUy/jRWBVTfCqHaUHuoGM6nfef1dMviYaIuBMcrLjvcEMaaSmrWh3aC9pIarf190qMBjCK6AD6uZJCo79uuzgvMyaEGMWGYPOjlLtk9HWTxup76ltrOePa2EM5IFGakuVSZKNImc2mFvC4RtVyMsIMNUwtw2MluF+5RVyQwdLyfVw6ntmrk6Fsq8a4ZPg7BhVBdMUVkjdlnPoBso9WmLj3eBnyLRg6fj9DuTJ3k0wsIuUG7HJCXACivITl8dxW/CY14ICzGetCgx4xKMJSkvnUaeVSLOczAOEVp/gJMTppZzz0pcYKXnYQIi66GsR5j6MC9YKqbFk8sqRPMancPSjGLzMR/Lg9P9JqmxQH+cPLEYhWLfmgFCKOllwfTKpL31A/4uhd+PTmfx8bHt2nLmyi4O3yjyY0CoqxLKpwXJiAorc/ztTFnlKnd5mmsM9mR7uUqRxwuEUkMFcQC3L7K4LvPrHklmlau4W6LmeN9ZWRq4tRAp7NgPACJoPC9IeEerppMyfAyIP4+AwDczLBKGYpXgxIoczsgXFNg8LPR43mQa+pWbRn+xSG09MUHNiG1R5+ouyHXU6sPB9rfQek24XZdeI9h+XGkZPTWzcndhVenpKX0JaC2uwV068oR42oLf+TmHtVPLN3oTcJd98YMN12jtKTmWuBe49hDSlF07xr3aKPpCrtuQ2oLOHQ2O63qTkgPJ+7Ilt9HvMhaUrILmZasn52Y5rfsyjDchLzFsJ4NBAdMFc4s7ujC/EsYml2MDWbw9+nAApOgxhwThCiToBkUsVzkWrdHktRuR4re8UphLrjBYpJY/QM3zMh4lcjaxiU142rn7YROb2MQmNjWMubGpj1OY+g3F4Fz/x2Q+iFic4yhjjUF3SuDx5vsrwFZx8wYsndZXIEvIKn8GC3ferYGgyvbm7ms+Xqgy0fLSvLpuUiS0R1GwML7biSnZE2tNfOBl1CYZAUqiwIa5HGpYRgKOUbhn+a+OvOl+GrUoeiKuUtGKWfJmgKC7YfD3UdOU1o0EcZ+tsoiKyeUDPtJK9lA16EUxC8Ix590RbeTFKSK7J63hFrxazfXXHdVAnnfOOMBeMWQN+JWuok5QZB2hyjUwUhXC8cji+zT596gw+lDssolDtJFWs16MxC8wDdvzQ3vxzSlECBa7Hsr0GwqeHR+Uy6BTiyv/gD0Qd86Cj9FxSUhbTQQGO8wFgKYKrHWGZuLc3LGzz6mvaRYoGZc6Yhh3pXD+SXld32m4svzIX2NRw2qdCRaN+YqNMRWcAITMbikJEwk2kZ4wvp987UwkLnxJa7Ws2nxF+PjThXX7cBVNIjCCW1SLZw7czoob1kMCRhYJTxwWQaz2pKEEhrRY7RX+KusmoAn7rQZNB1SRqL/JbcKpOzkH4WKEFI/SPhRlhUq1fBf+jrh+CYJ3no/JnEa6H7++kO48FgB0zAyR/j1GDMJLzrhrWpn1CUPMzwc+XRyfp8mgM6lW5lM4ZbjP58+3r3J8r3wqSR7MTdtLI0FRxkP3PQch8JHqiDKfytKC0bmGSHavnU68ieRAlp7REISoEvAJ/niHmNzGR/kYCekz4WLUKk01qXRCbZiSv8ikwX92J7B3H1klj7w0Zqa6Wl4z5Mc85706I9nq56hZ6UBBzBqAjMSy1C9hldbqKEO3xzlkc7U9PaGV8sJmjjtQNITwPgnE4CNCFqlg35lpOknwAGSjfisLhvXqbF28zkEPtLXkslVF7c6wR7sEfgK7xaBXnRUIlDE/hO95oWh2FYdHsA4IySHXpXCOirbJuEgKQE5oa1K09ZmExayHVXcRyeR/xZ+4QX6wp7sXHjWvTILRZPenyiAurXQn6uMJCYJQ73dI32NvblrRVxaanYChxLA88R+oaMXEA5x7x3RcOjhUZmWS/4brGtY8iN2ocHHaKID8Vx6ajXPihOWCBAZAXqryouSptgg1aRhUhzCNZPqqJw23+wSyPkNUyP9lMZCIuYsogJmnpr17GYzLNu96iyLj18OcUnZeXzqYNtcfLiEHQgWnnxfrJ6S0tD/DZhJTRNif/JQRdw2dwjU5TR4DJ917y6dBhIgSRNu2qXGWRO8xReJHmThClODa0Sx8iWBBSiAfCTXXOQZiUt5X9oocg0yaGLnZ4op2TNeAtdCGYJ/9MjegC264+MLTZ2MrJSTdKe5SXCfC2uvRRyHt7PexCWuoangW76ATFO6tH5lzBYOhW99zGYzuYuUurBhHTk9G+885Xn869yElJzfiixxDlJXjozR2j2889RxUMU/abvnwVaVrlSQcApsJ3yd3UCtW4UmQMSoF14AWJrD1cjDz8oi7g2MbWItln9m+TpDmnD58Kitf6S44MtbhlejEPuQA5oCEw213byfMWtx9AlpVOrokoWYp7qmfnTSrKDVWcAaAQ+9tFsBc4EwtrlWk1vndgruPwTwAO4k3Y0l6ySaW81JGP7W6NSP/qmOlgnAQ8/AFoMNcciF258XcCv0Q99ipVORwLLZ6ZC3PwdeZOEfYUelljv1wos3JYXkaciJocBz+M6PVC2+1Ek+cR3Hhss9j2UuvWIhJI/lBlWoiioeGvVTaOxnJwsDHy8r7zC2bMx6jtKbvkC3gyQEEQtiWdRllYh2C/DvxlOLLygBAI8QZW/weGk3Y03s+tccLuhz4ongVbz67Vunv0LgMOszLolpRqE2c9pqj+nJP2tErLoRzlB/KIBBuoRAhiOHt7rNLOVbeEXE/du/3YkxVdI7676TNkjic9seQEHD1MjogdrMaK2tH7h5Iht5E1BbsLX/vmqc75aaXgOBPJ+3dFoPay3T/kIwYU0gD4d5Em1Z++AZ0qKQmJ8ajO0S/e9NXr0qpYWa1iGi2uTt2aenbkLCHvfLxtPigHRAU/gnz+E35WG0Lx+1sEGx5bbikR14VQdy6HDvYx1DBbOB/lFrLj22Iqu9mFCmutMPx44iL1CqxP4tsmkB5Fes4DkfMPZz/faDeG3uOV9r38I3vEa11EPV3qAcmEURWPLjzQN/vXzySoF9VcwqicIu55pzE2T27qfHK9gIk+wpJ9okB/76jzjpgdyfZ7+EMgM4xoh8hmos+2PDkMpbzhL0f2UYXnWbdbRpY91HRiWLPIHnfTnkx5G072eshysCZuDQwZt0TxoHbCeuO0T1sy74/rdy7zd5QM2zfGQv/2J3NsRzuNPpF23QqTwKhF6wCV/LUh3x6xNbFVC7WcvT3EQnczFMV7mUoUINXqm6TgCVb3tmrFnA6uUGsutJTqAZ3JXtV6gg3x0tlz9hIAXAhg6ANGxbj6aFFGAi/hxDbLWWaNZg8OtiUIqpdWJwyN1b4cen0+kIGYBI4bWNNF+PJjBNKquuJUoFqxwtlTIfZ5KHf9zWxLwgyyYglV871+v0N+nsKuFqhWpxBm8L0lcDGm1wcPU2FVDO2yVSNFua/I1tiKA6M+SqZCm/ajUDyBH5JaTPFcgwXU8Z21vXaUo3gGP1gLMtzvsSJ94dcUhEqB72rlzVSqyr8tlYrRmBUkyA7MAKTk1I9ruIPM3mhRBCFKISofLTH1K0fE+65uwKzbdeAVhouSh8I8vbw4DLwzFdDtOmVFDO5YlFISp5aV448SoDTaRWfqaKnsF6piq4Hzsh6yEzyukjBhMKampLmlBk2wfn8S7c6It6AVyKD0tcklcKtTpPzxDYbk0YnTnUKIwQ67fTTkU5y53GgBUCFqhUZR4FIRUMr3OlNsrEF3Mm2kc/XjTUwIlGqG1jCwxT7/tCtMN6U23bK216eOt5MDTdyHxks4YJLAFzC1S5JyviW+76v2YOpe+SplY00pNTrVvkm1uNrpbC0snlsQvATUUWuQF/Noy4CcQgMQxehweasW4mS4CY/D47GaURicqnhRSHMdT6kHk36KZBMhlJgSBZlYPVho9NNjdxIpWTMkGbqkvo2J+2aluFmZj8DBbBMnn0oq4ZKwuTKS6SvuaRVD2rTBxaV8dOB4Ee4cpTD18YGiLpx/hQxjjaHAlKlxra5/NaSrEiCFKWtgseDpUzqkA5j5ijPo4ln2IXIGU21OQQr64CV1Tj7djUuxh8SRWX6RvP2Z/lGMadSs6FkxARcboTGnjKS3fhiVLGeJPXLV8DHy51xCFDe48EqxNVPiwT1gHeNvRFWgupYUHKzul+ch6WgXao6JCloIJKwpJUKtei3dnytiOKc5DkBJZFPDLQmRtoXoYLOvpmzvo9Qq5utI/VmNYlpMndyJJsuUJ9sMfV0MCPCOI5mFCR8dE5NVGQIXJQGwEv6a8mtXWHyFy2IjfrlJUwrdo0yu3ktvt2yFn2QYc5vqKqzaazL7LpVql/OrxQpWt3/uZnuSiSo4AiNZhk3uwzgHXf+oR6zSFjGBHxl7SWRcNZ3zcBfUBiUizy1eoYXCXXIfMUWqD3RSCjVxTND4WVFQrNmn8oA1k9YvKqTeHv3SiqiJCH/jHlHxo9GgRBnkgDeQsW777OAwQS+rt1tWoHhC0thrASAupR1Ft0rY9cnla08KiCm5JhrCZCuPz8b1eBJwypiewGnm1W23IWy4b8VtTFVr/LvV9fx/5m5jP+3ZC+SI39m/TxVeXfxgJhSuBv6v+vDmN8wC7PvQD/gWyf3O4DR2qqWzJBO5B7J/0Le9peZhIEd5eSmShQ7AT3EGJeU2dVHiUKjgFGjI4YSnbQQ7cci05lvHU7vRwHBrDhVYLzHeM8CV1kfCvR4yOea8JYZAdEysjw0Yc22h1apvuhp1rFG6777hVNpVO/Jtm/JpxOKcqe7VA9lKJZblwqraPcKIaau8EtKjT7c1lGFHtYBfWSx9JeBVrDuJXSt1YwZVilswPcN8L+ghC7zJoYtJnrBOZRsb7Raan2uojbLgoLWeDY9Q07fO6ssUdOhjLw+OqFXRJnk9pviSc6SstZocCSQH/cWzDUjEvUUs0E4fwXwd5fW0PWsVSDPB5rcJDO5Sbb1uoI/W8ap6a+YQgqg8BRGdiAuyJshPcunn8D9bD9w1hRU+I0USq/IPdQtfUrqAg/zUY+6QC0k3YBtb7hekjXaw/ZEHo7nd784URwDfUOoxxOV9QKrs2sCUCrT/cxaxHGrYKrA0g0D4ciOipCUS6XRVv1lLvgC9sYL+hh0ebjFFlu8/W8JsomDiHihHKtkXrMKGrNVsHQpMgcqwi4o98YCOmir4JgiIgaeUCYcDbr+/YBdkQdHHhO2i+xAGmCYdxqu4YZUQAUjO5vyP4ZtpvzWSrFKzbDuYF5BXYENIMahdeJMYwVt201nDEN8MqJ18MkcmfqsWbBsVl8fiAx8XZC+8CnRUymdOcrpv4kBvRJ47zmV464AUmvXcUdNBdrhBegCkNBeJ+X0iwBlJemHNRkV0QPE6eHyEAeZRbjGyZHw5LrecP2VpANQAwCU7P+6U8IRPs26jHljysi4+suN68dzqjf/HjwsCGSZDHVFyV20EQJhhQGvqBmkLp7Ob5UPSxmEPi7KMVEYZstYl2hBNtsCA9qam3WP2EA86gc8FEb6Yt0DkYb8DGWY4/YBifB/A1Riyi4msEQEDOXPDsSKl/6IvrTQY4MUDheGVLiExgRZeT85CfK6Uc6ZfpXwsbPIhNSLuQYJl2Uhw6FFiaMZhXym5CrbnpKeXNDRVHw9OZV6D5Tu8nj5IkNpcpIRFw9z2wSCTFaG0DgDbvYogCw4oDgs6tm5Z/J5SM6xMtVooekSfggJhiUsyXzMyT0nKhPKp5lRqJCZkJqLBxczvBgBHee95kD1nmmJGe+xj9hWx1mkx8EvBF1ut+OUkAgQ/hAJnw5U+u6NPNavD73ir6FdDgIenyXsa/sdPSFlBhrt6Ck5aBe44Y4S8xx2AQaZIFrvQOVh0rqm2j2IxZxbUwuH7pxZcRJ9TgInpCjkZ61eyHbDgT7Su/D5qRqxZDDUzX0dO5jG+CyHSmbyhUrORh8r/mtKAWNkEzg9iJynaqqhUfgwhA+7bNeFiectfnyMeL1dGDktWKWl6jKLqi83RdIKm/Xwbtjlk+PE3Ay/Mhn4WNsZdITkBX6Ts7vo04WTq/KlFaQD0+UhMTf4t6kytYws4cYrJEF8p0z1Lh86D5jnptCGPEAg/TWhWfL4rIiFkDdIB+xKTXG7akm8MlJc4x4XFNCh/R1IEh2YTjomVwYEr5PNQuNVmCpi+QixZrMaEKlkBl6fEaMvPi4G4ObEw1P24dOJG3DZnC9spmzDXhsiRwQmg7tf820goh0NNJhDlXh75YHTOOKliAqB27jaHd8ug5jbsMU1lSacHgBM/2lC8byjoj13T5y8kUMVw4BPN1SzRzaSnRD4ZE0/mdbn3zdALbLlyY8M4HjFQedONFMMplrVAZkL526tHPQgucrmG4zx1WNmylG/P+NV5vL3QducPAbZEZ84M419TGZS+Vz2MrKfLf8iQfiek0GtZ9rsWe4UHUqIVJb3dqp5/4hPdwO89fmQlCvieG+R6RfVjLX7vJbFSwIdQtjt6SSA8VzrEjjKxRCml5240yMzStcbGtWLSTd9eAQv0ls9NPsPc5DC7cQ5upIobDIu2bhi3/Mocmx/25UB/kVrFKLxpxPWYsyX4S5vbOfHp23bt4XWa44b4dF6WqtY7nDt+UUfeHws3kLKL1Z4a8I1qGdp+fXOppEX0TPh8p+/m41rPcAKyjtRxMcmBBgsyjXh+YVWEeBFwucHB8wc1OMuzxfSCKGS4TsQGCeQyyqe6R4ipa9lgc53kIWsysAUpSmYAGP5YGrJsq2w1fqCaMDqUgu8ufTevZrh+FyWg4uH1BIGt1RUT99blsubgzmgab1YCVejE88LqeRcNtIIfU7IElRP8AbT+iDFP4QVX8VSvbfcax1yujZZmOPIQkDB1zgtUCO1HFR6bGZERkpaZ7E4qrNQwK5zkWeU+qqAPRb7lwOa7FopRnkxayWWjPKC7qLEnNAxscU7fOcnVzQxLU8i7VLceeElDFrv/KxjBQu6iiffuLcerZ0xgJgnt8r6Yo37hAdEoaKQtIzRIFcwnQvIlMPGayPTjM+Vw7s9cNS00IsmkAVphm2FqeQjnRN9+AF3HTZEwWhMb5x7V0CHDYioDK7e7uOe+g8un52bKFRpzFQk9hOi0ZNo1BZ5Q/7yZT6qnR3by7NCSCI941QaCU34vljUGRZ/qlu/U9gSbRXEav1OLTWFvQvEY1V9FQKc6+Qxi1Mi3sCufw1TMpErezkBAaNPIvXMSPo3turOL/4AYAA4YAveCp0UQm34YnTCWKkGDQL6onAabVGM6QpcVwLfccCrwauRESXpaVoU67+pjaMrul+ovle37njErhvPXmLMFQMuUxtkLByl5ZBNKQFACi92pwgZpNnvlxdEE2+Q4lqZf6fnCsjlLZblAKOtKuZKsSgwFKVa86jnfNJfwGFN+Nt5YVXagHhl4zdoYrVxEK3Jv9X1BJyr5DQSiMZAot/LJBpqifVSR+tGBwwuJYvgnn8cCUSKAaerjPYFAbJw0cpGRldpp9uQGwKxGabvXPRVKDvfCtZh24CUts36GbQYkavhYn/iZyOeGvS9iyYESgX/0WtuhY2NYjRvahi3ltPwI2qw8N4R/Mlv7+21EiKJRvxTuV5Qh8JHm4HtEC98KebPL6IfUHQq/nQ+bTrx6X6B71/97BWtEh+ug/SX3uWvumDYakK/6Neut3j5i/QWZDdf+rtfRzz5px/YeHReBsWucvYS3rMD03D67CixQH66RzJUoaY+BdBWVXsCMQxT8yfz9GkS3FUcLTyROJ9/xFzcC4o0V1fzPc+9Ecv7cTjKn5bJUi9N/YdmSDm1Lmb52jVQ5PO2OhwKzeiMvavEMKSMlnPys6oqcyNZKudKiue4D/3nFVXoVLLL5muR2LK0VLwNL4JBx5K5omATnRWHjmq25SLBiDeScoYOu7uea5LQ7fmXvlgXWHm6cRsFpiyLKq8okJzgXqIUtCuF3P8k4WHdBzWDT7H4XqRVPChcGhbV7CMXzTW4zKI4WFDn++LgmsJZ0N4k3erjgjh94uTlCKA1HtPQlpSyvrXCwk+YCNJRhgbm3Zb3b1zZXiz1C6vIt2TCuQ+FeNoFFTf1VE0VjIwMVCwhvVTjaTLN3763gJIRPxymJjPy5YsoH8VCOEXWNj2H42AkQ9BxSiEwnybowpZ/xWOGnH0z2infbQaJq8MQ2UNK52MyYl9yrwdHHYN5tGiqAY+pTIG40XzoHFOmvEAYqAMPrkpqA/Xs3cfPfJzCmY2S4bjus7TmbEIdrYKAbUp12/T9WHYQX7RW3dPHsdjWjX0gwLOqt6+iG3Hm8NgS9chfOPhrtVfHtty3tDS62j20ycAH6p+yEd/8tPVM0ILmjh1o5rFxaMIWyxx1tEeEEjY8rhN5HKlw43FxPNXd/OdwbZIroJFTKeRrhgFrYgs4PEIAry990QgpmeLyOQaf6tbiYnllxh006xSthMy83T6QOKyQfX/xJ1N2lInzqjE028C3gVYjLVqidREHReRHUVCXWIoUBq3vLdirWzYbSXZFpeddH52oFBe/m6fFBjL4+Bn3fRu9AUGWRM14nxLXYbBR3T71cQW3UCccOSIBsFHKBvA58PzWKuyTM/dv6n9ZzjbO2WPVTaEDwVmNGr0u8IOOkCyyrze0CyabkL6qmBYAKazeqUSEzjGGhBYioK70kByJm7JtEQrHIqxCE274cgLmfWiRJU4b5llj0mKLJKk54PWg7sc7rV86mzET2hatFs6KHg4VyZSLJsTQRoIkoePHidIwTF0X1BTUFtXkO1vd6BmT4clyAPTjC4BjkoR41CYoCPAX+GSBiOd8MLijWxy/z9uWhNFL0wCb5ORAJukefNAjngj3yFd6kkdPqUEiXFc3uc0lXZdEjKRxBQUVDRShaYRLDsp13DCxVXoCdLxvlRbEnDRJkXTOJYyUafCb4CBIxtqeq4vSpEFFshyjWdp9W7aljJxAun2Qt0usW3oPEZMID6IwSGFUYW5mqfSC+2Wpo6NjdOJSXJRaPePWq+tU0pS1azRxz3zrFGIMlFTt9PuBskKYpM0tz9tlQrImGxn3pWdnEDD2AAdLwyMlK4QWW61mgVlEWSXoO4QbNPifVVZPE5wJ/6qVmWT6IAxqNrdp8hObhS1u6HA6snRRZjAJ4eDkSqHdlLAKPXa37KKgXvfvy/ubWQXfez73/Fts++JlJ8dYuIIJa6FUUNzhTa8M8ThjBaMgK3t/UsVyp8aorElE2nPdDXtXhsNkVUQy386IVpNn13JEPbDg5d35OWpbRkQVT1phF/8AT1V6cB61mqNs926g9zYSQy6rdI4QchE0WnQ2W7JePeRg5lRfTx85yAFZB+vtkYdce4GSeh+jC0QecIj4oMVQZLupB9eb8KycC87eldRrGWpQ+q0GXkUlzuQbLBunVdazItWzV2ZmNDiRajji0rCrJzuo4FYzN2y4NBk8HTag6r1X22KIzlkMj2RVfE+1weAoAPmmAEIga0Om3AUOcre3W0u2fU/FbuvsVdfD2dMu3MD/Ow8bKXVtLTXfQ7wIkkQZNLpqvKRmpZaTC+nmgt9MxjGm0Y00Zo+snP8zu1zVWT8W992XDADil5/Ll8Fzf19mb9hq96ZQ9SeOYvWycsRiVcgRlM3Obz6XVFoM57phGVcbRFBQs4xOladnrG4Ca3v4Bf9KsokeBVRor8P6ikqd9gQRNsH2Cf5KL0NPA2/WInI63C3jRz7wNJCVr4oJRySVZl7HlT6ih0YH3b6qz7U/+PdcPPLTumBPfZ+BcNJBm98dNkgMTrOR0WTx2Q2lY9+eQAG2k1Zl7FSQQP052zYNhgUvva7lCt2QDBPC3+wTCYhwUb/fwdBR52qz+RApO62vWL6JddLABWEFMNPMBNgA34cAiQpk+VDEW8f0YDsyLFXLUqINuew6EQ5Q2ue9CeRa8PmjOG8SyThg4FeWMJILsSHui81HEHJBx1JWg8C+jnKoAEzTawJgFJFtpWjYQ2AdFr0Qg88N5kFkiXMIE8YeR9jNKFspIC1njSyyVCivCjSY1YiLTlVOZZKh0Srszies5c+JKRcacOm5Bsh/ZaMHSqpC3rtA5QxcojQqUwQGSpgoO4PMB15c9YVB1U9VFXty8FC6t0n4IMJ9oCjNkXR/3TiAy/bPl6kOZ0qZ9T/3vMJ4mmQmp95U6IiBEOqmFb4YkZKNZKJlpvYQ4ub5MXcQ62aYr+OFxH5EqijU0DvL6dC9SCj3qEFTCJtzpb4VsZhv3OhUtH9cCPBONpiqg0VR19BeplX4Ajwp4vd6+nyZ1W7A0icUpO+mJbVSlU6PcVMas2VuoP/wcXMNkNpl2mZOtJXBz8gaOEcVaWyQaB5nr45u133prgZYM1KmRijb1z9P1PXzU/ICPTnCtyk+NgI1b0knEIUkBTcesP8e65fDluARzlx2IUgWqqQfDlsJsp2fKMKdIN4/Lu7Lc0JCe5PonWggqnBRNHOD8+wi7w1v66JmYbOBzGI8gTZf0a9jBds1TlqihL9Te53IfM/rxMZ2exS+dY2A8ncU/cx2LV/5PlX8WqU1Py0VJE95XPk372piW2MOJaZMkK36R4nIL0B0aobPS5F3sYnjK20GD6kc9kc/GdwlXx/9kIH9yfxlP2+933qZyP9C2rtcWKl3eqe4P/MLX1nGuWdSR9Mwh2cyMQY4KvYv58VjVjFLa4bu78+P0Bs2OVh6oDag8lsCzWD88eEZ7oZsVfkQslOO1nmfKFBnx02gWI0WUqwOp9I0nYlZkWCalYJZh89YUx1RM9DNoWHOi0UrpA6vU4CVThPUFv39oXr5FowK6sxJ8GXUqyGSWE0Wk/6qjpxDhmbjPDfQLA2K1719JjuWddmzCgA8OYYq+bVYq0CSxhVGGd2F0IsC94rpt2ILMcsnXzW7srGV0+IzluIfRoHIE3eQizmgrrkuci5ILv4kQqTpUIseB9QhGCvqX2KwqobshhIAK+RhebHKH2yNk8T3pQY86A/M0LJRy5oTIpoGtD+9SyESdq3s7BVxJWIppLs9+hGO8ns+wvlZUphuGmP7mPOazAvECXear1Q5UO5kelTtWIqm/eSuom6PoyvYAp5fRzDFYXwlqZGYLFFxfHpY+id3e4yvBLklooAlnnMVYYeetprNdJCzRD5qHnjH4YYaZPYiMpYN3dve3N4BH/jX37HFgO3My9DoywH/Cd98FUhleP1oVKPNQjalVkyxZA2N0o4X3FtJBVfeHcbo+/SZgbiPW/uVizu5qg4Tayvt8Rqy8bsqQFGwOSkIRnfYizvFwxYZ4a97vqutxLMKvB0ppIuCZKcEF26tq1s/MCRbRaMLbPx0E/T16wAZc6nGDpNFbrx1X343ohhnn6rhcobgoRgC4h/DogcOZv1YJCijEsdqpn9IL4m4Q1LKNcCVGys5eMQGS9wZ7Q7Z/ssW174p8+LpjWzWCWM1ZkB2c2JtbQpCm7l6Ewi42y0KG9UALFIWQ3HeE/DbUzHyr40y+buxtVCik9p8PJLZMd5HknFddW8pAsr8fvXAcsRgsbaFh/q0xSS4XKSIE5OP+hSTMWkgIASKUeLX+BxISXTNUUC3tmZ/iXRqaLBflXtJWeCXwmQ8V8aeUtOE/ZNyvlHccDsoFYN2V7/b13u5+ppJJ/863lvpiuI47LpUWgItkQZqwKUjB2DAVrraKhDqWjJIJF7f5usdBewTLvzlKkU4z6ZBGkUG47nKHjNa/DhUx8bCBwPcE1RNw3w52bCQYDpdRHsnN/L0tMcO/GFSD4WsV0MXqmu2pnSqnNZWks3D0MirjAaXJtTyGlj2ofNlCJexmSLTbwsg1BwJPSqlIKVC3aqm+a+wj2yeP0Kych0uS4a4PMYcXR750eHM1Lr24i0DsC/BxFLRsulFYNoENeXj8lYslfLLETKYzi/1uwU9a5k3WlM8wl88Iq3yCYVkdOuXLU71ModFv3uZHDVcg3FOloTzn/wlt1XI5ySgFwSCQVHtEF6kmb4HYVNoyIDtHKXZGFpVtDnjUbx5p5sRm61YfUmqSH56jLa/VK4OXcgx48JUIu0YAMaGGG343wDDMIYSK3P4eaz3VSCPDlkeAqg3eL3PNh4tYVSx3/h2+6spbvy6+tUYXPx9F99moM0PdntTa7Ofo4XTfsQ37zIblAHjjTXf1TMpBtbV+exJ93f/MBZUOHcLZpTZYkJNKLixMh8GK2r2ajmuPzmjLJEfPPNWiY+r/IXS6NO3Snzb9j3qaffgnlslvhlzr4LYzd5uf2HKWEr3HcuRyRMmiBN/qOunpiXzwAmq7N/Fv/6TqMSR6Rr+DYxOfvP0/eH3WT8t20frSr4A2XfWHK+p7LrITkp9N5blE/Vca5BvKrP9CYGJMIDiws8AhZ+voSopjEXwIuC5yKSfHr7cM8qV2ZiaGaL8qqAYumx9rwW220o59XS274v9WZxqER142Ppe67tIOYdCCP3nemEJV8OdqdofpS7DHNPn3HLiUOzjb672d5SnadixUh4O85g8b7iekx9CKWyFaQW4WosR2vJiKtz2y0mtxjHT7dXBuFn5nO1E08BSvFhvWl62tdIFIo6wE5FMdsYf4a5pcC1gIBNMZIO123QIS/ecnsIgxWOxYd/1577ISvgK/FnkHlRKghy8Ka/c4tnchv1TfTbUH7ILZ8t4/zofKHaQbfPLw96y8YxGkm/7EdaqO8HT67p2YxzxmK2uw5gvWG6lfSet0A/h2cfUmV93hdc1UerKYx0FrC8ffCgtdwwsIQruPZES7HCDwrq5a7YxTFwXF57FynsgIFoPbEw0rFsp2mYp5ReUgbd3knwCd4j5WN+0An1N5RE607VEuyhyr3GlUq2txCP7J7z54kjVklAqD0L+NuqspNbLjSYM3GrF/2sqJqoGU6bK1iv2c8HhqjlKMRK8Yc63j4Cjyrpim5RFRkgnAni08CFfzUqWyihULOFpXA4K4SdugOcOrw8tyuIQTc8UwAspIt0knRpuRNfvIZwt8vbcLtl62RS2hYSTCwwHrmavHIWT1Bp7S2QCvEkXOiaonbc4/I0BkVTldFwc2xgvP6MM76TnI4J6eaE4CoPsMjmklt6nKUkayVKp6c5MZrI1D4rIbRiMH7IzKwhrzawZrP6MQ2r04+rhQm1UYQ3ng9/BtGI0Jz/5ktejM7Hlp37gzZaKi2Aq3+CS3wcpejOU0nWJpsHlqHjdcyUJyIh0kxG1I8SDNBcHKAfgRFxxOh7Po7oEjFmDKfOc92nAJRWlf8irRPAnvz73uk8vo67rJyJUnnZRh3zYb17ITexJOCnZ4VWJEDw7RFeE70j02V04YTyd/u1oFCeRnx7yXjo3D4Tfuf/eE7Qb9s/9tC0vHeXPWK+DgEQy0Yza57PfoQBuaRtm4XXqhU1H7f4MB4ogEeeRGDwSkEu6/pKx9D5cWrIULqhNh1oy07ddxyp92y7bAQWjFcWzEKTbYdH76GjfvZsetEFwx1Pf0/RdDvyJqHcX4PkUwfwUp3mdRCm6HmpJh5suP28F8RYttF2MT99vOAy07z5+Y/t5pti4yHvi8bcUo5cYMC80lQZ9s9ljYFwULeR22c2oy7lgbQgqQsQ2w0E2VAM0c0dxuUaealUAmyRF/a1gxpAU6rslzGM5Pkl/1ovExyPoR9aqfPYfmvy8dTPY0n0/iX/WRbdM7Qk/RxOppE3NqrPagbehX8gyoebksVwmURUQF92l7XPw/gDi7+7EMojYkOD5ewgTDJVPUPWyWjUz6DSLmkg6TeJt8tA8WEOK/FL4NCCI5gLjuyC9D2GSofIXGeMDanTVoCKAsscY1F1cM+R0driYExc7aPcwfjnjw0rClmpzcX+m9hbDSIUi3ervgea9WbMYND8RUwOFAA2up89pEvIrhzEoDOM2yxSK6TpMYplw+J5yxVa8Xxs3J8VIEwiYUbeW06gk1sE2Y+2K5Y/mYHwoweC880BjIaylnZwzr/rpaQ/L+jW1sMWSwqeApxiAyIVNfYyG1Zs/HQfpRF52sr2ZVo265PFYONuIfv3hv0ZhMHQZIdEkb0G69XW26QlRW+l71ci4xZ0p93OyVLw+MzcrEPtp8xP+RBj4FOGsHD0S4o/9232Dwv1q+HIwQ9Pwiej0ws9z0l3WPEgDqts59JN2UFzqz1UCo7vTuAlQkRByzQp4PW9R9w971KqW+unaW0gOMEVHu8BK+NlyEvk0ytjuMz58leW+dCJoQFy/v14vPFG4o33iuZez/tYFRj71p59HPmjQbLPDhqRsbhAcf7Rv3Fa6LhaAFxOA4GO76EvhLPRwhCk2hUJwB4uP6q6WswCpF544HbtDVDYUsU5hBGgU5nRnzIWu3bXw/Fj2Yag+eN80jOFzIlgVMILIjkDXzAzHWYEHdyDKndh+DOtETu8VuTZtKjlPXb2g+RW72KcCtT+NxlmDfxo4YBuGPHmz0srkBekNW2aaYcu15HMM7QqMtXWjtgPk4np0B6MWu6gUzuSQkQEzlh4qr/0KYo+wmAe8EDf83lUfiLlVtk++v/Z65+wsJndNkG4LvO356TaCv0qDjCaB5A26c77+vvNfKUojWtiakeU97eCKqpY86+GvayHZb/fArbZTnNBg4TZxGFkj9tMvPO4XEgC9KM7W6TB0JNYYB7keHDeyjb706ULZV6Vs3utEi4I82MMeror608/nlnNjr/yxeoWVQXwJ/FGPGLBQJv7Uuskfu/AG7Q7/qsx10EElV60FtN8DIutZ9nAgC/4jzKgKyr+DsBsT5Ig2GxiNEaX4npczBn4hRlJfwtycA+Hy1VETAcpAWGzaQsMz/gzhjMGn42RWDxHwQT9sGKfCMf3ZZw8csfRIIOTbMfBXjFJLmBQZCAqNvFcv1UySpkip8pe/Ey2+EZQHKsn/d9whTJZ3qGxLSoJ7T2/4lw958mZ1353jE9kgn2IUt5p7N7LBgGXJIXujSgfCWyljCISlpCGbpbQLNQ/1KOsWqkCOty/1hazJfIYlgkBXtAO1ATUL145ky/evwiVCMfjjVzv9PNSP7TRvj9pOf27s8dxOnzX2CO04hUMe7OmwIuTf6HyVRZ9qjbrRas9N9Y0PqA9PXK2E323GPDyGzsEeQZNuJI6fSA/LjwuF/LD8P1rncnWPXh2O9OVCuEEV3eE9HOj6PDCHDl564X3i1wuFQJbGDih7zOrHlVosX1W5vfkrZAS1SP4MP8YTrmFW/MhEmiseH7xATU6OYRVrKpbO1V2HKL4eQIRRbYt5SHUI7hoCjhC/CR68JpjkGGqgGnTsuUoc+xUH0l6MejQD5WkuT+fR6EKmtaZm08y0ax42laqm39B1myqD+slUdo65nLuKfGlqkZe7Ti7le/30hYFg8iRTXS58T66BP8v3v8P004luEtpsdFoUlTJboZ9ycl9n1xj/NuTjdX6Nwq5ZJnhpKAsRxQM51bc7nADUs9mOFdx0+Vcq+FQfi/ixBcBW/uVtcDWe0BOCplgXoS2fBOMvHI+o+Q9lQ6b90/QaH2eiMSgr0fTEQcd3KgcGUc9eeQkEm/2Dqyw4Sv9/V2o7hCTY1OVHB/MXjYcQGwuZAbYSvrYR3Mjfb3sUTbvFMHNXMJTQMSCjHBU1J74tPV2tididNg1AskmYuEgYsotDNIzdNqxVM2DNmz5NM8zoGQuXqPDrgMKHw3IaiqCRdasQNMwqWd19IJ67N92O8feF6YgsGC3vX7obPApnuDdw6XS5yVtrr0KsEHciSyCYlI/ckehkfLQkVl5FE+fU+SUdoIZ0qSP+pH2fKpvBzRixT84mEO4IJncuX3zddsGmwnHuJpf6Y7r22hd3+z3V5HnRiz1Uk2qbg9IF6xjo2kqvgTxKxmakIEfmZjdBviyshmd1l625/4mb6sxMalR5RSplXBjEqkccMou2HNb0vd2Cae9JRLC3Ky4jNw5tN2kQJm1MpmvvBueyZdSaJFnKooqQf1EcV2F3ocesI82Wiyq/NBaLUnTEqj0RVcXAycqmVGMMDRKx2wAh5grG/mgPF39YLLyj6idk9bF/z1Ij+Y5BaDr14bs1UyOmmy1uNGRGTji5I3RshDw50/Vq+cvDgm7/z4PnKcCli4CnerY0QH9BTbVb7BUNtcwfYGhJ+HqD3vUzb0Tlnj6FBoicpPa2vZyrewYYhf4pk/eUXcbDKY+J0EvRK/VL36iBJGiUwXuZ17uqGj1dS3fjETF3N554zIZ/GtnqUTI/63Ebc+QRxmdIZ0KLWjXVoxvOzTPszORNka8FV70i3NVMgdz5Hu1JMKxPJu29RjYW76aa5q5BJ6h6pndz17aZWnJWQLCD6WHBAY45WUzyXfApJ9+nlrZZEyWZ9ammuVLPS166FhkjwYY5N10s7yYDXoJcy1r6SUrj+i/jAG0irHaM0i+yRUzqgjLjwdqIaLGamylb1J//6tXnx6TMwu+zqMZPbOAKwY/dbtKnFK6BFVGug60KLiqa7UWjvUqVKSkjG6dGUSt5U3vfGTtkdW23leIc1OKHXdcxfNxGMjmjfqUqojLxe4EM8dDCFY9R74GSF82vcTVdjb8pUnKlw/zGlfCedbCazxygyqbgnVRKyRIg3Qx55eJJPA0OevZXmKqmhy+1Cl+bfbNcRdXFCzU4FpLlZeP1zKEbUNrD1HqJh6KfCkzy6BL7uHJWYeLvoz6L2fi2sHqeqwbAq9+FdSTrwMa3f9mwOqZjRKOBoKuGWmiw7b9zUAe66pdqqANCA0lNj3WKb2uCYoaVtxSGcbyqkmKcaiOJMvk8vYg9I6VISD1NvXyUbR+AyoA/wsWEmmSx+3Ffl8RQ2qXjma6FaWrseEbiEzVyYPqHhz8GwpxAUPFCy/hRYJdlKqZNlE3IiidSUrb+EqjG1r0eX7RY86IYDF+K00qIbd1pdLfIrNPLlBgrVUJU/Bn8J5SF+kRnkhAwTvwPuIMRG2WyWdl66Sqg4+NZ6sERkB2ijq3gY/XevQ4kgeVyk/3u/FtLdu4grmxdWgzaPAJofi4Fr0y8u4j3UNdTv17qm8tSIxY+/eCSHEeLyJeVslikU00yjK3X5dvdNz30Qn5IolGoUlU0NCmFTsAUxmNLNSdBYv4rAWrP7I9aPnIn2iDXWYe8NYS1wXgfbmQXJoByIbJdlFrOlAT5oxyMZK9IlRFzBGEbN4nsrYSyKKGbPkuYk5jx3yZ2QG/6IvvRlVl7vbsAScyg5GVJfaMlKpIXMj2TjyLnZfdEKaJLY1fusYasonZIIbyZf7pb7A8eBvkqQUAEWyzL+Y+rLkaZzyXo8JQw9Hv1IHRCogEzjkrdvK2A09h66G0hzKL/KuNOM+ZgbFmwCTkb0WmKvKkqFmgzADLxeNAonJ1144wteurnYF7C2hHXlAXtzn9LU/VdgvCEs/CrZnUDqAhEO4boB1Ce42xRbJaYg6NbqB7zQ1lao+caDpDCB/gLMMc1MyIbh0ECuJ2vnp0IRIQl6bs84E4WllyAKC5goQ/nxj61CYbva6ybZK282jcwQAm73UEDPf7R9Ds/YDHpB7qmg6YPmGW86wBrEKTiCfZCXAjB+3L0EeWLGXNQg9++xreMw0EAJgzEOJa1Bb6Ko5M6ZLSnl5hMKeOpkUsrfWE8xG4KbuOjaTbCFM2RojGeJofTpZWdtk/lEd4CTprny0XLQqT+426mRRFCFgjwbUhECBmmnK0kqHrgxhTo+3q3tcDEZnRFLAlRIQ/OQQV9sbEeVKt+CIs6ImdrAO3KOnAU5T6npTOMWyGZ47Vd+wlKbSUe/jlONaUvMlAppp//O0HvdYM8g1VFzMjkh0GtEEShj/yPmHzcbfgUfFKfaGou20fcGaqCV4Co7JnvAoFzFiPHLACAxEXbcUzxuC1an2+E+xrsRK4OE4P0eGcfp+FzuA5iaEHLVGCbvBQsIyXQaj03199Ln8MlJB+s0cyRMJUSELl7rd9lCBHjXQAR7y5fChMV5HpGn8qpp9ryTfkhkK/sDUf3eAfCtYfFxXj+I055QdjxjjwYTElHnSTPmwi4YmsDsmbDBHUE0LAqLaouOcUbovVnG0K8fFRAO8cSmajPAI6GFmFD16E3D7Bqh06SGum5cECQLH2ZN+Ae0yHbMSnilC9FwGaR3czjU5XxvHGN7sHmVpR1DCdxoYAbRZYlkvN3T20YVx/tCm4NmmlNSiUtLR46Tub04VNprnj3FVLgJ17Tmg1B0HpapdeUfK8X3wsTzrmddejNUNYDnPFSX3mZcD+2Edv3fyTC1kyg0PSo/jPXMfONZoPA1Yse6WK5dMmIBCTzicXRw+sLQsV+GxCXt/8qHTbM24Ad8g1n3tpdm1dN/e09jQxc3bLzxHAUWYlW+Z7XSWhVbsLgcSIHQxOI6sNUmGMpDdnYTTa7d2i9TAOekx0WoYZ4QQxS0pzuh2jhDjK0lBHQ+pFqmVbCtxeqkfmeUw/Bw07XFN9+QBiNYW+xY1TlwIi3NhGJZ9nCNPzVAGPrEZAxmHAHqNOIha/scX11M6J/6+acXcMegJxfICpQa+9cdpiRe4ped+6jtopo6JyEg9fgqcjKmVxLJVqUkkeK7+Zl3UZTrkzCs6e6tB6WZGyyT+jfEu9HSYeZRcGFd4G+nLZbS84X1GcDXTlKNhWmHq0iX395a6M2PjZLs3BnHkVfbDPj4hCzmeV+9C03BaKl5AwG0WNcQ9FQh5sV1r0nq55WOE5M99gV/m58roKHWRxexRoi+3NloB5oJj84eYryeC3SDzII/PvNstD1FReil+wubIS8/nGsgOnBZLSKEJKYLdy2WswicztxvdbxSORqp7LF9Mrq+S59WpSNNkU2B7hpcXRr6qCBIJZkbRysVDmpkKdn5yo0Pp3o2LNwHgQbABxkHVQuKC0FhgH7gifrYKdBzFLlSK7K41zB81yv+vU0jCjX0bgVMqoIP2KUyZu/hlioI5Zrzb3vaj2kt6NJrfdypRcfdDELQo6a5cTZgKtTpgIeXY58NNoQSk1lcbZfsjE3pk+s7kvNboOW8OqK5fve6NYCx7/n1HrwawEawqgHF+epZPBP6DIWbRkUhSFMiYFu9t4q3vmJDG8glIzwdUHsZ0BzCcst4+jY9ZCwGmd7TNpZEc+GCewTildA9KT4IGAp97b50OMoYBl9/Qha1VJ3j30G2CJ/9lH1adr591+i7xnqcVidAkzLEE+Jd/vLtSs4P2sdcamERTZyPN1vY45QipnA+YQ+Zx6/x/AC2hDH7MDh9GYatphX/Pvslkj+m1kTM7JRPwH+Y9CDV4DRch2VnxcaZ6tuvOXioSAPplWTLtu/4SdtxwTZ78lSEilxFXcKhIn8PY5Jr6qWZZJvb4wpx/2eRlyGL+WCDe4Sqe2ixFyyNK2jVPPwdWJAQWrnZXm3XYrvrPvp+RAfDi9vOo94r6WzhzkrKfSr55nYAsbmtqhl0olaZTx97JlOslvBW5HA3g4Kx0zgg2c6utkX1yVotT5uFkJ/HSeqOYEcdtM+HdFMO0U0732V0GMNHGZNPYlGvc2bj41xS9gARr2bNZfSqt2y47Rsw9V0LiqV3CqgkHXotTeX/T91gd+Urc6GuFTf76PJ/+U/GiaPUsLEi9k8olwvkcu8MTK2CjWzqkwVptDJtnmB6JEH4OYcY22rHf6KbX5DZivcxefn03EI7L3D1ZHVK4ZPqKrXlRr8G+XYjv2zurrVoKrLt0zAG59Ddz0rWP56lzT7UME8HNGeMo55/RQ9quJ2yxEvEz/d9fPglR8qXwQRY3EE2KfKlVmpVddShMn9l2XzCB0ItFPfu7okL2ECVojt0oCPoe4gWGgfpaiNEOSH1i5z9cm4W0e+HDV7cnxPPWjrhyDL5ZcqUALhHy+w2LH4Y6/TCHK+3vSgQGZVNDLOC7WhIJWCVgQut6XOKXLswT68cZJH8KJk1HJ4eLnDozrEXHywBpB3faqwOAaWPFFL3JS3/mrYhyKxdr5FXoAg/Sz/muvdrmVCqaemNd0miy21uN+Vy0NDIF4i64QjvF5VygpzPNPT5oXbRffT1zyIdtzIvK09/wnPMwXjGaNlqH1v6YSL3BfG3oNNrEZJcg0HCK5Na6C5wT/c5OX2YJ7qcqC4Q0XRv/i3Oih7ifUVA2uXVhJYrTgspJuQQJO6GO2lWluRa4CHdMTqkGNzKcuAbzu3bv7UN0sgaqprAMvy/Y+AoNdiLcS/2EA5+BQnA6UajJ6MHkG3JJLfqWsGQlCWdkA/g7rMGIdFeUOynSs+1/9yrbd5ykIw2Uc8N5sl1Uutx+ZJAJwLAXGJQ1+gs+frg8O7RKLGtqButTFkC2KNeb7kaynkem9lEQTacKSxAKWbmVgBo9on96RWP47K9JD6zWRCadzqqejozqCqGBT8atLbkfqa1k+fRrs9mJve7vHOAAPWuqJyxqMH2arjLeHfszDc+wmYVb6FW1jc7C8fWhVlrg7+PaD5XF7UNbcw/ynSrE9X/VQTj5RsJrg/zGjqAs4i/7Af3BWhFHRWU4xTZ62bFuOm99owzhFD8CZJW00rt3ZCg81x0WtoslwO5uBtDMaSYTXr+uyRhwpKZKZbIdoWPSo8O9sh6Dq/FxCHQXZ+biUYngdddSUgyBov4l2Yv3GH0e+7VsAVoI3CEQSwhPX7zZWLKUqCFVBwf67cvHTlwcgoAPCsq+yBgQPNwOx6B3qKO6N+mDTT9qbkPJDRoxA8HbhIQROC90b4dJ4sRzbVRKApv1BUb5rEsCiBKWR1AFTRhFWM9g5weftm8oJT2Qwc9E1BqXHsfypIHCLcXS8OTcVzA3zRqRwLqJNEn5TLGPNs6J9Ai/xpkTcMfGAvuzou2VQd3VZEPrqN/rnV8NsKaBi7LG1MJVSXoqe5no4sOlKEZeYU5DIrMfQIr0yxakWr8CUlcpF9RV3Zn02No0ICe0wptfqYEk4p049Sj4ijbjPeuTBvNKrDChqF1cLY3hz5sI1XDsdos/N3V39uvFDfjVUS7Qfnr5xCbjRur4+vTFl/X9kN/ktCXFwbH5yvzlp6t8fCIyTF+24T4Ptyd2e1TV8pFRkdSoTw71WBMtp6WZDpgiGxH7O4DEjA0ZeOfXxvERRjAbIgWcMR6OGfk/OiEReXI8kK/vf+5Wn/XM1IBR/5XfLzjTTbr7rgF5P2E7RLmIYUAxr03xRypviTRU/9srhwzTfh5ah9BE32jEF4X3+HaEDs7WGQIr6JZBccm/YgCE2krk8SQ6lvmHUMoHEsIrNLBPRCWm22mhzGu0KAFWtSXdDZqCiXLckwuQCNfYAVL8RXBCFDg/gq+wxhzu1CRYk5z3pNkDtQUYC0ZtCwwuf9pZ9p1+VoBYyRuDOTZjnVzS1jEsUVijOwofzSp5a1MuMkGJh9MurNPLnhvOMOKaNUJD3Sg7jNiaMh9tBTIkAdU87Rouqrp0RXB5SEIxA7o1YIKL2NSIcGeefMEXuBkCC6D66aLSrC4BzwCh+jXN78UpRqD94DjMAQEEkqnPWnH5B6jetDZUoNlrNfz9Mrd8OiZ88IZbipp7e8G9SSZcoUqpaT7fFkp0qWBJMU2eW2OLV0GfHEJPaC0aqWE77DFr1nc8F6GW+zMrxvCNEyfGtinY3AfatCabB3RJF56do1z+vicWkTYv0czzomvTo61i+9QkXXg5NkZ5N8a7Fb7jYPAxWY7NAN2e7Doo1GluxEnYDZEFzBU3UVBM1yCbVWB4qwuSvGYXKPpAyGCJAyILGN9vEDEqyFIMNobw++dQTjekFp0ym8M07bfDULgjLgFgEuhZ9XjZxiAnvXhyinLvXzrq0LKrdI3QQjzkgLlW0V2KXNGh3ctpUv0KWI9BFRgGiArKJ8yY4WqAUwbXXnvA6A98FsR7lorH6M2b+LkaPPVox3M/qv7KcGLTv+W8B9yoT9L5c6OjTAiysV3R1PDAqdYqx+kolgfaug+24AYszrZGUpKio2zHr1kHIVeeWYyWaBJ/OFgmduHz2oe0aynpcvEnFZLteIWXNvu2buvUCGqqFae6I+GiClK0EJ5+CnLapKX5hQLfj1imaiczGS3Y1iqjuK6v2ng7HYhYZPUSZoZri9xCONOSELhTqSBe6XoZTwoqu6WeSkL2B++p+pWbMaXM0xkro9MPscTRQobXCsX7Yt5wQfi6FPFDPHn2oXZDbrcfHxim44Fpn2S5JcLLlImqZYjNxSWnN4PR2CbGHrtFHyBndJr4xuzf3n4jn1UkajEie5d9C4wc6TitWA1E2sX5r6bApw4K8qVIef3gKLFgMLnhR1ZaPlGuxaqlFe/bpoccgXSRHjXBZ5vT8K53ib6ipiJFdZLRYuQHeaeNfqJukly8OYggqbo2smX+fBL8avCWRoRceElPOgLP+2gOaXIBqRzkSiPGT5bXCWfP2CGbiKwohb89r5/pFQKQZZ758wJrFr/9tXgkngBkEhjDreEgYCIpoYPZ6RK2jsVUH5UvSN6eaFgDtoVsKEkIeUUa8IeKh821QYD+pHgCAFcSuVIuw7TcURwVp5qNOHXLp7DkrzWrss4IDfF/wP7Jxv65YXpI07RliOtvPpHJkia+lLD0TV9x//03o3QMSGYQVWqIgO6sZnR2Q8/ljBp7/9tWASu0XB9bICj1TO8YHbW6kQLyap57rM9mnAR/yyttAKSQHOrObMd53zQ8lyscyiUjQw2qSEiKquKFUeR4/V+3BYOkLvrSWOX41UwL89VX0vIeJXN3ouuwu6P+PfVA0lvIXgOyWR1HxxsLJl6pHf8+IhHcJfSygzCZWKjG1WYPQRhAF45zkoSzFv57WRMUhJ2blYZiqjOp4hFIjylynw6AyhsCTFqLEx4kckMqd8uWZZvB2uyjPTxJ3m0HAmHUC1Gk1cIQK7f6Ui/91C+2Wg1JKrNNVkdo3kXnsfoNGltNtr7ow9btguE3zWOYALxETz1X8G1s9zixFr38ACFKBFdFeVzlqF/2bM93fxhuZA7Hfz0bXAvz20kIVbhEValEVbpmVZBmRW1+oV7WhDhAx/RrT9DlP2j3P++I7vn/98zR+U745tQ/7X6nsCNh5suAY/fwJ/sQnOCx8udH/8jzDNZrQ7LL/3/jRhObON5fo0SdZ/YgYBXqeODR4ppUmC73i0dIeBBE/1GgljP5GoKuynfP5agDLm39V5JDvSFe8GmljOMKrsSHGeNE5fe7sYDwCDi8mMsyhphGf2VLxNPnYY8/udRM1Jxf7xQuF6t+uWB47mCU4UFxsSe7vLyZvBW5miQlQbwrqwgPW5Y6K68ovLF7eMOKiwi6Z+/Ri8yeb69SBrkS1NzYhjFus4RZ0hEKYE5EJFkT9JKbsCcj6qXTPBgeg0vpIoW0N08mwg+tjQWfiqC6QnOnCacsG3bHF6qg8STE4LRuCimw4oZA3dqKDkHPZR8C/TJYVrfbCXElikAEXtWnLNoFz4V54Gxeii06mBu2Ka0fzlMD6Kdf/2Wo68FdsP8UX6vzQf9rtb/7DfYfSUf2Z0AiErabSbduNHqN053R7lYus/vDQrCqSn2A3+B0PYOyYZZR2Wf5mknOPcN0LsUrMZhInErHc206gnIQHPD7odP4uYy4x+d3cpmpfY1m0dB7iU/IOdwkmSosMjgDn04Uvg1OeIk7JP6H+rU75wN4wg3hLFd0vQuloPaKyNNNZE8kzN5YTQrX/fXZLriiQb4ocTApxLhKHLL2NB/vLJERKg7k7gQrbzlmNZl7Eawxa7rEyhDRKRS/lU7fAOmjvs6tbs/57Zd+fboBU7Zm1r2dnm+AwDMWp2NE8TOB2skkoq2fA62c5wjx9kzpahR5i1vMlmpWo931NAGXZMAVYg0U2x5Au0DotV2prxbPSUi4oobj8rRmq/i9fIERtzMxxIuZRXYGAcmfelYgjpvXBwKdjPMWXRfw5MF5QadWo71YB7K6/iMN5kDc9JBx5vKMo8/Ws8mq63e1MzLPzPKwxF3UHNFYdZkdi0mx0qleeNIQbPymmEMfnIfotaMJbM06hKpW3miE0dSrTBqWCqgOxk38q1nJ+n8/i44vJQN7y4ikbj5qsvtjOiC0NdP5KW/4lbREeRlRpKG69JHcajDc5NrH1JvJYSPW1JY4YBKCdc7s4Mvb0nC0ADmXuvQSGSGpvWnUKwwZBlzO7ttus+j1k+8KbZNePVt+C+GUpIqTq9R6+C2CUxRFMZ266xcojPLl6b/b0jm/cEKH6pl0cQKyBTYx7FUoEplGicvXIvyoGQip73HhY5jQchGQ7ubm+LHPb2W0hU+Lyn48LceePrj1mrPGjv4Eveh93SsSX/w6ghlu+PR/h4wyvXwHZs5qK3meQYT+PUh0GjnzLcDLGqFsEB07Zw/wqlz9lmUni8Q/xYAqXC4juDCbIt4+r+hfftqsU6qnA/DE5KEFAcsmM9Qf6Y3aGUUJIUFSVe0HddIwa92QXesaHZhR4t0kofhg4dLBII90AHEJfq3vUmxmBax63TlVoRYJpe6hznRdp7XnA6QsSL1w+9b6H7HA9uf/+HA+6KBQpRXx3JFtGGqcfAsGHNtKKiwFjLyOWStKDK/JJr9mq/RmF62hFFH9lZLmUxpdotFNymS3gDac5VGBT4XseUtKWUgBK+AQXMhSCaIVSqimrSb/IymoVZQYBStSILzRPVE4jjzrMhTg51mLJiFK7n1tI4fcrYlTg++cElmeVy/NrOnmRTeUr0eLhEt89ycu8IaLpFeEY05zxI1jtBqpQRz9Zm2WmkVdseAresIKoO4GI/d6jlgyyC6YOjOJsDJYZcE0XHhuwPpEn+j0IUdqlaez4MAyiNDI/OGhPSb4ccKosbwNsBxxgXAvojcZSY+ukl1vJIh7PeTbqc6ZgtpVNY5+q0O82BMPxKOZaijJNNjG9ajLW6k2zpFwTPg/x/NmjqiNzeXKCZRzCJerlA0G8Xtbk6YiWmW83UL9wi+/48RR0Ysfm0aQbqkadL6l0ZcXYJ9fO010llIFNbxdQBN8FeimhlkndeZrKI7oJviU7YXZvWYfSZUwkdd+3LN5WN/vpZvVkbEzj/ZoBuuuwUEyIEaQXTF1ubVUURDr3Z99+VmrA4i+EcSlsWTAQhxpds9xS/xBMXzlOsnp540j55v4pn3f5NZQEL2mNBeieDX53M7eFj9d9Y+7xT79cya22qkP0KtZQCxnD9SFVG6uZZetdGsStZYTuBPteY4hYBAOMu3Bopk6t7bSRyugklx9g43muBKqumW2QnKAXUMSi0uBluIGKX/J64c8kC3HP+sIlKzLgLNCYKa5lWbEhwrxsFPJLidjhwpUZDVVeilmI9Df+k3ww1ZRE9JaqLIsOGbUHAEn+7HPOtL3hANVGLcBXlo3Xz89MfQnVpIaxcJFlty6Iay8aOg/1W4VNQXbOYFACwOPS/H2ui0AsiWeNullM/X7T4dNJJSfljcpD65QJku4H1zfO0OncF5WNMUughMcwRNylQcfJaj3VxFAWwb4PCTzSRYGJsF39Dvlg60xByqh/fvGdoVXGaGHsPsPlJLsII6/7vjazrbnSRfZvwrFQt+HwWIZLI7e82g/Ku/Z/xUjGq7S+PIKHhVJpKvY0sw3a7qsPtL480HULM2tuJkOE5MzRrd1hb1sx2tGiIzp5N50sbk+ud9kT81n+YzYT7VLslJQEu6/Vptq9BcwbBgJjJoIHuvYswxEDpBvE3XBLaLmMEA6X5z8Iss/FIds/tz7Ivw+v/zmNj5C5aaU+Tnk54Da8CZ9fGqa39nIwYRHC+aHxUKf9mIqolHeULJ3ASo/9s8ePPYsHIl5bAtDztB5UNkuVU1F/dQoBIT5f4O8WWb34nqVOnLmStvkow/GUa0biJPgUCMS5Pmo8d2B+ogOd5DcBehlHjlZx6dkitHs94GYp9op3oa6tG9qukQVRpeZEveG74eztPmxJq46nxSEi+2Biqlyv4e8Aeaoqzn0A/ZLOaKci+5ykrlDv77j49X41O6tGDx9BzqdomHniFEJm7lZwZXumUJbPiQ1ETMWrZfdG6fYGMlsItItNjsIFPHgHfn+nS/NKieiBZsRoCPrE2rJgoLtVIgSLFuPfqapC3oj9NdkpcjdhcgZaaVCEiw3au9ZdTgpq8BZsUHU6LIViMoEpeUF5N4L6dy5Vq0mEpNRjMrhnVRY6D+LcuhXXuvmTxTWH4qc+Ts3yy22VSPUnLqYeMnoLKSyFo0FjzdIc85S910bOMYgMb8qgSRamYTKFLTwhXkePL0ntaBpF1LlnPNlgLpON2wGItViCqQBRawN95h2g9bwoplag35Sm40BrxYyKEd+cd/wyRP4skjxt+xNO8T/EulYqwsZ5eIhdGcsKW5PqE8AagfqsyUOw7hH0bWSrRPMoZpIAFGzGKLQ6FEXgf/AYQ5ro7fZsCtH/PuC6cLBETSSxZ6oha4jjqZA4i7ME/Dmo4iKxkTkwLZ0nW5j6uTMszALaC6WnLIPuZhC5QS2N9nkTZhY/H7dQJxSURqkLM+8BqkkNA8awS7I7Fu7GCcuhpoYtJlgOseFyKvRNefeskcfyD6f8767jZbxEJstwqSzVkU99Kq6tfhNNHy/mWiv8AbVO0QgFajHKJL1CtV2Ji+olkOGO8iGS3JOA82N63JSOV00Gcw3Kl9Q+lOf5QNcU15D9HiMJgPEbkx4jwKDGhcDR8FTXeAYH48aANbTV8Xq6pvTv6KcI+63qpYFFsrpNwdOG6z7DcooUQok1utBzDaNgOpCY014s3aQpDsEX9LCuRvZNRRyI8sN8ayxygP4OK3cRj+UYX0Y9lG++AzHHoWC10NIXHdq41wX2SIPTqZ8TjiSZ0AkM1grT5SDfm+egTFopISJzaVqqKYQsLJ1a/WzDQ9d52aU0bW9AA7DfnJrW65pLK6OY8TG+Qv54zBtaYMOGgUuISsEr8nnonbCWR4/AA0mYcVOVsaVxgCyg+IMeK+Mb9N5HYi4B1veQHwsntvdoXV3v7Yv18ZkE5W30WSqZV1kImX+biG0w9YeOGKrsHlzyxyVudS3biRGFV83GemrH2XJGBCN1wBXwNNhulZyz897ACPYNa9xPsTR0ryiOaKhmnLqw+TJVu0WqdS+f8bsQ15m9RnfJrWJ2kOTyb7Z8jGpkVwQelofzi15c0lrHeT/WurlzeTVvczqaddVoCz9EPm5hnzReRypnzP7pwyrYrG/cxbUK7R2jacjt7EYPIPGEyi0t5OExz/xlP3+NvrlZ34X3J+33db+s+vcEEra5c1CncOzQtz0MY/V1QGwMZxfBTXDsqiZ7pp1Icz923dbDpX+lwq3ZcsK576DSN++Msw5EGXHMq1+Fs+bYW3dWOD1t4XxunIAStnrEUwQ+krnj6jAHZHNYGcy1YQn6NZYR7YIT4M0aTObL9RJPU5b6oOfG2BhlsvVrY6gI9rOzOrDG1OV/e19V0vha6ZWyltz9DveUduSY0KtkQUDYGfCk4demtiRkUgRjCaG3LKDqLfboo8ky5eokJJ+3wA6cB+S00jamARHnn8BVNg7H+qixAx3h2SVQmrBHmszLXFJyp8T6ZFeQAJ+q30zpGXJ7TrodbAKl9mfCniyp3BzBsL3RK8xeQy+d+pNIJaBRz/P4bJ8vA5EfmHdz9mSFuP3qlCQpkm1JhGqwREtsZHmRMgZOZCfPyLbnmNlgjpAVtUCoZE4xJUh5Rd4Op3pIorSdj3Ci9ZXHpk6PAszIuu7u/X6iU50bPW5Rb9QoIGywEhe/WHpxAYu+U8viqBnNmROHsXdwHb+wTkcjM2DslsyG+QFy+ONkR1Z09JHvkkCE02zdCnN1yYuuzFA9IXZ94HzEMjqsSKGuvP1BG6KGJoudprKo3kka8zlh+a4mMpeE7CwLZ6C/BlVNDxy2IQKQ/ENnLz2+B0TWOqccoynfOFK4YByg1xlI0ZBjnbGsDHSiHOubs2w63tpGzRM4oy4J2yIAyZpHwqCcVw/vqLPI8h6mADmJQQf9G0xsj9KNCZ/FezgQF/LBT+OI3nT8AuS8Q9LsuBuAv9fPXDOfAeESmI+NrZEaRupT2pzuFmYaDogzxZwudkUYWEJ9RYn59GqecFrquMQSqxutbV4TdkIlU6QVuJeq7DJSz9RtiP1YAK5XOpaiFy17ftPy+a1PofOk0mGjYTVKaETXEnQ2KyC1uVIKnGJ4ZDwrXDsXCd8Mk8caBLRKNUCZi8Okvmxi7BzkfZ5sWTZ5tYqeWh/vpqCSeutQIsUxAwArq5T/ux6cwwy3owfCrVsoEu2p2pcGO3zAhmpBYIlGn2PPLKNwZzyCosKtGq+9Il05yNAAy43ZQh1Qlwup03kcS81mZWnMENCbyAxIkfv5pHQsUXxDIFQyMz5BgYbp2xYsMfWYYoqixTk5DWVQ5EpKcQI7chcspicWINRq9hIvs4vFVT0wybDEruZqXR8qwbJp1dTWLLV3d72XsoFaSzfk/49xO7bHt3tMuXUAY+ihPXIaPxGF24Mk9lorBb2XgfaB2kNBCX0qQZuRLAGrmC8xGc8jWcPwDehcFT30xIj81W8h7nWSy0uMzuQjqwWRMW47vSFKfKXDdl4AkFPzpqSnWGbHIeqjf9wMQVqo2MBkIDmnQU2uvFKJPk0MKQRVdatR/16CLSJDCKkH0lmGCwsxmvp845ATqSoZuM+ACSZj3nTSAQFhvxCUozIOXB0IyQ7ee6gWJ4VpzejJGzTPBBcnoj/wjHeF9vPr/cZWXUNG31uK56XzxrH979D+hArhfng3fgf8UZDGO6XNY6/hkaTvS4Rd9btzdfqpSHdgk+fzcHfZnP+hlk0n6iIjIGbJLcvz+U/8Tm+Php37urdNaOPE0fdKqZ2H2d2hOjumcmmeZoz7uY7Rn3jlxP481TyM4Mf7KvXaJODA5SxCgLeWuG+ztaOhDa+xrjZ98TPOmk8LbQgje4WksqS1PQA3ywjsUIdyA+/A7SBuUKC1N6tCSSN9IU6XMRsA4EeOw9J8YZ/G5rgw02HKi3vpuj/0Y1Nk2fP0YerX+bokwpOrv/01jPncCGoPnrG2LS2+Ckxt7hePKHLByWG+nK21zlXdBHY8VYPMK/FvSyejsGfyH0i4k4mkOCmhIEGv1fO4QddCr5HnmDpL79aurLSO7WV1zF9q6fMRe0oFAWbiNySuUigAvX1OoG5SG38LZ6O6zvmfvIcYr8jPKLJQg6KpHqfZzu0cyzCo+3LVMRrveZRQQu0FilFQxuh2PTFV8gx0qK5a1vc+RvYiKgPifyszcdz4wuj3TBAojN7YJrAIoiQ6b64ZTPOpuJnlManx6CSDpo46CGqiYqmqEBK7So/tTmAJeqoItlkYeHQekVJFv8E3knOjkm2CoJfki787NUMz8lvCjwsG2oPClm46j8u647hpmPCNXwbnVLK9ELhsiC5yv0Zmwcy3LAFrbqUz5laTxQiOp3Eq+o+XOl1TGeTESjKzKISDbHGni3RkdInKMu2RKDcemhhX4eLfPINrcNT0RqfZhB0UW+r2vWs0qy5leReNUx+o8FKsmucvpjueVEyr0x1+noJrl3bv1OrVyKWM11qJRfjm2R19/Z2/L7zTYrGYrxgdwvyVdjuqoDevWb0c5NBN2tHE80NFv9jetyIxmCQOTLQXv6vzMXnXWZjnWJGpPt4cta2D0aq7lAqPbnBbfkgjeH9avsBoGQIRtWAoSIFO6gB9mUl5sSYb5jJ5l6Id7qnMFEgUzF8YOL1zQP0lCU1m2uGxyDRcQ2mqb+ShbimA5l+OFsNDBTBArJ8vPAHJJuLZatXuMZN4gQLU24vEQybc6rTf5uEtVfZRXhqa3qq1Clsw8/gKHik1QvszE9zX+58NtOdjDc/vBydzRbtt7EjOx19Bg9SKNGbgB5FpcFrQXL/3k3z+77ujJhybxfa3+fcFAYNNnZJpw/aTh4n0L3ZWm7vyRxDFpZ2Brhfmfp5UjHfy7SIIuWwPK9QGalPxEL9CPNUUBwTvjnZC7vYLpDYMCp5H67uY/kh/IIoiu85FhfsuiQWL7Wiwb60jXCtD4OhsPXw/4zzwvIa3URhK91iRpc/p6uZ1AXPHJ6CB+sDgCJdX0kv4SKu6jNDkRoSrP9AQi6fgno8EgrpmoBunIUbsdJ6yzVm9+GH3b3VbBcmUccPJBGNB56t8npeGkJpyc1ddZnOS4U4ey46uRqrM78mZRPdbYe/wJ7wJ1IePkvxmW/Bqd/MdrHlPffty1hpU0vPBH5z1a+5PEEbEvLbJJs4MATy4ERAGAaTcea+q+285a0TYu2q3YmXLA+eUu2sa2oz0h2+DKcWlrYwoA0Ts7rORDmZs6Mi4MpDpMmDCddeWQYwXsrUYPViOA/EO4w583iBcQe7JQgYOKbfUF5YHE1hOVTrhRsmXqKrl2NloZX/Z+VLBs+P5/Bw1hVyJ4vy1NreX2qj78qWB3+XuMKCIhEI8QBrL/nTMu3o3MycmYGonyufIDAVaKpNF7zxFTLKUyO/s6nHF0aspL61tQ85dHei8nLrgqX7Q6LzNLKvBM4WlqYW0jlhjYujZfSitjQyN5u6jOLo1Y29ZDtLjRM8dr+t6rk7T7VTTc8c+FnJZq1tImDWSKXBIr8hFrjGgHf6CnhyTFYOseSkMqv0UGu033nyvmLQmqLQVMlhx8xKNNkceLKtBnow/KI5GgmeR/aIh75c0Zg39R98eLvpT/mE3dND7R49vXH98L4sOsgv5+ZZUB4oo4YEKi+QVXW7WJzbRZvySJ85I2xujJhCIT5wQCXFm1xXbKIoHUI7s7pNi5FGcWYzuyMCQHINH81GauEK+wxsnpcQVj1Tm5tYPVqKSMo74lkTMCEE1BNbF8O9+WnquYg/Zc1HhTZav4MPI5HQJt8fINZtZfKpybQ3laCmwZ5VsJddO/MGmEyWQEs+9pQ3rbHR00SdfrAQFxJtwXwDIcIxxXoj2A8wLCV4sFOmeDOhicdopcfLJTF6VkB4qD+IbSn+hA77EkvugL01FYLeVLBTtmFLAudCTY/DoJaCu1rUPqYoNxM7EBxULda9E0VCTI0HNir2jVKHRoDv3PmJ+5ANdgHUSSAEZT9RjWWXPAty81BTqRlSMgd3EzySHI6e8jtjifJKHuxiE11RkySrvZDMNtI2WEr2xBGeS5divaUa7Ju6PwwDUrGw7u2usYXw5uRFsllg8RYCmnT6QIc48W7rPi4Ys5EaI4YE7KyxVKRqxPuAsdpjDao6+mxzR33zmzliM7skAmQgMm2nn3VQ7vW4QDv62NfIngqn196FNu+koY61XITxPDlopoUVoV1UGKOdIpNSnEhMfHqhbkQFE0a2xBIq0EyziIHP5+4v/hHO0B4c/XJQ754L0iYEIRZN+0jhjSeykRg4/mWdXjMxQO+WcZUzXHcL6j7XPKY5rPELr5q/y7ZE6GzVT1m2nehrRB7y8o7dFGGZ2iNVXCv++keJOnX281n3BeoPOP9R27yqQ19dW+4qmYyLwB4lwHfQEQwRzBXzAOCkNCs8MQxqW++rDY3Cf3IcXSbhU69ctEbn1tczInprwn4+uutsguqvr2Q25+zKevtAPMJkGI47thwyzDP45xqjm1yxy0Al0JWqC9f+798xszPfX6IfjQN68zv/l0QxnEh8r9Bsog5jPNrbPBwXEu42eXrQPnsU43nn/neIK91riz+zl4eP2gpE/Qh5wx1MuFvvO7cbmzUTACYyUfNsQqTKMER2Qc4uiJ9MWXv/Tz3+J8Hxv6z1f/+s+//VXbeshbX+lY74oJeMmvMMXV6QbX+5LO5/T/5/8KtN7YEsZFv9a72nx450Dvif/xVpZ0DajqJljtB4Bd8LC/g12r+4d/gFX4JRsP/WVFR79PfZse8J+YbLz/zDcfmx37PSTsxrNvsoIW0Gy+aTqlD7SzyUFvbsTduJ1mQXAnJPxjvnjs1nOCtz/9FNP1RP0UYnkJtt75HlciHS2NtYLoTDeIzoLEu9OUQ+Iotczvf2kOHdtZJOF3V5DgnuAiRHMoUe48K1BZVXG3eZCrLXA5bGtoOi2Lc0AhCRObai7uhPvR4bbJspxRRaqpwL3nz90JeJv5n1q0Rh6gvXAVza/4h++o5j5zRhGikq8Ly3Ozddc+38DPLnWHXOg49ThPh2GbxdmpumHsLiZpm/q5L01U4MOCW+opbayaZcP0yCLm/zoq2K4X+W4Y+85GtCscKiSeyEc7WFzAvo8oGQrnkGm4fCznTD2gCtmiXG592059mYbln3B+kAckVKZqsqg3zECvXmC1a7Q6gB6wSiiAgjkQ6ErQ9LP15lsF4Is+6IpWCteXZGKBRrPPRumQeCfAu/6Su1M0G0TsnJhzBxGDUz8E+UwGeDHn2ej+6MkuR96xvla5WSWlZK99L3W8g1lY9rQ+k+itK0gnnEFV62VhUvGPF6ZHf42N47VcolUESVaqjD68NddmjkjdkSJ4XoM1vMKXtPgm02o29OtsSh2QodVIP15h4aOFm+Rl+vyabJZNG9sx/Fgz5f56tJw1WnOQ+69e1i4+DC7siVOfn1842dWYU2tafMGjqsr1wOKyyaxO8TyfjO2J2K7uwa0CmX51TiZiuJLhKH/FXW3Ts893Qj6fnc2gf9VmUIFfuWoQTKZZY5XBpboiCLD0sJbMZW7W+RX503NhY62HYe/Vi2r3o4APBYO7SvDs+uKyFcvyK90A3t3QSfRqy4fw+2mSFnV9gX52doIemFEVNVIQzc/ywTGi0cksr1vHYEEDIlgMFQ3iHzQUsZK3U1HC4HwUBrRVIVIg/VSSi2pbFtuvK5I7OroJ5i6tTf3X9gWNCS6IvSmQfM32FIZ/IVzIbPxGymNi1zHjFl/NM0GZnMDuOQxYjCb+cOk8U7okqtJK/VYZpYblpoNH8WuPPOYiOVrtC2qn7HjAFugqJgJ9B5V+blabXlB35j1Xs8G7IpeoeXF6BGesnY7fHBe+3UNU0JXAxYtLrvAkH4fRUHiRL83/Z3eb1XLJhs+y5dHiI7LiO26TL5kCZf8v9oOtreR+WSfHINhmYnjyVswo0r6CIkCm0Drud/vZwMF0IVb5iUHQ1uIWeOgNWOVuxFKFTTtyVjEDTaToNVKU/mULdkcPSz9QceL+qfIj3JhL2z8KhIG2eAkNc+4iu/DH17d/6vGtq5Up+keXmZjQGe3UIzb5mtyBOQzpd3X/idxcyto+EPr8rgUX/ZObOrKVdfIJdWpT4y8EVftH2PojwFty5jl1/JcXSuco74XOz6jBa558rnctcqed/SQSs3WcNhD/HL+wByVbmO5nFNTX3VcYWjGXH7uatxdRb422zaxPoPG5+g82hQt6JkrSpooHU89WdirTzNQx5N0aE8LUtuSTXSgzmQYApkJVW1+DFqGqSPzdhN3iCF8vHUpb6W7kne9L05oSmz9T8VCs2O2U+9smjzpE/2qjronRcPuLFBe7QYp3Dhr/8Bq3DfDNSXA4yM8FCBf/LWEbi9sZp+R5JCNLMNA5NSlZ2MSRuh0mKG7tePyTchl7KMsAP4nnvrhNkHgSeckynyqMp6n0Zm3yVzw6mtmfZJf8U+18exDqNL/wUzPOOpTmz7Ph+rmMmKvWzQpp0y5sASaZtS9Rsx8DMGCslYCg7myo8s0L3PF4RzCFcmlXw8Pq3hubC6jA5ZaiBorBGWH2afTyGTpmvmC9VB7hAku7hMcDY6WaGDHXkSMc+Yd6Px3MWr6RjWzkkhmhbDRsl4cH9VRkZcr5+eWZDmHah+SLMBNCeV0QJDF7ukxcUAX4+dBC695nmMA0Rfhxw3kSlMio51CvqsnbD95uUKyM8BigRVGS9BsLPH6xTEEbioeq6XF2K/QCP2PAD5e8DNb5wr0myUYQTcxB8oiW1LXKcAUa6BW7waSoYTCkQnLg+OHqVTzH9995svinppyjvjmJfp0ZnV0O7H46tIos6j2giPy753tp0BVTBDbloVWsGmqWo11Yq/xKuZk+MV16bq/ihVDxkhi53h9RUfmhom4DyO+5KvMoqFFyvkybH8qc0+47VE01X3AofFAmmw+Uf8djf6so7c24832MBpu8NvidT2fCMITSa+r74lYMPUT9u9Ys6+w6CV0uQh0Q7LRjMP4gkmip5rGPvc0IKgfuCKJ16ZPzzxbCrq39rusCxdzX0ujXvN6SvA13QS5dKAF5tQt9Km/pKMqQo9Q1atlk5NS6Snyh0CsAkRxV72KtMMCk97duFoJqXQoSCiWYb7bgKV2JQqocEouGhq010JCrKFafnwdqRwdtyZS2ubtNzGYT7BrRGIzHnlJ599rVreK2JkBYgBuV5TwVt65t3aMRixXeduAirU6/NTaMjIMMcENW3YD8py0doJPyEDdCgcJgioj3+fHcGNet5d87qwAvLiNQgtrLTfaNk0lPpM4cKII0PZMxYPFKG4Uj/bvbEitz7Roe4eBzCsimoGGNUdRQLKrfltActrR5MwZNqAm3ICHNVApKXBXdtdby4n2O0jNEMeFkHX6EVy92eiJJDuxi7IJV71EYqmauxRLW4OdCFkpV19wJnGq8duz8m1II8vBk7hQEwdv3fTI2KiYtoCku0WJSkrmaHpCs2s2NBlvV6umYYV7BV/OIgXJiCm7iNedoq9MFRF75srDuyUXxWpSTayQ5ZIpBFdtrL45NMHkE5ouPN7SkOsJ65sT0spDkVAP5M7UPnIvlsZymbOV+d/E06aUnn0MpKbcX2DBeyKvuzqH0hP/PPOkFSNhVD9wvGS8/zHpGYX1DR/xFT5KTYetCUJ7UDtu1xL0q3HD/Uh133nN5u+6Uiw9uSIxsGUPDDlQ5Q7ddxXndigSM3/S9rYj1rop4hK1eUxHFsPHfw4LHJB+x8LGRj0XdzR0Srci2y7WPn6cODdKs1C3FSw7Pjk+hMealt9rTo/JmPb7VlkN/szre4NTV+m+G8rActjkZvhUrDVzyDapC24MCMCTL5gOWzXgsrJfGR9pcCuHysrp8ZxJckAoa1yzd5W+E+1bbA0lw+B4Kk8bf0KDEqlMvGv4Ncpwjk5ndRld2mjkUXX347pf8gTdTM//1XFcB9ObaapeFMBjV81veCC3V0GZ7lx9z7bUlnfKHwge2u73V/rTYOCg60IgaVhabJK/IrZKE6A+lr96AelQDTDRS0eZj3ReCUfQyNW0yZRTeILipqWZlcK1tclzfXyLA9RVGh/5lQxy0XP3O/93TlHQiAnA3xGlBtZSfVd8YmfwbNF6WsT/1duuPDtSe1/njYSoA2X6jqVw8nv8sQmva77AKn9P2WEqRONUswUQ1OfI41tDdl4ufT8v+pY3WcFdvdT65Spxks4GcFAVdWVX1jPHIijp+KXXQ/cKlew/LDGAhv2/AQnwygYwftQnMlozq1ocrWwcY4bvo7RVCRD6lHV2wAkitxI/DZ/X56YGw/GVey84EplxQm59GaxrH3iUfplSDySHY68DLXNdXtvYuD1oBUTf6C2a9IQUYosjvt1gg/P0gBsn0PCq0DdibGGf7ybDVNb55WobFsw0Eh+R4jP2NckxBIm0IsCPhOXmj5pKBQB4IF4bP8fS4X/iyfyQJDDbfl4SGBzDXx6iytHrQYrBnS5aPYUDHYsMRHHVzrlwCjyAkxAFNu9P+Pd0ZkGMJ22kQiMDMGksaFxYqZ1pfqzij545Da4FlVkNHbllNDmOZjMzfX4+zfa+BeJKEQW+3fRSWkWR6A40VVQfLtHjv8zpHw/bbzFHbeg7bdZzLEjMrsQzg2LeX12EhdQSCkf2MdaJj++LRnAUsw/0YNcwsSyzsQLZ2iK1VmAJ4J0JtBOK1611YnMrNBm5zqjJ3W1KTQcTGkSXgAbGLHvH9pPv3Fyg6Suff3pYBxi5x9R4ujV3seYjn7uO54VX5x5YPSNMuI4aSU8OFe4GfNKVAAFlKa6rfLllh4HY9Eo6ubnOyFMhgVvFcRJ5CNDDP1JT8GOmMWFdq0EaNaHCSr432ItM/Zktw4cc1/vkHv39ee4XCAb/9zab58OHaLU0pXNBK9A6Z5iNBCxjmZpaGIs5auei9ehs6Cv9cKO8R6wEGNndEI8tkj0bWMsO+c8A6twT0Q5c1S7y/4B+l5VsHnJSP7aWh+TyMAaWh0VO7x1z2xq/CCVNfB62RcPs7/XwSjU1iAa2DnyPTWPuIECV7KvjL4G4SUApP5YC3uM6CzqBJ3FFD5DDfn2XWXP63evSk5pgFOB2ZNUcWIMAme3btqAKnUZxG6h8n+BnDtWpHW3VFn0YCBQoFoOJ4pWTYH4XfVKzmoqvEOCh2a6uMizoKmxFRm4gLjHYjFViD7np95xujyGG0aSM73TfNmnkQK6s5M2aPWjH7FCuPZXNnW7qng36FMZSgOtYBC+pAPZhEgcP2j1CDpxdo6nEZlec3aC2Dd4YoHDeKqwKXiglYf9wdxRr/kyRy+TPpHmr80zuX1Zg0QnbVlaVYRsIXaIgcShMYVRKxG8e9xAjfuIRxnfJeXqVlQFac2feuOsyzVmgvvnnCp/u78LK7iTVh1qPglodNkUiGMfeR9RPjs+9WraoafYD0a+yxs60bHSjXjn7X/gB+8riH+hLERJoknvRQn0q/L5VW44ocaEQnMHI9MMmOA0jx9BVXXTmauzJOYHKpSsZiAuID7qkNDtveLC+9iUkZ4PUbGNJi8/L8eKb+G6Iz/aT8xhvZdIHtZVrfJbXNsDpDNcFpslW+WZ76edl56zBv15VcqtJSilKXhrWHx3h5wl8Wu73YYHHu00gC+758zCzxNjvdaxf9PsESDKj1kJVVe4ySk3SIdOLRllo4pdoXfrdB2Ktmph8Ab4sWxkwGF2+/jgjvz+XPidG0YBWD3slrer4svNEY4zLAhTKChtdGydCsgx2FY2v5/Jd1CAKrXHaELmCBRu/hypqXw6lseZeSLk2wgkO9ELlBOfmSflNEGVOz5Ynz0bJrBRcBxbfegBxTLtKAAnjntIzleurMD0KlzhhHu5TxRbRVRbDPuDkzdFj03Jd2I+55cSPAoedfhiKCCcZFCmpRMy8Ak7bK+Cb1UegwSQ9YElkwAe4xJljBNKPkkGmKF6rpMM57PmyAyD+44NZkDnTjHI0vZ12ezuBEw2yE8+0rukVXu1VNZv5v8+oRE7Us7MqkiT36T/epF9TqLxNq1dJUpoKYt6l87rlKFNqKFVPfgrtY/Ndxwc+Ud8vCu8MwTjYyMyhVQx2FUKalI+E+1lEM1CnviHd7xWdsmoapDRimJmAjj5M/cYk84kJ+9RKE2cp3h/z0U5ZeO4kGUvRIZTdLXmzb6GBiSbagWhMOT2pbk8RLcG2Uw1ZErJZMczwQ4a0kx+wRZ8riiPjVku1wFqApv9CKxJCxcP0ZEOXETwM0XH1Y6Q1oscCZMjyp85c7VA+9v69uPIhGlw6SqL1E7e5Z2gX3kFq9ZrVFndWsKat6muHWrA2Lgq++XuVF7a174gzn6eXSwD95YEZCpeZUSGAZDX4TJOCgFFMb8Q10/XFprZAtYV4XWBZXcWJZgC8ULQyRd5cE0ygj5qoOLnlMG3nn/Sv7igVTBzp7FHIjLh0VPJrqH9CPU3dw55tmnA5zPQ3YGvXee2sbFN7WCtQlokygdDJ4BMkiVRjINe+NWYuxaLYsQhfFvDIWXLV2MWu3aPNxmejx6nqlkoBr0ouDT4fS+55mIaNK/lrxrj5BcbpnkdWJmKb3UkQ9fAFIH6YKCSnHm0BN1eDted7mXRK4Z6lkvEeLBUGb8jo4OlXC+xmA0Xvn8ODgo111DvQ1WA/TK1wiZbRS1/HJgoyJX0pNf6D8Er0wzm8uSUoSRXqtVmuV+t+iiusTdVAiv0K4od2Nbpntbfp63S+bQq/ns73SiwMwuHCqb+jwY622f2yQSe7Pwk0eFPeU09us8/HyPtm97A6h9PuqCvr+VwSXxGvoYviXh0stXUwX9ZP5r3pfj9SKfFuP7IpTRHENueZlPjhHbAS23tYb+lbmqY+Ma0R+mQshP/sgPszTxwZeyyHMqdgarDSv5TjsVG6NVl14mf9nUg+aD+v105MGhLf1+nUpOP93XlnQxRLWPqwf+9fKJc7rx/7X1Npwmq670GIV5//ukWvD9Xq9HfffhOToKS4qWpdSq9Xj1D771Fj4uIt+zZ/zkg94ma93pK+n38YR32q7ejPnm1PeY5AZ4XOlTL+f0ucwcymN4Zo2ExLnC4yP2mb/iDF7Ur3Glk4DEfJzDqyJOIVxFO2LIdT9GMXh5Br/Id/9jz0Z/L+1IwhNBnybTzY//kFZLgVjlXSZspFR7B6mE8QMK6VYbYQDLM3uOHxF1gh5R21Qc13JJhYklh8IzzfHYTjzvC0SXJ7Xke7MY4nSIf8EXTeKaQbF5ZBSCl88tz/iGsR4l+ClKpKDXbZPFODPNCJB0whLi09m0uLoxMAaul1Igr5CnLVSpUlVqg26x0ZnMlIj1+M2xt66GIqD0jrFwFKCRas1q/BH8SFIhBwkzeyKExbwQW4pJdqfCgQ1H5nQzm8aOP7xRvEBmDhZFPwMZzhHbXBA5+V9GJ/Um5aTW+yeciZ5PRvL9a0u99iPXny8gdiE7JT8DKt5G2x5B6+hvO/8W4+h0bvtJlRZUwW+OtaVK/Ew1SVhLlUbryg7gZN/mEfwwP72pe6yXQ4FeRu8L1LncMf78463Ek/rUmEUn6s0bFWrJidDbqLMa9KofTHS6U8uxukXfJR4YZdCSySrwHccm+Lgc9OTxykKbqdQ/CxcPpTmUy2v7XCZNKIteuBdoEoMF9oclznm90NhtsRxh1+2FvomUyYz3uVGTxz2GNKluMGE8qHC+VFYBC5JomqKZrDWFFx4XYrRs4rc2F7XaC3OSnOmYmJl1nL2mGjQLh8Qxda6dZ9EoElZp06y1Wptqa1Ua6mSXKRfQdxawwVhkR2CWKmSH3LjQjA6Fo+PMeZgjkjwzqraGFPbtz3AOIAw4fH8ZoLyqlN/qC60VpUS0xr36FAz9NaOnR95qF4b6zAKfc2nrYDAAexjK8Gio5gy1250ej+5OSyxiYxfxPeDeJlt/pE2EJtUNs4FR/CnQNVS4OZJ3DEgiQS85xU/HPrchMqYjKfreL+43WJ542HuLX7w9En3Vj6JH1F9UnVZa0xopL/pXsSL7sdcn8PapiGRkjjpUn3kFak/F/u8ATUh8jx/Up0Rb2qq5+OdW3uxzTXkEn9Urllz7oW0Eugl70cUCwEl58w5IqYbmV2/z0tvU1AkZe1bzLaIj+C2G/9fYoNdDvSmWFCPt15ZrZX5/GX6MhTB15JTOMf9Hp1O92H71jh8cYj7EXuu41kI+8O4BzUeTP/REAnyeQf55t62n6au83OhaD4Sur0xr8h+9PbrHu9LDrC95TZ+4c4wiG2dZmLKIAu/JofGxGp2DAPo4rvmOO07Csb3sbc74OB2NayHxP1FY5sOlpj27VTMICtMi9ro8vOUJVIRVXxB2+th1J47OgrG3J+as6nwUNMFLggD8SphPVLOG/LLBWhKyghv2oRpglelayqk91dCl6rDrr2z1s0n/reIEqgiRUe4JLRIhd/4eYlCLH4IxYbbuY3dR0FZ8kaAqcLGsLVUpw1YS7TTi2gCy30HXDflzxZVvtH7c7EeXEfdfKvH5s9/86WOie+1l2/134x7aN1/jg3J2BKBYJ7XWumsaAq9NsHyidoDMcXmEgsUrRnwB6YVIfuSIS8k5FjPwfcfcmyz/9o1nu2/xizctkk7KH0WoURUxvgXqUYY1V5tMioe0C2XoAOdb5yKo/XB3lwIJcLgwxWYZVRI35JJ8lmB1oSgxbTaRSeaU57GJDlj3yI7TKtXLQQYt5n0ONnaHmcOvcbGXtXXbiWUskHvGIgDJj+nmwnoKja1Wi3l9c3dIoMMWljoHl1vVBJwd5LVOeNDG1Y2wdrLj5qYcAkH5jZDkcyaGDXB3uvX5NUKGiL/llWbZabdm6PtT9S3g7mTwMXuqk3xI9NXgE+37tEqORVXUzS5Uc4EcYZRh5TUBgqJESs1RKhMFrWAsykDJO/TGOa89VweQEEOOGOhbSOAFWUjphbkTss4RZ/+22s3eAsFWW+Q15PTcOZFKIpZ20bFU5Vvc1mYRaQb86m+HueQYLdOXJ4haznydcZQ8dI1Xpk2k1roODdGvjOWatrYQR4dBMI7827/j8QVkkADME92kRYA2a1FO6W/bJZAwowb/ScWcKITLWAWBTqHKgHah9/txOYkFPmLFhwUCy6Yi/oQMBeVHfUoHvAyezmbwbvDt5CbXmNDUZ5J0oPcYtSqBYE/a/EertL1Vs4U9A13BcgEWX7BchPFXPFcF2yL4XjJvboESu6ZTMXBeYzDIBzBkGDC1yKmHUg5UBZfYJmSEgMHKpuF+MSUr6irtGkaZ2LddjNN7BbWvDlz7DxSO2z/mEdHr/EDsar6E9z461vnOzN41sXmO5uc7/PWemv1iszk6mtIs/G57Rr6y56E9/icJ7tIqrPLHQhdaDiRoepKhBa/iVwhBOCydAfidBBC54KJN971T90XLPxx+e4oZaONZhTkwc+RKE8CwGlM56cRRFk6mxkLjcaFb+t1KebWNR8cvUR/5EyLhQSzfUqDyYTPGH3Ez/+xAnWFNho2ZZg3+8ohLTIACWSbGLpEEfjNV7ObmcA1lF1v0tKM0olSXzTPmSRzmm8LgCqdnFezXQ/0OeMDplA4Y8U16cY1Ma2wKjJwej5PI4K+jXCCdqk2fr/gZ3/EgggUOH33shCxOZMiPF+WXmVrrRBfrrYhekcbnr5AhC358oZlkRqqUHJZcCS0LMPoIj+pzbrfmhfj3WzWyS6Eq80eslnld9wR4pdCh/kgFkFr2WGlqqe1qMUmir3YAhcVgO/SsH8Sy8i5XKWpbTU3vCwvz9a0wJUpwgFLpeUGzB+bXEuiTTNxI/gYChyuiYUYi1W6qMClQh4kG6MzOtTHmgbMdWJMDd2whGRgD6TriPTyDPSMJz5EGEwdUvX+BVY+JEibgK2eY1NaF8mpP24K6hBlHNz72LQWBjXBuOPl6mKU0XHvAUUYHlNFvZrkDclOiq07nYspKYO5xb7uBPYL+3yVK4jfsOYZ8bL+jihk6UhA3Jw+ZN7geUMyt1VolCYd6UjHC3vjzpEmHFT8CkmAdn3JSb1SqmbdbEbztytzfhcnM3VstNA5nZvz89yBIHnASJ6ISuReABc6wii0wX//+e2rV+QsnXuBNM4AlFKSAyyw0A9Xq7AZZTS68p31iqjfyVz/GyAGbr8cY1UrTek6N6wNFfbQs4QY+5Cm2EVIljEUExzS7aFCZte0gL7VrWs8bFAJDOFXO1SlFBIsVyIDaQi8cIJ5c0e8M8b2ZXmIQoPWXhLMEZMDLokLKQXweQcLK9aTTQzj3fxe/aJVTeWeV1R7vQCEcL7qDSTUnkvht5B2sLbwwlfG+VpQTvHsSXshzNK5i15PMlzwn0Q1/BgT0pLyJWY0xRUqNDSlBPOrbWAQqaKaKccOqJDfzen3JgdO+/vVogAbsTJaM62oddJ2e6ErLBr8c76uLVG3tvrcQgcWG//6TBPn7RaAu6gfPOKf0SOtUFhY0P7/gKQR+yUMv9KrdVElbnUPGKqvXsHD+39eHQGWFRKOV//n1bUkgnxtb3L5Tgi7GMHYm8j5JWVvncaBeL4PQA3Xx+NisRW14iXzmERpWbOmnKyvn1btP/1X6cnFWLjKnwptPU2t+6dDq4af5o7KfZp7EUtogI5gR+a28Wl26XXag3PmXXQfR1L13ze1Iv3ma7T4y45/1U7ZgDWlvTtBhqCxo5TX/hgxdb0bLTMRdPLZNkjuCMN+5F7Duzl3fSB8SzQTucnLvMe7aru5btfKvSN1Y0KKNXeqN+U90lK4pjVQK/ZK7aya9EO86c5xinb5JmPQKFCgFR3oLU+SsjS5Zo+GcHocuoah5KKuiXE6bP/MGFDGqpK1RkZNWjDsxcRHZ0euMqawZXfpfVvHBTMGVBEo0fCA2wYsH/sQjGJrlZnL+KQOZTcZqXYpVWDCijFJDLoUto6EVZ/O7HWUMYKQjlUfH7TOV6E0hxyAwMdU9rKqMDC0TPmGtbn6g7o4mCMClbxxhQhk4Jd07XkiEjA+deASUVQXtu30ttV6VrqX3rHHtzhVNb/I+u7Uw32//zUtRLTIAV01rO3l/D/a78s2hB3RnnganogeCFob3upWIr1NqGTvyPVlvW55tXQZ+VaHUC755v9NaZZa4kqRbME6C71xErMAzRPX/uSFNRSSBfjGKTDWiAQhgruW7YNpitRe5U1L3ZItiy5Gn6SBjFJ5KrnpevII4T+1i/z1O+hyuSYpANb0BfSv5eIsjBw1A6vkNY5uvFxKcHCSdkIjsGBrhB42ToUa5GAVV/ePARF1cY7aMUoi5cMKh/G8saMHUDKOsaudf7mxyWSR7ThUwSC7xWZr5I+TARKIubQuRMyV+eZjdLrms30MEVb/84a5YZM5EjI1Idu3u9NjNafsiDwptogjkVw4bgGq+1mVOuECPPk8Ldv46fZcLbq81WyQavxylijxBsYmdsIfC6R3vUHNKeu06vYR5rAUfnyAZiPVex0Xs7W0t73IKoK96lA9sr3xIRDzXqb9AI8EX7ydlJkqtHfjEevd+1uMffWo9koC6gfj0yHduyznzKCOcqoq2r0fLlAXrckecGwI6WGVLMFpBOSq6Dk+Uiyxh6c6XViEYj9qHabtJiJ0CgZ4HvGmpOqoquHjCieb5jh0uUTV+HFA2kvdtE+nLtX6ZdVuvmlCKZqgw83ZZGCJSfK+9P/TnZ2SLDt9PTwD0fKzCdWbkyJSMn3nhJEvZ759+GXNcoMpeXe7yPrKsqCKgTaDUVuXK5s3kD90fGOxrbmZoE3lggsqKpJEtnnhgj7hqUv+MpfLhqM6lHxYmere1KUoVUMf/vuIWLnaFDZ8G4an6cMCbjrZz5wwtWPfqq1k6fXTJWlHpZG08YKZA86xE3dnKMI8yz0AcQgIqiAani+4QvjOw6P+qilnlaWlo/s7Loo0YLLxsN6tJcXa2D0nnPjFazaAfk+4OXd0oCVjLMciLECLyl3g20afVm4xT04hwc+xFm52tEW5XE9zUY1SzhJftznUPH/ZkdwAka7KwBx+CZbOitW8fBuB1PetO2XUmOpWXLRaM610VS/01wnodb/IqXCzdHgXNHmeXgmLy1nXFNYDcFNHIkWK4YIc0uLwJ9VUyRnJ4+FUik+9uZ4hWuRhyzZNwqVqFaiCJdJe4iiVhIwLQRXfyILK0Q3BhgipjagmRxbg7aDiDtngzR7mh0BUiHU60iokyAARVePKXK6vnKCdZGg1HVPRtaMkZX0gP1stKgDKF5Md5oBMlOoAJd7Djft1mwjRH08qk6agqU/VJYJ6WZWPJRNSH0Nt9d4BdkZB4P+pqywPDFSzK6bizr/aP2vJemiFzAWBGtf8n1mhuLW/Bp/3Hwcxp8BhP5H+qzV2GrwiEVgP0N3IQAIc857wy0GxLi+V11y9hWwjOYPXvcslAu3vF2R/dAuLohd3fttQF0ePQATemoUWs+i1Yx/b8Sos1bf+CpBg84z2IS4v0O1m0bi0JNhXqp6y8iJbrXb/wwMEu/kQKyk/4lLmBqg5PRI0nG6LCQzccwoqd3Mtdl0BZcl7brNs/uLjiYH5UqmUwwz3hvWSFVaU43J1kBwRv2mWOygxZ/HXkllptaokdnnMh4x3bg4Eb2UqC4unR0sUg1zndc8y1s/A0S5vKSUkuS+R0iOAwHWuxr4FCY/Y4A1OSt//Z8002rFXnN+oxZmvzOTlMk1SWmV5MFC3mQlEeShWQaoDHEcxlHroX/njTo9ZSBc40mORSQYDvwDZavGKP87ZI58zC8b32YTg37hr3d4ey+u2CdJtfySd/wp0M9zd6FXJgHvfsidlJyPsbYh7t87eaXw3zALFZSQLrip2wCYKhBBpaodYQKoRSTGxHVMeXnyaRewvF5Lk087vMhJSwGR0OHmzyJPBVZFZhpNN+87SnnZT0+POpQbWz5GgxdWkk777DZnOPN6S/nFCjscPsj8OyPk4Q47HWVI/zhH+8Vh2trMC8X68qldiY6RoU9dJ2HAuTfG8b+bmIRC8NzpdvwVNFJ7T0eYDuU3eL7hsWvds8WPVcc+hV1IeWxmkL/uUSB27rmZ0wFSmWiX4QK/j0WGG+HlBq5s3grdvLBLi21aewTEEWQ2537lOabvJpDQo2Wq5Jm2GQYxu7n2ifqwFXW6C2Wtu6gLwnbl1CBzv5cPt2PHOPlwEcJSaTXRMKt6nemyBPqTNc8nsNoGlz2ag6+P95jukglyPRhhoLYtbo5dw1y9rbTs7ey//7DFaQ99HNIPeY060RuZnPkcqyNX8+tf8tvvpN5pFa+SAPv7Btqh1LreZuct91mwZWUhZ98PqjvxHSE1ESyFuU+CMh+Y/PgG4P4oyjtqiy9spOFQch30ojfJKOUSKNJSKG8TzGJb+Vjl9KuiKmOAV95yh/Fm+/5IqEiAIRfNf4QFwXdyWpF6VYRcI2OP25+k1eX10GRotY6BGT5ktkXjC7B3EfTZFbHjBPNywMYpE4zo1O7EAPUcLFt0O3ihnJSehvOKcl/R56dQK/Rb2VLNxPU2pkTM1o1I69US1d6LSjLcOTY5gz14NKMeyieHUoUnTPlo1797vzcSOMleZz7/u2Aby35v5vcu5uS30od7w/NEi7ofyANfD5lWOvGc1I983RiScY1JCPav5iiwt/RuANCXxXCWnU5IUGbogKTVOnA8MN0WLshwDmrjtcEZUXD4ebj9+mUmLctLUMBF4w/HRmH/YknPcBPRgZl9S6JSHqGfwaEo5lN0ZBDOU9aF2dQbZ1PB92JpLuL8/T8NJ90D1ZLuiwpbleHY0JuqCG9L4q93uJGpZvwIdbkqOHbzwYJS2RdF/7xyJq1toCC9c94nMi7CY9Zz3K8Hj5LfnL75zGy28pDXKNB/JweyoMogb3zbj+tmz9yfmLqzKlVRj2ARTj9DSXikBNTkwuZeCvHwNWCCvz2wpu8jUd9X7T/JuB2Ze3VA1QrwygFMu0U9Bsq0yRLHHm9SD7sxj2Y+4YDUehCp54ZmyKY+RvKRtsjrw8DINXSLfa2TI/QjIEtlq5F9wbJSeipZVE0sSzevuqGhAZ0khy6eHl804yuPjNcom39QsUqC5deqc6hEaWbJ8MbbPQi58m/JpO353mSEBZRMrEAzuJHRWsXj2qzBhxlG7ZTcxRtWNCNMTn5otb1PcN0/6onJDOg9uzetsHniYXm3MvxwuYiMC/45cq6dsNBZYVjcGq8sbKtB39UZiWiTDZYhe26pRFMt7NXLaweKfLBxKtRIA07WcW81my7Nk57D3vd/3G5o3s/BbI3EafH9c49bKlrvUVy1LLg7KQuAHhQe32mNDWKXPuka7pioE7+8zS2bfrhqrpY4gI/J590wPX/aOx7I8G4Y0Fkks3kqe2G8V3gZGg5ZjvF2j6I7WPtvNWXE+d6iI6j+/glG8Av+gNldfGlnEhmhPhRBP4ut0jmyKVLmwmQMO3/vnZsyTGVo0i83HU6gGCyhkTUNvGSMOVeSyhyA2XhLpLKyOVvndoNTeNH1PDMEheoDc7JYlUMgR1hGkhhVxhxITkdo2AY4f15xA6yVR3Rotz2ycnx4XXhDr1e/YKP+KvCUvcnmZF4ymrPyKGLdMvqRY0KZk6QfDIt7uIm9+Gvkm61D0052r5d2a1c9mOwwFISf3Xq7JvL6U1udvqeR3lJAN6p3NcYrhup0CdFzELafq2YBMzNvJfxaAxXLFmFm7FdORByecKtv0QqhaqiL2fEfjFwWU8wTVXM3gPyGBoGfojbMVWusXZ9cMl+1gx3qHUT7ttmhMrdhnSkybT68vWC7OWpA/9eAM/pI7B2olLsQwU/GQ0BIf5AQg7Pg32IPp6RWS3JaM4SehO48mB8x/ORW1Jxn70nB+JLplfAj4/T8kRfD/upww/tuIKeYI/cMNOg26qsNX7Th05MkSEMtwNKx/VA/AFD5IwcbHCfBQc5zKEcG1bjm8b1VYkqi77ink2AqsfsWNw87eojQUlNfgTq/dm0h5k8BXoLH0ASZktEn3WxMf1k+mzblQ15wq8Z2q5kjhxCJ8HSxl+GF9igG42rjfwCukRuMIoT5xYxJhaq1mo6aw6y3PfH5TUZ4bgOXn/jI95mgbnoChYmV/M+Xbllm9idZ0hixyNXm3NqqCy89KhMx7r9cq95O78XNOm9lYtMvhg2KQ9HuQiySN96hPnWxFqpSkf1b5GDcsQcGzwjzRizR7Q+HiY5j1EKLe5XS+bdBBqNw1gzsQ/PkgTz2CZvET5namV7oT5aiSaMM6Pu+CkKX/FJlQLb5XV8Uoq3NLICoLGHEAaMqVz79Ee/pkndJvtLIsPmgtkyn9CF5bkbjNUvRKMgL5A3e5QH8pWj2ikaGOwIaMPe7F1qoboRbpw/Pq1YZOW8FtbC9EW5x+bNskAxsOaRxN/Uvv7A0vRndwFt9hsam3PD8i9BKuuZ51sWHuha4+wyfl4ZpZH30sJ45PvBIGQfGLId4E32KyUysFlwswlVlfoweckwrva0n7nbyrN2hPnK6+DcK6tWOCFMiggxSUyYa9wcgcF7N+ZSw2JCOobwTr3R+9oXuTzxedE6pf0dYa5NnmtRsAZ982TQwHajB/9rwHRgMZ0CLR7V8VocRd4uQhqjZ+70xfAZUQoQDMTZS8x4tG82LyT/3sHz0s7rr18eOsZBE57sNTy4vMiY0xUyIQIezKUis3haRUuVB/hHRYcgliRwSqXIjlxaQvSzkjllRLQtKl1mLTYYFO/gNsOIFrmMqlTtTAC0lQAaumAT4JuctHziZRa8O+PSnbWSwjCEePbRX2CrzYgfp9jQvEb8eyiZbh1Z4DIhY32ggXi8dgRO0OWUa5WLz6g+q0nLHxp4p7LA6CKZFk10f3MteJl02LY13vGPNojcjyPKYTF9Tp03KWwNwe+Yx7EjePcrDn8SbwTisFvjwxxs9BxWVNBBfwQZF8dbHmqDwLcTqp/m4aHL1mJ90uoIw4WMXkHjHF6bkzXTNpNBkM98mVa2thA4yy3lCLfQgzE1uOc2iEF9E6hGy15nmTBuOdmVycbkxb9kACYEacsDSkfymQEUDZScIQzzzvs4DmprmlfbILUBoAMtpso22mT1oEvMDpt5JxfBT2GirZ32YBSFGqIPT4ElmHRPwhyKqMFQdGd6PZiB35w4ZeAMrdaagziCxCMnAADQduboyoel4OiZl6J6zvgdeSjIpTRfSI20ws9DmFZvpsbNWeFXX/Csp5V85PRvFap14E+jlO0mkiymtARG2OfSs4fezr8oqMfNyIHm5zIBHn6BEELnqNTUyCXK1mK/4xO+r3phcC0eNwG+Fx7HWiXxog6ycL208hQBMQRQk75XFteERyiOKuDwvNZvDcRWGJpD2J2zhprBNFSsybuzZ6aO0A9YPlAzHRmESK+tSK/CqyJmJpR6V4+eZ0YjIUyxF5kW5QbfXw9F4+hWxdgsMR2dp5GuNZ3eSFwYsJljED5ztFqpkNeRlW2edoNdiyUK1+49IUCtCFFsWjgKbaJD9Nc3jJL0cGkDLXHpB0teUdXfim7sdu/H+yF0SuQnGBhJ2hxMy+1pkOBWPYC6zyyy9g2DWFVfgL6/706jYQ+GHT1OvBXjyA6Kb9eW3E/EMisIVX98eV5zeJILrY86uL1SprZ2+CQYRrj9FcUxppy/8wWjI+M0n+cDGtp4vpkpVogMlo3rhE5/TKuOeivWFi3+LbMOyPS96kNKXu97pvVBEmsanXR3awlL7V1jLswXj++QV5JfzhRoRlS8H47R4tcVVnaS2B0Koxt2Caix9uT0R5GCpqPpRmq2cOiFcPjz8J9FbKqY4eueOMhBopGT2vfvpFJFuCALN46mkuQ6Oe/BUcLwdfd44DQrYJlJEJhd3ewlcgPP4kPRNdIbRU4o0imSM4XMTW3zTEYNdV6/3ZntuD7t/2xdAGG/6neAwtWQmq/7qP4qib8dl84ufYwq9ADEEJlFO3xc872kpktMpSbQaacTxx6gzb7C5bJjJTCUe49XYz+ENgRTYNEwDOBmRVohDL2v3O3O7mkD+yIwtMGnNNq9f92lq0cOUtxkl8Jut1DXQDw6tQNNaTjkKFcpyVvGUYYwOTFT9JUyVleSi0LbADIL6YZGdwP5Y3MW8+z7OS9OHNRrkItKdu23vKZTomChHq6Quz4XnhEbaAhhvXQd9156q2W5iEIV7AFOsL9pYjM3cNySf98mB3tHEkyfYvfcsMwDDfFwdja9b7EoMfj+goQrWjvL+vqzYUyJyY62gASLPwyQlLHgs8+nSxDIscv1ofQ9Yd98pro4Nh79TY6+umuuzERMeWaYu3+K5m6MfaaqO6TuBqsNY2PbQ7lMzoAqIohzX3n9vfMHWC22HOMXuHUe7Dnw9+gN+R4lnz7khBeU0fvvP95KcKjlZV5ogjl97n6osTkgT2vvRwrYtxMH2UqHwbqS+Vy0rRzILTfrjGKIwi8wPLVIeHRzmTe8IyNecnLFNzRj565kih1Xri20gdy8Sh720+MbCxfkzdvHwAL7dOl4xW9hN2FmMXbp7lwWnEybs+qZ9Pt58IR1SK8ebYJZPGBTAV80H8z86lkoLbN0reuBo94rDAwW5PmoqyBDlYjQtmaN+Iv7gsiOm1C+ulV5zKE+G5WCeS3ahpvkS9sVSb3x+WxoOV+FBQKjT/ekWKTdW+XqxfGfQfh3+0jXyKJya/7nEvREq/ZCs5CtlmAKMwwD9ngqb5+L4cuj1YuHT7XRTaxFCsI0+9FpIMX3s7xNPCyL6YvL2s9ywL1LcSvvM2vC77UdtiuXHZ2aoiFCqqoM3WalgVBu0bXW7RiFaJYW9kQ41sa6sFtazBR26iQrxf0ZFBzVBDziOTLFNLXCu1sweljuvhUHAEt7qYcIE7wloqYLyQfBxJKD9MVvxQS5/cq2MPkl5niIsXijKTaGaSspfYkrUntKd+Sgzj2mrKXAtKS2wI30+P56N5ocdmFi1oWznCsNKbzvwRT2vVTNHuej6Cz+LJVGQcYiRf5ichv1OWrE/ijIdGNpLQ8hU9Zc7uh8PKzIbDTu+YqdGOziemk1gsAs+vdJJlGgjAexTpCR/UCvg9oHpzbx16l0uAl7CbG7vPFtJhyOf/YCPZzxLeDnaW5BPEYGMYK8V5tBIi3eJS/xnEAXFRft9lCJjMy/90HjvrbubPBABK2R/PewkarNuBPV4GFKMa31ElLKl4VJC5Rb+jm/pFF/oUZ4A8Czb2qw43cf7AgvV34FyPvveM1gS0+kaogummcX6rTOQmys8UUGlyCSSVs4zTongirreb5ISl5sGlKiAW17HhlKlOtII6t6vF7CKvPL3jIvm1W0J+SJX/WHZvY+fjT/wOOA+8nyeev/MNIbH1juYMfDL1sZukBTTlqgmhui29qbeJ3L+L99sGt74wPMICt2VM6GEg3HfDgR/3D2OQC4FgZ5to+ox4FLr35H+4Nyu+Obxf6VVngxRPKbTplu1ZGafP63ogHLxVViM5vG2uvJNQRYubUr1ApU6wZPm8COVPTZgyl/nTe5ga+qkzuFYN7c6YPJLPCCgslpeYKR4pIPIy7sTTSm8dQ4tff68lyFqtEztz0ZzTKjQ8vxHT8bqcYEBj8cEED9jN1d1JxM4eSNeNzpGu0F77iqt/qV0ZZmHMJfInX3RkfQNN5nkvafRQ1o7C5BerYivZW96Xp7wtR0p08HzgZezksUgZdbhUo/TbHQueTR+++Yfj48/fH3/6yzcfHx589ac/P0rEJM2HjliTJnHwO4HTEboBYCRUGV+HYtaB3uip33jzQ5zUJatMjfu0Za+t5dv/ESYQ+yIfZ1xkKWE0WgjUtY2SNTuRfaeLAEUUrH4y8S35+mTsuHZm8kpAiO5Yewj7m8h6seb+Hf5ObOwx+6lSCSb5XFM+Y0HpqoZllT7W0npCNTg8wv2PGeQVn9mRSwU1pRGWQPyW6zcK6HkHpquLvEqloN43pSq87zO9d/ZuUIlZt3Muk+p4dzGdjTxVFYGrAj2rU8xXTq6HeInJ9qXPSu9JnyNYeKKSTfN2pehtyUd1Jwy1h17onmz4nNShuSnT3YE93ofnS99h26U8n65kFzvxOHiP5ZR9u4tRAe8XtihRtiafi4c3pTl8KjfhFtJPYk3Mnx5ozW83LBD8tyQSbzcu1HwoHAw36N8g82bfbgD0rwV7NgmO+lFkcYwnXEQ06hFO2cbSgPNyotprMVOzDiZ0UbV9mkaVAnzERa3yNv9ZInAVf7s/rdUyGhBzypWiCnDRHiPwF/3ig0gCTQqtLigVrzw3ev1SxWbtckIB1fxzAqX+kqrEFm/8/P+7xZN3ydMuHd/WHcer75FyFOROPepAZBgNo9F2DLCCSyDKgcEpO13nyNkN4RX3TcOhRoJ2voNdclzq5aqcgdRMejOBnbuFywx2JBrXRZBoFDarHRJZdLPYR2fHivXkXtPK98vTq83yz2totViqSBABIYraTHTbqzhT/Il3yQf3Go2WraBOPD0oxS/vPcoVJ2JQ7SyIqwxt4lIBisYwvIkMwDg5ob6PVCHFNJQMypi6j7wzxgfONHry7zW+IjOO6RQYhVvmxd0NA9KW9k2aTmJxDCN4M9FhjOpEk9IvJVWPufSRhOGO/VPZXeJ1XKt6iPJUnRzbZm6IatyU/XiGSj9KXfUUFd7bwTygipVUvztRf3KmUyVGbT5mE0Y6mzVFRnAqBDQzsfeK4g4R7mBM98UPS5JlLINGSfNzGAR2gvJbm1fp6XXZJiFaKY/tLPM9SgYKS8fR5CcCul6EFWKR9gNwp6Vu63JGljgzGN0U0ITC1x8fbC5jVBkvRYuxEMlMHmNORyTTLyXKZv8J7OpcLTdqZL1rUMt0X4QNLjEN1TzZ4E29B7SntiCKuyCMqV1z9k3bqWv4o1fHi3ERkt/aIhWyButbTziD7rOJgweMV5j39FfIkb1eesh1W9opCbVU/GX+zKR9lMCElWAXXoGXYq3WBs9p/E2tIyW9jHwLNjKgVLP1c4mVbT6q+beewoJ0QG2TXOfU1rVoZBPO5YxkTdYnklp/kmZSjqCabxrbnSpc2ohjPoJk71o9FvxmiipTrgnAmcxjgdWQmx11FiKnshIAqaJNZviXBVRJWqOr5dGBrzg9qKrzEm1I70r2V71R2guXBMs53QfKe41BASdAZ/dDw9q2QYbQuaZscFxo+xez/JGJ9a/+HfL7lMMPHq/o2M7WO3xr6ZuKnJNtXGz52JnrUPzrkPuX0S6A4NL2tyBSVdsqF8j0UllMSpIvQC0Lwn0VsE+UF+NRONW+isg2Swl2EqmRfii7vC1vs5t5kA2xTpOnSvy0x3LdxS2rMXV/k9TuDSrMYxeT4jJ93Rv7SwVPdalIHXnkYz0EHA/NW211PV4Qk7ovhfky47gr04Y19tj9oIgzJEyIl7ll4wshmsHc0efCxBUSvZfyWdGuX+0cbr8KUuBUjZIBVW///EE/WCY51Syx+k5C6NkBfsurYFN3tExnNeSweS9UdEbLzTPoxGgm+tXvuJT8fPgmDc4wENT55392Yn1WIahN/yAclqyIwCcgeYEgVvbLf5rM9/q7/eJftTXGKTUf/DM1NZJ3bI0fj6qBfWXpv6X9EJEexpsEmmiHXRt+D/dXteN123v4+4EBPTunWlqNgxIJS4TMCxKRTytvbZTqMG3xocogooe4es0EzDeY5tGJIS5m51xgQZnkscN1HYOJCW2HgLwm3oTVibxLkkDp48JSNP5lwPmGp5RH2KMraDWeyJG8DYB6kA7/QkCIbJdJGyniB6RuLXUq1fnPX6+4aEJ4VaGof8TWB9/FTZKKA3CB2b9FC7a5KhPsjZc4AOK9YBcFktWU8MoA4nlnm3z83Rb4bMNwMS78wF35uyFpimPVq7okLGN9aSGCvxhfBLvXoUL8vcGZ9rPuriqXsvNmS6sltM4JEt9NracGxtkfER+iMysMJJJkej0rWhFzJCqnEXyiI442XWw1hRfT1JPfriM/J5RJbIX13yrcJvXn51s6d1Tqi6uMFcgWNYXpJB5EqQ/whHL6c2xBGP7a3pz6R9Z+mveZ6hYPUiLjd+JSXvCwOt1FkSnmnTjHeW/l9zHO4wezFD+ZRSFdGEyqqWDVLCdjNRasNtvJsWnWfOB2ql2VtbfaFfCPxGEbagAQfnPNxXn/c5b/ONb7ULEVD+ZfNY7nuq3VAyOrUhUS3T0Oq0Pj86+IFLOrlsGQSW4UvfK0ZcBaWRFsG3RPc4YCC67HD05bViPbRQ0lJ17b5jg9WkEfoBT/bJphbmvbcgftmbS7eDmIb29ShHg98TCv7/RFIgSACt2yAyoLGcCtJu/YSGqzKUbZ8jKZE2GHAl4/XmEAzwCOKasr3ikoIHcYLul7CUqZEoAjfcrtPUiOSwD1YVKUg94Ln+dYpC85g9fhcajS/ZWDwaTLDiGqCIYFz7KA4hlVtW1zmvUSOpo3/SAYrNHJMOu1XMKz8PtYsJwzYVBV1P3wLmZYZ2xE3qzbsVTKrIgFoSrXWrrYFp3LkHl392n1zcvhC8O2yE9JhjEQSr5mZpPEHLo/bse/kzI1afqrg1GoGUv4UjDuaBjbRO4b323f6pXCHq+oUTP2VEErjsL4Xp/znbOnmTpQ5vT3OftEI1esNM11NXbzYaJHfuqDn/akafThfIGTff94DnP4QmB4qCCHMNjxmgi70Sy99coa43F0+Fw/1Ax4j67viv061/HBe93X8cHHWi9E4Lr+NyJyHX6bBHefE9z7+ems2Xkrzb1dfeURiFz9BIJrtdGIrXYNJmEn4kBLZB4bJKXd+/11VWejIxi7mRkeIg3XJd7+6A6SEFz2Th4POc4Y+XnsjbjEiCYkOYU2s2UoaTbwiXPKwpDpf+1oP7CoGgWDRqQTlZJWktNRJ1/EUODYg80+tH54vxnf9K/OKPsIDankpnK+swi89cUVsX2Kt9NSpKnraI42DJEHWFP7jDygn2JyBwlHz+Pxo6HbpK6lxEtGUN6S21uZRx8DQfNn0XARyjjT7A37vpgqFk9l+8990pf9zrblXKmKJB7SrLyMyqbqSazqWZ9V1RN9cQfmsy5McVh1sj4zJZ5wNcZBIAPa8RbzC+OQag0mCh21kXM94Pp9MaYUK6y45RleL1vD5mqLeQFLWMeT1PY2tvrIMqzialfxY/h3pcX+OxOHRGj+qEK64EVaOVQBYFJFoIz8Rb8a/OY0zEiuArIX1+4xvqyQiNNxdtt3lZJ3uKEpbg3tkhEwGM/qCg6757puWl0BjvnNiPvZ4SHD9+BQ5QclsP2pS+aXCVdNeN5incAhsEg72HPXDhw/e70SnV7n/Vs7aayujAKgq/DbKMaggLSKnKVl+C7Mfk+rknIq4bE6hcQktLa9aGn2Z/sm+HTbMCP5/abzDcRgYO1GkoKlr1r+cqPmkhv89riiV7OaLhUMHT5e/SMd1Ekxm1MvKyM8tyhBs9zSnMsuG1lsUCbKCyz58bdqM+1EBJ30Y3GO1MQGKBW+5kXWbGYVG3CMJOGjxQ8jdBZNjiJDhwbrjUrajNIpdqIDwdjpKtHSkzmW7zhGlRvjNcy9m4qVG72fR+WwOf/+cjQ10HqD0zNtSy14czR1EY16tXx3lZ9qyDGRaBwoIaVC3ILsQDjqvN+wfap5/6Hj6Knuj8u3hZ/Gu/aq1f40uBB1eshIKona/oR1HL6huzb1cKpVNEgMZJu/KLhgYwZEXjvodSReL+Dv4H/nvECAZmPmuROuReTI//x6Bh9/OlcycnLeQd6H5N4Qog/I5MhrtKU498oLkTaEHC3AV62UhPv/boaU9DQVnaJmZ0p4wbxADM1ipmTEa5rxAmkTaMmA+NLqa0kixyuCJNV7Dhc6hPPRdkE9CzmD2Nk74iu4ua+Heo7QrHuGklvVlOBK80OumGphrWQterJ7vtosJc9uE7ps5Y4zY4XXdIQS6qHrGwKfw/5hrTYfNLSDFR3t++8maet5t4131BNXg5ccNre2OQfUen5BkWHpcMY5uH0zGllP8kZVuUnNxOqBVqSIrZvN+d7aLX3mDU9RjqG2LppvA3zcpQCAgdlilVBxzl/PZFU3S5tPyvNMFvAhrmmrq7qCCCf32goXv9VPlK+6xryd224dJCw7I7Q+BG613dbhswxgT6aIk0e+XbLNL3NrGJRpCE8BBYGNd7s1oHOK3gM9n3/nbLtIMM/Qaq2L9ZXPStHnzjr8enCFZ6ivDqkZMIyUVaZT/TDR+DZgrk31MVdyl7crILhSYLVTzI8Uq9FCipZtvpWijrtfXSF3YjVey0yHB5nVbwlf5LrV8F4YlfdfP+6c2emOPzq+199hn+wZXrO3NqB7MyboKAN2+sgCHky/pcaZf54ySfRgjCbL7oixlvZiWmbe1whxjr/QzE/vDflq5SvgBHHMc9AxucXuIURlP/xa7Guw0lwnOtx3vmuM+KDAy4sboyIn16MQLi4TaoyIYlBdZ/OJFd11MFm344AO5YDp0vISLFz3kgy4C2ZsRvYNrhcGNw4szjhSHcHrcuvhjgUKk6NJXde+hKCrhZpNEN1uBRiGhbNL6Lhy496jMjOnaHVLcKYuRUGHFJlGgi6YGCvUNIIrN+6VpATEIpAv8mwWMXSLn1ZhG7Nyj7oVCX8gfsl/I/LDbLF9VXO3/wv+wd+AEo9ivEehU8xjL2c7W0OI3sj9xX0Mqc2rSiIKpd73GibFsLkQydDjW2HNK+5gnMmM6YmGZ1776Mf6O429KOz+Gg3hqcA+QNEjH3Zr5mD+yMbNIHby7qeCeI6TTxPGJr03vZZooBL1UKnFlrZ7h72eK2LSeOtyIffxeEYDpAfDnstxqlC0VGO1+iCe3rUtqOTYILkGhlStKPqplZW/ciRibFwHkzEugjsxIehydMfINb3AVx82KqEoTC/HVIcInUeK5Bsp4IkZkZvFKKQ0J3p3gbnkkHAnhVT9JR9VrZ5UeObj9t9HA62t/pf5GdmrFCQHfasg3WerrHCA9N2rGmlCiMvCaaZ3bcbr23w4UwKCZMZAtnbFcRBDUS3D1yXQVlFXAi3WoAI8oQtXuyhpu91VlibDzSdsL/BY97jgxANj24hH3/HyD4L5PeqQAxeLu2vT20Uig70SBaLI7k5Bz836O3+jJLrHERTcYIf+6s96ofVa+VDJ8uiuCjtj2Dg6eu5eAyIppJBaoKU18uhxIXpeyYp57D3EWjDLr4KObDdSokshV06v7rgnISJBfzXN5M0Qwicmq4fTyex4vlgPM2w6v/SjjfW1p15fBbdpTETqXjn428nBZJeFbr/Ep34J0B2V7IiqIb2gfUWRwyNksQifi+OC3l27qSksFZhGUXJg3ALCF4SwEAQ6DbzoEE/A/CrliMYgl9W4hpq5uU6TyPzj0Hbd53myBNRldrK2eUkQt/r7rltkwXLDt89gQk5hpSc1gkJ2KeqtJZ70w/yTfYOYm0Ke3EoTsigPHDiO4OITIWdLz1UHWcr1tA5rFkG/GIocg92kG4r2g4CLQs/eNSk2fV6oaj6+MJ3VXw2QPtQc5fzJ+eq8xhg40BvJbs5MItyNWG342vrdPc6ApYKafOAbbm8Wq5bMmj0cMzefz+pm/bIm9LiOpwGxsE0NzBiYAW+DnQZD49GJqkp4cMH/Vp5EEKZiiSAS0uVNsIbB9C0GZ9gUjwExaccBp/ePTPcgTWzy/yw/cE/AXYoqVWvSLllaZABH+viTeBsYy+CYxo1zHbI1m2PTybY3gUfMtUVIj9hmSsHrZEGCSESYBOcMF5oGa5Im5zicYoiNeyPNp7OZkePoL8ipkbkgzVlqcdyByDOqHefFKdm0LgZnkmKh2p0AKkBraLxvubuCHGDCjbTcB3kXuSPHRDFLCpA3nwlPpZddtg9TMTCUgKPYuMKKSY9DGOw4wb34ktI73WzcoKz65VsgkXSunfo4vaiWlCan3aexluQl30PFXXAeyP5CfP7KVkY432+btFLQQqBuUxyIHMg4IdVEYrts/6/Bm+mVBbskn9TULPkzfecJuHRgvH+db4MXnqatyAso7hGzyGlCtbpo07ySyuW2GBUkjLWjfpN/DoupBDCDC5bgPP8Xy+zq+TS72y+At4g6hS8ljmA7i01dqHIXmzxccsB9jrZqiFAtBOTOgUIS7UpANMRll2S+fCAJmdjUAgY2EpKORoLETUc074n+DNwOiJ8eHpHr4pIijGnaBlztcKUm8zM/xnnB6pN887BTz89k+9ml03WXHL/kzXO8zleenofeT93e4+tTfSt8jhMLPLEFLuwZi92PtzeKHgc22X2iogcsUitOEMwxPzZb+TEk/9y7IwtCk6e+SPfwAu0eQpOnmI66x5DfN9Q6rPaAjjjGgVfMtSF6oR0aV9faVYQVyQs7BS3WMYT26nMIKc1RmNFGM908hmydq8lPsr9ERSelDxxqNUH/0CF1CMP6RI33iIXTBDOqYiZFLlo4aTmUBWgxbiOeGRBzpg2nYMSB0BRuozB9w2avv3bYwNpvkve4a0dSMMe+h/a+HEa7I5js5sFejAG7dBjswOHFQ0p4pq1VPsW4J0f4P8CJjuDw/rjz/wbl7ZutUiEJU3HmZMbH/EKKE3G8Sp0Pu3E+iD4xVnjg2solhjScQrImV5RsrKlQ2hu3bClmX0XlWk2vqcCzAOWjPOfBbwQNLnpx6BBxiSXtKhDm07F2FDXDmDbXI0UTOvAtuwWhidzhFDLsqHi8ItGScHSWoto9FOBiW8QUpZk1W5NW1mPE+3MwvFrKz08ObHP2MnZtatw1DiGMZ4vsBV1vxUZ0UVu8FWTcyJxo+Sa1JKQF+5CMWYmBMU80/EksrJ53j9pBd14Zt7nZN8B9XZaAdYknHXa1K5tlRzGCkzmLma9hF40oxVuVsXapXfW66kIL4a7Lh9K65eAp+xHu0dSq6eCaMoZQizeVRhK8MiIf5SVzpMMZ94GpgV0JzJX4uTazIhuuQYyvfN6XUYmG+zozRXSjFwimbqZJw46GuiyRd2p4jAsDqw374NRddErPNktMMGXdS2ooTYV4EuoduWAzWZ5z0exSgxLWI4hM2oL6dDuaSpNwqRNyFleLxld4GPPLEi1DBpil/dxwZCzoIixouOCnkH5baSYdoex1qThp4S7H55Zm9HBotmwQ3jEYqN5sTd70xrkCtCtYG9XiNHleAvhkkcpb1ocYCTuIWNmttikMEvLEhdoQGHAMWFGN/EAOpAbbGNqqpvOX+f46Sc+bnR8idA7zs/cUGEjLLyl+2Qt798lgwexq+jhOtzWX9oPUyQp7Wx0hZ2Y3KjJhU/BpZvVFHxOBAyJ90wRQjHtBbqA7DdqwjbEIdglYtlsRRf7a5q5hf7R5WwLqUyfVUJtEKhKNlfvP9FnCJT0rkseJFWlLUh97cOVY1LoE+4jT3rMVCrvZ/zoljzECbGYFFmTpoXWhWO1TtJmkki6hWDmDuYH2BkdfjhZgwmQZ1nEbDPdYpsD465iTNRlfT3p/gOGn75rM3EzwbsAFd+8pl8BylDKqQ/WSnBcSiUKpGmU3ytp3eclwLHZu/lpjF+wMJeA5TgWagu0KmkAaoARvAuAei4lwDuxMg23lRtoEHtwlOd/mSkx1QSubiqUt9kDX2k5PLFG9ArjlWx9bbL5o0TBXyJqojCeBXDG9kFdUCPymsfXiSLCBgpbVNlmaPxWjrpGzLPh4tpZECsA4232qeNMIS5lmLSletIykEHSFOZ42gBIsz69+oczRDBlH4QNvqSTYBc9HThqTC8M1rZ5hc5shO9u/nVjSfIyyimzax1pWjixPlyY6QIO+o+hozJFouFySGL/AAXjgJHh49FLegjkEg5eFYPtEDK25ovZEcKtHu+3y3mYFa+3fhZxX/SojO6VzNgSmDqqixF3KUm1FFiFemSTDytfckjUiLG0OvdjRG3kwt1vgMBMiNonwY06aB3T8hEh0/drzcXCSD8GWrYkcgDqXXdvdP30F672fWM3DgsOFAtRNrndABL9m2FEgLMG4XjX4Non+Cds/mygu3FxjmOsiM7bOhdJDR8Qh4IOv7ucEswyutb4kXG62zut7gk58cP8j9yNAdsRstAzhmLuMjBkWyPeNi7VJGjlpMoPMACjAV3eOuup4PKxUf4hy62xmyaz5S1F1WVW6G+ntmOhOWzs66pDnwauqU3PdFkwchsfZfx1kLxfaBfUIB/qFuUM31ww6Fa7fnSXJ1hPT5pyVLkftxvawZZ4t8AvwhC3mTXxOrvmz5Py743de2gT50wMuPTTigVPxUVVw5e2mh8p2qXaUAlBAchiMYkHyPJ9XeibK4I5biSZRgQB0N6Eg8AjNKqTuAPLyiHc+IhGWZbenA1O+0c+rXmMwZnRkpWbfWfsjuolw4owv45Fgd9ou4NtGOCDGx+h+hUk+hCVRWlPRKIYn4JLK/AzsyM5HtpLKQAfaOnpAKM9npAgpRqdEOW5r2st2rbX26k+9b1DE7bjkLl5WaJlDPiOHwUT95Ow6+/3X3/72v20Zh0LBHBGQYi1AlG30l8ds2NRI1v1lt4bUNVRszggxNtZmfbhFMFRgrQHoqyMKA1bBEugZRh7QOLlxHCwifer2R1cFVGNxFqTA5CMA6AUZWWzn972XmAoXD11V0iF0ovsQDVbqB3aRrjMeKv0QjcVHh8ufle8eDMVvf4eyk9mfH7oZxoqmIt4O5g8D/vHQsF/AcvM8VneRVUphbWHKHDSKGjhERAAQx/L92vQ/SFAtCaC6seiiuUW5TYR/97nyJTCsUoWL0Q5GAL7PkTrEHrVb7rLUpMBliuua2Bcf4TMweI/kY+azTWbsqq6rzoz1dwTyj2EKMR1Gl6ohDILjYUG0GzFxWh4ff0NSOLS7HblMRAYS5MRxAauUHz+EIgHc0k9vm94R7BQaROCvVaa4hQY6CS6xDXzdPzVsunV0H5ydnBDNuXLMp1XF/dPp8Sb30OwrXUQGjsXDlEygJPb4Fdg8equ4A+JnD4tN5o//HZldkHC9fhqmjZQvXasWQJtXULmLzSQXd2TJcfHeMXMLDj6PEnQnilLC3kZCzzaytnWjBxQWvHyl4ShsS+Cm89bzyofdsUkk5bZn9xtccS5nwtgPeREesbE64Yf4ETytDIPrfiSGyvybzo7D5iYF+8Cd7wXitSGVZvRygYVTxbx4qKMJXkB9s1uUGuHnZFWAst+kCysal0NlyC+hVJklIUUCnY+1wo7qbUCOpTF/B9O/odLq7ebkWwPmFCZ8ZsAgvxYHEs9g6SSthP6Hp5lIwhDMqeoRVbeK9c7OyWb8SwJL+PeRPx5khrXxe9vbup8FBRgfCfMlghZdfuXEiVuCWIIiHtQhFOi6ESlvfTUqK6tcDMEspfIMtbGUFM7XMHnTJe49EWQq+GBGyu1Dl6TCZWSCBXYO9tOPjCDmTJ30pLqBX0w2QxO/CcD+KJnMxu/06QNWbC241Xl0JN4BtH7Uy7mWvrqkumo6nJ3C2XsfNqRl66QJecpzYuPtqb12Kq/xBHmZAeu2u6oPyEBC0V8gjhxYlQ35cy67ihh+LM8l3tTN55TEKjrx85LPnTnNcQxMW1AMHaTGmDn7rFa2+mEAZc0YvCHkk0gHiXt3UkgUdD9RHf0Kxxq+dDUNsf6DPZ1hVV14jO5yUYeMinTgtki/sOd3VutBexjQp8d2GVpu1NyIBqnTC2RNiCMV4rYIKdQUFfbYEMBNwO4yvp2UkEtrwWBHUVPBXhEiisGieQ+NJcjtg860EccywchHNg6JsnNEkfpRgXkjSjEXqeJoSDwfR6TvLu1ZYKdtiDV7WZFkqm4ajFOylg38A6UPVR2oFqn78CzshnAC/ejqU801Uc9GifBQMM2+VXE0N2rJsszl5AK5Z0GWnKDOS2pg5z0Ag6axYsMbVvFuUlKqDmBm1MZjh9zLBkunNU4Nr9I4+bgs8ieNSBvPikb5RYvzPKKfs6UoSaTJBvxnUh47bYiiu8oEpil+Sy/eriOhPAW2txVTNfBeOD9c/GCRZUwVtcYlbWS4UovAnLZIKwHdAk6YnToUozr8eeXDeF5PFUUzkprUAKMUDdfWKjuTqjub4k5VBWWrFvtlcPSuc7t4NvKceUPZKVEN3SxfEG1hS4KY3Vd7Hh2NbhWxwGtR2LI+jPmFC7lbY+cjK1pPoVIt8Ur1/tnnHsG4dMoxBpJLPNZhBp/ZmmenbvcJRNePrizqnDikQkdhfihdi3xLqlSSfO3wGUdsFFmb97iKLk7MpZwiEqp7ESp2U74vU6vV0FJZKQCTV2/veCDvXb1v+uNDhNt3UJoh/dTrXK60znTMlecJ8zgNRSuxtLmyoktjLAHBnDibItmb4VE5MzHnVVIu1ULK5Wa9f5oRg69+Jj5fjQYDgSZHaAztRIAgQ0OcDfEFGdyHZ9jTnihjd12EAyw6l5t+owGrYUyd5Cz7WTVOdAoe9EvJ0Uak6SpyvAjRTellIfewUnMgfdw7Xf4P3Mi13ArummUYe8Dh8A5X8dVgNW0oYyN0hOjxaLQJSxH4+y3bLfH7TK9mAac9P9QR9NXktpHLJ8rmjURok1PfGchKAXVjWgEZ7oMGiuhydeeUZs0dswHJyeHmoQIqz3G7xCtVR+uaFJwbz23+wRFz6wEZ4HqCTOKygpovKnUlii/fhjUmRvH5fZYoNSSLAm0d2SWXXee1cLL1eZYa6f2X1uZj8bHlY9SbU3e8bgJ/JzQtAxO3vlYXMdkIL0l8A94EkPeZo7fVodvGwCe/ggVvdbWUmzVmb8rcObdtgkA5ue3hz5HF0e6awsgfqZ0P7JmDMTTNbefab31nfU+RYeWxaSRUIoDthQNPGM3nzv1H41XIaozbrbzvGqLMHHful9TbQVcTP0d7w+hIl3UWvDUhRBhXUZpeV2VbyPjo4KDGooAtrOupaAReetXgwe+oGAPIwYoFTij3dW/1mZhOvTr741Z2x+yqgq8IjhDVMfg5ypR6YN6JKIk6s3Sfa8eCYbGb/jDh47LVUjwJ8ky1pTkv7BIzHT0ioEIgQpktbHU0Og0inb1g8twM9H6PS8BZjGgBx7MlXvkp5FgLRSpIURztg2D0U6zj5qYvfrCFpGQUxchegROEamwOKGdmF87NPe2hXVOP5IY+fWMGg277q+P7hvO1bsrlBQh5hO1xtMOvxvlGyJk7Z5YiTCT2CbpI1USvikyI9noVz6SKc760u5/GXM4oZzpSlNL5VMK8DRAkpnFV6b+yKKDW3ZN9OzNREXrwSjqVt7TMol3M7jVLb9y4hiZVA5PJuJkLGoa4mNC1qo234IQ34CrUwhGQB4ZEafUoG2QCyk7QkBigVKn50aiQ1VnAWQdQQFLrRHVlELVkCGEFc4C0qF6SjvoigFYfCiDEbfbEjM2xEnL4+OZZTJNotcYR/Mg0/t3AdonToxy/if41vX3A5K26/M2IpmqEz4yrtc9VTnjKwdDbpHUoOhI7wbbUu/jXvbwAjLWBfl4mPGFjd2rFFf6bkLlWxiXoYdQrZ4nBDTe/zMUbM76VEnk1VnCln0jyg0NT6yI/n0Uhq+27MXu5rZ8GinX7Hs0l63Evdev4sBbHNjd6igRC0NZEEqYqOHN+1+nyNuByM3Nv7Ze7fPzT1RrSCQRRq2F4n+MReLHQ95yU3U8QdSYLzFi66IdYx8xIHxOBn/wRe/oP/qTcx2DnmL0wn7OaMDFbynGBklXh1i26DuZHtxY3OceYFVmkcxPs+I773CYrANCS67Yi4H+z58OgJNYFhVK9c6mr5K9roZ7Bx2sCX4wLoYnA+DYTtgHdhPVNMmnhAuPF9UZS3h8TPmcwtGzoyeDTWWvmDEmwSq1Nk1QcMRjfo8oRgf65pYXMD4EUIhk9w/yaWXIdFYNo1ng2yhhOkyfwOdo7cI5xF2UNLKtYFwORYdPTQWVWbaoEe5cB+4cM/Vw1Q6AUP2iI23YAEqQWcpqdfl5RYwlbcv41I+0wt9I4oezI0an0eZbFT73Rj3TWAAQhrFptZLujW2ErtsCV6z7YXimPbANmrWggDsbt0/Wmf9Yb4EznI3cAL27v+kPBUANIOhZuG6R4ZJU8Me6ZbUsmmMcYg8skpec/S9LQaaBh9LYTK4wruHxcQYpxm72lFThFcr7vH3m5PpA0zBm2W2OJTpgxYZodWg2etyu3gEnFUQffb01i0j4YyHtpVOPMqflRU1H2LydE5SDfdyXmBrPQ4Eth1FhPQ9FiA6wYVPzy+Qb4QBwX6OMu99m/NWXAP20kCT3IFirkGKwTTQsQkohs9oGj839M0YjrFXYdgqdG2qYeJ7GOUKVxHTN6Z5e1xjTYsKE0/TyjMY2msIUf5x5dQf54H7lcOaSJ8EEIjJWn4EBtSGY5yg99aeLinRayMtPFXC6oXJNmdcSCDpqkbou6qWLib+0GgCL6flWbWcVp43Sj8T6zbhlpCbsLl90dDdiv32rDRjH6kZEO4cdc4v+OktEwW2HLuwKrrmiOJNYu51SYdgxN/bQJY039z/d23EzblMJSmYJ1LgUiN/ceGIF18NpYD2Cc0bFpbljggQvYvVkYALNX7mNAcnDGyo32NWjCItHw1WD4EhgRjdN2ZsTxkK90TX9WghnFzpYq27RSf+fCqt1ERFfuhj8jNfpjyMYyAEVbXB1ZDrIv32ugsVOr4cuKN9J5fHZP/Hhl9LYx+jlWueh5cIq2GrIVt/Rxi54Z9fKGfiMU4TagxQu5i/JC8xB5+naBed+t8HmbiLeFL9fF5K8MpYexfblbZYze7g+bftY2dr802ui3Mkcf3Gk8Gp0mzLL4qGeS+a1YrX/eWvxBUHOH+Dj/9EzLRFqcvUs69U37ITBtsVml/04KG+Of6i53h6/1YGP3K4J+y618+OUzz6DvmcUwHxVTUkw4S9RJ/riyeA3wMWg0V1pvYcbO3b5M3OvWhviuXDbz1weH/Yctku9KpFHkKctlM/pCguDNHYUFTILwFiYRKpFK5LerFGyYOAvoKAEDrKpzt6cjX5zkfLAiZrmZ1d70w218Z8yztoUKulketyVpgwo1R/zWCkBmCpP1rjUriw/CFvN7aoTGLHMNeL38Ask1FZBoZG2TrdLVgJK+vx5NZZY5PLItgmaWLbgOQ6YyhaUzCCL9dqf9bB03nxubyQCYzmVR0rxBUlCuiIbt9Yp1uxIBa11CUrgrbT45oaoo3PKhBaNwHlwJZJ3xaLX8vi72whexF6ctMn7BnMjcFWsZDWHlGUu+vTdk/hqkVoV71zZtrwMForjgaskDsScSp0mtYJNurVMEZi38WySnY387zWLRWlAgm4wFRctu6e/kEQIq+fCd2+RN4AXi3ZFzFwYEbRFKj/sP31oPJ/Dtic9HDJ+KCnRkHILCsjGq6db3+nin04hL1T/wc3BCNktFm0QLK6QYAkQcp7OZ3YmOTrqUFxJFe7FLe95Xju+12Mzm+vR6ihUb2hLxQDJcoFGfR85RGCstfZrU9pbiypGjPyRuCIfhllEVaGySea7OHLVzcRG1H1raNHhOXsvyXFuROezlo3s4d4G3Hi7fjPPmg9Phg4OzAAeOQmBlkt60nFLa7pD5gg/wSVVU/bTfATqz1fuGGxOQORYGQPXnnVQFMETGCFQnl9ZmBWzQwhF7HiL3eyYCl96QF70i3EZF+7XNxefqOLfxgzqo/W3rD+7BGvLS9kOGlEWxdwZb9ns4O6+xykCWNSUEml8PpbI4E9lSY/OJJNMjm593DESVN1R4JRPiwniGZF2IVjsJt++XYruLlCcr0bYMg58IE3nSrJm/1OZuwB+QCNZMMMUoaLj+fM+vomuPcz6y+moVKiyzq3SopFeEztaMhz9vMVifZh7g82afX3npCV7dJxNQUFXSx+ikiMw3/PZqxhk/LJDF4VPQChHVXuJxK2AcXTKw6P0U2VwxXwNvOJNY4m+DhLB62k333jErGACrCyvQvR9rcNbOHhu9EDq8DlFNqfnMRHlxWWCUFizN2qYwNicoRaNiosxDMDW6aEcE3O6euQqbW3OP3tvojBMeSuI7zeZTL9EEPQsf1Eu6q8NHBUL5aGBRiC7RfpDaTQPhRSSfsZA3XS5s7YtuRWmXSnPnHaU99KOXHKUG61iSi0ZKhf7c9eqeJlRzto+HG5pK/FWzsf+6jJjWX9Np1ajnn4U5MpSgAtJA1VPHnb7SkqyO0BZlv6ZONNZfszA50xwCUYUhK+1Vf8/cJn/42DahYGzGlcullVOZWj3d5JfV0401kUSXwbSmLr/kPnZeEQ1NAFVPHXf6SkuyOkJblP36Ovv/2IwNXGlKCVSqhcGq3NdWQpCUuO7h0OjM3oriC+gLOhyNUPwfh223UGd8BXdrKT9EdVRGHeDvgisn3aU41RwblpNLUVTE0HQqPSKYj33AoOKPq1g61GM1L52qicIceRoMIHSOwA1H41w38+xb0BQcmPpK0K+J/LpnUcYNJ0jKsORNMBohna5YaVLacEuMO7MGMamge5WkVGqTlQre1mZy4eY5VFWiuSGcSr1pedv3Ft14vhn8eTZX7m25zQR87/CGgbkJJbmjqY9OQ4J/Fl9wfZl97djx/G9Gjspc1NFjehrxSz9N68db3FF29nvmK8ZypK8EirzXE0LLvLURbCXxCXnDe7GyQxE4TeS0Fc/RVP02aDb2XFOpTfY1nI8Fw8Yw4xf3eZNGwZ64j8rSJmPLyLB5UJqdPFDYUNLtRsLd4j4QUfEgaDFXHqQKbNMUHNg5akBYSyRUs6h8CbiEDdy3IsTnf3Qp36eLcaMZfi4s6VblbWH+ULUBfDoWu9k3jxkQfdzgOomxiWWDtCVxbqUOb8r5Hazg/NMv/qnj2aQfq6WnF4F3v2FtJoFpJZsb024trXCYo/q8KsilneUfa8jZRph4kpftn6jC5WmEUYsIBbdn1jeA1dOET+4lpw+uN+Oam5YVLPXXas0b3jOvZZZse8MC+ViHbnb82jIWdlLKW1q3W7p897se41zgrKL3FmxfKB6wRng0WvwDTwxKqp73XJ0Lj7E9FADRADC0gEOhmPQFoeGCZmW2+/1y8PvHceXZwqf9FTrPgmWqnhVwNUmdCZ4YcmFwpCcX6SM2W535rZWDdjOJJ/3N0jl963BQSMlw1i/VGfLFPW+H3qvhL8qSlpKbCYIbDXoMR0Q1YYLTCqGAcVjCy7GXQMaKEVwpy83/ilEKobGB/LDHbMCXz8AFh8TotK2D27ccuwPKEdWqfC/UaEXBqZB1iRi7uVw0/Cgc2rZIWsQ0xR0D3QhMee2tJ39TA4ORd29FrKDsg20UN/ixZR0AhWu9D6EZ/U6EhQBr/OzG5QcdRb1obFyloWSxAbwpjhQYG00RaBLl3Nq4P5LPtZrqoA7OZCTEf6V8fhOhfhhfJ3VIWVVnZGgiWvaPpkLp9Ex/nuaojqqEz6bsKks0/C9I2Hy68WvZJh4cWKCYQ4kWKedYkiWqspRD+MHBgIxlI2iU4cuo8l8zs2fnd/OCl5elOxe8fZcjaiJSQeqnJwOwAoJYPDGA0WrtdkuVhHEP+cQt9XZ3MMJvZ1zZaqZf7oS5sKJTZ54pDKd6g84V1LqwgdyIoHa5Un5zCpYQWeu5HF1F8qbZczP82akb2YW2zAy1ywLDUkhvB+dZUS2QzjUllsCsWUXOyXHDKDI8ut71qU8ph9FLmfc9JLeFuK0aB5jSqE8M6qYVMXgUX28St7MqMSqzTZEBe9SEHI/T+r0cFLgVUutTUqGtyUjqcXrQeMWE7UskdLA8BwHSibbdpuEf5Ps6mRoM24vtR7ObxkBKY+jL6M1e3rjoymNVJjU8MOeO3E3TMgwzx6En+x9IAEkuAK03wElQWp9AD3DhmpYlmBPBm09bxhjcjLGSC45DGJ1GGnmr0CIHccbR7XLyO3PZ/vkRewTgRPH6AWMKQv7QOvdTTXwYUbjYJpzOAJEs0X1oggT0KkQWbjD10zQL3YzRScmD/w7bj37sOz/i202yzh6ckK3xXEifyhSkErStLPiNsuuLKqFmB1t3QFVSHgXmp5ZQxodZzxKceklPrXnojACKzO4L2fh1ZgzwqyTnRG4YpIZiA3WeB3b+77YoTM1YQaBB8jMaH5r+vgoU0E2qlgYqCDePnEFiBoLqKRcIEhfgb85Ri0jBq8K9aSolqqK1v4ji+AnX+92s5342fCkOA6FZarPq+GWTLhUQh5EOvJy6LQeM82Jr9wvpyecFbIS483SfIJ6cT9XahrI6NIJZnsnttUyXBsktMQhtP/SMxQKivVRFoOv0giQ6RtCiVOAFx4l8UxW9XrRS4FU2ayxrrfgKPu3vA8h+MSMkciJnu0EgnZagN2Caww81M+dG2NGtWtgGKpv7cgTZ4XJtZCBFqMRMSzuhtMSQIZy4GIesrRD7ibD4HM/LdWgZ27+uVDphC78mQv04jSz4MnJK2EgWk7XUbOWlZytbuSh6fIAaM76uPIPt6TFs/Z+/dC41mPkffBL6FTWvut2Lh97zITmfrYRT8Cs9mFcqcjksqHvvsBG/xCc0ze/Jej4nKslT67ptgceTk7f2+NimUb8Z8WmOZB3MdSAjfl8CWedfVxf4+7tIa5AKv3AU3S+pe1Y3x8YEJ6ttpESWTzeqRDyUT2zgO0e2YzwCeRQ56YupiS2r16CJDuAZDbnPE38TVrLB/KmbGBzKmGuh+X3BikKo247Ks/WS0I/ChnYahN0WH+nytIe7GsFNnqvUj4l8Tucy1R6asHz4EbyITnSxtezZXnfqyQsIt/xOk+zYlq59vYIToBpZ1BILGKVIoztCoo3/InO3lUIIb9MnBJFlY1QDc4GtOKBWuEOyl5gc6bTuKF1HdUXZOqTkeSgCK/aJuF52u3NzjDpZubliqE1kmSotUCjZxXETuCkuZajiJlR6wbZNueIcNK11MEX3rUsR9PhOBAGOALCMEzaNglxBcAkmbRYGOrlwl0IqSqUWmz9VAUYgvJy30ZnqgTzH+93V0I59FSh673HcR3BepGFPrtXJU8v1gu+5B+/VWZN3k27/S59z+9//+Y9v//0LgjPcSqb9M9sOs4QMMFS7qi8kekxTT84J7hj523PgmTnCJwNGPtuZy9oEfPsqIYf4wBnpdmauRTK+6IgMMDRJRrNGLuwFZu980+lJmpgmEmVY2qxw4x8jQqJ/iQ3JfX3RTWAAvc42orLfJOUKa5u1AcH5D8ywtjofuBAvj6PXUhY0mYs6sYs++U8pwNnQJM4xWDpJy5NC2lgs3BSqQ3QeOOfL532VSSV7n3pjSrFaLO4kVnupOAYfbu7yFnxyFgNO6l5U3ImqlUPX31hLwLJ+CpJLipaiEztQIGr5c0jrgttmDYnWz3T76TdYsV1uHebnOj+BiWE2PlZqYl+zZS/h5SPMupu7PPIwg54rUYlU1OAmKcmuRjKwyx1LKeizoC1h+ca7059mYc3ZXuoKGlyrr3aLq/TryTeb0+oyw+bfHSs31dPLSWn7g9uvyAcmFYhkab734EH3FlQUN0wD6Ia6jwfI133Jl6Uss1WNqq9VuR7f+goLuy+L9AAR86a4Glqiu5nbsITk61uCSWR62+5ZNfLI7qC4KyNLWq4g5do1wJhnU3RxDYCYShdmZRVISh6iTN4akGSvkGnJtAuQyMfbW94JXppn6eWauJhZOyFnHn8w6D+vvlLyWSpo1iP+rBPyDHq08rvEntEth+JFZ+6kMlGPZBBuakqhzxUvy5Ey/+O2z8j8TdLkiMqcYNCue1Nz9zYuFfDOClhw/e1VjibADNkMQMjdVWNQV8SHuirclt9xfdP9CQz2FOBUseo56uIFmuiqMTtV+FpzJER9+8d39C29RK8W0t6cJ0dAsexthNRULg+n3mJW9qkrYTtwrv7s3ssuG/XPb63FvbM4MQ6ti+7zMW4PPx+DqwPr9fvvwY1M8OvoYu7TeHOeHo/3pIJpg8OJW0ZBXKZXpYdqP9oR8blYsw4OAqfNYwUHVm2ujOx+mMVkxY+TYXXNuwjC3jSwdCcfQnaf0r2FRl8xakV70Q9ghYaA+nJwwiqjB92yX9wi7F9JxQcIlnr+Ljsj0P7F6s0K9QAh5McJCmoRGjxK5K9DPaqixwiEYfQDJcL3AijyPxuPrvrwjd7a9Tq1NfqksyHH4w8JPr8Yg+Yrl76Om/IYBiEH462KRCwLJnbvhUkwrT7PPP0chWq+r83MzGCMUohWDHnDX6gYmmfhKnSb2upK+tUAvacZwrILJtbzfWD3Lon86zK6rylEu0w+x5nahospOQqM43Do0fWmOOt3QeA7G1UfDlm9LlbbcNpcWcBfJwPCBCkgm3YfK34fAsGJO4qTFHjCkA9e0Am/buMXCI/peezCPYIvzgTB01bCBerXGE4x4TS9qajpkex388cSLv/uvBZB3exJ8A4gH15teum3Y/d4TkM891YnXuM1aLnsZLqBbVcRXM47yQgrCbXGWjVjWIv1pjV40KRnYJRHzzE9rcHHd7iWa6lW0W2SGneqhVFYNayQfJyoGi6TmeUQBrPNz4pyJOif9GbLy2/IuN80VaWhAErkpoPHwMimlJjJkpbEsfBebQ2CDWsN1gfLykRGKU83LXVTcLjzZ9sorYdrZKyedD3+W5lL6JzJzmb8PA1wTnPxZdQk1JWzPoJ1MTpfCPQYVLhV5o0k6PMZwy3ySkUlfLzX6xn1oUJvZiSnOW1z+oN5Dlpd5aY5xZxaOqkElxjF470cc/O8t+Nxi2GV3PZURfCeLYJ4qX+FMYv8EyKLZyCkmaERLXAFVU06AHKn0X8BZt7A6KRp+LlgXUreDeIi2qd+UK8h0Ql3/866lOeR1/7RCQnzXDj7KMNfs3fXRfG5eL6jISM6MycRNaa6wWapnGmJxOwPK/y1J8fCKE7Pz4eVCCZrhGk5Kr+P1WSt3JxFHJ0Y+1kYjHfc7G49LmaSWqmjWw7JVnECpCnyImypSbvjRBVF9n1Hys3otqJBtCHxUFnVAG/TiH4lEiLTGsyfu8ix6kDRUHrC/T92EKrZq6p+vZyBUYKausZE0xQha0vgypNCvLKIjBnkWJdHsT5GD2BAtaWjyl7vuXiAtb9t3h92hSzmU0sWP3BMwsZAphShl2J59dNIxyZe9VKdNFcfd9Tc5OurRKNLLWzEzI2TU41bgQnl9POIXwZB2MCcbi2IQ1FpnwU6cQpRSA5W2iaZB92WN51azkep075HnHGwi0D/3LuboM5yLtj4khH6EPY6SQZiTR2GRKlHGGESYsFWxDwfwRARsehulIGdCSAfpgdr0RN7nB/puL7Yyx1qhcZdlJhybt97YfRS7Eo4THchOB35CqkY4haXVnlfZPo3Oyg5JcNVkjdw9wrNrhV+SyHKJlG2yKE+Oij8rv4vEa2rzgZKEW6FDW01YxPWQZf3a4gc4h9uzqwqe/kB1ipud3D0WS+4tRVAOuVkVFBulUzrFAoi34aoBAo2f8fkfr8nZPtdHdClzCHDevtfhww9T0RG7iuXzRCfSw6Zp7ceLG3vPDCjMMt/y1m83nAKJAfXgY1MO9kBpSU/t8Rorj1GveWpwcHNTXqET7hQNCVHzqAPpdoDmYWk8bkXs/fTNK9VbBMMnDXCIsiPAiJZ68UfuPRfJ02bcIqkrRfPVhpkov6gqAQ9bnKelcoPpKdNsp7bM7D0FAWFvRcMSx8M/71CVwRnRfsENaNiWMQHTNoIKS9saQB2p8Y0HOsJenaMFEjVWYJ5A8OMX6KqPCpXmvQyxtIF1hT+xB5gh8yGL/jBBcXp674KQzUJpqW2ZFWu8e2pm/S/p8in6qJqTEVBE/v8UiECNjr8Ps5vWjE/8f5KHWsI9wXc8zqWFSjff49anulfNzEQKRtpGZg3ssyrL2kYJ/QLQLI4lFmoP+o1Rd/Ua0QO1+Ueozt8eN836lUyoYxIGJQoZfm3k1qRZjmr46wlS3rNtQ4ruPHIk5EKT4UX6xagO4GLZ5NHVz/SX0T1xTSl4To0aZJQSFRkGn4gUnqYxqoVsR1NtDYBVfReFGFvfLKgXaO8KLw6U6WlV7q40ltizbgbNtahb50R3ibGfjJSlVi382K0xuVaqsmF2JK/Yo1NQ32wREg2aJnzcuLdsfi8NVo99xGmFPSJZoUTy8D/TU5xl4kveiRO+WfSkrf5beVnXtwkaGCIvhzdP2aVpKbZSPYMBcD0qzTcZNnKuqLtxY9Hkr7rMeQHLvn1GrLB5vBfvdZUY/B6L4PMC8bo2jw/ZO0RoqBE7IXAesr5DgYJhAaPgWYja9aNFEcmtCA5hiGl22GWTeRNvSpxrP7vB23mHbTA86koyC1fNgX/a3a3WfCOqAbnaNdyS4p59UZZDL4OgFVZjwu+jymBlZW9nrl9A2sRTfFhdqFh3GiTIcxozaVISrkBjXpI2hlIwhq3oU3zBnB7QvmciP3T5bvngbBKCTC9ym3rYBU++eGh8vBgr7ubCxolWvtGcxKh/EbceMCey6RUHpfKUsyyLB9wr2Z1NaPTfJL4UmT1FbjK0cfTy1h9on/iD7GikbRQqHNUp99OiClshPp0s1REVx2dmb3MZu1uISVmSOWhZCGZrvWnvOEf1T5pDZ7+vdt0keGGTkr39JzWK20IJT1hh/HPebVBEWYQ1nTnKyP8CsSETzv1XZlL9FjzpCwwkB9HJMlJH2dmB59nmFUv5vxiuyGVGjajpIv84DEJ/VJxN8zh2i0sB8uIYs47c6DEHG7u3aB2278lIpf0Jvz9B1VmFQHx8WOnipxrQdh4jLayi3GxcSV/x10E3LXN5GPcDX88I/jocDegFVkY9t/5LvTUNnEXLOHTUyxBiD/Ubk4RjtNtfH8dAyB9ZMlt9rKvnsGgAINN1jZTzHAzY5JK51sXiUv7cOvvimg8F3KPa0juuloaQ89f558Gde3xKg981qCDvWPcL6MZcB+RYJgL5ct2J3dmiCsrURmoBs0j6Abj6lzLxK4hoWHanlyTF+JnWOOU0ssu/BUcr8b9QwJpVm0133beeRUVYk9b2IdPjelN+8SpSetlF98RZT9KtRIHtfI+TjiH47Wr6p7UDqepay2CzzD6L9epMrFIBij4NlJvt0XH3CO0VSs5s3qg2rRkK9YVIIYqMyDTwP3GvNvkSOW8plwTUpo7y9XAC6snET6z6XhPePDpx2ZIEoUmvKNx+wVPCSNRj8ek+E8UnyrmuYSIqc/qdeYTAttE6Bk4h1htDef3CpuVNexgDw+PqtWilZLW/19kg2WMtVoX5rQwinz2D6cmoDYuvWzZ5P8K5hInLfw3aFNHPX1wiQA1o4A+On8lNVWs9iM1tDSUPrgaWtBYGonMd+omfodwzOSFkx1pbt2bmCzMFXwBGjuv7BxiY/NdGACjkH0uhKyyedif72p6ayjXxusyLvmW2kswBpuTdUL7aBPKsbJw6F3bBzVQr/Ug5DsKqi1LZTP24F9B+saMnWPKJLfcHelW3ikGsuMJ9cIkhyTc/pcBmayoCfaT5r1JVU5sgGEiCoCAOvOnVA2x3AAcvHHiONMW/DqRGp7viEkCRUwqOAUN6RQ88YqzgDs9KmQPrggzJCbm52IlY91ScyW9Ld7nmT6Q0U8OJ3cFkixacNwdNyvI21fI+pbME7cK++P3W1WUp2Qi3V7JgiwoHkx8T6JWBEwa6pZbqYileJ3FcovaegT0N7X+lHspBIXlEBTOLJ9ZXo4zAuSuui6o2DY2OoMrknHZnzfD8j5AaDFKkWjPUu0xMNKkVoDadLTQFhvq+Nse36pdIgQ/jZjoVSyNkh3lZtw/+XIiVV9oLQSQ4bdYM8N1slvKmXJrCq07HPAoGceHGHgHE75xBrnG5vGTYeMtMaZoIz9BD/wK92PhizOO7VQ3YpBS2qKExvhjfrL5Q/4rBMMT2VC34nHWp9Ivx+9ORlf5BiuWnPOxaYFII1DTBXM9Sq7cIERWSFi71lHiKAFS+EiOD6EMfOmi+gGG5ONCd9QgILRHrmpq8AkUqUYKf+B3GxrAFCEFMZd/XTPzdqNfHtRDvahGCYaFbjVBdt9zHvTGWKEQs/0vGFpk5fQ1S4o2piN24/7DX/P91TiAOPoRLUuWpADIixw4jFA/iH2i1g1DTifHMsPOrIj8+KzfkdV1laWlJIxP9vqqLRC2t0zwN2XTsgRzKmpNqFHh5hLp2bGNAZiMa9hc3tAIg2S44U16VqR8ZcaY0iFvrRfEvMBEZjCa/bHSeHuhp5wzI+OjXjNpHLtNEAA91N8d2AbJvLizQy4PkT1FGOSInAx7mnLu9BT306cYY5MlnifFByXwp9GNafWVNhfC9U9auaiWWLNLUEKO+vYRqwjHZkz7Vmz3YFMjrZXLGh+MrPelY7EltX6blb1O+us2YOeJZqjFcmiCRsuT22UIKor+tQ4fpgTcPuAnQuZVjGCIfLAD26XS4Kuc+1I8kcYunf5QxP3Qhh/c1eYGuZ4MBlX9P24W/k5p9Llm3PBhLJ9Gr0zQ3R4/uinpGanCVcSblngCdloUJIBODg92BNMxfc/QADxS40vekUgOkt2a46XGkLYyixHb5uC17XtLyxoTe3iMDW0Sm6K+V9ma1beqz7ilUgnMS6vkIyrqmoVWacjAIyacUROTMAuYqY+dvAITK6WSh6l3Lkm/VhX3BdTWNfq2znmO9lj4sshMgYDaQrveyBymLRrZNly66hj66dJegWSX0+zV70uyUiPTCDKWa+iBNfBfECwxhDWG8SWG98JG5UPcCmeqsXhZ05Ej5DWB+XCPiVYb+V3cSD2qnZpAYRLygvtqwzA52OW611WeQA/RSttcux7nuPXBAF6s+bWTBJh0ZlpcQb3+HAaBzMI5Ije2i1cGXb9Z5r2qGr9ymw0y7ygzZARpLsAf2i+ZI3jQg3tEmkcr9OKEV4l7MFLQztbu0lwATXOtd7/DDSdFuBZivKoWDb+MBlAVxsqmmUEDbgZaPBoUjH0iHI5TDDAznThdFhOmxxfD9dHXF2rnHDBL8m+FweWxoUBj1S34aFTz5FJ5sihh9UW3hosQlsvl4cf8VZYxLO8eqSRzutw7VKugkY9dXYnqoK4nL4POPFgeGWS0ncfprU7POXDnbgtulWbVQNvJ7Rxw1O5NpYT++4H9L2NYnhrRXz6I9I6mp8O38jRJF5kOVj6AwcfVYNxvvYFFGVh9b4kmB8P8bWEcXFwwTkYEoKFytukYq/qK58PX7OmPw6oM2ffdpntSHK/2ONHBkrfaPip1G4RknwimdpbuUSU6mX7Og+eSypdL7H6Hlxz9x4wX26vTlYvhh3+yj+94va6Eh39q88T9uLxDoHvwo/wQXj+M4KxWAudgrcUjragNCez+ABrrludPYqOmwh5XpHrucSI3Hv82+uXRma/Cfmh3u8Txzxps56SDv3HFkku+bOLTZQpvydzlJgzsVz4fxGfvJrZ7WyIqTx9TD4fpExynvx6exSvz37dN/hQ3j9qJzOx+PVdWMOsT4SZdlz8UePCwLGz720OihIywlBDM5+vz6Gf4L6CX3iOf2YXtPTzA9tcmv066Q9TOfVd/fe1wUPpHroMFNyv1AEBXk8Kg4WGgKIc80EePJq0ry8DDoEhuLPBRDF+hD4WggKinJO2wa5+bbR2YNBc+6GziUHvMXm4uEriQiuUONv68llpqUc6tNAZvvQpPX+gDjbSgXvChiHmcnH4NL1YFUBVxE/SHSsZVbfoL0qoM5OY2Lcs5XvfBXk0kNsnCmo4qbVG693up5MdmEVdQVtVrls6w5n1pmMuStIJIqp51c6NEcxnRbAfuqhpofgMsvP9VyuJqPNFw+e6BoGNtKQXfM0DLXOVHLYzfSrPBH73wW8cfd5VPfVdBJVZh9qQLv2i4mRs6FtXfXpDcK7/Hv+XlU63J7drx5LvxiWEOnOXZdbngKz7qfFHHbNd/OrnpEi7tMkE/cz+IPEh9PXQgrZhRIpNAuxOm7I6zzdvWfl18vuBS3VQiLpSDANtwL9a6IjKt8SRAGKBtTYwSDOIw5453UYFLvHpLv/CEDU9lmlD+TIaXvfhyM+acgctZqwwD74IDpVtl7yDBsBNt0H6EU6K/VO92AGdL3H5rd4238hxaGFmNnaYjQxu5bdeoVS1UD5vSvel63vKMXkVGXlAyIwM/pvkBStcJyU56SsHF/6y9V7S+QfpZnVeitmXAz2LPKx5TbszqpM/NDCHLrGddff14M0cG/oXlT9WQvvdx1bnfzz+BZxdfiYVfcx5t5yAu3G3+1PnXc4q832/FaTsNF6K8nVxt1MowA4YbYRxsZmOYwpyJukaE3Fb1wRPFjsTV4CjvqzsyhcGAUE4lOnp1BU1/drD7FDTuoa/DmU5EhUiQzBXnaBItGhCbk0Z3w8fo7hdzKn9oIlxR1YDCpNRTQpU8jnf/KEB7qv9bzT3Qze3p93+wmwefO+Bo5Gf0rDoQylKlmtkJqRJZ+6LtmCFy+Mh6DS8nNGqvZ1ngN3G18rFSPFOrlMw24V+OIY/R4j2PfOn528+9V9syuaI+SWX+oD/5qylyWyC1K0uKMSegHmApANFHs1jSewspqxxExnYuqKnMJmgFDuxuN/CdQHQFz9eFrxt6QgugVBhkf2jpDbJPjzTDV273f1/jhobBvn1OtByg74nW3D4orm51xLxOFRec2Yn6fg8+uPGXayFFujK7ACgMWcP3shpdTc+4tG/56VSsjoOGmgsAZofHRGidylAreQq7yEtK5rbBILsPW9+3ikGcOkHacyu+avHQSsr4Rnpc3EgvUUKBaVqDwgM/7XY03tl+wNoWdAsi8f1nO1npdLOkJfrokF70IGOWViKZwiVqBJpsgS2g8oq1zhzDuPQgdBcUizmR+FDgLJeXH9hsCdPIZpH3McHPrQcaRG8rnh9ggoI9SSxMRUkxWnVsPV9Oht+/jKfV3I/5ckEXqS+KYuku+kLZZnlkQx0l6MQzcWxp9XFOvrMZXUADm6M2BiioxkbujCTtakxpf83iVahFrefE/Yt8nYMCVGvD40x8oAtwPlZEX1pATlO922Q6XmDIy8YPC5OHv9rj5Pzvkrn/n4wH2P/b2bvl9u/YoHYtKjgOMsos60HWSdv/3mEsxiRbITaptZZgrg+R1rexOJHgL+GF+XjpwsAMHf9rj2NnyGzbbGYaNAuCICIXw8eNdXP0bU79il3HmDXxY1CI8TMr2r9KID/EuxHCjF+IEL9Y5RrruGJZz/Z+MeCdkZ8/97MZaLmxaXNRNvF+7B6IbLe+Ms7bor0F6bLv15OcMlrqaWy3XOrDJh7xGAWcKb8fcV4MPnWjE+dgUrs1JUMk/qo3sRJClniBiDtvy3h/dXOj4/A6MZef/WOiL7KJJMX8GT3G7ezJtXZGqjY5vvVL79uHx3AWayq5XHF2vILPjQW1UcxZNOskaBugc94BVw5cAZcMUErMrVwXNXmYrqNpZzsu5l5hycDCRocgaFNvtzcBl9PUGZAsHk40Uo5JPPlubgw5jUvvjWn26bo18pHARvIH2U/Atof38/9vc5ZiBoqIrM13pN8uICRPu/unXTTszNMGWhs8zbx4v9xSHN5dzl3qd0QO4MqXjoS/nsmd5/TnveaFPlvGld/OFsSMOciqswnnh7psHNcmm5fObthpYhxDA+5yd/Of8Vfmv0oEJnaoOe0iTxnkuoDOBAoHvc+MiEux5vonXp7F9h/k0XoDRPpbrUPorGCTfZ3KYQlXXasMNS8hds33AiRFh4rHi66oK5NlKcmNwJeC2YgAYyeszCpZZ+Fyn7Z3PdVUqd118Mh9lOFatx/PoDI5XblEbCmheQRAe2KAgk5fbzp5hEuXhZtP73bZ/4jk/0ctg23X9DDestuDsOIVsvHElf8djz0oUS/Ub6oqNFkWE7QErxQRlHBL4UPJ63S1Poq/TDOsy5I57CA/7sOAjqVRGhg1X2axqF5wCvxfirf2NkcUIYkVCEG52WJAkC1yBZayAnmvRQYP4GpY9vMIXeAg8NE28kpPFTc4QwVfbR4rmLsHJjrfNruDG8HJFDRhIH2hmpqpKPEtBe96wrqrp2IAOth5GFLEBDGhhSRnbpK9tR1PUd9qfX+f+gGdD8dFLgIhv+afn7saYx0o8bVewkC4XFtyOhOnHoN0KpML8Egki2K2rwH3NYQYUE8bKZ1w0A8g6kWkJ63cODWKf6VPbIrv2rln5Y+aixkVv1lnq9i4i5RU392myQ+Q0GilrG2/WVFV0FRJVWBTZAONaa42E6QZDZV8o7UW2tuTu7rEPT3ZMGcCAwQ2iBj4A4bpNx47v3ONV5xkLGXlqJ8SMso3wBSN4gJjx5vkvcCIyVDwCCmC69BppKxfVXALj7oZgH73loyL+nGq38L/NinJIMvuZMILtyXT8LSF5o7kK+hXlzApdWGdPdP6m4Wy3M5jZ7DNyEuImdynIJfS+VSeT3R8uttEENam9butI4Bw1vnq6w4eUFhUi1uZLxXsgYBHFOwdx7cKoaaD52uFWB18B41XsWBoWIq+/3qDyD+EQf8+uJ8WSI805rPvU02dkHXkhe15t8dah52vdJctaFSzHnWeDg5fjEMvBORIm8JGYjtrghC88e/M+Rbyx5SDa67HnA/+pB8dCJlj4h/GX9FM30dtdpuqCTIgyy2DxMZMhcSeZi96tcHLtdk562mea0mOOwejWhFqbwNevSoUndmQhVHetQqLa+R1utLz+uYyc40jc6FMDhg82jc1ycvAzpExsAwXYVP9UkvYcGgQg5GG+v1YDM+L9L5zC9PrxeyzmJCtOJHzCx45fcsjPd1YEl331A6dd3RjK3+xF2cQQyrsPl96oydqDQzuk8mMSrZ1S5qctlYX0LVg2rjT/beKhAUl4QIE6L5DhKpmi9qELxMiPtk1p5GzPn/NluxEr3n36a9/JL88dljzVNmYL6EU2P7SnTA8PZK1XDgPG/AH940Vs2To14CBDe93R/Tp5av4tH6XzUyDHp81GldEbXmSpri+BbIYm8n6VJV4nulVg/tvjWg1IzoGRDSdx6egyx2DcjVB0iCZBrkGdeq+SYltNpTGb3sSmr4DqwUKmSaJ7indC6A+L4wtP7EA7wuCAVd1oMiHYNdXh7Voe/pXXlIuEg0ODoW8iIHGSvA9vVCmjGv7BmtGt3kEyGJHyhO0DqBPNWyz/jAGYA0izYieobkqR++Vt1BxRclTncMGukuTioY9c6VobuBYvTNRmAqvJi7BOff8pmQDCPVSo6mAWB/DTHRHVENEW8gyOzsQgX8/EpKDbTM5zEpvDbxRg1QG/zM6g40bgOSmEdfs6SaFDckb+IcIwbZXUkFMPskjBNsDgiHS6ZPypRqm0jAeYRK4kJdR30G2SE+8z9btgi3yLClho6Up5vWgc6cWJOYa0m3GxCI4ofexBigFkrTYsG21xxp6bhfgx0gfUbKDB9eT3m8bqN2ONmZKc3XvewshUtDn7vKVEEHoZ1+dc0cUMGjn9Zw9pSGR98FrJ8gClvu0Dq7RC/O3+W7qP3MuO7QRAdTO/8ItnWZCvzTfCa+WLmbC4/yHOk4nr5rz1pe6d3S59G0q1q3/UGtf++M0ev9qY2r5KZhphNrX1zp87aV3bB/i6GxXwfevulgjckt8Kc2fwKBAxU8ioxrEKMRuaJ09C/PUUjDCI2R5CXpXhRgwWmjHVCvuznOaOu8ijPJBSQh5PpJccM26MMF7kn+NzAuTgmU+8SlRJX2R1xV8+StweSS0sa9rFgUXHt+1T/esCribH8twWd0Ujj5OcltKlQ3L885RjNdh2F0SZsFOHP0i681n7tiI2qJLy+W7Bj2tR1EnWU2kVIg5yN2ltnFzTU8TqvoSYfacjEAdTR4LooRmBHlm6s8PhMgHASKYcyqtUvfDFf/fYvKY7S2rrKmPr3kSc2ukGGu1pR24wQAgK5mpIYVfbJ7z23HBm4RtcpsLnF4ffhHy6UqgAaR+yf6xjyPnIWfIwoX6Q9b4PJWdN0T7IwM1zhdY/GR9RJ9YmtK/zKhZB9l+qGISyxxYPQoQYi1rIP+yVeYowQUN/wuiQgl92q6NQcl1nyucnwiolj8b84UT4ElniPVczTYB3E4DAc6pL8yOWKCPSSmf48TTZ0BNcoLiODyybFfFAPSvBnlW7TRzsvFrnkCqTE4ffbEe5geYHBmjlIYtNPn+h/4QnZGUnLdSKJa4tVkQGbORliiYkBwZk3kdadRFm8uGFgK+mim+n5WbZkKaT2VupVj88JgohBS4u8L3nA5i3ygmdBymRdK6yFItrEnIgsL/9B3kFt5xI+Rpfglqy4PlxJwS14D8rYbzSPvEBjePicCRmcmLBcoMqKCN/HIM+fAMUk0qObgaq6zRVKIUirijJF2UNZy62p9wEsfdI71stISCzNBhCrH7UaxZe40TCm5H3574UnFQzET7NfEjEHMP6KpmMA+Ugxg+lyAzZBUjwmMddmw5syPE9Cpah+guqnsc6M3Oap82kbDnkfaruqPqHDo7xz+g8z+1Wu77fVnCoiLfCXiwih3D+wJzqVR6x1cOc/RYwX02mJoHle30r9syrDtj5D3qCwqNi+Am+n7up0jEBx/tnf/+3w/rzZKdnyEFkDhRo8BBQRO3qUx7kxGdDK/o6oqFlsfvrA6d8fV3IpASJVPQyweCV4qagipUqKtvh+LzczqsN9ZwbCnMXaOYVtoqZZmLQvQa+YvlRsP009cUXsHTKVrOxgWbVccQo7q/XAv2UrECCUtXTEdmyCk6j5gYVPJ8nkIFi8NAaQMHuTouWb37P9KszpzIjB/QbNM/pGBZI6LOy/SnvvCLkGwqIkgXhXmfIM9MyRyBNR6eIZOVhesI7sdSHGZ8HIVhJnIkkZda3jH3nIQXU6R9TPkJeL2N04JsxyPJln5san2hNNoGIZOZ2VWDn5SxFl3Wo6YMTXT7UoVFMz0zy4BjpPjegGP0FUY59U3EDTkM5VT3B/oh+2DV0gEOps4Fida6feD1x2RImUqhOCZVvqDX2ofEQ70Ldy+Iyjxtt58q4hSTEiw0imwzus7xlptZ80UHx8Q12uy3esqXhDKAnkIP2DYxTTONxqvC2P1gVOHo4VHunFpQGC6WfMPqQcGd1DYSTS1LeBgjIl4CTTx0HNA7dFDltSUgQbiza78E6Y4s2oLDuWgNIR8IQ3t3YFeC7TNj6pijtutWDe0vVUHV0Kka7mLOGizuVuWss/1jnBzb7IiyHgFgpU78Csv0VYM/xNZgMItuS3xvX8RaJKvooTxAPWWAOynvzblH0UZVlhEOGIRuvtCHDlG7pSFTAw3rCcuckN02lvtKAU/BcvzMPWnmGNPxuRj7Z5qem6YZkXI+zc1qIpQfKVpvlMaj255E0WAbS+HGhM6a3jLDz1WCreqkWiQap7fC1qqZDjCLsGjhxTsGlJcCDzW/2vgzn9Bc+fKaMlD+Hpr9X033RIPPu6PSJsqTKhrU3ayK8fw/ehV4hjKtklxT41c36l89+mdp6mj8yo5f4jmDIecNWZrWu9dYAXUvG0lef/PwsTYhtm85EGV47Q4Xt6OXTIT317Yi8B9F6+1bGl0MlBzb929FnsB9k5OaCzRaO+Qhp3jSKEEsXFQsQKziMQUkDUkMLSAZWOUuIk7FvCWIfWm7Q0b633ISjuWXhrnh42brljXl44Tq3+NY3ZhVh3g/lgDcNT2Ma19r18T6Fbg15JJVhGBtLtDHyaph7jttcfhKdnODO7TM3G/7tq3tmO9F+RaQZ99xBJ+1rGpKSTqeqbJaAj+boeQYqgbAGOG2kKYrIX2pg0ZdtH44sZ4erKeJ9bShM8xpT2cSDUYwjMu2vKNEiZWCLawaKLVnqRrqG1exmuvGeZ5CEptKZ6CbAH041sFJfhiWCwVpcglp76QR58hBm2f2p4y6abTWzaRkiImmYzSQZZV2mdJEgb6tU+1d2Jww3VHxg5W5zTlTPZF/UXFlhd+MotxX4Ykzzr3qflY6NVIzqq0seLGeri8qa+zLb7do+7yUPO6x4tkSSwf0Z1BcCh5WrD2qb/Phhezi6xAGHgquYYt21f3x339lGXMx1LBiqOXEUHNpdjB0Id67UdrNwsNisxaseHH8y2b262K7ov+DCvFqOb3RJmB+1NY16gvEH/78kboRd6L9ZE/6fziyYXDc4Xa1ggWDwycGtgLw/KxPF9oc7Du8bjQzGmL7o9TRLBrrq3CIIwYXcfMp0ICO/1d1TcxqxDJN0GpJwyDaY9+NskTOuaGiPGQ7rHk/4OwD9pNzs2rT8zFDlRqwvgWzKX+aUZaRGt/+9cRSkjeyq11eX43/xl6u5SIfBwOfJs2TiN92M/dnCG5bjvNVg1Rpa2nUYfMZhiZkfcIwIpp2vVV4PWIDVPfZR2yAITPmOfsP7uMWvlDpx/oJUuFg/PDiAjweJb11Yl9HG6vSODs0JVxzDOVK13+AlONl+BNBiXtXkGsxe5jpAIHp/FAe9Mq4LH2EywPRdTAxX8bAMJqoyB2Ug4szT4l8ThCepv6N8tUcVH0mDlO18QKZwMlBw5gcmZgReEjj0NzMGC3wtqcMcZAhpPjzMF4ePWzH5xgiEJgwFOsot+Esl67rfYNqbYAO2ugovQMa+XNYEWqMMYzjCMpnaFHiKYOo/1j9oEp4so5UGeXmeeEmMPcJ/ISJWTEIuRtObt/Om26L3yX58gVIhQRU6CNSQc3PbzDn619f/vXZvuPF4y/HKkPxYRJKwNElN/pbatwO95ivB/WT93/1AFuQHzzg7QNv9/IQb43NMF4HXh1VodbBeSIobWFUeGA3pAAjwEu+YDM0WiT9wQfWBaO0Dzqc4lJLoMf+eZA5wfpU55LG14h6RLUwsuFpFqAU6WueKADoUSqgqLMBcmlGvw78cYzH3Fumqq6ivtQlu/nAFYUvwfYV9r6dLVttxSmiIRANj1mIYVdFARzN/fW/FPz0Ot5hYb17RtHbtvNpbsK2ytHRa30h45NP9+QUCKu+s/tL2UdqB9q8btiCVEvFkkiN5oBsmd59SiwPtqG4nmi9k0VzWSOmg+YWyW4p6TX60zapVOzqbpK6qkz/EncHAtNBFgMWtsu9ajI0LaibOMIwuXG/ouC1jh19fSoFhnVrNK0usBFlwt4DUq/W5ejep5E1KKwGawZfUMNQ+LqZwl/bYl0ED4pp+QZBnuPW32pX7a7lrBd4jgrwfA1TEv9kVcyEDN8GIAVRv9CGeBERZFYp+UrAGzqIaNeliU4rcFKVKjRRSwqlkMZrgi+i8MtVssHrXAGXHL6p7363Qo6xuJopf7kepNtA9tIWlUaT08GiBEmzhEyzq010Oyub8EUtM4NPrQtpCVIrSxBLCHdt3NoZHw9/3Qi28wLxImRqwTrgXFTxM5Lt0X/KG/Sco2mgAsRX56AxHjknGuJF+erA11dLA6bn+6tMUOCANMdDQWIshQvEMJ2XEEg4KgoHzHuvTxmmVJWSXT0urimWVHhFQVzX2kNaXi09LeCzpcU1nkFXrr7bOzt5Z422xK66Q4rC3oLbhJba/0BgvAGUG4WT9UJH5mOiAOl6VnQlI9ec69XhQJkbacgG/dFO7b5dFwyEqxEMVzFpPPFdqURbox14hI/VMsSgTer3jNIrLkITqGsmLRkDVk4GKva2q+95Lrnf7Fbs/KuUCFDHqKDvOH3DGcevG3l1icl8oyZC4SAI7u05I8K8MfiRMlwD3BLAG26a7iZTUI1WeR5nHOk5bvl16P1+DfcvA8Pfrxl/E+Lf7jcOX48fqcRGe5X3SxASUPdZ/P48x0zgoDQCTn5sEZgXlOymW/g78ppm+gAR1AezfbPIGE//YOy6bw7Rfgm8eQ5Sa+HArbnKYF4pfdB3/FNhTMGsVB1XcJiTWhC0CYKEhd6ghFfl0+ckQnPmxLKNWysjGNMgHtqmB4gdhckq3IXgRQdZQIQo8NaDJKa5h0E8EQqa+LgiXDTxopU1o8/ZqHll4tHVCqUHKnztBesHmXXhVOG65jfx9u3dJR9W/o4qe4suHT2yOCjsDJYrUNMCwHzx8IVyB7Y1XaVYyekWGvViMd9sQmtLFQ0ZvqlwOms1gx+lFXoQ42eZjIc8yrNY+PDlnbTXNU8+zd0XSfa68W7nreXcbj3aNp/VXKE06V78QX0LwWxQkMFuiPnZy7jyqYRfCVe899qyA8jnb8QzaXndUe2mHt+/SppqVv5gQDS3WOWSXIVPo6bjmnaRTkbU1dPQa+bqHSP36ZqB0yV56lv1F6RRMKZAvrciSd7REYFSw7b0BHTjRuJWbXWfAV9hs0d1Q314mxDVJxIV7LH7o06tCpLKC5bDcJWOaBhhWC3BZBIi5qSQ7OZ8WldZbdpORr9xtRwYCpkBUc8sgQNth3meQ21647AaLS8RX5O/RpKHXrrojfmLYDcZbAc9FWxHyPhLbBhLsKzSSdVgfhuqdnfnKH3bzb6dW1TicgPLxzDOq07Kri8BFBhLUa41dGNlgFDn4EnJCRKLwGKKtmQCVItppCFz1vJWyc/Oy3m66JbItZnhqedBj6B9jtIyTY3noSuTAQbVkAKbm7zobR3yyQJIhc0K1iyCE6rYO5zQ7e28agakHaHs5a0STnzc+S1d/RBGO8Oq65604flLITaidxE1IFIFRjGuqUqTnNdpkKo0QPh+1WAxC4TwWUjSbF0z1sHmONJoyZkhWfNw95yTWIh4xy2LowVVCj02bjR5/vxGSK/buxQYU8pLuzRTjpToVXl3xcM4QvM4T9CNemlam9YTxo6LcM7c6pTiHpcYjbY4CZRxqr+n6Q5kMi6RRiP4+1OaV7MiLJZZTP7BwUSP3uURc7CYoRyhtIJT6s7+ImPJEozqtnCv7p6vvcA2MyRk2KnQAHypT5psqNhNtIvNvv2slUKpYB9Gpu32hWUE8zCeBkfK1SD/gGRFJpoQhbaOC6rxzNMgNTAnlUCTV6YtypvgnyG9fWmKhdy4weY4FOiomOPFTWQAyCfQhSokx7uontDkcIjvnkzRMvEGnkucDIFKUttnnijwI3MQ+DIzAkTXUjlr7iWC3g7JMkFgMV+kfDsCkpQJd2AjpFPBR/DnnO6t1TESEX0UkY7LEWBcAdfiiy/U6HBKVEkOPgpH5R25B3LgZPphzOXSMoCImgJpZjQiWlTWDIhPKuLqkSMVV66Jqc68H85jz6gYDJjLNGUH57L+k1b18kuu246PY0QG+IWMRWIGbxdJlp7sf8t+dw1CARj5QArI4FE33n+WVxbC8nTqBd4VOQ6UnZsOE0x2xAXitw+Al8iGsj86ujjEIwEGsA0PVYWJewkM8oMvyHTADFITtM9jeIKzQQXAKLGhD9nWEH3/cjmCZ2u/2X9aXak0bZDtP33B7tgNsa/urL1+jpa8EX5PjcELrcx2NVRiZXxXAZ2LOtlzwQxTdkR7LKcecxzpUqauGGlFsQReef8uKJ9aeHRxlVb7BrbyqUv9zt1l5Zq5+ZveHFMb2cMfHGUvbX1jIKkotKU0SiQOq28abQEk4UjIMsIZIz1LuqFLUw/3hght/32uiCibeMJjTqj7xZD89VQ/JjiifokmeXvgL1d2OviPi1NtjG0m1YYoisisGn2Vfy0RBcjDPyFBjMMdycFIN+mZ1AHC6zJW6/bsdVJ8h8BRdr9/dOJ4cWGNHGcyWpX1FLaeFtBuxQVgTB187SoNzy+Y4AI440Dxz3kjnRrhzGZ+Pz2yhIm9AVhdfk/WLxtdbSlNcmzTOIfBcD8fp9dwGZbRmyOY1pPFFZC/KCjt5bVsROjUnHN9+JCc4dOQ3xdWh5GI7xcs41brFTwsZ1Xfdnit1aWr7aSDsi7RdgK0aANoPzxilSnZkdZMhHjpylsJpDcOsA8iYZ/BkUikT9yFhl3L+OLX8KI+j0T6TI+f7nhFS3C0M/KKlxl/qS8XfZgosmFzjXtd8wVLABnPXs4RjC7+w3QcpHB3s+NLThHn9cfLbzcoBHvWlYlEnkeewOlEQybr8ZURA367bOHlOSQO8RYCGl75Rcy/F2nYZA1TID9JIxpP7Bl3+ZgTzJ3guOaWfmUkc/LMfFmlSqfO8bvUbbDuSvayDv4NgTJoRUquo1rxnjQ8cPHINbUxIOq6nTLGG4A8qd4TxCC9FsyiSFsB8NOFwiFpNXBQxSMMcXptwHTAPesRZwVnFQkyi3s03O/MxY8f4BHSIDawHb4NFuSdphFViJ7d49zeOiI3VXxNr5KL9ZT1D9xVv3EDzdY5dGGiySFEwjWMX0ravaShKyXk11IRIzunI24j5L+xhRDr+mjf0aEFqtBNkT1ey4EsfHcdjENfhLGBOTO/FaQkxVA1UjDWKNI/m1S389ConZ5LUY+4WX6Hf0FVMOj0JgFvqOFaHlMN3kib/qluD23HLK3hSGrCFfbqwHKZ7qhwEFfFwU/Pqqjc66cXDOxyQU7D/rVADsNAvCZoOekBR9fjge8cTglJclAaqEH8ZdILxuL1ZAHFmNg3vGj2MY83f1mDJvJdw9p+/c2wsmOzeWVLFmuDz96ZT7UMLBqyIsc6rQblEjLhfY4ero3e0VkS5agI4d+t5Ox+RCg4JVvV9mpVh+v4clMnaavQLQioyvSEjUy8EUi7gueQauVF+Yrzt5T9z34Ja7toqPOv36ZwWefMyZ1vFLL+T0w8GQiatjaK9nR1aRd4lIFR0fgXM37+ysQP5QhV6644tnbgbudTGhMaeyLmzSgGCVZfB0jnMPlvSWa/EoyddF/9Oq8eBbekLmFak5TiZJMR84e/X89BDZfWfTmsJ4SRJ4H9L1V75S62GeAerLi2gBg60JxYXsS7w6zPK35nEXf6EaiYeBgZzFMnBYBfhhbE6fLDUehudaoy/qOiAeW456DYE53QBzzNknQtXbFGVYXU4mpYTAORl9Ryw5PUFdXAn5WUK5EV6Pke37TbmT+JyOIYVA1h1Tf4ic/I8uThnmxviSGLidjkUhG9cYErZW/QWFnMuwkiazAAdfl0a9tFfrYFaQQ2LZV6z4HSKSK14WwwnVRQi7jhjV1kKr/2D8I4ez9tx+qdjVr0mu7sRrw2r0Mk+WeEkwHmlODNol4IPwV1iDohCJTet1VqWQTUwLKg9Xk8dvJVHVeSDzVWFzHMCObvXRKD0aGChvxz+XnbMYwUtkk2Q5ZaWEl+HVkhrSC379GRr8NaltxaFz1RMW+QtVUVO+ATIcAUFZhMp+WVHqyz5sJ00TYkaipspziAqVo7WYRCgfnYTi9zXc39X5Fr1gBnnUzMd9slPxEDFfgCAAsUGwR3GfdfYC8FYFz7USsFhokZGw+fd2ZlJuaSISDhgNDJcxOVD8W4ROJofx6nZm6S0ViaRaKhANju9NA5RTinp/Uk1rM01VjLWkVVWjz9YKf/jKQeG3reyC1qBPK4JN2tPmnrSjC/TRaezOR6sW3VFiCu7XnkC+eRQXwaCp5297cuS9vyNLflpIxHH2TWLn7N4q3YovIZxyqHmHN7RmyDPCmTcTNZSZJ5E1zYB9oNVzhw1AERpzojiMmbXAKVZTZWThA3u9LFPcgT13+2QSwUjp273rpDBC1MOQakafinCnwUrGL2JXrT9xpbb4WA1JlT1cQe30xSl+wPaa5EynVOl5spUS/JvDxBmPDO7S8Tmignu9Mqm9PNDc75Pff9L/C8ofHujM+knyM3je0XDt005lTAn3olPOP1V/Ak/ePAQJMtj+uKbb/l3VEawGY2U8SHiRxQ6ooGYGYRnGMSr41AMuC+qk21TLC29xeK4jK5gbNFaeXGC5TGdRl30wiHkhK6XDWbn840LWAdoHWoQwmtlJrIlF0mJaV/7YzCvH4e+y9kPF+2Wizo9/g62ESIVYkqZez4zhCP45HhBOgIZnzLFk9p41UT6gVBFlCRPGfdF7R02aNNEKWZsRaCz3zlLOEs3cbGHRfezF2Rm0HHG3YdF1FbTmm1aEY4bKd+kO0NIDU2Bns+GtJvPu/bjBd4v9HuFniAgjjhSzw4s0q5iA03I+Ria4POXT0WjGKkQcqew5s5u0HqINqoJYlFwrzmHi5OCkN1RTXHEjBL3Lt/zuA3ysMV9krp/8da+JP/lV5v55dLnwYgwgmSyrv3+l3Okdjnt3wxUpvR88/i2CQgwgmSohmWKzceeeI5OY68i5+uleKFz+fOspdavDSy3WqvygXaRc3X7OP4dZ1ew34CtMhIbO6nnWOufq+TQbdT+LlMlF8NLZ/c/MFmWStIR6M7guKT0Bepb0onHX42XOsaXEvog9QnpS9a30w4mfUCG7i5kKAcKRh9sPnnoQP6gvpGOvHsp/73/E6Nj/0fho3U/vX1fNNRnEMTHedCWbWuzshd437WkjlsPGFL0bWHPoAXojoTDZV7hp4aQTKeaFSB7BG6jBROc+BPmgCBpI4D+baibGNkIGgdC6uv6lswmg7oOYkK5BHCr60gjS/su7moRylgWC3MqkuwcCQD3znxfX0gEO4DrATwpzmOOk1BPSpwgSUHxpIGh2NKwWlnmC69CJHVUdxBTcYRlPTAJuMFMf2gZJHRMaVIeBWepsiodAX++RdaHP0Xqf8R1VUmXtRbU3kOsXmJF9m21YwR6zlziHl/dFQ7H9t3jIRfaNTtceGqgnH9N6aN95pThzrmubMYZ9oHu3aKuswluocdc5wL5OczstjK40+vnTaOrVXe26dqLpQLvhvmqCYaYQJohfmplX/cSwrWPsVoEhEFb9yUi4aBFbb78N7K4hQvSon5WixaEapc68CjhzuW9a4C4ZTug+cA7L/gdZCM3yjDBVRGebSLhIz9zsCXb4T0/ipzknKHCe2GkXJS14NpxmnL76HCsKdz/b4gryNBBItk2QZNiOJgFyZJE/V4vnv+f+nbYU+LOgGiFTnRZfe9FIKJ1eT5vYv06FKBPtaLoKcMfQaKKVmsD+vpHElV95+DvO8TpCZtKZ0ox2dTn3mi6Uw0U76cxpF/hRFhc7NlgR6IDYVC1guJ1Ui+J/M33+zeLaOWxtlbyWbobScpJPWtWlhuNC2aoLpV9OQ8vQ5HCKIGFo6kisL1sa2lqEuTOY21i/RvTfRBtmoJm7k6kHm23HsuX56vzEV8OJ3duHNonBxsXDmh91rGh91rzOreGvaJVXu+XFTv4Nueca9bk7XWUiIft/aG/L986zi3AezjY7GbM47o+rXC3fkVC0Ga4fp6q2JC1Urr1vDRJAj+LZ7ZunQ05cy9AveLlbfelRfrPAkQzdEW9vbxo9UqpS+L76WjLcp8q36/GrNyxtt8Ub1+y/M4nR7Hd5efy+oUwH+Zfx169qkIXAt5oLa5S22rM2mdApmB2Mtsrp8KOz9AwF7Y9eFyRWwWFw53j2rRLmfJ9tIf1mZqwKQDIxZ9VFYnlecoa3OfG29xdw2k2f+KwsG/+dwAA0drVx2FQ9/ZxML67qcQ2lr6v6LXEB6zLDoJtZrqB/aY9cfKtjWLv0taxC/Qvyrv/L+eXiqNvf04rzTiRTjepncTMOhiFvATJwWmb/8rLY/9j2U7rCkP5a8seZQqi/9cQjTaYvS+jPuS0JSCvtntypiwJJIjbfqji7PXXlz76DimadqVrePZxG2P8EPqvonbpUGLit/OfH4YtzxLr1U+bBabUO4TTd97l0cDR++Gzn3R6XMTxWY98i7GNncW7Nr31Bh9gDJIKzgVwqP2b5VEugNoo/tLsnBCPzYLUGqXUnQfKsRaXyEaKoTFJSTIwcgC3qoW0a0fGhWZGI10ZRQ1q2Bi4SMpjkyl2B4Bu6bftjYJ3LZrdQtF2Ez76PXuc6W8O96zKv+eAVWsWOTFkoEKLNOuQmxbrVTmpDrQWC8CN/69Al0E+NACU9uWV19X4JSB3ZNHPwwL91PuhD16qXuf1w3GkWP/FCMfgbP9/cPEij24qnuv992i9yHDaUuBZsXX7Ih0sqTALmG8ZhRTpP74g4H9L/Ecmlbv7STCPhIUJvXDjOdpTIN1gVosI8qL/Y4GyBmj+EDSQNuK1YpJJ3l4czRHbrqqu+PLSgKM+fKAvNSVWiJArCN/h5Jsu/nZyyZZw736SCZOugAk+w5BL6/MklbmGOIwf6rgWzo1SbgKEg24np2WQ893pXLjLqoIS0A04Nd2dkc1geVM0TGE7bexg/lAOfTXwY3gDNu1MBi2jZbxe+7yLmXs07Em+KxxOBTRWqtyz4ewy/50GFgSS7bUP2QHXB5orDssoZseCeudd0iHCO/2pUgfRRg30kA+TRCB3a9NRO3UCdHx1b+HIbKn2kA94DsZ6fg9M8VGRYOtE8SEDm2E3O3sao91mB6xAFP7XlwcOFSMeBAR0tYO2Ha8veK3rmISjJa3jZ7rler2SpcnRVS5eLXqVFV9apZ38bDcG1v/mbFdKHdRLW5iPLMTmQhPfwz+s7JEP1JaarLjeMISqEhKcjSRBi1OcwT7KTeIuPlVL3yz2PRAEZuozcNTZwUmB10H3bIqbCElGtPD4Vzw+YcQyJ++hr3z3C4fUZM9Hx29djgjoS4Z2o6cPC/u/Fjp1OheqyQEEg4aIkFye4HxBdtW+NWUNwYONtW0VXxSU/OFh7GaQeofenO48hoXxn/uG1dkBpOR1tWz/2OYW9l35lAGBF9sZM/KPIy7CnuVuANdErsm/Hu3tsV4eh2Iy+pqKow1KxgcYDhByH8wRUxzam0piiSyXtkxdEW1cA9FA8zwUPQJO5ZvqeR1Dzkl4n+Vl1PImMTtKV8+eX9P/Ya+rZHpgadLCgXGUhRYiZ/Sao0D1qGv4e8E6XkNkwn8fQ756IBVl6A6cPU7DrbSjFys2+Vfk37i7w0dI8o7uZNNtVKB8+53UeeoiQKYA3bCjFcdSwdertJhjknc508TUai/+18MqPLjD6kKYZuGQ5UGQIoGc8Ak62+hPY3m6Y2NIk4PfB3oDndml9xv9fq+V+VMKglaFRXAtYSv0mrJYHJZ0WuPT6pSIl+m+VTf4VUTizYE0K5VHAWqbY75N3bpxvHJNNOncfrwE2694NCxFEYG4WITHzxpXndvvyZIw9CsWIC/ZkfYUr5jDp6IuNzd2Pvs80SVUgo3jz2VL/Pn4d5o8kpdFSlcrjHEcsFgp0ee1UM/fBq37iP7NdwKIbrGfcSabLipsufT/C5CiGhTGG4ujk2uuGicXdiw6ScuE9xZWzlUvgFg4PhX8FUzmI9NvZ46ATliF2QlalE4xPH2+dm4VM6jfWqi6DyQ/VpwV/bNdpu0xv65jy0ggRHweDC8gLFJEf+rBU3yQS2vE6emn/YNAABNrlsNiuG4QxVjQODsrGeG5DYaQBOVQ6usG1fmu9ELj1UxP9BEHI6hYnibMd+Fsx/rWI+xVtIuOnGROQ971C9/apIMCkEgaU0P/UTCSHJZAfHN/XQzgiNgem1YDYELMgpjxTyHyPtbZ8y8ispNZKB9aVUwOEshX5PYMnVMC+II8KOFU5BML76W+SMJA0vr42nOfOmloehoxyyaXB+Yx+xRFCEV3RRSLH7XIZTb6qleMFlUVo/MVSbeK2a2JyyWsoyLLRsU3r2EB7FanmAKY11e+dCfQ6SnrbNE5AR1myDLNM+Sj1fpnOv2JhznjHE5pPAWWxv0RgzzEEU4QkOuaJBbfHxqjosXmP1hJywn1fRm+EqPgzLZsScORCfKGo4v/Nj+T/xyGmYy/xec9wfV8wsvympN7PT5bfaNgN309NogrH97ALFjseHqQzJ61BYP+16jYpJJ2tfJ8JZQg+v7ZiKr0RIe1yCnb3y7jw+/BVRVERrobqFcX+lQuVogLUElKXqHjSIqR9ysZldmZ25GwkuExg6jE9DvjznvQmpTP8fP+lMLge8lzXsLul+6R87qfu1f8i5ODzZ2087xOkPZN8PjWdO6PDUFgy/7MJJcAR1TXZE1xaJ3IvY6GtEOOJ5OyWfxZJq/uiL6ll14v+8ieLquKAtct8b2DYXR9QLx9QMSc2aqOHpjUZ9/V/1q5EvK/f5EfIgzw9vZLkhFhtNUJ5kDLUVnJZqqpwwD4ne516zSif2QzsJIoIJgZlENHD4YYPL5qaq7ScAT00SVxXKVEo9dqgZ8TX1srHiMLfHsp6WIPRd8cXP/JpkgkKWam3qZejkFFm0FNwg7+qI6NfpEjDlNq1HpulH4VA7N1+oRD//0/ohgg9YjnbMKf+6FemyNFL8lYn+rJUKpSAIIoIC1LDeI/tlB6900kh37Ny2/n4oJsHRi0kAVbjUoK0vS3ISICXmeJHsLglqRXbapnbOQ2Q2ai8XastRWD8NMXmg5iw6TGwJ1oz/Ug3ooQhScQk9L3ExClhhG+H/keGBj9BHSW42pSoJiaJC6fcGiLtzNdzHI3gWFvVUC7a4s30TrRFIbS03RLqjGc+mKsHf3krZz1oeS9UYyJLsGknKu5V8l4oYbWu1rYDI/2ioaonn8+eOCx2qbyUKLckV8q76druwaqoJS16ofpkPIh9jEolvtRl8N54troTMjl+HFR2eEHAs/zwmWaDY3mjk5ajg+TIhuA6/+zDtMklD1+nC13s07Zz0nGddHSI6dPJ2o11Xd5q8MyUqizO6c1pXSIGJ3T11YGVx/vfCkhio0uO03UQC5f8cLf8s8Or1gTBISJYQve3nbjtrZC6KLDHjysfwFh2zZfRmIbMe67esNsxvyZxfW+GCAu09ieLC588zT/YC7jbR0oJc67373CzRA9a2rKK++Dvjv3zeRHmgg4WrwfE9ViwPuv1bdX/tQk8qK2MyN7R9gngzqwQVRYrSZDi9oD1XTc0OOjgXgzoKZvs4qUxyR5y0O6KX60ImtxasZDakU6a2hBL8qRb3KkE4Q8OEm1alunZF4NVxddyT/zLbRndZ9sx5fN+ISKZcQKhc/+HZCVT2NiN7Va7r3CA0v1WDSgVwVK9WVy3b3k3uaAkVn1Whm2/AL8RKziMJjzXHaucBE04HtaPSZIAIJAq+iGFlp2GBg+k1m+FN1NRoHMrBpzzFReKw5YPpNqh3ajUqfo9osWakTwOy92vPFb0e0hA05LQ7b4JeTTTxgibX5olvUIDSLUtYMTJ/vikxm/nJ+vw8/vofGRhr7Ee4NDM/O3Q2jdniLypmiQFhsKQqv42oW7FCyM8dpHO6PTOVelLx7a1eRZnVOHMUH3KRysggLZVJJpb5w6MKbnkhL2R3WDX2BLczMPNt61hcmmjRAoN5rwh/nDJSkkmNyAKXBwoQZaIs6EuZ+YfVXaU5sFtHjsscsEm1doJHQ77514mb2udS6UC1dLzsypA13TjrW6eRWM7h602Gy7bQMpw0dVNQUzj/dTD4VRgfx4xMavXpk9Eo45R95wwLrKqSEAfEAq0XMgMOim5pNJH0NiIkyxWSLbybDTOkZBziJ3L6tbVLPW136CD9rO56aZp7I3utG1y6HUlqopZbwcPc8Qkr36yuWwYz+/nIHlb3h121lBgjOIl/Lr6SeD8fiIXN+tn18kYrZOOvJ5hC4sE3MFaB5aLFJ7yPsu8fGQqdXzT2IpqoGa+AZyjEsoydyzMcoQcJIeJSHn2tAErIE3zg9TcXwHAvBnzLnVIRZ8rBmqdSgYjEb1dqsi+gpIYhjh18qhqICFpsrQspUqXWjxHVMbobisl1jRLxX4xo1SH15vjv9wQF4y2UiavEO36OFj8SwHWYdXMvQr25KUSnTNEFxw7OA4EkoRHeHWIIEh3C8ltTKz61HsbJXEp0yQ7nZ9lUT79ar6466+6ossRCx5UkaPmoYn5TV0PHPAdQ2dktTLiIu4it1K8roRlWziHq1Fuf6+f2BTc+DRKp1apmA+nAWJm2kam0ZvldSNysOBak8HLK58TU+gjcidz46WJYHrmWCb3mihNbLGtxEpMO1VkiT1YYJJXDkcWDI0AZtPbkT7y7BUbf89SA3iYxImE1eFsgtVfzdsM0kk7JLDU4UOD2Hj5MC8tjQxmDx9JiltawJpqkyW5abx1mTX2XGVpaoYzteBYFwWeQF2PwhuyhpAJZ3odN3sdgGNYbuLmBMkzE23Tm+zUKxAt9sDV392gap61BoVD08YbRgdDQvOCZUy55NWP+SNA6cdTEF+kO/Z6TklPC6avKzPNFMo+X0l4lJNaIMJ2W+oU2CE6CHJw2hWIuuAe2tukoN6hNzqOl54ztedi4XYDkhTUbiipOKV0VhWVPVJPgPTPgCnORSStYWVE/ek3qJRIH0lEik/WfPkrWNuD3EqSD90F0OhMuUyDnaD2BSKd0bmIS+QJHtU2ZtoNDuAE0WW/UaQ3uJDZt4v8dUGMwn0CCAwIWfxrZBbImW8bqkFqx1M2G86ZNi2j+0DjGML1Hn0+4SAziy5pEdJ0m83U4PZDNC/r4NGwWQ2lZ8um1bYRCNdnQokDj8MpBpTUBMWBVWVU1Vs65oDndo1qqq2X3QUoDdQ+IAUhw3fSKntMiuusgO65zKHPmPM8SlTikYwE6gCSwVlwFjB47TePrTLf6p+buLjxRcFCzAUPpKnhrzXfBzrM6Vtazolf6XS+fhx6Psqxjkzt2POUAma1bFlWiQdcIXgBxDW+rJNFQEdXI5YG7R1XtnMrBKYgLVRHso5OsauQ4nD23zVuvZZL66jm/x0VRpxBC5gsxeYo0cOHb+qYToyoLP08tTm8Gm3NRvHtfyiGAb2y2K3MyElGHcDZr4sxYUHglTAlbZiA7OsSMGHN+oDkbo5E0SlAxfNjRAnXWklIK7c6HJhAJuW8GqjR5VWTpPFPXilRxHL8ZpRylZaVH/kbNuuYnJFhN2b/nkRla6Wbk9Sc71RGodoJefF5mjNi9n7DlS1uXNqwdjC8Oav+e6YJO2O/v4Jd4ZepowPXm5PHG1tFEqUcg17tnC1XCpWj546Zxeqfc+pkL04cCZ2fjwKwJ1s8ElmjJDkHz7q5dQB3D+bUX35Inw1RCXL6U0mMX/wYM2l0K9bBAu473LdE2kpOnDj3yrbWZjxdpliuMG50uFZ8Xmj34vGjMewb1ka1+2Nz3kfiFnh+Knj3ykcB7I6796NTK4RNXO+SBxaCet+LEt2E8LYLKb0AOSv6heBP4bVkQ1zOk4NIuGTIBlDs4nPjLbhXKCqzE1+uvXpvOXQePFw4vE7sA2S0MTTZxNjCPOTBD+TEItQIzORGzq3chY7rfGSMwrzX3z1DUg7XgIf45nnvNLxAS0chBf+TkTr3opW4MDWr1cMY5lqEBR5BdUOm2NH8IPqL38OHirfArRFRYvCk+vypL0Cxd0u7CZtNy6zwccS427RTWgD5057xKOjpfrH39HgS8LQVLiwdt1JJdAJIOX+8uy1iAMXMRrbR99YYzHUmkllDDi47CP9hxEpQev+B3fOwOQ7BH0y31LBtdaAoKnZENVQgDDq4MW/75FdLBP/ev6k/L7suaoVQw1DLGiauSwo6hGXc5dQSRYWAzWsIgJ45Pye6tGpcrRhaWhi4Bfc5/bj7+NbjmSr7SKUTDDc1fZI0ZmLl7PQwt1DPZ7Wqb+dd58w69YJPg0qIX9oKLyWllwhO9AIRKQCPN5s36wU8+Jc9d10IPVySWlZV5046b3vp+IkOlBEvugz7cVFt3S7EQKTrTBJc00kX5jdVtpiD71eyB9VoGiTNvr63p+VtoF007Av0MBTm6SxRDutkMKyISn6zinKJrn0s8GuSzeU1E50vOzO0Ra7dJowpLrM1MdD1mRAP8seT0z17ZIU3zaifkGa0zcqWYISGlowJL9nHvMisc7j2q7eBrBh5AxX8fMLLhEUrZZNlgS8jUPoxf5se/zzTclAkaOwoczxigIJIyedBuWZVKe081gZBLmvFwe6XHzL8q5np3ng6/NUxO5hRyl4coWUZ01TtKJshs1W3UAQR0bOdMxfWuG72jEbZOIvUTvyb2L0Ur1LNsujVs7QhdhfdLJPLUb67jT/Im2/9zysf7KrlfQILEWBCKtGP6woFk7PdmX1nn+Dx9PKsteM+UxAJpaI/sonfIu9uqZRqBnU+crWONtLxdm5DyS5HnEkMBeNHmeu+EtKsjwM8ezNoT0e8VQOktY0BGPiBDCi215dXho3PMNBY1C4M7DU5MSPYBn3Fmm9lM1mV3IxX3eCARBXu1DQx2lGqxFIfMl0MhKu372F8Voyo40NfQMAvRgCHMLboTe4njGqbJBTAJtWGLHmxq3NFJnj+5zJJ5nUA2LkG72Oh/FzKJhumoY4EIhr2fFXVVBiIcs7W43uMzIG7euPXpKuN5jbXORRM/zuQIu9Tvb1MFO2SHSmlnUb61tiWIphyYuEdgY6LwMogMf1sqZc1aCxGXwi4QoEYf0YTXiB2noHX48AiC8rGqqGqMRNiC39UBDNIcw/9ttjJygph5znjOv+QdKFXSFqYQqrKYarrO10tPtdbDqdW9TBA2xETXmpraZNHdbHl4tdCvTBlpjCZVymW0n7d0OR1RH3dl0gi7YlRpwuf2IB+NI7CYnK9WZ6QZ5LFAFd7c9pNKtOlXVMUjNw//1kK4Rf0N8Xkgg7L+DLzOWUnxFeavfHKMyCIHSwGre875+x2mzZWeiwkPhXLjhAYpA0jEb8UrAEHcSG8iqm/m2H96MzZPzUAlZ4Xi6TJrGmJicnTcGcMe7gUcYvPQIbgp/vcFlFCryoKivYJVAHwlVmaebh1Vmfgxxj4xD3tc8Pm5vfAz2BvYip49gq5McijBl0susLzTvAmaVx+Wmfh54bQ2ul86IXJwC1RC7ItywmVzStkilqAMHdOk56oJLhyOXZ3uAekvD9RZmczyywiZB1aUL/22xR4tNGm68qPrIE8nty4nZEOxSMcWjJpQDii+YyopPwwy22KrNyZ8H1WY+PFJTQmKSlr3FBCzQrR6XjH2LXPE/vvDjzxPOwo1IICJmwsQHRXuXIAoeZaSYzXw7oNgdfXXgDpqK6GD5/8Ed/qfZSGomS3xImvAQMQGmZA13uMl/v3fQPWAndgFx/GsE4Nqper5V73sP8aKZETZPAY9fmB3Mz5SApuHDDngPQFuF+ae41yFebz516wiL5lJJXVBPDTlynhzam8RhnFEuL0nwbD1fKh/4Ia4aemIzsiR7+HolIRQOCgAeAN0HCcVqQbRXwx6SKHqxlZNuCycfkrgZLqHrwQIn08qfia2EGESW3qx5EKuaRFF9E8rwolBJKjfP2fFKTn9A8NCnvCAxvgtXnV0M/u4gdkYNfzPjJpJk8rEMdTKtcVL/WEJ2EpEJ5p7MZrbmcRBXtrZBnWARta+WZjmCzYDaWITb+NaiuO5hhYrwYpc77eL0h7lTWuaOrx+z7VqriTm4hT8Q4Jdc8ja6kNSC6fe9fOqdGu/H2+yINVBWvj8zqevYqcHT65Z3E49jIYO8dfKZX6hrIdzN2pI8UPb3OSh0cKY5OBwIRvK/UqgUm0a/pEBXMgamJyy50Gt7Lp326vPIz3swirP+HsoQQNSWzdQSkXsriEK+3GOBu5zAv26qn5oejlxpGpC8oFOxWS7nHPzIiMn0Cpgv9u9aTyZPb+Ky8c1Jh2os7qR3uWsf54lyCUmGRY2G52LyfPPL7ajp5MBq2wr8fc2DNiXNAWfLiHFLw/76kk/3hyElLVCU7LxFD1o6TxVwlJ3S3NeESIs5naHsW62ZTe09I9tCWcUSHscbOt/r+OPqard0jVaazpr0G+xkfI1rMoUPZJ+/HCcRLCoXd30RNbVmv52VGoVT0uTVRubl+yAEOPlMDZ05tXMVa4EjYwuOMVIMcZePSwpba9iPojff+BePkPAfKXjVoVZR0ifS55U1MuYTSH6mDmZOv/fcTCiCSTRS0oD5ZSqIGvv4a/5OD9JW53kLVMta5h/PXAaQAvsGMZudPt032mOhlaqAYkMs6QXyAdk8c/At6Zax2SOPVcUTskzmViblnp7w6F/DWVYKVJdqd9TQAWMX6dZhiy8WVT1UdfCqPE9kj3Zt3vmPXev/4wEsiMdX9IVtcjVzm09z4oFRUT5oa9zsspTGwbS40yiu5jM9ukmx2SbaVlSj0Xv7xZCie6xa3NRDa2Ub+Gq5HQ01jFG2mRtX01WvKs39nkDd3PucoLZyw5aA6DjlIZpexYiEI3DHRe2I2CeBquRTpAB/F0DTPXUoDt3bGpZKTBGnLZu8+uQRxyFv+vZJLDN4oZzlLk9p//bCbyAyBddQBL5n4Ztp1xzPU0JL57U55w3zSSeBmizRgTzw9ITLVt8yZTVXZ6/zLutHiP6YK7O3mWeED5TagxrbangiQTlClF4mmBUM7fb8aKVGverxgINWQJV6ZdcZaVZNpRBtHt3pDMwczWOoS6NVcCcrPxIAEJAKl5UrP7isZ3v/IB1GsTKZAQtL/HtyuYMlcDT+IEHLzXC+vAMRcaug7ujYXlbenJApHrhcEEDAC45uLwhfmwQppiKeKwZq/BuL8gm/vsoefWH9q07sdV6cKifUeT4btC8WP3DK/bsu8ERiZVVq5S7syu6Tan5nexZVLez2cV8rPtkg/iBMRMht+csgDUBDG6T8jsW85RrpEzWYFh6wstfkuI+CCdgag/3baNAmpKXNSNq64IA5eDygAxqCZw0ToMGBdMDPStWTc3RJw2eR6oGDztN9m5RcHdCHXwfrz/k6ODVtYwOYm4zpsSWtayfXwOxy8F3ABlR9d+v+ue/H/pDZJ1RbDgzdVG3fXDSoVHOFVn2UqBRRpVAEz3Q9YL5S4MKNsMRk+NBnofegnwrxb8AxVA1znLSOSWJJ5ioFpeHzsrbtXNWEJ8tL6JBlB80Tk8iikPRRCmAbeUdcfE4rosqopbE6WpFGI8FyfkHsQiVn4pXy86iHlj6GxCvHml2Q5y2qqohfxNPQpVyt4ya5lW0wyb26f1AM9Jo37CalNRStCWZepxjloZ9cosunLjPVTs+cSltGKEMbc6i1iPpqSLWYNsdSRY3mw/7ZUOKFI8Xs5MgVoLJElcIjOeE4+vzTlyeQfNyi1KvktF80WRPEDcQR3VCxpbIuZ72bWwJpP1NqlAM4rYaY1hxYYxDWAnlQOV1JuPBZL6NO6l5TqDLzDbN8S41gHq00Z7Tyj7s3ZwblqsijC5OyY9l6VujEdhylU0P00L3zpMrAomNCydiLTQnuaXRiX6fVI61tTW221dUwLxEYsKlwsygNaSs2F1Z9qjhI3cugTye2BTUgcjeSJq6lee1puJmq/Ca1vsFpRfUrtVIy1Ht0TEfHMMnPZMYT18RvHiqRxuvkABUrOATKsdI2NG76j9b0NvMblwe0lLTCab1L9Runpy7SMwyQ7z+XRRpOGjqiodkwqVu0a2vp1YbSLViAOjh+rxk1O0cxyJrUlES3Y/RijGbrG3deZRu/OLtzJQaWprVQUNR3mIADmp8pZHUa5qlnvUypuAQEbolUH63kW+X+yFF328zeaWKcXhAKVcmxqcZMi3NerMWmIzlHYx5PGF3MFpvFoyMhEyfdnPIJ8l4z7S3pVQH9pBxbHGcw10X12OI88x/ZAMh8/vRwqGdT468jmBdMKJ4aQK3BFw2gNLkZnV9blTojsmU71e/+TMurpVRK5s1nGIH7PVbj2zROjZ7xpiRPIHoc2s/7Bl6sfHVhVoMG87bOF3xsK+m3vYCulPjUDujoT0eWqLul//1b+pVd1C+ucpiu3NUk/bafXDYpkW8K0ZR/t/MsXi9OfXrREn4LPvlfxlEsweICdARLDIcmWTUtu56Hmnk18OR4aVdmalkwIyVJvUBoLkVCxoA/BDD8tXVz5cAkRSG4xp0Dv7KfJwFYvZC7Rymf9xEAdxUaSfxxemHnwM1QkfswxIQnVRZ6A5hkkkd7AJqmBBW1hDQ/qCBkzNmUVNVy3iAtmjbjULmLZVlmXDMNXsW7bVE3m1OrNbEbQkw88A8iHCp1Uxk0f6iEx/BpEOniS/m89WkHI8debM9L93yoCekS/HH3HPODSkWrGcsEPpP0H336hl5hphNH55SDqyipKeCpK5/wNAbkEyskI1iDHO8SO/ffmXHvb55pUsdOk5NL7LA6+EbRrK+QeSWydUY2O3gaz+6kQRQKJpP3Yew040nQGtiQFIFE88PtPnWvMXukyhCVmyRkYW2tbsA8C9RdxeqQDouVJbWD5/aufcvYCLNmwnVsfWjU6YD8qe/8Jq1FCSnEoU/2aCJMk6d+UUU2Oi1uVt74knByexZ23lNsGXCCKp7ONeKkpDaEbilcw5YpzvnRrXE9oKNMbX27l/5mIRmHfMSy5b4tQ8ejzFZC1e16EeNE3BsIcQxOisR6CHxSDYaeBSclPUSnD+8wO2l8vY/nAmpN389eJRX9GghZ52MKctgywRViDluF6k7prgcgIkKApPkVMf+TxbpQ+W232UtFFwDBwx/Avx84YuOu1sc5N8VL9LG0/zmZaStscvn34Cnd2Wd1OJWElfN57KIzw6JjeFG+VuDLJ+HpRcl9pDu+18aQCV1E4grRMAE5mvrn+z3VEbtu4OIh2m4Qq09aunf6fluTBBWZHopI2d6sudxA+3N+tUU9Z1FZXLmiReUnYh+OF6Vj0bENT/74COQEjWdVrHKbEoXl3JnzwULpgj1J9cWT/OQnMMJg4Gype516w8eaBY/4yyKjeIL+/b+akVa+m0YOq4Ke725fwstXfTHrAuQp0IT627Q7oD/UAbDpj3cBOY2zoGrTpe5a6ENtiB51MMVKH+xEyYcujfKqm0Z9NXovkf8LqPp6Q+gtsVCg/i5+nuvXldN0zMbg6OshT34rcEi8Lk2GASCS9HqbTVuEeWM4YZvi0/JqCSAgT37UOVNeF6dTIF9niDqTnr7OC42/LL5XTBEtNcJaV6Old9NgsxvOd7xlCt+sLNpWwUbAidNsSsqkhz7UimT6sXCzy6IQlRiUOkVkMA6KzKfzde5Kuy9PBnJH4ijL8zHlllVBbUCGnJjUaFwSX9xSSC3Rva1Ze+sTVAM5wWmzI/TBKmN4V3OtqVokK7sofItBaRTBTXBqhvYcKjw1wxh3DXD11rzLo+3Otypj5UYINBZ/X860sbRrlaZ2QYjM5C5QcWOHqqmuLuXuilQlplPMkvOMi7c3fDNsKpKoNqKm8sdFAOaknH4rYdBn6EcGC69zGOsE37mMkAWHKuAuglupwTS+LYlvgrbX98hilUbCySptM+w74zvHWP1DAywny163hGF1h7CqglmTF/jzwNwEto3/wqGahA7pt6jTbr9jogfN9Wx5RK7KBPVsxM4KlIxA6QlTWw4P3dVlcQbVAGHEda7lRW/1MxQNj0ytnCbI7qrXsGrAUAbXJYvZqQqqM5fIq1+W6ujxP/iGyJK/MLUT0yF9+64WpBJJP4uFsOKlDlTVdjjZLZkIsPO7N0yy0Xly0uCc0D4fmA+52NmF1sMRZpGvH5JS82wmmgKrbKlerBYvVOP+Uxq0svl6y8ut69Fg/IGSADsZqCWOJfbMENvUOpkY88IMWWLKkblt5vdCGWRz+RyjbncL/jqddMii10EyEjCMfoCJvW/J1idEkotdD8YlgCsg+0IXBD/xOChn5hHcKbcOmKzCCWSrXWS4BsfTkLvDfui+UlsU78eqxsOYDEnT8+/uQbjNTo3gNzgIdX7mTTUUDbkYvtgPZwQ9qT1GI5P2txot8B0+ZzqZq7ZS84sGBhPwCn8E/K2gjDBwAXtgA1EM62698yclvL49LWGrP0SUfXD6sbeIq0yZj5SWzFSlZI4aiW2LkxKOamRYWLZqyFRJzufugLjURAPplLeUuj6Yw3OyuTcQyrXrr48QDAI/8aLDgGmaaJStacAG8SCuAlv6g5OPmRpjwo8mk7+UrzfNdVk5D45LYxbnGLaiq889gwM551IEvyGo9cxkqAzK1pAxsBRLa+ZCfH8VIKs0m5xpAXElJwu4NfRsTcizPvC5YGmO8b91KVpaUXChF3IgqRSbWGGFFSOZBJZjL/rae5c7ooh8Mu80dcJXR6SsBpoLlmaZcjbvSis5sBf2yt7Y+2kKeQ7PqGALU6T/Hlyewbt5+/t330YxgCfQZzN9iSo+Jard0E3ypbgl2qDZuNvsi98gW++8L3d60Y0r3ZEWeXoeaEv34166TGIUB9c4Vch4jdttxlx5V/sfKPKE8XY1UDwv2+SC8hyDS7zEw7bKfS2/039cOB/KbrzZUtDc9ZrrQsHTWUOd2DWamJGstDD53ilvyNoz4JhxdTUGUgPVyR9JI8zXrMxtocmpw1XauyMkcpj5oGAMe5FZWyy7NhWjl4rJsGpONYFnLX4kMp1ZRMJ6jzY6PfSxbenAkoNnOTf6ypbkraEPDd/7P7wWrMC+AC/77nlLVT/eb5407K7q1ecZ6u+vyXryjsSJbx2dTqrQEyt/oMAPy0QtcHPlVDqr3KX70SEaTvH0sfFAQyFXy/qwxz/t7t0ZeiWYQGmsGnWl6jbHK6sLb9zweFOWLjD7ms54XD4nraPPNhYvSsmTiecPTK594GKs3eX0sHLD/PmOlisARDkG6WzCArQfjetvqmjrqZyCY7eOQR6cnI6726VmMXrftpOrNGscjZRY8WmHdZFu2t2mBRGCt5M4xcps2JgiRXyxIc+IRSeU8aphrAomOodGgI/S0yB4o9mmSj2Ll+sJ3Szrvwq736+3TGWCgsHN688rx1WmhJ8AXuh3biZS3Rfk65o8KtQ99do/d0Dy/3xZPaDipXuvu76C2DquIWMy4OUCdCLpgTJHwTJ74CU7S1dbmyG4nR8e0OzkclxFPH/FrJW9VzKq5HawNPsXvSuFtzG/IzEfDAr+bI81HmqsJn++xk1USccWGKI0XoNnk1IcHnUaVhqaymS6h3dyCkDjnaopWhDXts5erNKVQhPLeUWomBWS/OdkOIAlu5VA+ExaXmKPSOC198HmLOFltQ4cwUwD/AQDg5WDXwAYUr08briUzPJKVmXstp73mEQX2AYh8lCn/aM0mdawxAJwvQrZrqhN5Cgeq+2LjQzlNX5HhTsgb4AWeL6YyD8AWh9nYdc8bAZ+//fdkhf66oBVXI28l+C3X7HKxgU1JBNr5ul4yzEJD8ZE4qcXSo0lAgaOX9/uKEZqRSa4GBEmMaEDP/mVpppoWNx52Uh02Wg510wycoGUjSXeRbY2FtIJT4BoWszvL/mSz+5dEwPisHRMUyW98ey/bz5s6KKraOvvCkQNXdJ8UpWfCYP1U2IrHibyalHOU1h9WP7p7jQR1R9pVkC1rVHEk3uWphrWopw/v6r6BImCeM5Rozks529RPHHMcfn0FsUTxxz+fGF1V+bGVXaMsABPsRu+k5ukLZ9+d6y8x1lFacdtjHlxlfNZYICLsHY4fYYGcD6dBQZxmp4NpIFj8Ngq38kNFgQDRKxW2ihbfY0isJENj6nnasLIvfQfwCKq7EnfvkoU0T+E/q/OrTMjR77iH/458s7XIe9Jo3Hvg+Jk8feaQ/uu/VUE0z1pNBoFhX3pFRYePJA4ziCL6yHMbNMf4EiwRfKzMBN6eOqQIYppx55aIOPxAhyUrEBaNtIIy51ebj8l8r64kuUskDYYeD54kGBt6FlC3XXOm59erewfOTXv8vSwf5aEDHmwAqoV1QtV9u80F529OTdtBBcaRhmusHDCmk/DE0Q9vxk7YB1GXTjcuQsXDP4PCuaGciYsFloEMdIpkyxeEK+9u181XCkNAlIIigw5yggvf5rfZpKWnxYY01/7qbvwAzUqMR9UfZs+aY81HEX9t98Rb8DK2Up06q5+OU+oWM2dWAHNMmmwEmiOCQ4P5bQoOVLs/K0uKS3WI/5qCy2unl/2xPCvBiDOko+t3VIKH1HhRTooMgpNx+OG5YXqCHULpXNvrtQryQViXX/qvFwzXq6ToMSb8D0FvKdDRJV2OUWvxs6LmdZu0oDK+0Yp4uZux9Z57t01avvERsTbudDhLlFSXPFysbBerDddjLNm0BsuScg97jYSvP55MGbKzoYezA6MdbBvvMEtDq/Pudxg/j0PLQUKfnekwGk7CfZ0getpf8C+GMLxnQZlK3R3gAyXmrvxDC1ZTeHsXMCehHVTlaU1/zDFkZZdj6SBbzc17yfh2+Q/9XPe92xtzGjp8JcE32523u2Ksvq071fZCHxM/qmSrxg5pxfMY/qtF5WSz1JTMYV3rvdCXXw64J2fePlR1Mj2Omxg60bnod+DiOdVAW27YWe4xcKlupOXfF2AVO36PoG+bxtdzXfvsK18LSWfP7z30qDXq5R7Qe6p07C0JfSep5PQPV9Lhp+yaN9vn/r+xzun8yyCXFN1Pyb4JPXdfD43owc//higcuPyzRdTwo5HCyZNtfNG6wzhZ7937I/k+5pU36TtErcFcPeK57D7iNOKiEQp22oNg1BEL6HY0Hu9jcEsZbm7XhzF9JTXAxUIBQ04Kvmq/c4Obpr2eV4RgfT9b0KJu9gyXBSMabJ3/ZpdQKi03c1bTlxWyGM39BvqRSN8nGF87yGm3P07xoL16ywoaxyhrlRk5ua3mfu9QS1OHDiul4M/JKcd5q4/TAwf620pbRLEdRP8U0opO/aU90BFBuqRok8Zf8TzQmDr0X/IvZJ9TFF4SkyfVagdIcb9xDtbNGt4ilwRJJ0y464fOQ54c1PUIwVCjrNX+2HUvE1YrmK5W+fes3Ub145EK13wUVzCdl0xgvjJujDz7I9adkhhHZ1ZLIc1Lj9Wp7HkuTxdZt0/+TjKc4S5hvm+YFDGPrMejvOvFDQh+WQKumu2uGiI1BM/X3LXMbxWqClg7vZ/j5iG+bLL8B6S29UOc1G1prlwcwY+xP/qTC9b6OKT+5cV+9K7QykoGWZ3MvM1mzs4PnSRD5HhoS9/2ycmCFEuH9z6wvsNNgT6HzmOVEXgj5h9ZMhzJqJ8xVG7S5bMC0+7YqacACeZjCIZ4RPdtWYHNW9tUxs668SQaeVqLvsWgktah1hrW+8oMzWsdbPdbgmA3ru+SK+zxILetnTRCZZXrIFO61Giju7cbfZiWXOGp8lXjZfQ40ecftpVsZ5iSYpJEf9TV7qk3/NV410nAdsw3ssK7qoqKuRGbzWvb6md7ErAObzyWhNKuwYZ+INjHO01v3gB0Puhv0EtuAbLKpYxTbz82MY3Br7qVs4Erj3dPXHlqmHQHvwLf9Wh7y+LCNn+4h9bApD3biPxP39g1oEIdlVyhqGro5utpg0AXgVFQRmuwTG6IhJKjnx7b9u8MBPYmeru5AE0da7udnrwi8zEMlptuh3xb69Cr2481D6cc2s+btfiCQO2O6fEo6v8is45D32b3ECFReFIqbM2zEHHGQwxJ9N5My40Kc3qYZJqmFXpL0KADH3pWw2ybdghkbXgOl8QgP+cVnv4Xm8wVxn+RaBYriFQdyGw25lOkFVdBGBi0OWaqTbJD6z1YQywMQq7CxLprI20mCPrLNG5oYh3fcTPcFSWWFjCnSDGG8RHUGOkjt+OQ1PXR5hSnEwkhKWlR8d9zoSYoXWPPii+g9+P57fSxZ32VzJz3U0Fm3xtMsAqcQP0JKBndiRcNKZZyR0HFpkdreXqUYgwQmRDDgWfV0gFGVq4fBuAtTOH6W/QggvmiOYf58530T5URmNWTo3dtSedIx8Pz4EASUB3grvKLtSfdnmDvITDUnpBtlK1vc3FtkRa8pyYCQ3yaybvo3F2xP1qEqkTd1tYX8jEv9/quRs7fnPIL/3GgeVjpUO1fVRZBgN3z/YhMgbdcrvEDDtGKkcOpsI7NpO0gbPmQDcKBsRFEuoxQdoWWCPu55ZI2/IjmxPEL3y0J42ka9Rzc9Lx6/l3MxJo+8+qbDXN4Z8f7UEj6QDT4vyTYfe2vpwTMpIyv155W8fnhIyZMppRnA+MXV4iGAZSQSfTmlwrppgSKDOOhHpCreJdPBrG6unnfIhukvfiOboBM0FG/1vq4m5zdldeppuXaYC8qzd//09iFv0F4/7KRPeWZnm8CptfL9PLXzi1nmDmHpjbVSoU/1t/bgvejLy2oNkkcNuiJhupZfSb97lf7wjFZs2pB5QjFQGAxgMH+bl7SnRxmsr5UWL2wjXF9Fs+pT/UJXksAE4F0B53STdJ4NaRkRO7GulvX/FWc2P00E5IUM7R3z8RrVGOWxazGoZt90UP2904rYvUt+LzD6ZMgbMDmRovW9CJWkpryMbRtTXN+iQ3lyGsaFyr4nwbeWxUawSTBiudP27Pq/FSRHtdF04aYD0nw54Tb93tka1g9PfPAeYE2US8aozIG6mxgPZtgtxKaUfDcpVOgDLLtwHru0KmEfY1TNV5VgN32lU1ZqeZqkg4zhN/vlukwCLI23J82irD5tM95G1VYawCVX6hLHyR6blr+RdkUrbWhn6Ku9iphHC78gbPf7zmSVpIj93VVSqPJ+Ebd+r6+AdVFbzrq+lbZ+Kc/6u97GtBDkl/T/u5X2gYU9kXDeXt6gr4Q0aJtnxC/AZNdCiHpe83CIMocF0ShNAUxE3VKTpubOH07GN3SDee3JwTQEHDejuHjpejTjiFjrOF8nyVMZKN8dt9rcjTxPtCuKSZrc6tX6S1XDNvgdbr07whRzgLvQFKzoVs/1a4cQ1NuqZNpiZM1srER+wdc94KVlgZZlsm9PQjwcABIBqYU6QNC12nxJRZ+wZFtHOvaOs+pnA7PtpolBVur/zutyw2ie0xVAdXoXL2m5aywCDWRmFnps+IXV1Od3JXRjIWnDDHr7i9F8OLgpR0R7CWbEbXvaN92bDrV4xZW9yxRuUmOADJ0QWJxdy/taCK7HLysb651k6AKrMxlG61CxpvL8EgE86yDC0n9Qqs5OzQm/RbOB32hsqHEjpT5a9UDVBx+Yxae5kxd8ZIRo//2cB3CVUDOElQ+/XSB+CfnxpTm4Cuf1nTahZdMhC1sdYHcWLesUxA44bU2dGWTe2MH8G/XxG+770g2MPvcFitxHJ2ApIixxH+XNf4a0x6PctrzcddtyJ6Ka8tK1VDOGsIZw2xMv9506hSIVRDD1ltf8nyl3fJoVuwCPYHREtYNJUGh9Y4yPmNE8d3g6D5VQDJWkMDsmKtAWa3iNRSqaTY66RBZEkLuL/fELjvAhSoVu5WMt3uvYQ5eDkCJFc9q+M4M0SZalg6kwpqKeD9foeKaxCE1Kmmj9VmAzO2RwZKygXcjMpBbbXU0t1PY78XA6jRE2m4t8CAKoD5Y34crfqUJ/g7Q9GRbcwYp5YBYXhE8OUImDd2WMPX/Wcdqm51xJVy/vkQwwvq9SlCoF+OCHS1FahEKh7ZmzgHcbtHrxaLotKoaMUW5ZLZjhGQsiqbXS+6Gn9Sv1zoHTrcYm861+pmnjuLMA8U1bSikWkfrWybL0eKHbhF+hdtoSpuHroFCsYWqzSk7odZqnYGCyyNU64zVUE382Y61++5HlWfJmO2BussVv2nOUI7NhtpayKxCiBqTn4gZUYx6y+Jc86UQnWvxnNHHj0POj3cK86gmhmc+1o8cnE3ki0Xl1rv9JlELO+vw9T2G9lYUa4tRp4E/c4wPGZ7CLaxaiVBGP0F4qp4vcwDWrBytcX9qAtt3j/Txhap/UmovVSaMbgzdn271aKfUTUnFo8mhot3ofB51odB0/DAsNiQI5ooNz3xXNJzKS7utoWJrDnPIfxnBb9SAxVMR7F8qORK9rl5p257rjlUwVm/uPHxS/Xwl/VcLcz1h1yqH5rr1TCDC+g9yFdZLC/xj5ZKn0QAzpA2vrfOgaaf7QIT11C1zcYB6BZLFVb5Dc6i338wjLb9142+m4PeF/Sou72H/bomuLvWrBSNQgSN0kmQ1xoJIXJSpeZwSN0yVErDJfOLyBXDTMEcGmWZDlh32tcSAHl0txrRWSbyM/s7SVDGsAzKn3u24m+IV7g9ONiTCJyGGl/jO1PLThmtLZWd3tCe2gGNFCLlo5dF5IZq0GWvZrlXOdxlKv9SPdfufRl7mg7dWtJKUoF15m7Vk9wrIP+K9QbBU/2YFIJZD8BZK+ePmzAn/xREpGhk9mJkoMgWGux3jG1YC1+W+YBrVwiXmj8cP6Wt6WqpRFWEVPGuSf5QYRmQrDIVuYPsKsYTPZP67YRhFJqLcH4zQE14jATA/PlvyIx97MCwbNkH3PGzDlgALx2Cq/zoW6Pn8ZPQE+R77EUUdFvXMoKTcXB2h9bLp+2YVsCNg1itlWT8rWvot7MfKGCkMv1L1YcZU1I4Woma76EOrn8SzGvJvJzHoDlk2NJ3hc8SejAP1rp7pmRVttiITbrELxVzd3LvFB02Uj5PCNnmI558bY+IoSejRshfK7Vt4sNjw9cHkRHEAZEPcV8Y0Sx3hA9Tn8eu9sR/OPT9RIEaZ6pwFk4R48gWHRCGvhjyNqthx6082WVtL0l09sYRt6NI/Ghef6APAvX0bJp9F6KEHDl9eW0VTbYfPbQvo1qx9f0wfz6Or4nB4w1YAIpZqcNXptPVHiRHEf44rxt6+cAh5yPmyq3Nsms4hxccLbKr5zVapvx7rn5dejHlYdEGW+zTaQdJmTmIYM+Im/ATnCT2cL9xeY5isDQqwQnQo8OjcoEutHrij8G21l/H8c96B49F7aqHSwkrj9nl3+iReN+QYLdglaPbea1YxuwaLWNUIOCzxJWYKvVPy44bU4bHaGOnMRhtfBfDxC4GqlVKdfn3qu3qhSIt9o/bMEDBMkdv8PooS+Fyog/5Bz8O9GUr9RXPL2Gj4DYnjcvNNG8L6SghYsiElJKi9BShw/HDk0LhAFJNCikmJeLcEob7DvWqdJMya/VcklKVOoJLH4nwcglfhrX4xxMskpEuHu4gukkZNCQxgevrMvd4pZsQYYtB5czUORJIUciB8UI7+ArwOHHtH2J5MjWte8Yj7hvWUzM9s8VTLqlHq09NsNT6iQkX8WCWwjWuD8z6HGZ9hgOGm9MexvVN4hJUM0aeBIRRUlQrsioGJZ5sneFVwww2e/ZHcwNuELjh1eCL1k0trUfGE1bhd+A9yNJZP7H0hvdW94QcTkmnEX/0qVVOYSxIrZRNx8EpJUc5RQXRJNjniS+QVLC93tXeY5T0f10xknHtugsPpsFWxwg7zYKO9yQnsPNGSWGfTqM6zg3zj+VfVUjJ8dYrsZch3Q0wPXms/J+IHV7Typ5bXOI4PTbZTj+xOdvry5twRbrA9fO1AQl7Ic4PEkzGeryFq7wAbPW2RhkAnWqMoubkUQKoKa7LrFnETKxGMbNTZhpWYhW1RBZW5fyZyZ9qs+r1QSmhiue8O4oY/GxyEjOZM6vuwzh7DhacDaKfb4fVebCqeDyl7tzAV8FaJw5aFW85Y0TBu9kHGNDAHE8VlKIaPSiox5LwEB5RlKHDCinUSXHP0daCzmq71StvNdI+0ziNGwAShmPWDmuAskIXEcMCGYmOEXBYmEbPbPN39yjXGP5KY4CiDP9zQStXZtFMm3Wx2uYcpi0PojdHbOnEC6pq1+cMk5tRlMzjwsYtBIML7MnaOBINfulPmzog/ohp+WLCPBRCYICWa6i5xYdGOhgslpSzlzesC4zneC+cGteCA/GzCc9TnpqmFc/286emc+gc83fXsulQUzphTW6Bqm2myoyVmNPwCa/mskywGJaws2JVhxAl2BLBS2oBZHKFjFlTx5gmBNNPuNHbWGV0wWQTDNaFGB2UcWlvZPDzjoQsclWidkx2dQpEPaqWAnM/4uh+bYibJj9Lvm+OAmK2nridom/8yxj8beqhIgzDEksNDB5LMmFVYyPo4EPR7SV0IkPmRn7v40vFPuOb1qgx1IyzzKGfa7QFJPqz9NeKEFJAnJymm1hiaC+h3Eq/tYXHgyYamJnaXSJ34igrdf9gFLzVxMwQrBiXlpSWjnedO90bUv1O7/8F1RavPTuHqsosKL5p1Q1zuQJV9t/8pF5/GF19MTbpvqnUNTVpuBO6wNsPlSapZ+MPk7uheaiqv8i0cctWTedReagOyIgwi+FQIwEZq93kmThpjLPbXtE2lctiGqPaZG2E0ODgpSs34rur5X2miyQZy+Z0E0Q1F+nOtY+zPvIvrRiA1Xtz3Z4UlFP8xue6v0eImEWozd3QFhEBDBGEAIm6Or9AVNb/tTIyopxCwhclG4j5VkwZ8/PO+no+tT3mezue21MbfIbpmjESU0vdjavJ9pRfdgnvFKfuzqnxpIfnkn6gU/N3XjCc3DdL8z9dhodfm30YAfBV3P1wiVY49r4BzW3AMWk+dRzmasGauKeNN5jeUbMBXvR90PEhB6ELw4Ss3DOCMq20Ia6zs45EqKSUb/nxCQNdkzWO8b/Z0cAb0g4vbM1T55VmNGbC/XeiDapHqu6U+xsaT2Tj4hMKO7AnUv/7cdR4DDdotEJl0hrZMWmvE+wlmUhzb8sr6WMDcTlO0rihvTmA3bkghWeHrueB7O/+xpVnlfhoJUjJt9Z/wg+aF93YuT0LE/akXdq9C6HXB9dcsUE56Iiz5KomuMTY9ZjFD62neehsh7W3PMmj5EoW+7EeC84oS4Jnq/r8dGgIM3ja1C/b15R26bOiNIx/cEnr+RuZL/5VU/BGJ8YU17s2W896XsL2n1jwAuL1wyily1rqIXALrXuBjdPK04F31i/ziIlA/J8H+eHxjE6mnSEAAk1S6U4iD6vO5qCfA+7C/vs/xplofnFfXdIRuwNxC5RLZpI9DrGCNa7PccIdwAtSubI0kKhvxGDR2OpyfhjWIDWRc3FO1oPF4NMuaio/S17MF52764byfzLqJjIlvtNAa0sLPd+XCt0EnHYoLq3O42h9pyQL7drqakQ/3f1Y2pinRzM3hgOuAYrbDMW789uxTueRjn0S/nodXxf4QMSXaYj8dTLrCC0IhPXXDW2Bki9PH/59K2hTtg8ZYMuERy5IgfnsSuDwygex7XWr+0yjhChLiSwyRfsTXCqp2xQ8yjVgsCjjmDSxcpeloJX92PTf1IHDCyAYhQNpk25J6U0/NWB6aJdIO33aUnNTo7YM6xovIBXHtOYxLMjM9w8+ZYOJcNxVx9Eja+NBnQmJHcvVJ5K1VYl8fqxSKhPjxj4XYhmMCfNU9cQy4gOXEwVRcu6viPhnZhAbL229ri5oYIPsJHNugBH86Ly315gSo1PZNKeRLSlF6gkKiH+Abk/ENIlrmdIWlg2OwQkV3GdrDygWpjIYq07Fk1ofBOB1ikJyUtFouno1SZX51KTYs3En81sX0Hr30QHD4sSHGyZKcE94fAGN4lfXrA8zfsErRyJqea+UWnDd19p8EN5+WGX4ZswUeToVDD351sTs0bBk9JDTtv1uBvh9zMOEQ0kyiTS/xgDadFHd8h38aqdchcl1h5MrfQnTYp+kM1mPYUl2wiQamxKrWEOTMVliLU3WsMWl/aBhNNXSpUPCXp3YhL06LQl7NcLRHvnoYv1ukrljiMbmhpdg8KtqITRgqqC2KnT3s2KeWIF5HDUWYze94EHKXqanLF47XG+zKeQ71QNDx6HCXxu2fx7TkNQog5xaTQ5tbOGaiVhJRcfwpwXEceP0pHStDbLTybMZuhE93iyLS/1ep60gYl7gLtwWdeVjvmxv6fzgDjl8uUBY1rTzwH65NzJ8ObpNnCM3iv8102zv3Xu623dn3e7B7ulK5+EBJCloqWw8vHJAiYmO8rTcotBi4PW9om8Mac1zKktDzVuUWbK0sqq2FF8l6mqXnK9Ea7zd4ul+2vnLp0XWnsDwDr8HivoWZbmNXuAprFFtufg3rxpEQxIIB8xNHmvcKi7xNTzA4PtbBqpBNCA/Q41M8YaqgZjc20q/FtPMG0w8/dWw3qxAch3aZ/2mmcTmclQnma3qGqHmuoQg1RwyNfi3ecUBSnOtGLJEWUR+MqZuLupHLUXxI+I/i5/3pKBbkIO4tjFpcp0BActxK6fQl1wfBQvaGygk3BSydNL7rH22jkZHSW6MFm5fUM2YHY6Tb4/WhLOxdSqdaqAdkAhGQMQG/d9xcWyC7M0hxdrbNVKvO1amjEmNIMoDx1aRUISy9B+xGfC8LZUx5nUHm/tBrNPurBtBhsQknMo2VZ26jH0BC8Ib+l+5tPwos+wPvAYZyQvpBlFPjb//cZXLvnB+cTKWz8T80a4pcOkollztdR+z13bsSCT03j3TZKeMIfLQoool5ffEPL9SYc1oZxa4OnmvPYHHuG0OyHC2oGCT4cZssIFof/oovUSTzHEMJVpcI35srC/CFdBXrKyy+/ELJM72sUj02O+rRMFLq7U+PPYiF5ZKn+4HO2McKkbjdwBRqi+J9tcRjMjA8QjToJckOSFC8fq3jepfI9JKLi2/9k0ooREfvCdHSmUMGlK8ubDdsyJnRQxJoxv0XDyc8WWUgpdbUdjdncXyLo/33uOgJTlSiPedgZ12pZT2LR7L6L3D2XnKZ/JnBBrI8oqjne3+8FAF87FhVTtZBohcaIO9yn92N2M7y0DKrIYWoq6EJizjfcMd5sPbzV1CMLCc1l0Jzh16KMTHeVbBYMtZLeBWeSzdmS90ML+NPMxWg0a6t99eP4sRZRJW2SRCaqXVA7X+h1fTNsxN1NCCNTl0mbXCKXaZ1O02T6+dwHolQ8eIu9rHiY1TdMoM0snz2nGObYl6KY7ANexkI89gyGkoGIPe7fbdS/VtBS3cXX4jP0EZXNKaQXyY1hdTrITMHrADIx3pq2q9qitSUs3M3qsMTMkSz9bSzDy938u6ps6yhV20BB0+vn5Prx91VoOdASUGaMSvVu7qQvF+eu6zbmR4jVsgLLuQW6KOQSqIS4LFsRxUwbM4GmwbeUFKND0pJ8QBLyGipBIalypnntXvctY7VJXqJthUVrk4kSTFGXH/KgXtrCVdk4Golj8IcflxkdvmdaAExXn2HpUlBPpwJpyWKoCwUQungNmmb3u4jd51gSoIliDLkbWWbnto+XpUJRvyAB6ClJmH8RhxnhOuzKm+Zp3hv/Ldu90CSg1HdVwU/ky/G56DPtTf0/OZI9TzUV2m5+VP9bMdu4BX23SPnKeGu9XTUr05HptT0Ld7w/NpxPB8WqoPL+N2f38M+rF6RM00d6rNUv0Of6bDBBP0LyZJtZU8NNytNktVc7oWFaeYd/gckEeGL8JKdq1ZbvJY+j9AgEoldf5oSd62TRKMNdHxHIrOfUv0mW3RdVZGzwz/Kjs3bQrDlDxFHz0jPrzO/taPX8tbB/vKFlMWtVBf1aJoROv2I/hhQYuPylpiqGj5UI/GRjGNhjo0pdFqPBTShKhTU5Bad5ExaxQU1UgorDFQl+ZFgRbLqNvOInHLZpe0jMe+lrdIWz67qmdBiZZNW8CZ2uWr9nb9K6FTXRuidTs0MsLyqfjqYI1aRdCtcJppAC+q34iZ8iWsatD6f+V8xq/u11QgsXknm/Bt4r+mfk69Sv76WJQim4ZA25a7vm6SLD5j+BTxJv4FTp+Z6+f0qmHumlySC8fQ3YFQOLHaeFYHFvuxept4rkkcfhhcPlfSfWoVSNVp9AlNg3+z62bby9WNxK3ROiA7b40EISbYqP/x3BCalOgteja3zAXR6OdhwtWQ2QXlrU9uFtkOQ6nEksGezJkPp6SQ+ofFSkvW8IGxTB1itm2bUjSXEkaOEQoQl50NQ4RwYuXyLQ7axCOdcATupLaWwsItctNcB6wYgD5aL+YPufUN+rZAgl431+ePPfXtKK8n3gaqhsKXfMSWHMdY9AQVSjqfJDuKoi036mrpfSq8MlDPhXpaDJL1KMTt2YjKcVTbchVei5y10UeU06POi4aGi34L0CZBhQLIfYPPRnd9bcT5/zvEVXfBWyT6+PWEr5t6NKPuuycbemyj7wmJ3NMXbY9nJD3IF/fwQu+ZtM09M4R7cPH0CNTbU4F4D0HdPSfqaLWUxgwudfXoBR8JqBxQmLN7N/Dag+s192GCyjX6mlhxWTS7/nb87bkKELClNAre5yRGTevxRDt+t9dlPe2fH/sMvr6uF7UmF+AypfNZivotwAuTjjqQQPwt6HU99/EnjAemW8K+c8cw0Mk9GekPf1QTHz/Udj+Jp2Pt5vI/RPW07npd0KsSJVgqUBDBgsG/l44JEL0cJthYcrB6UtLIJYfWYC0Tp9Bwi/+lViqDzSStaHbxyqI1NVpk7qtNnJSePkPxWXnKNp4JWPL6XQ7EMpfYvW5bXQrm2MnGsXaKUw59PRp4ovTPtlqalpgpSD1mogl3k0sL9ySFWqBPs9S0W/DxZVuNQ5iSr21TS5batMx3a54e0qF0WhAlY3CYItICBu+dBqK2c0no4yFpTQC1XLVJoHO7+zEgptgHByJIFFjO6a1XOwh2mgpGjHcv//Z/6mClL9Kiky/+wfgLD8IRg8vCBlewDjBw46nsbdc5JojzUX2z83wKuMs1etI7FICgTQIhR/jeCmxaV+DpvAhgHAEKxBsJ0lQCl/sKEF4CItTiRp//4B6kQIPSQm8HFC8hzyLZOI/TxIlmJkRidAPPVs4SeAZWa7KgIFvm709JZvi+0RWGx/RWiziubtcxq+9X6wFugZnW5cqRo1wbQRr+AAY0LbaWOQR2PN0XDANPOzg0Vupt15HpHrP6l/CnbJM6PIUJeL2DA16vjQJtY+uBBY5J4mChzkmnnmTZPiuhmfir6l3bCWuLOVy4x6yntcbY/okQ28LxrebYzmafg22ABqjsLj/+i6VshU9DKj61pe+GVXfGVbOoKaTfEZSu5D78jf6vRvJo0bRKxFUuJYcUiI08xfvtUNFQqbaQyKERkd8nhRMR6fi1oLso0eLdISqlMITGEuKsRjktbWAlZ1gvh2X1jAOl946XzQLIxxgd1+aMUhlwYAqN+4uj0czC7j4KVC3odNhGvtafckqkPWVfQZJ/ArxI5EEq7xWMcQSe+o2UbXmh9qhEeF9X6kh6LExcdtXkG2ly+Uv0N0tEG1WyXNRhor1QLf9MVeI9b+Zl3GVNGm7ZWP0VPmQcjmMyyQLLL6MfGZQiVfBT1/IiUL5ClnHxSzfY8yPpcchGlU4XWWtmFQDMT0HoKSdDZ6bAJEpifhASuT1KLWXuv4+UP3p/+BZO9Myqf9e9Lg3YcZXpkJzetnox/vAGEVurA8fYQXNVCFAsmmK6cwl+g2AHzVVenM8EMDWT3o6sLx1XXVq6jbN86bjKztgKhU+n05fgOznGDtqrDQvwAgEdacZS/hL8BsEOmqu8QIgDsUK28GXL+3SlWDkf5NRyy4PGMgKCnXUDDx5rXcCF8zsbhMYCBOkEAAAAz4mQuIbd8ndlnhGis+ealfSk1V6ssC+RDG5Qptka1uCAvyOv/dVobdPqf/4nQHm4B6ypiY+Jv79Fy+asqxdtKrfB+6ZCssk2gcnumfRT5Xo/6JyIXF381aaY/X0DEigFKk4G0GiE1FbIQkQYC0wqtU7yLbJ5edQ33Kgifwts83UE2LiFFgkCI8iHp323KFTuL7kpUgSeoL8LCa3de4IP1YsSiM0uBzH5MdPZfrdwLWYKGtWM6kHAWNxSTIy4WAU5m1ZRtiDoZ2f9imSstYekGw/nm3efDwqze5XGctGdU/j2VvTQ39RQv2M3/3RGADbojMj6Xab5QttirdS4fMcT5f/me/fy3/Y1EmVIJ1U6Fl2D9Q9IxtcaIxoFnYOTCf61NLGykUCPLGULTyJjoY/WxwR8x9QKVtYkIcuZcF+jQvTz0yvOI+eOqlotAZoaJ22L6lxf6uAyOupqYDaWIc62DM1LGNxn/5CUprud4gKRFxqu5KgcDGbdvj+JCNuOF5Yu8+OU/ZAVxPO2PVoeK0lQcAP50WVkHlBZTEriq7QOrKvzQhlll0ep8f3SsPvPfdiCmwjG1h+EPotcfXPGChuSRXU3PZLOclCthfxDq6K0sE1m2F/28GHvqzbHTZTsw1wVJ+g4z9l5fImtoy9BKZ82PN0zDL72hQYx/Z2basLP4t3HOaoe3vjOLGYRT5zw4xkFoeoOMZd34+f1DwDN5dOG5vygayXf6shc+iGomkc/BKTZY1cu3Zsw/OqmdS5yarivBb8jXtTvJxhXkqsO0hh/l7x5mEPzmD6uLwZouDQNQLeJft4oPH34BbF8eFu/bhoHE1PNoHfHKpqR7zrxU9cmUI7yoNdSngj8hUgUAKqCXWyPC5A8J//xghiF/wus3YO7h8tExga5DLXO55MiTc6vEYip1vvXBcRDrLmpVbnIXsWE14oTGqxQUVsHJWo/UtlUDnVNk8FiOcqv45SxnlD7cOQIwIU31A/03oFVICXSvI8jhZ+jYGiwCJKABDKSwH2Ksw9fe0HIQ01Tu4gn3TKzYZCId1UaNrOjmojICdPrsDOTs36laD/LmOK1JaHfwRCqP+7DLpAtg2Hf/Tq0eBJAQ6ouV+m99MfFf7B7jzGBpHn4hHg11g428zR357nggSDfVKJe+tqFMiVD3tQOdQ9UUQlYMG32jCqA53LqxJuPedm5Q0q/G8tmQsjN1Q62ryaJXprVIVvEvP6t6nZy0EbAiP05SmBw7gCs8k0FW9qK+lVQorEWSXBzJy8qy+De+AKIGpQ/QBWn9EtSCzxJ4gWJoUZwZ/AqJzZimu/9dpcArU1vSNOxXj1E3Q00n9enDSrv0R+LhZXnzy8jquhHVqu8oPmv5sFmvS9mHRMUIgKGmVPRTmOfRHgmTngmdvuf+dj3+hD+sq6OkI8y3nGu68OcMLQjxK9XS3KZoqrZ0SSmFfW/XgfubGbwYyQSlOTi6RE2qhumZ4NOoEhceuw13PbYFo5/1VurxL0ghRRSPVq9VL9j4cB5DFBYOJ0O8RvWzTbRNibyraVh0BM7rYwSw2He1kxNYc+xDmfGvgGifFzJ1nX57QodkUv/GNAczPjNVh419QYOH5ZnGwCKy3Pe6T8Z65WmnuViU79CsqIv7Rvsg7FfFEHMddigGBiQQNiQlaKn9wwvlkGWiDe18ECO5levSw7C06suRNNdZeboNR73Kh3oTVGOIb8nEzZDIBonYlPtI8RLVY3uItD6FiwBpAinyVpjGtbMbrd7hQ7qgf+ZSWFrWBmFkiAfpNImowCjrU29sqYvjK06VS7Ru/gXX1oYZXAIrtXcjyftKIm0z976U4GUIM53ShfXYB1k79Th6FQXq/GIyl5W/DViBWSLsLJTVYtzSBFw1nNl0O6FmavCF/kWK9LYu3DnLlYRXZ3yqu31/oPsmzG5aeQVhIA7hq9iE9ypvZheSkC1fXzosfvhTpN2y52NJHDZaA9++5EKKomk7PpTHeAk3NqmrcU6WIu0orDslWVkIf9+/khU0EuMz1PMtR7gg+jMIQeX3hXbTLeXYJqX79iuwZ5DejLjEpdy/owm2iUvLdHEGZqzqoglVzzXHNDim2vyxGxQrdJOWYikIvvx6ke1CsmhLHp7aZ+cQ/ADTdbysdf8q4q3/NSIi+DUFVBSOcoOENPnMD55aqBEAEFvZTESm1DJ8f01IDOsQkwHaMhlERywZo/B8yVg5qeD9s1ydhDojYhN+OQVUA09r5N0S+kDdcdvcV9q+yq9BJk0piAC0imS7FTUfhY3EksJpdDZReSqQ+9qHrcandPgyc+qoPSf0KJRRYYG8NNlPS8/Gz4T4MBzufc82p+3hKD4cDACEHEg2khqtQZDEJdBrL9KZCcUwOad1IoQpjcziJ7Px1G4L0CDpvnECpwMjRCYnf3gdj6QdSfg1sSJ0vw+cGf3wnZZm7koibEz8ilidAa20CFl+X3gDvNXMw9/WXiSFWr71XqcoKg/a9c/o9urVGz8yjtfwbYFuHAwRRUdl9LOV/is15my79rOnrvQQFy9ZdhcmXl1lmcSQzK+zauv0DEqMa+uAkdYz1USrfAN2I1dGAn5VG8ySRK/RCnJW11KM3U4KD0nr23zrkAYIGNI1fmSbe51FymD/VUu8/EqHY5SCF/dW76QaudbHr0TOdQzfXMsCHMARwgtRyOy7dtdd9we9oI2Bkc9I3FBQXUsBD9Vbeq3GM0XNzzi2JilWXh9620pCMIkHO7M1O98eyLx/XSL1oCUVaxiFX5PJ44fSNLXHJlqA2yNSNEHMfKNaIRIwSs1J+wpO9JM9gRK0JiH5/N4p6CtAj+CjkrrlGw0M+7T2cAXPqMSfz2y1TkU1FMYBuNz93Xh02kQvM3RqqOenp0w870qAx96R84zv2dSOn4Vg+1LzRg85o3ARPtrkL/ZkRD+muPvfKRNYI3xRwd/JNuxI+kbjeM40ucv5eHo3TIWV5d5b/OcY7wwXjpbdGhKNNIa/qP9W71aQw6TP88mT1L+/mH1foAea65mh2TYpbrbcumvsUgziKONURVl2O7rtn+APkT+9CW6GkG47kXqgHYwXpENyFbjud/s83y7eseIxXxnnzOTE2pLgvfZlBsYX+IEsjDpv2aAwJPKDwhAYVzL4nnCgdYAlcvaV45OzROPmnVt0xtNT/pNCiXkdyX1ChARYoqxBPwAE5O0CxyCvyBMzdZa6kED3188Cg8+WBb84E8/STQ414K0VZQXMuGyaxvnrUc6gYHE1bILOFKIIPfF76E8l6JdbPXNLmjfXNhFuYtnc1iJKE8Nm0PA5mrbU9zD7qLhy7QJ73UIy2PajhNKeqOMJnHqhIUVGVcqY2Dw7MrKcr8qLryYM2vHyVvzoPVwXgLTY9nP1W4f2iWtqg4Q2OoMYaM0SdBQm0azDCpFh1Vzo1nkC0iZu6Cf2UrXT0BsPcYKzHj5ZFSXkS6Db2rCkUEKzwiJs3O23LqEVeHvKw757hgy+KFcTJ1HlpsRAfQhXCsST9CBHXN+0crSB4zL+ykgsRJ5h7ogp4K3w/FJQj6roJ3744gPiC/GwwepBxqA0UeTL47G6QUNvBa4d1pDQNepcwXr5nm0KrjukpRX7Vlx4tvt6lru+BwRd8BCjDvHXazHg+DB/rE5xN3ywzJ2o0zR/sBSd3Y5tmc4ul5CqGuW3xNYW/8M902N6sojzQ3dN+B/BwNyhskkLKwPZSRWFGbBOU3CRHegp4NvHSTUGEUM3lEKSAQ5lT+5swPqe3yWf5nm/kNerhoufZ37YymO8qxh5dN+VxuPuWCTkNJozQExUqgTvS2fCn4zxJlQK+Y7fur2sdlZx3eivrD5A1SD8kcnMR3LIuVXqK/5tKVMBcZ/wAQI/LD2wfamSq1pQ5ibI9XTLMPTyUB/2KT3SZqLWvrskN5GSFavGlRzFCQu6Fv+/9CtrJi+5TEd3Ss+wY+7Q0RFC3pK4aIf/Wr+KQiuTLY1TFris3Oo7B25YN+uKpnd1X2jKvj3tpj7Rv2jBYdqgP1v/8oQQNj2/4dNu24Qgoj4zIxwB2mBIPsAIuer0xT2nQkAOTpcKL3gAFN2OVjB0dvWzzFmS0DOvbSrL049e1BNXlRtlJuwUlx7Rn/Zo69eX6qpX1H401u1eICfpQZgeqwc2wDRj06nA57FsCVZBOMXb8ZrbdxvmDJ7snoEWsJx5B3GQ5gQMLnu6dUX/1ROdgpw9NxgCk0UuHXp+pNwHEuoxR/A+M9AGQaqUQOKarQGtYhtX+g+dfAi44fgDxeS9wK06mSh3MDXl9kwfDM7Mn3s84tTJTQFvzBurCDUc0pElt1mtEsrn25MYZub8fIfMjdqgkY9ElHwPi9hMU8BxPzFJF3HMI10juAUClqYRBGxLpRFlciFbJU8W/rSC6JCOv3K965zswPM9tR6PUuizjiu6bdccTneI++37zmNcCiLYEnXJSyCGsKtsoMvBe3oJfdJM4s6CivBD3vX2e/My/V0fqj+Zg7f8GZD1mVzFNQYvN2RC03Ulo/Kv8C3jgQwyMoc2b95OzOLitq3sdGAEtR4mKXGw1X8gPxAhoLj32Szi3Jy8id/BLXAJXCILnkIleBtJT5hr0AWQAXXbhwcnZzdunAlWK7dGFaC5p/sfyln9WpPua1FOIBDGBkIFALvITNTD/1y1sguEW6zPlMK+m1dea0XX+kK+3mWwnp7lJzW2765t/E2iPuuXSuyS5xEKLUwmmcprLT0/FAqnkl6TDnLNmJlN3u8rrdrfTb777PdfL+c7Q0RbRM12yd10bUbhwHlJfvTdTk7yG2V9MJBvGRMILBwxSW2h+5BaDhG5XbsFk2nVgPpnrpFvMhFuJM7VU4v1wVMovANhLQv+/Hw9DIXpJHBGp7vb8qZ2iCbJvDocEc40lH2EHHPxkKvpUlrGN1do3lq3kp/OxfPl6CgYWAHXP66cy+Jy6onwVjwVc54VcAgKA6PESgoael48rpycWDIiDFTZixYsmbDlpiEM5etK7YGjPZbeS8HqLXq1eOE5MEIEVJWSkTcWhk4Z61ehdUdxXY27rlWePGVmCqsbrmRzynjM4z15dnApbJdNiDkHgzlQELRNOt3etRZnd4+udrMtXx/YR1RPnzOo/myXLTB77aBPZLhqWy0GUUIUhrD5Htij01+Q5Z0chkJFDoH0l403wAwWFDIUglHeIwgk5ROpqEAFvVgdnYAw1OczeVjQf9zZu6UyttEqZN/n/X3P/7XJLZz7ttoAo7GfuTTs718FONjZq3k3PPvz55zOd/eceT/jibTUWNHleuKrqU128zrmAj7l1lj+P9yj9FSAlZNKlQeuk8DlBdeP4CwDrhadGYySidT4FE6MqfZs+5ycajU88FZ5WmW+PtMxj5rjtFl4R1J/i+fY18K8jnm+a84zrbrUBYZPKvjQvqJAmCCggpmRIsFYoWk7RMDGqwQHQ0VER8c2V1VdLEDrYgIq46s/v6JsZ2/SMncPsfJgfxtQNoe1/UMBwFgC18+BRAGgCwcdKym5GFZYAx5RKethaKeKD5RwenVsiONaVnKl/7lNu4bvRFATznJBMJNfQ7MpUea9fdqOHnDE71hgmC/PDssHerE7BBEMjB+vDMS0mkdsYp3IQgGjaLOoGV98s7Aww15QTheK0z67H2+AFXG/0uAwNtvUiUPY1otlydYOYyHpndCjyB0kTo2vJ4OJ5TMocBLFv+wneDcD5f754LYqvlnDipGfed6rbefzxyJ5Tpl0m+FknnZqmlVWEtqTe1pvcUvlFpRBbr7XZvBHukSDLGkZjt7WyrXNCu7GoZcOA3kl1ybH6fBpxG2xBoadEcW6OaNc/mcOjPKSb0/JY2lq6hHx9QvnSajh6lrkMbdvTVuUsINq4BPUk4EoaqaV0Jh1IW5URfqSQ3UGswmd2N4mg6TO9l4xHFxKuTObP55ItIaHRm2apTtXwPRyk9z45zG3ZDWlO7D2fqqW4uFCKsx7/ulQzKBLUMBH7TC8CXxMQF4uuQxhGg28GvMgJZPLZhpbunIYV/GPkhXt4+Ti+04i2BrpJoVKMULx/8r8e2UNOhE6Ba05sl4GfesFdM46MEXrmQrgt7BevqfNKHWATwoaVxs7bZjwSTR/94dYsCq+e4lhaLg3vymah025Pjcc+WYO1WfvV9HcnpdNmhQPA1fgVQheajhXuqTT7Sbivv0DmpD3VjuoK039W4mM8LYUuoZmFFAcAp+gzCt1Ziy6phcZnynLcPAWlAa1keMyGgVbEz+KZjsVoqoZOwyp0+ehcFHoJ0gQjctmOHVTC1lm0f5jNanD7PnNUxU9TVH3KRMXLSlqHV6d8NW3f+cFyVd+847GBMm7iiJEvvzbLcJptic2FPFgui6WbokazS/XuoHQ5lqx18Y7lCj81C/gRoWnxL0YjLNdvDoJNWXeyrVQMGgrR4buYMviqt6nKJparpGGEYMCmiyLQkxte3yKPaepNyjLvDTsq2Su1+0E3EFmP859qGYneRwfmOyPZEf8OaIPsF6b9e016mn7b1U6tp09hPE4g24/vBJ+w5aJHH+ggGAJSUd8yS5Pj/cnFlGWYPXtnosLkPU+lJZZyVTkCk6Kk4cZ4peSk9Q9OK2TVJpZjUOUsmjn1X89p7DGmGxFazRlLsBvMb8gcUGOMLE6fDvXmOHwlIRlhX0MJxMxS6eTA/McC966Db7LiZiAZJYE4xDgIQzZiE1iFiPI9vJW6eMOhuADXBHMhlZRRiNtIrGrNVlZM6hS/iFENWGO6FX6HR45i0/wl3oHi69MKQ5+9Pap6cXuAHTZqHdu8bDSCFnuseyAfEwpoahRrrtfZH6ebhTxvOc8TFeQ67eH5KKDRUiFFXasSWbkCNqNEdFKoARIuOoFVUelvUa6ggDcwkFLOGr3LhFcoVZVHb7hSJlXA5grU0lzDpxyx5aVqo4+xf8pNY5KlCGDgWz40sVYbHVd5TsjRQU2OBhwFK85FFOrYtTb4aofZ/4OFi3b2ZYJ6X/iC7H9TSI28EzVtu20L/S2WprkDyComxKE0FZYmCIYaDy9B8ZFKG0rCwSp4LhR6C62iVbMY3iaGw17A1GtBhG7xdXxrF79yf+b6GJGVIO9k7lKHC6P7TCCG25GxuEGhayQswBktywyOhWyZpmPbYayT0XCPbj2nXE/XZLzOBzgIGia70orK7Ccp834bMrzS7rUc+P7aps0ubpkG6VTxeEGctodNxfjNi6OjuPctJnT+XyRJeMYjUxELdmaRRXioY7QyMSSEz65wphyQuBHF0JmsfS8VcyHXG8QmmwLWAWBiGeTrJpR5MQCELz5ues7dZNjVD3iCI2QM3qFbkJ0DrfPv7lU4LQbWRjIz1oNVDL/MlQwu/0fv/a1Aq3R0ykplGfxCD6OHQARyGLmsStYGRpzOV9JC8OR1ckoQ8t10DjulXwgURe+gHjGnDATW5wxff3cN+NwBsrlyHhxMsYOy1n7XtQLe7A4zMKrz4aDfNBfHT1igZjnxh7jg22eAZ5rIwHvxqtF1NgzqaKYxSdJnqo0wbDwU7JdUS/CXkKYVrygQhbAqnQ4X1IwDD1jXwn5cCK2p0PfT2URcRMDUIJzs83Nq/pb+ynDW/X63BT2ie+P7Ac3KgEFmT2A9BaoyWVEAI3jm7jR64Rk8ShaN2M/GLMx6Ft6TntLAKPaPE2fYykXxAUx2tXSuSCuj3vlfCulOdrB0pwgQ+jC2XcO7MtvSP+FbVkFxGBjOCIb76qGuJK+x6X27yeqXUHlR8CozRI4f6Q3uwfGu3b0oP7lmljTkMsqr0b4NCQkwMBsmo5PG9gc/EWzBUp6NYSSjzDoFMWQMLg86EblvYWvIcoVVC/b1bXjuueb5P6IR3As4kJL6vqoj7lNEFf8nMwH4g+b94PzYFirAgsiZMi60D7VHnZ4UYHSKsWgxeSUfm3i5yk30DywmXMFLnT4cRttEs3PQZ50C8yw2wXPut+iTLM3UBR/qw0TypsYI25mWBWpTprMVdy/+F9/bxYqRRy+q4PD/Q2O3Cz0YDrfmarcm5HWWpaq3Gl0Ny7PH276v63C019KU5awaOHf/iMpRDSd/LuEZ3uPHDVIBVx55YlNAgT0HlkIVUnlSOgi5pHfXgKTnu5NHiP4TuHnzmzwXsWG6XwtYcgNcY0ubjIJJO0Ju+1dABAACGQZpgiodyMXniPLD8DlcmqW7Gnhd5q8G+x91gGWXo9Lz3e5sdzoR9je43lwqy2Ri8/rGxdVbeU9rs1oEt6qU2mQmJjgqTM66IXvqTZOGQb6k0hoyV1uDhqsNR6O9cIvebEFmLA+J0p70q8lQFq+vydLXDNVY/r+JWwuVpOPiTd5fW+M1QF8LZsTpexVHv6cBsPGtDP0BWc0TPIy2FryCfzGb3EBIxefVjcWs02Vw6it9yz98vtpt7rtD7ZzRK9iLkCY+2lR8q9cnZLxN3dMYVtLS8LmAojfgr/UrxpFo54oKCt27ulNZ4xZpJWRIClZZGphQaO3kP40liQToScYkqr+QA/G53llgTQJgGQN9Vh9JmXqIcPJ52Uu/yuMLHIcAQQuxFWionme1qIpITnz+1oi4wn5dFgao3B9o1rbHpbrFxKCq9+ZmJ3vnh668nLyHnUwXrcPuHd0oyCB0Ci71FwouyvYTkfbaKzEVdGypWI9bHI9tMSpLOchjMqbLBDYu90K/VQWTgRerml0OPoqfuoRkcXTkUSqBZZDZ2jPvh+XRCqBjusCpZuXr0dMYhWMOtyIE1IypyRlZu0d09bFgquFzStcjaAXORqBByGxfBFrouAWtOzIoSaXF3Xjt3Fw+vMlp+Fg7PcHLIwDUlMHXBJlH4OfFskvu7QEvktchxmT4tOKy9yWja7GsNdSLd15+3geWh5g8v9UNqN7rfS+kdx/c7+o2bnqO5BgfiJ/yaiwk081TMYkDwlU/Cm0FlfGw70hN3lA/eJ5OE6ube6kqDv7XLe+8w/AwZLRjT0fWSwxQuScdnSf8e4untpjl7+dK5IRm9MslkjhG7mr+vZiw7L5o/Q4o0ItXhAefY5EPENNHWJaJvaFVubqt6e5Hdm2dYvn/0e+tXf86bUXTesXyXKNgrdILBLhMuLdDXL88cr7O+of8+reaWumk/Zz7PvVvrp/d3mav4ljuvLzl4TS3gf501COkmWZRRLnjPufV271xkt+l56ly3fXhyvLzubrFe6HRkMSCNEdyQv192/ibPj6tPheBBggjHkDic4giPaIMNLPj5xDrnco1j96Mk54MG/g8X4n5fMej1aW9e5qDJ2wTC0dYeef5Fa9n4xTpqQvgCGa6x36g4bb3fkpvy6TSSM/vSp2+RyvJEgLjYSFHTWO2w+oMOkXlJh6tOLYdlrcxtyKDtOcwoS4HrSVqDhLD2HOlujrlWdsJ9kF7Zf6DkrQZwk/3Xo87AzyF1KXqSLjAMYv14KErxbbDozerAkl24bW7337l10JsT2fiJGF93vq7jW9cRJ+qA0enQbs3ryI1m/ZHzqjKOkibXT+hOZWJ3raa3jaS2iw5+WrIUYOWfazZoehKetGTNjzxB13snqbZLBT9Z95A//j8UMjrm3g9Bu0NDUvaHBV7qHTVwSAynImhqEksa7Pw2bw1eV65S9o7h0Xy1/FsbKeujvkmhK+f6p5FuIau7jkDj2dH1sj1pMOhvwJjcevAJ+b3HU3uzW96OxWwUAGl7ljCNn2FVo2UPvJYjZXJKzasgsRF7Y7EebFZ97ZOKE92r/D3PV5xe2gu4trE8aL4+WyiiLr9Du5F/Vfz3m4dr6mt4OR61qKt8RrEnqeLkmWl9R+bGPhys2gNxfuNZuj2bf/qw/nHUm9/LueyW8VzTu597RrdRBl9YbFXp+JqtIrMoisj/Vfl6rqVua3ruJ2o/+i/beGsgqjcnSWMlWZW1fn6KrOfj1VrXeKi9nnfJSRPvvd8jarW7oU3Yv62jQz+/W8L7xne3qqjx3Jlnsgoj0vvulpvRFlQ++3wlgZQOv5v1kzV92M0yDUxe0doX7r2+hd3zRTX91bbn+Df5y7+lhjX/rrPHcu6A6U64jNB1e0fOZiysQvAtB65+qE64qus82IQ22LawUhM3JrBDX43Vzg+P11WpxPaSbbe2MRUPnfXqzraXFUt3thH0z97lTGONq0xhXvs1rTHNMx1486v6e4xNoEifducQ5d6p8Tj2NSeHaHYA0vAl3+Cs1of55OcQV8OrsCU2j7SPr8fuFc3h+eD5Mif72io57Poygl5yuYp7pu8whSRWprDMSS1ZOeEeqBHn9kWyNMX/p2idBrcWu3YeMvwfHBzzdDDlrOmX32J9yXGQfelxwBOxU+3ii97lyxw5TTiqVcxi/i3m4CJn5RZyJ5kRc9mxpM1kwv9V6mCb0LzfThn/kh0t0Sqj2QeJ0Y6RvuKSPl96d7VpXAZ6VhTprqKWJOmCs9aShYlRSC4wjTy2GmFWishkwiSwYsYVR/tQfSJMCFnYnSJH1+EOA6qeGUEmDBCIgwZHeeeRD6a9iJQIzw6lHhHFP/n7VxgSm+5gEQ677brBZPrWu7oKfryDyfbpR6G+OHX+6IU7NCM47WdRz2LqhEgD2RmD7xzRrMCXOkBPCyVK2EE9k3JGwgc2IpPOJy3ipo4KUzRVDFXEaHaB3uZjaA3nUu6ysA43ZluLi7Md6nsTh56rKAd3ZXTEoqZYuSks9pvGpisSsov2aFL3vxAcagClEI9Mn9xCbhQeZZHKiFhRHVUKB3nTknDT2ORQeoB4i/DTZJVtgGttQy5nhpD1svAz+tKv549aMUknPOcjCmZb1xI1lzSAzpDRH6j13WmNJZraOXZ4UEBm55MaSnzW0sxGLRZNqWHv5HnxdqolT5b0K1vlpwEiY5hyBmsbMZ+Gb1uu2+IgQ8GS2MyXYZVHsoAZkxeEWlxlyRCsuQcpz5phDGHDCq/GGHOPSENqtc8eqBiLCOeIi7jpnSYG+/NJS0CI/X+NquLKtwMGI+sRWzG83ASl+7mY8sqBBXxtuN2/Rkg9zgPFcSfiLnJ5SJvjkZ3xP0ntIVGPfpzuEv73xb1Ng8LGXQjRCQ3CyIImSAXhbh69+lQSuR4WasQw9X/wmgFbmEktIzUFxO4Rb52r7vEKPQlHmmsYEfBsnvzvTxF1Om+NTwJcVex6T/JzgK7TDJIQpY5w5Si4m20hoKbqXq4ITB1nVjyRqQXB+OowerqP8+GY5DVyZQA5RmttcIYnI+xyOYXizcR8GNVayqZWaUEe1FnXQX20cI0bcrrcDImosuitiTBd+L6fJu0EnSCjHeGujDrvusfZkaU80om6/nuoFuf3BNSFM8dSRq7e+YO27w02etXRWQS9s6CRJjS9nIQGetQZOT8zrFr5xYEWbxeAm0wMYp2H7Dbbs7utFQsUGol+PTcJt2InQfns5X9pztPXByo6H86xUE5x2eaB+aeVOxoHfuW+qnrnNx5Pm3D77b6MxZpmuTBZpU3HZo/7dnbLpEihi306Qe7vvzeLeaNTfDkIoOEoSZUT5euWNMtSdzSGo2gup4sH4g+pvgtGWLylUHm+9Npa0z7F6Ox79Gr/EfYTWa4ZULieOOAlQbxOguJd4UaTaSKo2b1k5V0jkrS9sIVWbrn1uEnufwtFa+FhbIk6MFy8aUF95+Hfh7jHKCeuzxcVAnNmAztnXftYOxIytiRqKzdWK+qvVxd2gU3hXrLLrtwBEvw4VhOXxRfj0yYjcOUc+xQwZy0K5a2ULwWNACGSNfc9Luj5wCTYU9XN9wx3btuIEQg8yUgPkaiNhW7FiQ3y5jC+LKLW+DlrVxGLFhoT1SmFdRMz3uYYhTiwIawNIKKLme3H5ZME43Ub4UnZFpPw5t+jiw4ZItZJURbz8OXcwxIkFUhlAQpHRPs9BADYVqo3wpYwPOt5XXAavdz8QzpBWyD+b5Nx1UWyhDO6BWZq+kwwPUKrPxkBEoKuqUkR77uwPqqafvRqLjWbqJtDSG6ywGm/ai7loggKqn6rDcXpVvDre1aoMZaRGL0frjpvVrNFGhB/BQunQUoNZTAdEe0ORGnM144JY5WElh+EZLkpUp6p8KSRiyFT9fORkUeKEYBnSDz7BbnHguuu1lU7GINwmJT0ara5c8PbGJku8PGZZa/0HLKjBqavQ9e2+Z+6zlfi4W5WWwrUeMXP+R33q7SNV1sYSu7YxaAIjuiMVc6CBD4e/Gh52fDOwLimfgDm+qlhoXYF+xpKNSyhNSivTVbbSXuTf4bxL31UagG2BzDm6HDm2Ivo5nDLo+fQJYRwpAnA9y2dSFctis/QrkVbe/X1Gkialiad3cTbQ7HSEFPzIRSYcQ0ZLJGDiwR/5q/K4NBW2a9J2UnqEt+EhJpFsNd582sKrUTULohdWIFlZV1+wGRZ8gsSlL/FN+K45n9APRUtZYd8rwT+TR8iYM49wCIKxG1ZqYBFgHnniEe0qkfHO8YMqmvVdVUu9BusbdMP/pIMRGnPQ2C2c5gOcA9956wtyplEdyDCO9r6In35pW8bKS6Aj+GpcVJKHyAQ9LW864vDZZhofjRy+fKBRZTfVqurRTK8NgQ+66NJLSjCYRwSjRyhIiT+PnOeW+muRIRCfVlsjFr61sLWrro3QLMs4iroJfvrBOiO+1k8QBbXkI2GStCdhuj/cSLLo6SWDLXKsO/m8p4p2hTA0roGE8+4UxlOzKnMhE9FLPKtOCY4EXIcECJcMle4MdVjcUFf9isdAeqYvPBFzLgzVZVWkIU5XMcKCH6Z4ROwDN7qfBNMDGiXJvT8ltbbZ9gUpZoYTV/AOl4LXbKqLdFquLpAdlPFMV4c+HsVOAsMRQroRF6WUVXUbteH6w5jWJ//JgmTERqcY0sfRwAV7HJGfwdM37RmO5CiId/X2A/xnELPNMvrYUjwrNCo6rfTs+1z0o/9EyPm8NsEpHzm1z85LpRiJbT1JGHa+fnvGifJ7MUUYVdbwRI+U2eYZnJMI9s1OjVFe42fABJW25LygTqic8OWSQ5a+7Kk9HU1eaUx0c5AhqG5eM0zNNWEoV9u3gDFGfmUlC3Q7BRIFbbdnaAbp5ryTTn7MyklezJSN0vyLv1LJRqKvlDKGDXs+n7nsX38uNC1Y4Q9dhPm1ZLUqmEqsWYQ+WB9bx+uRm0oYKpNUJskksJDFNXGiG5SikR2DsYWXBUMSMVcxOwZjrmNJlmIf7JN93Rsg8OTFm09Yt6mudO9KybGAhSzOEizJUuyDferXhXBIw0ETmobBAhayeGrwyBnZyU29yGhEHOlO3QDtwZ6tiN2DPZegYRf1aXSwR3DkgoEe3cp2BFjAAhY40LNKDZmVpgJn9t7JkDWw8nsirBim7OTOziCwgIUszhIsyVLsg32yr3sDBJ68eOvs2o0KOSVO3fhBw5dlnRIxd/EMHa+50qkj5AyL0KArm4jcSrfNs+6aa3d6yLUZuR65SwfnnpCDecgbeKV3QrQMyC/xbfcEFjAwF6zv/JNL141K0lsNPmRSeMBDHucJnuSp6Uept+CnLGjQ63KKMY95zGMe85jHIc6uogmMEy0CJ3wCkhPNPeGU5AdS28sgsICFLM4Qud3CSQ+s9+k8TypfOT5gN1Maua5ufNMNuY6uPquZji6bFTPqChxlc2K5WXyTqdPI79T72lJh1x0zY2ORmk+8tf+4NjN+3MUiegp/N1JSnuY10hO/b7Gl9p2WMxDYn8Q3r386ezqKkiNRvsMsH/8n/BWvd+WNQQze6Rb1Z3tVAIEBGg71EIaOxFTbzr+xAutHeBWTUvYdlD259+1zB2BIv2HwZCC41Fm+8E/PnyqOMj3hgCJaTlWy31xvmMeyxDFrACkLXldCDEOB6NoTT9sveuThdoqn/U3XrFuaeEX6VZH32LwSsahPgl7rUt4ZdT0iPMenk0J8++Nyf9lS12a5b2MpshpGeeXhKX5nse49tiQ1GnFSn8JDYCf+6vHT2zwihScXf5omSLXu1m3kM9mtkZbtpy9Pp+OJzOgsQer5akBmFEK8ldsIoY+jqFgnoQAmKn5nRuZp+tu7ItXNSUYYq99GDcolrep5TI4WPUB/Wu5vLAgPvJT/SsVPlYRtx0L42KvJSCXcesKGxfGxPKXt47HtdpR8biCVp/IKT6iHZ0cS18KrqCBvf/1EZMgwfo5If6m2SH5sIWDGduDedMnbafkMcacVBCvKqfikx75oI2qAWlkFkfnrd1ILN1uzx7Hp6VPPiIAE/iikPi9lHJrm2NPfVY9DgZNxkisIAeLkmX55CUXddes0+ow0XfP4GshxRCfL6Qrw3fnxrEKiPl3qHWJXI60df4wHWmJXJYuXczvdrGHACz/1/lMmSe8e6vOeRfyHhJvYrD3uyIAXOJuaPo4MXCalug/NYDbwPJWa0BAGrtByLiCzouU8JV/SeY5Cs46I/WsSKaO7uM08RbS9MDlpqPcbfXxv3SSKFUkbBUMkW0khcpKPMkVVnqNdyFOLgeV1gpBTA595ZMQdSK4+RA4XVSa4ooG4ljmNH9iLqDE3XvbVHbgiobWWscLDzYXX1fK7Oke4PN0X8IhkBsTTz2kpo264cAW8C1V7WoJO9/HqCbpUYpuyeabehD3pc5e2XbJzOQF+E/9iOt73PRagD3Y+/rRaFsGZ1YU1r6zywWQS0N+F18PYjyklQ+PMJkrCLbkTn+vsFHcBpT9xEjInm3RygqjZx0uOf9yl2f8LZhl0HSjbsM7o2q62EgTJL1wUm9SH+sK7ZowyCdjUnrcFQYt4u3RtTDqwzebvK3PXuImsbKuUZjafwq1WZ2QMut7d93a56K1DOYTyBc6cbk5HiJJOgQxi3mpjy2KiVNj4YZ3MI7+zGITMCf/5UTUeYf3QikXtYP+VeCwW4aq9KQStxuukx+LceywE4O1tijM5a7Mjn2qMvhyr3pGi2Qldd97/1bKqGS6KenXbfiEBqhfT814xm05LzZ1UlEfTojSbRBLJoHH1rxBqXdl2rY4U45EUvZ0U4FqQHRzhKzGqgnk1fA9QXOo3Q9M6tXloVHS+a0lSGi+2erzTo6myO7IgCjuD5w7uivZlGwwk80uaINxNHdqPwWoF+e7MIsrp20W+83W/Km0DzKF6+nzS4X17dlPRPdb5o0NMyt0Pc3Tlq6XSm/04Ma+2nEtoAiWezBZGyyAjRnIiK69B6i2lOjsTmKboIIyD7JRum7TFm5Z7ZPje5twVTF7oT0xeUzR4+c+iNNZm2fxBzRTJg5EGGebF/X56fnDzBU3WH4uqA9y1hgkGqIysPlTs9IazjHkpHx0mQ//7LP93obnZRknDCVnK5ws+1hCJAM+KICsg5jvIw+uX5d7DtEy4/nzzj+bDI+UOPqx5+XcNU/h/9S9MxwAhMOl8rVFVIvRyeCmgJ7RrQLATXRv8SvXB+WPONWI8gFEhsJPMoPi4ZBJ8cWtd1LwcLuRSlhGvcrgPYsFf+Pxcr1i2imy7Tfk/NgrHlArRwI12eIhuGsUGA8Eg7Cqg4mCdIIPm6Q6ibO5WhOg+RarnycbNo7vLNJB1d8zjFUFYyxws2C6XjAe67dRR3fQ4Nr/dUjgiYq5/Wo82v6zH3+tq8eX++gdtb5i/ptdwfd/P5bMcc3jbw7BTAY2o4XCXo6AczcaoMuC/YZ19kKhgAN/o7f6t//944ST4vRDBtidEysI4/KxG5wOVNH8uXPi/FzbtSgXZOPYIZwlqL+XQ4AMvC++WFgZIDII/saotQvVU255xImuq1p3MB/bDH/FhNzK/xExoDcxx9Y706kKux5fEF+eAQ0ombucTLfNk+3kLvSGOX/CGR+pD+GcpzsEir/+8T0f2Tu68aZkCRl0Kpv1MK+2B5fi/9geoKWVIoZiwCaJThtyrmMkIh01Io4oCED4ICbZZgOwRZAz1ySdzDFnRdPvck0nb7LL1d2cJS5cPqRJNZe6MnHgymTa6WBXtrakaR9qsjBFGSUEDyKhspCQ3nHzNrWuW6oJtdHwQgQ+iTfOfR17z8LI/dV5z0VNzkomI+xzTR7ys875NaucWFFgl8lh6vC6/bzWIY2qge4Py4dX7fGsJBAMt5CoPWrdbpoHQlfZzP+6JtbvqCN9w6/CLpsHHTKx9qxpGPdhqNBCrsUOA+ccdwnwbJ6nRmvjQun1SIwGYj+V9o5O95hH8qXg/lwEj+C3GPe2iP4IrVhHZ1wb+Dtgu/ljzVhmu0yFHfLu7Zj4csGZCWoxjfvD6Aw8sOdk2V7cyJEPbXaWvRlG9QLxmHYXif8uh0yn91w8cmSdfW/VZ2EqTI078TtnzJxDpKk2Pft1lSbcSlJ5d/oCMxtg8FlwBc06/FpEYPisZbGG5s8lLTY7P3wNdWJgi7y3G739AAulKXw5yUrXq1KEpLWpJHwZYxqoW2872dnGeh+ER1khFGI0EMpdRzgtfpKL8nNNK/P61ahVWt4YQS6HL1v/LpbaNakrTut6NHvd0UIMZ/IDAggAiyKAAvnrDD3qYYMaaXArwLGeeDV69vPLMK+9MsEVmpKiii/0FWK/C1Tz5szRos1E/G5/xLOcQkCYoS44eeukrrJkbpRjcJL7duKtgsPmuiqooKAyOQgdZHl5wGoM5Wx2ULIFIpsYTS2SuipWaB40j0UGWhxes0eoNJnO2OnjSBCKZKhAnVVTHi8LgyFHpDJaHF6zR6s218eYIzmRqkKIqPhQGR6GDLA8vWKM1mGvjyxCIZCqXJ5bI5Iqq+NEYHIkGMjkCYWKpzNXNw8tPbzTXQUXjiSRqPGVVYAqDo9BApoeXVm+ug5rFE0lUDheSK6qioTE4Cg1kenhp9eY6aFk8kUTlcJNCckVVdDQGR6GBTA8vcx30DJ5IosaD5IqqmCg/uBZmQAMrYKHQYQnESFHZvEmpTO66f0dKL29fP9hsrZ0VYMMTqWAFbP7kA3nu98iYuQ52wdmzag4WTwY58QS+kwrj7oyBaWSGA1cGswCNwRFyJlNozGztWORAlGiBbE4CmTzX3FPm6eun0bZ+kU/zyNtPZTRlqc0CnXdwmzcn4CW6QV7jkw2Aw5eM2ZOdA5EK8hIkSiKr3QfQGWztmCM0Fk8BWVwR5KPRGWobBopbvsgWXt7tN8eDFTqAiyBXqYd9KCq0LRBKpGPFCbPAVkdY7h+fdwLf434x+KVXR+2KZlsozIrBddacLfGpjcKJf28M2boiegXmjHkjhi2m/EtOdguEb9gsFgvBNMBc8iZ5Sxdn8QjcyxKY1d/zmYxENfcmiN7mHSLLisCx8Nz2/DbAFZ5CE8NR3Y2ALfJN6GsPm+5Tofe8hgDsfq0ufUsm8pgt1MtdPjBKksIOGlbgSSxhL2x2iGryAAE5v7tNgfT8FI9HtbWi9FjHxAnKJaoMwJe/9JVos0FA8BQt0JtoBXP02O1idMwTYI/3PM+UzcjzYHQpUoT+iWR+ixfesoJwPdcHXgwEgFpxitPcSe/K3D+z65yX9ConaNBd/OnJ8MSNIP4xiAwibtZV+q0i/r3eJKPKHram8h76ETZ8Eewq9J2d29jy1vJV+uJYt+Zx2jkfeApmcyssBt4Y9SyflUjmtDNHA95oJj6zY/T2GR5GbDOPIk6DmSwWgQfp0T6PUNvBVj5FDPGqlb/NbNOn18brzfvUS6AwPgXIZWSKEIOtJ1WZQyOg0X2pGpTXVbSaQrs5KRh7BKRD14NCWBNeBlnC23Ark0IdlExhD0N9b2Cp4ivrop16j12OL7pdVvMvk0bJQDHRKCWA7nw//u9/Le4+Lwr6PjFH/w4bxIdvL1B6O9eXk7rVZwrbsvM3o+vYU36sT8Us535tc1i8nK3zOkrn1q9ZdTsa5C0Y93ZuZF2pSlJF93UclHPR7/koY9v/nxNLmdVtF2fVBFwNJJ7rKJVxZihdBEYrahffgQ1pFIfAqVxyu1UdzEXDJIROk3/4SO7rVrXKTaQVPPBsSpG0jT6EeObV7OZ+SnNjuM9CSs2HCM/pUDY3lyvF55i9T7hltivgDWvSU+oDmJk1obtO0zFvVuTCsVZFTaYXLjrv0I6AW5MpfEIh4DyM1boe4xSL/IO6VawsjWUYTAp3nHDMXck55tGMWhAMQVVXUZTs1fiMhEa29CHGM1+bPCRrd2XQVrODH07n8YFytTatw4vnKrOA77P5xXJPTh1FHjouQlTQfohywqPPNajlYipFatWqTbjbCIJlAuItBOK90wmdFC7vmZthYNi19j4qQx0qAVlnHGZOIkULHROVhd1omYxa1GW51mWuHFkKZRS6OAL3orfX3rtQcOh0Jadz4AqIM8mFTs9uOCnt8SSomj4ENyShKGp9rQS467QpiQfb7dsptUJSRI5i3YUkdYxodq4JirkdRLl6dYO4vW6Il1X2jjdAMnu6roj3VWxQR32sEP5FsAMJ84lm5qepbBV+LQECWP3X4Egc+VYm+FbeCpnaN4EPtHpeJ+j9QrMM+HFapUII5hI0Ax7hbxMqlBIpYC71Qq2UqMHwMCUGz1rMRbEDwF9F9WsmDlbuAwOYtZ7D7UH8ImEGbGYTqdRx1hYFuZgVaEEHYG9WfQs2DhMMeLCpTu3ur6R1nxCUIJ+0YnbBFvwezumvw1GBbQWFFjLQHGLMivCh+KQDrYwlE2ZfH+GDbam3eQXcw90Rlr757oDH3dPT6iayAhRgx1b8LIuhZhSUfdXv1uOpHw6HVlxAAfeIWTkFEjlbuWL5BZKQ4VyBU45c2869GjsYDLoNzBWxgikJ13oE05KMlQ6m3knx3ub53IBGI2d/5z7lXwAIDwikgh/MTEgzCWpZKCnNJwWygZleUlbSMYdgzrY+8uMUwt9JVjfB3GFUwSrPIP3BNRUMDLfe4g/onbBUMn+uDMXfwQLk4ud2lLJywXxXTzbmEyysI1XOMva3zUwS8CVQFJoD4BUZgtGONXv0x4Sqs0uA2MFiLE2g9AzGTIoz63+AcvE1kD59mDklg038Lwrd/p7/PQmb8B50+gmoIJZhqO+wGbFOz1DTKBsku6WcLdMNlqlQmGDAPEEcZFZMOtyda8kh+0jmAjcMYidnIecSZj/FOQyZZsYplAUCEVjkUntySdR2sBJtPjS8nfh9zKo492pCexlrnB0FXDNzbAq8gE0D+mivSqo+/ICsrfKS74VfRFvAYOL3gF2DmzW+4CMSKii3T1mt3pLctz4GEliqBj0Ha7irpqKSgGPD0Af7gSIgtFDulFq5oaTxMyg5EUOxzRNMzlZ+l/F/VCaxI9JJR0zrcYCf4NuLpQwvpjgHrrktNOXyu5+BHYnMaF6ClH0K/bRiutS0LB1PZOam1GPutzXgZDn0pNuY1QTf/DNaAhUuGfNlHL6pD/0pq90drMU9m63eYpZx1szVz2gxqVlbWJQo7b3fr2iQZoH+AKVd9Bo3f2Bc+tEjNwpBkPjgQulF1AtQsJxPVHDmnGD17ac5bhs5scr2PpquKGgMoI+K/7N20PKGGgb7a4iuJxOF2sDllYH1P6utq7nmTzfMp/P2fDLvDLJDUo6XzFoKW4ltipiAir0JM8yhhhkxDZU6Udy2e6LDKKEf3zyge+PlFPbQx/D8YgzF2rzpE1IhEglleFhM/58uzz+zYPKl+vXMKPrQEwIh/kaLTM3HWP84Ag+ajRHk5ZNz1CAhq8KE20Rmhc5zD1Kh0wq+UnjJNRHwm2NuzheUAAqEN6/zo3qus7a9/Zw4qpwXJDbecK57AR//u/NCH/+CXhHImqq6jbQvjKVCIGbEnFl19hxveP2ha4jw/odKsp14fjyuAq9tjRhBKjbrBxgNb4Rd+ptFGPo+SQNWzUMnnoqvhHsRRJyU6WM2FeYQjUYcBvyIzgR6GtD2Nq2cwu8sN3shLCQ/KU/uA/i59IZ8gIKyopDNcshA8cFLHqKyfzIn8fHTZ/SPXVazvAf6Kh+cdsTq7QxPiNXOpZIbBRGNf9pc/f1MMHSosYAmHTK56zy7rCedASH1SUd79AmXi0er4kBRqqNpRpT+QrEtQehnoEhxrBpqEJNAcrsMtWcMf/U+/tdYCfKgvRPEuXQ5ma+z2QOTGmIg0QAGcMLP9lG5SsGQCUA9By6XsTNOmX8SKV2Yc/Zvjb0b7znUg817CX7/dpDHWya9NSrjB1xjTRMdBhVDy5B2mNI13oaMcT/D5JL+m1LgAX6z+cddq2aIVZY+7jO1pAb1aZN9goNFId3e4K6ad8YwDPfXHzALJuu39LjJq0Ysq+45YaMUoOp+rKRg5PmwH2mUpjAl3wcfBhzFEmfVtrxYP3EyMcUh+FqU33lLI3sZE4bTbpW4c6uicwDltCeLL4+3VEv4Gx8qUufxxjoC3/jFLhB9zHtKj9UHsMiQlWEsc5RLu7cVukAyLIyWH//QZ27hSdHtGIIeV3XU+ajhvDtaehA+zjthPBVPlQGdQNYH0gi5HiP+ObL7qzLxDQznz9EcbVRmrCQokur5xhcO4fuSJPsNOr3IV7ypXorGbkHykuC9TEY1ypuIz2EnB89bbNsrI5CD+LpHNWFMJAj0mS/8RRvqLcJygOUVzbfkgAl00ZW2zAqdbafRReIkSTfB/vN5nrxpUydL6bm039gotsyi3eqUpjzzzpf90s2PsU9eZZ1NgSYI8q1EjJOu5X6d4AEO/iRmmhjKkckCHFw3v+wpFMGLk77BDnYFCD64zVnhNRZpUO2aj/FxblCAGvQCJoIpV76NGYa7dgB7a+ePy30bRodI3ulPX5rH89NPdehn+I1fnZcVLa2hfUFW0vuyVlChtqceJ8kqWvTHwk2BFrWq1EJK8YYtkwt6ctQmPpnDRNuBehswaar/u93G+VxZLHuJMuQB2QU9ZIzjphZ5NOzA5Od1ycEXnuaDzYBrhZ7OZqBVOmcSNs2vy04S6xO3MSROtc/v2HAy8oEUaF8Y5boi6Z4hykVNYz8l7GcFFg4zleNQWFV3xngr3qPeB84gp+iQttBNBjWTi1W7B7BEqVD9ao+8ol4N6SmGIfe4RdlSuQat9IsQ5quRSmaiC0SDnMQmtfXsbSTBdZzxsuQ9YI/eL7z4bwnTZJ4+YdmJ5oR+OYQdgLnia2x4ix787lbrS+oLB+ICzkyfHEm7mKtfnMFvfDmj792Lt9JpYpkgUwNtzfCfY8cCIwElXB+T55EjJ7fwU2H9XTjdoa39FZ30HWNyK/bwzSFvtKr49jbK+d0911ZVJpZx9sGn9uw72KNvLra3zbcvdpE20LTZ0Lsv/YMvxPw1kgD3U8LnspoBz+7S7N/kxkEW9l/8Sow++SQGQji26VpBGiqDk28jcxtaXzd8I2J1Rznpmg87/uoTVH9exwheZpKs4GwfAwTlziAU4PhjPzz24H5K+9u/AxlzljQ4qLaPe+oPDBBWsxeyU33N02AX10dn/aPsSBZ5aumgiSul3zy/Xhy+CL6kj8/dhgzS91wIXeu23zw/60EmGf/VT1fgOCbf+1ZgA1jMApfzY2Hm006rttL0wfisNDNTWK+wWNuEoPzihNChHPqBugPYF5KV+1Bvh4UMq+gb736XuKflt7Ag2YmIur84VhI5r8QGrCU3ce3vSXnfxoo7mv5esfxBfVpfrTtffm4gyWmv4gjRBFBUpTLDGvz3320lDRAsv7/jnp8PNYlCUFFUCD+N1MfviuDBW5wg3MGqBeAFNJp60DaKkVZDEsF/WYUPtI1ypNVy7/mjVJI4JtHinRQny9DkL2aK6ywwDKyIY61wVKzcWi8nKJEKHYrewoxYPWag92f+3MpdEJVCDNWlhLD/HruXuCcMCAJcCEU7g+EJbfXW1WR2wNbx/bW/mWnCJUeNDBw9uamYIOwBf23VDjxPBCQaBDogz6qGoJgFd273jjj3HwgDjovpSSIA3oFJF4ntT45CdMpD6AlnnLF6WL6hnaLIfe3vDGb91suJBzCXgHkK7kRwsB/JRBUgNnV/K/eAP5vJdicbQNREA0FpiKUcsew4CV792MIOmZCJMVAUzVvUy/EDk3Pn9KmBQ31PJaErVkoKqRDl1FwXL2cKHy2qTomNKINMHN4yQmb4vsOOsio3Ns5WWhJoUgHEl8Zkw30YkxE0BVQc8x3stihdud5EXDlM0VTZH4vAc2Z9w5t0/GZ4K+wwRxaU+N101FilepqSLKQ5noIbiDKdQdGj6hmnxqgtJYGg2KOiS5an2eO8FnsbE6VBXs4z+JcGw4xwn4/bg+7y4Tetyjo6JEl6znnZn5yiz7Uk63wJkX91ZzszX4mCVpIGILI/1iq91VorU9ye/VAOrRa6+v5Z9zaTEzBL6TWr9UDXksmLPCtSACm5f5ikkk1LmHLGEbOjlw9P96Xk20+GfFWItqZnpV7V0cbJWa8cS+0Cc1SeZ+U5k7YvN/NCpeMsoBp7zFnSQeHaK+JvkNs3+n3DVWka8975itnAcO2a89mV4uT8vW1aUV7diJ9xOar3rbyIU+5VtBd0zrVHX3T3JyX/MV5GuLKbfmicu/6OJyz0AzC8fwsjrpWKS8+s08d51AcvwbxC5uPnuPflLYUL/Y1iBfMvtt6rzKTjux3F/037kUvBuL9jnso6C+qEKpCmeR+h64umE7yai+so5i4BNQkoWLD/q8W/P5HsUTMbZDrwLaHok1EFop9HcTM0zNB6ZQ47OM9Z0EGmQVAn8w5kGqkshD1SUwL/sJu5eOtmYkfgoBEQc7JNuBST2QIfp6bAXL6a57xrXnjc1WSqMGyukrOfkJns3PXNQR3HGYVDRyu2cusyUDQFj5ziKO4lSdspIq+TK6/oenuyouXuDlA9JtwZ1GhO0wkU8kcuYozIITe7KCqDy12Ke3kvdWKRi156eAJWD7issCTUIWZKpxixpIrD8IhfhE3El2KvrXucmIN54jqu8OXaa2N/tkjKr7iDOUGdBbywN2J5eGVK3Mk0RBLtDnYFdRZsQTILYMlAXiKnvL1CjhEREdvcJm+85bfUfb/X0WQ62OPOVqG3VdhCwA5TVIgZ06KirmjK8H5qBMRusCsf+WpO7vTRVWIQd56+S65+7i6y5rFuLfAGcB2lDn2KOcT3qHqJt4ZxvJ2dEpyoFIVNOO1Vt9wxIkhMcMKTlWDU3VEmafV8LVrzIKureOOu1gqBIPLIaev5ksg8kKmStQm8Sk789/EjSoIS9SjRCkJBieCGrlMFJ5aHFIi4EyTzUJmgIcCzDAhOLB0JwizliOH4jbsZstkX3N5DM8gAaZAm8KpzYmpzgACAKkEoKBHsApUWop5xleFxx44YjqtJ7RcaLV/Qcpom8ml1p7bRQvigIwswC1fpoatXN1K9yhtFdKQDjlSWiXucWJIyPGJMxKjAwtZ0UdervnRdVZ8R4WyGppE959FVjU3BlqjGw6O0mBrgdESBWCCJ71FpvAbgiWcJajxkcIuscrsBv91BvN7Q4gZudVNXmSldSnTFNZWrHnXFPTU9iIoCQhcxDXk0DYm4EyTTkVCc57NZbx6wD7AO6eTRIyD2QECoUCCcR7y+1srSSu4+VzrRwnru4UKevOZOuCVaiGjueOf+Fc8E/MYdbm6VICyRV7daIQ+92ap4xESw8RyfI1SMrcFCYhZneXZh80Bbg39+VhF5IwsjlnY7Vq6MCC72cI83CpsHeBImZCTyps3OXgnqLFMFyRwyXetR2mUsXVcyZUR+uqPZoAwPKDgfmAdiRMSgvgTGI4pOxiLilreLmIYMNyt8tunmm0La1qC4W5K9ll0LAVkIc5PCQDBLOWI4fk3XNUd3PHo1ghJLh9pcBQLpdwkvrxsi313QPJAd3LAXJtHShNNE91ng+ZGOp5wEJAWEmroXgLvJU2OTzX3kGyy3YpNb+yXJDBENLUOLG1jcIubh00MS+zC0sPyKrqaXhI9cZq7uz6qahJup+pQ6HVQ3iBbLkMS++Wi1IBSUCLIww41mXqJXHXEnaIgQWadTUaeUzI3k+YKYFriart1a024vFYMgciIfV656kvmfugGiM7jczXjIhzQqUY2HR7VzWVGfmg1yybkRZ0YRBQQuVY2HV7VzWVFd+28QVSks9S4AbmBx81ov4WaaOkqn+wNpQa5O0YhAWa4HZjUClQ0sJGZzNnFiDdd4oYh5QEa8ROjYx320BWuqZoEsYgoyj6KjqMwawD66tl7cCZIZKjo6j92SwTGUoqY9KpkDAXWR6h46KHJRUCJAJo4AVhCoKCBw7OM+2irjxoPivOJU1IOrMUyj2wVf9ZS1MnIWsa6xbBr8siUOcWt1p0TY2Vafoh4SzAOc5bbqGbl6JzOTiorqqZHrpZGuqU1TM0Qi3xq0WILUA3yfhdjAE+2cU9QpFjmQ2PcqwG2yu7YxEGe0DVBUfzfWSqxedee8hcAdOS5w8XQ0XTNDAz/SaUxE4DkmGsLE8AY2gI1JTnqqEttF9xsSYqLyXFAnkDRcJLGigFCxbqKLpnQl3dGU0/rFetnMA9jeoyyIPFLazipI2HxZaMnXtI7T/cgScsxp4AGF5VWj6CpwcLNUJZhwQ93GpVPHnPRKOVefDQXTuh1W3K0FuJKjwkCe216vsXWXjs0CREiIk7puB/k1Xe8eLbgzOgF0Gpwk4TJutBxJ1tOlow8MOKb4yl81Ed0sdzAdCd65C65eTOAmrs1X4a/sbAiGMOCUV9sfZc3P8Mh4fdJzBJiBxSUC6kmDIIa5aWjvmrlR6mGyzBsM4xLXWkN0EDE3bOzyLp36zZ57yIgtbpG9sL0Ebjtix+ySndSAntsqrGwvszeaxJNoLkZF6BoMARvY8GitW81AJuz4F9jciMO5xO0r3yMqphxlnkzYZkXbHtkEkcLd5C4N80B05AEarSk/Qqfjpkgif1ldmbOrrkvqnmqIQrOebYSAXNvwaE2oGUi+R0hQYmmpqxTU3S5FpdCEJtY5mgfsKpbgmiwlkxuimht3uOnqXVc/c92JYqTG/9ar9LkS7rBCYgp3DyXwoq6kGx68oGhSuItcNba3A/lrXleJFktShocsNIGavE3t9kZzmVK3rhHJ9O1Z2e1sn0dZfIRe8CSMPNx0ZnaXiEAwt7pHgrB0XO2xhaDZvBcvKLH0wWUDGBGwZDcenm0JThNyLMQQriJVjUxywOiaBS34hjbT9ILwNGVqci63wypBHTZ720KMWGxlFHdqlI0IEsUjyX1iOI9413hjHjg9cqs5utNRraEayizZEgK3hZmunF1haGio800JQ/4Sfpj7p/lktny9J9JU2O1lGBnSwcctOeblOQtCXCT8AbH3yKdpHs1nw24EZ2aNMQVYK7jrDR3cRNj+2GPyZbss1qhSsNaYmBY6F/OCDK+ey7wF3J2u7OoCc4dZm3mgXxGaqu1AH/+sTL+HFuRL3RAr/1dlgM7vtemBn238VH0W53YFD0n+JUydRnIMwCVQfbeiAEV/N31WFS+wDP/cW9WzQPggYjsdlhaPavaZ9uib7MlnpREae/eRtCNMGogjzcLZThInKs1lkuoRpfiLwd0SGQeZUTNHQp9UBo7fci0Q4ffGhOIn9oD16wE76ByyTzFJG3DnlACcisUkge8fTkjpgqE/qcbLDgv63FjhfAnedSTcSxcDd2HKnL3Nn/hNy3TuOzf2PAQBUktapksfaML38IZ9hk1Y6HjHVAIYihohziQz4otGIldQYo0ymb2kjMSDQpcE61lDqQhAfoACnczGYh3aTXMkRJTxBOYmgGm9e3jSsWe/g9KuJPCGtuMfW6l72e/O3yWQ1AfReaTfRyE08XbFqQ69pT9M26G3kk9RRlK8Z++VdICizcb7sQ8wSoOwZ0UbpFrFDNxjcuyRumOG6clL99ml3bCR6APhcWCTKxZh0Hy4Fn00mLuaFhg8CaSx6DtyfKfh+gtRK13MMfz59F8LfN1Xnad4idI+99B2N3tOp1z+4pFQNR7pvw4NKB6w4GGqhTloeyZQc7Uh2MPNQmlWFqwfph+9unxL4DNrpicOaqRoDkGImZg1bkeZqgiJLk3z7FE1Z6rWcugyIzbLW3TOvoe//E065LBMec45EuTZp03tvZKSvfH4jxK3IM/magSPpST4wps4ipUtsEEpgFx4l3nwoL6wxFnqN3f/mm/eVYqy2fOGdGrHBWdNDkhbdFKzmWcFQ3jw+9FIoaRp2UHREHrhKGB6an5K6wCiJ3LMJbdZroO3b+xPsMmSJv3YG0F7ZDNni91VGla8S3xXk0/35GkkJ0J9pUbO3DWBhcidIIeLuQK4l3dfSBRJUFTAnV4MrgiJdqL58e3e1R2Vo4OB05LA8eKdhCludP+Dt044Ye3Ne588+uSBf/xR0nH0rRKlQdC/33mQ3k8aebhJAoBfJSSm8UGm36FhQb/t+e9fdJlH2MivBxy9hQdBm1jubF/y6Lshy+gaxoYA4IEE40pSDFB54EDZDEaaKdZhRGDYTmwfPjiZKDTWC4VdfHdA5iM3KitWj7AcQDrq4jAH5ucjfAREPziwye1fEr4cdsMbOTWeG1on7nynEuDkCLpOioA4py85Dw/mYi7T+BS285TQiAReOM7fOpM0JzKUoeM3/UkyQba4h3sCHPEmNCe/WU+cmQAQDcAT/KDpH9silyTWoUDH++gKXoFAzlkv3+wjNlkGvIdseJb17LNlcpCPftvC1xnLa1dpSqkHc0H0Bw5JYvDwnI0/5z1ilKNoOB60/SFCQoL3SNeHBJUw1dD0X68OxfQWxjAFhrGO7aKYwi8HYZ+hhbRUIqf04D4w3k5cKp4V6a0+UFn4DJ9c7TGh3FFsFGmsJlCefHk6r8bOKrZJTjYRwADX7GHyd8VAmhBOAg4ZOTBLg93MjzpjilzMAJ6Zpdt6OIdb/2nSrkQBa6a8x4cIPtpgvNHnHelme0lq71H+c+jMM2go3s0fJYeoFbNS+OZ3ciORL3WwK0XPelfBKQEzG4iprq1WBBgXivc4N4n7Yzf25wZVDfCB0MObk43i6heWhgdQ6U4vr4AGS3cS2YCFSMlIJWHlHDnRD+lG+eQ4QjoW6OHFLrFKKBpd0Yyr+10rrhbfYkQxnraGVRJQCgG/F6Zml2IdkoIf+AHE3kDgPcTA1rBKahYyOahScHDAJA+SmqR3vFAXvVSgS4o/5cV44QchHQLyouVkZgBLTWOW693rUzxJQITUtQ/Xv4Ue+dxRezKOR2ZwF4dcw2N/7hH3t9AnKLAkdVwfnIkoOV6kwTVQIGCVACc5HvVzF6DzQwjoWDztoGVO+uppqViXiudLowD/bAaJfveI1DHjXSxCC4AIiB7ppQcfPRO2pr7wvvr+vL6FiWVCE+89xZazDXba9mD+DpCi1RUSWGdcBz/EZS7EO8oZTtTKDilmoFmI/K91ty2CSJJGE9apSDGPSQoWrHKRzD6LdlkecZI0MKzZtnK4ClDF0UnVyuRIprT3wh9SXh3K5EyZYtnWZFfgCiz8q8kGwmIYWqgB+LkxNhTDfOkYsULxoAWxZRsAVhwbLD/+ofdhOLcbfvQeYWHWESdZM2aEXwxHS100g1S0S6XilOCNonHwBb+gukyP2CQNkMpW2E0K+XU8kybKrCGE1ylrOnQVAwie0xUlRwPxASNBdKDjt1AiOmKIOPglxErrRjD8NL6O0X4EtzogLUoDQquYQKZDW789X5+rnuTRj7QpV4d/Bj7NZ484kRcDppQokEExlXzB2DAFTj9OmV0qcwCKYBI/Y4txHJkXLs0idKzIB9fu2mhJf/mCN78GffvmsPDNSsi9nPRWnmff716K6JGoGImK2bqKiqRcUGWWfmA27vX7pYaM9OSmeqUldpWU7nLaG4hnZGgWoG6tPzUTY3QtofTOQoTXOFHzb6Y0KVCuFq5LJF1Nxew2ChW7RYGV+KPx9E0WyQ2GVHKyQU+1gh9nicvfCpxer8PpNEesdJBITRSFwmJKV1IxK45AxWVIoj712+XUl8kSbA4Ibn07KkGW093006d6ktDylzTS+8Gt9woi6T2V20Xmr9eJ/8haHujQNs3hGIOA8C4l375VH8dDckmPVbp/PyJhHncus/EFOnXmIY5kL1SzXKPot0aGxr3n669yJe/8cYV4apZ8lCII8k0RUr8RFP7oJfec9BZsrFGspsZH16ynRHf7O1Lqe99blRdsFubPKcO7qh35lgldHahAZ0vX5Af4fvgjB6X160m0f2Q75fYvccFs1ZSuwP6S2MzxkMZ56SKfrVVz7SfAn1FjWnedLd8t0FoX6PwkNXGZBO5k3P35kJISkKYHO6G/oA6ldJ7bvzhchdLup27XpVsx66E4GDSMD6AOfRB7JZwwD+WHlp2gtB7X7TFzVodus+fO405x0YQyQ7/VX1g83Zp3OTZlGpcvTzDE4Tfw6yYCVXi9fCtojRvJVxo7QXnPTae69xBLUytuHN2j1FUyYUbhM60qlq3W96Cwz9QmDb7MrGbOjirqaBsZ2DQTfEHM7Gvx66/fNd86vvfcVksvLl28uWM3APXNM9aiA6plzIUgbLKUi6LToiGx6Drt/hWpKNl2DA/t5rWhgd3/YmP3I3QlkGoxZQfgieak3Fk4mJV7ljDqFytqvs+EQCabI7JndIjOttOX1j03F9DOqQI0jW5x56LlcajeDWpKam5LwWCjCygsbz40EE1nBXHHa4Y//7smnH8/bG7WYcI4/77tt5B76fi8eoGbp5LocZQSFO3BOTbjr3kJR625EZM+QovzFa9mSXmV7LddCh489nYDXZ1rV4INNG4KS1r36eJoYUddhHGLXfqeHDEfP6iZDXy/UsOcx+GTQDM+IYM/4ieB7VV/T6RVY7ZJgcbZi6Pb9L7cuWiFRjwegagTxs9zp4G6SYy87xvranubcaEwp2LLJ25tB1UyRgQAhfTPiTeTJuwmRIXsVB6BfsjbZjz8Mv7y+REe3PPK+3HUTIs4Q2vTe4eASmtfJDr5pBkBvvxobTMuLnbnGZNhOszVPuMItlnZpOx3J3lOTzPPzRA9KZjRN51y9/4X4GQDD4gxTncu7RA84p93lU9BlC/7xrOHZ4fTAvq+HBjL/P7SN/zOnNoBGjHD7yYLs5iRBPdqbTlUbDSXo5jxBx7eHmdkgwC1Hmb2rEte++f/MMGOvmk5M8uUT8iG832YAp3ixeH7RN9lchDAHknZaQK+PguY2u0DNCaHIvHPCMlpa85S7Nb5ajjvz6UKz0HAgjYjFtV8LCMZ//43deI2MpMdgjzo/TftZrSym0j3SuhdfGgMeWKYcL8pIjH436ZvJF7Mr+OHh8Zci8gNbdr/svwFLe0i4TcbTZJ6+M3Gi/79ENdhOsKA24zXDiOjfSjGhzFmrToM9X8fdLydMSpdh4XSncIGrbXX/V8afP+Og5Me/g1Cd1fdvqXigdKiiPxqIbgjdH+uP6jNWLoCGzPcWgi8lxYzGwUrxDMsxyjcO6OkYY6Xkqem/cRfRT3mlojQ04hAi2Mcfs0Z9qRwtHRinxW5sliMdTd3TLHmvvqADGw6FnG2Lh7vzHL/k4brE11ZZ6uwU49JQnIoSsmsPFuX/dBvMFMZk/Zp/nxuISqiO31RfrZy+xMe5QT2OLooudyvaDJbLO+d43CLLTWddJ+uFKwIbqrn+/U6VA2sKC7uwOZPAhfjyQovhXiYjnpvZRXKW7Fju5HjQ+my44YJo5DVwxTHrF6oL/EYF0kQePrZlKdG+GWjPjXjd8pO2vbEtP8X+ADhyi2qfnSUuo9+myllTFSoiePbuocgPslsJu3h5mjf5E1eDDn3fTkpL5XbACfwjrFfxXRO+Yv7rNx/fxi0JtUqRwcKJHynzOynBrGvNKlvF6oAteUqdWZMrNrUnU287vmHd1z+jEV4NnNqRthuzA9Sur8dpV7T2JNFF51qOUD7P1Ec8u2STaGar+3FiAtlzYy67fbOmK1ed+1A4lF9Fd/FRR7vm/rT7PvvTwUh/A/uzXUzPg4dZQJX1snawpnsHs24q0hZwSWSrFa86hfIouC2wd296Qm44/oGZKDBbcIt2XroOXEUfXUzsglkDB20SpUy0hxLFPaNozewgMhsY8POSuGvSNaph6+MOvnwl/Z5Nm9Zicg3O2hwYzzVxz2qkdixx4+Tp424ZZ1fs/aOuJ6w2Roim4+juRus4k0trKmg5L8ycsK6gYQtH3GaJOJmxf/GejbpARgoJ6fznVPfTDFOHZuX9zhfdyFolErNmXxmhtoRj9/UapsR7Gg6usyZUy1LkGBpOFAryeboGdWHZbzUw4wSfd31xO09etDXQOHr3Ca+vBiBRvBBFFqwJ5MCwCN1Bd157y9IFhpzZ7doQNuzSIjgCsMMp2wKj3yGYfyQjx3CzG7DbO+kynasOKUTTfDhR2ZEwwnacr/k3HpE6bhprCLNSZn7PiMJcA/k1hFqxXtUrgTOMC5Y25eKT+O+jkgoa8DiacQa9JWzHh673D5RWHN5fyYHroUTl//xZFmPJwCjcuTB7l4/mnR/emjncTBeMvIqvYjj7evPeQvN/jniTW5tWHJ+fk3W8jIisMt7UCMIdsXooulDA97n7AgK68BDd3svo7lEfaTf65NWTvimNm1WxgKG1eZg+troMub5oJzHatGn8COW/IQehqfoOCCSy9Rb1dS0M4cxFS4a7+ZyQKdomDPHnbFrpY04YBtkXMEw06RAvyGyhoLzTnThlJJx1IUiiMU4amMhS5mGRsEUwJNuZ/IjMNx8MqA/hZZH6x5fiL5zgtGxHG18FVwaFQO2dgwAdJYPWS1fKwatNLORR7weyKAv5KNGvD9BByi4weqxka1dBWZyc6uLXpjLRrkNEq6lyvTKtPsx1PF16OEVT8t/lXaeMcuIXYOlFeTREvqRaRQT6Fylnq97FQ+57Y7n+xO/E2VJr/dFLsD7ptQEfJJg5AtH7qwyC8pC7xc28wZlBjOFaZ7HeLFko0wrdEkUOLqQA9V7U4mRjGaezLnER1SMyJwfkyABPURNTqbDhIRK8BDSW61uEEkvnljCMw+6LV+PT33JoV0cqlRXyLh3emoS3jkTONQzq6B7nnHeULJeHa/QSzwMTzQ+8ob/zLfeB4MNmOjEzDqeCLxhRPQCIgyJODkCvkDgWnk0Lmtoqb3WdgASuS6COKyMrUl9YwjkT3v/ij/Sf/0/9aOruN3YCH9yp2Ofmk6xqxAmPTKZTSfFA2iUqjueJfGYT0PJVx6osnrrITw0gHagkVMb8jIelhyvYV4VuepWL8vRcpRE4BE8KDB7K1XG0UQFMseA+aJiOl+tkPdKV4RzmB2u9QsbWTqo+jT21PixoA7Gb8iXNG5sm5Fbp2N8GsHX9cXGcXj9mgulYwHSsoIYtdRL8QYhD4C9J3fUwGf+5nDYhCehpVsJRz+9eD056Hu75angHWyAc8K4GapJR+dFG+SgvJFYxRCc0Qr2Gr09bfnv+IgKClNpyzVFqczRnVdF5w0rVYZo04m+442UPbO48+UKAnRnTzyvK/kmtiKQzf7W8Vp16+bxhEC8AlKoFOr8utQxtdzMLXSDjbjd3m/Ydoc9LmAidr8zGzKp3KWTu9UcTumWGjS0C7uHqnzldv/9+00Pvf71cKOtaXoAhX5RAt5vvpj9YXxkvyudMsWi4SEb/Ojwy3kJuBJxIC5sfLRpZbZnw45o8PHXbDIwNbgTYlXM4eBLZNgfQNp+2ai8nZUj2a+2BkDFGjjosJJ0IEqeRGYT62BtToMRHLylsDJj4P2tf340lttNa1kMnhDNfopEHejJClC3Vo3pVJizG45WyBVum4uGMkp4/N8JKI8rRO95YtceWCd1obLNk1MIXCcvXAmJFdKiiJdFs5GSbTfcXPpBm4IKWxJHyxwB8sUP/WftiCLCNntCFeL68e3DnFM2+JMeKDzZy5dVGs7sLZkwu6m++IlfhRycS/4MCdGmWsrr6Kliy84xevF5TIalCEjNG/VB2h0pNVr7rupXObQO82Q3at+x6GO7ShM52VFf2JZde7ek3/mb/edEItgYXjBcXyWavA2NI3tvVHrg5k7Up4BBlVwVlMbKrpMPInjfv9PR5duY+n5JCZ3RdxYIada2Wu4ARWKP7ADOY0zwmJwTVNxPVnDlVjxcWhJhmtyGP1HSdXFu6oknrcSz/JJbv3Cd+KR+ulozHwvpvne5HgcFXScHM6XcigHsXQXUzhDPRUyODgB+lxZaZdBe7Kp7xmWjdSnytdhzFZBobkK/5yEm2NgiXkGf3HySCua7lvY0DGcwni1MayibTk9PHLVwsu88ge3op9knMWaNjIESwqGCKn40/pktHJACBAfY4mdc3C19Lt74IM+kabdZwHT9xKnShXIMpHD245sOiW0LLl9DncD0ibt1/F3Fdfo0O23uwIpVIID+fleLi9SV/HswE1FT3LOqNvpuBYcHUYAmGEozS8tBoSLZSRFXWseUGOnnGVNaCLXcuZkogigbz6p+giK9FrCBhSV5J9TMIf5hhqN1Ew56ZcOgXjBLqv0gWOd3/m8wuJPT8e71villTKQrCzQoy8Nh5/dnpZ5chPufxwWO923TsF/1p3bHbCwa7CDhD8wD5V6xwULLJ/jGF8/IBChznv5Rh5wKaHxPS9tmM5sdmP/Qb/s/Wrt4UjKmeImmV7JPToqjgWuZ1nlb6DUsXMia+bw2/f25zT9Ze89FyVyEHDcSssmehy8qb484dgEFGaSY/nLZeBIS1VApjiKbd503PGzIZ1AiO+c35iRODfh+fqZTgJr7cZKN4qlB80j7rx1WUUgcx1iNwMslMafs+4ihCBk+8nQ9BbY1tPJlaiIKpH3ew4uoPhoCsF9JjxYrYwUEqDdzDUFBjl0gLXBbOkbKJAaz5E3iB9J9TkbCvLAWDDczD1M7M3hv0+8or9scaeYAZZCgC9J9DahhZvcmpzvdyrmYNv3n99FcfNCKPcosPltSOyuDyA6TLp58i+sIapzrFl56Ufzy1ud4IkLB4z5lchXI4xviK2yUWi7x5DQKIiWzpCGJoQ1xIowzNv3+oQkKgTgfHvrnF5lM5UYo746zTCp7n5ITgZOCiLcyziDlDjREwdQQELvKUZKDKXdMS0ENAdSLyDLQehKq0FrSeqx+fAPWDNHC7RvPGphbRExaswOzhEeF/bT1lywHjGf+LbsFribcamcaxz2a9UTgzFKZj1/ki1FU5ZGmPiVG9qAScRpQroSKebYdb8isNZsDDEGNIuOWmj3GkuTaUrPRP7iyK3U5lwgmLtyiV/yDKAfI4tLGAJXEHZwLsZ8BFh43cGL7Bi6kwzYHlq5siFR7gVSNMjnrjxsHa0Moa48kKVbV5NCoXQEZT5xTHKHKX2qU1oV1zTXASizf1oy5xYjT7vJm8BssUtvezqBLvJfqzi4Pw8QYcXuWnfGlDINBSXtSqteMAjyTcXGu6HrfXPBxmx483cW5IunkY7mgG0/4gT3k5MpqY0h8WrW8hBhc64yWg5XImRRADUtfNtVSYx8vZaoPhH7h7flsZcO4emUouJwJ5sI33bnOKussKWSFY7K1ny2Cpwu+kZnGiVjJp0aK4wwfkNJO5QmNZnkH7eVVIwuq8EOyeOzOWL777HcoI+CgoQa+KB35DSlo+f3MK9vIFn7JlzYUP+6/uHF+q114j/a0iRBAzVqWg7+UHp65cBohmxH7TqSU/MzytspR7MHZ9T7OUx+tx/6drXpTyKbRCKsbPXxDlWGdnfN9/BcWo7ok3FsfGowHrf3+8q95dm/Svq80fG1DsPN5EQo6M64KdvlIC4OFhL/5eHpMjIUVHyfpRWhIn+BaZ0+BR8o9hYOlaU6UiIp/v08qquqbzxd9kBIp8LBMy3dhevjv98freXMH82+N9LMrJfV3e5BcCqHvJZUS/mprzxjvMWc/+GBSfputGwvK7eF1tkkcnNI1sCTO+B/1OFv9p8YxGWoByDFT+fPZ3aXRDClkNXyRecmg26GlH5JIErPYBvbEh4U77vw2HQdc/YJsZBa8iIuRP7CxAhqzezczR0A8roCWV3IlEatOYwAkS7Z+H0W9WBdEVSIfGRdYHjgNMKxX0a+aopZ1xAJE+JnyM2ag5BsrWbkZExxsg0fm7WTu1ExRMAx4ZdwQUBBVhnGJYF6aqLIxnJfC7fQ9CmofAPzdXnSvlo+4aGuXeHeJvLoVzhk2oPLBzqegWHgWXVWTf9ZDd/31IH8n8i298bnavjHjjUrc3wfq5Z9HmvdjgIlikkNwgtIl1z0n50io1vEss/rFfC14QqOSuKuQ0gzON4vnkjsr66fl2zxncn6OkqLrUipLFb0hBUzAbbeQAmwtK0Iz2wBZQVk9YOTHRMRL8vVHx2WRZXUqk4qzzmRAUcMdimVYsi5TRMbfrDNc43C/QoJWu6T1TV3MElaNysW+Tfq87TH3NxiTJzPzG/rrUnNVdV8zpwuyAmbdqCibGcrmDmaVYG/2wRmaQHsqEM+0v39Qc7GcPdv5sNxgLwsaR4TLiPuvf0toWMs/lrofuN3TDO8RfWw/UfbDqXYxrJ1WMOwgUdYDsrgRC6480iNUFCpUng7fHo9tAJN8msdcgWjkLqc5ulahX1/d+T4VM1P8DfcLQCqFOhONhcV3pGlb7r9e6v7G57v5bH7g3EeI5rXfzGRgjB/96pOkvO+TZikor7J650z/rbrf1ttppU8aUYLGulgSLR6nJs5k08F/K9mKw0BTS+WIo9e+uTuldp7njCOnFlCdTTOFQdPK28G+SkLS0tzIQWNUF5jEqxkp1k+NgVajtkcZM8ijOt9djrw9bVS0Rb3qOmI3o5kdtF7rb8WrtM2UdIKtoTnZJaewmp+fMEK+MB+DDglfoOKUnqYoVZ45ApH8q7Olx4mDKZqvkoIkKitNalGARxrMsKRSHSzky0KritTac2UMqrhbQgdbEr8w6+qy32UJJDwq5eGfmQu8vZkuZ5NXS4DkSJ/0P2/5khgyKyckFgxMxNvOpUTTq3kL1k2ALx9NiRzOs0poR/Pc16IBy8dZlM0J80M8rwTURxnRySYczuFdevOyq/1pY6S3+J9+CxyJFJY/pcEa3Q5jizdO2YgmJBBJZw8dXiIfAqz3ZgmFJ6gB+B82qX3CrGLjM1G4+bpu1NDogCefbYo+PKPSKolBTgNRwczGuKAU+RJ3YeUJWeXtoJe0EB3vNngBpF5Cxdc1p56dgop/DcjjIz1AxSjVLgdfGj7nJEQqy79aJbO1qRB9ChaKKSvye44DZvJ5yqLFx3UTRpczxFaBfJVpNAwJL8Rk36es+maq+yYp+1Ng3qT2zPEXcuf35oJ7ZTbeu7r8+JElfuoPXi1uPtWAYrugDxuDjwGa7Cyg4KGbqn9H+TzqUhDEne12VFFZm8c/xbCwBixJpIMEryOaUXy04aB2QF9OE9L30hfn61jOJPkUHJa2zYzBxRubO5X5yQ/6iFtXW4GNDobXYsd6zn+dxRwmXMl2gd7B5eFUjfkVnkEBbQ1S8Y6nh3lpgY+XPIGVAsBNOf7DOx9/QZj4ru4CtDkzHfNMeB2bzRr+5La7sfC7y0qgVcjz3xjZKFkkt2BHlPL37pp0rGtHzo7aqEEU24dleEOC3QqvBIug4Pkc1bZvFPhJmZBvmGgpQmhdv1fZG6HPjRUiLCjHk6iDgXUnFmMNbn1SxLZ2c0kaHuRm7fqDdUh5vl2Ivhhvga/LDpR12/F94Ws5gtg3vb8ZFqKhdlYIwsKv2sTrJmgcVTY5O3EpQhQFRz2prU573b7EtfR8qtKSA5wJofFpZ+087cCXfC7MHw+T9cgXhpZNEIita6xjeFpwdX72A4vEfbD99rkkqcJarQyVYG/TQLhcDqviTZspfpNjzoN2Zi+i3P94+UY592vdT7TuvyoonPEhMzUbqWnqktr9uSrVtlksKdUN23oTmTPjnjMkH5VGwPtmkrbcOfW4+qxFBzJICF6jsmcKW5cYzBTZaAzUkZRkUqTfo1qibJxouB/kIBpqA9QcOMpkMVjjR5k628Ewi5qRpx42a6c8SJHceUDhCEvE9aTvZ0L3lJWHKeqPL7ARc40JSV789e6FTffnVcWtDEjYMIxFfKTrQrQA34fTy2g/uEXtm85+mKDSZWOaYWjPJhewqV09+Oq9XWVVA4t8CHU4+HGJMz93xohv63bAk38AS7/LaEFggLBq1AYzaIDqUndgAIlVBTIvN4CSQHxkRmYPwZ8PJGMSgzlBxd2k/bGTW5wtbxW8XF7uYYVk+ftbrjrSis6FY67Bhy+OeRNVMvqKYnZP8AHbznwrZJhlARwwmfZqScnVWnMhApHL+tFAb9UVi7ccJnu2dmECD60Vg4eMYw3RFrAfdTbH1z3sH9U9AwSbi8jM1X0vC+xX433Tj84S5RSmFNUuN550Rk88sKnk4iDXa+xyhcZkEy1yVnQjYRC+dGsY07i9x97hkhjiODtgVezFZtTWFyEPYca1MzsJVkDtPj1D9DdSld219QOjjAuEF/52mLddQWLpZSWNljuExDWchUZRzfJFueocFniQFzQHaGC+EvO6StZmPCjPUhNSNY2+AROIfkQSNKAh4Jla3EepiTXYtC3zoGZvdUzM9szJIQzDX9+5fH44Sniv3jZmUH0J2J6AcZ2YsnrtpkapT5JX77Nzl7UO0K12nstdlvJLvXbroNQnE6s3Q6svxlXf4e9GMp2Osig1CvUiWfW5m9xSvTfHgPraKLUnMiXKHef4qV59/bOdq08Cqa+SslHqe0kh1I9NBVA/J+385DiM3jJZWr0oTn2ePet05bjbaKt+oPlS6sWZ6pPD1Jtj1NfZvcra60WWRYXCUCC6lmkFl3oJPPUpkNR7j4ml+no+I2qh64YZbH2d8FRhPUpN37SILjKvPKjwl4NcnDkFoCTb2DFYg/lJ65orCDeojJtXcHAzGkk3mZ7O0j3jAcEYNIVe4LPwEg7lQcwZx9eX9ad/+X19I9qWQ0IMz5s4KK3JQhIjULDKA5GsElKhc8O0tL7fYDFtA6Ne7mhnilCBdHKWWfFwwDk3OxWFTE4iCtYpqyKKMiVnIfTInumFDotqli8shaLu4njGBc5V+/uwVt0jF3NqPhE4g6CCUTD/VUlbkSmRhLxPn779r019noIxQ9yfxMHOGFfjIc5t4F4CgtS9zPGOrIA3dTUCKgU52lMQ49YYO4c/SgA0fomuMyWx00YF1v2+bHbqfJSa/WQ2Smhh7YfGW76qRsQN1W6UR6A+bujdgrbzM3aN+Ucd3Z7ps+G+c+K4vVZ19Kjg9xc7/Es8Qd+YVamXjXvjp6WST9Sls9UjKoc6aMb5ETmGpemNaToZUKpmrsRv5hB1b2BpWaaTIkx5ivjPscEmNDqYyizCdOq6AtC3bBDfdsfRM77dR30M8R98iWfLfoPqM/LbplpK3EvLoyRLFTqiZbWrKZVC7bKrPAwCEdVMCxWJ9NwwkjxTvmzhDUYzxj3ist92njoHobviJwAEzHL2puCNLdymhMeAlFAFy1k6A18FBwBtzA13XEe31v0NScCmsGm2VVs39OVQi+gWK78f0L8aL/7GQjTjnKlFLv7+uP7iRWNQEzYf3h6BMqqyRbU0RzNEm8RpkU80ek+z4xDjQTJe9M5bfvlCV7cqtShUYisLuWQNG9/aAot+3lU34QX+RhRTa/sKUCAEzWxmQhvkDpIfXNsZm/wdB/VQ76/Vecn+SPo4wIW4qCZe+4a+hG13dX/GqfCDZxvE5NTFEg1wQXZ3ryvzbeTR21xYLuDO2KDhWS7LBS6hCdr1gO+E6F8wgD+X9JscLsYnqnLnaKDC2ejoEZTgB4LC5SzFDJ3yYP+iWYe4/Ql8vNy7YQwM/oW/D6YMTD+/jojSZJLt5yVuYjL8UONf4J+1GAnZOv25Wn/x7//XYDb2szP6sII4oZ2OJRb5cezlPEgdwHIIj1cxg1hG9cqMMaygaiiYQD4d+shuu5OPoUCmKr/zF1TipMOVo75w+cLpE0N6yYpwfvgWarcaHgHXwHh1MRyJmRPQ6+zHSUIcnt9UD3dRosRNs+E6ryZCUP/Gw6Kyr+y9fd8WWAcfV7j8fdHe6JiJ3DDIwtMHujX8jNVm4Z6AnSG0xoJTgh2eU+WDnXSa17sdGAI7KoSpCIHdBhJWFH9EFTUfTKYHUd5BhHUQ0RxEFgdRw8GkbcDu2uj3MQL//er/b3rid2T9f/yfDrkDIq8j0ZyOCO5G0qMhpZU1byOtvn//f8HWSHv/YvbTyNQ5NyMu+yJJXsN58S4i+RWpNbkxK9LevxCbIvEMirT3g+BLZGQciYTzH8I8h4RzGyI4DAniLYT5CQEzIeb9xYYutE8Nl5hD0iy1SIb7LyfgG+RfK2ARJIw5EHAG0nmyBcIMgXi4AdkUeTd8cGKzfYOTZ9KkB9uKr6MdqF1M/Cb+/wckUUATA7zuYagCjiSBXGVcSQNAELPOcCM7uMgNHv0FL/lv4L+vFEoPTy/i4u3j66eC1RqtTm8wmswWq+0dIQbAdDYJjTG2C0Skdi1LBwXCHtYJRVIZdHapdvdIX2F7QcgAMFT1Kjx0VmgYHRz3sJ2LcZ1f4buQJXYZFDoIMuaMbOzsFrE5XC6XxxeJewrI1WK1IScE84AEgADUCZ1dQxSGhAWqwuF1UAaNe8QuE4X+BME79Mb3gpALwDV1foTX0kfliz8AeyV7Y2+fk69OQ7gj2QmpCu+sg6ox/rAen+TwJid/63ki1SaAj1jEp1k48i9xBuBGYzssen5TLJo2rgaYEncmhEeLGZ9mW/l393zwc3bP0eHm7i7/dqWLM3Y7uhTcNAxlHd7PjMp6FT7jKPKEsa8O1B1jPhFKSrtq40ueV1rKhVHgfQb0urbS/QU/zx2/crN9hqaFi3g0RDM/fs5xmtva5iB2lrO0BIOjdoRvOvCSFhjEzMtjYjUrsfpKNAzm0d2nZtHXAdql4efqNzqSaQ3wQ8qgFV7WFTrG/TCUWL2tiEhbAI1tXlIAKyouI4lMsPqashGKJDoZb3ji2D+XZentTjbvu2/O4vLF26DiD313+VexrVaNzMh90pMnrKC3bHpU43/khl8mCuPmsHo27RSYLe/iQD6HvkwyCeWCb8pg6/Zo0cI99viWzCgW+/BXGzc4GOBSv2UcuvAih44nW88/u03yxWhIwc+nOb//uNWmnvfGxivwtEnfPgnQRqmf3zYNZf54EzlEDM+cnSe/99jo0GDOSOvl/xABhpHMP7dp3Kf4qmTLTEIHbnk0eX01FB/Aq5faCgGNgEpGbvxG4E7NIi1J2iYELCSXUxNUTdvlQ+OGd2h9QRppfNJDYtfOyMSH4IeOHIupIEYCWARZA7Af7XZWteVrvCy+mQy0aGDPa4HV01iGJpwxAR94eQNvRXd5wXO6JnKIrp6J/8810irorlTJj61LR76OqXi280D2ITzZFTuxyO6b9DHNP5G9BOs3PNXbdI+zJF7+ymDg91+Xaiina/TTpM/RyOmPjL2+nLkiejTE6MZw84ATVpQ64HcZPcB3t3gGfFX44UiNkTu6lPJonhw7Uv4FbRX86ypLytNEtj9+tNXZTlizb8mnpttaNgZ5598k4QxuGPjh+r5bDnyfRirS9pqDePzEScUoVGfFVmMlY1BLPsVrhxU7QNFS26t6Ol3G02jxwDKg918dZmDEnUj5K9KsTdaAHQQ4WSRipulRms456yOodE074l5BVi3h8IbeG6BS+NR74aclHttVFOekCR5htF5cfjo8aD+FjQ2vMie5ULjDjE8zJicDkqGJoNxzUHOsImpBqDt/Bfhi2cN1/jgeoz3i9faLSxwFKt8ncBG6SjBNF8mGOZMVjTrjf+zYoHPNpJtJLGtG3IBhm6dT60RjJIxWJvqHejpr8tdPu6OSgcUPd5sFY7PDHlXtYEw9FBye28CTPefpYGEtBiXKX6Fx8dW+wCyC3rhnSyTlUxtbddA05CFk5u2SivHI9GRD7yLDVYiy2YN4Y828bz//45LfUn6GswknntjGhjtxT9LN0cxojoAMf0ijZN9gkGqk0tg1wZlUtVE9p6aeBKiU6/kmAXfXINikBJWL4BwYPDBfMxtcXb0ax0108zGqkW5Rqm/bLp9mkDq80H2UoAxTay7/9ueRUJ1mZJp6UlOv1Fn4GkPiJyfThG77rSHS9MC6Q0xlnppHwPKMi2YbTNCkA+QCUjJC+nF2Axx5BXcWKsxz35i3JFFggKOYY5ixdtk03LoY4zN9Vk1pJQAANxwyD9wpXsDhoeYI/Mt4AA9R52JExpjDOrkITdjpCHs+MQF8wK/JGAyZk2KO3BAyT0Ejr7tFdjrJ9Uu4/fIOdyYwC6+ZOrJM5/g+fnATr+EVXBqOu9NX6CtWagH2OqUH/Bte4vWR+0/flQvm3fiPYoGXvNBnAaO0nYh2nFJS+r9PPrjOi1ubTqc3gXVyaMXRDU3rdPM0/8b4jj/Y8+RBOvN8IR7URujJ7XQp6Fyftb45EcJzdwC/8FL60q2b4SgI5hvwFbj1GTmp2Cxa25q12ycjGt6l2TyxgKDoVs6m/l054N1F4s7BzuC9dMY4zc7PwS/Hsjy3GrGh8kOfDheMjwBkQ/Et9gqr729v3fALcIEygglflE7eIb36kN1o0b8AT/P6AcyVB2nSD02v8WYegsAGY2mDp4ZtZoLnfEMkiUxR/PM70OmNn8OWoT0U3IMZgGRoJgfOiYy3Zft5lQ+Yo+bSf4m5tkazRQ6UeFzN30d2AJArMSbzr1z2FeDzYt09tP0BArnc19VjuD4d5I3G4sfUzaT142hKeFZfcEvyPGo/AA4WeZ90oKufI2JaCvAePncP+4rGhUNiKtsI4eyxXkoiY8BqYHkFil6nLnwFcq5MB6rowZQSssuZyl4zSjbUHs7pPmCudOtbHr1Rzoqxnfuuyu+2KC2ZRoQtFqenpErPCOgCT3Ln0o1+J9qGRSFe433pZIqxp0/HKk7Sb4dNsexcNl+StPg5v2vUO33mxNybZuH8qDd6xURDus+08jMH07dsp/Q8PXbsysszRKclBsYrRxbQHWCIP87BTB7EpVDnh25cXI/t9Y0eWSl667VJPpEii9SHF0L0GQPr+vYQQrCQOuqEXvZfOIiqtsA89gEHsF7Pv8YSeav8zOuTtCiA7hXFwl5fRwxabN15a7e4XCUXba0PXP/dU8XxDBYO29RMg02ALMDj8KcB1zafjqPUgUAzqWfH3YYfBEXZJbJ8pQRdNuFm0oBK7z1tlhYgvPBzGtybx3RX4QBkhrrsel42PFCrJXo+Fon0nFj8DX/lAN4AX4QzttUs6Z/KPf3DavTAeA3d5zmHElHnFo8aOb+GU3zO5VOjn98idKoSMZWBS0hb6qXYzcbFcod05d7PDY16JJR10bSdhvR847yZm2GYH/H4Y4M9K5QMDapyLbDvPAqDk1wGkb/MQgoNWjny7YQbbwTEl/bbyiWfFunLtsSAFixJQZS9XU8xKhAhl0oV1rhYtoaREVUaHjSFzp15eQo5xnxfVnAArWJsHNt+j4pULxAMuqDQflqwZB6XSueciVrzEzOREO2mlQvRNCaCGdWki44mUXTbvBvfDgEx7k13LBsEdzuoGtUXh74ZJ5Qjkr7mhVJ0wFh8xS0vZcdZLWfYbsOjZFT11sBJw0AwGRLYiHBnEirnRpm1vEwKkKsMl6EgnFqOXMSpfe8J60/En7tmTWyxbpROKc6fSSVNoSPanTKl5F9c3JCjEB9UaUZHMtZNmdsz7rBaKrX2CUPOuhn2/uT3Uw9GRUkIwJUSLQO/+IBlogN2D+otz0OYLbTLo9xVA8ylWh6sel53oq2MPS77Myog61Pu07rNd/hPMJmeVR/0CaS1BxZKj9mtqw9kyid0srd2ynquw126vMWuXs5sMadO6OL92uWErvbWru/RIMjuICUV8N9tuh3dd9S+hz9Z1z+VFUMsLPPOB1Si45wObs6+pMufslHqXtoYSrApU4lO4Nq/YGot9sM7DtknGWMfjhswMqLFg+WEYog16RpZMqWL7+5mmC3SzsSwW8/rKhh0q59s2sneuANQ8liu1ZGv61MKmGMiDOyb45Mt+w/VsCxDqjyUifiK69knHC7lVIHLwQYgSRZNBdNEt60Zyj3prbjzVBPSse8iG7KvVLsZdmRlLUY5y/jOJF4sgqYriJNNSrz1FbafWU6C5HJA6Xc+dfwtXZtBL/O6IpAsDKtGEP8lSqWCZ8D5uhf4ZTAGudsvy8xIvCWrOgNmvIx4o7Er0jjkqO7IY3kJkmFCwRI3vN1PObMVQcNbAM47wfTbti4jsK8IncbodRGMLwuHk0nZwT8Qr5aActg+m5KQ6lt8LhWeEzGLV4jZnIIodvL6DcL0dorzimm9ujIyUkPoaERfAjxOdIlmHl3bIYec6Wa5CepTsD09wTn3hpJ+2P6r8zocImNUtGdgJU+jHi8Zf2Z38fE8y/yQr2h5+W9oQFW/wBO4DZJX0roZu3q61aYNV4pc6SyA0k6nGa4APmwGJYZK1S2bF95+2Q//NRetCq+L+cHot27iTto0ChNcmX/z+PTjJ1Y0vcVnKe2jn5gv4y/wx4XcAaMJNM0ctXa8BDQ0i/n9dTvkD9ftaB91U7ya2bFOJ2f0oTyWUvjq1Q6Y84BM+qMlNcasZDgB4fIpO8fX6u76fPlq/mgoutE1klLZGVxCFwNH5O9EryexjuhpzgNCNcmZnke+m/IwlBrkxDnRAU/QM5fLvbgOp5QhTjscH0sINjzN582UM7yZgrdasrfkeKw94KT22uaTDtZecSMG3Qm95vsYt7AL/UT4uk19ONnFEXQncW1Gdba+36omB/dXurNJz/VCoPCXb63GUY/gvr/GAvMmLZ1Ps/KSSb303qNQq9NDc2DfPrv8Qwe/k1y5+6ll39TtWxilptwRyfrZG186RsZp9iaCUqRvn/XlBlERiELq8g/WUpV17Yx9N5pKWgre4OrpGvsQGIh32CmdNy1irfgaWleLmpoilNGZZQZ7o0L4MlMTt2ZBe8eDshImkSYZ8mVWMzeT9BVX0FeOhmb4Kbr6QcyUj/pz8/2YzaTymdCpMU7Pe0A9jEtoMq/z4XBSLGLsr+nGw9A7FJf8/6Zewluo68SFrvIEWalVQVmMYaWIwgt2Ihqnpv3HO6Vspo7g3MS/4q2uldCRVDZUOjPbmEHhZ+ky8jNc8umPhPvYlhxmB8Sc6Ylwa4tprYue7RBRmjOqfEPz1RNTmEvQoySjTFW5AJkeME5phtQzNtivvH1QF/fYv+JcansIRPzWur0F8bBP6gBLO0AQNdmYMIV3jQ9jLlkzLPeKxh7E+SwCHPFHgQjfvT/UFjz69LkvAAHMHxEqEJlQIcGtl4jNlTd3TEs0Xy8DQ708IsN6x4JNM59EVs/1bWTLsv5AXjz5NdOyDTD4j1OywEUSVaoycpllXCftMzp1bnOcrEjLV4yx4XykicdgdzUr0Npdw2qlpfwulmJLVysd28jpxGI4WEDLic9XshoMLlxukX+E9uLCLdpUjlYvmdLpIR/RklXlZFfpR2M+lET7uJCbbS/9NDU5q+rQfO0aprd59Joa9KLCoPQoueK0vJnrgsGb9QzbdcRxVRVW8jJaCmdOIb/1lKzazVfXDTs1LGuG9IomdcE3T2kkyuW3IdjTUjMuuJmkMRGsEDbYaD62D1fgmBpXYGT/dcOXUryYuhzV9vLrVK/Z1yTVKlxezdjmbi4zLU/Pvm50tIAFdXqiiK6SpDWwfOsA2MHE31/ywUTdyE6oPufUoEI8SLuQ1FF0qxUu5hoCqsTRVrkPjYlGb2xzbSB6kZtB9tUcfQRJHVuLKh7x9NG0jd4cvHPZaSUD3bkYGiFu5+Y/1dlInzRuu3dt1WRAbcZQqzFiHgqqthj4+h8KRy4fgF71UaGH5o/kUT7HK/3/PZD1U9Y+oYPq03X99GBGvQ2/7WbZdRG1eoPLPdxOuvWcosim8WXl0UyxjiDEH58BP33dlw6gMO5xb7T8Jk7F7mm6wiN59PbX7JaFxO9ol/R3Vxxw8n7rINBf/xtU2COn9X9I1MsKeykg6OC+4dAuLljXdzv+RPw+Q9rL70X96bVGYCYGY8yvZVhH+cAlz1rNds6DfJSZOBDgtiMGI1/CzNj0w+j9admLVMl2P+WyhvgBwqCH6ujRl50eU9O6AnITd9rQXBvWUIv0LcGtYv6mpNTlddicx6LfaTuPVuuMzeWTLCqidieKVrNanRlpY7l3yhGFR/18ulmwJ1ElzWzquafBLPJ5kd0ya+1n54uwZOGGo9CUbCnHcku9j5kZ3QJJsMiLSixvkQ8sYYdNgDXqzArqRHzXEuZFSGPU84rLAa2lQ78ECtyo+Cfi46LTdF1FylQXacpsvdyGnM4UVnR/IJKESbydSZxvokiJFTEk8b75voNWf63TtiYD3owf7Uob5Lmi4qEeGQ2jDT4gQwNfUPmlnrY/TublU67XLJ9suI7t3gLurbrF+VgtFil/yiowrzuOmsgs1UzjXb9aVlO1+eCj0VTiSj2/A7maoCvYkFt+w7cBB6S5TZBgme6LPVsWalgUtXY6ixnZNh3lsy8ZMfVuclNY7LakfHK7tX9NAq2wZwxSrp4ccV4WWrUlXweAk3FqSP0fvT984R0nUsMSDLAWsurS+0Qb1l6gJvTnzEyGAW0eMf2gtf740BaQGbhszRkOY2gNhodpnZmxYSTIRGBVfTIRLuSIYnxZXhVLLmyvToPEOBW4YYs4B/lyzygebRdGN9sz7nFDbmpdG2WeBIiZP7XNfZbuSbGbmOAMJD19zILOITcvUX3XWoBJc+p3xE/cbn34HGn9SHF/1d4scRJgXOnH/kypdV9QBW7/LtjzKYNMscw/ird+wHMLgBesrjJSyZZo5APoCGLGnp+xBgBbDHGMh46KiVxLMwdRWL4OZAvhzu/5mv8rwfyGtvFa29LrAdVZgMURl8a+FfXHaNeFuCzJt8uFpBxHU6IXZ4wn6Ltr0h/qWUGz8rbzruiALGY7UbFlQ5ypji7yGZYWnvv8vxJ0q80jlVSeQnqvIAVhSCs3+g/D0qW0nI0Pmxc3ZjvTEAELdauzR2nEyOAVMXsnTop8ZhE6mAbUJv9leEXMB/vgh3TasJYRWnzAddpMvUXV96hntcYia6yIX8K3alvMSWk6bWCIlI6gw0kTbE6+Hgy0yOuIfswii+lPifcckuHNR0fBeYaa6/TUVzvr+Y7oHM/cSzCvAIYHb86rx8OD3N28EUQLMB20WD5BewveMo59ovaoKKS4SldmHVWsVRsWp/AL2Utpd5zCD1kUa7F32cP+x0UVpNypITTLt6tlkIrf5ugn54izLx8s8JtbeasVAIv+TV2pWd7wx8WjiM+DRWZa0PP9OeNBmzrQRDBlGKEKc0RuBVQVCMPKU298St5QVGOSMv47EPo9/hdTFSMlPYWrLN06/wG1qCLgkyvV6pvnk5R7zLTSkJZ8NxVKgZyB93c7alRayBW0qTMKPT5KnzqkPlafkEWpk3ByxjO1pFe5VWlRwxsfaHGj6nL2H8nszf+LmzU090Qgvsutf+lior8B0bS337gmoYIv/wlUjeSyHq/Dw1R9QNwEujUgUszJ6dmnl8quS06vRfY3JtWfEEU8redZcuq4nl9q+3N4BSAbyPP3AHaCxmbnQCbnHVyRL+wPWAUV77Mgm2qLLJAbOCsdfZyhAX1JvHGrip9qaR4t7gFBVRTwf033Yw9N6nvUbsPru2JT0na6OGbflo39/uN9jqAuC/6rnoI39aSdC+Us+nakY3Zflh5pOyXvu9FclcyLJBF7Ql5gL2Hky7Uzh3a3M6yR8SwFoMF8VMzMhFrdhuNu/8t+v5vBZlzYETPoc17pXxK/1FjUNG0SXPyDk9tI+9jJAByCbTtgH2yxerNQNFymbf7rLYVJo7MeZgHZLFPFrpOctUqK1pQZZtD0nIZ6xWvzUtH0qQRh0IHcxCwr8649Z7KZ520b2/x2ltjUdqwjP4W1D6weVmV18BhEt6ZztCHA2SZ5qLNNVa20KipjjHCBfYeRHJ0iTZ68KfGQXMlkiV071oXa4CA7hlYoM2GMMT2ZNCS9x3bZ/sHWpSFVpRUhH/s7P/dVS0X/7w2o7gow1svhdXrHldNoz5+DkJDCp9R47IbDCTODMzxaCipN9TGKt/PbFDo2d2Oz4Q1VpjmNV8ZJFQBMx5ve6sDIYBiI7M/Bc91iNg4qrG3GkFWT1Nk2fA5dRWxb1uaqxNnZ8WKATLxaF7wimLpMK/MbxlRm9WqNd0r7xZSXVm658p/OS1Bn3NhJ+e1ycswsq0fArA5JpbGm7YB39I2W1efIvI1vt9fkG0EtGu+Gc5PGzCI5Wj14Y4KNHmUl1AxjNqMW1BZNgUy26T0jmjB9lKAkMSOWOQPrZlkIL/bKec6GQPCIsIz1tzSx6Aq9aLzLlNifwaDm7URjS8q+hZ20DfBEtynbAk8pIjX5JJXXi8pNR6RjsMAwf3lxgor2rWwftwu4SiOA27zsmx2zRXiy9+9JrWiAHyOflfWOTkC3OkfVsWTK6prPJZH2M+0UFkts6JpWm2xvl/CMi01LLRrVtHzzmyy1VEG/ITHNL2sgkHFfoIAyisdeBfLHu7CZWQaoRnzhapKnyopIC1fuFxeLBJmiTgkeDWz6AlG2AH5q+jGoYrOmlAojmTLVvccQ7gyEKp54nYyv3pQ4xj46NZSOjjVChiBDbwamILWuSmZTmVK6Ml6MfRu04GgT+U7+w3B0AfOHGZaq0sfO0krV6f/5P9w6O2vhWvqw5jrDC8GwbvpVjVT05TCV3vsPKspMF+ODD4xaS4F0PElDS7j8viiFyzaOfIg9265C9Uz0bLf1XfRtlt1Cal7PEOc/dTEIDi6NgYbOGGqzFnhmjd8TBBAUL11w3M3VKJas0an6idIFsptAHLoaPP5kx8R/VG9+8qBw08j5/9o7ds0BFv78t0YXMU853sXBSwE+UnmIZiZgiVgqPJgr5MKT1/FczhsE5MuDFkJGGf393m45Lf9ZFEb6MhzaAmH1zTgtEo0HlzjPtF5hYW4pNS7KJQq4MtRBboOZhaNov1LFcS396m3U3dMnJmMbwQ38lkkZbJ/iu3k0uG5m/VC0UOO4sscgd7yDlRz6xHljOUmtD5GYGPHRbCuzwMeNfg6Ywtl3CAKy3yyPf75slOaH+WZvGXCmun6vVETWJaBlCYpKv5SHMBp2kcClIqos7jPIaJf3ZDowTTKVUsVR46MrenpaCCVr7LMBpxthuoDMOM368YvYYRCfnghwGoxiUkLnGlNj+EfLnCRJx3KzrnJWC4WHofBdZTvG+Sz2NhxVmsl4t8C/mx0vuNJeZIGeKjbwZB8JWN+1jBIkzhXARfwOibM9qpuqL6QM/wCcv1LQDLnjzm6O17xbFnDd9NEpiLoJr5apKGScK4jO4c1XE34iPtTFiFLKMamEkOjlk7ETT90IWR7+BCwE3JRZ8xv51vRjmMEgD5jVYXORG/TUD6bhyMvjwmRTDTgMr/SBSxJkA5d9YbHisJCBTH1bCuEisG7uD50HJk3ojsDYZlAn953EhbG7167GocPiEkEofp/O+iAPJ0x1LtlJ3KlvgjD90+cHXDZOR9NgcPfBsV3rjqlGQekv1pGfjuu8VInjti3GMa0hJ1osfOKY/Z4LzmuM5d9ua694QdHR3y1EI+eYSywf2yzYjwbQQQI0QwCC5pGEw0eHvdd6RvH9wHmLqpraCGHvAfyPmaHzaOGUGRiJuCZ5p46Pkqg7YnkrBq85DE0HwpJO70iO88iPWFGGkRJxIMrXhxfC8sW02bWG5gdBtl58POeJmLD+ScmfyIM5LXA+i9liEsF6ATgzoBew2zjl4/TDcxr4X2aGRabjY3unzrCNuIxJhtEZnKF3oiwjzzAMRO4C7kWOCrilhwKJG3cHB/CiUqlJO/mjgESedw09UjlCXWliCrgf95yujOya8ww2qW3J0ZvebCsrCiu48O4Or9xLpr36uz4+YlQk/aS76plGkphcA7lhvkk0cGlmICJ3fbS0XFECD26R/pVnxxUXgYhtOj/0jwqJiPrso2nB1e3ucUKa1NqSZLDMg3tL3ICSAm+lMQPWzkLSr9/cF49cg//l/uN1fUepmBMpDvJO2dSYtEOyxDFVNbjQXcflEWa3oCfNxUzCyD5873kAEXBJbk5EeoOi0Acwx4L5MeSHnt+qqHqF/+S3yoVCZdcqAJOoQjCpkFcu39Xn4MZe8Sg5tm5DETavNGpc5rTjyYUD/kS51sVc+qhILSSluoXi50JSkbLN+MZ3tafmkmdZ0P7fUwkw/zalMUAVEJNLh/O7KRo4IoB3dMciwaT3yApDYgZ6rl8Hrwhg/pqRRPpu7n3PgjrLTj3MlNCGHaEWDl9C5n5/hNGwSj8SXP6abrlkEc6DXqKeImD1IjuKI6lIdaaCapCeitfWEXRfbeUBzqM9CMJJrPRybdWsEj3py0keGpFarDFQlDLtM2dY5XkkiANDXq5n5P3xsgUJvKQDbY1Nno9SG2h9RPr1S2oJQtDV1Sq7nRHjuuu5VOnSCs+GoE/Kr+je2U0iFgEZ4Anrs/TJoWrLPraZmYlvlqT/kta70zxFr65eu7QSMre2eDSVNjeV3B3Bjfrg9d00NTq6i/nClpIhwPqZgBWhIkrDj2RXPwiP0kAk9PLFhcnlk4CBVtBkT4vimT2vKitdTk1JGDDaoNObvvZSvsu9l1C5p06SgSat/Ian6lkaVPgfauuCWhF1SnavV+PYb57KSYMqCaIiAMLhYn/exhUKa0WNXk7KFvAP1yFl29xaqYAVF6psZ8Qn8i4R4j1iqJFTTnP2a+o1axWzku7EF6x0c0YnHCI9pP11VqXOkEN2rZWNw0MavbCtyl9Qq5yVRjNyurAPcSeZVl67aEgcf28zzqMIzUmaHKxqX4LTPH0wwqxSi/cBB7q+yqdndWZ0mOjalErMKuDkOjGXYLRCgbknO/917GuZDqZrwEolMDad8QtROgZgcuy0qh/EtWFzmoUT7XjFkRVpdGXIVRRfnU9t2twyWf71tPUlzqOqB03wg090+wUTNLuEAlWT+pAj5Dzr56CBsC9KFjQX9rc5/2lrlolAQX9uGeK+g/AhIeFZ66gEz68mnnEnhrwIZUJpcOLe1lT9Z4BoMlon/pNBbkn66lyVO3rRzuSb8SewbIeUewZgULhgb2DZZ8t/2n/Mj1zSE3rXbtKlU15beqGX8lYJxgs4Ri1MUYC1HJJ5z+GBiQrwJRNqPSt/PnaPUjT8D8nWpkbcE1QmJrQUc805yfHkSlUM68tWlJwY+gV/3HWQEEw2YrOY7XE32upxTkpLeugFNj5s7tJrshq/dom0sskgdtKnCLX7eCqaMa5+fZQrb4npI7Yr03xIoVf8PfxwA649pSl53qSzNjQPc+fy53DUhqlXN0WQJrhB1sBdqi5qGHKQMS3/tusiCQuersyUFAHmRWXo0Ncy5q2EVxnE5f5wt25CwnQq/JvSC4NfIDtDLQFsl6yXt4AbIpkq3wmp2NMjYeu3oaRotv6jQ4Be5Mp8Y84Fjt35+a2hH63zxnP79b3B3qBkHndK2BpuCOBF9sBv9oEM66WiWlZx5TD4SmoaitI03q6yjdwQzS+jLGtkgFJhngfI04Lv7UG+bZ1pj7kkSTcpW7zJjWUU2+nvJF1TwtEgxRMN00S9mRiGGr628/u4KTrMmUs9izVV3lhyDmlMXcrzZVrEOeClk5qevmny2zgrK/QueDIARVxLzVxvhbZhnrAPMtwSkCsz0Gkf/Lvx8vM9FF94l5du2Y9X+d1GW4++bRYB17U2PCXOmLcxsB2fGkyNme7Z6s1Oe+48hT+5AHr30rIlj9/ylbOrq4neBxuIdWwaem5GQAG6jcXTm7s4qh72wX6UGWfyWMaZpXGLYfFZlo3jXivKIY9dlxQLuU/ZWQ+r5vvVd5vtMVJcCm7G5qLrhCfRqM0W09j+DK3S0/MWFrAD3EoSqIdvXnsg4f13BOPtNnbzjXk8NP5jGn0BVzoKGvN5XJbDOKRIUSGxvNEU7+IsxSOOIC0CHoPvsDnkrXB6k1rZHuQhpJ1silG9u9VP0DP1dqFEMQ4JujLqzHHfKxUU7FyEGd86pjbDx1Ka8A5w3SYWHsoPSxVp8+Bb2frKMsftJjldPi41miNZI463Cvt+UUDgloYXyna4Hm4rQ3RRyY7hjLohYBYs/AEQOxpmtS+JM9ugN+jy+lAqONpObzyj2GgStp2swup0gJVTmW52sMUjpt8mOb14phrt80TOdPidaHfU1l1RuK88SPf133/xdpHDttPLZMgj1XPbcsaG7L7asGir18KtxYwsXx4swj8U3HNaPlaWjK5QO829pCKV817aV4C5MEyZp7WQKySA+PQftGozE5XxAtdgxYA1KI4rMppqsm+GrzZPMSEcp3OulzypSQxNjSYdwSHST/x7+DgSz6cQcamIfvbJ+U3wk9+cMKfNSTlr2nT7tFNkbgw7BynsdURlo/I2krhb0IDYEIamEY2fiiN44L3nvDs4wHzAVvVCfP0FhY+0fDYIyUHm0FFxQKOHfANAX4coa2C2DD43xRC5wRT+kE8rYaxkhdaSNwalw1505sWq+BPYqrwTwNpCTs0I1g7wPT8JaXgEaOdEQnRMDNDIaiv2OeNummyan/RxUm1l+0xSifmDhfASpMLjylXkAShGaipqW+g8NhWniB4ICvG738kgTtHQcdh9XaXoF39dLpzyiwztMSZzHr6ao7PocgUetiwVNguoGytOc8api2Cp4HiKszwV7B9OWauyK8pmcPJzXXpoEdLRr8vKHqnB52vkG3QPdTHwDd8RLk6cV+WjIHH+vJ1y3MHoiWQW9bqiLClAMZHcIzPQvT++aUMCfpAvekYjjz8iZRHpjapdTm+QR1+ab4Zv3TGa0DjuTYf0dkNduD6G3frRPgmVQDx6+8RZyN+/Me2woKQz9T9QB9JaPeU8BEtoHgM/Fmkn2R18enCGB3E91ha6QXwqa4TMRBQTU2/rlWXAkGeYodH7MEzGiJlkwBusg7LX6ZWGq6P87kR3nB9hKTUJlL6EEeVoGFKd1WmlGPEeCiHTQQLXLc4n1+loEurRoBTGk87rA6zE+eKThw4XI9uIPpqbMWEpltw73YcYfG1rZmqgnXZolRBmIFf2qcvKSDiLFK74SVNba7citi3n305aI0FkS7l6r20W22t+3tlicV46V3d9vrCT42YfwLyaq5ajQtxCaNXdow6JrwVTBchuR1mJ4tdinaj5Hydc7WVxObaGXQbXbWIgV/aVg0ppHkniM1d+phviKPRfXIFwpNMxl4kMSRCLCwnqsobEq5xcgpO4WWuYOghTTZpDb4LZuomQm6sEVxszFWJpDs7cqQSPkYOVsU8FSB6VGzbYIsTRkxnOW+LS2NF6SyWwOZuR1y1Ib3uz6nR53Y6ReasMUAhWIA+vidr0bedcY3CiusRwCQ0Un1ePlXm/Yp+Y8ez3gsolD3o1JtTNH1m1aL2zqgz2ibBhZvAAZy4BPYi/jwnDSbxx8Ydb6TB63iIuCzxwi4CDKYPMGDCZQuN2v3fv3EBtbSbCHZ48IwZrx8WPxSnZEJKg+6cFNpevtcEm94HIWdsPTMRcyuFcJDwCoxa7KTe96GRtjRYZoOiIxdUqqOLxWHb1ryrXD6WQvSVepuYtoyBiaoX2Gz3wijFjK8qAc+uZWdHLRQdRqdmOuR57yEvPbx1t8+OGuPcZ1WaXPplNCBH9QYAb0GKeKdgAvn6+xB64lj8N0Sk2JTj12LNoYcOQL6+dOsWymfQ6LmryjXDqU8vuXu0pGHmS6NOzB+PcoJLCVsOHPm96punecgjBhcsuUTvypH/OpTqnw4g1Ixy4tELNvCTkbnbZ6qDgKVleiBW70fvCtmEtX0gB4Qn8YDgIzHVib38rBKOMy6/nIx4IucjUSWwmT8/rfils3BiP/eb7jTZlIdeseseMrOPdvcKfZgUiQ8jnCwvL2kMVfYbVeOemn0LAWXZTM8rm5Zgc6PHgJU3IBZpxuziUOT67u5uMAD64pJRil9/Tms9jxkSOHK7ayjNMxRcDUo6LGrH8q/gyYn/y5O0yJJMQSKPL6aPiIXDH29yfUqklKntrjJoJVuNw/axONutjr/8hPbXj9PUgIOuuob93lcsw2zERGtx1iLt+gN8JZZrGoOYyv0PC4zPRuMBE86Wpj6SvRQ44FaMAobcEw/pc9D+qZ0JWEXXuh1dAclVzGySh5lxr2ov3YIztekhXSqCKpQQDYk0diZRgodGDsZhq77SROZMKD2fedrlW5zPLP1CSDZdl5LidqPv7N6j4c0GvgDyz9bn349s6pFJpLzRRjL2FGRo+TmhtEsxDaXhCAmNa0SXusXc3o3jxf7ntFkvyhdA5dKQvQnvP672bODYTmTxmp/sqirKXx2d8kBV5Jt11hoG71TeFgHo3n4lSBprjIVMXJXNnFoNH9n5Lv/GplF5N/LHLEdfeN94y4HSKuBx7Cv9mJGYJRstDis2Nw/9JMjzIR8ozw8fNf3NypVIWz74hmLfRYQzUBIIP/IUXEYJeExLoacm/isNeA8uwe8OhKnPacL4WgXg5LgFC3KA8ectsmU0cF2oQN+k3Jkn496FqtkxrhTbuZZRNZN3k7QTjvcrpJbVVnHPC7BygJZtN4ti1NxnZPOoxyE4zx9M8yMME6aGp7o3gJYRKx4wxz0O6phhWKbXapoDuyjw9ztVNh9bbBEkEkapPbN2ATRPAMNNYB39itHRhw1GN+ggsiOMOcF8aq8YWIbOAWQp5oHGaF49/s7iOi81b/W6G8xkwL3bBG31ZfNNRolpcwaCbHb91K6xrnowbK8DZyeymNHxL46dxKaVaqRfFqjPUA7daesrqe3vSVRSPeeLZ3Xujq/rrhp2MdzwcZkrA9FEOo0/7loH9hNNrB1dNFWMYCT5ufzQMomfWeC903KNKcDSa41cPeg3kr4TIzpxedCgRJ59fQFDxMucfExhFOsfYLAnujb2WrPBkTGilLThgOJeBajSPIpa11UXIyuPDaqYlhCWZpPBatuokhapl1+Jz48SRv+5d98glSBCH7c3PVvJFcOHRcRmZJ+4dKAMvU+6UjWS2Zg9WgS2h8vMS9MQ2noL5XzxlEYF0BmNluMB/IPbyefD1lVU8ojyHuaiDVIJXZnXMWsYHjmKaJyx1LLf5hKbpZxbswi2/hv5f7uXGjqiKVCM2pKFlxAMbhvh3twxiGzTSo1QsJ6VLwjO29k0Mx2L2i3vGvbJAVt9pGRQH1FGPzG2I6jKR8X90WI+AdYI/Sx7/9qbOCuYGKwQohqsw3m2zkkWdOcayjmaUP4Dd2l3zAoWOWyAx6n5E9GWJM14T7ZuEbZFn2sPT7b2spjjJEi8aa5A2A7E4loCDUTK8mSkEAysOcaJ2A5lh+POudNHGggPMCU7W5eX4Y3wbR71hFGFa4WXQT4OBfxbMWz76Zg4oQGYH/HnkMnBTMyf2OozqdLS2gYO7RS6TppHB8n7K1xJHWcX3XgKOCWrUeErXU7Vq7Eq3Wb2f9HGEZ9e4vhGWzWh+v9srrhLN+MgCsCJcFlnoTtnNUChgqVy8NnRJea7mLr3bdSxoZK+daMh/9gUcCDxOJk5Zg/W4fPMJt88ZaOzFhCSEY30JrN9Z3psk1DvPFTsxdeDetJoiPsnnbFh81rYw2r4SJVszoaLOLXtdAl+2EhK0d8lOlj9ppOrhf5Ln3AdiOdz8Bjif2XzIn58lHa9jpIpvkxYaZijf4bayfqYaKNSKEN/Hy+HlevRylf4XqrUhu9QKocyD8e+ovIOQ6uqt8TyTLbIYAb6qKqDo1ubC5eTCaeA2MPnwghYeF1u9mYHbm2lqaPtUxC6BYcn/5dqEpjeDWZilWcnaAidd+ZTYrkp+sp+3XmDSwpBhrYMajTL+CXxYJuDbx7Yn4JobbN96P9+LbAr517cc1l8OEobhAL7rt+OPMQZ7fwAqNO5xWnX6A0+ZZXVG+e29hKKBag9+yV1NOwtyFBGpMEoymDorTAbh4/MC+0UgMwqxrhP37Yii8f+sGrzZ9NUrDQqbDjGp33InVzSTr7FWUDuPbAu9LLATBKNeL9zthCp1KlscnvHv6ukFDB2vn//1TJiz+UmOtKJe2+ycB7NMZXw7ZGNUjBwH790XOpPFV53O1fo396OXb7eqycGoEuPPgjGAGBwPI6hFwc2pVeq77atzBdSNhwa/cekEm1dpdwob3cnWhiL4BBgB/GJSLa6qVZAkaGsz3Zqbf9eYiMrl9vI6idex0T/uVqObs99D8uCsFs6xeTS/kX9S/6q73yft5k5E1yn+ArMUfRxSkO1faE74K2YVHOzffwqzliuseouCuOMI8nQYl6y3LTsdEM7CoRkUzUYRx2ohBFyhXzdAIk2cqnZA1AqNjKEUoctdojisUp89wtH4xK4a3SNGjiXxeHMaW1Spe6p/difbuhswTxREUbdoPOuAJj7/xqcUTieOnAp8J6Qu+e2oxykHpnEe2+RPtP3yLGIWvtkCDoFvSL7wv6XgJM/p+KDrrouPOzzK97civPUzdW7l+0NGNnzamkG+RfiTwUPomlzhRHU5ZPOyu6H8oCOy7rv0DMyukjWUU2uOy29tyLiV0NPZkFIku7ME+erhVfz68Eo7Xnfcj7O3L4+iyp4Fb6ZC1E8u13x9Z3cg3bzyJyMFVfk69RfnTdwQBg6e4YB7pbhd+uJSDWDZdL+bz4GjcESP5kcZRDGXBzSDNhQ3hzkRzlz4V2bgiyyCfD05UGz4cp+poLo2nQbI5gyOpB5wIm8cIUACTYxzdcXloQCXJE8SLzcArSied8fZWunmVBjlUeRZ1LWRBirDyF0mRSuweYv5f/IW7IJgbXyHOIL87XootP2SlIEmlM7AMV3q7SVqgXMcsyr1e1+A6BMpCv8KuRNBq3h6JvyaSaTD5A01GJdCm2BTk6v6hwVLII2mJZAPLtac2QmcBw+R5UWrdIfJtlBMPrH6hmseGFixZFCn0y7S7HVUev1+iwBelZDeMYTA+1jt40tU5xnh15jKRqcpbyrxbALDs5dXwJ2v4mAQCnSlI5kKmccZjD5+ezQHBug/fcdfW0S44pMV0xFtx0Df7bvtElM45615w6rwCvU7sUxmpLolB2ooH18yvrfVxeV4nsfyHa6QQTSNGYT7zXh1IqWypK962HFYUif6Mb5a0FoPzROl7lRvG4fxt8fDaJzbTGcedzzlbWG980e6wapFfD0Xg6hdVO8D+eVGko9RWrSRPvwUrY6mlbUr2zXgxc7tUVGQbOnPoqb/AWQmAqbgEQrQpcJHEex1u25XU1xZeHeURfnn7USRED0VgvCgYReX7P7OouwtdqXmA0NWni+oLCcyS20U0CpB7F7k4FCjSq5BN5e6InX82jN4uBKt2Mzr29TNXPSTpKyHoAGrH2vw7auMEq9j8R372UjGYu2GEOTFQR4OnTBx2Tjx2JQzUB/hSeGfxli6hHRkaNJnJLQ0LiT+ovER/PDTXZ2LPwVvUSYNOKM0EoIEnF+K7Q2NWLePws6eyg1opQGAVs1FGJfMqxkBchGLt6Eu6JB4n4zoPw6/PSEV4gOzsuoiet/a78eYQnsd7xn/SUETIROPhWphQdY1u8e4+gVB5eTGX/4xJjIKlmJuZDrLHWiSax0E2ysk94iAWlx/BqkDUevp5YW12e4W5zjeTTrn++VNAIuZ7PTIp0vn3FfgL9fBHOkgnAmBRtohLSjm8OvcytJ2ZTpJpQG7hZAaZQFtagyjtHlOH5myArVaV7EzY+X9J4rbB4p/dW20svtj5TFSJnwBR8SfYv3+A8Q/r/33T9eomdrQIZKuKnyb6XLTeYbEnykT0iviTti7nXhlzSY2DBpQCr7mB/iqzxz9vbaxQefBEZl49rz792Suse7BGDEikZqW5+MeoSvc2XVPgxnMEyErdh0hMqHVhroqLQ+p+Z7ZI0UUqKV28Wue3qChQp38MfETUcvg6yNFurw7f05NhexLkBuErcNecpMrztW0nOzfjBkrEJMQ2WdYl2Pi7TM4pjuL4mJYI+mVkKSob7vyHk9dV5wyHWknPlEy8TJoJBIb7+NkV4B0/1ogEmTkcwh8AnWrf4zaCFVRhfdGaEKjIPUOoZlULrR6oWI71hfXlHCIW70PH0IQeuVp6aYQOYKxjXhPSEV8tqSQvFwbQISGFKMidiejsvGOICybdEUgWc2lH/YdlWEu6iEBPcK/56XxIVuI0prBQTMalxLmXoCWhEYP6UpL18bfobbLl5yfBVGYuQcaMBghHU6DfLVUJTpQ73DvN40IrCi8seq0ERAJWomZjp1a2kePpjHf+4NeeQwhBVg5Rl6VNsBkJHyiBQ4R6GPnLF2LVlQxuhCPO5TFaKx5W1b0koEPUlGqUgs1mqDV7EN/uaeW5tce0vI4b0YWqBjy6Vs0thW6Apx9xhVe/4jkc75ihvQxNmmrG6IDuIoAu/S1/KRvB10pTNoihtPaqV4NcBpwOsOMQIvjfd+DbvivxaIavok4xMFVIf82LMTLdS8csskgQ+fFh2zaza6hN0ukSOiIjOLmcf0yJ2q4DcmohdLRJoUe+f5qVuUHtxlwGZ8mU8GS/M001cxEPO42u50t0Foc+sxp7zfC5Fsovs4m8LPAXEgYw/dAbSZKVUJ311C93nIx6AKX4TfupPA5BOUh7F6oBEcn+VY9XTbv+MGicQ+Gy6zNuLv0pX4RGX+KVMaOsSrNqIvT2ve6k1JHsp9UYE9TM7/8MxoYrUuPy9CUMxJ9fZZJVbSDzyvfr80rv7qLJPtMyHvItbRfOkwh8F5yFLASEq88YJYYDUErnYZW1U8hJSqH3l4XFMJangdI2w9NFa6mbuoTUdQapQN/4Etd8Hnz9jL8cJFs9wdZAk6gh3g+lAT7mVYLOu5Yjl4b6QapEts8Hf4h485IgiktlMqMCHJ7lqVew6hP0yq1HJ7COG2VIrvb1codM4L8/H+WAKoQbinayGIRsR3oyebj5L/xLy9D7Km7Ybz/q5cOjYzlf9J25eBYYvPj4sx/hnob/4XLSFU4dSBmA2SmsMPvT94bvK9yj2LqHfSV5KwGnVbPRu7vfopOc5vamMe/qMu8MfNlFMEM3cYjJCGLNWfYG1Nak8pbWKfpq4C4HD3i30kazJclbScrl4GLeV4lkE8zWf/hm8HKa1DJe4ihA2D7l/7fakQMCcYoq/1apdl16ev0MsstWaqOuke7qnnUap4JST7x089twUn9f9UVHAQl+BROn+I/wxtzF8tPbtDKTKDRameKgOWnS8LBKePuKhscTR1P+I0q0IZUqw7RvyelCzLMqLBLabqViC0uFSfv9H9zwdyhjqhdVWXd+blYU7d8Oq8NZSs+v+xNwziL5AxhmXY2U6KO5cUb0qTstvuWzNaUJ6p+zYTi8GkP+hn2HWnqMog2zMh8D9RuN8Mj02s4O925zSRXKei5IoDfV0zGqEwFgUrmObN0lbSPxMFMA9xwoN5+dr08SmpeAYzeNZjuvMNwnyr9xdQdrWDw1YXod+6V+OLpwm9il1MCYH9kBbC9rBC9ei2YOrWxPX20FcmNAwmQhttCEgQEUuzFqeyWOBKK7W+WtVDOIU0lhD23edf2YUtO0Cg27AIjCEYNCtroG/58WZXZhHq9j8+qk1jj4JXdohKjOxmhjofi9Ql3nUquKE3Vve/RrlJfe69TIubym89e7og0pM0Oy+/16o3AqThPR0ven/RZLtcp3B0OZhN0fvBSPMt31JqML9uVrbc9y0lTISbhZM2iIjim1/Js0dzLZaGN21+vw+heY5Ov31QgErmgj9gyt/ztys5ZLy7iANYMqyJYdkpZdRnJEq9pylioRMhM4mUpon/DXe0md/OSZv/vxhYLbRJZJE7DGLEJO8RpmCBGrvTSD+8zSNufr/hzqmY/p+R4ODUHesMZ0g44JNkkIoaVyI7tATPbdVXVQD2rrAyYN4vS051hyV4uLvdVr4c2HMaebl4zPJYqD4fPpG1a9lrPDVCZjPnHTBhnxtjE6LCeYuAa49XQGVV6op/FtmeDv9vMJlLKegBHzYpHgEE6y4b+ra/dz8tPFkcK3F5jfVNHj8whGjKjDZw0XX5f6SF/qPSYP2Y+yTq9TkmOsT7ZwTrYhQ+XhvXwfrxcwEZc6G7KG2rKchlkJzMt76bmA0qq+LHMX1O9ykNZ/UAO07XYcNwNgEnPHSoqq2wU+VJOZaGQ3Kt/62nBQ/9HQRcQsJHWH56dWGtNJ1sOZubv7U8Cy14XF5s4LfFgmjIek0Q0NX3b2An+4MqAZ93O6Wwf3sf+XEVmJLGQHd6R0jDV26QCrMI9B5OMcOxuOJRNaB9JKhF6YThAEVlTz+d4FNlyPDkc5Kmk/ZHI7dJ2VWbEi6w503RYWmR8wVLxdNSvj62RpcTk6PFoleYbEH64alzAiw0DTqzK63GksBer1O2FwXjxLrRTvRsL4ilVoWlaP2Xb2B6Ix1LQC8dBowDf16BY5DtDmVf3YeexYcdEjzbdyS8cUn0/daUekCaspDzz4N76o49D3XaR7i0xtDys2Nk+qJkp3K1WY/mMgKmR9H+HKfnfPKbEbkqcRu4/nN1JP1zX8NL33jTX4kUqorQr35+38aV6lmCdZEayhwPM3ajBO4J0kjFVnkR11IaRtHFS08+xRqZYx2c8pAU2oI1zR/1a9lSekhhW0f/cvj9mwoDi2XK5nruCw5qbeW25Wn1MSyNWMz4l8Cs9S+wb/vxUGsWpv4Fe+eWtSH+p6fAdtkcncMdt8zu7BW7sCr8Ap5d91fPYE7t1R/bi0Mt5PJJQcF93qxRltLOkjHFBK1BhUAtN1NIy+sQRPa/kePMSZ+X5ZLAomorh6eccuYDK8bRw7BoN4k7Y2Oui+zMarB5scWR9cY2h7tq/TcGGuytWMsZPMWm9B245f+m4wTAH43qs40NMkRueyB7qlJiXU8KMhjxyLns40odfuAed+m989Iw6nY5o90lEaB8fiMfbVxqNHGSDhnLSaIMCFQVX1JDI3GdUzqfKpFKo7IPii5NNraIzjGlKFPuTD7jn94OikFaQwOpODo6JiuUENwyo8iChH1mE872c6ve+Rwp9nZe038CuG8YZ51kDprmq1ImxVyblXDbW0moafh4sSqZE7OSJNVMSD7kM4fitrW6siTB1BrEPswjZHWWqqowzmdeEkd6FrBQz8DznYfGOPmYeMFRNiPzfSPEybCSnYvVNiBm07ilttcHAB47t0hXAhRguoL2JHPxenrHwew8+FssbKjcJYiZiCH3+tTPYzch9GBCbiWZ2zPKLvKTY8mnlHnXG0kuT6vqqP+zyFvAP2HgJFY91Lc/4r9VcFxLA3qUHwuse1XgsEJrnYFTlHvR4GIyXFFUmwodht3rDLDMuGAtKQx9CBLWMOeo2O93h9jQJbFrarYimsbav6QdmFBG191BOtLzJcnLdIsX4RtJXv0BfkCCw7T9g73M8dEv6KlrGj4ik6rnQ2nWL3q3cLV7bSAEZF2Ds+/aoA9SuIMQIamDc3UqoRE/HKK9Ku50Yi1tS+uq+jlUbshliyxr4LPiHwL91t0RucSHvA0fpPLHBXrCPVGIcKQFnZWuJQfhfqHvUygFDbeSN58HEifUNpkbp8hXzSgBJKNlAOfkF8enSrVcO5Fm7z2nFI0tXFMwV4n8no4CGcAGZQeoq9Z40FRSNFx4vxOvVTmYQlRMaUfxoN8qpSUtIldXWFGYamq/s0icJw1/pxqwuRrXMZxcHjSUjG3TbydHR25SDDRe/V2bikyYJVhtLCa9t+myglf+A7DABHhv09iINUJhs4ow4zf6TwNpdX65cMDT8XWvjBzJc7LulGkhXwF7i1IjjpnRkTK2/t4M5/i+JNa8/xnYlOtUoUuD37xZhbTm2CtN51Xp7t2PpeoTFRU43VBpWGUZpmVexVaMtakvrO8hP9NNuxqJFuyxTrV0TYbvB2Run6Sx0yLrDXYQhStj1nbMRPYgrTheDf0KJP40YY+Cs3VyD+BWZC7wi6g0GOxHS32ZQ8WOsM0H/SI6TKYJiUsthlDzZmK/uReeCcFJPGaNcR3ZrXPqVsmxFS5yDBCOdEWkXO02aVIkVnzVahYNpwzyer3PqVwskgJi51FVV1t3XCFkyM/u68qlnI6Uy7N7yyyKykHT0pA5kNudEGq+PTawX+ZpTLa4RsYOoayPEitwu9kjPiqzCFC54kuDRjnr3rIidChITK6hoGYacbm6Q1wG8twRGVNBO1YjB2K7rVJ7Wq8Iv/l1EKFEsR0Vks2yiblXPw/z52kL9CB4+F6LqcrfKXpUc2Q7VcQK/G7UfMGbYdOJ84fWHILRu3fRovDOBfhoSSoOdrUY1XTMiaCNiTb81NN8ZLsxILcSNkyYKTIqg7ALgA38Q1zMxnZReBPD6ONTm5ie4OmFINae9wJ/FJ4Lk1SxnPWm2VcYz6dkdRybtEpeMk/7QhKRLarUSoGWfWIwDzdcwBYLGFYIFjnb2wb4t+x0cX5Xja32lfBxWd9lVMuJUxl+fsGXiM4WmJlhPut3trpW4YA+NsKJWbNjPQMfxsDsgw2fjF0QOMYZQnY3lEe8GSTU/ELZQejTBFasxh2ajI6qYYn3i71r7iPTZZY/7Kqs5ZOr7JdhHWGVwSQrOmFAH0s+nRtb4fnDZxDTbM2VW6ZXpnJCWnkjyRyPotLrEcH1fVoPXeeTS7/JKYnu8j4Ll/zPlikhr4mUH5cJygAlod8TJDqcJs/9PbBIKnUiylaoXBOe3Bj+NGSdNFkoDVA1bLjshSNFNAv6o2kxREQ2RTwNDF3R6y8ZoR/NJWoPANED76yQeaQlR3LxwsXuVoxSNNAbuVn61yjRAwwro8TK4AIsqdc0GVjLUDKREXWxNVBx/8KtI/97uJE5GLe1GNjIlsiV7m22ndX7HnZmxT2HPty2uGJOYoWJ6vX2ENWPSjXytnuR6Qxm1Qm6My/567zSqZKH2i9SemDTKb+zKPed72y6zEmclCcYbHDZXhoO4FYb8olWiwOjndlFV7NWr8hXzJ9AQvzHhsN0GBaMDHZTDdouLVsno+Cd721QEdazXMQt9k6+2TdugUckTV+s1M7PdSDFcteL+1YuT3rga4NsFrU8swxuDpLMhR3sqtAixXkxrasb9xzWdVrIaiW7e0z8pr2t4nvKY3BmeqsRlSkf7qgu7um4vn5RqTe+wxRzSQdya6sAdtNZ8BS+F793a2h/EdeZ2bDqzj/Ccony5y6SqAdEBVdmDtLnVDHQdZv6aZJhefE7hH81vzz5IHUBfKIXpNUStSe9LAWtpGUCi+k4pVYzBKFh0R+0YxhdftHCmd2lPeFuD2oEjPygPIU2KVUsccVrzs9GyBL2K1UoccVrz82w44qt6Tsn2hJa6RWokUb3a70XKdExN92LVEseTxPFUiWN6id84O3qKFziV4dl8KVeEJS0tjJlwRMHS85JJC06ZDt4+ZsOaSFOByKNvVXcPuEmn2ygsO1kVTsjgN+HiVIdkJzHHS/ljLzE6mQx98IJGsYIsBzTFs5HNqMija+4zxN8XTxHdukkslW4yRbDlsSQP83LCnSuqOirPAuEKY5s+nvR0GYdG0yfU2cNi5GPZ8qzJW+JMM4nlcOr8vDOatrXIjqt2amJKW6aGr/XYvmqR6Y3KNX0pw3PrnrBuWQayuqGP1LT8YYJFGPOTh5Gi4fa7wBdBUixYVMy0hN5MabbhQPJMLJp7mUt9Gcm4iKvQR68rnQwuUC8qEbFz+Ah7S51bbI0t7xC4+hJTlayxWjiG4hIflqGbHxWJZ+/ltrS8g//dfeKJv/y0KRqgUdxjIR+G8YsbO9/5DWdigVf5fPFCkVpH9Mh9XT2BYJCuL2jpqMpAsHu6njrWloQyIbNsKybUzcC4MasD7jSXc4o17vMrXPJ3lP38XnfohxN/ty+MfUYF2YSwjos9elPhIiOZq7v2KsfNNYsN4vDeAyTmYw19olxniveC64ilJ3TFN66b7fVl/cb2jZ8jN3RXOW7lcTdepze200i33NsLoUx5yYiR80C8FkvfTAO9gCbbIoukbhHLVM31i7qjs1XWlMSW75fc6Y1lCeKZB5cN8zdtz4lH+R5FMS+/CMk/5KOYgS1npwGGs5yEWatBtnLMlSYf9SGzufxbEhMiHGOhci3e6U197JDpFsUKpAK8Fh+YGPZm4xYyXRpLq8OV2QZxOu+rsZuqAxaa1zE1nbn0irHCWBPB/elQzoc5PYiKZPFceoMfCajfOsrUqFpMszLBCngRZkd5Hdj4Mo7Qnptnl/sCIVKVB6ZQJnXGoH6f+vE2mgib2zvD51+ggX0pA4qDR/9uhiuYq0AyT4WYEebllv9DOYbp+nXzjm6/XMQgrMMdK8iGDzvHslhn3h7umNMWZDwfin5m69L5lsaMFAUMuvfoTJfzbzQHPmUGC75YWr83w2QrOE2XHPMWIY7bx/05S0fiaDQHYADNYudeKYs2uLPqMvvM+DD5nrKx+z/exK3mbYlKTqtJGcoVTQhQ25iuX18CB4cD5Y1mxmpqEooj7wbJ0XP0oYGSmF/VZkn5ycYmJsopB2TFOc9NJtkPr1zrLq3klHO92zOVw2OdAoe7LF9k3kwyIRd3RHIpfE70+kxA3O2RU2hYACMgCMjMQnsexFt2ObrmJzzZv10/ZHoC/xvGAeRl71zNcJB62NnfBuj95lCIA8CY38mzQfxQt1zHh2kL3UvEYwIYc78sbjsd1AabNU3oM3zNuSVpv/avEjYMky7XaYZo3TMhfL2HfG8k+AYU8Ls+z/VKmlWdW/Pgd6IejbSaMKsQpzrxgRekzu3VPsprIOItG4oJyhTPJ4sWKizxMmJLbd5y4qBo3vUInMejiPzR1Wm47Lm1dHMj3kNntsgiYIAQTkn0P5gdDtSskNrwBIIhULftp3YxRPslAqmHVNIiOjjSZ66F3LV4vMXIU2SBqHUxFWAyMGp+HQ0Al37eZzsaK6dmv0oaSOkckpOKvMVgQP6MFM6NGoidOmwAERCSm8sTVWY0fUt7NWK1Oqgk8Y4IYC5Cfl9aqYh3knHO0EEqzRDSuvmPlwNh8WO7JmsWqy2SlnDjmwbrVRULVANjQrDJIV4ZYP7+rT7EVfIn0scduDhNuIwVnC+d23cdlg+F3WTgoHNW4rsLwhH9dJsAgogXiIGwwnj8qPrSThlb1wEzSpMUOxAiH1fl1W0Lute8XJfX/m6qQ0uY85dC/a4DQ6jVXxZnTH4CdAG0R4DAwL/lHbbsCERhAudjh4o9gD31ush1qvhGFPInQVRFV+dwXufNS1PqlqjqP7l7IIjt8C6s9pNTNdDGkeudnlKcXXnDzFXAMMhLY+DF33ker/IFUinv0oN3gxPFssad7YzaQcoe0FC4kbvd/jqoncfGbVeYtNkOMpi9ohRXWaJcTVE+EfByJXU9kORVmhKRgpQbSAgRCxEPzUeFmtON2m7zidHQqtFsFxfdZXQF+Whw7h/VLz0IA/WluOyt+LZK/9Jm0uYoWshwyItShrN4saY0W8xjqEPEx+oxWmlSkAxVnAkalgSBd16hub6CKHvGJ5eJf/Q39JtFp6qokA8HpnCHH03P//So+VIy8lrdDv69yiV7xAH+GvR4DEGSvBhtY5jdaKVoVfHn7CGxBWIQfsI+c6uHQatO4dB80GH+wOXTl1gXInYiFsoVdbm1B2VkJqpRDnzP71O+k7DmtavkHQsoV9snGo7FL/Z4p6VM1V5oV2123yoK9HWb734WlTgAud853GowxS8IzbB6sa0OxKv/bxF/XpLL3Zrn5ySVP6ZsZ7m85omNzvodAxu+6teXbZjvOLBVc0Km+Rd1Zq5wdphNt6oYaobCPI0iMK2/PwH5K1x6sYWo7OYmty36TBimOcMd7TshgEvX1DuFbdv0fqkoFNfeVtrKuNRanNE04xWFQAIbVvnWrmNLk/AWvipk7DFpFdKNbAGQI+E5A4R2CvcKHtmY+5M8PnY5MT/y2/KDW9zEF95aEK1FAFlVc2dqB6liyaK9Igz79jTxPt/+y7Ob5zPH71flU79tVj4nsgFgIwy3F2dEhowbIsCdU4qfJci3O5kmFv3dBHZLmJuX9vanVD0W4/AE5yYsABBwPXDwDIXjaG1bIf9TB/9Dt756PoKUecA7wn7JUvCOiWWb2mE5z0RmeTOLtRUTtL1RZCKe4Za4SiJta5T2DwjKba6hoa3CGK//jMiYEYYW6PaWF4EIyIfFeyPXPJ/UP4jPlP0qbatDx5MtMkv6yrV00swE+tXkGRsmYhIWCNxkpjc52qRHvdSYm7yVuhvR2slux5onDNdI/baHXriVMw2w4TKCJ/B2Vo0dr3f8OtzJ/S0TRLAALzBf0E5uXhto6uyUJ7/08WTLWc4/Ucyzgcb9+Tgoy6lBN4EW3zkZq8JC/5XWW+PlW5NpILg0hV6YZTE7mkb4gGHhl0QagDPUTfqLwPq2a/zu+yrJ1WuLvngbOYN1smHmSN1ufOBkzrceJ1y4AgkK/DfZVOgYofHoWaw/yfrCfQnJIxeeTMZmAriir0+9gJT5iqtBtdob8lIMh/4Mwbq6Xiba7BnwEr//PPNSCFvPV9gbodoxFn4WCudRA4VyJL05ldTgvudAfAFHgrjAj2DPSGCapoFv0WuMLVuZEvOygUE1BkrW8IeByP/myX5yiBt5L5E7S8J65MMVv4cydUZMgTj8jP36NPBfb079inVlOm1rVi5s2m7TEF8qjIuCHQiHN6UvFwtAZ1ro80bdcZIiZoSLTBt/SnuTMWwGCwvkcb+I8LyLGx+Cd2DnHPth6MfF8Qxvf8khAn6u0R7T8TDqh0x6bvhowN6gZ3PgYlcEh93403HKbasydU3pufN0XoJhu95BQrCtQnsRhW5FJb5U3fVwL9JNq4dPXvn4lGXehrPbyqBLGOZf13DgDeNNvCFYFba26NvsNYDJDaIJpy79x7wdOvE3e0F2mTyJTYBbRaEXLoUSSCsl3kcIsHdbIuflTh5Lfi2XWvoiQ5+rQ+lywE8PgGTOcKuM/bqJRg7oIqEibNDaPRjpOUUCiSX7KQAbaCF3Rq9tAxDjcs6NhnFSjUtOwXfY8ofXane7MZmaZSxKyHJMt532toMOEFIBdnn3OSIccEiBcTdH/FGHqinT4zTkHNwg8vS8WaLvDnFwQ9pXvzK8cPbsbqdzJuQp9UDA6rdVHMQWLy7RworPLpTmjkqE3Kh4wUfjglgsysy1nTpwm1aE3z5yC/WaT24n9TyqId8VI7+HOCvMgHmWToVSRC03e+6WKp7e6pckdPU8foFs0oiEH+nvlGcXQdaYzgwH28CZmiLQsjtq/eTPzBLgYLzcYNuaHQEhxURGKgPnVKghosETpMK+CcOIe4FmHxuXgpEmCvxfEkNDhbWIQfXFcA6MvUaXuFBbmbgpKA9lY1W/FG91ld8ch2DgqFCUI4/q7VPK4aW6auirclvcLWz2/i18M9f0xs2nqCdrwldIGSywj9SmYYDIZpwvOpMB9wuTxkUC02N5tRKfK685DVzGfZ/1dS+tJxWEbKzMSD5zdjTwbRs/yhppWYE9cL9aitxFCOhtyW4/9D2ecvYM0bNc0Wx4LT3vcoL4h7sozjnupPu69JTedhuzjGZRidCRmR0JC1fvKVJGPlo0/SzanC59xPMTjpyDy9YjDT/PytvfCmUB4V2G1J7lfn43vOe2QUBeHwUqswu7eCncW2f/dMVWZSn8CUUBFB/rjQgz1HHbbjiHQRviwud9SU/lra+4pupCRrlbGix45dbAAB56ISstcrYFcAVu72aya1iiZi9JOw+bIVLhzyoUcAl1KAWdljWwZJu0J2+LB27cfRL6A8DRT74BPFu+3kG3U9fLWhvHi2+lHVm1bShg29R5uUwKjF9H3uGB9QDVUTeMFXsKYs3A9KhNm5c4zeI7kPiMEQDlRvawmAsLaRSv0QDb4QpDJ+E7FUXc0R+VirxdBq9n7Vc3P6xIZnmyVm6JLZBtSc+sCT1gZJLolT4VcKWBgUq+YNKDmG66GpeJiiXDGtUbZFdXBSCEhB3FdCFky6r4RmbkUxckGa+BzKY3VJrlkUfpUM8DlG3sGVBA0Tp7VVWEaKgo9N7gisZTkO0D9IiA7+XaoZzzuZFnr5kDIAJqSYVLr7nLv6J/b3ck79oQFwuQoBrnAM7R+DP4y3EboJCtIjvi9+qS8RmJrhwRZsJGCOcI4TMJUGVjh0ewASCuRe/ATdCJwv7RR6F6UbbeoMQ8hlpvlGVb4hznvS9PA34rxXzYEG+NNAOf3GA2jbLdJtvMJ29IGagSVh+dovQslUMkV3CoUKoAAPh89uhMLl/gioI297n/GnweInqJ9iHXX6qBTnironlXQ5lCDunFtpLDcEVJNmQhS7TKF8IrsOrjl5eTPbJK7OE0at/o2lsULyS6JWLUvlo1WTnCmQFZ1xOGuQlyRn9jYXk8WnJJSDfi/Blzc4QRzYm6BRAAAaGVWishQ9VTKYCAJ77RbF8IYifDmoAh3sOQEBzYTp+gfUeUZBcwuRyJ8vTZa4HDREAkLrJL0wdn5sgenFfuOKydVUicr+pikytyXfD8W9jLGMH7C+44nAoz70NZ7qLTv2muqxlB99GlXz0ZuLp2Svl8TnLQoKiE04ZPfCmJh71DnGdGL48R7tbcRC87UgYUawLMM3suj3gL+TO3C3vXcPB7i5Ud+W3ufnuKXm3xfluzAzuyQzuO7PZ8f760YR7bs4dklLf/+7/EnUUvbSgxgolOqQoH71O9l58nlYTqL3ITrJCKG/v8y7b1Y5TJ7O2Z2N/E5dZfrQo7vCPMYsb3+pd+7oCFwBWpiCyBVFb1JsKM7iamxwV5o9evJd8FGkiHuGiLSD5PACifQ280ilMgLqsZPdtJxs61deGIcDTmu+Db4m67uGU+bRbYrTVSVl3USX7WClgs+26wVlnVM8+ICympGJn6RDQOr7sc6mIhaI1Fk1MBIyhZjJh8gAicd9vTy3axM5r8MfU+dPkjWZgew8dMBh/dFLwct25E38HWcrmi5gcs7veXaTVgnqExPfI6WfCB+e9vvr8UjRwFKsM1wty2GzZzQ82CFKGm4qiiuqipuYyf+20YJhe9de1ed8NvSlgTT13RhMfEmifxtzX517A1wvez3fTMdf1VcT6uqPBSD9rrPuZJr+T/dEgpX5qvu2eNTUN2dWy7bmhBhF1A1Re3nd5Y1ynh0A24tX2TFpco2VWdW1eWUg9wSs/PGh9pXa1sHtTrMvKjEBdzMi7eLmoo6ZFAxKCUPlgblOZn42qU3K9VgcuveWK7S69fznabEmvV2r7h/U4LOImp3Rtd0Dt3oKpKp4/FuqqSDBFwnoCInH/fsFsyju3kOorCaNtII3rMwSyl6Myde75+I3IuwxmKz1LdAnN+t/mFY2t58Yb5ZSNlCkAIf01FHgABEXBIqWX5U+wum3/K7/Oxw9AZoUmOj788cMpB10+VfEzhKNWMoF6MPOOqZiDixbX3Suqjn7ro+ADDXRP5b9LAFk9bGH9Kea+xuhrfDW49iYle/wGe9jTRe6iY1wDjX+AsJlZdXJO4O53oqfkriyf5Mu0CzDPSod5ez4UgKRyR86N8eEW4OUT+0EYRQW5+dXkhi8OWtJ7n/vTvaxivwUq7FjAO0eSSaDS2XtTB8P8mFtXm5p+JqDKcLT4tQSUCPryqvR3OGnd/7pCKapMjdb/FN1B1EGZfRFmqqnpnKEhI2tR7FtFYm6llP3QM2kox3PRS2Zw5DQ1P8tN+/+jxQoorfF80FgP+iTQYC3wtp+dZu/1sgSGzoKCm4RPXAT2Ix6cZ1tlsoJe77pW+LzsezgG5R8b2qlF54H43935eLImdTl5dv4dqXejbIyHMQD/bdMgac/gAj6avA4nar5KXyOOZlM4CazKEB32n61VdHfegLjtBGLzqAnAAW/aAs/D7abBZ1bKxgll6CrVno7pZ3zftiFDveOGqyWgsNQfecq5GS2u1UFWjrJ/lgyxZnBdWtIjrsbDkddGiNDXjxvNi6AltycHoYQ45eeBe1+9gbv1wPRvJGo4O0vz6dvwxUEIhne6obdM2wNdIOsAfcfMcua5JDvm8RTrRq3JTW7baaqvrnwW82jj+jTdfSQUOHe4CTTlFb//RDnRiZratbPW1bj6VATyZb91bx72fXpswoGlw+acy24i+FY+tP3gGmyfDCt/qFDKs1JFvotEIV38AxfLSQ31832yP1FzfZPvbW6ulX9UL+jHz/r8T7qWtrAs+W+Z1DPpDiQ7eYGwbbJDvxrOwyMgqpI71+mxKblSNpvbLbhGTLOsm+WngJm2TaNN0y6rL+rJz26McK+7owh+XOV1ayghUN/bORNu4gfSV9vBfdUFXK8qkVXTAVu381TKT7sMhL2Ru6Mkt3afSF4RKXnaKQfHi5ihKVAfeqEi31xpuXNhfGXgm5ze2RtBzqqnWV9vllHjal+9b287yTaESy2wSnVQA5MuQwiUNVbJSRY6jngDVlby7YiNStx1ytY62xBS1WHGpBo1ZTKCpt+sc05HJVkzni+ODYm3zjBRq+2jCxsYOoFOU58yBSxwSx8CbtJdxb5mxYvV8EUcHNiy0iZVHGCInHI71pPByDFjbCiDHAIrfYF/PZOQ+9+U61Gq4B3uvZObhtIJAfNcui9LgevpbNSw/NLu6kKMu3sbZNRJrrvIpIqLM5wRDoTPLBiPXSKeWiN0Pa103dL1CBs/wAJj41z/PJext8H6m5hg+hh+1LrCO4ist/Y7wp2/UVWjDS2Vn+2LQrZ3h58l9nP3+ncMjr+vqt8g+m9eQdH9x2vpT25DePuzdut7ZOX85mqkseYruRkRym5P8QuW3z3zl4FEo+LHEHNRjDyYLUoaA0GYKBZ/wsJj3EJwot3Vn441qbQkCF5mdDpKOaL2vTnwfro9HeSuuXW410dXE+/5iIEhvEyLjgtk3hc/zbrtOHyieVL+Ly7zQHYe2IGbnvmtkXNzyH9WOl23QuDbvVC7Szo29veBfGBT4CMpePIP7lgv/uZDdk5bKIJji2XwNrRt4at04JEGk0XZ/cal/g58RBKRJmJ2aE5IqLg5hdm8+Vv6l2cWH2PcqTpZFMLy7PFj/MKs0y50TBWjbxUmh2mniYNy+y6YF011U2Pq3GR203u8zFR15xC40DVhtJCFcphBhXNVw+QCX62sbFx+sufEYjZ2WufRC7DlilP3lWNrjF9l1hnSJP1uMY86svs9Hea8FJ5jDlK9wNjwUtf+1mFcb2vwOOHZlUwCNHtxuvbhGbJ5y7EEh3p06T4e018ZaLuiJNRAMal4tEyqYtt6BAv0xyj/6ma0BIY//QVbWX6jap8eYNLvsO8mrnAgWTviAh7RxSC5NXtxX2qU6N7sL+VpOFO6SYjs6xKOA5/FdUxNvCPCdfGByr90bfmbdexIGstzmrnu7l+uaU4kg4Zl/RT5zi2kbaLlVJS2Ztt2gLjwJNW/hNgLTfTfLlYwHhtHghWs4Jw0lbqVZTR2jdjDcWwBt4gTQQImprHy/9B9WCydePZr4sf0Qf3Sk50WCvufIX3mLIKX7FL9gagzgwSNiuGLgNQFtfuGZWaIVH2gscjA6ulebnE6bu+p7bBrTqrERd0F54zyfL33h5NQ25cfo+lgdADbA6YVa3UWB2Q45EVvYM76G+ZWfDagecRkT4DDnN6vlhDmtO+uMe2nUcjrj8XKhj8tvzHNUgwFbErlc5CL2gM1xv9ubBxuDEg3FaiUBjPDG6J9keu4yeOO27zBDEqhMQgQEcFVsl09fK/NegjnHCmK0e8y0lp8N+iDarTCcUsWsFMPFMTGKYiHjZw+qBr+qmf0Jemx4J3p6E7kAVy6LywvdkkIRzCjvbf3qVmXijgKQzbAq1fDX0V10mXwuRgauE5SPX5irtV/ef8M4CpTib8s8IAedUuM2vFp/9RQd7ODsdPotf60LrD/fnQWk/i3jGpgdKHg0sl17TjKp2vbbxXWe0Av6asP5VCAEtw8C9YbxBQ/EW+ZOnIt76JX4Wu3HTAWcFtjC03vPkSp9QGc7w5qgnC8CGQMUtCEXtLrZwnLM8nZiSWg5yFE/ioY3BP6wNzqlXOfAgbxxz7/EMyd0WkW3HY+88nqW8x3f2n+FtDQ4ok1c0aAIHKT0/u/Hk3/T227EbVVu22Di/HGldQlptBr99LJsmDUh+PIO2QaUrKuOkZrXu5VZPGeNWfOjM4JLUFDxAQ6K53rJSvUyuqpQ0HsCF74MRS46iOa83VzyVcvsI5w8X0rQzeJ241O0xq0C0WuJey15c7TX3J1tla+ucrtlexKMk2rpUbdAt1auI8d30+nL8QvNFQVtooBCUEHuhBa4aSyIAJ8rR0F3V6E228vzhLtZVWswnxW7d4toH9T9AZD0dgPEdwOE40EZe8o5DdmBwu/H6Eb9zVp+avO8NWm/JRMTADq8PyIcu29XIkCb2xcyBKCmd2AvN+ivjS4uvhtHBybpouZvXuTfnZu6j8ZNHcosZ/uDgbvoCzh1rXflLTkqNbisuRfN6rBWz1WdC6VwuInsTSr7B60aiGeeELD496vZOZ8Zl2wviw1Jdu3ItrmUbfkAhajdRioTOWlWczofjyqztPqxWGIeob2+t0+TaA0QYwgqtSlmlX9emWYE0e879RXU1Yh6jOXX2bzeCdd9d7QvA/kGyT5JtNDpgzC8Ch/rZU0n6MAsVpKf+WVZGYLpqhWl1avIJPBZPApgt2cbWXk4VQ0EtmH7M+zAftRROy/vmrkYdR2SqmNd5PjdTrLcpLIlzgIsxXhpgecJxfV9xDsh/3SwRJxDv9rTNXepbQWLHIG6t7WtD5xI+YowhPZi+vkpnb1Jedkr7WkL1jaguKw1lGlGvl0ZYnGKvL4FvdXGjeUXzt0rd1/fTXqLw7g1gWV8vyXZE8SFC5yg++2/EAInFoG19H4fL67iLYCB4/lBB9ILUZGcHmLpu/FhFEUmvwhMEK4p3094P8cuXBKLwXP8IAaY5PSB3P6S7y6YVsYx6MLhpKrdmp2nM7fN7wqHR9kmICPGm4BnLnqri4FbByLpt9HOUHJpLiykGrzwQZsoeSRoSPrug+rWLLjZJliAWSqGEyPVmGjSAJszV+YJqIyrRQxMmNJg6r5pLht+56hKj0VNifOCgYvaqUnILM/LTsEncQqNpqzC6oCZhxGOsgpDmtDNxTL1u9OKDkMRKtPJQFJF9HPQsup90mZ79nbtPbi95u/ui39/gYG8xfvICRuJMspy0CfkFwYVg3YB0WCkcLPW091qbt76B2aC4t07z1cDOUKGgrZsYLkkRyvI6/ZjybD73dJLmQC/nSLiQw56NJSDb5BtrMhWqqz3EFMf6nOfgDt14t02oTicfeHozf7M8VMUT4HA29Fye4MMpg0EcmwBb3LjtjfNw0PVbtk0l5s9bH+r5gz6/1p7YjINfvR/eEuX4qk5Zi/OZzavenOBy5+TIEYcojd856oAr7Q4UEp3jvbntsNKP7xEtEtRJoiNEY/r243AiKSwUotABSjYeSJm4Xaam76AI7Vx6Lmif/K5Q2tUr+ZRwF7SP4zremICe3KmxaWmYwhcB9947gUtCiACzHNFjJN7j36VRyNB6OqwTT2CcbUwhAjBSuUYioRaeQDm2TLeWk1+GngcVc5GYaXl9fpp4X85V2laqdIOqoR9SGmcc8vbcdHibct7MvbpbrlA/6nCY1DUymAC0KEFCKvp2H6a9TJtMa0+CefRXN91osuqRRt5gVM2suxLTqDLmYFnIjaE0PAItKhUJiAKQgvo3sHTit23I4s5U8pEjProekZnniFibXhziqUaj4qUqOjrNw1cEanAgcf6x/CweKat7s9OdXf9YRUxI9XXFgflreJPFlEzNbHqfPnu7+xNIFQTmupRvbx4tP395s2X7vcXVgowDZW2dV6LqyClLXfR9UqkSwc21He6WsrevVnvKMcrb93V/EI6vg3boQT2KlQHzPzYGGaIZlS2busYwwyEDOOrXZGAhdcwOIv3WaexIXbKkUfsIv6GT3glsJ61bVCMSLtaI2OHa85emTx/5eIqqyqNMIv3RptirkVF++qW5hiBTh/cW/Icnk7WZpzpcN1y2BqgYhRQVx2DwjFnWnb5QlshdNQaIAk12JiCK2kzbRqKsoYqQM9XjkDuVkZXMLQcfkhMTCrMAsEpa8pb8Xt3XuuOnU6UMtlGphWYziIho/9j5Gsz90hoK6/MwwnBgLjZYenBWm8jEKIRP/979bQ0hOE9eMrqq3T83YhdIr0lThOzt2itZsrKCwDQmVajmAysFRO7cdRkojOISmV4EwYGGwI4YuUPAKwacu59StIzlfxQT/IwwZI19+xqFTwtyiSKQPDYHHEoq1cyNPg+AmOk14FAd7uNUzcsgfLbaDP9gU7pnVOPGm3hEqGP/fHy6baYZ9GCzA5MzPsylUvHc2Q0jpLCtQVbhDiQsLQ9bdG7vFMFsYj/3KbeBWRrJ2ME9b1kQk1MIR1duSJURuMweDUzU2kFe9+WYHjL0y3GR4fKqPOQ3IQu5GUY7QYLqJfSg1V6wfDcxemNjUqaYesEUF8keeVK/Jn/n+GEzlfkKWiimg1DxdVHmthDXL33bTu+RDWdGX8ocqCsuc6XObT1+QYcve5D8SSC6yakd9rw7ijDMNGzoCB0FmPJAtsAubHlTzR9nDeb7LynYsZb+omOHpNZgwp3WgISZfq7DTs72XEmR0MuC35gcyppYr+ZyfeNfchKuclCRE/3vYrUKfXYKTnFE2J7YtARMoBauLdwenO/ENfsIC492GxjKzXYhePUAwfPhic21LC6jvZ+54PMnkz+1bKbSkSF73JO8Xu8L/RxZNYWxsRlWUyNVJdjLGxeWLVIasju3VAQlyTGG1mdDRpZGMXe56S+72mT+ST9CfXTxjeH/7kPssvPyLkCSjj35ETxyWeLbqVy//etjjm/4Lo3s5P8alMnfbCvr1tGJdfB0sbE/+5QqGoo0Gb34C6tSjmXCy4Ov7KuZHKqrGtBs9VzyiC1JmxE8uuJy2rETvgDfspvt6hKqvJxo67DFAuNZnkNQEoiMrYn6vEqeHcLpwruzZunVXfk1GQ+ypRs0MjTTYoVZ8+rstciartBV6djUOfEA2Q5auVQ6paPzG8g6Y3KwhyZcJPtpFEwfcleNq1SEEEx5JSVBaCZAIx1/BwSp4q3zjSH52jD+ksl2EskLkyDKPEHtqEU3IS3JrgEytNUplc5QkiaZsaHKQN5vXqCwfYSSpxRG3Kn4yWsh9bqyHJoVycM3w/tQigqyJeHTwGKKxuBQOubDukfA8UxK/2TA3lG3W0BW52QAZ0w4MNahP3ujEtV/KH2azbvakgRzrwFT+/nhg6uXLZq4u2SNbJKdF57p79faA1jHx9s1P9+eU2F+/MmiYkrHgoEG5n3k+tJiu4J0IPRurGIbHNAGmQQ3ffBSso4+rgolxOCh2WU8pyIU6s1TazG5sKTCqqvxRPEU18xG/LQUeQsWyMPEynQPSfFJMfF2AJ3towXVUq5Uq6U8zn3CunKt+ASYC9E76wyrQsGPb6fZihmL5sQQ6GNz2Nq/71yc+/GyuoGkZ6GRv3jG1L+/slSXMXB3PWSp5SCojCM9OBiWWYadLN8izLgLdQ6ahQxVVqSWcmMSY8iIgRugRhf9bQAwzyFFQlM5SASrzGVKObOOZP1ek1bvVspb14DzGlKag01etnp9V5MUpO8uEcojrSoKWa6TV79jC6+ANA00HAX/+BF/RycK2MXhj9t6gw/fvypQhqQbS4cAEReyWqA9pmnJPKOnl0nHYtfGbMFOxaxwgjCu+turCe1+nwve+h1ZgYZIfxmX7vROMc6zZ6ZeG3VgGRpiV+wlOT35YefU3pPx8MgzkUdTua3oKsc7tysAFB81d3BpPS++Ao5/sCxbkTuzuuxC4q12pAqxRs8oyqL2Q+S8XDOg3yw2SfT2DYxGzOlX6r7VZrGy7OTcgn44fBJ8D7U61b5vBufMkpWdYflqWsI3iabPkOJKok575f/JVo7ME9JRRqQzSEU52+mfhPQDXlHtKpBjQiP54Rwjhp4QprLxKxfwLm+cnXQ9Ql5ROAPY+QOF7QvzyA0E8IWYOLwmfz/2OqfirYTjaxtpGxRZcPYKVz3qlHlkkM+mrDd7SgLrcAomghisTysmsx5yvW8DXQvzi7WNhKDyfJm0x6urdXegKZ/xZu57jWf7mmd+KzcCl7W0ayeCx9hZ0v0HPBcTAbPhrIL7nLUpPZJre2QTfeWqpU2Sq1F2erqVU++KO0hTocNWbZitBjKeMobbG3IMqSbjSoZHPoo4/rjtLu7yl8T9BzSEOw/A/aq6f4NeKR+LlLhxEPTgNm+84DW5drmbOOAUA2iXT8+lBqHZXfvxweZSNxy/8KbJ85LhjtZLitte08FYYmb0wYHY2CPyddvDu95OaINBb9As1guup/yoMD0jldhWR3pmN7+WJ0fvGsRvQ1HcDm5TTOke4/1cm9nHJRHCajyy3UqKfiKaguYZt4wIzlIBhFzkYBzye6+WkQPfSFNWMDYaQ7R8wz+Hao2d2u7XbxvQ74iOLptfPVjkTiXlqBmqgI46SeTu9cS0v68vq2iKfIT9YuyeOAPgsr6gqDBJvCqpk2OE0GpPWnXLkeNchx6SAOK9CTgjqVVcxMZxTdZ4+avt72zUSp5mK3B97yJAwhacw5wzk1S44abSbAB2FTRQEyb9sSl5LM8+iDs9mV7tmSPI6UTAHf0alPjXtK584e3aiIRU72Camcb6/4Tmse4V4YNxYMD5o5Em56km9EQiCBzsDiXzSIXWuOQdNPd9YnooisulmxNKM76qBxocK3Kmtv0rW6Z3OQ9d3h+PDiMr4Hd2Ibh/bItB7Z2VU5JwPCb4eLByhABMyYqmPPQanlJrk1Zh2bcjDcKiYIca85dzebhyP/KSNiDhv1EupZvg/7TRC87oSpAjmn789jRkM3ZNaViqvEjGPu8SSF+wRrFQ3tBgIETJrcClHn8i10s9maKzSdCOLF1pFa5dvXgp3blbUEfaYrW7j34eRNjwxypVqxdPvjJSThzjfLeoDVwC2mNL7bkxB+C07Y3T9gHFiRJFDuM+4+PBMGigJ/Xk7U3OWpdV+pCucHbXkn4+L86lCHzHp+Mm3nUfvFNAb4S6PA2lmcMn4G9SBzECzS6rYGemNrKpWyjSVeRNNrbGU2H2cBEJyPQcMeo13sEPA6lTr5+m2Dtz4HR509uH4JCAPc0f8uphGSv9DXnki+Mh2TyAZR/tvRzUAYAMYq3G3vLlDgtaLfbxhqhEGhcXq1mdVaN7bfprVJwdhoW2V7iAZgUU3yX8ndxaG55V9A1sZr0I0ZZQiENveUoDDHAJ3U4KBl6opDs4mdc9NJRq8ZUxGbniQvuOLhTAbY4IJPeBYeXGXnys5lb9urlwyRAJGSm72G/ECEStH7tQOToZ7ocdkKzbP1zW2RX2akcZbfY4/JPq9sLaPU5kS/fNynPn0wvVwujArFTCA9MP6sTy0fjsm0OstIWrkGUCbWnrvpSMtADeLN7ASJAsC/a6kUidWWTG7Oec7sUI0HqBgXujwt2CQqszocA0NT1/cKAMBpW/aHK1yaq9DeXnR5diiENp5MzAoMLUQejemf80GA0II9h/cKLrbkoNUM0i0+4dNSfmsdEzoEhTO0hufCmODRmFVOvsFBBEGInM2vUnRQ4eOWKVTEzGJyOv5s0wKInb8D6L+Ul1JXlrXBe+Ypj57ICRIUAye6YAY1+cZvZYlekoGWoYc8ZhCiwcidnS08YCXtIROh0l4M5Vmw9Au9JjAtZl20gAUlX9lXL4cGn3tXCOVkW3EmlCQxBi3UcmFlgaxhCP3zFba2NBiOip443ZwdWgJFNPWpe5rt1/83rmgpWQ63xIGCZLF+7QV8bIZtkA7EZ7P2oVq9EQ+flP7PHE7CBRwA3TEnUMqhIX2a6XXopNngsM0nsKHc5MyNBhA1z3A3tSImIYQZzC5+6klpJkFnBKSdGGAyvuw8SiXZDeiO1+SxH1yvmBOrYpNoetkn4DlGYQHesaeaOJw2LulzfWeUiSIDNwkI5S7rT5cvmoVJhEuIAgvHTe4XZ672XdLnQiRCsn1CeZDd3upfVYsASI0FVvkbOyIalK00AR8LRT9fVwnXzlnM6oIVZLaAhkPrkalNSGRWJj8dc/XSbcvqr0iAaq4/jq5HSv+qfNg0Nrk4tV3uUKY+GMdQoVpDVKz2YdfyZW4Ft0rtn/wmeudXECjiFmUj91ht5YSi5j6vJnAsuB2cROKei85MXWYsXKQ3zsN6GXmeRGYJhKVqd0kZpxVn8QMD8KtX2kSe4lIK1OmNE0disky8AceRgsds1rn7uiT4E65Q9b77zSMEaR4M96qeON2yYwNHzwSNzaBInwVxWl3TplyGQ4q3QZU8eAVSz+BD1qF9Hszgr/FVTnx7AZ6uZVrzHdMgBzgFUO36Ls3eQlFJk20KkPZWX+G1G926wYZMuTetN7E86ZKNud8/FNzQrEWA9662RNOplBCXoRlQcs820+4EAPNTYRsm1ei9H8dOtcYuurPUza8cMOhtolFXWuk1Ub6SgKFUn/ldOLkp6dRZ4R8KLzSUtqRm0af4JQYirrSn4cKmsck4ESNYHqRbGzrvdnYiGNQhCFOsg1FugnhzdHMTILuo9CStY9RlcndC7yL9Zn+ZQjwtRR1qA5+YfdMHxeMqW4fyJgVMfwQSz5FiVDWl4P20ryfKXySnjdbRaxnF4EFnJmhef5GKQoOMCZ5MPxLyDVLCWKuwxMS4GwiXct9yIU1/MTmXu/o3dNfQIsGGmFbls/TQQ4gB8d+vuDkQIZOFxw1c6ECNBvt11/w4kHF1ZPr9Pr5dfcI53XlU9Kgrij9+vU92ykcI6O4n3dI29Sayk18f0e2SbA9UnNXiYinu77pem8yqREhRh2CN2nVarQcC9hctRzvwq0aNcM5z9dWkQ/3UN+qR34dEnHHMSBZTEaQNKDMtdlEl0MY+Ciu0q9SAN7UIQsDjcj5+5OEJNbPENRN/anRhWrDU3tqTmGlguep55hsltz0UfX3KxmIE4o4SiCGYd6KFY4ARiZylIaj77dD3dEG/wojmkf9p/hFg+7SpuJNqXUlm95jdfQI9XghC7Fn5xRS/17I9IdNfqiR5GInYhRIxOIYgRVawsaXBoGrUYSW56lauHbXOKaTfPBrxP+gQC/gmf+Mk3CnG0nEJtN72oO18oELG8e7aw/GG7wOp4d3S3SZW56X19Ft2KfgGrXKo8dTUM9RpRt25fbAJM8ugV+MT0RNKk02toa1ycSC9D9mbLOU817Uu9o+kny8mqUap3rDHZ1PjhwD9zshN8ufbEY/2gLZm+hXoSi5Ku1n9o9R6o4FHvw/DDsC+rzxa28KqdQEmcOHJh4UVbYGnacRvZgo24+PqsWTcoOzhGjSuGnb5W1DGoe6URwA23thdtdnbfnoCkyBqT7VFx6W2xZyg1F1YoB2da9zvyKGz9tVU+0akWm300i0dwIS7dq3EiG7eLhFOIZey2m86FLd/UbqDYDhmKOeJX3V+IlCvw7X1QCJDZrbfJIWClo/YkRXbQq9mHNuH7LeRBrkVv3fEtYBJuRhTot16ZMknq56iRF6JtzL8cJTzojD5GJDhN+jbPLf9eOJMXwcDAhaHIPPJcC2RpjEGuxLFsmMAkQLKZx/fHzRm0LThCFHuDkdPX+hWc0EisL0Ro9scRmA1apzOfo5FhXvhoizqxs8OK5Y8PvZ7kLv4j3zIzz6inP33NEbHygYKZZr+qKnjJSVoBpZGo1BNTDkHWds3kU1MEIlRrYUW2VDje+iwyE6AFu8ThzfJuZdxZcVKHi9IvMPztaSBOx1EbKH1/ArQo+9ivDaGHsafP7DiYuInIh13vGXJlGAans1Beo8pilWOfKCIR+5CvHp1m4zqlx+m0DEGiYX1wQaswShxJqgsu5GZXd5ogUC04X0IK5m1tFMeUxqi1FM+Glb4ulAeGA2QJrAWbzFvudFkcI32ByA2uLv7NeyQNDsVV7NQy1SnL4F+6HzomqvZRDDcjkFU+u8hgw0zsKWcHX9r0BHexG2RhlAhwAL7bdZwGQgRLr2omOGgdNf2ZXbZPVuruviBBPoS25QW7BNXwVjX5tQw0wB0MMskWZZOoRMd+V+SaUnF0O0ElXRPNLbhskK3/kXxhRZ8jx0ZgM5DCDMFwlCWUBvm2wSplgCJo3s+4yuxQRIxO3vFXnvAMQTLV0OqKdSDZC3YJduzxbp5sNhQVS6GQOIC16wcCRJx8tTVlfh6Lo0WIZE/8t2TJNy325NXN7EESodi4UvVhpDVY5cEgRrNf/Yl1Jh1Y3pl1ImzhksBN4/FGLlTUjv566/EH4IxCvDfoD1ys/9Nzh35h2OF09ksfCofhVYECLuiaJgeBUPUv9BqXCrg4w/RXIQdQ2igXXhf7PQs8Boac8rkjl+JIE2LD+Bc/hoKQDkQ4gMANe4jDfSBGsDZKvTJlt4wjdqxN6F1akXxWN5LyYcfZ3hOt3vdBbgkpBompm3fPVK8RfFXF1SkslHiGem8q7YX7Yj1BmQHmj6Hw2Kzszl6xvi8OkAAHsHRCFV0dRqo9REIEq7l+q9fnvxXOUbir1nCJkOyz62qkszvYvUKh7Cdi9riQzEtVRkjDCYX4bgC1GGfXm1esyVYvRPHxM1CuZy2ZYjZOcdCGQCLSsxCNZwzc8aXMPBLACRSW5Z/N5+x5iBp5BVpVwcjbHgQRNlsCrFYL5t2Pg1rdyjLGMcPH4bXjr7aXqUMKPBMCI4FgR4L6fhBJbGbW9A2JJJKlCLn81CQxtOlFSIHi9ejVYVCfdEvxZbvSik72tD6hYKi1ewqFx4X4jWNhsHQCHAIMm8qrRkCeU7cmFGsQhHDxOj03p8J6Wm5+6SH0qhxDY7Yg1qTSPTAo0wxBbCFSyi9CQjX/IMDAzWWQSc1nQrg4wWRzHPQKZoiuPFbaCYmTWpf6JYOuNQs2wIix2dVYvbMaX1MayFY0z+5G3Z5fb6uchILgsI5ulRMRCvbgNOvIgogddOWBjlJvdMrZBeeViwIBMtVqbb7RBg6boVxGEKJ4pZUdQCbZjwptVSJ0IjRbmKhT6erExStMQ57Ofz86HHZJjoDEwPmfzQFYFodkFotwqbwFKTny7EnDz4bsMuC5qMBYqdb6kXu34mnBYacqSt864UrqjnEpbUMl9RiFonvH+yfsFfmLH3YHPM01cTURUx372f+OYq+3C0RQtjs9PHhFdPMskghq585eLXl+G55PmE0ns9QA41M3KRy/tr+xlrHxewm+O9ENyh/jIqJbBElHxxqcIyod9veEEXO20u1ueJxfLCMP6xeJWL0VSJhjz2WlwHSPPBSgJy2cKLxG75mq66Yp7DFLxRTlHDRf5LqLME4xGvDLzvIs/Vp8XEkq46MMCsvDP1fyCFXBrGE7n1vq5EtqxlgVF0HG5CJwIMBOrtAkbih1p0XaThfyRf8n+DP7NAqjfADXYGiaH6H2czhHT4Kd0jZGlaI4LZhR547tAsCSwWG9V6O3Z/RcXq8ECNDVprK3ESUTtmOEjkp49p0DbWNf4MojwUexs6lfr3d5JhKjYTfx/fwgi8vm94lPMt56FMNYkMDAnWyz76lDpsk8zgDJwQnMenVDn0RgUpknlYuuFs6tqQtbPnZZQj1QLZ9S+P9oOKmo7LKFSmgejMhSYVc+A8jgpFgs9zkwgyUAxCEObXIWKiMjBIFQTvrVhridJ0X6JgIS4NqnKsoIQSA+0kgoZvtJBCywG+iwYayg4sarGIXDHdbl9Zt4CNTVlZgNJnnl4+CO8xFYD7vHnR/72TSuDsWKYp1t/eoeeqZKmRXHdxVRADJCMChWqC/ydyV5laN5Uy8MdqgqRJ8eyaC5rWGr7cw2X6zg+sr8nB7wXkcAqT9Q92Bvl7wok1Y8wEzxv+P7yynw4/BrJDscjOJ8dsN/J6a2wuUISi24nMMywqTnI8whNTgfox5debcNDr2EAYCYg6mBE6pbS+SDuDBcpb7Z/uLiseodn1tfM7SQraI9gyEoeSuWRSICm55c0ytXOSiKFvTqEq/Qnd1Gw9bZBzd1jHcoFo+wk43BwXAPvDzpHQQyCmRmN+NjhVD+rAqFZzQgnUjwZ5xAoiW9soATpOFv2EAl4tGoMbAHO1Z8nu45jYdAGRHHamVUsU1Pb2zBddjSLJeWRcYGMlwcprt0X/lXZ56LYQMQ1ASXd5P3b599aqLsoRJiQcu9J7hfZND3RoQNI5fmK7KUGIe9Di3TkwXxYvzrloMgWWQqzbuvB486fNLSYJKgUruLm2fBgdErEyA5sKiSiwdepExpb3Q5xWIpv5MHs3dCt7/0OYltb/tBf6mAe4oN0Zse8IV4jBTF3NBpVwUlkxJix1sfCNiFoo1KnBcuxNRwOtsCpGS32ZcMkBCbrYke9gvMeFdiJvanuWkrkWV2aTEQI7l65P2GAZJFAeX+wUxe7aOUlF0m9hUq7pSzvuiFzZBly2+oULxoFNUP46iHvomoFjUP2mPDWOCHA9jwnZ7GEgMEC3t5OC9XwhlreCiwstdfsLYVgv354ZUTjTvksQzyQkENFW0H2RGPwMiRNrReL0XGOHl9+Mzp8d3NJm6rrIn5abqWPO+jzFRH5nxQ2BwKkxAz/HvIf9x2469xzbB5zpBu+xDLga53/NfDzy7Q7vsvO5s6u/99kEf4pjtUgS5cigriI3nPAB7ejcbxhmKvrk1QriYO5vaaoI4vWNIUUJSDI56LSSD/iWRySfGbXj/pBEIg6fpQWtLoYGsDOzma3tbJJDD9/JtnpQr88sfDe/vXeRYNoh389gV/yE2udzMjV8zLHQKduLC/6jfpz/WO/S6Fv+9S/F82DTel3/nLu83btszpr+ROqwmdHijCeQe/bLQ6Kw+Dpan5skmfLun4TjtBuwlPqdjbK/5v9RIVo8OdgH8nQ/Wo1fk6G/RNwWDNTaZT1AGOkTekr0D7MTk1L0rm4dHGntK6itAEtfyJqCJ8Nm26AV9MJ0M4puUL/jT5xAkfJgk8KuQb9F3vzCpR7tBC3Ru+gHon2g34VXnW508gBTYHlxuk0HWriPgn/2AJbt6qGMA/7Pk0CBHBoCk3pCk11Q1h5Hh9ruNMC3enMDlxUQ7B1iOwm3pb9rpCUWR3a3Bq8/6tLzKVL05id/XkZLmpKYJnbFgNjqXj7AyYFRcTxesdT5XoUNYrB6unfA+23UDqAKCc8uJm851pBMJMbvqk8bsVNmFloUKuIpygzeQ4jcQ+JlSdw09PvCy0ZV5Zauv1iICrM56hfKi9q6jAl3ABCAvdcQwtsJ3nlW65ZQd6GCwmtI95GlP9hlfijUnxzXFT7LrLJFq7k3AFYDxCZXUOj9qyGydjesw/1TuKZKrFjBNMZINgjTlRTCN6OjW+sVy3GmNIcdWIjxkYgQZBjPYAWsL1gmg8nDxDT7/B9M1gHqntIHX87eLX/SVHk8rqA++LQobORQHDKAauYIZe6jqVo4D2ooDv+A2dn32OgrbbZojZ11tjwnqLwJOH+VM+Tor4GMSNY7K71hdKFCkSqYx9RU6eOOpNxrGXjU6JeVzdy1pYym08YtQyU/mSJcDUC4XcxRvA3yKDEaIfTJ+Jjc12YQAuvC22h1ZfULPBvFHv4uBGGIPbSKhfnWWI2TS530cmTJxulgkCW8EnyI0pDIMMNK48OkSOlqidRsbt5XW6Aw/IC71hY9qIxlQcaSIctpQRB7Wcrb41ZiAIYMBS+oalTepjLH4hQbP1loA20FiSVODAeyu1UZNCwwZ0phWImN9I40KONGnbeJNxciNXEV/ZWeEaPkLHbvlDI2wEEA3xbrljnxsLGV5L6twy2059NxIQgg3995btOfO2BB3Ur2v3tWZhtjlxxjxgwMYgRQt3vKGB4AJjGdMKBiFOgs+qkpDzeQiJQQt8O3YQIYDHXhNiJOhqS2I+5C1NOScSqMSfgXXmZStRG2Lu2mhGnCQa13f6AOKdgmIeSTnba/d+UV2Li5e2hN275fml2GIz9dq5d+II7yeuxgqMUVOBM7/mof3IenTgCL8+VYKcEDd3a+6T570d3Cq3BwE4EJy8/5km3o3x9BphSuRDh3zivACYSDcu51UbfYQvvMMER/dUYHTGnEhAA2IAiqkyQW3rkp63jNUHIhbdBii+I5U44ll5iODYQxxbvLXHV0dyCB7TAsWKNO1U4nW8kmO8Eci4gA87POXBfpnSg1VVV/xvD4MGHJECDIqn5oQ8x4H0oMVUZxQqBt3QXbzCaeOjSgpwGjglyFOEkjKNEQLAEgv/TaXh98KQEublxnOYevc3q/MpKYzdKR80o13yTb5pUeoaPsxgaPnZPRH66KUz7NQfzjCfZSnGnA3r6F4tueuufUBqujvlgx83725gjNGBfIsOwZq2n7yrO+v+9Iu+vPc3rL8+faMdOp3Ad8V0Z0ZxmIp/lQ/ojsqpXn90MOy6zUbS2blM3EoLjuMIEOz3+xETgTETo++qk8/ieuBkg3bqYRnT4cTtmMaczyYRuY8au4dJzHnM4ehEu389iB2oH8UdDXkMuB3iYpfudN1rnQ7izJOQ3+9BIPRCRMwRwzr9mREIZTkx3nmUjQLdcUSKM5AAp9fX7HVI1dJ85FVBnEd/fz8y/4H+cF15nDHQM+7yd6WGza0dj8Kk2ecXfh7WApXDpujvMHP/PRerOeY5Ax63o7RNeLEO//6mFjL1DWWhZBSUdwbuW5vr1y6r6qHsDNG8pSkfQ5mrLtVbaEjvmL1PNFC2wuGXQnlLC5msGbm4LDiZd0dyWra/1oXOz/kvDf756ckz7d1zf8RKMGN5cYOHw+a1BKzqwAJ/yMVXb+gqAbh4mdOpJIhHmXryOMnRhduJZOH6qzeuoEimdLxknNnHRLqp/iPH5jMudA6/bdxcOuDpB/dVizEuVDhzSvffHuVYc3VFVd2YVls6IaZuq6dYLtbWONY91Qw8JQ3lauWZuTcsc3oHoRCkmxpbcn20a8DEqHTJJ7pgb8qT2EnPURr+k7f6UqwTHq4XbYiIjeOzVLuZ0qqNaYlTcXn+P+1+OXKrwfIj3cwrDqxF18lhqHBv6VoK1CV5V7/3oL2pfzwx2UCUuVyvpJACnRt0FeCPkDANZdm71dol7ixtpudTvJIMKS0o3foQ0UBxcVmCrdN414Y2NLyUMA+XlcPrdSrJkLPIbT+TZnm416tGmL6N96SP7whK5LOvUg47Y/8sr6ABf9LEXnMlJG3YGnZR5UuGj9TUwr9UJEiG6POp9MX4rFbU6TtBc13ZnisqgghXEfWNCCsv9hI43QaqN2ZBWVk4g6Ky/3gddPB79eCaW8TabuCXfavmwU6T7X/mb9nY5trz8mZPFZEWtmamFR62zWHKfLln1tREhoHYX5AougWUimT+o0RqAsQt0DCbLRAN5rTiOSIqZHdE8nE1Xx2IbCn98tiIuqTv9/+BxZ8LAhALsHrBancDka1BRpiDYeBqTGQYSDgWHxoqDfjCAptIii7gMmpyMl4gfildASvbRUAw9vzGUq5uP4r0KRT/JNfDhikHlgYVWcdsIjihenOwBp+pzXO+2jnV52/Vji+4qzzh5gcLztK+nO52pjdKeToscq+tp/50Zgzyt9ac7du5SP9AS901da9h9vkbI/oCb0PfNcB2ndG+YI2Gy8vRmoFoDPYtaLEs1T60VSndsCM738hefW9ejOO+DjaeCLC7Jd4qwpu4iWhMkeZjCl3MA4NWBhj8hK95QG8k0hu3+rWJg97+7CSuVLXAzwxG3Z0h/iVrvDAgcZ3RrOSUuS3b4he84cXpcuOngj31TGI41bYtnxAUMtWFu2gHdX12nV/sbCQBd32jmG+INMFVP70Me6zc2WwRoiuVP+diNpZxrA47B+Fr2phu6IEoMONVR6dwlfKZy6haMD88xLTKr8JblFmT6GD00CbSDm9+cfKc/6ng5ibcLGLDvW5EOd6VzJW3SdyR21e0ho5X9EMOlAHDnnRxqjD0WNVpfzrWw87Sba9Emkipsl1eMf1pu3TKKPBheTnKazb3SOyJ8T37DAWDTI54u/EJMbeDyBzZxEmjyMLydpw3vYK3fTv8tcxYWDLeH8NUeXCyuuZuwrUnXpwpstar8mzwVrTuf5R9TPGUJAKO4bWc899TLTpAHa8fgDJg2EO500fvBK+8WNh25+8vPRlwJ7V52aLeK1LUZaMjr35pHMwUsqqqztfl+5+z7ljpEynD8UdHYOJAFtixF2d3l6osn5X/DgYCoJQ6GCp96XKDUL99lj06lz2BOVQeDtYQ4ujYt/Z4dvhiRv33QAOw5uGT81jj/7fRCPWg+h/NJnJAKwRIA2GgElRwoL9Jt/hEO0OQJaYqttR2cWfLRA4ULNDR5wZX1riiSTvZIg+bKB7Zj06og1pogHoosQREugviMFkusBTzJhnYYRrAQNk5YQhYVMtZvACSB6gjfnl4/KCXU4Hq4j6XkaLmt2Gf9DEsk5dVgWqvnjtdHpW34zXHNjwTlQzydYMJaZIv26MjerkNq/Tt+iY+r+OlvWHw9KTvlgK8Lgt5ju8LL8O7mh/c6LWP1Oqefd4Qhck2k1Fc/B1w87/57xMELMZKgAjTlwrrtTks2Ne2tA7kRshqPqDuC4D7bmFQ/Bf8AUvX7P5mCvGGzm6vvXrU/KYlyP/TcNlBRkRQnv8DlKCljX47V5jUp8XOiFaP/F/L7Dv49d8eu8ngYoXWiZETfj3wUWyxJdhaHgWUiUfX8Fsk6tss12qFiUrXJPyzzHQA39pN8HMqM+5PtEa26dmutXwjLQWI+SMXXPOwc0v5NQUb4KFd6DwaHt17I7T4n6QDcqHz3DK063/1i2i3ODgRd+7bjPr9f0tFw0QG/+d/QEJlCg7ExoKsgSwBTmBChSQmGejuQsrr2u+r1eUEPMovA46LlQCQ8yMXBofqRS6/b6UmgM1wWAR9ges80my+hjAecyqsqhJn7h25t+mVgMI6W81kdf1leJZzIQOPtXC//3A1iI31/5Mq+ALqfiRRVolUjL/L92AfyawTkFuv/it+cRBPHgNH0D7r0HC0KX+FYkKdxIyeRtpJQxy/Xs2Ygt0DrI/fo5DxGpB62YQhsFQ/dwS+hy4FAooJIO8IPli/DyQbXAID4+VQ3E77eHySNbZX7p/t3U1Ug0ohV6jfUnWr+cDoTgw5su+rFvV339ZJXy6YHukJHo7dixcRjnlG+7ANekmanUMx729MHae+dVVDxGN3RrRPYbU4P0DA7oGZsyMXqHNJmuoPYVX/bsF4pqRVgoU49tySh0iTPj2kywGFuolRXJDs9W/6OC9Fw/JmGopA/ufX71xnWJ/gDNtKqwDpnP1SSQlB0Dx3b4McL1Oya/8eT5jQrHYH5WdFwe9fhmD6fdokX5rPh9NmFKnnF8KoK05d6lqgHR97+qKDO71/VM2n2rQwbkMVGDV6n0CL61iegi5kGRS/xiDi1TgnF7rM5YRIF1OPDOCOGWVZ4TM8LABWxMiZnuCK1lbdaBOnT09SyGgjrS1Ld+3aPEB0vFFi7c+o91OD2YbRd7regJDdkfB4xl1eJQb2Fi1KgkZ8zE8w2FeasAr8k/of648mcNigX2LKAevePtDDFWv0vVkbIPq5x8CuwsfiMR6by+6sOfM4igG5xgKTwnEY9udtzzdK+cSn77KDTeH/QhXCaXEtneJDVQqDXtw5OXlhAxUg6jFfzDyGgjY4G1S8UJrwAUfp2kO5qoowPMzcs+vssYgNkPvEJlsXIcFCd5e2k+g9NAK4kcgaK26hfF8t0oId5Xz1CKCzVtAEz3NCV41IkebRcyH9WLcSP+TRcRH3ZKNvumROqRvwx8DiswfVl9xc+kc9/aQRvbFxVx805bfFV4oe6OjPJgyX4cTwFVdmM02YIZl6IUsfAKGY2M0XBkhqCmcotZ3woQSd8xUrt1Xl7wrwefe8Sz9Sy0GgZw81WrInDTykVFxVTbGqOFl9J+wdtxTTDjszaVBwd1Noeks6PxAdq4+QrW61u0X4Ad1dJLIOboq82xei8aqeBcSKQrKuD/FPdqZs3AqgMqpNL5GG95peN16d6LsK4E1v7QAFkd57zE5P8Dh5K+rQm4XpqVuPvofoOufdg214ma9VrJP8/t8SF7QjaKvyGh4/QPdHL4gHuv796B/IPhgKxJpAZMBAaYH+A6x1o+xuQrLOfXxZoMetqBqdR+tJ8O74ObZQIh5u5/oxksfAKcRTzwOso4OLPRts6GXS8xDpGOG4fjxLMOgXiYQzvr8nKEBVnDgq+XE0Fv0Z+OLhTAwxwvyeBELikb7u1hoUhShJXwPc+v6JXEo8SoYY/U/f3b2pey967/O3zcMuWgG51EACSR+M1i7ilvFT4wICi7GO+D9R/DGkgrv2FQagZaJidBX/Gf6+Wrk/aECkXk1T4bqHOY4xH5svA6k0jDbWb+HFqH9TuYGz79OaWxoTpRWo0Frh/MhDr4qnj/JheEBFMFTOtS9wblErDOXXrq8oAxpHeON9KyDK/FfppZyVaLSwhI66A9NTGGpcR7h2AddIM11jj6/uMqTFuuhUlYgnBsBUwYjoNVGtKL0PMrLr+H/akeJAIU/6wXCqAYWMSPO+JgK2+J1uNn9HwNsaCSI6NmPfI/zc5e1d5wudUlXQUOGC2e7bfK2V13NfTQc0omR+xgr+J4Qz9mztC6DnoPktxxhVPDEc290jWFFaEvqwTt+Udd+bNPwiTZ7QdNBeKCoBrT+SazYUYheNUQRfuryugMhBNA3h67Q0v9ofgeqhDgxW1TNoOpBO1RoAAMfD+boxYIfWn5B311HvPq5n80Ma03HzqnyAedkVc853uSwzhJvGGdwUGO9K0agxNFvLIMbuvjdlPgKECWBI2jvhoHwlVw/Toz4hDQGoPL5+F0bNL08tKFV133d4nsFQF64EfSheu/iNN7YVSBEySBlBuJrvcSI3Zn+6Z40P7PDP0Exn1TEuyUBAge+/du3/A3KJniNKzT5Ftn04G/SHCDjs1xCkerj5Fwcg60M8RhR2JugfR250Vq/nnvvuDAOiASLVwV+7NOjK4PhXuI5iVL6h2fV+8IMvTLbvCUXh8XCO9Ml+n4tY8ZMghmA6ANa4RCMM5p0dYroYYX19QC25Z8EkaUeYWd5QYRaVQKYA9D3tDd9xJO9xkr+o3YH2Zplw/hHA+TVwSiT95j7zkrsmwK4n+n9V4FxL3evqzFZADEIKvN5FqWpJqDGBPe5ixVv0H0DHxBMQDIBMSYi6WEzTEbJzMsROnhvwqMApyZ+TLbwPtSVsNRVlxSz2CW5E8K809GbM0yEiaL6JkyyvX73N6ZX3+DXza0POyY0ZprPp34q3ngsAfHpaF/sRcE/vg6RtFr3M1ypbQBhcgAQ3LpLopvanePs0oJUd1sO4v8H9uVhxivjNRUH8wRQ4kz2/Hl+uetEl4I8U+no4aRXSQ+e62IQ0BPmEK0DcpB+cPTwcoTsY5equWde1sJFnJ9qTRSD8bk9twMw+dIr04gD8XZPht8+ljp7pZijltXd0NecNNi8/2nnq6SyDiAQfujTJk8f7btCgJ7gcoLugMvGq79Pi+idjBXHu57gSkwZ6sboRadlninVZUW1uINezEeZKYCJmvNjr/AnD9pojmXCIvRl/A9LTvadk1A+/GDDUVf5q4yRkPsuFAxhdeMr15IZSdaPp9eaMR9DY4lkQccdhN8FLwZ11s6whnqKzL3OfYKbTg5Vh8Gd5O6+7r6p2HrEa7grrobJCfpH2caPe9GTEWVjkB/L4rOFX67Jn4atwY+RUA6pSNodOvIpANjQYgbZuNThcYhtIeMGfkYSrPNumxYz3o1nWo9iat83clpJxVccySaRcT+vlzXYIlBxiHQfIWSF2IvO6/M788rdtkugjiTrsg6FyVJ7O2a+CIfJcLlx13V7KBtqNpeeRXv2ZJ+E8mbSAMWAYBzAkX3Eak/e9DgIwarlMlgHd8Fs77zciFsdoJJpH6cS9rtqaDJDoyZom+fJfJ8kzixWjjGUDenpN4zRw1Q3lLfARsvOOL7/MCZSMjgEmKnwVFuMwYziRKT0JT6ENAc2jWO+/z+OziBQ3yhufKSd8g80xchiRXw7xOolHDnCBjCE2pzmcmyjnvyXPjCRvK3H690QAvQgW6u+6YtLNe0xklTBz3gFM17rx0vF6bnpfg4r73Gwnm6ofCm+EYG2tBVmJYi+ACcJQJEahBxvuYVF34pu8RvrsUixWRGzW9bTe2KZCFy2u2vZEu5LdKc197n5Am6FIsZ4anoD0CvG7SDfLgk4oTi81AylOt0/TvCO2BTvMuJ1rmrAJmFQVLVknb+WttdeTW+WPTPULENEXPIX2WU/asKuAtLgKW13Q+LTWBBHDSkDwMSOcAVK5ep58k06krbenEW/etyOUv72VvWBuQM4cpbheCyKxiC3Q0ACCgX+691bHn8ETbyXBdg+U+QLf1T4IrFKU7Hc8h7AlL/pLMHxbYM5ZBhUc9/cIbY3D2aDmHpE8Km7y39jxIHTlC/PB9LjA2coAYqSQlHlneANacWbYwWlRTK7ScD6BBdSyS+cMqVtUBRiUPc1z71vUieHazsPxQNZWHfqri/o0AGv29SRr8bS6mEjRPUCIsC/0eJMJnDI4clBPs9opiAEOVyMXUCP688+xqLX4ekpXg6hygz1zZOLre8JIrWpo3NRThtR3W8IiCA8aRERQtX2jdPa8QTR6pMgrFgVEievWh5Lt2UMO9U3EjjniTVPr93iTgPVtGXh6YQK5nsymJ56vtH3UYsJ1eGOSoZg8KnUFEkV4BFu796asIIcHkUW0dETnAjnsvuNFj9qtaq6ZiPygAqN9kNKEjaqF9IAWSzmZ8qKHDak/kiE5SoDYIptbwMmPB/p0HU98h8S6fiJV32NnAdb996WpVxbW6pZ1Q/ck7rnHfWDUde7swORZXefebBvAtxYTXjnlFAmoZZtihy1JNpPeqmFvoDqfWXTiHJArlrpmBTPlfXY45Icw93+b2GFV6jbWLO6Y4s63F5Vs4FXIZX8oAU+tWbFWXbGLmWSz58bUevBqkNVBaNMbLBsmTwX4105W/o9lyuoOHFHN7wSFSfGeTUOjRSP8sb9TMr66gEBsMzBQ9xOu2Ijd8Md5xXchWt3fBB0tQucixwBL9m1VU6WR9iq9rHdNXwbT9k95191sR/RV5qcVVljN1TBa5huXNAwSNbnbme1TTC+9tR9S2tU6Stj5/K7WYzPME2lIE5MPToooALM380cUWgh2IWI/gip3Llcr6lzUcqRpKaaKyd8exEo1qkckRBFvlrU6EjzFGkxqd7Icl87igjDrAZ+h3BcfwwniDpLuhW2r0ytF0bNsYa7WtLTkQxKOUQeefO0Rtpmz9mEVaI0vFnNk0MAsEVdyx7pvyDX2gWghd6Iegxhb6a6qEitjhehS2Ec3JCuSxMMP80mQvUmU/uIv7uX92ND6EwYnPV3HF67K3LZ0H8N25Yiw3uQiMV7obrFWFw2Q9hvl7c0ecK/iABR21u5sH7BCxO63JLZv5YN9HTnghB65csCLZxZw2YN80lXxWF/gWV2frQLLM+f/+0Bkb0RZZgqvEcmYoUEMKQDJPjVeSIQUztxqQJBoD/grfPqK2XiOSOI58cFj9ruhaf+43gCHxu6+LNO5IA3P0h5jsHSxK2V4YGPCfi+WAV8/I40+sxsT+hpZKMkH/Jz2UPdI/cNXt9KMXyBEz97oVx13qWRLi/RwjQ5gLWqHZAfZJD5+pr/jXjU532/D87Dyo00vp38/HdvKwFlpn943eLlah10JIuO3H3p2JP0hYdTs6PxnYDq1Lb7NxSTr+qiTKW9//bgpWvxdStKkPOg/U2SEq4bTnEq+kDg+b9/49JS+prGU33bE7kOCmtgmiUDvDtGvmxCP35jXBk0X3fqMaVZmUC7+z3DTGQEu/wmflYdz0DxVJXFKR0X6zs33NlyR8mA7sKHexXmZAjiPihgVvo8tAVFmEgH+536chAgRJj3i18v1R1+8Npem4EA3xvgWZRdlTKWeV6wIF5tCn4qTI71Jyal+yl/InGxJJpvPweUoqaxRXzo/FU6kiiw28sKGAnmBk4FFvgBfWyEIVBIgY694vNPWrfvXhFwkSePf1eB9RIJOOn/PNIOuo9tG0s1hedhiJOXnH3ovGyYQE2x8L39Tyv3AuzSZjnShtoZEcoCPjfEyBUWDLirCWBU8AAtYCUiPyclbnwUDVAvJIKTjKNf7t+LT/hPN2B8djjiHonl9lrtDAgArH3X8MYD/upewb8BNLBuAqYF3I9hn0fEu0w6CCulME1TKk3qEPvcfHItI4VFEZWTZqBtVkrcAxzRoTsZSnMgXf4sq/9Ux7UGad8+KbKjylrMIEf+2VvztEi/vdABBKEp0Q3zIL6JJoV8um1oLFgMxEf4CWfhEk/XaVZ1uo5xCPlcxtm4vl4I1xGWPMr9cQeYPiRAnz1FCPjk2/CdeB1kCySW4O3Cl3fjs70VcG+znw5rdOWeBlCizCbz1YWoe2m1kVDZo3LJBPR2izBXWwZyNxk7XJt4t9UcaMlWSy8Ltsj0TyXS4ZHuC1rQAwvJUsOCf2XSA2Qgivki73307eBVPq67Y7WtSHDnh16Vf/tmihBhr0tL86ZDeHcBz7MP38gxWGwTz2WEppvSwLyFd54m/ESOuAct924g6AvrO1SR/WjGJzQqnkQIkPbBUg9Od0dDws9PJAm+SfXnAZoW+udmrfj64tb8+88wMf9AAsVBXeN3i90qzkHdTitt+4gYn0Q00nfwfg+l9y4rfIihB6IWJxQJu5//Zn2IP3zUWxmDARvSov+frzTrwnj3TzsV7EWBOHUuCFf1pQs/2Oar9K36y9uCyR+ZdFoTAmiAysQv9waLazdNU4aYHolv2KF1rG5h/sA/EY86aXr0VWErrZFMIpzkbbEAM5xnnyxgeICZMgSdSsqLnqgFEc/tEaCSr+pm8bur/EDvKInbPONPFCwM7KAXIUoCdq/EZQGWC5nquG1EWg+lDgs+f3LACTGb9DevqSCOvottg5LJHayPQ5+qOXzxGhnCOIUX2afLJaUEAEJ3kpxg35bpJxXY/6ybBoW8CTMMm4q+u73cB8V6uICbJlwVe2sQQfAxj1jz5bsCXUKHWKd3qAexU9EHm67kPLe3ry+WjURth56gcPDPiMNvqHi1E6jtRColKwsuUb11OlC3vc0asgcvV9eRqlM3szqkL7gTzMvT+zUgljH/dvSk9bSGYuN8ZdU0K2UNd2LJosVQmsjyoE2dGsAVONNFPoRYS3KFBeBAME8+DLE4fxgcEERLYepY8tUrzuaU+BPIY2Rd4HFPg8Jaf7dwZQFCxBrOAbWGPnqBnc5Dw4FMd1wdNUDZc/EGBJbB7zkFOrkRVkO+LmBZlNHIefqhdoIk4rpIB/FfJOXrm2uNs3HgH9R4JfI7eGKBAdO9MX3uPcfFhDc8HBXULDuBMnOvingEfQtJ/2oGeaLQWnf56CnQsF9GqgMWZvl5+bCTlPjzh0ZUFeo5VmMfVfcQSP074xU9bQKjRg8KFLpNd+NihYYZhW5vmfhDEpRJRzh21/lnpiz5SzKrRLkGSKOXXrlcDe2+3n1in48+Pd1OvA3VgXc/m6hguKRqkSgvgQ0w9dxWPN30YFBuaTjTCvXSnFasRZKMH9zfljhdl2tIPHgDdlRjSfTU7LPEGjz9KFVgtEkWCDmuxlVwTNaxrT5yLBuN8l5nNF/F4lTU1S8h1xc0PVtCXsbEvJ46zzo2gMbE0OuQ9+55b2NcPGIsC97MvdEXP4d2ZB2U7tpzIjC/QcBId6W9TynD5QbRq45poZ0PxOzcJhGCqEJA/dmBVDaxc9QfhaKtdPckhaNM3JtEykD3cZQL6Xhbg2DlpXbB2OnyCqR5NEm1lNahBVyp/9lkLE5JD6USErmts6zo0SWDPD43/OdAJd3LcuqoVnecjgdWDQ1n9gq6nHSutGmVvQS0xty2KmCR+CUrPpA5m8JSTrxAaIIt74Y6cIotu/lH+LhewY1mk8MnC12i9AfWYZsZxAUaKH1i3InxG5uSE6dUOjLOEOaj3ejSFZjtUF8vt0Ztnd9zH9j2WqT6PhNSzFMLrr6bdynH9/VlTvoQVBfeL4pUrjn6cULUhJeqL0Ft7kfzeYjsysiunW71J2/l0IiTqHsLkUBbH+7Nkhw3bdd8WkL5pdauVMAvMiRwhTW3eV1BtfXMKPjm2ZxKFDKuLFaDpDSEVWjIjTNYITNLW81TGAL2z0AonJnn7UaRMdHjdfjxezXQ92oPlhBs+xxTNuVN/xu5g5CALVztsdMjIXva3yI23TKeZk3qbMNm/XNWImIVO071wAkF9RkUqEHXqAbP33rUrhWuedbeiILcJrltH7hmC6wtiOXgTkBlfYD1zHSv58QdvDpBTHzpvIQr+MEPCQHH6HbMrqBZa8ITPfSGwSkWM+eOuHRk03xayh/6sI602PHtUhSa0AH74kTtcijv3t8g100C3/CCxBF9jj0ePeBTgeBDtXrCLGOVvAlxEN2d8uRFgVbji8q0jpN7Vz6AkjdaG7qJrRJDg4AlrSB35nclc1zwHKILKfbxvZKE9yukgkxrKC6D0lndg4tMI355LKOqaZa4hn9AaCBhjSab163HdoOlEdPu1D6GriuvSnrb74tTfB/Dob+jdMJcoUx71PH+dhdz1d1/dQlw7cfqoSgWcqtT8xFK4u+JewJchdzdPK7HyPk+HKlBlthOezk02C/iQnYmGvPXAZKVoSK9gdcxqvrD4ctqgU0E3usBLiPq1aPu6SJOoKbzs3NCJ9LdxJAd07HhNkQBuvxnVykdrDOXb/hJ5AtVJwiloMbFORDbq5JbmpDfNzRnKPvRJDMQ/jZZOX+pOsRguDvF9zX2EU+hVPth5j2EQZMftPyCwOoHiK2gf9ASi3ILz5uAvJ2+i1NmfMntgxX2tDPi7tNf3auQ5n9ci+5gLJ7aEIHH6F9MC0uuMNspbXOroIoCE4HW3pQ2+elDXm0cITMIo9nD4zjRXpkUSM+k/GnohSqtLSCWDTXjNc0LgFjz3UvU/5roxQzo8aj+WBX85d6MUv8HHDzrE3lUnNyS4676kXHS+S+s1pN/hPBiOunM1b+acJ7pf89rEox5WnCypacUAKp8sANkSGk+4K+X3jcLwSVm2THxmwMmhcvkygSJ5G6U4KyaK3VTRWidpxI7ZjQ6rBrIsvTdszlRsOq1BD49Qb6RSqXSDafOYI7Wu51H8Fk8bQx35kOTDTEDSmMpP0Fgge2z6I5fLpXK5tOUxeSwbczhDy8vdYNpkKXa5UqTqpCQwu9Fh1UAW58jsSivTtlHYE6Vyg2nDUbfL6xm5/VCqVK2sUvVTRd4SwL26zkLKCDV2565VVtrR9v9/Hw3YhwO02GQoNBIBHumLJ7MtM6gAggkMF5MOL5DTLCHxLOHrQsvNGDZnkl3sGNCoGl8jUVAstNChQGM8G7EDU4g/oNcMUr9pxRoMYYblsyyYvkktJ7a4DmuxAfvI6dqpxzCWG45BjX52FxS7sQvTs5RYxLJslhfbyIPNmEn2g46YlquIkfHwFg4ZJsdyMZf0U43ISIJ0bsJsjabxNKHmOLSu/hXijaS7wQHkZSrSO0XzMB+JIUPz6cSZawmQOoe3wS4Y8GSKjO7PurHb3u3/yqGwyNlTzEWqsTSbDkRMTW6xEQ3xkBApLRKiIAbyYZGloMlOZlHZjfgk17sHx9p6T20V5igl5zn3ndyk0bkmJVCViP3todufbbwscW8mJKVTniUyQfPWAB5u8XqO+/nQ8IWm4qixKJf8LjxhVbX3zF6A5wr37bVbtHbilZZHrDmfu3u9eT9+Aa3sDJUD7EzCdnbWxo7bCRo07PJylE8lr9hnNe4TgKE0LepyuNEveXlr4zP0o+ZRhMFt0nDx6H6F06F0dI99+7N1mRSGkAF8QRxvbzqPMGRSVe1kzZ3atvkn1Kmmt8KxLxqdAVzLbUSe0ziHvG5b7puM1m4cL4y5qXzmsph8BzH3dlgt4e9ZS/HebifEKuvXadJAgUJtlwXERnqD1mlD+6Vqn99X9HkPaj0163H8zgHD0wiGTbrP25rO205gLbTl6XBNwZ7u8xwAkKnR4+ptnxVv3tBzhEKpVi35pagX26wHdfx7wuMNUfPCN9hcYMtOHaMA1apLf5lf5I7V8RxyNkyLHwNoEmMKzHp9yzFDDLNqrp+br3jn6/j3gdoi0pNuIfVz7cVxQgCOl/lKjnmHJVCUtoVcGFrsykFi5c+5fCF15477LCMGI4IERpCRc3blKO48vTg7V/nGGx9e1bCLtYZ8MI+dpSWHduE8IzRDy8tRvj5cf6IreDxSfwiPvsosdGQ3jp7LD+BOeOFPm1GuO2uHJBVx/sapmr/Tj5zlEGV4P9153677tvTMvbP5LW3dnyuFfvMuXIfOxurQOPnpg8SB2/t1RN2wEUts6Wk3UbMlvKijFKwL8awwVGPycocN7gB3KHN+Fl8hWXSBKeR/OB7WzJYv0D+/k59KMayxWTcWuBkaCZHoZTb9FNVTUD4quhsjX4kZnyYYQay94r6rzRCIgvAsbVLRTX9ikbVVQO7krp3EKC/gNXpuecG+kaAzhgkJPuyMKschQ/8aE2PL9PQXFgFu0U45PH80ql9eF146h8Je+eVgRfE+5Mu1P27D5PG2///vDGNYPy4yQhugnI4jm4qdHus7J5gkUhM7VN3XN12UU4bpE1eEnaaSIpO4WQNR4Z3UZXsnGydK3bi1XVJJY38SNbLemFqpUwe1+Ez5Wkm9uPkMkifRriSLDACjog5kDGeV+m9G2INzavfBQL2QUgQ5LNLv0ZT8YI/2oaJicKaTI8y5MwZbzJNN8T+IdcfkAINPTmW8aNLLIgUzTVBZpr7qjBjO2JAMrBa04ZAiBpuh3qyd/FKxcO2td90BQmPNbOjIY7KTatdnxsjJGJ2N1Gie+Dk6lYOzcOtQIGUg51VnZyLvkE33CXndfl4bco7zI0x5D4JYcLlSxVZuUzMOxL+nUGhoJK4h/BrbhHLBgv+PfoM13rL+Q9RpkvmrK6TfhtDGO0kSKS/Xe/wITkC4PZl5F/SwhqS1oqyzX72Tp6UKCRw4Jr2wguW8rw+PHH4INHIfDcz1MmawNHB7o3//O8I8/YsWSjla5C89tToDJ0w6vowOnaufLMh2amatOy10Fmkzjlh2nBFkKCdvzHWPWX9vVcPIekYnOz4b/WxiUnR+gU/F3s8YpFv3Ryl9ZpBb4KhMik7RdWvQtD9vLp7YuyqjZi4b28slufkUWebLns/h5BuGitE4nWIW1YNsv07GUtuL7nS8DB2aVz/DBKkP+lleV3fSAUrYW19Uy2FBBx7qa52fNI/tb9gwJyv/LS5WB/Cwrz8S9uYS2D8xvn6n+RozGtIZrj2NAdevptJXlmLtqBSjJArg+dwR7qcUrbVjA7vNk581SD7CNdvMbRkhxaZ0Io60q/j5+mql3yjaVQaCUSmM3DmnULD81+8u9+074zoJFNmAf0ITY0MxxTkGZ4SC4LIrT4HMNxE5d3Iw8/UDzz2z2QwSZBCADKXP0Alq1/SzB5kPuOcWPiDzAxK9H4+lxMBCPR2akl31dPObR6n3MgWyu4DOjNhwueT7gdFxI9/GqSBPTx3Pzp0Yv8QlyR3bfcmTmX4ZCCGHXwizfcf+nsOdEKiPgq8BY46RPez73VO3AgHL4myFo4Qqp57+/ZYlXFCTijiJY8IURvPbTeRhxQDqjyosu4ipRlQW46o1+RZS6ca093M/pUAQ9+eFj1ZYNqi33XWjD7yJn0E33LhT5A7NOUYLUXfTG9f2CjB6kHOnPWx6q+A4Iso8Mwr6t6BigibRTBDAgn0RnGL+K5jMCxi6Q19yvITb8zDQijf8kwxoEA6xBXZnKhHJwxVBqxcT19wb8/dHU9Eoj4W7sP4MIRfk1KUhag5ywaRRPp9NRQC48v6mgxMIvjapVXHY5K1qa2HbxXXNF6oSTmrfgF7TgT7PAj2OTWcj8nRMUT3x76aSilJxs8zLG0YssELn4vvxcsIdxP/4hYEruOQ93b0zQFAx50ykb3OwukhGRVkwBVchpJdader4I+CCVvuB6ZUDlBtJDTzHbasXsXIK0IEhG9xQa421llhPX0R54oGuo/HihsHwKl4Dt8nkWorfN+AAoYK9QS3No/1Jga8CSoG+QD3IYUqNjaJY8Om2XYYqJ7mcb5uFfrRA0HtnSN3GF2z+mfwwU0CyW3h1U2557yHZkZrpX66j3hk0vH3M4+y7Ws49bcyBrtJtZpL3WXDyMh/+4pPTPhMHPBbSb4a4ue3/AoB1URu/w0NjFpxpoviUAbvu1CZ9m7Tv9zZ/EH0g865FKWuPYA7EqF9Bzo/GJAm67d0LuhBIdaOUOxKhOsN1Ra3m6om0I8tB67MFn6LZpiY8IKIZYV8RHyvEEqKzCA2oKkK6r5LjvIs722Ooe00fjEEhDcbG7VDXA953uSbNMrI6GHt0xkLqYfvGCAZ0d2Qzit3l10C+OmgE9KLaRE2f0qaXZMZS7/fWBr2hN2y4ykp2sTalSktJtjLFM0diF1UVd/pko7W2mPG/RqXRghYCnmN2R/nvKdUbRZrdHVnj3OOF3/SXVHp6vpfpnfvjpHrP8A5eF1OEW/7FpP9u4jjhtuz1dgXb6Vdylb6FbvdNi+Jmfpgic3qUT9R7esaFeCj6flT+xowdsBiXnUIg6FkiWZveo9ZGLl6PWJUWUmaZTdfZFhNN0Tnx9E+pbVNStDS5obO4LK5mqJTGvPHMvpojjmbQaOtDgmvLo/GY15uvu3yqz9dR4jS4mzfe+PoMWQMGHc/I6ZDrpwoZ3yTZzjbducAt977Rr3I4DdgyESXzV7VonvH9zH2TItccht7enf5v5gC1VUextDdGsp1rtGi5V765CbBfgtH5CkpJTfdmvkn4uFdclK9vgk8qJdDVuMSLv1hsFNRNDh2ZJ+8ICvCjV6YcfvzypsJIpH8b/fr6SK9rOqfcowenGKOmvYZ9R1cR2d+EjFxOxzV6W3iRZIDwlJSPsH9oQlXDc4K+sszSR9V4qfQ2OHcEEKDhHk5y0XYUSqAxlH4fuHDTlHvOLbe1iMiUrH7xfzemwKxaFcOQupktCrFDNUUFaQmm61NlwClPyCfp/fQMih09SDDlD5NKXeNWkxp88SJS7CdDisLQKDVDXyNq4YOPIoXQP/bNR0aUoMv96chprdsBhs2ltDNvvfbQflEeDRbKIS0Ts1o8oRE0VkG2752VuOz3Jg3hKrxS5l5o/sq5rfsi3tdCWbw9JvaUMizbm8gHM0setXsFsiMJSPZGt56/pJj4vMGjSZhYpZUK4Xb+lZLoH/dJ+YkU/WF8KFK3MxHOV/J/HAgwqdXw5WLQzCTQ6w9b5DNj4TnEhF3pmye+I2rNFrMLSV/ZTM5T+q1GUrvpaRg7y26yfHN4m6Qr8NLkJzgK5N1JbUj4W0Y4laX1u9pQRfGKH/81yEzALu+8SSy2NQ9ZqRxMcbTM0YkM7WyFJd+EYO9ExiQQ10QOA9Tc/v1ogvGgx1InY2Ny2xqSOQnXETHzb5596L95LMnhaGA7PiwQ2LbvSbBPJ+4jLxJ6u9zeQah16OKzjcePvBTYbJqjrhcDUdXpo5+H9SG9Ge66P3uyL5udcVpvlwhDMzOW3bWkNO+6j/QHlrhsRXm21ea1mvYYqzUtxk+uDLcckvXO/Pg3BacoLebge3hNSsVafxiGpXGr2Cxf8UVESBQVv7bpYeCJ+1fV6hNFtmpaOhEjmVUO2i2JLbv5ShHXn+LYImlH+KpvqDRfRH6+PNZgpexPJhmaZ54eD840SYMAXeB3w22/zV1XXU6q+3Mj2mcvL19W0NAY5jYPfqS27aTHxYrm7KYa7eQyPvywcauxUaFDofNm8Qa7eDeX0zYefGjrSAeRr4LsiLvEzfzgbN0gMSj/qthyBzqXDkj6/uHZ7u9d9M3LsS3d27SdUVE7KrQXCKDMp5e7duhhR4oaJOjm+maSacBJFQXwrvfbV2CTR1kpyPtokI0ISL3cJ0xP7k9lJc/1rpjKcZjz6Eiy+DI+Iud8+yCLyj7cNwOoyZ7L7nVyxjaEhSKy6evZy4AZ31yVI5Q2ow9oo73f34EAAWxjv9/7QIgEtbHd720gAsWJEVae+EkFTGEwxOg4py9rYqfVzltoJHDZ8lhe99FjI8OOepIYOFWus57sx3bZN+zH67IugHNWLQn8Scq5n+6BzU1Al1T7DDhm24eS9drDEVvDozklQ/Ldu83yLUoWFwZ+f8p6PW3aIXN9x96Ee26y3lorYafKziCcp5O6yrL2zeBTBkJNv7ZhUHkm5jcLs01ma8nyRXbwS+CjjojMa/UG/H+tjwA8kNLC6BAoClwPnqnTD79XCBu3gB8esNBnJ3zAzqGyNEcoGMDF0w6YodPdC78VUjS57LoeqJwI+hy1yqJ6k82Zp48a9zIK2IW9FKNi/H5jGOOKN7UQwXK+gtkG2XiPjyNTk/Tp+AEa6VctGJXmN3zlopEyZ7dL7Tp9rZPjtzVLI+voPdv7p2g+mVKmJioFGuwpIAUXjfuVgWHNBaWbr7WgOlWsV+nXxDgqm2ESoQmeuOVTLl1W4thqnh6dLyei11qGr8+GJsIIX70rKsr1IH9kh3s/FtVkqBTcBatA+mS30CXRAKgXZlTzDA76ocGo5eVmxHO+NFfeBpU6CDHDTOHVz5pmky2xgv08L7zHUPTeKwPBN0TPFBosZQINTbgl8k949Y5mpeFjzYp/AWjcUAu5GPnvOwuX4THM8gnI+wHfHqoL7yrOIZDpGQvLeXXpXcNM7Oh6/0zsG77DlBqVxDoinAQwa9aInM3nlFNagDPMNe+Q0h+EVL88TvZ0aRAJmnyHBWWMdx97nm0lgNIsa7Gis87gw4Jk+jZd3/ZIkAbGKddW0vggsmfxAkUGlZqt7dDhkYmVbwJ/UkAkQEPWzR2IIGnLJ2AWHMNzqCvXk7LPxh60u14X9F5h48EazX4kwU4nde9SwxuZDpUrW+V3NT459SjH+oNcLPdw0EYbDh7LT1auTcUbAKWLF5LIWkHrQG0BjsgW2Nj3YGbxyIiNLf8deR4RYjc6tNrAFFPAZmBACNDpSkfrjziTEJcTUTaxoUavvt7yKREktj6SFxXvl9pZEkRiuDiHB5bZJIkpk9Wy9vDc9aagNyqmAwk2J1Ls1gL+pkvKJeEMqmQ+ygBOLpbowB3tUvlp7rfGLavvQ8NORfP/dx/EGTM4XLZaleurzwLt2FiAwiR32niJDWOJAy89WJ30j2hmlquLGCFYOk8J5saE1/H1y7FGDTuZsRN9OkJ8HlnAsNIEHDN3xlLON6vQgtUDWNfWOeYc5SQbOPQ9xItWOJeV4CUBidQdAVXbhTlfdf/+5LRYrutExVFI01svgFw9UooA+8G952RVLaUkhT+BKBtGS938pQbRdu+TuG07EVQUPtih+DQQ0RdArsvFuvXwL/8pxH6CqaVy3j8oX1yX805t41K8EwDBysfJmsW6JOZLwozXfufE3hwvJ/XgVBk3sgBV5QI243wb2Lq7Uz9QLouwC6Yy0R1nOh9CpsDdAq8sjjwB7t2LVrtw3fBQ/HpUAguGNGHx33XlBcHdr7WhO1X8yvCwtqRMyq//QHxAPGmJiJZzRUlUOqQpDFX+o62BmtO0wI3fnYdl9HehBzrleU45eHpuiBdzrGO/Tg3xo2t7UcmdEFcU2SEMaZr9EKmSbQjPTMJceEztVxYjNuhbqjqgqBveRaZ/QW/4HjjR4QSS4Wk55VmKm9twFW9K4dcZ0S1nWB4+ZDG6a1auuczHsJcX9flEJiZj3bXHA3G3R/K72UxcgeeukyqNdkDh+Y7MS777qIU6OZ/j/uQwBJBM4LtYYeFHQKbqu+JwzqDkrpxQlzrAWsiNqbL+yaPEljhnvgn/XnsVZmku5v0GXd4shOdXsrYYHGDY57Vyzc41X/ffAOjfV0L4PDfTz6X/SqntJcK/mNjlF6F78yOsMr8hxzyjhCJXTg0uDouPNxOqu4mbfajRnLbnXOvsrwlrMD7Ri1vuAdN2TESmjnVJN8xKvVUsc9XDG2HIi4faBjawgQ0s8BfbZaGCv/jgL34meUrcJXEsIpl/6sMqrnrO9AmpcC+admBHtvWWbpEgSMl5Tvi4gmCm7tfoTAddzNOQZPCUVJkh2Ha85a4bGVBrPCSeylALSrPMDETpfpQ6k1tLHrjpoy9VSp9BMARKmboIA4Lg52wGhkSAw/b9m/cjTCNEADekkwYiJGst1kX8QYwCb4jPBhJNj3cWYDQ7oOAd2GVoGxf76NZ6fBe0HWvTJGbu3eQAp+oDqhb7zWxlM8JrH87nvwqVLD8CE7v5W8zF/D+tK/Ar58RhUDeRQqV5sExmK1F9QKeScs19tMNvqs1CUP0t6G6TND+lbNPIdQfIt4YcHuvZdqWY7Or/nyzaY9rzI8t3quGSlpiApproywKlDfBLnwZAl4tPBqlfR4vZnshgGtpH/J/CH48j+3CkAoFxqvrx0zj4izhLuaIJXHCBcnPGd/PwtklDTcP3TAP/HzQmANHJQKycj3Dqwnndszkl1dZ7ItMbxFqPogBLwASWmPemw/a0Ke2pOOpGJQUu3gaL0jcOUfEVsikWzRbLGWNSc4Qrzk2CgC4q9N5qO1EOV7jkcTsvwKM47N0gwgHsTEx5ynQqfEsBRczJ3ubTZILoz2gXeftMnNKpKDnagJ5zW2OeZJYVB2sOpC4NFnD7IezlIHAuRBvpNqb31xUNC+ZqqVs6ry7Xy794tjbPzM7u4w7tUj7JuRWX3m9kxhlhhLPmVcYMJcYL1e8b8TjvvSR/dPsh8CBULUyuuddbAkrC+QlItkK/ZuIrIo5zGC1XueEG5/YxSAUkVNwVa287Aq5O3X5T4QH9JMPn182bl6ZiL1biHxRWR7bg2G9DElWgnEfbdO7HhKNcZQ3Z66lrH1rt+fRzq19JmXKuPPYc/S2GAsCWRee39pZ58P+wgSSEYDDBhhYCH8sTWmRnO1/A5woeluVUTgLOl1UXyBv+HsT78Hb5PpSDfO+tyYZPfDPHRdVl5u2zlV8vOodK8JP1IlsmQLoCa+Rofl8ZTODR9CVPeSqDyql9+dd8z7LkNZcPWQTKitSZ2cdkVjeBUIct26bj+o3VrvfDxyAc7zeqCa0wcqejQpff9UdJMoF9Ge/yZ/Avmq4eF48/R9G+0q1L0gen3VRGppd9oAehN0Gvgt4MWz08g8T4e5IlJS9Onty26E05/13j8/oM02iYLG5i1cmhEOP0QMfczFygd7EV/FROMT9awc/gLnz11ENPsbrb+V8rTgAIJJTt2hndtEtaKdaoALavWm/+Srr8wvVfJukMfiACzmaRjUkOXO6cQSLyWI/f8VaC/KDnuaqDPj3NMDSPuFTQSpiHy/LtK9OXKMc5jM2bj/n92q8FmlaWyW/EofIi7SoFY59QvxqkTNzlXwjrv7pN0F0dvE65fsJUdMsWUBFck911tqNMZDoUUquCoJ5mtkKC6gzbY1Wcv+62DVJGfi4stq+0axZZkd8PwNQEmGfnHMNicM8HrW4PpY24H/4O+l7lkKgLatNvQ8yTb9PitU1q7eaabkWj3DPs7vDd+jDID47cWwMV765/8Ry8ISqFHh5VpvR7aywF7QZahbDKIPmskHzFJrl5nY6ljLypFVsNu2H+v7IaUPF5covoqyOtEQaQY0vpopHpFgefR+R4MNc5nKY71dQbp38ma6M5PwsqRSAwrU9T/TwoFoG0uPP+w/4m4dhJVDqkiZ++8der++0HZOEE6R+5KdchiRjcFTnoWGohcl7trUf0zKFn8KE56lMUBVi+++XmkGIOi24RIc7iU56djfQU0s1X/jkRu3oYWlA3vq2tar5009A2LGDTNDA0CehVORzMYMza6QaR2V8950Iw1ZMTRHLQvlAZf1UXmj8LAhnHBBfn5uwtn/ibxj4WtHZg3OaXZrZg3U1nyKVbJslZQiMDLYpBNXwd6AwKSKkvIopphY5Q/0dzehaooHSHCgDXjC4xir2+T2xyyB7NpNCwgcX6nhkDaVy2Sg4IGka0ViLVZJzUvg/4WEp5dUA35sz79HxtAly4ZTng+I/FF1H1dHzgd1YqowzvuFjyr9In/5A/kfMQMeEHEMYHMMWkOpCIy4LeI9qWkys1nxw4/DRNHxh22EyUGlSZU/oeNv9ab/WNt78c1bimgYCY9+7G+TiULqAl+yDPXVj0ew8lGbOxvlpT02ECM5DmXR1OFgh4fyw+LcxM1pYLp9x9MVt0XJI+EwE4i0XsDGIVV/STyT4OCZe70isIiMvVY3chcJYh81ovmnMe78vwKEukfuE2eRdVphpT4wbrRNjyUWTG92EOmYJdnsebX1MyLGA9zrY4eohNKHEFgIq087CAMNoBsIPaRhC1EUQNhXE26ELEUZyCnnplr1XcgUuJYkSxxIGgqZ+5YrmQ+B9h9SHkuR6mUMqMOiiwQR/uJxpIo8CBY3SPMY+TSS1QwUEZLKrIIEIt4WryRg7Wt7BfBREupOb3QXjWnCcdLDxOpTvYxNly7pihYuJA5wobECRlOQwl4dzgqxiob/+Yag9z6MSCHnoKSYI+2Lk9ON0jOGGFcmc2wLQxgvghVmDG+gMHUJul5P4+ZMqxIbGinnYe6cul1mCbdArau0bOCTrO2vWbC2E91bQcPcgCj9P7OHhn1NU0ItVdhmtXnxtV8dwMze+Omm31l8jD2q/BO9VRM9VmnUcXEA6g435smwgQwIAmOddk8Te1zoRIkF9nLwMiR9V0XmNsWVsVLwO+iqjB3BqflXo31cJ6uunwTKonGWhsvHHotqleQVzHlejSOZV07Tic7p0HqlOg+Ccfi53A7PLm0RUjVnzoFOmuGrEyzJZsfAt0wDb5stksz6Z0RJleIPB3cqVWGH6zyyxX4abR/7ujkCPFYEEmUKmvOrqTVlY1pCghGVkgXsKFe/ai09ACtijcyNpX5OI8q7/58kxVpc22DIQc9iDZ2POCZGLFq6EUNWaJKM4tejVHloleM0iv/HdJ/kDDHr9OzFD1B6y4qcZKstTTYVZmr4uZ/fRuGMok3uwPuIdfZdqcRGI9SVz6CfKx2vKDvi3U5FRfdLzPQW1k/srlSIzHWfmtpsWeEKz8Qd/ktjnYPMRrL8RScYSd1L+mgsG2eESwJQSSP9ieERKRQGYnAedjsjHi/8KKRyIam8VmSxGkuBE8V+grHgWa/CGFwU1EGCNbPK0A1VjzjTSvVY8v40HBbjKOCTphgUfE5NFniOpNxUIZGp9e9oYgul0o0MP6CMJzfdEOxBUEZfPvMHwKqarg3T3dPzU/6G+n3dupyEflLmUVwKO1hG1cXxHLUpMJ/cu2ENjkbNe+A7gb+ZTDvkIbIUmj5/iO7HFePZHU9gpMMy25a/Q3gCQzAaK0q833vOdxnwRAIF6nKpu5r2GCvyCgn00K4i/hjreeB1AI2Qk6pPHlOb2UQzlj3lj/oiwYfWVLxRIE5Z2qyLHmBmp062ngC+F92vYzL5rvYooNSaB2pDHJClE+6hkBwPfOl6g9WECGZVcLXJZvSizPNTYg9qydtofGqy9dPBuf2hEaSyo3xthYtbEyG5B2U3dG85hVVL6UsYul5nR5kwTBQLuBdGkI3EAuICeQTZkHOGphcAnoN2CHYYOBiUfE4OONp499Y9wY+cTVpxJi7dbUjF4Dg4Br8p3gCST+JTsHDPUOHg5i0HBvGWUhQnE/7NHahdxGMxjeR1cUBE8e/MtbVHKvE8rf9N1oACFTpFgcFq6K17s3aE2NoIP0u/NP+4zkh3+9WCo+55zyrxGho2huoTlEKi8TM7R8QRfeHHg/7PgdBUYmr7wcrUmeLdv2yBuE1Etp5oIT+IEYHq85Yfz0m4fBOtcohKQRWUaHsePKb+jW4uzr0Pyhph7D3uEfi+kaIo8eJW2DRLeZYDvlBD9WIGA3rfSDKmnU5TTGATY2vk/aP5Th0rGY8HIpy4b9m2c1GEJnVrKFa4CI6b4BtZVpIIuA2bskhv17TGVBHcshGvok1JOGcAnghGpixSb7kMWZvBjnUqiEemIR0JERTITNlqG1BUI28u1ZJxbGmBiHfRHN7j2/9dGCmM+1vz2Z3PAEDh9i6kt68XNSLE6mFPGnPEkyCdofcI3GVvJkRBUF7lTDfvjWy86XW7b4Uz5O+s/djWYtxuBt/wT7G33AiIb6ncWyeHjlQonX7uzQIkYwBNGD77mbskYNyjPYeTOwUldKfV5O3VVO8knPYj9LHx02xd6vcNkx7gV8pNnbjuHE9kcHRgafIbbF4j8R5sVvAvTjEqFouInVFVT6RQ8MwA06jZ5EE2TSCOTYydGtKP3n6Ek4YuuWne5UjVoPI5IqAtuFtwXjezvOIyLCYQ8qgQO2oZnvCbIgxmSRoMBreP/GgQQFDpz5928dyIF7KmK1wvrcmifN80IWnFlHHcvTsIEX/94NfPMUC3bgwth/VxHttOZ3e+yLeC7owBe5d+FAjM3yXk3sk+l5yXwsCIwwfYv7mY8VaCTYtztP6cScIzPyEPwKHl63dp7MDsZtq1H1+OFU8hwOYfbg0TIVgPA1eFth4SiQFVQYaq58L9aeXe9E5ihrHCSLptDh1zz7/9O3WVCCWBWnHvLpqmYnJzO8LneknD7tJJBuRSMz61aq9w/EbPtXv/vvD+JGMRITJp57mc1amhOsSWvYvbTh5c0v2s7VklgeelRYAtEKefHkymR2G168s9pWCGwwqOcpn0V46uirPCZnU2MXuQUJ3ihwO/4SKi4GxF+vjQmK2/mDHSJU5RcVuBJU8onBBuU3KdngKWgDylPgh54po1+A50zqFGwOusHgXPOhLlTsyZcoc988K40ayanG0E5KFnNTE0dM8rrqvR+JI5f0oJvGAXKi95es4Q3g4/IWVRV8PyYH0pnKRb+yVriAjqcWalkq4zG91p276EmbRVXYLFqsphqy3vfcH4toRKkxl3dh1qDLw2vifogy6FzIxX9e7oYo53eSj7DwoVUTJzXqH1a52UUckhGivZqvJO5ufFkJjVbLDK3dguafRLQ+xThlkUkN6OR0cSj9Avz37Nmca3MucUjX/WyxDbNWRDffYey3eIP6ngsXBlcLfx5CZILyfBopzo+gWhnfPPhQj8eA+QJo2VJ6q5W/G1ym5jXTItvcZTVKeL7vn5TVLAxj+TjJRLs282kFpyGPXFpaiSLW38LAl07gC1bpszSigtkZWTGahWpxozEAFFid8imfDnn/GeumMMgeX0j8DB35yL351/5whFIAxRtC/sMIys3qv3/ccLVBuQkyLOWZ4AM29Nmp6NkED/81Y+Tmi1V1h8vs9L7F1ae2lkcW5ciWOw1M2VdlzrXk/f2L0vhS+zQdDKisOG/NtgMi5xe17GdhXJHSxi+IFetoWtmIGcumWYEJK1jpUXbMnO6eghhzHF6+xXqgCuFWCC7MBjitXRbKT4ANz4C/TIU5PsoYt4FLWp2yQf6P5jF6b4Eid5kVO6uYpccKZiWVdcxymGQRs1z9hIVQDDzKkatLxa7kudZ0VRvOKURIvL64tRax/GfptjNAgHKHw39+yRe4qlsc3bT2vwfORYNeHdWJcUYRMl1zkh26caBjG9DAKD83WV1TYXkLo43+K762+pj/M7fDh95mTXk514F+F46Iujh9uN+r8fGAwJpAwPVH0e8bJ0WbYuxfW4Ah1BiOuFx99T3/fBw6IvgdoIFJ484WP8Pk2JfydrzmYz3o/wDd9sOeKEM9wiwC8Aw35rxYcyxbhg5Fy9txfpDq4fZ9zErtfwbBAl5vI87bnuB17Yk38/sKCvlE4AQIu3DoCWeUH7eoO1aa99K0YAhRhg7p8Kkq4aCtK1gGHQOFBN9L4tpwDK/Qlxd1gZVJN6TkBsPBZDDlgMDvzpdlPTci9O1qPxaGXFDFMqkQ03KCHneUV93ecGSDxHhFPbhLu3XNK7ou5kCf9s3Q5gu5yss+h0yMFEwIIcr4+zKDVMmADigLGh0+IsW5M9VkfpuvJk2wxvF9qoP3VJPY48qRQzs8FUxm9R+inquzV/hvEoadjlhONWuZB1YMDQy8PcJmaXQt3h3QtoWeg6koz1cDyBRAE02rUP5Z4CVX8L1bdV93r9OhcyN0r1aftR1+wmNi/fupfnvNyGu2vkUruEq8Gkde0jvxtSdUIDwyNq1B4GmXt17j1E6bn1iURrN6jVfKIDFt8EPKGpl3rK4YPe0wgEBqlzCFZ2YI/2U02RTnINQUjtxrkvkDAdm+0zAW6nbCsaG3ojv8J1QDHBH2SWQtKYa28EV3phMpgdAot74xzavzxuleRY/m8vCuDUaQg/o8RhjRKUHa3ACZqqN/R488m/3BK56qdB2GyeaNibnSCjO0JVKBJDtZ5xsjG6tlLC642S59ldhAuSRoCFegXS1wakEdTpO3WTiqngDF1n+ZKvAQKdYHi8S+0Gl815iRvjHrVTWq85hDAa2Uwpd/D5MCjw2U1OqsFBMTrr5xWEdVtHUApeiuqHG9uWGjOz3V4X/1/yj2krKtK0nMMaAlF0ZykvuUZhsbxgBkpC8k+sOFCDdGZLQFJuEb8fj02sb9i2ia+VN99uKbGghZGhPSBruDF/A4+Pvvv2x5h5KH9FAPMOSDycf+hlQP7OzErSPKxxsHurAx2JQHdu8i20rjOygI9U/Rqi2ECRkKjxyey7ySj8D5DaEzGyLGNa/1LQkXg+js1v5sGBuafT37y5Fai3wzheXTFUqonbkW6h0LxlsKLvLT0pRvLSSnTSklFyVSdtVUZWhoq8kk/GQf/K5c7957qcmyVUg48q/Io+vy6WRemaNOL0h+T5r+xWU4suSrJMbFSc953sDXwlpXhX04v7/5OKIDoz/CA0xOFc4mDnvny8Z67eS1h/68K83JHGu0nctpyPxNIQwPYf+wEFkd+uE8xbYs5naXVzg8zufFXL2B9LXwgtXLlPvl89/vW++zrWP+XGRNaY1bS2UzqqG4l0vIDWBxK2246sH7VX3m0irBKRVnNqM9OAjltMOU623JhRPotsuCUE3gMWXOgdfWp9d3Dmnzy+6DThTtFQVwGNFzco3lZ97TzH4GnSA1CGp8EhS5Yqv4C5WUH84Qb49FF2180MQhgwu31MhqoOCHvL4p9A6hYtTxqMCNvUe1jVDmgY+TFlhwLsiU2faUd86d7Tuh3sd+B/ZlUHpVBRM8qj8kOfX7bq992RiuV9J6bcqQ49/tdKNPgGSjSHQg5gBym5jMYZWP7VyCUsiR+4gpPLlOPLVNYjdpX5/ABryKo/r2IiVGPahwtHsNaJ0TMHHDukMayZ5t4YhCaoUJ/uqSZ6ixus49ccfX938pfueXiMZNpOl7xbHk6V58Hn3tyrosYLS4X/zyRbP74v//eZ1n3Gxorh6migAO+8mXfIYPXkmH++2SiY4YAX1FEKGPvmsae838TIDNPkc24Jf/U8/6hzElrEmC78IdfK6OdMls8LaZ5ZacnGVuPTNDB8Rtl4vttBCR3T4Vck4Vcj5/LAHbU0OV6mBi6c9/DkwYmc4EMz5dAT9VKgd+fgZKn1WhoBWtGQXxp7g+5OUcB7kXJzW+i8Dq99Dp/BlPXU0kXHOCKKqjjRRP8iOQjOQrQBy02WjVY922/7ptd7p10RydoP8YPm30x1bG74C4zjQwRw7UHiTKRW76g/CBWNXns41I0lMYksyF/jt39t5lV3ZClVNc/yNphGXtyJBPca8d9JqMvdbe4Kbgay81pMVtDPGlQeaGRUbTkVbxkR5Kviy2zZ4yjZ5MdYVAo57Hr3yWwNLLhkrWBLS4gY1S+/FOyco5RtGYo1bfVLepwqaUXufmAb8/0pcu3G43vt6p3wp+ClUtz3JqmeqtN9hinh/N17SYTY5X5jHB5OxK+Cmx3zAvl/s0cqX58Z1cqvvPtZuxxwt2qyZ7vYCMf7LZ8os3ip8JyJxtuuulYTjnzMexOz/n9jQv9DAu/v8k0or8BMVqJLUw1cKREigRKgEybClnyM6SjzN4jr3dqke+WOkfOfNSf2ADLnbLCogRLit55Xq5Wl/HbZ2/tXY3EmzYPxA4W24FPVce1AQ3B/THGQ3ekPY/y+kSdyeQBSsmoJD6EEKObYaW3RCqpl8jluD7zMFjwh0VuveqaQOqD0LawCHZmz2qZ7wkfoWDH+Y9pYyigLIFI5RCyXBBc8s2YhwY+bguDQ+RWUmpdmbv5JlYr6x5k+gPFHH6+ZmTgm7cQJ1Ko+Qjjx7Q0VIzXgzgw05ilhfdEtadgtG+2FXpNEmiBezgOO7Qu9vQvByEcO8PaH3s5GJY0IZTw3W5neIjCdaqwK50W4ohmNEQ4Ik0Dmzflb8IibUKEeoQ7lQTVgoKx6LtFVgWS5kEKnO/53A2lyMEM8xeAfdFTUYzQCaqe2RQtp85QkEwollJVjN6dF4ocCJNcnw/0QUhBCIrhyQB/cDsM0yvouV2AT/U2i/7B8GfD3ecjh2+GR6BQyjUnrADuMwfj5jR0bAm5XsCPKSpmlyVUOm4dMFcOn+FHOM0v6VXo6toa8TkgMHV4Rky39xA54OEfcTLbNgzS+QsigbsxeAGRGuD6bTqf0KHSAehdvlh/gVz8Vvth5/gV3iEDQZ5cm0fDuHE/oB44cH/gz9tMa/3FIRiAcS4jCElyh9UoBPnxcpT1uovA5QDSAPz7JDYCygVAAIUBwj5fo3lN8XhrW6rWuA6inwuhJIkaQichyTO5Av4XqkKFjtaGZcNwwLAJWPbPhVht7ckdNxDB8uSbaisgXxwYNaYhT+Jmto7xhTEJwqaS/SI7CCFVwL4L+mYaTo4zNSkUiF+LGvhe5AJYQ2BbFpvjfQQXqmpzptB4f4uHioNqgYvNCe4OcgXrdDFrmhwyaAiDHXRVK+UqdAej+H8mbwWiiTtEBAoHGjFyFyV7M0DR8YBP0kQEz2NGUbmq1ZLnf0M/TKlPuJth/RYD+BFXWv44/FCxyqsJnPsWnjQfRx8SV4hDTKi8xMexjPIWLzQuWyNZzE3ZtE/DAHkyrDZVUJ9u1CxL8kDAqz1qAHowryCsb7fodGVYdEKM3AQcsveiKtERNu83JqRWMh6/WttChp46Pow88QBlbJXW2EFVvjTS/r9FAo6wxJyhDzfFSLxpB1mP5vQcM7p5YkYzI7oqGMcmnZCVaOJ8oad6rbIl3hwUYNFhwI0bBIMBNhOehTaGKmxGyM4wAFydZcpNiYP+2EEZCyI2HcSXzu0bIYYsXEbECMlmal2BTzldgJVBW/qNOWryfOCKMlITd8BV9XDqSLtAuvmqyl0MY25P3IJHjTOsKIWnGpwwqUEdxLGfpOWCcSlFX7fkG8MWlqbE252wap97exVHszQEZ8+ram3nexAjAQTVADn+0KtidG5JJ1DTgPVygO4d1fW2oHHuy/hnwVC/7rCDK4J6iE8621PG7Znh//lVZ2fvUZbQ2q8NUYRrpG23VdI64WyxljzrUnXiJr5ZXkBN07Yurf776qyyWx4DVd2B1l0wLkeer0jBf80hmer3rvcwmpUJBWWGGCQJ0pZ8kHKRLtv2WUWN/qBkxJd2JaekKC3+8uXW6+bnG22xO8EXmziR6PHVmzu53ejvQ/Ei6z1U3xyW9rYqTb3UmFjp5pRVeM5d0AlzvoBcl4LHshGzo9eyExelWypaEd7Bp+OfrTs6bV6cGuZvabnWa7xdM2qEnzY00FvxE88SP35doWtqSpsBbYEceYgiFQ7XKtlwKohqxRzqYq0fa4nvo/kQH823/LVvMwUdsl1r5qWocwdstTvg3737DchSzboyxlP6WWcU4viOswG8F57eC2wQRpPz8C8MlwPHyVXc100bpZ6qyr4plXmGj7OCX+QqOrs5FlY8OXkwnZXG7lxI3jwvqCD11/ygWVVn4kpO+7P2u1Gs4v5caRc3qxtVcWJoY3SvN1wRDuL6Gyub1a3ulKPVDXnQ4QvJ0CNT05U/ibfVmJXdtrFOyBRlDjjVuaprqe5YeBQwCQOXZXtmXbO+/Q36p0v1b26kXicQp/nM+ZbMbOUbits4V/eFD1fbV3X9odZTpOlHl5vnMDVzWqO1cII13wuwRkiqezmK1bz7JMzXqu+t4BJQhtrTypQa3e/2EQt9EJqqOFeM59BdYCr73EzzLc+C6vHbANUPP7wlHO4Sgvqoap7sVSBYxSc2ePLciAyvnkNzp3eBpj8m7Ni/m2pyKJrguhpBgWqhO9VKBeV1Zy4WQA1pOKiaGditAGyuk6CjNcYJTxRicfKiLnV8X0aU9U40whfFXa1iyqJopMXuR6gdpiLuZ6nfr+7Iwc337BFB+WODmZdjXJz1sJvyZqUMJwxyAFaDvIwGda/Tmq3UO+e9/OdAyS1bL+VgQy5XNy6yxQff4R1zaciDzxRs6eY75EC95zzDYpiizRyYeYmfpnhFby+96ue5xfP0UYM5aWVU77bpxnyI3TWcgyMgBsC8Bx11T6/rygaf90HEXyH/0Z+wyv4IzEkSSs9cUICkyPGOS+bb1S7glx3tlez0OnxyVp0FsLv9zB73aS249oXY4UgC4Lo9vd0xpQQOzRuwMl3X7tVHTC5qrUZVGkwB911Jz/cumRwfdsRdwlyMfnadIHy5XbFURXRdD/5dqfisMpmm+UtCFcBOvlxt+K4iuqHD+3m9gibY3Ne54MQbxOp1En/80xpgykTgPFt07DZHH2t/jvSKyRmvA4IunbydRRKMa8jMfOktypK8E/P2N0pNsrN0ULZ2g2xcM9EL09IM06Gczzmwx7BI9fmcVI+Mvv23lQUs4oYbBfm7SuPdP5vKcgExiZWYCAEkVTffdes/J3+bwj6DEb7YNfEt3KNH2msw9M7vma451kPwc/dEIFDgU+D0xbeLjSeZAnp6xoHJIT/WJi68h9+mHFhPqcVEvn5yyYTQ40rO23JnAC+tVgrxgZ40ZyqWkM3Ymys8EJlG/KlmNVgxUjevQVCcdiJ4SFhqnrdCHdRemMM/7at7z1dFjbDwXD5Cip2dWNxnGPggJkOM4EgYzXIpLGmnbJdp3CnmLsbpO87GiV2hIyFbTJR3IFyty9zylsQXC/gMAcKeVZhI7dfP9+613vv/nCLUSSHjnHBydVoOmdzel5cSPurMzylH3mSxxSLP3BNJeLf2TMn4r3J8rPl1KgrtccaiaKTjUL7hlR7R8/bYJOd8YT3xrLzX/XCyFH165lEHdZ4emEOlOH2TUL4t51fVeskhg7pht0ml+0Zbye3NbjbV36DvVEg5iDxT7sqKRU7QZXGp+gXAp6AgPcWnDQXfCoZm4zRcY2G133xqd6LfxvgbmGhWLYY2UNCBnNzqt44d/pc1J3bJFg13JkLSOr0Z8Gdwbz/3LAO4p+LLgxyr6J2YTd79m0n9z7P/9szkloKisgJzW67cx3Eml6m8SAneSM5vdmZbmcKfdnXsDoVNEfaYgl5Q36A0FBPkp9FWrA6fmHIEW/dgEbykII0uaMQPofK5yJK5xZ8wArTM3TvJKGavwgFXm2Nm+hE5umVFFi8iGjmDmqAP+IR5v7YjEmsUgN3hfVBqHzwly97h4C8MOEKwg/RyhMx7YLtAecdoT7/2T+oxE3ZxSV6G8IW01jkjvjx8zDSoaT8CY/+i6nx58BqF5yu0yEgc+taIR7POQ6vA1IwNHhoUcqbjbKyouTiMNV6mTN/cRtBhwuJN7F1bROPZzb2tQo0AuW1AkVkc/3UNWB+C3G1W/aeAc0ho8LV25RHpxTOmAur/XW4UXkwewsITv+vCcGXEPxSPCK7aOyUpGAhDGBEQ0q3VKDu524MFM6Vtup4vh6LofdN5643JeLbwgLw38dIfcQGXKVElxIwZv8PErPcGHP9drtuF8ELOLb0Xa27vpOuPbiEe0/3wpDiJoLRIDyEFwTkfnlbOjyy14kyWuFeX30L44lJLr0qz4mlZyYN0JNMAqoVxm6ZKGoLzRtWyeLr0BM9NzPec8vpwq80eQNT19/T/XnelLZQvlufz9n47EQAWYuQYceMGgtG1+WRuc1HgsLlByrBoNd7sJV9K/HlVvJTfVfZ5ajPlbLuwXhicAtW152wzikB7ZTxIjfd2r113+0R6Gc75mfLiJFTC0MFh1fnVKMjbc/ewn5SUvgitMYhn6XAyT6nuXnm28n8ypxuqZdha3wVuyqTG8vkd9jvDB4qm/TZogJ1qtxd1hMEZ8wVh0htwdqOGzPFmPNiHVy8vUts+fmtm0SgDvvGth27p842F+OmTxFJdlWT67xWdoi05KcVRPM4OF8Zl386v4Z8pcKZzE4vasUD25JaT8oSTQ2W1NQbRKwhLAbS5kh3bfcVJMIYqpxflkqgE9LulhgFdS13CIizS4fGPKo+Dgmm3n4dEJAVP4NTwUewRc/n1eF12TUaz+Cxtk1j1fag/73r9AXr1re7rsEUnys/Ob+iing9t1AHIM0erowYxQov22+kL2RA8433GJct56t5d/ShhlO9gYxGCPS6QFUyvxK6ZAFkEWoEPQYHBVrxmxjceqa0YZwmUGIEKLg9kPJviOfzdpcmJ7Q00H5XXdXV0knSndSLoUnlmVFqqYAK+T2sq7qKZpF0aAUb3cdXHLZw1e6q/Hf3zdhQQL0+YLpA3O/ubHJWCqxIPASj+c5oV7vs5P62N60v1VzfH5+Ocm4RCRmPFnIXX736xlIKuIx350JtapqiIvmqiYSEoje4leW9uaQxYDvJSxglvjgh71o3GG06pON9KzsOy6zqx2Y3+UZ1EzETdbdxN1cQyen9m270o1u5NTWDbPwB/tUopR1EW0e3x0ZNxc/L8Z/XiTv4hFO1fsbTP7GEDHKc9RF2XXEu7qQU64U3Pj2VRibMzCohZQ32BFMnr8h2Ru9CS4ioydVcHkTiJ2UGhy6tKOOPmpdFEcMDE16eEgPqYK4SsPWRb/PAE3qN9je43rJmp+j6z+W+k1j2pEqOt9ymToxfatJmpW253kcurcPDlwBUQOpAgEPYZc+5VeJb7FE/3b2eyunGNyUqP7h4Z9jacJ6yH1yNhbPtXfQGCdXTycPq9Jou8YbsHCvx/MxZOhbGticKCqx8PGtMFys0dQtI1KaHOuiNA3uWhz+2b53uv8au3GyZcHO+5kDwyQ4lYJKFLYKNqK7lM8K3BmwFNvHatYFN0CYs2LPcmpujYz6M7c8t2vtJp+7ew6wLczVDCRY1eTt1JTPKcriteuHYCj+UesuaC45Wdw7PL2wiQmRFKGgdUe5ezJcxZaxS8q/LBrLRiuZetXZ1c0S9BN0TYNx5YK5Nk9STXn6H6eY8ed2JUvx1UiDQf1G8kKvxMy9nrG1mJyyJybymbe1QtpiJwzX1fDbNUVYZOQoMEzfH9C7++sSgihmkGfrGWVPHdznapDIp6dZ4KmU2iZynYcO1e6rNqPa2ut/xAfm0HEs+ZL96xYx4Lm3S9kr7ICdf7bBd8myXjGfeNrAN2p5sj8CW0nybQHolKHJwsXcYHn0S7zJeIqp7CnVu1SdbKio2DqVSx+p/KOOUC7GiEF/xohEBQ1vqIFfMdKrYi09I4O6w4/GJV27Owb5x8Wt7gLeho+GSsPVG4SNZGsmUuO2eM5uKkfgLoczm3WNY16ZDsCam9XvehqhBKxfGoXgziog3rPSg3GGP0YkYjzNNWvUquQvlftbrIOPLZoapd0KiIpPlNLnfWS7tjELHO0UGCbhEYyJNy2t2FnZcYXR7tzIMO9dYXK9KznV1IxcWxDODG9r1i7CMfHOvyQn9n1DJ3p5fhk5CT4/6maVAa7c4DSy3/8Ic151d0No1lpni9dkHWrtmcKIC8O+R6GdWA60dz9/TX8ysQ2u3IE2lvBU7+xxI9ygXBvGnl3SBs30/CMME3greaxrMHLi1QWe4mGFlmNZI5WLkkC1yNgkwMC7uBVwqdybrnJOtbljuxRzj5cMRdq77DMVySotVhsKGLpz7HVmt0liouIynXnC4+YWLxi5KiT8zyxf9kGgyVC6PFIu+25BtuO357Tl+p42+tnCcBb7x9XNhfnog1bFWP0U0teqTSHmuix/7P9VxwYMKHuDUgFfjNcOCIlCsH25SjUnnYa6GXbyar00QqiS9RAYLeCAH1ns4vP7Z0BqIH8DXlNjNFPcUb8FQ6+437KYwLXA/2PM4vyi/pPu5AYOOGOZHmjrMBevwdt7pC+HNDwOZBDDJe4c0d6hut8iMFHgIy6Oc+vkeBBjxPsCWtdWmtWZmJA6pO25/dmxqyB/jDrSSequat/d/TeIYLYH6f89UrG+7xzp6zBcJKTNe2udWi58Vq0GP8X6ttFQlVe3Ccuqpyh8q4qW8vLj+B/gGHWieaduMqr4mRCJyTj9LDCmkM35EEqyqgNvcFvbjD8j/uPx8bqmpCkvOmUP1uBaOqrMeLLJaHwD7proKDvccSwp8Jil6BXVAk1JYlbNiw9ff2xqmi6q1zMly2XpWPrMzo27kxRiPaMZ7AjPRmIjgQxrm+D7l7rNHlzX+1h/8YeSsiXn+ZszffRO0Pz2Dd1mv9ucS7be3GhtXSoZxYLaRmnW3Od1tZk9t1z69XU4VPJunIo9OUAK7ErXJuf2eELXWADSWf4InUquibOv6hWhcdS8xJ66lD7+HA4N+RFdbZMzqYn1GWCihVDkP2tH+b9UlIpKzeC1xklySTz4uG5LjoSmxG60BgpvoqJkJcRPjvP62rmxK4Ocmvq9/jMrhG1pQF01mi6PAE8ScfAXT7f/VJ5NJWczYXfCJsh5Li7HomgqBp/qG0peLvDIYOSllf4lw9g8f+yB5V67EvZYv28oGv2tv8c7/xVW1C5cWtue13Kvjn/uL1qKxx8c2+3OdOIhtvYEqQrHV9yCJI7t5oemBpb3cCqvievcQLyP5nZFoew5L+7T560fyTl/9u7wUvgiGf0v5i2orghVfTpz8LEq0TeXXFUd+/TtbdZycdzVzrjCu0hlkKvijDu3ieirmJNAcJe5k1nuYs2AWyf3LX1pGPOwcd4sC29N09HWYRSaYBEFRscJEOxB/XYofrZi61SD2U2XcG5i2259TVHTP5t85PC6qHSuNA/yHioD4JHFiZcvQWGmSX2XE0wMgvROVX1yWfyRnL5cTGhWJ2kjidvmHhxwjW3aUSsZiZqfT7OflL61Shq08f0RLWLzgvBg1bnFdYROzq7RyY185OwHRC7k3hFND9VrZ9SUbp2P8P/bZns0Kjw2KYfLFu12TKDzVPeAmVMGdJI/be6rMnBsKdMOg/yLWDvnoDQSjZ238dYlD1pTh1fiNRkyLlxiVLlBpYlDq9j4oG/Vbz5bi6lXzKRE8A9xdijlYS/aRTqb6qKLWZOccmDklz0fugY1tKiqrW2CV+r6cNj8JKKhqWLbWs3Zp5nccqlHtLIyBiZxfHnI610rqMVG626BwxQZy1C6JxH2V6FMEjS5MQv2TA4c5mMwAj93CN7I5Dp8RrqjeEWnA0urq03PdTOvluwjDZc7erXIHPddl8WH4mWhPE/P6/qlMMnOWitP3krNOg4A17xFqVacpeo21sewgrGScYAktyMQZygW2xKyWns5zZOfyD8470GD5agyY1ZpGkk7iKA0GWXhs0MyGkw+IoRJYaZyRVgEtfyK1mu73pTnaJArxi3XwdYGyvdCo1XJRTGUQt2GFG5eQssuxhciy2TkmJ5X+2Zfc2aymFWHvytQJDTkXSmbmdoi54wHjhOBxaqEJeobN9MuuiJbNwxvhS4D2o2YP+EkAqQr90K/QZeEeQ47qpyJ1BaUhxmQiCRQiCQYT0dJLLQAshFuWRPeu6MPwy0AaFQUJ/BKnI4UJrbh4//iee/mnLYeGggPFC2OJsxniV0aUgpGXa9/Sm7IaO0hRkn40wkp3+h75v4t0YFU+m8sC9gxVjdA59WjDi2cK8cfC6OEz0w6a1KDb4dGTBvNsSNsh7fsldDwcpBhlGZXuT/MaeoU9dG1w3ncZwMSL1g7cTMbkpivNHTKAw64RzUQwbEmUPGPRb8r3VpQV8nB2s/Jqaia2kQdhLoP5pqZu6CMgFDrhPXoqyPkJNZ9FaRKqrZpXmub3Fq28O4U3KK05qzuo1SetGtXbmxfH1M1jHNTqkeTM4YmBrqHHufLhzKK/yoqCtsOc2yXEywz5/gpi41Rqx7lMtzp8lPXOULMSxlNyyeGzN73XaytGOLydxJeastt1xzyWGSJyEgCWHuLIMHNRX7PNV/TO2Pjtz6ucisjTFZckJNFx/zpMC/Ieq8y4adhvF2cIVieilU/pQIgqURUr1DbVli1u5K1+BHsUy4d7xJO7MSyLZ8Jy9yk+JmD1y4udUJPJ3HpGZCV2j2qkYVGEk+i3NFwKZeqJ/KgXhjxw9sMqV/wSjQFmKQnbGEKZ4kZnthlRNhF7vULMXs8eHx0OZb7vbmfp4E7bbc5MMSpRdfQbAJrMB7tgYE3b035tHt0tgnbOmT9nWXkxrAg00EXwB3Nu2QN69L6xW3kKmWBaC3qNy0ttzp8puSLkpUcMdyzWKfikuyYHxfTEbUyBKBwcuE1fp7mc19RE8xAQH6U7bLJEvjdQD+hT/eJbtRockSLZ5zgqbWDtvNjhctKtw3aIHl+bzIhN8Ir6ikP4mY7zSkQuMfzNiZecZlZyNPXQnUlrLo3tYC+2vr+1KnDSCJkDrqfW5iDtFsBXRWKWJsNrJNSyAWvDohY7aH8gwC5fc1ce1J6li+nwqFqNt0Owe8IyjzilZVXiqpDEAF3L7dSDYTZBOdEAu/nZJ8teZB6w1NGvGncqu8AZgpUQcHBosBHT/QrHujUUf5S88mpr2UlvDoKB4APXVJRLyms06x18hYhZBofd8wJfXtHj2cCn7ivCIGS5dhr23heB3yKTb7fs5L9CTwxWmbVo7XNO3VItKnaFF1NcpQicnZF7PtZAimpf9ogMgVAY+jWynxCurMyepcjjeMKaxew3PPZaEHjrPuouo1w6/daIEacnoPKXP0p7kzYudv5/hsA3rsnkyWFroEPa5Z8aapRcN3DD0S78PfWjNSV268R+9O3eq6jFiw/88OxBioYPCU+gRErw56mzLK2FbtpLGg5J2hjEAgmsKJRcwIdk0RkNQKJ8RjKrUwAVbCDF0ULm6mYrdaN34ypvoSmVYyzggPggu6usfXlgEVV7xPBCLwwmate425TOYYuFI3BCTBYqf/FUmY2qtKHG1pt9Ut9fRVEyIXAAfcI7gmZI140pwXno10qPXR+ccRu+wJdwosFClmGo1BxtqW3WcEdN8TE4hk+Kvk6n4Y4z/YhCnpSfXG4KtznkxcwQznOL8VdCYiWbza8a23cVwIa2AHnCsF6iGi/0ibsoQMqsc/4yKHfHwI0OXh3HV+BWTj4vjchZYJA0EboDyV4XphcOuQA0XwtcB46rCRwsuX4tfB5sFYxZCjw9FejCGCBuH2SpEySKPXa7YjuWNumYfWHm+awbQ8r4AKmAAm1iLgTr7k+ArB+q0NsdrAGMH7kYihuN6wyN4Q+KblrEMPpMAW2ebpDB7cY2Zd5jyB1qCiPPrEphTKxnGqCFGd2Ri1qaB7Fag354rBAYWNar5Cqsx7YORgQ3yXW/v5Ridk5szq2+R6Avay9WZ4pGhDmEcBIdCdTz0q1N1uBuVaTvBmHImReL7AFg1utwR9isoFSkRdULPIwpcj7G9oJU/xPmwk7wLCGanyH+GZ0lB7PB9F0EryFvuvNjswnOOQcqNkZqWEJTBYOTCUYNDeAZxnYfxgoQG5zDd0SqX+DvnTfCBQ96/6p9/wLXZy9j44YfpeMBCh2CLVmGWAkbiaX3Qn/SeGdgffa61yh5rPXF5fosBT+YW6r/ZZWk6+9QgLLGXbW8hB2GMOOwxp6OTulz3uHDWlgRSD/TiCQEp/6fbMTD1l9/nhPkHa2GzY1DedzSYyjqeo6IYhoAr563XFG3acW9TPtwpphODc4UjN69x0zTMQ8ytN32ULOp1M5Jxeu7/mDdLGGlPgWRMnXVxtnFkkmjRQ2KMn7h/2ubIMximQQWUEXjhFksxhG3ynoE+kUhK4xnv+hNV5s0/N8p7iQU1F1Lmn5sJuZAO8D396rZxVMH+qgIbVRoNYR8WgpIknX1mxXGBRbCWLdScAwAHszhphqoqU+pg5TCcnXp0NaS9BI6MDqigsgZFWIirXbcK2nt9V9Q69AGKtk7Lnr5wJhgHaA+RP+K1ZzjcWk1awCsfQzvc+amZxkgd0anwbzh1jhhiPJqhvSNYMKPXzbUukAXL++LadJx5m5TzWG8SAujDZzqQrR2NAMsK/+qsi0ughG7hW7SxZIGJdZHji1mgbJyXV/FXHtkYYtgoZqHbVh+qOTnhVbySvbbTKFiM/qbUeLmRLU99QBTGLpOZS4qXZZeHOoEt2nvQm+RdgHgCn3Nx2nylFa2KjaGkH+lrUFlvu2CYl/eiauESvwtfY9v9DgRft6Ad1eYsT7ZUDPXteKcAF7Qc2OuXaFUXDKFKvxNjdmtfxdAiTeMfK62Xx1KHaJ1Kca6HoFel48CrGkGWPJuN1ckvFK+/09KTECQlB/kMNHdaeoPx6IxidqRhFgSAyEjw8oxe8l6CxrJxfmzACHQr9dydiNhA9yNcAuVOXmsxALD0+JkMlK6slX9Xq2wbNGaxp+vBtrs1fYPygurNJ5A2gKM8MJ0oLmYIgQjYHuzmjjDOK7oFmRuArpvk3JqJ62VnSys+VhDHhycIjpUq3KHiX+0sqYJuVfxeBTurIl0uZ8vFCPimgyuX6imgH2Q7pwG4wNzZ9HBSqbh2ZqamEA0036Uql1MvEBaWRAh/jYUSFzemEPSJuPGR4Frj7mU6uNE0DhUrS073SLFK8lrtZOAfyCGxNCfPhjFyaBzU9tGhMr2JXTHY3egg4hT16Ubo27cTCF7sb8xjo7Rcoy5MyG7jbt8N6ZvdoiFGOOGf08Lj6IovouYp7pr5sh8t2A9WMTbDDYvSCOHiUcTWdYxoSjSh8aUsApZ/KQ1ovgyfdl680sKflP8xWCTY0g58Yta+BVPItNrSZYAuVh+zcjL604mFJg+kEmlxAQFCILmNeqsUljs2tnMzbc44c0ec6NBSwyXpqj6I+SjlTDssEVi1AASdmbKV4Uy6jAEIJiuGy5h/T3Lo+L39T1pd01joPPJMXbbArUUzWmJiTiV1BIx9fzMNcS1xXloK/jeO+Vzt2TWUdbUqKOOF5fhU5S1zElpmCqPk1qMdNGKhCUcTFSOmXEOS7ommzt5WeE5XTPDHBCpzivUZT7IaqQdiw3mERepbCoxtkYLGI11Rexkx6uJmsIIPF7JBHEiTpty1YQQoLRp0VyffICylF+LdpBumiVqEKJajytRiAMuOYK5tGEyyqmTLQZc+/1SPt0Yb4IWxj9w8EeiH8eVCGerjpjbPLkJ3pu36by1y+xrDkUn0vOEkdqMnF4igVfw1GZvqG40wkElsRUcPEyTHDiEvYhmk92iHN1KcbYwO6gT7VGZ+1o3XA+UEyYSJ2BrNXC7wC64SKOXoJLDVPzvK03zTcgPkXahMSXDVRAVaodvR2VSDj1jSUVUXa86DABz5ERXQWIgn4o+OfagUQvplBjC5DBW5Dw5/aiCYRVkyQUXSmP5llj30NjRmFzie2zZrhhb2fA6++K6L93yOm4k4VtkQpBFS5N+XqsOT9/YQnqwGp4hPgLkeSOMkoFvYBpKCIZdT1/2MPBBwFc4KRoSoGSXtHGlzID+QGvmtB29B73LJ/PCoXpDAQygiCuJRh8RJqzLgcBOdim3D77Sr4AQ7D9N7zt6UCAy1FGiYRaYbXjR92QW7zilvtaQJICxpxgKQHbcWXDccG7Z4grvWuKEgGpz1kR/SAs4aJBoh1WEoXZw6plo6yEYI1JFuW19zSMy9kGUy1cRqpx0HOs6uwfcHqU9a+RUCEsYD/DEyM2Tp8YltyD1XZUHg4xPwYhlGsfU8EcPx6YZwIDb+JfSvs+8EokZBsBeVcOe6MOShnsKmSCZZYS/GYgH11OMtBUqP+eTyvSVXIizEOqptH+Ba0qdx8zgrUn5nUAB43dDv8tWX1or2ySe7oaftMfUVozd5gNa6wSzUi7s4IlZtOOmbrutgnE+OkVcERJUBweXBewBB46fB5pzawYNLHqn1Yk6zEEbyJcqIY5r1ixVTx0fL0cRFmALpL0mFnVYl9FO9FaSis7op0YWIadGQJJBhoWIdV/VPqwsNQsx3V0qwfl/W1/fTef+2FYzLs4ZsZO/TSdpjWSns+FdeN2l161kwIWR7+FZL2Sux3n/TFR3Sro/j3rqac4CS6vtsOlk8XSmX3rdZ530RbP40Rx0tYkgkuHpBBrMHyxx3GuCxzJLxedYqY2pxavIQr35t8x0dJTCxeFxgxJyArIMhpiiHyWggl5MUd6ZyR6h+aNM4k8gafsWrYKtzRMFL4Sa6+HXwziML281YHOHoe9eMKbzGlKFuoXrYc9Mf1zxBbObTl9crxlck7Pbg42/BwW1EjZCSHgghle3J7F/VP+oFsWBMGK9lmyMCySP9ilUwyh61u6MJ8CFh+zH9b8AkdQeYKGyCwTUo4xaABWduBob55pkxN+6cfl4V5nNtpEICuejY43Y0qpGTLeXASKwTurMCBEBhNvqclC3byKgbGDPD8x04FdjiULpCl9PeExlLFd1vkM12ujE4vNGYXKmP4DkuQuQS1QguhxtNqn2tFnARxc8FqzQXTrLDq+UqW1coELeEvxEz8TIbxgoRuvmYD6xmtsIn+5sP6vrsQrh/V/L6ok+zam/r/yAkx1oNqz21cXob9tgnFT6LfBruUfAgNTRiObzSWuYx9ZlZAfo5dMS5ZspqZEls+hYKc8R/FpGGDD+kCbfgwhpXEl4h/NJre5/63T5lxl5tRjZe3nCsYSwaMjMIqV7tQgdakxmWMSBS/Bq0VoXVnY5by0gwKQOdsgIRNQ9NfcC4tAZy7/WTKGYwEf5YBJpah8qzlSTp5rfnG3+Fvj3hHCwhQhGu6UGdMxQEgl++yylVB5Gw+XDU59Qt74ZOwr0WnF9coGNNsgrjQRA5bl7vHk8ipe3Q3ubM5ETyjnSRs23v3/Fo1p6MQZ86dLy2Yq1fw3tDKdRsjNKi5OBa2zjuAyDTL67Vq4bt0fvEkZWEPPdoYq+au/bYBQ6fKdYmvyepQvTkRXUlREwNzAkZceodCQNmGOGpMw+Ig5w5C6a/lr74wBv/OVSdLJoA9gmzdkHC1z54iOCOWz92YSYXKsPH4qaOjlPCVyc2rmRJozym7g+mu1Nnx2Px6O/rdd5s8+e36PFqM9b/DmRjsGAehEsCw7WeVd7TpVdlXNad8zJ5U7R0BPVGKDunxjRF3Su5SywDmzJ0UlJi85mAKw1r58MZ1CxUAA68Qi/SQEKVPoZHhvlrE7EIxW6LEcmYLO04N1y5MAI5vssImk5Abo8GWCKmRYXWzz6RsLVC57zePP8SSF8qexxyLrWdpLDOQTSZOh20rikkEso/38K4KcC9L0r8J/gCcGHxcvEW5YPOy9NC90wZzgyA7zDsvAx1A8neLNuqx0Howx4SRxZ7VUdSkyHsf/bAVod065C3EHDz8lysjB69h4xoo97Y9FnHp4mxX5Wi1cgpKP0rNp5+4kLyxZhVEXgM3gkL8rFLcm71/LL5LoRPfIr3vLIr11fGRu5MrNLP5t6tm9aqsxw6Ha8u5AFPMi1F6IVLMc5TyiS6aMDJMxlv6fMLKduX8ujR7Jdp2nkSjwAlICVkbfsUXqrzWsnUE6P6aminJTYaGXmb7+/PomznlFYgg45IEtwnbF2K3CCG0IOhgADEWwjU18wED5IXwNWzWpGaIdxgMW+5hx77UJ0nrkaYZnnG6jzzs1/NFSYhIhC++sZLKS1ss8qOYhdBnT4EbmeldZOVhW3mMl0LVKKGQoZSMgy0mbzgVQjmQXHLQjBjx/q/aR7H2VJUTKAx0BnmHyfQIbD4u0p0f7HtCUcXNiXrRu/51z/D3ipMuDwEzHdnzcAfLb7wR70DnIeJaEHZowMMSrr5JaD8/dTcc4/7/MKe6/7B3LOVs4uLjwYEhVdHP1vlh0oCzOdq5aym6FOSsdmxCib/1CFW8l9LjiMhpFcn7LBVeqjg4WW6kcNYSlxF1WVu5H5UCu12GDtdjHa924cP3kIbEcKuHi6fhS+VtxKAUi1wrA87AxfGEMEZ9k2zC6Csql/IAdJUjPpkkzQpu1ArktEawzw5TXYTbdp6iiyQTdQwPYDg11DQPR/rcG5M/Ux/xlmp9KlC5M2FHNQO148S87XU7kKw1nZB1zTys7+YBLGIJsx67XO8lWR+8ckV7SJI44hi9pC8OUIV1m/Z0ONS6mTkoNxdQ5LLWK/xiw1H4jwa8UHlVeVcpoXd29k10/3SHaDY5i917nHyXIoue7SAzn0e6S0c2ViE3wpSGrHIpWmX67hJVHqI5iLjEfxjWw+N+6NhcZB6GP8ENamBkXkcMfU9kOXUTOteIM8Sgz11bjk/Ewsq8W3uBViJsv6V5d80AqCRVJaQt5kCWgd7a0/v98PpSHvKP8TKjhCOQZsFZZaaJn4IYixX7Kn6NUVQX9U9nsu6lX2FY8O1k+wr1+vepPp6MpHv6tUPTu78hz6FZCjOv63Sa5211n9Y4VVF123Hqxc9ajsP+jORARz7APmfmG7IAKONx6Dg/SP5UxYTOrViH5zBVBt1uCDu8kgFHlVGW1/VX4uWEOpP6NyryIK6fEYghFCwNa3PdUyvIMUPKMQ5fJG+uJN6cvofL+O/H21KhlXnI85qLSq8u4tr/u/4uHGW7c1m+8DMY42z2id6XEbYd+bGctG5P8YIAzmHzF8YMqmC2owjEz+wuC8ViVFI0NYwQVghPe0GH1dtWsa2Sq3U1DsHlQ1O+lBGgV/HYdfAHJuBkNcckQY5SEtpYMXE3FpqNC2ip5aCSBDO+gWveag+iEXb4Mazs6WaG6R77IBKUqki46izjnInX9yJ3F+p+Kg0AOpq982Cx1K+4HSTz22bUpo+1GyiLcwp3m4+m6BwpZhiHcb4f+JCaeLzBPseliqpLSMdl9uwJTWSDsPBfPoa5udrEU40/cljUD9a6mo3cWFLNCw03Soug9vhykDqCuXU3AFIzYm7z6hzn3eipUUly9h3CsCiyw3bBCJrdycJqD0AhEQjkCQEBQC1QETK46ENHgMkN6G/LpzQGmsamsyV7XOsvUzIGWg9JWkFqnIiN3qob9D5wV1R6HGju2ngYECsPW2K3ClMrBgSOJDVTlMSgCj/pHEe9o6RM0aGVrjtUXMOgE3Jk0mPSdbLWkD3gjJtSRHjWNGjXUclOa1YRkKLGBecFgSbYae5wc72FLpHcQA7FsXXyvobbphGKVF68rrENzlbUw7SlnD6tmkjblQYn/+XdS1wt4xJ1pr/c/ueeKMumKs/xaAbZKBXDlbAKl/tv3/xjxudr7EyjQetuyePB6emrkm5EHiS1B4CCQGD1BiDB8XbImZ6TVOFtdokpQHT2Lx8A0bF1Rm8uDw4PKQDhkP11TwoDtryHnIRcmDesXNpNdFPISSigdJdoqExESsrhdyTVIz1bDY+qwo9hioUWtiN8aO2DasMRXKMr+m9mBIgppPJpVYkk2miaGYDy0x/8oZ62LTxpS0sSHWx3wmu4AFkCNxJcGVTAKvFJJcUkoi1qcPgL3hLDb/susVAuVdUb79m4NGacYzVT1dXtiOytbm5JqBeuvtxuv7cg3fPNWrzvqzRf/tczZByDboUUCkEcIsqsIoheS4Dpz10rSenbOTDWqUv+BO7ndxDARjDrv0mtyHAmSc85gXp3WXqpIvFcM3S/uXHTDYNGxJQKmUWGQd+AMaHvvs7LnuU+GaTVxTvF7D6yCWw22cu916nPT4wwTbVJj/RnyN51822GtnGpaq67qa/G2Hr72aesxhzznt5s9RDwI6vAgzn4RjSeoWoevazesw1ey2evUCv0JejK6Ti/G0zFwW4+2/BFDApbAysLY3ZYbvgm08rdFzXhzNmjvIVz4LfGWx5vnIV4xh+nma3OUDcbiY4qthMfSD3inLndSf3Nmag3LfRa9ucFW+w+W9kwDqiHAIXx7WHfiLkQrCOuKEsKjYxQ42YaD1aumF707sfqrW+DVF94KH7yJaVrF/FyKG7KgYH8NBXeKzM/bhMH4zLASwtgJA0Xv9j+Jt0UncazQBvSEqsNwxkYSGAAIgZgeOE64mqrrwF5F0ekewdMdDqg63s2E8FFqqVnLc4S887+I0uVy/beEgD7/8rO5+32HsadrTgLKlIk6cej5xmgXJ6UckJ7SQ//HgzpBmiBWox1ZkPSbUGfc5fOO97azBHaI0+LtTVik9f+1hEMpBgD8nHYQJwz2uyJbmwx13r0NVO7qSguoHv0b+yG1VwAfytHTYGKMH9QtnDYUN+GLrC2+9OGrYxtB6T+PixejNm87OiUMuFc3Z90MDQs1QKNyreNazY4S7r6za7XcX6yUYDwER/LamgCmJ5XQwiCBg3h4yD6+qwnUADZD06tyx3K3q0l/GbkT5L+GEHry4U5g28UEVyPsOPfTiwOhUxdlOMcoXG8ezKvDYVsXceJJUH48Cbmc9/dnWWcwX3DV3ixFnmlSXtztjuKJKKVThMBryIRf9qVzCHb0GKlWZPxw/YaZGoKGX67Z+iBD43ep7EgkijE3dMsU2MdfOKZOonqjgNRwGByH0hsyxNVjyvMhASlJyPhyDSYoTIYHsWMQ2ovbjvbWORWx1dpQ0VxjpkozoLS+hEfaY8gZyARsMC5rBUh/ljOM0Pozva3/xdZMUTOnn33iXRP4wUN+uqWITWJ3eEtoSa7PV9lK3OvRMahfgECWIB9hx6s705LCgtn5tmRtjJ9KHpTp6/A++IaLwvvqBKj1VkML5SN3uFmnVoUsR1rzBScWHzkzkF2nVbwrVRVrXie4cbdu/q2CO1pkTiB0vDN6FOqMYCwxAPKnG4xSoEUnvmVF8ADljEh+dSe2cx16AQwi8dz0gv9N32orAsLttC6Y2M7X+1O7U8E4yEapM8Y0fqCqd0TDN+PC8Y0kMU+jpCRysZfhVb/X9AvM6mVtDN0+XUi4/0atHlYjo1njrvfUOfeHNro8PP1/Che3G+jzKFV3Ilg55Iz/BY/DzTxWU5PeCKz5YwoSZTRRx+BxDJD91cHj3DPBFjtVOQEBNkVanjKPFSll/omFPjQyYfWTXxuA5Ehh3CBTn+mtCtHz+60Gk8NU3uVaqxeI0bFtysnKVrCLzSMTv43E+gpusdFRcRDDkSJoiG0+TkhrLYf1UUhMnLpowG4VSAuvXlZKMFjd4Q5vzZLTi0u2loSFAhpheeoepBR2UqvpyC+FXBxjWPMr2fEaX0TKBgAaZMZhkpyTlawfBUOfLkm0KKkhf46uokv1ZwzFBFu04FPCztankxc2KikZzzHZi8qb7cfgC9IfCunfqeZJxUEYuZLvw2qiZZLtGCUS2wcROmTHnW9i60W9ZPnBaCRQP5xDpOuWumqlQlLY0S1AJhipNCn951Ijs14+h//fbroao5qu7BE/6G4eUun+8ldNiIHHy74phVmaLKKt3fSecW15KeYGHWfpSEmXcF3kbwhRMUEFYhABQjmCbkOdVAAruwhgChV3N8RV4JbSRSQFyyP8ZVJMHzYfVcpAmeZWJIQ44ji9Z3ImJfcBmwUK/WPA79E9o9y1cJh3RmAOQ57g5AYKxtGsfy7CEPrthH7GMACWN9yWYFmCoIHYor7n7Zl7Q/AC0+zz/OJwYUnZSerbPFhFFRujwvdPlWXyX6dhq58k0GlvvLRpMjjm/S2cgBu7ChuH/5I89GW9gu6hbA0XRaGXcxUlKqNpGbXt9/J9ZEQZ4TKNfvekCC/T+yvJ2AQsJ3OP7O/3n0smXAwjgq4EPf+ehMsFb/3neX+xvbSKE11PDKKndC9uIUDSnr1VMeslMTeouVi1IJUsXmgBOsKq+uOsK1w0BuZWrJaRLj4U0q/SQdXP0JVceyeFcfVtbt8+F3/fitNu1x0laIr5lpR999z/nSGAzbKdybmOOszaQ5CwMCBXQ91cisPQLruVkDOKPn76jhE1azXJNqe0rngoyFZNwLqBh5KZSlr5wsNW7hAHIMbW17VzrCgBUftzry9nevoXvmDl37fAloaPXYAd9y1VK/3T6eQtyrHMlG8XgDWCTrTvA9px+3sj3YR3a0pdwbGT4uKjBeaSGWFvjw1yp6ipyg1891vMB1LqbPiYUcAnumVARIpf+XvDeKcpqxX3iZsJPs89W6noPILMSEfaeQOaKr3Dq7fA+A44sunu32p9pGee5xnKAWKM3WK896FcJOmkJFgVf57DXUhHySxoMbEagIl3yHvGqohBYC7a+rqdij+IRjh286nmqRo4OkpmuFacHn3lb3P97tmtkEmNHIMw1Ch1o+r+76BpS5ePlKMP/J5CnQIuD0C/YUQkbUmuEp5JtZGIrdwBtd2irLvFppH6C1K9OsnR5vXS1vERsjMKhpPYkqhjltJeYSe5fq18BEtbjADdK22eb1E1ZoivQINRY1FK1ZkvfO3JpGlnwYVjfWPmYsSuyQbg7oMi+Kljhs54qlkhF/Bp2oOK7wooMI/VM2gegZiqIug8l3VPQz3g1bjE/H56grn8CnCS7M64wrzN7SJbxnAivuD+db3+H+EwG6p2BjXDTkNSItkllHwxxWRh0GMdDAPgiey1hOCwKJO7+nIiP4vwtY8bk9glzp1lmA9b6XmZX4MJ7/U2duOkBD2yy4Zdzb8DP8aZeneRVlX9m7R3Mj5yf/uOfXy1Aw1IjqnA50y9OwyqLR4zxpoYIPgXiGsm746+BUYdLgYjwpuEIHoYFF8O1NvKrCVYeYlyTqNSJJA4NAFwSsX0kizdgI2mKvhwbohmT2MCHINIrfWzAH/puqjBi76wh5h+QppXsgvRRBHLq6po0FZ5B0iPQ4XbuHpX8n+QZW7HhQFrlccmuEkR0k0GsC03xCTImsGx8wzXuDLXkelwwP1V+lBtbRvxqVm84GVcQc/YUPlnGETdYtmK25ynJ4gs/8rt9KFvNmL+GCAQ95QOM2Lk8bBx+kaxfsjXRopNhR4fumJPCceyxj+SM/dzgPf9zeTCZK8ZrDesFE1wZbrYOPNt59bfxym5iUNFlmCu56W16Pla3Llu/rppWMuvvtenWEAuzBDsz/eLlT2erbTcvTA6xOoMdkUdp6PJNGFp7+vsFetJV3D4Xj1xxZ4IuTVxdG7nIAM3cW4Sc7TptRTYFVD6ETeV3MUxRGGMulFrQWlB5VBZViWCf/zQPetDRT7E1WbQJMP9JCPMD8l9JgpZ9wRT8WfzHbXmqUx77Sr2bqfYV6Z7+/Lt0GmLT5DKCrzT/ICZQmbCG+xcla8Pq+JLY2RC8ascnfwtDBi9cZIn4I1QU/yE3oZ/zGxabaeOGCN12QWUA4zCXDMqtDuLKpBuNes1zjppgM/LGA01Yjkp5NXorNVg4IwO+4zeDuGE3kDXe1MpUEp2SucDV0M2lWcO3T8STOXTWdsW0ef+XgvQAd8VT7tMOoSJY0NVSedKd4ZYwfl7NIvESyLeNJ3AuEbO7sn3oIfe8kqCC2TkfjYbzQ6IY7o4xEKdZL2IGSyXAF6PUV6YuRKISNefchAxOb5e2c7OVZxOzgLpMymh+NKqUSvgkGcxWrZ8gUudumXU06doYW2qE2htkhr7TY7fVjxGF3BOBG8sx9uq6Hq5kDfmrofW4TEvG3zPiJR+/AXhjogdRBmxIJ/aa2c44RzZktPeiVFTg+mXGhN2CyIOmUsZsON0V07zaVuhPgb2TJwMDbz/c9oftmj+DzBiRVCgjSvk7IVcPRilXRqTtTcXdb0kfoeD9VdA3vzjKlLT55azxYpAlI2glQ+mRKCrR1jU2VBsmjK+qOfZM536Xmw2nskOsaCCer9CNhTRmdIdZJdTkRpHZHXYuPl2JIp7yQ8lnMckhlShpw3zigDZGUaNYIiJRichvdk0vOJfKu24hZ86yHz8AxGv2kb4XFHZXWHnJlYxnpzYCsbpB+Jz1LKstA9rl4gdMraSqFTnNVB73bwXo5Ds0snmsvkMbAzrkqAdSerdqFXUl2CwDPXSvYspoC4w8FqpKYCQ98IhM6TCD5+rthpctXOlLLaAijzpgnsmr91/wa2H4Rlufgnrwu1wgAVQbcK6XXD2CiY7rN6WmiZBoGUO5g7nBKjnobkRE44MYXX/45c+1se/SIeuMxzMKpS4a4WJwiKFohB9GVYCUMqA0sFrHyld3/raaB+rH1pi5IPC+QT4iRPlb1LWHxO0OsYcfg42ZGihSXY64tWE9KKWPpfBIyiqygSsZnaXWt8KKbNDwPrX+fnVZd/c0ozW9vzDeo8z1v7AOMsZHD/3uurHM+ZgX38VQlAfkby9XfemTQhgOcc5XWN9J1ggVQ+v1n7gSo7PrncQv7+GabFwHq+YSuA3FUex7cgl2zGgQrns9ho5taLYv7DIq+oX/xYd72WGb/mjT5/fdxwC7TSfvu3fvu6/ELxl0vypu02kqE5DXFbV/EVbGTMkHeuWqzr0q+0WR41JNdmv+QJvhyd1l22wl2wwdP9xkTnt+8rHuiyIQUM10YN3d5a6MnX+avrDDvGPMuh9yIlGHpXLKHue7MWfBZsgMMY/ShlmyrNGX9bPXaJPRwbdM6c6QXbNHrFTs5cOIvu7C7L54pwTed5nwlaFeHu5PF5cSZ3pjPPitMORZJSx+o9LONGSQvKrAkOvQc+g6OdnBpRw/FYjcGJtKA9fH+nIQhP1pnKXh+PAPe0SSmQUHoqZxzOh3p8/mZsK1ekSZAGIwJlJ//LFriETUf2WezPzs03kbkPYtewO0/POA81x8nHlZZ5pNGszLHpYH4ordt6vNOU0zocwamjLbwhi8qh1NX66HPg21jItvoj9n3Ole7SewVik2A2rYCXPjUxmOqVuNmAOR8XJjfZJinAuNLhBTXJPoqWE/1aYSATjpCuuh/bmR6sQO3OuORVprs6bSMmLfZt2KGf5O3Lmw8zN2fXjAzQRm0OS9EZlJqf3kA8P8t/Y+7RTzUGfz8LlcLIUA1NUUhcHpzNQf0fb5fKnuykXyIv4cJWc1n5wXzcdLORc2+MabMwYznhSyqpUIBcq9ssDRwG9Taqbsua5qRcqGmOQ9Lb/X6+8pUcbJ7ZFF09sj1tEdfGASqqrtw2rLTzi/4PDMJWNOjt0wV9wCNYKDvOd7EL6Bu/wbL6vIkWWr0kf/3sBE06rZBW1zSjrWr8vT7fpwZMnMnFx230wxE3JlNYpOPSkyCq5CNmrl09hR7ImOF4iXbYUhPGvIf8mQs9QFQ8SIU1BmFc+YqlyGAf6S75ixBNoFNw9nWpJM0ehooY3OkYIiCbpxdtB324qiLdagIcnXtZ6UttDxcyEWG1J8jVCmKpmeM5ejCOrAx3UKZdxyhaylfVpMpatbz6WFYclKVSMkwc18rrqy8DjLJdhX3BqXzLsJL3ROqV9oivC9faaXLeF+Av/A8omvrhzoYrskcQaW2pK3N8XKbslwYFSKga2zpzcg2NCUNoz6tHHGNOtPIXNeAi5FjlbPRYwUTpEjbnijF/Wx8ZAkoonQcGlf26UudbBBjKfJ3OZMpF55N23sZOeZhhIx+LI7ZF+6GPw86Nzp2brjlnuexHYMVMurck4DGylNZiJrKI16vNlPw1L68ZKMgLEhC6TFVEjRzEeovh+R+4gVz5Jxl9IeYuB4/ciXyrCibKcXgD1FadrH5vZN9AMnNwPvFvWMXyCQPd2+ZCx6IQtHdLo31fGKZtraLgC1L6lo1rYfpkeGmzVgLDj3UXKPy5aQ6j6Mi6WwGy5i1XrdpYzXN8pGk0RgKtvfoUv4ssOZ+QXLCYRqPY4C2mbyYw0ea6D1iyt3TUa7bJmFFX6rK72+R6Vo2W8ln9EZEl+z+LJqFSqjWfnI1rrbJ6Ykx8vkTjmRq9hRZzcch+lQc3OaDbMtP1TaraT4ovt9Jbfi6H8g72dzxWLmkiM1wxTePtZ9CHOaI1Q5C/79Qq8qTbESXv6w9GCTpF5huHCv7344cQOtGfdCyGtjG+VJwy8aErsWs+BbJtnQ+bx+QTC31Fs3QJnOAcGRGV9FK6wIoNl884/ylrR3agaDBS3su1By6JOa9yotv/UO4Ku05MPkmLrL1dNls8SQVsXWnrRJ5lYCBEtOaxSccDMI3cCeb856LW2sLKO1vCssARN7BiOTnNh0dTcfGTVsW+dhUksTT4B+/1VT3Yfk9Z81ejrJncEwYTbgjhX6ljaLvIMVtst2N2JbsIftg5V26FFxREX8UmtD78G2Jlpc7gT9EU5oBmaAbTcRejibuyL7JN8SRwamsYTNKprNaJpynpvzWEsLRfxSlp80ReyR1zmhzDZonIYk280dT4vqB6/BNlWEIZZxm4gY9r2Xw2Ljr8rzGv39UvDB67G0gZm5+OMxu9meCHjvss4kAo5Hi3P4QTaudbJdyHlclD/Ixc3hwosLaYXGwRXvJXHNu/Jnw2Ee7sYvE7gae48rzKE9/FKcVwTgDoF5wEy7m1jhrqdNIfTR6dP7ZEC4MlqNT6SQ97XVUoE57Ax7QzlYPwnaBhFOMg3msSJXtS+9fZfJ5btwGTzGx7afGgmbMOLGS3TF4ZjxE1Ueg6tSmRa0EUQAtdjvz2gfPqN9uEYfGgqherxrnInQYSeSjCrW2HElGityceGHe30gOY4Oq9HhMQ8CdzEvKVDpuYfG5J+DerfaNobrJR3GwkzbrTCisesAZnHGUEC/HTazhCoAOxcjakLlwOwFVVEM6rXo9gnC+0unKnKsTt47mTKdBDDCacJr1BB0+CLpQFCEydShcqsx33qIvV1tkMNWvgOC4TqVtKIgT2HZi7920yOcopBxqJB1OBOXU+CaIgRSUCXfeZeGNGWAes0sd/A+L8eCmFH3hny3Is+O676HyjVpNU3PFfTcAPJWg8KDK19HIe4d2HeI07VrVl07Cf2xr1GKZaUvhchGZQT/puC1eKuYwYc3x2IHI/bdKjt097thnKEpSeOeWjHq7n56HKahwZRp0UrfREqLEbnVApAKybteUl5HwP0M9+EafWjYWmLESVB6Umkcp9KoVFpLlnNRGiQHQfvINnAMzSuw4wr9kqCMHVdojqB9+HowNm9iouA7vr9V/Fu0gaFPgYn0KbA5JuOC9oaSimxF+zVK1Nv8RHlxtVu9/JrwMFIsP+lboonvoTQxYo4Z2kJdwgCJjAlU9N5RQ1uogughf9PL7MS+cW4skuEkvnqU8TbTGV8znfE00xk/j+6MlySCIRum7jieuqPq6L2z2KGXxsTP7QmMhNrxEvubOpS5J30F5qPUKy3SS6PF0UTetRZZickUzkjVSroTNGvG6Wlf6/gg+3WeXGFpQ9r3l+I3rsHAjfKsvaA7TRaWFTFDNDlpQnqLQlk5uHdFzUg7oJ7GQUPpJ7DQCldy1/l4YN9xVZk/Wb5Og4944qvgGGbb444WG0qxGHWnXh53mrJ7nERP3bgeC6gvT/FUCnuXX6bq6oGsN2CUimIxGZxUSjN/mVNE+lnrECZnxyGFsT3y98n+nvup1Ods32NTFemdqf4mVstPulpY4Ut+HkSNTvNRrq0XwRLd+Y6je6nXuGq+j7NOl0CwCs+ybUo3C4pDgHVd+kcDW8s2ytazm65G8flNoYZ/B2szZZS5x7e/Gi6yDxY7EW0lJ5HzFzhgn028fwPW4HG3lHxxP7x9Z817yOSaidZjfTewZbgepH9qMAfKtSXSQitkewSKOsk3e8k0WwE2wG6KW3ff+R7EsBVhB5VmcaOD7+PW3GuHdDr1jOIM88jKSE28ycEhR+MEeOhOhR/CQTBDhUmGiLRZ+C+gD3/DDbBRnsXIbrk4cUZLnW63ghSvSfAkIsU4iMVJeIf99GFo3b7osuODnTZ0uX/0gmMtYtYJmdE4qFCi2qB5KXp82AXFken3jxOyzZMOqxED+h26WZMw+MnGQy+bkkyvHM17+4Vv8c93/ejyzt6Rn3PsTLNNQ7WN6Fl/a7s0fBS4fg8PJT2MXfvrR4S/25R3GxhHTR+YGePDFlf+Olnc3j/YgPLVX0U491GDbeR+Qh01rtajjQy3CwzJXwyrPIEt+dJ6bjtGX4Wk3NhFb/Y7nDjSPHuzWSxZMM0y8Fv1xrBTWs25rwN4718a3l1oyzcr61E00TrNN1W5brDSNT1TmVHprZjD2Aie+m8sbZj/tTxmdWOxHlXNQ5ksmX3k39ukDBffu0Ipm3XbpzimabYTYEnR4j7hPNTh/xxEnDGe9uG75QczOsM0Gy+dTdxPX0iG+h3yi7OEO5YEfZgGa6GSw7YK+Y+dTnqah2yPQZKyVJqUOHTOpvUf1P32L55SWlNOdvCMv2PPXd/4yXqBkBOfhl8xWYo/HMYqsaZe1Vlptoc1JPS2dt9l+cql+ByrFwu5H5YOv5f+Tf93C6bNFzPmg9nqrg7loNUYizvtbvVh2sN3Cs8DqCDrY7V6CE7/rf1i+TI9566gQF2szujErRxmnpaCffc20Di1aKqlarqpxg0oxWZYxRMlNq+0NcAI18jjzwBv1paT9grh64D1ob6cNn5rREAF/UCuNQI2Z3gQJMEM6lEKj7Rg3uEkD2Zi2WOXk7ZD9vxM9826++aYPmpWtp+KIgeV+Wf6Y0S0vyrfXsi4H6I6KOnJCgN0mpVAm73Cgn7mqvYPg+aloAOpsgNqWwIbv2c24bQPzyKFyMZHHbzQORrHg3sFn5gJgfP+dvef86BKiM1PaHSnNZ8QxyDt5Jc4elELTm88HZ68Xj+DaANKsdwq/KRqZ3yjC1K0j0HgBqpJAMePfPtnd8f1O7QJXx6kp3kUWeKTN4nKPy1K0SPpYked5NvxRHd4wrHTNNtpssM0Sgd8Mro4rAtx2XV3N3cg0stglXrmi1qnJtgr/wrW5z/B3vlvr4/kBOcVF0vz6v3dqp1d+DS8jlvAGKAPga85eo5dV6jq+eFvbn3Ed3Z9E3goIRLyoHZDRvyqsWKuaG63MlOX0JvLT/gz32u1vwRb222wigwzWcNXOPmu8vBiIj/2vnbconaC+y4grujsXe94wm/IcCuTO6KBY6si1wolizLAZfTGy+wk1CPZw38gRjMZrHmCZq46KK1P2gGN0cImzdmnqTnt+19mz4GoZJgB1afbnEt9PzH9BtQN4k1PJ/s3eOv3fSaGk8FRMv6eCNnUIMOeO7krjOe9LGc81ueWnd1ngC6vc1Uq2me687vh8hp5xy/8k65G7UJe9Al0cJGkieBwcgEcWoEEgC+tqxvzmN6lbnOPxqY12C2PE4FYqNJ+S2GUCqyVpVHLXwiKzX7ciORjCBypxS2OP19cWPL9cP6l7pvPu2/mkNftg6XP2TcX2rAcrHln7dyQwgB1H6DsYvXspXCZpd2kXayCZHIzRVBGRetE6g7otJvTzqtIJ1u5z7CnFXKuUViXnf4o36h5KvV4Ua8CL76GTT9f63W2JRHVcOS+n8AWav1+Ghu5DL4QDYGFgfBTk36iTcqO7iY1Gj4D1OGMz9yhPCTUOH6e/pFlaq+TIa95iFehcFW1NA+tyAj9Hv0DEDsz71zG0/7Tt9d4/cM7rC+9hvjdZ3kJGjHl0KTx+e6P72f6mbdzVJu6xA1bsNq972Z+sgpUrrwTdVNUpLB++xwo2IdPbEj47aEPcRfm0E+WMrTTu8KYqb4T9+z6StKS8riTRwrwRxk6M78+0ewOVKcmFjTwbkZ9E/ugSYHTBNGaQAH0/PrW9a3sAqu31QjOa3BNojng52AMHR01Hg0hSwU2YeaIsSXuFItTTPKLBZzZoJT4Nfq/CoMtTRxZ7/tGdY2kPSO2MmCmJWFqbOIocO7cflIoxsgbmoMhY4S1rpew0knthO9warwBVq6+sogdBgDFLhuogMb4UiylTacNyz6REtdsrk6GJ/tByX0WCt6iEmHCrxPFwaj6DsODOziD1PnpNzUIFQLJpaN31i6aEgdl5b7xMiIV2qI2x+MDnvzYj123eGClr89jU8kdx+9MjZK8Dp2O2XT/KUNL60W8c6+BlsPvYn9XW3SZdInCyuVDB+HzAc3i5CpZNRD5tOerawic/OUZB6BZoI76e04OUFer2A8T8869CqQs3FU+jx0V7+17ScTKxm3Jh9JyoLsOBnB1PZ75D69fEKjibpeVQAVQnu2p7DYQIh9nqRT/LicJGPJhplIOXIBh5etMD+eyuaJL/l1lfmw8PSHtpg8n349QNXbpk0P87ihQqrpIXN1/bRdE59xcJK0GRu4fdem5geEupoz01Y+n678+FxOiASffVkjC6ugLzRNNZajP4ZSPXVVCTaCrO+yKZtQdip/6LR8Elot757oDhpW7e/dxAQuRf/bu4RICJ3+8EhppN8uQ60cWEM0TU3JvlrEGPQ6mAGyVr8Jp3QXyckUZCHUfm21b6gvBdwx1A81LGHlUr9r+FEjFNbmXTPeHnX97Hd43ks0HQG7tQ7HrSqAJpIyEut5mjSJO81TnNt+ggsz/fZukH+BbtjBXC5glXBaP3G6GgZq/cYtk5PZyUhqg52/eIOk3oIFyZ5bp2B9EfVuQStk9GxY+e922UM2cZSVetGT6oOiSn4SVlMyB5NxlYPcgAloy5QIElmsHI21vgEswrNw8ZF4dhcuVszeT3Hi6HAro2xT/o5aCMcWThJheb9zgNwt1a9a85Oy2rXxJ3CKyCDPYrOOt1ntOaMPiLRPWCPJ8zt+mjGMB2BMQDZIGtSzisxQ5Asje1nqvgheTJb3XqUW5h7TUXPkRDpYh3Irbpioheevev57YOLE3EYv1BcIDchLj0lFsUen2HFK3iEVaZlXSaIz29jh3LD70b2fSPdaOgfjCRItFSzNAAvwXWOsHNwRNP5AExUnTGqF1xhQRjGnEuZiYDpAOZ8NKV4FpxVSNI4KiLjZ8qG+1CC6DugdlFlfEyJGpza5llAIpy+lWOwn1oJJoWht572gEm4hLT52JHgZ5zT5hwjqDPMPb40Rd6QNTvKcRg6obwJXMOKsIJCJyQa6SzXFeshc5kViCHGlDtIT7Fng1nLkMA2bQnPAuGou4SFIfJoMmLY7IUpa/QzZfjxUNcDWTcnZggWlbiOkWgb0Wn5uxXzHx+Ok1r0G7OB84CkbrEzubolUW9ub6j5R2StFUnsZhxns/XQjdSe/VO2TmEixo/JPt6/oy4ekCls4KVGaJ5u4Q/XKuqdVgbx6mYYi3EsrIVSKiotbK8hTmrptLr1CfV6P7ZzzBd2tWrlZ4bH3J6tLuhFUDqeg/mWuYTjwNLUDVmkYdRWUWS/WLqqVp9SVZEsa8tMNFArGn9sYiOCEtXrJ43DsWqBdTXBrsiYhMVgHgmU2b4syChMJ8mNFMGH4AerBZahLToFXE8H1Y0PB/Qt0ENWECMIKIZedXSNxo841IQPtJ+/s3lqNfQe55e6k0/apnJ5lslwC1riiWL9wIQULIwkgrBQDe58sEDqEdF7cGIpWRJcvfAeosWttILNPE64DfbSH68fWCIw1eJgmCSaPe+9ppxP+7vt5bIfzAppl0Filhew7frc42iUUVD8FV300GLd43jkMyYD/7C5xPREkUp0EX3BvOCIIOsDyBupZK4DrsHV6IBbhuvnx+XnmulNSqfYpxkaW226lujoCv/+B67hrLHsDG1AbKB8eFmru2/aGTqjN0V+sW0NDAtczXZc3uZbwvmFEVR86pXeezLO9fQIHylv+2KH/kFuk+yDUc0inCxGLuDPZt/MQkf2Z4apIINl5mQDqud37zvlFiy8KkU8F/IVUUwPsohtlGLqrxP9pV8WCIqMHxBupWhpZcHE71WsvUVmCvmmONZnFvNyRnTTxW/EMIw7X5gpmCtjLZ/dnNz+ru4D+oyzYkzb2ICfcF49JCLPijHGe0jKeYcDEL38bmam7kaATH7dvMHEC9C1zXZIw8ZSPxc+/kfCNdcZb3+mloj2aJldiI3R61R8XpJHARzAVIx1otYD0XcEYVfBgFgpNorE8orM1sKZXTcgs71d2GyfKm5r4OE5ZWOZOd5tS4XNISMFdT2tKOEHJNsXGFL/SnLAqD5B+frTAtay3RE0OUA03CFpkJTSkU2ZSeRvalofDq8Np1ajXBJWWODAIqy2Ugt6n1AKN+A/cmx3IfQmy1yoBnT37Y3V/4qypYQo96KxnD8coUAf2GDkE1Sv8041WhyITbi54GpJljZaW0caEBqGYs2RRaPpmrSUsp+Ymr0isbMmsMsiF+e+rf+rbWDQB+b3e2A1/ctgMYV9yW1ppsSUeaNSGN2AxyIthx/+EUfRLozItWQh5sx5l27YHbIC6WEV8MHEPG1GuPv0uVcnWIQ5mAvO2BwIpw5oCz/xLs9px8FmkWL0069nzvZsor1Ma9pw/j6FRvA3Z3EOSQCPhvmCrix1mU++8Z9ofVmhAvQsdZj4kNBmuLiszslqdp9cBu/nHWq0kTbVEELiYbCjO/K7b5ylfsdKvprgFZQms7nef3n+yzbVu7RKN4gqSdOEt0VIwouT9jzSuVEdW5jeRQufgyKlwvLgc4QCn238xYrldo9cL1ooJEop3IqO/PtHUICbyP0ysvHj1yGe1vwD9E6V0hPEMoQuWM2Czv/Q8suLVGspsFUbBy+zSg5BQAO+BKXa25H19VwByJsedKpGTksKcTC25jeXqJGMYTPWQD2aRUAqVpdBdEQpL9GtyQ35oX/Sfohq1P0dJu9UqkiMSWko3vokuJP2JTrLFmFCXmN/j2AcIfJVF7iK2h2PdKAybqmJgIVDYK32H6Z9UUDSZ6YhlJwRkrwCKBIrTRF1gRhrgqamnE0L7GMRXQR/PPfCUaZzY5+Sok6XM08t5JhoI6eQW4HIIC+AAj6sVNGCf9BWLToz8M4W+lVDt1BZmRE2fv3/PMcet5/bSUC46v74qxL/MsVdl+9ucKlwwO5q/u9+U3+I309+53zyuPn994ynL+zq9CkHIl0aDn/xyHOtQenaGQk7VrLxheb0Q+Hw4vXpt/YvQ5JV9XwUU43LfTobipSUsFHbbVx4ktj7Djsj/a8bF8EYcXMCbIm9zmqNNvF/ps1h55ei3mlo1tZZVaQEeCxkrVXgAlEc3XtX/vfpDWUSrDoskNRSKJspMbU9l8ZiS54YatVj8LElPshUDUkTN80ZLlSrGKHA88beMDBhPXmFbGEpOLSq8hV8aKPFhTFpWbrds1+G+J0MEt1M4CtTXMGa0lDGToLrPeOMvdTJe7wgiSXmD9tGMpLhOzyhABm3GDeNdc3EwdMONeY2FtHXNCB2cmJnetcIPVbWTEDQFRgxjCNhbKE6komVpxqxK1Bbh4arL9p306V7x7V/3ZZ2pmhsGaCUunURzpbm/1As2BJVt+/9wA1pqrTpzdnQ5ReLxWF5fWD+RW3Uqj/XHKIRn5zeTfNjAUz5xBNk2Hb4Ofh8c7GyduFR5o+q5Ymb0RWCTZN+2neZfTmlaZdyLKvCfgHMitewv7TnqcsWGD1uvH8fOgZbza/YHJu5+yxLB48Qv8rxP+aBJaCv6iVV5hKmc5hcxgod4rlwL1+w4DAbFx4DwKGIMSmATUuCcQAmJw3776ZaiqUUB8de9cb/KhF7MuKF9dYVARmppMtgW+yyOPLaQNtry8pDm4keQCJRVvYrEDZBpHYS6VBnB1M/LUIj1QMwrcoV5HGqN7KHEJ6j8LMGszu/23u6JVQYPu2c1MSvaV0gx4/We6zPIffiQFH5gbqqXucmwrrEffWoT5x87VDZORc0H+Fh4y7xTGBIepSisSmejc4hVRb0VaqvCtfnHOppVPhTLNjYXMna+tYDXN5wNaSx7KJSszrBCimX/BQf3dkVxI1EVtpvaiWIvWbq2fCo6RDMO3LZhtNtYyvJT7b/J1i6N+GsxPHk29BtZXJ0L/xK2SSlBtjiDauarF7SX+GZ9bvAHwBCd10k+Cc2sVS6iO0fqRCY7lBXtAT/m8Es6ztoBjM/VO1bldrHQkiwsEk7m+/cIZKqjHWRgAFt9iW0O51f7XichpEmAw8J99bND32uGUh9XkximgxeEkAFgqoQyeyJKM8aWkLxGEYMYehjaILxO6gCzN4c07Q7y3os7FEZX7rmDykywytUg07wy/Lcm5eHoXZ8lg2vAR0usZYVOlpqgekq4em6ohrYylIPNFIgB7Q4Q3ZX51caxDcHWdtv0B3+GiykRN66uwWtQN1bDTW0cCsyISBY5c6AUHiUsJJMk/RKAEz8BK5IePfSEM9v1qlqqzIdNKLktNjQYKaoYuMdBwiblIJPiAKZpYTIg6I0tyouWvbqKccW+fKJh3k9KWncX5qSVa6dcl0dH/47mGcoFlanJZ78dCBcte9kKkiIDQJkoBdd6yRIH+0eQHApPmSMpj3HKoWXq4DiWO3aJmcYENOr3+UlNrFtf29YJSUJznEqUf9P5+VUvVHbNp9QD1bkVO2b6Yr5wbx+5/nAAIyuYWapVsWjatbGmdTeuE1vcAwOpmmMhYHq2sRZ2Mmntsi2b0GQUCtlCyqh8u+s4kcmXiSS9JG98Ar5hf/qFg+mlFnwDmQEofEOYdhnShnCb1qRsRfiWuema4ARYmuHh0wBRhs5+PsCasoZt7wvhRXcRRYMeCCOu8NVjLdVRjDasnPIwks/25QC0oKqAOZLTokM7DGut5fapsHHX3UXh6SURfUsiBQ1suuHqQo/j0CLHJdYqcjIhFGglnVx6vdlPjUP8PnofiNBGZ/giyvuimUFJU+PDbpEpXncZk88XWHmgu6o/+spmr3893MMcccvgHnLtqmbV9LVFZYyxnbVGIcVIN4x/nspfn1DivFeaQ47R8khuDktNUYpPd+q9AH+JWJpoB4C69rzkIL5cWYMIMCLqvHTlzTHK6tasctZwIHSPjnhIjZYN9fCdo0kdQcZ1JZQ9tNxXs3aTa2AyVVCfwRuJ6OQfRhkPJEwcOWrOj3UqEncDbFim8jQlPK1eGREBrKkOaZ5VhrTXV5Ij8X9Q/uIiqoQ9QgwUccPp+VqY0UrWUzQNhSL9r8rSMfbTA+CKd5V1DW3VZfgwWw3kD7WGRUyAiEaMDTS7MCnDdt4c1/9hogrAzYvUT1v18hBOmWJ6o5PDrV5kQKUKJI5/VtpR7lHWJldmhuAZKiZGRepXzZt9XecL3yPyYYHKftxL+ScC6/MA+4RYuWZn8ccmM1iTRA+mgqmcgDsk1ymBOzhhXVpv8pj+VNeoV9FSSjX+ARVKbzwMa28DCyV5tBfYVzpyuQY/jBPz0XMe/7793JYDd1NilmHvr9P29nwyUSIaZH8JbK6+9NcOB1phfAtXAD5H5s62RBHfPrFodGiSXfaGGhAtZqSnPE3cjtNodjzdgONDMWDwnMyOMCdZculqgqA7PNn6FHU9LtEF6M6LsNvB8ppvccsYno+grgBwhMXnFOcREsKOSHj+Tj0w+N25R2eolo0GlrvCh690AHavKGohwU6wN7xQa/v8pamR30vhVpT35L9pAj+SlsatcXrPZToYruBXTeop1BNAfXXQV5QMKDCjQk7FOlFOWQ31wKuwWrDty9RgEINCwhzGbu/LVWfP3dPENLWWYcZ5k9qFZ1JzLxXV2r4GKG6ysbOQyh4D3Iu42AJNE2by8Zaz2bpRpBD6kPPX2h5IKnAIi1raWWlfg/8Rp3iMXjG0Vng2zoqPJMIJYoA71MngkMtDAhNdluGUUYWBb+dvu3QsGeVTn6BtWsqGl+9WcU1mOH8ZmNf29p+gk+yQ2ZaSu94fVtlw8mtuoG3jNLgaWLn5fJx3ua2PPU9P8NICzHBzwGhtyZhZBFGLJqGVyn9JiguNUaGHcHtlYT3eBfbaiCdm9cE8iGfwJu8UUoLWGufOKYFws1SiZB7fhkDCNu85xYTHD+SKaCNb5knJrGmWJfrQT+gBD1PiPa9JgGjjbj2KsyDh095rfOvM4LdD8xR8twYobVFEXYzDbq9Zpho4R45vYufDl/eGcVThlJxwsALdotYfWzxXnovdVX3aBHSSeyMQaIR4kEtYGMx7pBzja5SLiFOc1261DlFtZtE8tvdfQ/wS2KksTqLjMwzjFK+l80yq0wJsqzGB4/HGe5Ft3Um+/Xq/qGJwjmy8ieugEZoAjWwGC4BHkPk7r5vjdQ/fsoh9okPP/T9rZyMCLfpIJWOQNHH76gZtPZrjQNkNpUzvJNuNbRysTveXojkHMJo6+s+zYpY2dW4/x2Yk2yC1UbXBwmuAYOjYdV8/Go24T/uy8PDo1eleNPjWsXTjU9EL4xwsx+lYdJ3QpK5tx9NLXf7MOL7DqNhJg7n/iYZjkuRCpS6qCZ3Evf2+uRIw4A7fscOlgO8st+i2ceNneaL5n7kUwHoEl5Yjb/2hgiwNRkOQY+Zaw7VYa6cIVWIHtcua3nOa0Gayjoz4hpBvqjqS1UGpvax9566fzpPEA4vhXzs/JL80dOZTLc2mu/5IpEvIeBVyCV1eB+vwVocrSESiHHYVZxN7PfIgDLj89vWkaQQq430dx0se2p4NawExOEP17P+zsnrw6DVeeK0wxnejPq5pYkn5Ou6Qn8YT9AFH1MXeHMRsdnaccnCxu/t8KWN6Jdb3brfsMS7VCVLc42ts48ZVBOvYVY3eSK0mxUVpFtaIjCs7ng5ayvXzEiom0eZt3b+XUdUo/mivbUPybGiDB5gw8Zmgv/z/bzeLXYOSJvpJWk4yY756YD3Y3VvmNh72ZN8Obyt6VbV0xUAOSXNEqB78TVKT5uwNiU9K82eJLWoNcgFh0xiyaGxTjoXL/c4ERADMvihAOZl+hcxafETn40kCMplbAmW1Irpdc0ecWLHh9Mxl/P6RLsK4iLdt/svIPi2J27zRCuh+/RwYG80D/2q32Y19rv1bs/A107F5xn/w+5X32e8FmvLccoIruU92n6OCGzLE3tjMHasQcNuc8sEDYqj+bCBCbEAMsH0G3Xb/iEJ49vCXLDp+ttLItw0wx2veC3wvxRT4gytn2P1SyG7Gm4EujMxkrZvUIOyDHO+/tUC+tKybd3bx3qNMTV01V9WhiG9ipunLJbiNXHfRT8tLr/b2vupiXcECfSXNhgyRG5SLXNfiI4anHX3dOVhNtusxQGRHKFjNii5PQE+shR52URPrOybIOw8DMSBXbg7cKrGvKszSaKnqCztuWG05bLIxJfDdd1fT/SDvs8tmsggz6qnVuOxQ37RjYa3ezTbEIA0wvGMrWELnzT0agUFjusyuwXbY3kYxFDnnwyqdSzutkh4f3h7uhfOELCZMrlnCepay1SV55+vAzVPCFPjZ5jci6o8dTS53zk0QBJobMIjJbwVsZ5utqFyL+nxn+GKQWzvPJjTJzJXXsUwegZW8JsyvRQK0k5xQH8ZSkWljzp9Axzj5Pvzm3rmFTE1e7ks2wqsKLcQOKnLWmWRafvtiAZuHcmPvRGLOTWpgPbwdQVCcIg6CSgRPTy9pUdH6bheYjWNRkzRHtjFTXco2PK0p51Cize7fD+ECqK48NMCU/n29qe4xyiXyheevTtNqIyeu2VUV5ucBJib2P/eCnpKKKsS2vGCB7FaEtCGtT3yIVoynQk+M9oG+7lvaI/KgRbreYNQHtkkir0yGa9W4yDJ/IC1L9hpDWGypE9rV9p7OD9j5i61hZSfZUsjpgedCyIuVYU42htY4FgzWWTZqfrOzZocYkO/xwXuGQw5uM3QSMnPxB5ecvTbomZnMZO3obMFZmUer8iHjGdrWcUP2bWjolYF69H5bj+EWLciwfTZt6sS9s83pcVmbtrxzjcbZfBsJwwLc56bV7YnpptjZOPvgqaDyuxotLx2aLF/chbRaogaCnsdpnmRmdWJncq6Bx0Y2XVOlo3nJmHHaZBC8Be36IpckjujzrlWM49kOS77yzVp762Oz7ZbxPhdy+nVATHj9Wq52QjYU355sfZzE8TMjF45eZBDJ+w09jfvPKMRzbiG3Tp8aou66ZF5KO2Rg+AkQmbWVwQZ1666C5I9d3nfML6NKyj7ICk8J0nPSw9s8vCxxqoIH0R8pYfcLtm8BNBh2xb4xDVxJ2Ur/jKWL7tDODh49x+EvmF9N0REnUICIjzYMYqv3Np3bn/kUG6xFjNctRlcN2kyxoH5241owed4hmRJ49KcBh3BY2l2EjVBdHS4tYLY9uA/yizym/xdDW0MZH7iyoPgrY2bqSDyRb4EnT5QWyUmYnHbvM/i1ecPM5Fpw3839YFsOGlnG+yca+tiuZgMZY7N8jK5rtgsOBdm3N2a8ImwMa7ge6Nw3bBB+9AfBGnvPr3VmrYH/n0wLI8wz5T3WM/OF+gzdka+Iza7eYArwnOzicF31uyMFTsUHc2iIPbfaPyKw8ny4A81Ea5bEQOWuWx1SuzNeD7rP7QjM4zdgWlJIF2gKPS7VLs6Rj4WZOvFRdkTZfXJQGDeYHz0Ni3WFJmmPLXoDpK0OCPnkyNxjLVRkSi2YZBotn/g/ZLORe7flk4FUL9JoY6vxYFmSzzd+z2myYxkFWhD/w2j6gy81iNRMK0vwX/UGB+svfBpwj4NgpnDs0XyVVkpcszURIGinBVQRH+RV2Zzl39f2KW9QRbali/lHuAXhxr3e7zbNbDXpAELteH7w+6Rt8ppVv5C9QN3yUVrBMZ4XK4hSILn1KHSsOTKHK1mlqyz4R2U0pFIKi59Q9B9NzF7beAnb76cx1i4rdeH5CS8JKe7Ryhlfa5aEbUsdpfRfYsS9ynkykUT774DoT28MZw2nl/XgBREyoXXfNRayx62tubqLLOcSGseUcQwRMc9JcKr+sxV8acbnRZQTkVzz2HoLpShHuSAJo+ZTu6ZJ/7VHVnxxDjBgzNK3LjzLDTLfca1rLhrNfUHc3a4uDIHZCbX/hKwy816J6WVbshEjiQXDxQ2JllLfftKTGT8CZhMQMHJwNpp/d3IPHTP6iUzzaBmIw9346EfpbmOfnrIypcrshAOVNkgu/Ac5bwO1U34h+Q17Jv4kKJRewu1pJCeBXniq+L+6oyCnnascdMovmK/1Joju4vj0ZFMEzGQZv/oXAJz983/zGYWmvxFXAH+gRAA8Ph/Wdsodda3Bh8biOp9Up9bbxm9QNbQz21ruayLcv2WHl4+jxwC7GX7a1aLbW0z82RTf/S/eNdTbSXKtfP6eRCO7kB78nWLM0hzGNaliSWPcrj0A88BxqoXwfFFi+KX79KN1k5bddHDwj1PxDiw+FQqFQnIujCO5VQLxs2aO1YV6Il5HeT8L2cMGDPaZXQoiHj8LL2Ae7n9AUdTKAsGMfgP+btQ/T1FnviZew4kTOADeNtx0M4R85Bc0Vyr7AGas8QSCXlAI/nK108VRQvqgH8aDo8s2ky36wK/s5yM5UKbl4JRrxVUJf/AwVhDXe1CzihHeWHQM+OL6L2XOghwYLNMOB5tiGywxSZZZKpxvxjWXstbpHgkM9lQIXyuVcWtCHnHPqarbdmnKecRz7pOMGzSrSEsiZNAYqN6vgB/v8dq48KzpBhHQdXiGANyM2CPDdj7JXzxlwZtqM/YAXbNdX4ntKiEkW1lfy+kpaX6k2VkokASdgBzxvja8IaIEmU4NmoHPXiN31RFxPhPVE7o7MtepV1bRp8/zrhOejx3lSCkcI1CRGxo+xgGv+Wmpdr+mFDzSHuE3/+WvHheVfT3/7cJK/aWE8vHX0h+cOe//wo6Ov73/7iF/9+/LKMGUU0BxYgf9NeKCS18fu4FwArO1qoIc+NAVdI9vRdJWhDkd+Z87FVWRLHlZRSp0hs0/PWGrc0bKI8/YRiLnXKHe6NGaeuJn+FKo+78qIKjgEfg3Rpe6YqMK/NWpfFRDBmDpXsiKkAp0yN9Rf9ppS/e2FkzxtTI+VwO3loxwB+eSZXEEUn2lj5XlZbbV0rRaEHyLBAihG03zxK+Rao3gLmA36Ow/GFQD4L4s8wkhZu0lx0SKP5sF78FiGm3/5LE88eT1knP2E6FbsqA04++Lr/qgTywtheWrII26oDg3vOpCOs6rBO2heCjrwUToYqClsj2Afka8I3Pf9YTyoCAFYmwAxDCN6t+fsHRxvpfKpHu3CimSopMKR4jdL6QAkdI0MkKCkknO0obXjIKKKS5uFXaOIibdCcOrWY/W38arZeL/7R1BNKouNKm8SlmhX3Alp8PsVxjWr1niSyQCyoJNtpmM5qj03ObLzGCRzZpgdNrhXgdAq2dGM0Eweqf5WGs2KhMEaVXlolFAQi7LL/1D/X+qp8ms1hARaSNcoK1IjSXP6D13xbXvpRggXRymKEjrpY2sXfmldh4d8/MCBXLrN3qXvVC5dz0scQKbquCEKGXmq/4NEIZzOQdboQNEd479Zm7YY9oz0usRIITczhb9wxlRjalS0Ph3TAHtOQmE/apWLdNzi4TUaz4kn+NXjIroTX6M9UFDY6c+C4sHuwYgutr5onOIBP++VQet6oKz1ywOL0YWbXjzpnG6o9ETznbtO0URVEzj/Xa25MxjA3uUaLnv52XMJdowNBc1N41RVWtNElbxF7rN+XSztvqRfJqyFwUxeYtaCFdWpEb+0rEuJJMte0grh9CtVnoxUy6WcM1rZismKR/PFMtFrjp4lXnP84HD2d/t2S9LaAyR6Smjw/FDYI0KaPy36RPpht5Xrx2BHuj8joHNpdu/zgUv67wgkezO7D5LYzVW/twaasu5yy8cJ+AjbSYqd28i7WwFMoZabUzydxD8cRpCuWL6GUTUOnHTbwkYjbuFNCqljb1HdkISM9O5k3By9t2K2xqARCKdKoeHldV63+ClztDdON0OvgNkMPSFPGlo2AKN3M0VU0uoE6mKIm80x7jRFh3JdnO+IbvNg9O4CRmW+DqXfM92HK/pQSZdbjEjL6VtR5KDg34d16fQpnGB5VJEjGuSF2rkg+gE/wobiDyXNhoKGx+kEebHjCkNJZotogMgbUelnkGhON5dERWeVaILKL1HRmSZe6ZwTFZ19AqTUPXZcSQ61ZI5ICc080+idKm4ARqdRRE8CGFpScFbKFXiA/0bSGP3mqQJ/CaUuJOIaY81Ri2nEObIhU8g9DhsvyM6htzhA76kSxpK/XdLh5ARrYqxLNEBs5vmiGACnM7WGKkj3gn6jw+wUwFWa0u3VG4DRxovo3TKM6qhoehnjFxIKjpYpJMpTL2Veh0miw3itRs4oW4lMZS2bq83zDVQ6HzZGzA2FTL1d8NHlhLTj5nhpHrf48b/nvqvLXWrXn7BYKQagEEDmfKC6cRyBj+JfTVtfVVMGaPLN0MrZ0s727YByI/tai2z51jSLlVmJ1gd2fyP9B/NVCFJO125FReAtAOVZS+gjv6ejt3RBplNx1j/06b7/4cnc4xL6Rxld2bfmwGI+QP4ewaN5IoiWWGjgyKBk2nk95evjxlKybn4Ac5kCMTppfYNf9ETZ4HTscReWr/SzupEN9zWsC5uaoJByZlan98DhUVXFr9utZXIv//ZbQnB9QZy1bjL8wgkBY/Y1gLuzqkzG8zLp4JNjbQxWlL5rwmRzsn4+QXRfbdZ0fcGA0x2ipnwUi4BD/Epg6ezfJNSKDHc7JGYm4Qa/hObx/QxVk7E8KzQRwCiU+dJtykwrnAZPDR490vthKjS3uCwuFj5RVO+tPXDHPgncrZoQ5w4RkXBZD6DaA27+G57Zba9MPReC55ptybJSUs0AYiB36UIcFfn+At0C2nPM6eXlEPTvDEo5KZ86NHzTglPYYFeR/IcnNmmPiow16aDEzXSGMH3lp3jMZgR7al6e9THP/S1aLKhGg6zbBx5BwebTXLVGUO8Jcs38ZJPtJM9DRlAvPHcPPr2uze0mjil4Pga0vPsAR3GMwekkCy1W1Wsgi9qt+wWRjtt8NVyxBhistgaWKo2MBW5XjgxHAuuZLJ4KBRH2MEACxsa7ERhyko6CVm9fngzDylZfpcd9WROaRSUXxjUaeKbuNyDzRoD00ZGVgPG9yW2UFRHfIJgmAVo1pCG717gX8Hw4JsKmr9Wk5NCOKhp6TRs032Sbkt/5ruqZCbC+vd6T6IPvO0Tgv3CX+Ix48YkO2S16eSoCmBd3OtRnW6vCltTup5aspwsO+r1FNisuEWndDC1Aj3XNc7SWUN+Vk+9qIOjAAInQ78PMoJj2EIqfNMnI2cNGUTCpG/1iUrmeIA/tSYATiri6RwXg8at1se2tGlOTc7h3ezUrdk9/aLODWVIu6EedgB3OgXC3LaUgh/NDXm7yg5rFDCIRegvXCzzczZ9/cxKWTIk4rjwY4tU4UOWVFwHNJz0rUEvlVnZWQnKXys4sVHvAzHj2ySLVLqpWXvC01BktFezqdS19U5awyynVQo+lKAK1fk+3bQprujX0AS1zRmCd7LLzB4BsGDlu63RHW80aOHRqx1ndM355XCyPSMXuSaXxD90zMD5oXhjr7ygr/XvR5ovy+mCuUO65zIhaHqWB8tujGBjnNV9nMYizuVsv/xnz/C0+SbNeJTZ1A+NFlOrg2TB7TE3AT4USEo79ku7HM4d3VWpC/Ih6rnfSZwSnTx8GQyppyXr/vbK6Qy1rjIpYLPetV8wqpQ3c2TeOEBYr7oGfWvpLS0hVD9uJ887mjVTKZf1Pbu9TknK68Z/UuiJD1XDlorxRaRmtv2kuTPYOdJgHYQFgHlwIbkoGWSaI45ab7S6znZ5E86NNZ7ZG5lNDkvP8z6Rdtah5xXWzLNy4VbckGrqZXD971JMi02HOhR0lfl51y+vAxfLSXZu6AmVt6vKa283V7fXvx/agai7Sif2c191tnrBPZmCZ+9rjR1SjPOTm/KqjXqKxdNRf/tZBpp0+m28tuImlptffEnAOppm+6NbvxQdF5m/6PrKarg0Ksqca9Dct2HOlMr/PxO5zJRT9tBUc4yOWn4gccUZiuRW6piZcz7OAhLlEVGJHDDDp4Tti8tvJZLDzY9fzXfkzMEK0fhsGmV3kJ0Mk8Pvt8dumQnHbwb5ySOfSU8BGAwk/4EYGwNYIS+BOdO/H+7UVsx4HpXM4HVz4cSboi6GKCG+wHDHxB270SJhCY3pHzSiBOJEIbhTScBuZvOYlR9QSY/8+9M+tZmu/8egZob1JTJpIiwsTTyNk4was7JWtwC1p41+XYTWkxRESOgbhClP4voN+IrSZIUXHAKOFoi42y/0hgTsibjVcdSNrrYZw/eW1I9E2p80odoCl0++RKM7d1OjmfF7Ah9b9LETHyNFXYlTjKkU4Xr4co5znnQjg6DOY0+WG7v2vKdl0OTHpSMfh6Cs3evpoKBS9DfRC8r+p1YKl/Vze5yfx5b1bggVqcKn7SXKqGWf807DZ1sCVtGy6MdehmYfC/J8NJTH7WWhv1Ts2BEu+1Dom2D0Nd2LEfFOvA5w4sdU1kQ6E1JahhGLjLyuzhTfezDfuolB4wdMMi9G6ILf0bvD5do3XS1wEl7b5ttZX9n61cF1y34v5t9LKn7xLny96dtgp3xEmlwtiX2Q380gXOPoYEmUYyqj84oUbhRGe+jvhfpO3LH1vBY4AkmbobSc3XKbDIto40y2QvhKcwiv2t8enqD5dnyTunWJjgd9aRSiUfgPEDfKlVaWsTPRwu6q0GqODGwGIYXtBKSGNWynT5K9yiOjgF6w9he/q7pMHUzcpPWmW+J80yIqnG0gKi3LTD+9vK2t4cJxBq0IBtkfMVPFfUzwWUgYZVHui59s0LDKSITk7Zix9JZU1xUL206ztowD1MIRiuMWLQXoed5RmH9ybzvzXU0B9nXFEeMFRg16ClqbbmiJsN7YzLR90OzfryqQxZs1SITj/bFTigiSgc2R5I+z5uVoguyYV2Hz35tZYzIPCLPD6dJSrzLViVkOsb0PUW65Km/RzaXdaQjhmBf9roeygdGGW9SAkE1e/ceU5RPt6ImrdNoh28NB3o+vyoijHqZdUzaUkHsqJOA8Xh/XKrBNQLwVmyTVX7fSwUV4gYNuLvoYv1avHuxHePu8SA+4rmv5bCux+M7kxWvzAMX5G1bCf1DUdfsW1JxzI2e98c4NLrGTpIyJ377wVGcepp4+1wWwd7ek+onO+xtM0Auzb+4dyTjaE/F9Wn5FpKG/L3Ut9MxW5/ccAabeVOKBSpYeNJocH/PEye9RTeaUvZvz35LJCrOh+fTqzvXHFd8yxxiz6jntif4FxwhiE3cZ7+LESiE6/wM+WUyIJ2Mh1tQxfsqh3pKm9huJ5kXsOydZifjC3PGrbHPQwVgQ2XqZkJbj1fNswwtXu4Im4kwKFfIyry0IVzR+QmcMzqBKaP81bqctb+NwnD+HoS4sdDoT+4OFyWFfB6nKSt21a1eVN195eRl82+/l2CeVSt7njEhF2A2+7jHncGndfbQGzXKlCiYW1zj7eDSc1yzJmSYid6qcfBhw+ey1DUmIorAFiSsKrV/1VY1/a+xtKaQqjxFBXLI653IAETSFtMsS7k9/aXONSUD2ssVv1vC5TLtYzs3Xu1n8p0E37hooN0UOHkBWl6kI+jqQDwm5mld1YDn5nUyVxFbfU4n3ASJqqgvgdBj7FLu8dRI1s83D09o2TjGoJ5thDxmOnvmLPiVHaQuXgf8RSRSkgm3n6ImU31+oyUmjmM+FonORNObgC1T8awJEnsxMQop2aTDm4zApYUqbhEgCVwlrmL1ezccXfqEZQHihc6s1SRlFWi7DwOsPmOrJLY/tpOvmmT+AMXC+Gk28kMYx1s6iZ6cjbDo9wjfD6eqBr61exJWBWeSCaqOgKd6L2bxY8Tq5vRL/2/suUrnN9A2b9FLv1qSLcZv8OB8o5tjfDrHGWB5OU5GRRVxQ5KPj3AXbqtmS+3kyNVJVklcg+pkjaasiPUa+dz+AGzPpt1cX8cdyDduPzSQ6A38bEt+1DS4KoKGMqF0PapbUBs964Wz/2ZqUHyhKY7Sxx8pwoZ2QVn3YOGCddZDvBCrSBMry2SAtmVibtzJyipYmNXfmZ5tMo6xBV2DZ5qfbPf+HLliW/BzRmJSi35j08Wur4sZysFmVNZcQeI7cWhce7Tffx6NxrkOK9nN8QDNr+o0lVFEtPHX4FQD5u+YiwaK0YGnEDo1/WV259DRznxpAvmg4udar+Hfe/iJy0qCGCWVxIeeky5nyNpzazPUXaDrcle7Plihvo81uZ54j23aVwA0Rb45UzJHlRyc2tEv3Ko928Pn9m+pyGF+w5kdJ7VnR9sv2Ljzg6IK5KajfQ55ub53eCkznQKg1xY6W/pMOJCbNcaoWGtfs6mHRXfqE1IE8z3JmR1Wjrku8ubbVuoM83nucb7nOUd9qOi/lOyJ627UlPgNJmarWag6ExwbBeYlQiot5AeDnOEMfd/EEaiu15HDrx9zc6ubKh4p9tOg/COqf7RmV0t7H4RGxFLzJ5mLPD5FIiPyN8eHKULdoS5UOwnZmuryMzlTvEF4TZ5nxZi6zhQ5RRUveThEGFKpek7xMDw87iBQCi1JwhcKJio69dg+EyHb0DDlQkag6SXOADO6iS+x6XfrAIv7fvile/7EV3g2J0en5pte8SheMnaeS8HNk5Plc4ormA+r5JRm7QP8DcG7vOaYg8WdDAZmWYOayPNp4jJzQS6irF942oHy8YLok9+z+whwCv4g6to48GdVzQlgjAo/eZxhaRneN9rV80An2zgYdSY/Dg+uOxh6TphnhjikCistWRIe0/bi+7L4fiYahbAPKjMbzBQdLcQdbHY4nKQ5a6Zj1eVHU0rCc6N7NVbxeNp2s0T2g007+2DWpnePPwyEZ7P7MNwTPjPdJldvcWatFodpn2UzzKYfZlDjgv1ksP5BSV7orPlkmuy3ZNdCVW4jk3/cMbp1yYseSm907ROEidXfM2xmN/Hvcx/ahv/IbZj7KNdiqqukp0mEXaVt0vFnjwl5/65z9rJn9gElJflUdljxaahEsu7lHvBC9Wm35XT249P/Te1+mHe1bCygb1wHqTUOcRfrujFGoQgmZNanlop6rKejwp9HlO230TpneDtemrdXUmGmlwom0YYKTEcMJQwyCfyTxgcsBM2akPfp9280Tdytfv0MBLcO+xj8tlZhCDyQq5CjA2q2C6gH/oZjGi5KUDm6vBps3Qo3WDMcMe6eBVqkXvZ0UGKZS4+cql7ABuWQRja9xkeMSH15UxyEYqj+hpeI+r3sovb6Q3MTHRtZXO9nQLhg2XBJb8B6KSsac5qxHrvbtTndwVz5qvDgG8XySFXtQC9X7S4UZz6DHfHxPXPUn6jHDbtUgpbrwJMNVB4v3+t7LNXntLWb0gSorntu1wsZ2OmWNq252JXUjlvQrvFkI2/ZCBC6Ppit44W7OfIt0olf1tw7+b4hIgDimPdAxevDOxommXj9UhYOuNaA1R6oRHo5Csi0pZVvpblNaSwuGdVhei6fptOjQv0fPDBSCaK3k+eQ008qu3NMCHWv1M2BWe3b+h8yBwWZrID3r68nYzOPWkQ1DcHvqWls0OPRlmCERVd4ITif3stqZ7U648ZzSD1pwnSpuOSJPs+G+v0DvXCmAy49/rdRrjvAKdPJLxTY9n74q6otVhM4VmeSv2yVU4NibN5mb8SKQunxz12is6Xmn8za5TnckSfHb/sWjkDK9afJYlVN8D4om0cm/aEGDv76iX/WUTKCPp0UySTo8FG12ecIbGTdrFiRg6lGSUZyaM24CnqWSwkJTiiaS12ydNsXejwfnZ0hfEVpHofYatCTwvmweUXg6rRfBQYtvpBO9QwJWenwaM7vFkFyF6vBbM7jUZw4+KHO+WoD82e7Si7d7Opx8pLLlQ1O2M2O/S10Es3fV7cgnEVGqF6CSU2Mm6cMjxqYAG/sec0aki/6OiyC6w3FZVJkx6XK7KqR/nGtHjiqDyXzl0QMGQzwPmJ2NsnlN/2XFqbJEDIIeYNY8cMt4hdVnRh0o9sVUR/cjqVlHkoOBfMyT33wUAODeBKW4Dhz9s0CGjo+6dQPRj0ZcFuCulRL9CbIub2UP+o8yM3CJvM0MzRUyoj8xYOfXba316ig96eopEupuUvzE/5eglZvPoXxG2zQ1d80rPlWfrF6NjE1fPfuM9X8dsFu0b6rNdHVoQ8I1/wFEb87Jy6grUj1F9ejAwKptaRMri1ysdhnk14EYdAqcayiITnKit3SN4fzF/MlFRDsB5ptErA88136S74r3NIkPI1qUPOvpkdzM2mo3kVwGPE5pf1/HWt7ALbjBNkqDGFOonAjrC1oU8vdfg2kbf+otwnC7m5+nL0K4/bepbn0CwJKf7+Uxu8TP11st8izmlz2c66Tc56Tdt12/+W58E0hN/2p7I9tSQTX3rE4VYpik1z9V2/ebsetl4ncL0O995+HRGKt0vZUxb/XzXEpC/mzbS8FxabY2kJ3jATkxwuDaZU/DFn06rlleWTdpvkzfw5nXnzRS5d3E9OpUd0WBVI4PNQ59X7UrrrkYmfCbXXWfG6ltHzZB3I7Ponj+x8U0WkHRdN5mNTJYmIPqolZs239s6so1fxowVeXaYs81wmO8Hp3qX+acTOeb3XXmiCuNlPRiz+dWilGdoHkRvIuXCnq9yb5E2w1ePh5ujg16ZLIWxY/NhiaViXtCrdeb79zzbJ34JnZJTUTmXo1bpsjmYCGt8QzRmz4G4oO3fE/NPixdpN/BCOfvb4h5KtwSDeFtCoYL72+YewBZv0yNUcP97bnvI1exF2s2iUM7u7AatQNDaLUDcWblFRUrMuw3jVm5k9U1KHcF0fyaEyRuxGmOsmndLUJy9wi7s5Es+iJZDnKf9NsSbrC4dMUXhXED1OmgsS8NjNKNArWjDCCATmujQyezbkfwb/OjFNILCbC6O9olpJ+u6gVe3OO1M4ka8CwB09pCNyim/BIQo+okCaNKrXHxA1Umas2jGOBtqlOcofRh/sqQbeHWnPO0ieTzKYav+7lyku08mFII65z6KiJPdyd8stffeug61i6FlZZqaqzxPrJcNvLoNTTug6lEOz/ZHTfTalzVR/yhaRlqjjf4FOgz53dE7xmDpgO1Ek1vwzvB/L9kd29su6xWlYsnSzzUzRCvgDuRBnjRwvpiGJnjI92D046cOwXhxl9JnhGn8EPprZxpLzDMqDTMSwQUGiOMIJw71UkRePEhZ/61qZWn4KTcqff07T7AaffL7J4t94bZM98cQksTZdCDF8ZPqn86xbWAIN3YODXSFuTAzKv9nzXVYCjowzqbcejb7J4638wAmGxrdwBBu/Bxu0hBmzgEFKA2O5L29dhB/AKTwwfLe0aXIwbQhE3qXhZ9hOsFzk8C4l3ikcwyGUALkSYEpwJyej/cl+TkQC2Wjs3lnQldRmQPbNOXk5phr1dwW2Mbr5TaZN94yDEKOvWd887Z6bQTh9YiMsnetsE8XPnw7D1u59tlI4uoAq4G7tIKuNuvSkmQe6/SnvjsnljZyorBCUAClfl+HSxhW1hJ4qFoe6VIRmhoffvJj5gv4b3iyQOU0alIWD3Jmdf+TKMrmtfwfhOG8oK5bX6EEEbtWM9g/auFOyI1xzkKbuISqkmYyKb6lM8mdRi6deINYUnTqs32nK8kbqV/cR6DxbcPBq1o3onJupukA11+As2VvX7N9M+rl8fP8Ytev0bxb87RPUegN8zwf1YdPb4twlBzV97N43NfPm+c0b0mgVvQxujOkM88kzVMBap8yHXMiyjBQ/Ijv4S6eWioyVcpEk85SofOpCoAUwXDxoZDRH+aRUTDj/50GHTgjwAE/mjNA3Md3vWi/CUL34WoAt6Q5PDAzJ8t2pePLOIpI6pfFogb+dXrgtp+UH59x9BRkwLXU2gubvk3Mr9QE1IAyLlYUFhzONmhu+mPAToneWKOmyPCy1TyXzvH+BTLY+O2BZ4fFgxkDHfGxfR1jQBUXoizIYNNRbtdC8lpESHPMwSRYvM7cdRJATkgy1daC9ioaQ3shq2WGF4IGsB9SgcASu11hL/piqgsg//f5NpPMGX3Ekb6/rE1cEsZwSCJFXAcPTPdTP/9WZfxV8lx72HzZhwHqss5Ewlq5aQw/JKTTM8Ev2NEWOSj9o4PbBaYqOaTD3gXPAUZoJjqkb7JJe9Y+IfZroIsYEPgjU7fEEiGXHvrtMCMqmv4YmJWUZ+WuNoGrE9ZtuKddnw7GbSsS/DG97RaKGrlOnnQ9J+Ja2tiXigVpSy9aY/ySBGkmfDOjv2qg3Z7n4gpFe038tjyLp26vUmPskDeNzm820FHiel6pfmiXLCrRsKy3+/AYALDE4mpCx32j9jrK5o8r/0xk/gQgte9uKeU0bScmVJJltn7aZLgi3GXxJmfI+SbLz1B+rp2kwJn0nysSKCQwzHVEx5hlzvHz6ma6VrVAiVIM0WluHO2aq2x1ZLIBnWdlVPNWNDxCs9bI935MSCitMw7dZTK4P3IjfwlG0JGXg6GyPhL2/NsFKW5BICv3paz4lHqmQRwz/942QPcQHU0ukySEJ/Ib02Mxk7fId6+WMaObKtk3dvEHjofrB/am2Uz/zLc6OjJcKZsyY9odiH/D7R40+XJpNLM29w0gh/5qOIICcFJCoe90iLxoEgbYl+FQzlWd3t9ZHSDf1YFcjF2BYBE4S+TJSMypsusnjKd7YN+AZ+GiE4Z/j3Ea+DvAUkjBpwrTVpg4kUDpiM3BMm+U7oZwIaW+1UsmwZzqq64ciUeXxGKNKG5HnoPDzmj3ab79VQOepS1g5ZDFrb1aOL8b3OvNbN3I0rYXJoeCTNjQ09km6eeJl/8wOvSO8vNatx/f5t50ioHN2QP+Cw/FVKDfe+XzXtr1El4eLw7ETJjnzJS/CaF/kNbsIQTbYvjNknjkY1xzTxPToAuGwMGJ1xjBu6hEPPM6/P7GewaFrdCVeIQ/86HpmsoxTxcuK2EXqh8AKfiOhzgP+ntaSV4uXW3CFnoI2s3BYvgtNrB3PIKmqSV5u3K9CTItjD4ATPg1HuK0NF3TSvLh2t1NqEGRvKVuYOqcN0XTtN7y6a6bTYiLFE3w+1f9qV31jkDTNa1jvty4twmJXyzwdcXaMWgyrSTfzm3XxnHY3MBbvWXpKm01kgEZR8K/zJbKV/qGO8t7qA8eJt1LtV7WPNSOMvt8lVWdncPa7gYuL0rcPpC7C+Cdw8csiB4J2TOCxwd1sY7oBTD3dBRGVnP/4h/Nf2S2Ou+7YBoljUBsUIAKxUG0V8OOPOj2x8Tq3FmQlrD3Prxuj9XDs+ExB/qP5rCkE53b6+J4Rp90ngOCnpzvOnTNgoj7Qjf+Ix9NqCDI8IQQwwWtL5yzrICEEuId2KG0RPbZqz5CN27aOOu53Cw69oD67eH9YNYQW+mdikmlpYxZQvWKRyP0xmG6cjj/MsTmsxYsH4DDMi9YdqxeYMd6JUos/JLejak3y1Li7wfM+khfBZjln0l9GbjHzFykw7Fk+eAaJfbgu1c+14Ben4HckGswvlZmyO+ukgi4e9scyvD71ayWDlxQjiWilqnxlFOhKXc9VMLkz0xIDnDOW77le9zdsgCyBibTKaOhkFpWB5qKphxDLZRSuOjtRgtHUzxNsXlnwj0fGov7W8HBA3Q9q8yY7pBzNziUKkBzJhhjCbBQ5zcFNtdCLTgJzTtDZXyUgVqTPw7oAjl9sSGctayPbHKNkikvq0R9rXQZ7LMXoCG83REkNXmtKoMjLaXQrGK2Fs0zwyCKryPmCACfGBwK0UHis14XBAWeT0wNVe4mO6p4KUrhCyDGbqo+FqOmV0vkjPIBjwxX0PwGxfpGuAI+XNVQksucWjxTTlUwZXUui7d+GbqnK7gF93jN8GLVvBZuLN9eLrHxYg2CWoj0YFguc6MdWD8Tj3Pev+g5H+Qwn/nGfi1nFpTyorcnhUPZwVzLxoLsPz75VSFBtj6YyCFaN6RP70VONGiLP3BBqsSz4ZIqPDDcUV3rBB/k19OQASITBSS5zNnm46dJlhZQOW6eyfMEP0seIg+YRXIvt/YtTP7FbomkTuzGgSen3C0yPtGrM1/EG7MwrnKx5QRuO/2cUclPpNvRcrrIL4VS8QFiOzXncpEH9VEpizu5seciRydN1YBo6J43UsJLDTwNiLHRy6BVnm5/NKTqcxneQAJ0Y6E7bvfFG9yY72rW4xNKU+2FoSj+gUdtbcVCsN7Jptyf2JvvSZ+4LRJxBHWZnLu4CHQaSRXAEY8jyjQEAhSaBSILxzJYfxAd6yjudb/Q6uUqWW3Crml4wSVVBrc+MGj0gwWImwXuVxd7QQFTKZv3kwKeKDx28TwhY9oFpxbVzoXdDZ2xHV0/yef7+YTwOrJwIHwb/Gj7/EzXadQnvIEfj6X/uWaiKN9pp5nTwGmiAiYSxqnmbGCZnsJxqhmomEXcQVzZNmeZcJYHisSfUMsGluldwzih+2MOLHIaHcZzxTpuYJk2Pk5P/TIhAhS/1OLzgDsElFL9KamS/avaXZZGfbSpH3vTzrBpDhZ7RorWWTazlGv1HKK0mH3uYWLT+b20cWjM130PRcCb8myxcIEX4iFXvGSlegLkIVfg8saTabVzyLfvGrdqvYDqR7KkqiQ1VBoi2cir5AMkfbVsYV6w2NNX+srhIQE5GcVpFTRJ2rwGXTihrqS2z44ZAwbe5fSFsS31PsxqB4/lpEkxeElVGMUbVRcW6aXPfzs5wuSQ1DfF9CiAf82f1SZVOG8iFPovPSEL8+u8/pu7s7iUMaQYvMZG4Jw78MfrD8IOXiCesayUP7JH0gsK1c2Eg2WDFuAOAxbOpyuWvb85umoiA/q1ieqzaKKbOfRy7ZY7xeiue2mPYM1s+N9uuWc/uejsUzUjhaHnV72+TfMyxtuC1LuCvvcTh0I3wdWF4J/QBMF+XWyL6XsunkQZX+bwpIS3eJOmEwWRTjxKu4qtBOp5Z6HtnoqfBA3gp/e36Dw6Dz4PHh10HptHPzPlQR6X78+ie0bW9FkS137Px6cWJev89rOWDQf2efFnegfEFtXnhe+3ehGsv3SbeisGR6r+3TpaH6oa12h3F4rp+QYwdd7l159FvrB7Lx//OzJR4oih1rZI4Zw6VtAuZCPT/TTr0Pb31hS3iSx/3Cld109vQcrCfr9/gpNHzSKAj0CTbXfVY1nVE6q2wpxmjCH3yUDNc/IH6/yVXySFkulXkUV15nlXRkhomMZBkSMLOFF7RzCeHMvpFufn6B///X2JIpBTWp29TiTL6ndwO/BZLyKJn+xinQR0rfiNGvoWKyEOsWMc1MrKeYaR83xJ+vtr7M1egmPicLagGx2L+94t7r+0U+Bbi0iWsxqNs6K0ISv0hbfMG9GuHmtW9EFpFPok59S49CHpyVAAJDuHk+zqf5AeQd1PX1RQltDLCqnN4PWvfTwEyps974lhvXTvVHBaBda4vf/g9Hq30ri8SymJIfmatU0k6bIputA6VvGQKHDwUYvynwVsjE4mlIDszVmKEDSMhRxA54eiyFS4fpj4+2rjRQSoo0kqwB3XqjArJqE4E8Pse+7YlgXOshQ8u4HMxyA+oniz/UQIGsYSGquzCCVI3uNhgtrMYbMcNq9S6krgkDsyZSFLQ0nEQpbDpJrIBB/xN39rhTGbrTMJJQj6Kq5s7icIAyGNy6dmFOmwpAMALP5tuufP2RRT6OUqoSlS0NX29Z8wUJsC09INDBujU4fGlj+7fwgJhmVBQ8MBlPgSIOX+wyQYxiIC1FGSErA0mnYGGsZiEprN598+wc7vvyg2QqV6eZ27UvA3Xg3HkfK/+Ccenz9L6Fr+qiQxVOk7jaaA8vEudukPermE9wEU+IWsv5q676HuIjmBaCtkvxAdH5QgnYtcKparWicqBqdlThpGs8wZgw1DIY3LUTosinnYRzObbwINw5BNgUIvN+BUUOAVjtYyNWYo0BidqFYB120wgZOQA+isYwl4eTy5CCFsmBURoBY2RV2zIF+9C1rFJKSTPpZ4jcvmBho2yVKwTotLkEkTywKDDZuaoKCxKwlBu9R/hNZBuVo0Y3R05OIf+K0q/outAf1ClmOk8qfQ3Cr1xMXgZkzAcB/8X9z9nkuP+O9eGpezIveip6C+KmnoMXKOAr0ShZq11VjJ4rx7AXvOcfPHIv7xd/+NcAhchJi80FPDxvN2GIKPi47nbOUuixXnWw3dxcHnxLR01rBYOswURYC4trNZJCV7LLNYKzXy/tf1McSgFUrT2DghDVQ8/NJs0CCW4Y4TOK42udr3ojunPi6B78Y7qTtdfUC0+okx0+YCT5vyZZY6ZSYh9j5wX0GqrY3c603B0NV+GF/GUYT0HkBMDCntqGKgz1nbHaxn+DapMkP565CVUJvl2OhztyAqG78JVRjdPKngt/0iN6q9JX/Onl5hFZgyG1w6uiWme98V9oN6gP0VkvR5HYk0D8IesymPiWHcHtASZ/CaEn5YdA8ZW+QFArybt1HsMH6wtKdiBzY4qGaA/JR+SpGRWiRI6vxR+YE6IuMCZJxB2E8pmyz68hw3YUBl9ZqMSHn7NvjPJkLnIHA/bgYjZi91Be7zjInQdpNEJyjR87L8hTzifYVvkmMYbIvcIv8w7Yxt+9P4a8rtn2+D58sf2BcaTxEczfloBB6s6dt9u1VNQeX3fMJ03cZ6CAEw/g3pj9kWjqNys++28IF9eQk3LgkyCYcdpbM6TgIU/3qOJLnf5LyV4sPBcH+di7PZ5ORGfj1m8XCI+4EnxOEhqA81J8gBoNDLNg8VayTjfIA638SWaMGkOlfoNhvE5TughxlkBn+AfJj+/h61UW8Vf3dWVEQJDQ61dmmhZn0d+tK6/v209/LJmXlL3ExXKdPDT3s/+TLtmmrMsZg51OjK1ENxsQL93Dpk+/MQniH5z5Lv+XRK0+QhNzTvTbLpyV+QZhGOZQ6QheWV02m3CJrvoK83aEmApmKpcnXnVQbjotKAovpqSHWkSXowhHkNj4QBmP7ZmBbi/cuAh3lVcbbv1mB+k9k7lYLsI6iC7Ik1NNUga70QXasQHLSnT+dlpfZxJ1MhA3qqG4tEDUhJXy98cB2BW70dziyLYylpSotYcy8thFljXl8n/SqZT0P/JicrqyJAiFhfsFyWCdLL0L2mljiKl0XDRgD9RRJSnovyzVgq6fO7ubv79+ZNIFft1FMLGc0GSTaZrWuz4npXUZwpUxxCKSm6yPkyyRdqZsiVzsU7qouequmYEAlLUAyv3Vq2VeGUDWy+wYoOprkyU2mOzH5cFvP86pO6/nOZs4H+EqNLMa9YKnC3RiZ3EslMBbAmPy/KUEiO+uRWYELB+ZACKcXpPaovKaocQa1YBJJqHLvk1ha/lWjyh+JeiEazfE9i3/LKpgD+A8gLuZiwO3LXxQa0/cJpcUReKfuPRqnZgSaa/EYBzhyz6UyfKXA6fM2QijyyuTvWYMFFWA0S45XA5EAizHfrIpPFb2NcYCZLAjUnp4NXJCU5K2fYQI4tjw+iXKiPrIUiqeF9fcl+cmdKle7QsDvpEIYheY9gpR4IrDMBjPqRBa5IeOlt6FWvXN/ZpurXqwdQOo4t/NLq+YIFgW2/x248Dk1h1PrYGPU9oSQdoMLE1ZutWvYQHSdLbXY2Z5Lvjta22barB5XgOACh/2Uvk/gxpTZt7Poi/QsyMOrkUPt+SpGIHSX4pLI52lI/QYyrHYP9JpEtF5a2ouO2lZgT60wHhD1T6tdVY5R4884PImHVZe2KeC598lRiUCck2T486XaUwPjyDBzgzyoCz44ZxWWETJ/sfOZPyFKbZkmsWl+M2/qn3SmlVD0hJ3AzS3EZZf2Kso65tyvbl0enfuPF0fLrcjD3Ch1olhDgB0dmP9OnwLoaGbRPtD99u60Ig63qMxZHMl3+x4RnbUFt8XNu/n0KxR0j2/ifYWD16PMG8hjqP8JnV9/YLPP77st/4eijjgGQuM2bT/ooA+7u4M5x5qF+IO1itlxmZ0On3ky1c4nLfnpvn6j/EjuR5hKSFCGRKgLAymf7M1rZsyTP0B347137+bDd/vl4MQYenmJ/yttEk2vAx5rFYmaSAvylJ/QnWp80h6RFaXj4kFz9XJeroQMwbWobDLAmtnvSpaudLVVU9PbIX44wwHAwLvo7fAtM/KvG0r/qnc0PCmOkG6wmCrs1DMXpFYHXW8e739E1ztUQtOaZYBkibs4PS4eYOLc7HvHvJ+QYjY+PI7bQLC91Ld/ZoOGugCR8R9J47BwOmj6BoxObXm/cTon9cRVqs+z2sxsLl+WNGI9lPd101TASXVaIwV4Rm3s/1g0rWECHLDMtKgtJ35rszlSn6e8OcUXoOwc2ScS9/hhaWmUoaERzYTm438rgnkt+qcwlYljparnkusPFdUYeNvS+fbVySw5vSrs+hnh9sDJaHJxIrVpNEQAKqWwQPAyvyKzyFW7sOsiK4SO+SeTBkjEGo4rh6JWxfPvxj1dyRpUUlV8Rt6sgdXC8yn6MLlWITY/DmZryoGgbxNYOHvQg+H7/1wWxNHMVQqzEe1lV9vJjfe0qkU4xuP44kk+wH0Vhu5Eco9kjVrXD/VVJBcT/cY5W9skm1dVViRYRj8xwpK9PG01pomQIWECrs1YI2TtvVcLaLr03eIj43CVDOiytmZ8G8CDjcNdzlQRzShverhslQwiQmfPHEjLwY7wdaxhzQ+wnXtSNwzP77XgkVaU/UX79vZ9UlR9BomoUlWeJGrZ7rRoxARx8LH+kAk5PdcKtw3iIS1L/JwVJskWVL3udsrrjFbq5guOTquvOg5bYvzJAoPnMdmuFiCapTssJrFaW9JIahg0FmT9GE8boawzyBexKi7hPKr2vaGdYsyjrJFfWB30vXFhGSYTztLQrnmjUFaakVmJC1limsO528S8Ojv+m+loyp8rZlOSYG4Eqgxf8GElGosqBKP4AqV1CSDPJYDSrTCYyKyWKzCKLEMv8/6NmQVZTcr24YLmhwL5fqQzqD8zXZj1SNY1KMrWUCw+AY8YItZVpu7MvKer+KMCSywTKxf6jo1OiNKIfZon4HO913vLXMojUTSQ2K7XoGNFKo8lXTyxpTvelTu6q0v6GsCHR4kHYzftvdtwUvdgWUNMRcKIMitSDNe5wslUimrDNqrT9D/VUI22qsQw88Gq3Q0v8b2gHh16s8q/ppBJ0A/VSa2NZ2e+S+1iHWwg3fcTFLxlajoYr9+3gFir3/cDjxuReZUj2e3qJ006ibpAwm5BUe5scRTDUCtq4lEhuuz109MLvr1LmuK8fxSDK9URVwi286exlYSMW0Eqz4Hoxh6+HrhY8te3B0NkqJ0eCllb2FBtUilMNGg/9r715u/50S+4hY7SZvmaDbEgNq9gz1Z/fgBTJlp2uCccoC7zBmrUT+Hxm4QMQjVnG6tZX4ynjlNMl2rJED64N4YqU6zYqN+3skbd3T934ZYZqXHiKxKLGWClvUJjWOi8L8OfCfuI85i0ZtVQUsFF+unz4qHagxU+TStPitD2KTJzL8HL2bt2X/IUFNesZOhPpill2lufy37T8bGdbhljNA9GXh9Le5mSlqdak64uHlc3p8xkerTvpz+WcyeosUEkqhjXddZZ2Zd+8cdYx4MvEQqQwc6LQsIXfJn6hz7At8qbsk5tFCz77OAvJPBbWUi7RBK+2A0sd88mnK3co1JOIcZqkC8sr5013bD5aok+7PwlkegRzAZ8ZYBh9eqIvoYZ1yLUwuE1eGo9YrwW7tJtMjhtCSmNaBBGmzz8yG2mgX9dQPg+RTf6YZqPGUVJoXXHJsmdi9+KfqJK2MPui1zOYW4jscsW5izTTszwjOnW7PJu3x3OKVlbe40sweJyN7axW0JRhsy8/FwynPi+oBWwvZzxEtuDf+AfOaYozkaFooubnmOOvEl0v2o/hCATn9Hx6/ln5O4Whsolq+JywjF2gR61QbpYr7azEf78lplA0RnS9ww7Nd+r63iTNDn385Joy5zMXjQ+9RcHaY9NOLUCP1/vir9/bv2ZB07A1J3zwUxhEyYUNgmbD3Ww5orvm/9JH1vZNKVVUXGo5Q/N4jTQDjeYxFmmWYx+JMvNR74hNG4PRfPa0sRkzI2Yi0W0UV5AmSjkSbfqRLmlsQOkRaFTcdbcm76Ja8xlKlbIhg1wtiDuTZtE6fCZu1OqxGEqaMI0ocWciBSrDXajVf3Rs2CmRpITFRnUV6v44FmE0vd9mYc3r3x00hZavh8AG18VLqP1g7Tzj9MvtolVv46QrAloPwnn9jDOYjRGT3J6+7qveq52znYGv6dMgpXUGv3HU7fJ6zPT/R2eIZ9zhPKnnrjvw7+h38kx3QilF7/D4aW0bIqVzuS5Ht5PDeVqVq+HbGPh95QNrvONWCyVSOhXiqfFYg25gFEsv5M8fFPp57lGH4tCrVF7fpkLzzBEM4/h0GbY4j0x9H3Qz89BTb52mFfyh1YJP/fw0ihNv2Sfj/IC0B335HFVsSlAEXSdVg/UPLOzp/IX0ZRi5lqdkxYmtk1Kqt7L+nZ9VW8+4aq1mWjagqOugLgmzkTNp5Bw5k6JpBc441s8RMzHvRcaQCvPJ6byZwPeUblQuO9qQiDzz0RP6epNR/RyKQpHd/f3wGruUX9KhcugkdM4O9rFKNFU8mmm9GaFXCmzEhXtkuA9fZtfL6sPH0ltsF8WEvQiF0r114r6Be+O2S8M5haED4YDGPjs0dCc8YW60pt7JVh0HgpFqR57NxAX88a/1d5rYhhal+PndeeMvq4SBaOaq6zyPzY0XYMb4IlaYtEo8YghhdF/a99OviV/FVDV+oC1c4LWgg5OQupdcJSdBP1O752VcdhCtkw9VOXRzpz/X43nZ+kdBJ9cfgFilmzu8mZvHpST4sfJeGLSrrCSSfbAL6D2yH6qjs8fxm67BXlqr3MPD2PE8JSqKttTUqSsyYVpgenPlfVR1+kdgcdYX9a4oRzhFAiszUZnQXTLK6cmzWnn/VKWWubK0R5pSBaagWXBGbGNyY2RmmtjcrFLz8fqSUeeTGksQ8kr/OZI2Ng5oNi5HNO14TrycsQ0fQNiaNiszMlS4/aeLqhpU1m5vNf9zSDYVXdtpdu5KuoLV3qoOxTYjYwe/mLYQZ2Pfme8+WdgHQxbuYdXLcrlV9MovL1vl/49FXul6HzLE4Iad7c8NGbQflsG1e+yXxKcTdDWTmay9RYItR8HlEeoeNkB+Msn6nhvmLedJu7/0qxkW/aIb5taxIRv3qOplu9wuILA60fMS1X3IEIEj8T7E+7p86neFY0E+Yqjrp5hqaHY9bL8gfJza65hxgPnZYGgPokGf23LVeyVVT/+iXUSK/9TrjaT4UsWrrnIqhlA3B4Kznye0gbfDGa4NJ7lF0M0ikH8ZGAw0VH+fOg9+Q04GtNGQq1DrqKwF7+STPfKUDij3+vD23EBWzdPGv005frCCjhCs6Gcg8J1ejZ4s3uvKaqxwK0vvqDdm8o55IwjnGpd63UtfLHI+RjAWNe53kBuHacx+l1FHuGpUIkPbK2l4ap/C8KFViL7OmxkNDOGBMyvkef0NatTAvd4lx1Z8iM5xOgM1MF4WtglnJD0lfvvhTFR3LViB72TQdG2M9Z24fdsJG2gxqh7CvAdJmRazsb0B4+BbaT3BCggB1Aqy3yhPiQaaspbV7hER2SsskD2C+O3JZ9u/CwoMFFFVwOAQx9MIvpNVCegjcDg3AkTo2ydaAnnLRP0qv3uL+uH4R7/UFldOxdEkV8/SFTqrbl3+ouSXl10FBqu/DQ8D172Px382AI+GA+8OeCCZ60BN8A/RHAgQmA+Qwf7npoALIBo5JEQQISRFk5RqK5eFuVbxf1p2lXiop8DEWN+aGLQjWlCKPaV6SYTXmx0Tg917fhPJ5gN4Hl+z4JuBtDIL7egUk5ST27R1tMzaDiwz8ZUVscua2GRDdHYHS/VMSfapPR/aARD9wepKi4Tbqqo11goaHQoRIkKFaRUV5masF8Rta0BDgwMhQEAwABi1Kz0A0eRISJAQkVR31G64bW0m2jgjNNAgo8yKqb0wwKCHG8IBBxpqZHc0thbltrwlPoDn+dkqZSDRySVhggklm+ZnGwawtHVWaKFF1lk7rf2t6ffVW/FjsFB/rWrOonpvi8R1gVb5Ibs9KV8hPyFfV35Kflp+ToVeGrUJb0JcubiBuJriJsVNiasrrmD7hG/m5joCgGl2LGTIiKVcewzwtHde6KFHXuqLyzrQ6OaasMGGmmorMMQHOt1dF3bYUXd97lLhBa0fwDR2WIghRthgD0bKr63MX9zBXsqHhtXoLi/UAauI37qnvzn9hNGiDinmRiLL48z2u3DHVcoTZa6OMuXkaVzY2kuxu/hWH2UB8BbrJHPsDWbb8XifcNp6y241jlYbr4dJ70gvDJTsvf+NEgUGSECQSJoAEzgwyZBQVwKgMoL/KqDgNnxzXkhfXNUA1IC/c4+35dzkCULERRL5CCRmcG1oskAWl7O6dE2aGfivvRjv5zDQCYQ0DbLL2flQp8YlnuzNTEcKGsgb5MUQ030b0YSFyYkEVgGANAG2IScZEmpDSgIK3lWliir+VkhjEwgoibhIAjw2YgbX7TgU+g6ELC5XtYWmLIUK3XO3fxY0Z2upC+kUgg61I3PMPbOhswiiupMI2oD4Y9goUWiAXSzLfQdAmgC7FFFVQPxhyJDzNYFBSAMBVb/tBABCGtuGnURcpA0biRncLj/72g6ELC53teWgLIULnYBFs6A5W4teWLFWmOKoK44YplvAF8Ghy3g8t0ACAydpAkzAwSRDQgn8QhJQcBucfBfS2C4ZoeIx/jBEXKQNbAaIGVwbdACyuHwrgTelLMUWOhkO5X5ztha6WL0YK+DhWeEVIYHlppIp3b1x1M0dC3SXxuwASBNgt72ps+9AyID5pPtby1YCcDipXNInGqwY4BAdQaEacP6rdQTRoVhQw82fravDVhWc9j+UEq6g1IAOOJNLUf/MXUtu5wd3BX7s9fnXD1/wMX8I57J4+djD35hfK+yKOT5q555k23SwxahrOdTV2cjLpFeJDbeFywh9MNkxhvOqSFtihztlVsiPXPXwslrint14X1Bm4hR5Ea9MInouDqkt/Fsvn8+ngXjd8myRJnor1wpRbPyxuYXxF8N7oWb66VNfFgbhpBqAOTZiWon3bUvvnYWeZQOisz1M9ajUYe9JJcaKf0Et1LVOcYd6UKUUpRk9z/wsNw2hBsuy/mcEZu6quD2E+MQ/d5phdebZHk46+oj/lhlOgaL2pN/Snf/9e05UJqV96cenNNCfSTq4rbdcl64aYCkTc+aJdlZRYlet1Ho0ESw96/wea07Jh9nqeVRCfIXnTv1UEsx8U56/A85Ol+q/CsXe/9jv//tyFTX/6CXd9iug3xI5QlmSY+X5Hj0/RWFnb558DsU5GV2G+Rhs9UWBev+WaAYAskKhuWWcUY627SQg9lKHN7l4EQGGNazHSXlI5Q4dAL2pK6EqbuhSYlNkbwkFLmzPHhX0JNaseEtxofbxHNYNZowk10Nr6j4uGsavmiVngde+X4zb1KGMgsMMMRIVFBpmCrymjrbtg6A0vjOen4pf2/XZlgRB5EJ7Nq5M3D3tLWSuVFoxPDtq6m6tp3f2vJJ7EEupNg/MtohqErthNhUrMaWXMwYSH+Q1q048M45XWlYj7ozcIJEPj2S4+q3bFaaBPxW9MTaT7BjVyMB56oTC4O1Bp9F939RiIy9A1JW3l+8ulx1/JcYr4PlQJhXmNzU+VKc12ysLeJdcY2ti5pbMu89WbsCZncrc53NGthm5uHiHqgY7DyY0fxnFWfF/oGxH8KqKB4Zc1LkQSa7rgbEd54SDghmTGN2aqlDGz4ST6N6MArcBe6TISXAsYMcgeJ7zRNh2rpgo0mwclhrOe3dwGXcMllbPzM1WDjKQcMix2B4VoWFmlmDK7XYMyOHw+3nOOgfdyT/1ZfWG6t7g2pBmT2izUAx37kmk85u3BFYMqW+T+yC+r03tkkkSg+xLFlj490MNvkUsxQyZA5nUpkayKOzqpAnrMyxrVHubghJBZnzOZo8+ZMObw8LY5x4XSVu9Pd6xtoal+9gAdMvY+bovBGbHdTPqTT1bGuyI973s9WxVE8ejnAVOXMuks2PJF9jokxEd/cYrZ7ha09IWH/v9YQE6R5y4+DLsDHdW5wz31pwckh7NvexKn5UWeLDUJa19TFRhSjbjSnvs1Z4JrZheJLwSlPtnw9rLkfxO7DKwRZmyUKP1UJK3EfWCrxmxaVAbU6auRQHPzmQ9RWO53r/5b5GW7xIdF218RSudjfI7+jNug2k0dbpNHlfV+Yvi84uYt1s+bH58L4dTSqexqLlDElHbWtoHneOTt44Dyv/1FQtRGZF8yeXPh9Z9jAkKv+zxUbBaw0We8m/q48s9cCMyckQCTl+gjctv/88wL4YM5f+5GDoU/qWf4GDB1rwkaC3RYncUYNGuydPBIw3UgaAviuKyIVlQBfnE7DXtu9F/xyOdiJTFjs4SzvkKvWNNPAkyxIfZv4e4BJ6XUWdQRBOXjIDhkxdAyh4asCILnoRsc5F2McrQ/ynMi1GHEmfDNnjDHULSy+HFjlM7Bd9GX+fslUEeaXhy+dqLapM/YQlSrFh8fMuWG8aW3aQVLJP4JrUSR+fMZ0Hj4Q//k/xNXqRs9/WvBv5H2xKIfMbVzMEHfMXiALZOYkZOVx9r1t3c2zI4VXBXOpm1vIGf3c1eu66oRcjlehF+tOz+XiJNvE1xr4JYimMveTRnDrbL4Xjd5ATqQ8u7WGnjhjLuQyZZ9281DfvvBdW8bVRnTw7KgYNyuQ9513WPe6h3cpJr14bL5mJJrtydqX21mefl709rcek1G3zKxra1bn5UPmAlfYQVSkE+KZ/vQ/4h/5In5OmPztRQ1TmKrWruhxXQosrYTjozHCHzWH1vZgJl0Er/Lt77/Xjj+leXa/v5Dtch6aUnAo+/Hb0tetn4uuHaFIrDLgBul+3qam9CUkZK8i2PfHg5mzQWA8G7yfFbyvvBqR+4uZv6Smv4sQka2s4+Nk40Nuk8Zmb0RR7KiqujOsyKcvulW9l+t5v0fKnuPPX+Ff3UdO/19HJPjvttw3Qy3E0VtD4YNenCDieg1qans3j0toZNeppH9orLVcacBBzn6PNOC4oXK4blIERuLaF20L9tPJQC6WBYi5SJsdXyZxuN3lI1O2/074XguG39NN71j//E34uPXtFhsbDjPEGk98BzjrsMAeYqBw0rtOQTtIwCP+eV7KLLUv2qCjDNAg0E9vstJMzsHDYsXkiNABlYOjIQeArvpGJtvfg5c1eo7WC6VO/s49jLjVbR714h67mGvP39b4/bdZVlGrm81PwCOT9pVsF3VfVWuXHlWz1+HtOMWNpu/SA8WYQSAGLrB0LuDrPT0G+FDOR5fhybj1+XVRIG3YXzOp++SvmtwjDt+4U/1/a8+fjiHhYGLlBVJ2CeoWrHnR+eDz/cLoaSWL4WHfEtdK/nf7fdN+TzHWu7AmQoZjwr0hgXZ6BkZJxz49INZXGcTfwATqKN0AcaTB/dtb8n4lA00V1pLs0luTSXZi4TTtDcWRqFwjhSNXfFxMcfpVSfWqxSZHddd8xdBquze5+uWsMe84S62oUq6ObnvEsFxglvNMI6jAmsJfgVwSpFhmn+Z4e6qZbP7jsquVys/b7Ru33ORJlO6bbJK3HKw5yL+WzUxGwKrdHzaGef3FycInIN1awT7xlgNrWecL/M4myF2pM36NQHeeqj6OBNhwaLEH/q6wovrLNT16Ad+8QGXnO9Gvzb/gKU/qhKP5jSHyzegtdS6GscAnArrRmiLA78pBIGLhCyBjdqWk5nRNtehJu63hFdz0oEo+UnuAwtRqRvfDMOzMVVUd3GZ2LCitTv8nYmhotV+Bf/Du+lULr1TfL85pCOZZQ5pSU3VyPn3puqaX0C1uXzMYVuGPP5r0Q4A6CRdojWZeSIbRCyuXb/oVQelziv/acYuAFdtZFSY5JHODjqGhT2hgRBbN780M5wChzJSJjOaplEfI3NE/xmegt67PU1Py9lDYjNQYbRoZLq0EMjbI60mAOjiyqnITNhdqTcV6ul2AihsxKswrXeic5TKzW5Vgz0fkm1LBS1Lt/cEYAU+b8jjWDaE6NkCaQOBOmHjDosp3LU1z+dbPhmdHOqx78O3TW7pFMu/HmsMFK/rScqpWQ6p2ULZmp+u8t4TaampXJLhZVr9LHObgWBoikB8UyC9yw4TH2wHDFqu6z4SOy+km300C7cx2qKaJ7fDNjQMVTryjb8DbYDxlt3tv4RApxzKh1i0wScGB0kJzyJjvEc5CdNyxW+Nyo1MpDQUKk6ZhYwCPKJuj2Wf1J/AYVc+H7bxWBLGz2/3+dZ4hlIhyMXbxP7guc46I/ojzpCPNnpns+YABNFBeUSY6cDhsUcdApQqKNbGL4+2A5UtXtB3PqIE2YUORz7irlJs4xMjS2Vt/nW5/3nzG98x8hg33hleWAagHslJ+YXOJLgQrHZyAjWq8XmNHeSuZIv8MQau1FW8Bnnz3HbgfPQSL+a+0Xlw/X00PAIgJvR6CLY66vmbi+3eyHdmiFKopbV1KjaWWpUDZS67f5hLGJBeUJS02CjOvjxwORZVeqzMrlr+iwy+IK7UvwJ6cdyqNW6nUkGP8+BXypqQY3WVqg7dO08gHVf622KJfKO79z2094uKxfpanDAEZcmQxMXrWiAwVjFL+Jnx6tQxIwek1hmj2wVdGZV+C8xzZ41Ci4zqHvG+Qj1Xx4jKPN3EfUk3TOseW+7GtvN6b1LxvPMthijOa4JxrMWXCZzaI38U23w0euKyUbdE7ilQPDt5mZ9+lsjJNscJ6oOco+4/PnBmFFJ6qUAxbx4GAgjUFRe15emty3l9C7rhI9YIfj6h/l8y318G/s1XPo4C22wB1tE9lqP6wWrqoJOQQuBvph+teioEtn8Ob3C/uPp831fWkPt57XnwzY+WNiWzFdWjs1F99F2RWMcrrZAohipaJSpn+i+n83D0JSTFaKp0/0lpgSfY6BJ3MJ/lRT/TeTsex33tpKjdzweZWD/ugf2zY7T8oLxYqrRO+Pby8gFPVd4SRFaI5l6WVcuAKb8X3CSzoUrlZV3OmKsh+uo7JvY1aiyA8YAHwSfIB9AVS1euCXByZ0UJxRYw9i74hQwlCY6YSwI6VT81FpFPchiLk7UnGzXC+oUr62lr7Z7bB4t9thiGzcUXSaIFs36JBGQ9mEFly3dGGwBcG4WSskueKmAlzYXP4EqMFuqcDVZNtDrviYbVu6MzRrNv0yVEhqFEuxBUT1jPbGmNV02k2SMEwuvGpr+zL3eyrpogHF8j87BxWSwvAhMcxilFzcVW5PB4cxGAJfjBq2Wgg5MEmyWLjnyYqqYHU7wa922tjV+XNQbHeANFsSKMrUsPN/1dw51kyOqUlJWOAlBQJ8fieNZUBbCV9sinQDBw8pDtA+xoHynp/axwp7CYapE8VBodncqDi0LFiBqgPAflxyE6dB9XJnLQz3WBdrKfkUTBmOLRZ7R6Thk5BeoIbkMx/lVs8T8Cws5pAdyZuiVmzXwz/BzKihazTfggN2KuXaBVFnMqj6Fkgoy3JBeDXyyouKg+4RsQEMZVnFqwgS/o2cBSPnnkOYgxefvbexiYZBca2kJmYov/Fhc518TDiQ74VywSs9v8RNZQm7oTlnP+jbCdkoQtseJ2xvpJsO4obHwgNo/jmnne6v/hWRjgEMCvtD3XP1tYaGHshOUrl3peQf5m4cSQPAoOP5aDCAFJvwhc0C+eYb4LVHhgFBoHCMV6LBqtxBMUvJ1aMh9RjXZUI7d97Z07NYc89D9DpgXupB/b4/Mtce8byHnPfrx0jguT5GXSSGJfAaLYjRriEHlykJhWzIDxMupBoOGgVq17y3+B/Ui5rQ5WGxt6mAEUj9DQ3CaO62hvpAnXv5O+Y0QCpYxoBL5wqVRfRNnOOsCYKjNx2GP9kH82217I5RI265n6NmKn4ZHR+xiBKGdVaxblbFg7aL6wTCnUc8aAEX9wdgXoIJ7p31q3XGpj9IJWMzkMduSD5Qk54uKiJmrDAwQyYefeCFSNMvWyzW+FPLn92JUOdn/tOr+p4lwao9FtK3V5KaOWa1v9g55ZpkQbo2ZcBr8ITKkaJvDyGyhzqfJhEcshLD6X+3HelYzCcbKG5bxH2YYwRKqgLrS9fchhSMn5Eg591kJs/71wZjuMmn9+J5l8AUdvYMKlhDByTxGQAsFEb8cBjIgupnQivUfjpGYmK9P3IZeU7JzNF59g56XofTPFVwErx0eKMnUc4hRompWd0iW4W9h9n3YAW3+Z//G02mOF8bh+dxQ2NPD9Qtow23CBrAVU9RCZfkVg3EnTF7PFqx/Du3pQJ4C5nMvAYcRx9aOYgubEqNQi/LdE4fOCity9T0OT+ig3fBQ9N4GYkfLo+IxvpjMyf+uzDNdy2jtMaCJ7xF5PSXRVnP9JNEhuRaS6JD87kfxYMoBNIUy9hxeV01uxX5+7FWH1pFEmsm6Db2odhYBzih9Fd3AsvYBWuHTfMdJb7L8T0Y4fKpx99HXPjwR1fxNGQsxPbvlbTHM+6LN7hba8RtDvVe4wNZNf3dpdDeLKV4TaOZgVHpPONU+9Yt7gA84eD34JuGGALA2B9t+2xDdzibHRck7sr7sQEw8L7UwxZxqt46nFSHu3KRjzLCFdqG6aLbd8dkMoTDdBV1CT9jWCzAfJ04uuK7zoHEEJ3WRS0JlaeGLJXHKSACqMavOlfYWbtJETl5Hk/QzW71FeSZmUP9RmTEjChzHgQw2/Nc5PtI63tfWc6YNCmIm+hhDUH6lBuYvEIxWWnrTcilh3FBSAlIJ+ctjGTBShhpgGa3bGi1SshP0qQLNz6zJpl/q//wsMryEuujGOlyQydrm6Gjmwy+6o5Barguht9hNZYoWwhL31BEtuyQjU7xvZFGUEHiqqlgTbZPLhEmWaNOmBXF6R4u/x4MyXJZiewbS9/sRc+L+HWZs78szdlsgCFFj1IEyNG4jmT/qJP7Au8QfXMUDcxVO1T6Y9N3jAieh/TpCUnmeaaWk2fak0if8LnE/nmL7Xpy3+a48fkfQ296LnLYsvrim/yS/Lzi0/6Ketohh9VgUIYvph5yQC7W8eg4lrSHvwc7et8Me8awefJkvCxFBMUjI6tVvoTo2QrnY7g2WkVWGYGvOqZWFdVYeuu6IxMveyR9BzHgbMoe2+kPClPnw4390Tj8fPvT2b7y1JULvH/r8J9ocE5GRkpbJgmauBvZcp4UnCbpvGpss4GDzw4+GKa75dS60cM0GUzQ+3FE2RqP5Tb9GaFVSxyFfcCGzunKSENHyf4f1sxL6kn56za4fBDea9MvLklot/Z52ylbeDAqCDSjX1y70bQ5P+HZSnTwTzalpcC/yXi0MTM0FFG9uSFvBAS63AFHAfu8vg4YUyFtbhzxEsrq02yX9Tuoo8q7NkgkTGHlbIGeoQOWEhZWtkIbYHWJz6NJnTgAEm31uyeJFCGovj1ABbWj8h8BJ5wxq6H4sfeWM01RV96LAJ52TracRXG7IiQjYkkQhrj7GdgQJ6hdlwVz0lIVniGL997ykjWM82ohlw3aEQ+AcSxI1TmTQ7CO+IkeanbbHQ2uhYg2BCqXXXxS9F8WWh11kIvtLHmuVyXpp9pYio62lIdCgt+lGZxowHnjP4knWztKQN82fa/WP+j5XfEQ/JKAQpN4jUPVrgcUeO90TuidNn2+ygKgCXPgtFudZZekxpt3p67/kClDvgfXUMdyPYbg/j9GXdWMG+TqN1teLZkmV/G7/Ux7Dl4d5zCuH0eTyGzr9UnJ3Y+aKb/NvJshSE2FOYpI4IVP/2Tu32u9Ez40BM8uOYyntDgdiSVdq9dtf745HUckkQlPOQZESF0K3hilp7unFQdFmm8Gxazc4+vU2xSZPQ5+YnD3s/jyFE8v50+aqC8QU/JL4Iw2ghf4u8J8gAPjzLcs22/jaaVar/b2s2JGQ1K4ZEJNblTDWzFvCbOv0+NnZLuz9Gg0DSe13mfkvwlkxhFAkWhgkNvsNMRaKJvcMtWbCEJylXWRhRCM6ywvi+rBhlfvwdrPStGGhaJMifiKl8HQvqfocOvqhO425GJXOUoRtGAz4+JACDPdNqirMRTvmsFOE6NsOAhRCJDfryXg9hbxSpaG//hrXb/H6PZ6f4rcjPP0StiH6R9smIo5CQ7wirKUMINQVinhBBISOdPKqcCksatEIkxCUlIkWvIrs6PaVND1bHf4oTe3ps/QHExqPEVwsgAn2YzSHYkmEw06Vt5Qd/UEVDnKGyJGj15+x0Pg/onj01JkhQziTXCoG8uypxlFGnm5wJbXu71+PRrsIQb2PQQ3Fmm2z5x9zilFPCrokuWmD9Dy5kHi5WL+D9nC3WqaKPvXNtFh/RkneiNAsclznypfEMTKATt66Ut2Ai9ViwcWf/fMozuAFrca/tx8uvcbgD2gDRev5JUdx4mdfK9ZeVbcgLcD38DO0w9pqsKdci3t/W7BobK28hx/Y3H4lpjpeOFGcjqqSL+UE7eyi49gj4vBiuw9KnAhn+ZHFdXR5MTRTMZbWI1O9TK2p3QfnH6oMMA+wqePYO4cBfRJ83ENOFEe2yWEcrah2la1zTGMyV3bAjys4DAcFDCxgtCulhUtjUPRodAmQtBemT/p2BRvOar2iog9nxbzkkBa+VTi3JkSLoyLnijeXnX6Vg5fK6cZ6MIdAyJ8p2B+okKyIoSIXRETYyM4O+9WqI91g7yVtizDCCLphFcU31cIGHYs9KIl7pdl4BTx8hQNk2lP7QQdZT1JNtef5E5nOIZmXwZk8kNFcmPH54OL/4nqjO3dMNCkMC2wiop3k2moXqzbUssMEmDUAWaKhqBU7/FPG2SpAj7Q2iZPqxtEormcvkvqkjoYR6pZn8ramdiOba4WpNykkPXEHReN/bTMYecVhegsw9ohO5g5w5gAmFDnkdVzDSwd9gtgsmj/zIkoAaJPEyIEkfiniw2xR4umN4inICeC4v8LGuru2F4UzJs7RTBQfbqPkBZXx4qi24i4gYhBvLZWEWb7oazr/NeRZLyAlN8fDjF3Aa46kTccWAP60H05DHNj7/1ywsahv04+Xw4louGEbthRrE6NLylcR/g2DDq7BSkfDcQSGrWxYp0SexbMFqOCiNmSVCUY2bW3fXV1vEDsr1asVCN9I/KCMUPGHr5iIK0i90mk5/iyQk1jbugB/NCFZS4pxZME9ph/5xxtEa1vQU4GfrqiiDRdTWp56tX/lHoP6Tw8Oppy9WrEsQiF0216n/YuY67J1/qyBnLubKz+4x64mI4p6R71WGQ1SyViIFHfqLB6WaAfwUM7mCBNXOUjShex6czEgYwiDDnlvXgissvDSyKgN6uv+IYbs93WvAnT7usdTCtpbfnyl5Y5/QnoNjF5j+0rX2564PWa1SL9rZuqcMhGIzQ0KiJAbgGrrvnwkUogfIGD0jTWmHGB22oKhoUiJxvDHCSAAnwouBWLTWLwSYdmSKIUK3QmoJoD7WV3q+WZEtsQBqhbe7oGlAkYYggrCDL8N/UD9dVIh9zEnEo5EYsDCcD9h2EaAknIBx15OcAPwOJuNGH9KH2dCiInmGgQVj78agPOz3nRHXvL9lMJu0pk+KQukqBIeVWrcuz4UXZP/SjX8i2qqViJNeriXjHNNk2dlD8rej39mYLQ++fNC74326XMVN3VjuXBHooduueQ0104Lik4FvXr2jPtP6uXCLmH1xvOykIWrRyDibrU7hwjeJQj/n/hsDknErtTTdBYPE3AKD+l3UDB3UOmbeRB5KjCLpYYJkXW55eV7M28n7Ta6+MIpuvXwkW03uYEbsVJ2VzKy+PkT7aJqkQaRZEoSIrbkST9NjT6qJS92WvktHyt+02sE6L92RC8/0Hl1NM0hPYlN6U44Re5/SSVGwakOBcq2vd1+Wcub6sL+uTN/+rz10R8H++3uv7v//Dr8Vl30w9vPYTV10sevXhH7/eX/9y9+zLe/7I1/v8b1Y/hzOX7/+jH4CsEQcZyFTey/9XGPP7iWXOQT1eA/CioIBUlgUR7aPP1hivnnGo77cHA4cmsjmaWE0UtAM2xVsOcZMjhtgMoDgTgjcWs9hMGm2insHxlJbARdRGAE+u1Scx4/Cgi331THd3wvUfHL6PFF+eP35a4TpC6/1Q+TXrf1n+lXEw2AoKNEq+t8vWMQl8RS0A93WRD8h5nQl8csrBHtQU4SwNDNzQzeiccz17tQN5TO1GaAoY8vjDRJ0TcdrA5DBvue7BTBBbOSUzaIoOClqwzZTxuMPgOiQieYyMaZqUDfbElhQF54QC7GGakhG7wzjgQHx/JjCGssNxKx5C0yK+puCNovG+mjsvCHtv3hkjZOYLltZI0tKd27IDJwuywpya5FOyJfxt5NHWyjHTroe9EIh9JinKhub54LRhsbBAvfwgZoz1n/A3+2cFhobN61W8fwdekqOZzwZgxvKy3+h88bSwPI7M9O9u3eNWYPzgEjmMG+iplKpIozJfUDvEsvvF5q6q1E8Cop2ivxLDY27S/fB81sC2sP+b6e9XxGv5Znk+kiv+lOz4H+JsrqUBMh4Wy8S3Xb312xKVcoV4z+DYG5fD//fqMW29FrQ+mjt3IJitvaYeUOV75D1EXme/J6e150iIuihpnEE1jgbxd+6YHRGSoAV+S5A0E2yqcl28W6qL6nXlx454iclykb/gj5I07H7lxhnehYd/ew6v9jblZ3RWj3bxmxxOe8HBALAruJdlie1eEc3VL+R6TpyK2jgaBHBiTWpP2L/FjF0YIA/wiBno9SYn3vc0ma1cG+IkQxHP8a4LRRjb3xqfg1hZ/2Ud03Hj/twJ9J+o46/ADvmZ9Jjt8YgE+tx8mjebEBjSGf+Gn9+p2EV9/zmKl77M3BH0kFDyL42uC48T1xPjDC4wnLFDtg/sBgP5RP8FXqE/duaPPG1DLnyTyML/U0fm29nUFSd6L7hTnwSYgSng2ZzMZcSVYerL3jRzO0xROQFWCT4P1BHVkWVoH+HGgphQgYkXyss8fV4d6JBWZBiQ7j3WuwdNV5Vsa7P2ZB3Pn8pyUEvB/5W/ejfeOwHIO+0FcJhWbG5Xk0J8dRUnnPHREVO8gQ0Xy2meHGgRHL7QZt7ztlDdY/hlEL/g2Z3UyPYgP9JLbWwOb7DxpAANazh2T3DMPGovdjvA6ZCydZ0keJ+WLUP9kAmvEWaDeAtYq4SStILmRgUS8T7Aetcmfpp1hCupt/vB9xNmXbLkHtJ61R9PDUmJMZZPhR+GJMnqAZH4AqttgZQSdVMb1uuPvUOmO7pUX4zihaiF6uQ5frArNNCOdGohef+6hfatAJ9IvGucl3uwFW0K0ySHf4UCRkd1gAFeggf22N8jCjT2iFGgN50N5hXJ6gUT0G6VrJBoGHQ+n1ylBAwsMQb1HQmgmfNNB8TzB+EKwJ1VKfrxAAefh1njuMPMw1asC9BooqD09EgMvDB4wkDxs32pDysAOqghYIDnrrdioI7agbbx7+nYqB0E61fd+/+ZezNfx5GL9NWRqHHj5yNgx6WCAGeaBh1gEpwPGpjq6haO1xNH1BzLRmZnsQ8HI/0IFfD2MDhsAHX4BpVRV7YGJp6Bw0lvUjv1d8ETIaDtoUoHr4ODMj48P3xTR8fNiwJlTZ8PZwPtR8uFp3LVeLeCvmV5Pu9g4H1+Tb4wRFTi/ufmAMRB8w4mErgeBjx9ntgv7EFcXKhDfZSEgM51hhHzfPVURxj3aId5vAT+pBZfeTLzLvNskWzsxj390d9yqBGWcBvjvYw4P6z5CAm/STvf3xGXtwvcA7BrjJQFsd8XhPhJPT5BBXFENoC39ouT9OgiN2rdY2mQyaRNqIRamvGnNciEE/m2SqPVBtN7WAIRx4i5fMkqOHm1yagBFiuLCO0Gal64Y0BZuxPvdy2PlhjYhVr/HjhsedYjyTWWLMFZPMESUgUoH9EitqrT5GF7MTwyUVxcO/w1R7v8Gmg2CEWjweR7F/4tHbOz+tZatzP5zIXz3/9fM/PPP3w59h0iXBfN1+X3+xYn9T5zf0+9W3riIH9lGvmJg2JyDO1LAXvvewYP0TeH0tp0GiX5Qd/izBzFen308BMqLQB+9nhvhu5k2ZGmTFMjgJyNKfvWEfljkdS7BMLnwJoOouMvLj/enyDC9exLM6B9e4ezrNALSn5HMW4kcko2Hel7aOctZjmRxrIy556sAi1ak5R7pCO+ktw9sgONSFEyvcNmzrpnGkZ00s69zcuBzT8kaqT3LSSpWhwa/r+7BH4WTFjHjG1R5dLYsaRr51qYxQfa8ipazVXa7dU2qfab+YAsRBO4zPfKhNhO9Im+3iy2DMrNR23i6hGdloYrCx6cmnXu57ylkeUoisPS+TSMoZD6tiKwBMdOWbldJ8OQ/Si20NOsN8fxMA7v0KUhkhhXfE8RdPxeAuk9s3QVoelteVimXFi0o20ucsWA+4ZsBBNuJ0IqrLZ3BBzwZw2UlRiNn0eGBGUm3jglnGliwzzXdhDT0hKKFRY8aVWUURbQGXCDX1VvHNW7D89ArJoyqn2nfnBsNZC3GWpTlsist3McDLBEY/GBb1aCWeq0uFOuFnK5rt9grJAtnMScgr9uyGd3zCsOx7QT75q8sxR46p1KbxAl7pc0zhOARL0I9+ykEFXHEvYNTpMnjkpGo3N3zFMt6Fm1AapDH0R1NJJYIvezPE0DHOU6iYEX/Sn6Zn7GAUhhkLj1K2Dg/3ZqK5gyqftrgbjrx+dOMdowITcghPgLRb2XuWrwf09AQih3cX3IvPe0JzHOTQJabYAkA4GqVTrtGlZbZXBhoVTgHPDYLPnpHbNoqNT9V+agl3wYUFLx88nIHZQcbuq9kIbg1qKNSOUR8gPNXTyT4LuTRoEnklek8GRHGKGcL5hrKMirbCarazwsuK4WVaBt7lJELOcE9LuE3WkbapOmpYXbfOqXUrHjcespoukKO7B0i7thHw7QQMJzNTgKlr+3xBYIZJXxITQ5TEaG9i59oJTSxOwLh2N0PKjBFWTCf2sxI/NntqdFasPEyM0zzDRLozKKRbidZ6/KP75ChHd3e5ZA2S0T2HsiGu9KKORvJMRaEvcWpebUApCiPzCQfhY23DeRnNSpmZTggA1hY2dyGi9YeX5k9trCUzFKLb4RLN0KsyHKNbItEQ4RXdumNQ78QluiWMo4QYpjtQh+4Maug2EtOqq3207hCbe/aOmY76SCp40Q0Sy+pICsfUNx21ApOvr3bgRP0mDa49Vy5uX4vd29X91cOVFwn7aftcdR9FiyOuWtl8sVCsxyQbCa28qQM26KbBC8hRO5CQqU8pdCeU0I2LBD138yqBV6qY2vAIj9FEP+QzEgpU2NgQA0UQDvP1+cyT9RKd1+Q0S1fsY47ycKqW4N2PhltNYm8ztOqEsJcKKtjU4dJMigKp3KB+vA5OkZm8YllX31SOlLtRMiEM6S2p0vpOQ7MdT9zOxMLt24nLkALRnMwo/GuxTXXPpMoptWR/nHxmHhpSEJ1HkgiSAWI4F5jz4hChrwzPkj7IouyoI5xPWPMsVs9CIiThkJIQLeXUivRla2Uds5UCK2a7kKW2f3OIgEwwM0lAK3QNmsKdC2sZnXAJ9xp8hHstHMLN9+5FBlmGb2WvhK913PuEVe9r0/kqz3S94oJzuwwaiiLNY+7KzILOGoSDuwNS4V6DoXDjXeuMginQKn8vXkNcfX0CaT6FxdhysXvXJpRf3d95WXw5b8RMJy/ETNfUvxcYchCAW+WHDvx/ewonb9WU/oHDeB+4Cxfn12I39fdFkOJ+MJqr9/oJHY64yyiDG2A2psrSFXCGtUXVmIpcAQRVglRDJg8JDVVRiKk0n1kwu18JVbWOdoSqqpFyZc2lEDRrqJ54BVxIo/FJsp6PChyl9JCqnwW2/k6mIDXqWtrWvdof6nAUxBHzFvjymRkrUugkNxXmRt7tsUcYG2JFdoJ0v8rwc/dByll6mw0KDTy6qmTzZ1xNHEUzFYnQNjraWbfxvEMvTNNW2miQzOZNGixYVLPlF6aheGiEn87G/bgip5odRwqj0M1AaLbsE40w8NBTQMklQbRbjAyQFJRKbs5Zemaix98lePWbWh+rADvsFB6G8YWa038x9rOvqz2vdDstGRyCQXbwE3PmXC5nFgi521/fTJHjoWURqyFz8+s/OJxB1+Wj0g/NogPJx39uPftExv/3ToJpVv/P6DXqiwtMDOyEPZXvU+BGQBvVZbHksmofqngScc6J6dwIkCM/poyci/zN42m4FHWtWP7m4vpPh3q1OJR7WzU2pSgTK0xOM20BRf/8qPbjnvon/u7qSoju3DBf/2jW4Jf++5ASyrqjWEGK8ynsko1Y5xx7rsu0t5f+8/Rq22mZwTclfMpPwaQyekBU5jd4OHeuHO+850+X6HsBTJSG57W8xDgwRqZ5RybJtOXFlmefXNRIA+R3nOKspl7/OpeyHkTn6rEaPWZQdU1xj3yuaexhENXmkrCfxMB0JMFe7HjD4C0vIZm9YtRr+8q12ze001fbMx5A14EY0TSBGlZRuDIgO0QU3j3RYaK3xvX1yPUurpDZSnobuHXnxf2L5HsxLiQ32I1jkTHpVwufXupOCHI0iwsMysCoJwQbaw8b7E36P+HC3dw2YucetsF/9zBUQXu7iri5LzzHV+0CfNujiIpUOMDudptZEuhau8nH9/FKP7Q7IEbZkNzV5V/9HC7b7knGIAbV6ixk8LJdkAvXgX3C/Y8K5G/l/mzAb5FZSmVw1LAB9vlPLDVthRHSQpL++on7DWTzek3rixAizy+ZeXbWPUfXMwOAgiXNoz8zXqlT4eLxb/NkODszy0i3vLzIa/bLw/eXNQ8OSXmTV/sNSiP8aZEK07d2fx9QPOFVubzo4tOl397k/acel4Db7/3FqioOXgYc1ZZOfJpGQd9cBpLm22sxYGCKat5iVJHofWykUA+7VKOdc5ppvWi3IfxANqON0HsDC6amFgozO4W8TQxcuYCvqM0MyxrtfZ7isx0CqgJgBGcVgzdPrYCfgyGQwoIfDxhaeAYFDr7Jz0cwQ7/hgi6PP8U3M3sSECbdaePYhfH3N12GgTFfKPqXOd41iqHEOEcuFUKIo0fD55laI5kjfqbTscfBmubmciFuJBTIOFEuYFvXJZQBMc+89+oaFi19xf5K31n4LGolzDsxqpL7QqACQtlbXuilrWjo3VU7dtqXTlJKAtI2H2WlayjjXsP3IinipE4kY+0mQYSBfnF7N67ucASKfRkBonwP6mm0TYY48h6oZZP9QTcqOplm72uhSQ6N9SR+sSMd+VeNyQbHnaysTmSgdS4LPkxi3jjZyJYngt1tQi77p9Ggrhw3QuljVLKYq5FM+nFpFR4hAcPmOU19806QtcGt3P1hfE5wnOV4Z8jOd7qRawVMBJw96p7z8vL3j7ajDH0aYCrWJMexwDNOHxtgggWAUSi8yT5N2leP2bS7slqf6W3ef7HuOfaH+XlM5wh3QzUZqN5MS9y6UQ+hVT9ccsP+8gz4ybGZ1LfAaJZ6ssUU5Zl5YIHm/VL9l/s8Wi4GX1jO9WXxk2Ca5gGsA0LKfnBSREDAZSmgoeKwNvDdjeRUknpd1/eg5+6OlKFcMrRKBoa4u7jHeQucU8er9wp0EBejz7aTGdYyp0EtZAH366hzp/NA9U5kCZmHx0g660aqkGVczUcO8zvDQ7mW2z9EUpxq9E2JeTmUiFt8ZRgPG/gJCE+7oSupU0E6+VLRASetmPn6tMakddyIq6QjRrxBaqBfBT3Irx+yD5C78Y2wM2wqhZKfm4M7g2h2amwvHvEhdjIIEW+QKzuTn3VjU8ABY8aWKyjoSH4NkkkUsrrngzLxH6t7AOyuBBuzyj7hJA+WyQC4PEM3BlORLIS07tFAV4qhaR+gfhwV3D+ESgHYnDcm/tF1LIrfi6MhOd55wogy8U7vlQyHQVxe/cUS+cFN8Lxk33ODkmyA9Vqkbmeu9xZZ1ZogEm7paC5yWsNtOke13MFJWOagch8Na3YzpdZ9JCLBBO8TsJFg9Nj3bKup+DylzpPQ8qyNHf+5Yw1mCGvvPM8iEiAnhldbqbVVQ8IxkbXct2+pawysnU4I+F2T3OPUfKetdkyQCKeCgr3UDBUY3F8S7AQEY8I3hQbizjNQNrjJOcoNAslWJFZ59AY0YQ6WXIAtu53vP0jSqQinfxhJpHrH4C/3r85eMat+2W5xSJP+f3a+o3H7ukjx87pzXCeJVq/b37WUdfchI+HVmjjM7qkGgvplligEs1t9ciWksbRHyBN2j6k0+YuanmYmE6+cksh++rWxPmJeLKpwa4UG1gQPz/k/aJOeKBWMDP9gOBZO1i80ZPzlChpqqV4UmqrxGhhAGGBIHLZfrumaM4LhV22QLTWJf8ScPIgNixG1vbIenAf4q+W5GOUqrnUNbqx6d5QyvB8rtdXegqADIx4spnNJJuehueC0pTJcdG2t7AXCXymEYLqGq/ECUVwYXPk1AL7hWEyu3rOEq42OmDlVetZmZDFePzYwxGav2P5qv3wGklb6kbX4C5soeZ9dk3fia361lMJ6VT82rvCyowQ/jEzZX76d73EiBZW8wRNSDVZTrkQtXCJTXngh1N6XNWoFcrMMklwgjYpbzDKCoKnx8n1Jj6fPVia09LOwV8KglJpfl/RzcryQJW5eDXPVyOLXzIb4nDRc6KoGyibW4U0HYbUKdfpkbSSkM5FeDfh8QizL3U+ad1Kw7ra3EvVQi0jFoPUpVMEcVXNZqbBXe4ydkzZfJZcwSfQdE9IO+yoPFlG0Sk6QeZJAodTjizFR/S1WqyWsynzJF6fVBazvu+v1wGsAIgzBU5HkJlIrWUekxbL1rEkk7CnD7lp1hxcQVjLsvHVc+JnO67RamewsmG3hVxwNIXvOyjURIuaFVl1DnwOhP5Cq/+TJZcUCB2meW5+Y2erg4zJCFCPBIg/yeoWI2W3xtj+/DeKBRZ06YXhOozgq5IUE/jxotBZGe1uZTnsdWTnWrCb7PMp0e08WMRv6TYfdEz902oxfVda1+Fthfw0FYPxVnKV2+h/66NciLSVt7j+KNpNlaOvdT8GwF9GDobV3bTUANthzbeLYuI98S3pNwV2+hprQ2dkVEWapmmnyK5TjWJKfsSgfVGH6lWxwW4C78apvLn3qrAhFZ/YoO6GVWo63vFpgpU/w+blQRjqiY8Ef2T6jNEHkKZe8F3gp+Jq99E99uek0JTqR5gwgJixGa5Jx2ro0ZGsJk7oq+G3DWe8ijFTissWhw151Q0zNh/VAD25OjMBVV4W4y86GWN4Rw9/IyBvT52GF89apBWWYKVoWO4WMq2C+fPIxxNhMo1bLI2V/yIRKZnRyB3R1hxeADAI4gOlM6DRQ5Mi0FndYIeuDftQ/E7YWbLb3uyc6RlL0RW6IzJ1qGJwcvA8UaTKh0uD8A0avxm4A64e5dZguWQjosOrgo5ZzjBPPxr4+EqTnLZcZ4PC0huZ1tY9uthoLrKeBLj0rwol3s2s3zItKbn1rVQ6meSagmoSVn8YiyMkofXNjjhEOrVQznYWy5XaTX5Kg8b55+9CYeWChLpLQaH/tHrzeLanz8cXIU/OfDy7+awZL03mPkvyNZhVe0633CG3UUDDKD4a9qiwmPitm8qzSnIBV72X/vrrIKbCgXwnOuvt2Y8Ftmgb60A+RymarROKT9Ks+lwWC371ADCfx1N51TaTc7HQUAOkEyXUnyjHxovFR4f5RGYZYHIIW77W1IXti7NlG68RSUO8hI5qR+uaib6skQy/JPWEeJ06+c5FV4llF+rQIx1il8h37UBLBYd7bsIJHKBxEVioIlEPkJzJs842bTYVqbMyKmaFVouMKMrTWsEUpXNDCZfv4KPSZ3b/8BulAmde0jTbN6AommrFyzxyojfytZH69xqGdrXwqZArP/0QG1OdQFhjbdbYiKz1yoBUfa8qnSqrl1NA3ZG2KRHbLJEvpGwq2RzuRzbayHXZymXRlonR0tItFb25q8WQ2oOKzl8/h9aVPUOXjBlUZNIW+uJCIgMe197MPPSBFoYIpVLjIwqPFz1M9oiHGv4Wq53pIAUDkGh9mG6bHvLm16xRzs5AxTV1CRkFMzxpeAJ+mu+2yNx2IUWsLL6iq43sULy+Jr+KPYiCUccWNja346T/farL6aEwNvn/mbpJOJCAZRzuMBurYZLTALHKM3emMaDeHBh7Po5fEOxx1leFt4G1alc3MVut6SRSB34Q/VoW2z4WI1lZ39LkHkMDOkiQnthktLRlN5Whbl8o11E+ccJdtO9ezJy7SEAekqNrK3J5Jz30gSsv+rYYH3KE2kbKkTnwB1KJNUxOTzLZsX+gGWOXvYgnvUVndkt/qk1XfaPk5r/K66rvJkvnXE3nDq/XD7KaYhlhNI8AyOYTDkcilcALEsopdr+IrApxo+2l4ppbeeUPZidNOokPnDakgQe7Ck2fpyDNB9jo3MnMaw1F5NCo6QTciiPcqtdLXUCzWGkwxyFPVwRH+A/gjSQDWkwQ5ZRD8DLnX2x3fRxhysKokVW+uccZRroKnBsxPMgzwbUNF8pA9LErSHfrG6kzaj0VTsK0EsFh8QYN1PuEtXAcRRdBSmsWeQnARnaGjey00M4FReH12TlPtZCD6fvPCPixHsAE9pMTyb6stJX80dikFje2KNKq9Z0fQ8tn4ZnIyzlcnJv9tIRJEzm4dzW+BrFfQq0kTSud+zVQuvmVW6YYIpzp/g+ZvxgQw66fqPjXvYcX+vGqyaljbXcFLgBgAAhOH3a3cn/Z6GLQIo0Agp12a8KpP9DtLD5VAWMQYcKhE3LGNRuR8Gc8MEwUprCBoD/KXR/of9R05OkpyKhUOmdTaO4VUg97TjcVYRd3MMoaUyuQoxOF1kYW0YVBSJ1zLsEshquyBuqjxowkaHr/3KDDvCA6TYFCbhEsZehjlxY7VNp/iLyoFCP1tZZxljWO9hKcWsb2uekAan3Euj+P3QItM1xKoHvdPruZiE+6V1OUeinJ6dTEBTCMqxg+a7+iF227pRbnm6klqt+3iXiHE731AOZt3j/Bmu2eOnNJmD/yEAZI8x6AcFtBScp2PTWuKSrMy7bSr3M0NNV+NqKrKCBvlWn9ESnVdaaKrR5oa3KCgrTbnYjjaAKq0J+Mlv2xeM5OnkS8+RlldLbOHF6Bcqy/Y+ghPbFH7zK0cGjtQnvcjn36npyWqAEOc9uFchmzMe+rw++XGjVUxQ3Zks2dZeaIq16FEeOJAfegYhek/2PP/RhkD9+onelNXuogvd0vErSYbLh5YFY8t5U4+K/4M5WQD/iKDzbhpbDgOQj2OVoUS/CvgQXRIg65Lm8hpvaCkW6F85qyVt0i8oyVhkWA5x1VLcA9NqQr5yElxtSWqBaRTkZ1TicU0YYhvTrRLJdkplf98uF1OLjJUqiRtalYjPSYgZHyeodky9ROrc9SQv0u01JxjIPaGYn3uEz/PDBtgjSe7WMfBWplYMNSeLTj5iZpuzraXfMQ6L2SF4gOeyGiaV4l2PO1qfoNYKJ6u2dQc9/e2Yb6EilYSugRAQ9H1mwUjcNcyVNuxlgiSg/xCUSMXDenkUEwBkFrJUDFXd2oQG4qAuuk1I0URbiMeUDk3RYomY7p6FztQ5LYHA5vqYjMD/TUXNxSBzDHmXaxp91W0JDpxOzXcJomIrhSNU5cEgSBZ+QGvAlq7175ZCJEtaRxzc0HBZ40wAeNaX3CtxuIlxedRgjax2zKCtSVvjbIO8QEMfhJWaGFFBk9jA0dzbrJ01Wi4tgEZezYLmQRU28A6VRZvWghGMMi4thkXKCyi6drnv9qCKGt1FkX0lhieNQE0mKxugsK3nZREW+piBlp56FQgu8x8pPrarp1zx68NwhhKs7wMHgZWkqZsC+hO4WTkiXt8aY12CY9VSyLHeY9k4nO7525hAgDI1ZHnbmq3iDyu/Uk1glxkH3iYfpTFV2xi2djpGlBfTjs/6JdPyWNtFeTHVGhSNLZz4nE3A2s2PqLQ4G3dd3L5RXFih0uss+lPNbgOlYo/NbQKCKcHZit1YpNsgUlCsa4B8/SeKQJzuifjGNc6cspiiyEWAGDRstwq0TWn7oSA/d7q6GCanqn+fc+Yug5TSg9nvfrEnaxbgvA0nCC5aEnbEoR4gW+PbpyjIP82yxAilENF666ZAHRCxrJ4pCeqbViGcEgu2ato0I2b0Sb1K059mJR+gSWnMpLqsXx2FNNTwBnEeG90aM88fjRasd6wuM5m8cr97omeNxm6goAkttnGQHDkJIBZY+a/jZfeJLEdUFq8tkkFqPBRrNCEDhxsZuck7bJGxZDhkrqpErgPJ93J6gmOJKjY0iS2OgLVrqoR22mpyz3UNal9r8Ca2Fznv7VVO3JhDL6XQvFmxTXJFl+n1DW5LGyLLZgldQCnXusYEr/1dbjq4G1BeU5YzjucimMkxrS7HwjUwWD5NBa3HaCQSutS8LtxwyvMEa0cvNn21gIwiVvhbIJ70lJAV2BzQUjcDUD6uSYXpWEgDEwIrJ7tVu/jC6b3vk/tw21EPPZzMcITIHT3fLMAtNhBLAPxsA3s2mXF0nFfaPB5ObSG25mzPKVWIFQLACg5Yc/PzSCQpSBcFA6A1XQI3qQM3roJFe9W4x1KR/RlU/TdqUblAQtC9UFrRFSm+zS27Ebb5WsSqAFgdILNCySmcEoQk9euCeBFcAVdxASLMDrNtdC3HaDNK6ju2FOXxMppaGwOJPxGDXzSp/DJF1CfyJmzBcsB76EUMffA8X2xFyQn/7pOE/ENzGrQLeEMIJVRouA25prjLJy3cLr9R1uEJE7DKdAz5LEJJ0DPlIIjktXklRixOWDoGV/K/yVFjXCsIUsvm79uPDGjOddCyn4/tDEmqWTUrwgfs8SLLT1nWWJzv537x80wAC93dEsc45VhKiTKvY6A/OUa1ga6MdhEKbexLIJRWZ4S0rht24AgbX/6LBmUmqd4KyJfE5KJDAcPkW5RMCg7j6b0pDjRgCgnw3OMkl0Sb08WbLpiikQFSX/AcbhlZhdcAPbE8CDHOlNk9X4FTt+lC5SGy6HfIt15/yKdTQpASVM++cwHKZc5WwJz4MdiilsGozny1wOdX/3Muq+9kf0ho+EeUtd2APdOHem2mn0sgTOcVxTJDN+jjzQMOsrhFkLviQUX6HbcUqKrFtC7XQt4XXgDyFKxqUy4KqQhuqhLQZinEtRgguZsp4WMMsG6kGaVBKNnQJJd8IK/NMsTr+RKs2yLUSpvy98+42nzGW8TqdZSQURFaQTwDSsU5iEDD4tx49/Z2DxOaAF6udKKfeyjXmIhoo/Hcte5DQzNVeUwRa8gUqGOh/b8UnQcf6phTyViLbdnaCmd2boHNQt/4y6Y6RYmYC7Y1ugnir5OSDKtXVOEnzyyYWy3cmNrnITXeQqR/hbWgtrDZoBNKjZpZGOL+PL1SDQQqKRLDWO/2+vfV6Qz7NdQreqbkXGe0BAp0QVxiKFzLoAZLAkRPOGwYs7j8s4XxRdMrU8oQRhaQyUHaLLvKvgy7yiE33tLPBnMaEHbFd5GwaTKPW4td2d4CZ+Ht2H04n7nqdzeTP54POq6n4HrYjyUYAxDjph9DqaEMGTG313tSavnBatsbjAlQSAxO4t/MlW+z2AG9oe6H+vwdKfy2gtiYxYCTsHJE3OTYUcUod+egHbRb3158l05Hw5M34mSDSUZV5GG4REpR0hgc5CNsw8AqsCQoKSyf9tQ9gmz9tNbcxrSYc1epnq4Wd3M62WR7k7I+F3CZkYpyEBMC8jHQByiBK1r5NErUCHKGDWycXWtdzTcq5CxQyFyAdGS6sf7cdl+aKTTqbh97I8jVDlqdc17vrHp5nTe6a5HdJ2nPZEQkqUJdVGgucVSQYdYsATLCrOtnRFRRpWrHLEQ//Sz1YR2MKU6Ndn6BUVyo4eJCKQxmEM7GqArMRAjdhJN1e8Subsnl6cFF5kN6a6k/6nCga6zkC4zlPPvpDnEZx4Oa+uQqHllTot5NWB1SWuvGGTY2cl0jh7Hp66aPB+CRhIm6VfWM7KuqMT+TYBSbcYa5KmoTuh15CTYQe3I2GOAnupgS7GfRSmfBSifJVMQxW/vdoPbI3cln0v9s/BM8A5ndHoVFEphdEq88siE8cUgiNJCf/SGX5aYjHmgbPIfbTmq2KfCrekr77Y10Oe7hXaawuMndbuEkKzkryYQ+39td967pXABZODPeizDM4IjX5335AyAs+i7DxFzM6wFQ95jgAgzZnA5COLqYIGLiBzGlxoXn/zm3icV2hXToG0k2/AIcQvLobsvg1h+ztqgtvW2sDASNiT3ovhNnoW9kseKGBgaQkM/abbgZzfu6uad1UzyCG6ecwN/TDv8Lrkc3/nQ2Hb59ObP2ebOOH5EJO+KB5alfH//08rZzuF/j/+zoaje/1TXzP20q58dKqKmfrGi4n8FUvktUqCZ+C72Pn68J9UhmlJcHtdUsY80MqBeEi383YjB5zRYL1+x8LQxslGfRIOcFFkmzICKsWuH2h6JUfjeKSs7mgBtg1yFkTKE3oQgP1AJ4ek/ZJNCwYyn8sHe6+kwVxH9Flcu6d1DXAtRz9Y8fjpbp1OzpE71Q1OVokk/3uGP32Lh1zCHHQYwmeEEoObREr0cDMLWpWtK+JAo9VTY2eiQVIRroCqWp0bxrAGfr7B2dV9xP5r4hDJz60p7ZST1+8NnrBZJ4X5N0s/m+keRGvm/gw7o6aTDk5y0Aao2f3/eBeTg6Ym0YfijeXqMd8a+L56RGsbf74Xtfni5oZZy9yi+D2obd+NY7/VTfiKkslXYn7auSfNjSPX44jG1Dsqmxd3T63XqeFnqaKZBL6bXo1iU1nJWbVWL4sRa3CDWnbjqmPnzOj+cXgOTe++2vvzvNb40bkGy1qVxW/KyS7fMy5BlS3Qu55OjpT7F5ZZzJYUOO7TmKaNcqtOXHNd993M3d/bT57FNL22+J6I9A664vsl+z6q0uOctLaXBbouaW1T6nnquX9NhXb1N6567jpUdy9HO3OwdyzQ+IFSZ9VgKHs9Nh7cCvCh2fiim6r4W9Rtw8jEFRLf4ZYvQbmWL6MvmZbVWRyc/t5mtbW9ULevJo7+0zdviMSObe/KSZ1fhO4Fr9w3m19b6TfU2/yW2IYo6y+7N6ZeZVjvdDEnJ01rupPd3YlKfh3p8Qo155+Rj/DeOApGnEpKrcMW4+LQLcw0yFueW1jP3UECEKHRR5KbsqzIzj11b56l5J8TLi0acdy8OxGc3l873LnEVfiozAVWyaHDIUBnUmkXiqXGZA61fUHE6L2oBvUpDjCHIXQajL8ZiaWJidmlOp5lYbGINRVLmfHMb1Xs8+HGE0ieAhIrnBI0EvlZSN5R/FTO0LzDChpEpN6yvqMQNt1cJPtRP4gilYY/oGs62QcoNS+RyHwDF3aPae7T6Hv2uWeQFLPvkYZSWC6ZrsWyLXdogxgkccX0JlYEXKjgBvjsRuBOhPRHlEx/i8paIxNd/AlK/MoiTFcUS5BS5VVyKSiLXWnGbq8zmvqEahTOUjng44mmJV028nePjHF/r+NWOapeigJ1Qu0DjAq0NdC7Q14Eh1LPijC4wucrsKoutrHVlcyu7r2MEHHklgrwOs/vRGDM8kV7+m2JwxXDJxvQWOmE9bCkjdvt3fqIMnPwuAG5qHHiXfcHjL+51JJg+whbC5RP0NL4QXeySiOPeTrL6RqSpXdU1HrJ48ADdHYtv8mmndeLa9wjN7fyUsrN7VywjRbp2UK4d1vjg3nMNz3Oulpu61jR2pLWWboXo668ME2K0hal2zPbM4pi18myVsFcXjpUAMbGpgCQMFTOc9WlpEZi7gsmwuaZSEnB9LCzgk9EIa3FFzCEPruo54XfsUyYbTM6uhzFXteMOOqU+R083Xpjew6YicvExIkRONO6gRftBBEhHTRrJoKHY2cLRvGF9v3WnGmNITDIQjyVQvXQNvxP2f04x9F8YHs/9Fl6pTg3eAqa1WHbCLoZK2UzerYRWKbSg0IJCC4JxsCMXFiJocmLT0COd4miYqS6tw80EuQJhcBQgiQ1iUOYcdU7yzb+xzuj3OXXAWHoh+YL5hX0gJrxZQlVJYejKSB4dzkB6r3AHEbmqkbIPPmiTnRBMsDDpEiwcYhD7UAqdbxq6RVaK2BbGbJszp2UlLm5dpEgHyD/vyK6aPLEHtzTqeF8yk3uJNpXBzEVXbJ85Rt45MYQYugNqjONbHDXiD5HOSJn3oxPfyNxPHjhEGkUsyc058QcmrAZpJSHrPRn0wtMm7b1c+MnOvIYxL6gRNwEaTc3s5vo+MXkbuY9WSYFCO3/+uXTUqHLpbTKzvS3mccma21a/0eZlaE6sX7oBbijIZfK3t6n1YAqVehN530hISPxAWNdDLYdZldhTKfLjPP16m/8fFeUH1D2OCW09VfSljGB5wXIee8brNTd8lwg284lwk0dil0icJv1gsd7RR9DKlvyTSJ8k+AtwlDHGxizKW/o0HW6iP3dHzDPnSRnaqyayLsJrEu0HXeDnxXRZnP4aHba2m9Ov6HhHAdppq4TW96EI4FnxO/V1dPGBAdFTIVO/au0Qahz2u1YoOPMznKy0J79wtLf1cubeRsEOmSvDoc3zNF6DeDYsCvcxAlEij4pDGaS17BN0M6Fo7olia4qZt6HBcKr4TxX8uzhbKff1x8PCkFc2Nv2tKupjKdkS+E+LJfMXmfH3Wqt92J/GE5NwS+xAVDZEkepSafhBurJNvP5/s5G6EHxFuJvAef+QG7XeigjfQVSpUTrSEryTaL4rOjSCsFAlaxn3v6AP0GuDfucLSaV34bRUv7jpsc3n1jiIQXJV5ZwRHfqdqkCG6UyjGXXzl/9OX2b/ner9r7H6eyhMrp28uKHxHHQtW2jSr/oJsIOaVJfNpe6EpuDpHTX7w2Mqu3BTK5MLGciYblF1hrP2l76zABXxRtIux/J2P26mLKFoXpB6RwauSm5aAw+0X5V5GGFCIke9+dUJxGyqMxGHmKgIik2LKaKjWLUlLh3RaWWR8wKWiyiiD6Yip9IYylZKAmN4DF7lbxDXuaa7rDb25dqRBjeGpccS0OVHP70yLdswgHfzppgq5N2S5Jb3nUiA9JtutsJsTXiykTacocrtld4hUl0Jdvw1gT1yNxVLuisfSrYGWAKBv7W8rV48NIm7vsT3fqAsBCFZue2scZ4miBt52bv6kuBvNAjihbzc3pxr82krRJOUL2ZUTNeXt+r6kQ5aYFcHoL11CcC9pvScAyn96nnYXiFknj6Vq89U3FzL7XngxZQdebAa7pdDBl/zm91WiabDCOBzfzDL9A2nOSvI5hYCJyu5MJb5U/PRbHK3xuBLaWRxnRkcvmdU1Pk+HveTnxGPjiPP6WK9A8AyAB9q4t2RqmnAJfBYLRNWqMaD2pztTe5RFFG1RQFE9W0+3Iyr2hZVaNDtUJ8G33l+1XBwFRt0m7l6vJtfbUwbR423jWnjXaM9lxjWv9kZRm/0bh/dyxNef1qNOn+Qkd14rJ7e9IhEWU3lhQtgai9f3NpGF8Ev8U6C9UXrF4Qhy9/XLM7Mdbr/aevef7peZkgq0exYur+Ypy8/8A2THP7ZDmbSyxoPf5nwP9Pwy/x8mmXK5QA8B6d4v9z2F7zr8YLz8BnzdOfXoyO9+nFHylMwiaqxYwoEP8XQPBXvU4G9flQv9jpSXp7z+3Af3XbNA3vAz05nd346NmdXNx5/wdse89dyGPvNrcPJxl0WqoVY/umZSzx/tR9NScCLLxXRUkn5+VZuI9PbC/kLnhIyaXQNn2x9KDhKB94EWAylGknHDDoVHFHOvIlGCrjOT0zSenPFC9mtER1byGNTULlpOoBJLtN/rRn/Ej1YWsPF1zRNmiToXo2TuuRv6DV1bUTlXjRzXJOIM+9pRHmGOEg5czZ52i12Oc2hjwNkO4QkDrJNp81W7vr4aIVSD4RntTBhhA6ReJramePO7jY6S4STGh18/2P4PHhOw+GJJE8uyvAMVzdj94PEDipAb1bqwWRfbXn7g0gzQEmwD5SnTtpL/aHXZ2d1+Pxi5yyOMBWJda1Xh1uLG38xuTSOQqAr4L4amDDlq2lTG9R6WpQi2L0GCB6uwLcEVGBhdICzf1MdDndXPY1hiQdgIHOxKB3yqOycq6ezi2XxSSz7aFNjcrAXKk/Azl6Clhh5Bd3Zo37EvTzj79MG2SWZ7gJqaOoNFUawYJHcZFYqKgM8+U2DH3LpX8uONsM2rRd/4oqit198JQXQwKM6iRAk6/fjtKRDqQNwcA1tBsTHTS2Ew4feIvr3RARRkXyf58EfNd8RAcjOEl82RK24DmwbgBAfuaJ24jCnS79h3GrhfhEee0hUci1VTgZpVNq5OrpfAs2fF0FAsLU6vESVsWcuV2dxyvNlzdkT6rQ02yFGT/Y41ODjSCPttoCgCWoAvmQg3tQjuokq+FK2rJ/XTEoFCGt9W4bgf102cGyGP3jZOL0lwC0ZzKYKvmQxBlvpt8pGopL6g/pVCibm8Wu5mPLHFhuUxoK/JqLnEoNDiuZKXRI3WRHjsf3QzPE6ElzaEkopqSAVhuLarkkd/3d7ZA2piyUUq39lOAJrnvGZQse2FCpTlcH24ZkjNRQ4p5uhiUobEF87+IVc4P6wkd0oqChhW1vpIpfD6Oe2Jywap6Hn198Q1R13QmLBRwDGBfcqK6v442Dtt1/Fdgw20mnpT8iHfpKBFvTyQxAI8eNDEUkeh/MNHQAndDR+ojVBs3ykDze0FqayYmi71kMb5zucPEuQxkulf8RrW1fKeUNSKL7Pa8EDA/15jclXxENh8VztRSYbF2/aFIBqj2hjUd3OetrGNbx+wRgcQf3RTNG4nsZCSX8dwn8XANSJxdmug0CMsIEpac74AUsZdiTWL+FKKCD44wQnT9BWIG9arns9uvu1K2NZ6zOXvzcp/O2zxUeK0uewm6rxrGOvdr/HE1+v1hcMkbfzJRORLBYLWe5VZp77wAZ343/emg3AqD7tw/XpeBFEmfHS9e5GuzrWfYnNhdG+fH/p8TWd7Rb9snwys2uPGSRaytXPic0VylDNBhRyz6P5SqAzdKHKl7GS/4VMai7Xco023096ZHe8HNJeET5Vv8qfRQFRysJ6qg1aBLvZBgFays7z+Ti9gUrXOpkVj7uJhHZbZ1t4ZlJWppfvPjN6vvaom7J28E1wmWin4uVkoxInfiA0V8YGOS+tCy2Q2YpJGLc3h1VVjV+tEOjvqA39GgcS6Vx9BN9dWDTWTXH+Y6EUJ0UjyoB9s6bvNg5NrkaBOWZ5S1i7k8hhLDTSuhsRWeYsX1n2jFrBkol4ID10oYAn2t905N306dVlIMryeczID5ceHWVZHkFbkLWhwtS2B8yd5HeY0ghGILxmzqzAtYhroG/ES1kXRuBHkAdPEndLcGFV/tTa3sQkknKfrKaVOHY1rZIcIT0GJQuzYb/+ke21Z2y36VZZX+Fv2hgdlRCwYDYEkSRpFqtEyONOEVIa/NZ2CKIBhXMavLTYja+u/Ybviv4BlwayveGnB67mq/pp6cikGo0yPeCLn38naPmfNTX+1xwvItFjX39M6QrIiby59pIwnKZ07E+qtmg4Au92Cfh1B8B/7wOSWDaqM4cMJgS7s1abxPWJQnxsqSIS2d42UlZpXIaIDKA/GBmn2DgNDD99yudFY7SWM7zTGi2WFhZVBn0dHC44ZAhSUOvt9tHOIG8XmHFOVNEhIdKbvTPOs/AkvtXRX3NvrFdBpi4VWyURUsiBEsOsYj9/zd7XPlwSDOsfScH2pG/c92h+B9bgz7H72aAZZJhvBinUyKhkWMfqxWClR+KR6KJ8hI/oR0eAG89lfHdjfBKilj2DQs/QwFiUHGUp5O8ESL30992QLauGTYincGzz3RaW27DZ9NE3g68kbTZfItRtnp2lyYJPu2NJC2B9gey6FmGzvRKCDgJnqq9avdBNpRkgMhTBPakK0ecKYCwf+W6XXEMn5atYeZBRP4Zpfy7M9dLffH1z/Zf3ixODiaV5WnH2/KNL0q2jIa0AJfxjwTIAj5N79JEWTkgg79gKYSz5yYqafe0rLtVLSaiGh6r1Y9xZ8D/hw3eeO2ZiwGt+4lelB8pPyprWZQcjAGinafTyCCimClWvMy5rek/J++R8MDbKeuqyCfbDwV0vkrPAN0HsgOZXPJrRes0h+9IWT1xf6fyxVuM4G8Nb8wSFD9QJLRwmMXKIOCAPN3SzVNXnRH8tr6XO4RaTlANo4x8hxLj3P3f1LjheRxbg8HFyGAG3vmVm4kNsi4uDXOk1mHi1b6AJVVoaa33Va3EbS3CDdKmd+um0tXaajwFON7Vjb1BAF7h7mdXeh+zYFKrARkYg4vLGkfCE8JNciOHuHJ2trwNGBOT1SliDf5mA36kEK/jf5twTmqUdBHdqcmHN0o3HxgjRQVSlXTXo1YESwdL5MdBo8D+QTlsG4X0+4GwziHxtWm67M5Kw8RcRTWYvsfSCjFrwBCjO5DjK+eO3O9Fm4ob1nsOFUj/DS3nA0Gtc2pAVPSpz0URTVD4q4gnNF3SDIf4FgLP/CwiSlQG3IX3+UzmpPYjc2RPkcJ+UMlH89SYeepMIPcrffNacbVzUTAnUNSr/0QeplQk9O3u6pgwBlcWdja5zKohBeZa6XyDW96qWXiwoChwr/plKWF8U6pm13AXpdcpkWKbl8P4ZXVurrcJcrP0cG+OxqaR7vnwh0xbiO4zNSvME0EJ3eP0l2mCsZXVYMgX8OEa8+g44XSNG0gGdxbACE6CPmW2ML/M+e7NCMguQ6WL/mr38qYvD9bfKKQ0GSUHQDYmF/LJxVFeLCgsu7V9F33pToStlIk0xfoiuMl0gYxU6mk1GMJ6osMhodQDyJRbU8/oysVyf2TVtGMoU4FaIkm951tdykLaRpLLq6sr50xgvs+MnTHT5kwFTSFtaUm14bwUsgbkZx+aSPPUvuSZdvypPtjX3IueEDQWjtrapt1+ub6CMtolqfQNuD2asldgBo4oN8VlsD4Js7pfXmUfRfoCqz/R7HNSZhLhyZCxGI8y4Ih6jrtSHrq/ubSPMWGt7OLtiArdgAetPnZh4wx9O/4KVoR5cJCHg5HWkJGT8DEWQRI3TKUY2sQkMFrMlohIFPsBG4qbljpPztYUcFERLmKG53V5+CO5zYTg+s7gZZrYasD72VSb3N9WVE0M42KYGgXaDj9bVNTaWp+yOxOX2NY6dV0t+cHo50EEsPe9pZdNHfq7+KhkCEI5vAhVMUoXGSWkTJzvYHZsSeYPzanoHl8SRBPAmU2elL7viDVOE1iZLcrN9JcvsZOMbd7J6OVLrrxOXBgy/nvuZf1KcW/6mQjxPe9xo8Gc5Vfd0Nejm0fjGD7rKgCGCKxSiZTL1ra8u+jK4ttpa5xqfvR3UQ5sqDhPSwGIpUip2KkgIJ4it/QpiuXRQtKirivsM7QA9yS4b0/WFe/xpu0W+MYvY4BnqmuWluqr2OgMFQWLXW4wRn7Sos7bbxHUgbZztiiVJG+S9Oq1weWOhHbL0SeO6FkadtnLCdyRRgi3G8h2Xua/Su5Wy9/xWWy38rhPXz/nlzDvMbj6X9ia+TaUG4TvYjJanpxf3EUq0Hh41BfjwsAlr4qzFCq1P9nohjv+33vG7LWijxEVZYukIAVdmdmWQMm2FFcLwzeJVZD7NlMf7Nncmt1wBdwViWdham3158A7MZAGmA41b55m4pI/zC5Z5sG7w1HY5VoZgdcIvk3jWhDzhFLwUzF/D5N5khhiqZAFpD/Itc9XIe3TLjW3W8JpELswhhK1UsXE0nn8XoKNYVq0NZ/Rbl7Gyf57448ABO5b6peCOZRxgFifepZgRt4Fxxq82jUFLxKEK1NpWQM5WO2TvDbLN5vykCR6wvbVFZHLmprnxZbsBKsLeo1zD/vmBGFJF/1mCUiIFIpsr0VTKQs/r3GI0t0CVu3852/2K95oIJaHlOlSCHQwXovUSavP4eo2tuQ6vbS6cwITVIfvzrR+7vojRwHMb+3P16pWwwtrLrnbcM1dcUrCvzonFmc9xfYfs8eZ9uh51OPuQKv6VXDce0W/9KBy8/vpn18iIU6CGm2F3VjWfGUIAOPSxRuTUItbqruPexhWh0jpJw6+NM62AoXHkzNjH1UNnnUmcCxI9buJhAcyoxpePxmQNa6Z4U8t6SaymGvNnCZd03F4//bv924wtVQMjPcEMMeUtEmO+UBhGL/jYo8Jaa35eFf5+Ey5haOPuWdvY6fa51AzkydQM/XY1NYj+BJhG4AU/j31ww1Mjjr+5iT8mH0nyRGr+QSZNU/OMycxfMOJwEBf/J2J5YPhqdA0SFF8BfmAGHID3r3kEtkYz7gcNCsdWllYUImWG+n8kROrm4prXNnXu9780CH2sl5qm3ysB1vDzgoKyScRLoUSD7W7EIj+5FLiCHceFXrlBFwI/fafpZaX5iyh/nKxMJmw8gR4ulduO4fVMmnwJ0j/q4A8A8ZJMidcem16IHcjqCzBOoiRtfg3AgwegmaXKA8Bqm5J5gtOsPuQZj/QM5aOH4OHn+W/p0rX/jgVYV4yeZ7EDvQjevnlLkfybT4bhsxAqs/sd/5CZ+RbxIKbyBVxH5HzhP40PEY9zN5/HJHhvvT9h5++5z1vmgflhs+PeTROP4XAMoqB/GS9cugdwFSLUrJclEYZiYLLU6NO6679LfMosHfznAybXR96/vt3Jo+p/XKuODV8BA1WkCjYOwLr9B5bIlFx/+vKZX4Z/P/Z5+en3Pk+/foNff36/vb39t88/3nxxj//5/oe1niSiAzHTCdhx+yn83Mpxb5Q2CihiLxVr8OcqZ+Er2NzUhhLY42Z2Z2e5t96uIi4QLf70wnQ5//vKlKdLwx0oweXEgjkzVTUNuB4DagQpwjZCKtpoRuBRaH0ur4IOAP7wQIBJK4EKtat46iTws2uxr4GxR/dJciD6B+5K5lXA93QgBDBwgXKjdhHR7763Jr65l9jRl7rUbqZm5duECTLWSDvNK80/nVVeqV3y8I/xhHuc518tQEFkqgqBG9+pTWtK+GFRqJXbHy5GRY5LNbMlSndZlzqu/On33sZbj/hJ86ySzhxlq3clU4rLprXQTlpAoA/XQvN1iXjfezNHq81L8kO4Wc3QMz74D9zK27aps68UBqBb/zvBbxTUWccF3E7SPWmuMU0razuvswWuLV9ICX60mMpkNEA6PHfvtJ8NYVsRekWB7o0b03C4qq0zYGJeXnMrPpYuOdjNMtgwsuoALIP4BtmELcex+BwQyf9pdgc+b6RLfG9X6kbtOUcF4o9gr4e2Lz2FV/cKQUWeRlmKtJjiFXRw8BYSh6D7ISjeGWt4pBImXlTvXv4xfa1dS6V0RBpp8wxKhKTZkepJWtEqUlpsDIyC7mGQZ7DB81jfXvNLh9J2zZ7KilXMIo1jq6W4vIl0YX37ZeJ+r9SjtJlyO6dj18w2MWLqLr9vrVkTNGbm0Ia1XoEr/ATG05EKzcAWWOqKswNoaTKrJGSpa8gL5eW2lqTJYaTlwHQrhBpZE4GqzZIgD7H6FPCaxQl8rDm1X/6Z83y90MqUPl8KX8BtmkkeH8EVOTxxRMvEM85xPih53UKH29/qK3n8Qy+3p+IDXtyuCBSGqETsackvC96P8SBkLk2cQwrsWPTOPVjbiW7x98Xi1wpBjo41IndwhiC3nTIqjDUSJKxmM6aZjbP2HzzCjnrZFIbfvNFMaHEyJEiDQLWQ1pn+EkP2Gayj8RSZ9af0DDN4qqZTqclaYrBpLtRfY+8TBn/cSkcfpl5EC3qMundaQIpAv63CR0fgVHE5XHkndUyRtlfu+Ftzk6jmSHEmhhxW//lkXGMA39UBPG3XdDDVxYWRWqM+X0yRbo06Zb3jjSAAww1kIfCsJUMSUIiG5dNkyaaNcCWRiZpppqRUuEkOn6jIMKlqPZJGnEmttAgDR1gOKqiTdxoY7KXts6gxpby0zqh2o+MooW6hAuDopC5in3zpV64RDuGwPMUIM8/vYvdVEyHmPNj44Al/3xpUg+6ASuUiPh6csEA90kO+EoJRHHrakC3TIiVM7OtFj6guP+quMTu4q/JhXroAyu4GdKAdudgbQdgFm6oBwpfWdlXsII/X6Qm1eUZ74bfTxsh8vRvS5vE73JAY3j66E1IwWhq54HoYxbtCbK9nRiYzgMAan2jdKLkUsNn5z2Q7XcsW71BHwpytIJ2Bl5fZUJ8DA9Wvc3hKEpzpc05NX/C9ta7f11wvXmPjQxHeOqMFAIziy+YmFSqH5pT6H26eK9myVzh06MvX39HcGWGghi8U6eAqwBJt2/lCS1KsJ1rI78axm+5W3wcVKerxKSI5Rk0H+Ixh9lHH7ANrAZfEqxfaSsw4+3ebnfoFI2XUG5OzWKRHsr7xX4soT3ZVhUbR5WUdhiYnT2gF8nx4NerpporUFrYXceRorts4gEx0NJLRen+s7X36Ndq7j2QYGbmH2a/syLxvqu2dR7GNkDINv+c2NA82fiSGiHChLqf5AIIp4MlXDzKgxVPmd30Vbd+REngcKRgazDrrm7wkn4eS0NSuwu1Ha5pd3BizCceziOfM+YgWQzAbypIhyUgH9wN6KOwbVeFQ7OzrtVP6JgGsLg9RPrZQiu9Fwy+tPojLB2rjCPw9nqNonDYDbInPjDyeTWJR1QlGh1NnKaqKeLhUIV7YHccuNjNRhUXj3kFQU5IX4QlWJUp/Hrd5ig47fEgfQ4Ot/eSpqllZauA/OC8+HMBc6tNgrEvjc7kFfE0IKzdXVs59wT4S89Z0gIbDIjwV9+RUNwoq3DKK1fWiD6pVC2nvy2O8JXWVSGwr/a+hypek9tYWTAUpKFboDkhan8NY6it+108GxlsqPAwb5P5oK/TBren7Oy7aFeao5aeD/BDyQp0AHvpklhEZvVZoPzUfXyUAT2yFY43/gg9sjQR5eAUCfb2NyQcrrIr7NMV8kavqVcDpRGCCUsRwmYKoD43uBg0BqwmZbA0SvFj1d6n7V5zM8xuAKNIoe/liuhNsLctKJD6to/pFESLJbygWY5q+7qN85IP90ZfPhgUPYobz7qqyyZPic0ZrJ7lvErYPZBW4osud+ST0Je/guDA7lmf7oSrRn5bgp4ZKqo4kqIPeZf9b1PSRkDsZJ0k76aLGvKGBC/Z5ZidedyekNRdwmTxo8tYcCQ9NWkczZ12cWtiHtiYUJBDT6cFTU6eVcqthiRbjNAlACUwdWdBNvrHsPgGcpcABK/ihCgWOz5WUBz5Q99KTnA+ZtgqY7wV/8ItKU3RG2Y0wR0LQx6/jCdqSgHBqEM4N8q62Ls0zlsBhUkYZM6wE/GrYvXgWBmVNQE0OMwco3Tjid85K6fLHaYOeggdugLDO34tb6/zewEF0Q+apUytjkMvAJA40DTGuFIk/1nQ0FxbZrtzk3Ey8CMLV2exx9NKt9ose1a5/tp6/1O+TtwxsgdaAK1SYCce0dzLHo8Fv1cqIBt9fGSBdto8loTQMzQgqx1hXdGMF1XOtViq1Nna4jBeSwZfxg3c+c//XMEiVjBqVi8r8Dtg28gBOKiiXpuJJXUEyBj5AxwSQhsmddiru8jQeOVayWZaMj9wUQ7eVO1PHJRsBsMnkNFjSDEJQWIHcqDSgbsnLFFakwrwsVMcvzfFeUCOp8aF2VcmCre8MYW6W503PzgV8EOywV5K5DWS9GrgQPFBeJ6QRroeqqIBr8FmmuXETGTkfpGvlzs6Jh444jj374TLrJVFQuATySSYLNfjy3y94ZqZZPJgOeTz2Y3XDPODZpNVZ4GwaSrWdPVixbKJoaDL5qI1Tju7kFQnuQbYawyc89xNg0H6f2wnAk8I6U19rRH0cvq4LTi0VBoFFSd+gxZPOOiX3nNLf1FemBZpzJRhB8/BExsmklddru6VrmnFDrQ6qkfkzqqDIK6l5CqjEgwR/kmJicAGxprUsGyuEGykKX+Jpos4jisY6e2eiDd9KOh9dmFaRpnlGQeW0LIK04Aq+9qjzWs6/lzDu2Imsi23v6+wJyAw7jeseXf8bp1cZ9hRRmbjHe0N9VK/CcqEKxJ0qmIbBwCBVhFe8g5mU+rssfuzyvhaCFRxE0skHiW01Z/w1t+iUzV/ZcrZaQDjx2iXs3c3vay4RleKvfKOEMxi9krdFco8TPZVMcohILPT/BToKHS3G/Oge0yuMixYU3O44hDtoZqtmqoyMq2DjyvCVY4Blk/vkffmP/d6Xqv/3Z2bjm/W/+SV6KuU/pIFU/hgq0F4xXED43wBrP/0vTAvoRmg6BpFgb0sxmsuIAJ9CpXrPx7HXzqbZ2cvqa5faUAzxWm3VlGf+n6ugAh0Pria11nflVkWZ2PYAVoMK8midYcFTVs3K3hhzeT9biBWz5M+UfgBWRqQSDgZTzO+dyoWmc12kh4DdJ5Ou4sI6rKEZvmDYTn2pqUjOgJUAaiyAKdlbV+NQsjuemdGc5ZX1n+DiGq3BrMPw7NZ2AGWnrtaS358DoF3EMwtKqEP5yuUAMlBcuoRE1uinejMYeBZg8P1xJRbdFGDV4xwxAZwcCKsArwxBI2Hmh/qgh9gvQQE/UF8ywBQffEUTBZFgmelFRTqBYdhXfLlLMVj7Yxheq5WEFBNu/lpvl8tvmVperhysEMq1ajXdykcUZ/iik1aWuXWPlSR+p79ITq+SoQo+orZIq+HPHSdezARTS8PQs6ZXuQy0Nb3Rf+m4eAy/GJUTjAbBcD2qrOfF46S7iucP67UHRpL51BcRk17qnWs99lGwoms9rOnRXVYmh6yMXhy6rmgft+m9xxNimAYG5wqQol81Vd18I+CTe0ArZ0eAu40Tk0T+XI9m2bFTUyehaRjJE/RHyH1vUnhr6LfgUO7ioImEof7dsIVplThAJ6vs2XI1Hv5lW+qbrthCpb3cccJ5X6hdpKFlXhaf8zoekkL/oeM3RvYbcFimTn0jbLY7TaAPTCpCZ1jrfNrKXnjB1cL5rs1mGxN2th1P4vJu9mJlqBSo+z87Q/5uEObDHMYTFM+rlHGGlxNmKGDsE4FLsDujGQfk+CL1K9wspa0T2tpoGqlLYu/hmVOvYqCpyYolTiZ8AShL/QvK2euHwqbwC8/rUnY8IdUpF9S9HGNin4kKQYZt355FM0CWERhs7onqQWyuFes4F6Su6zPlDmv57y0MaHcQLnGNVQIvXJFM+bjz5PMFgGXVswOM94hFjlT1pm/dsAcI5njKCWrZalIPljLr7U7srWnxcWj8t9s4Mc+p1arMM9ZwSdrNs3PbaBMO3MRm++GA6ddIW8Joks0WWzTsmT9VKDQZAtn8KpiMAs0mZoiiRReojdtcEtlOZHNw5cF1QYj0QFaUqVpYExd2Ah1NNisTbpYRssI5xni3HOOZlgiNZ1f01oMOsLGHiDgqANChaGobCVeepR/ZjFVAftA/d9RpL3h0zYepkw83cNUtWiJ+6+zNVFv+LTFNW4T7wNk1NfWHAwzT3x2zfUJSvxUVNs4BQ8cERtYmA37AeyLnP+KXz5wqEt2tbEe5uneCxeqdxRz7UPn77HFWS04ULL4DhXh15TQhl95uVvyom+ZiKQkuroB9QN0YJgM/6285UTx4bVNpCaCmE5rxEAYvgQjzCwrNhHM28zyjudlOH7FFn91sC3HAuC7SorcrWHkWRPRer0frouUE5TMIanm2h19gmkgM+WA0tin4RevMOWSan0MVQzCifFtQ3wl4Lw6D28G0skMF1qcjJw/q2kfmW/Dojn+WWBCTDNfmamKtZ036W4/jv0BL+bb6ioLKm+g/rEirVcd9qAKE5Dz+MR327gMU/xCFLUHsY0IqXh/xsajNjuC2NUjQ0qUnmSRKsrFxm2eryZw2PK7riqPW4DrpE+JoxkHIOYcFzG0a0aFlhKSUHi14p637UVQogi1v5fi5hWd57559PT2ksdf3PZ70kFhrPoQpbLsfsTd7T86seDYjwCcRZJlfWvpZaoNGhe4clldLkOsMS33Af1pOSGqOUDupw2tungSH9eiC8RGsGE2GKwJM7wDli5G21quuyB6mFdosCVjwg+NuUwdKKpXRlmAAz2t4r6QkvZbVbPeW2DwKCGFxFBbv8GzX2NnC5apYUFqaEbjs1ovKAbfeEz1gC3BV7qhD4Dx6rj/0kIfDi0KJC270FXRBaRNCAjyoHxkebo5/9BFvKTKe4/ESUXrwMrHYYkHYqyY0Of9hrgiNrfaLY+z3F4xavPQW8AjRHJdVD3GFvnZFV05ObtLS9G/PJCGPkv0hscS64QZP2NAGGqSfV9zcPng8lsQ3UTXsJ4YWrohDhOFL0fY7iy+sSXu3PV2K3CIPZZAOTkRUrUCNRG110wkfk3MRb6nIdiNeS88Lc0QmBHGhGxhfoGPBnPZOSEcVtL1deAiTBS9+vUA75Mb7C7ia9QDwGyBDoxO80OeFsNus4naZ2yqt8ThIFQQXjgCeSKjZLw+QbxvzenHjQKiYWKfv5u1bM087DnDSoGrQO82633Ypna57beLcd8x/LXt2U6maWIIlI5nuAiN1V3N7M/siSWsSfA81YO198zGhR2W0vZnxHfyN5rAEIBDJWc3O88JUGtllWO0p5wu+qdlbnyXrAZoZZHtMMbepHEs6LvYzFmz2CxIx5PMJaq3vNyRmsC3HAqdIsbfOzKWg5dVDDWucPudZWfZDliOae9Ejsdsxm02H73H1wy4oeiG2MdudobCRjbqSsvDqZq6sanPWpu41kVtvGOZI8STfaubf8M2yPnuWuI9TrxE5ebmFkzeSgGXZve3socjFUP3s/QrPTFVj5QqUw2Tf+SkCWuOwKDM71Zw4PTNOumkNVYPSKTPVOuDlv6eh/IwYzONpRGYgVFHX9ZS8QJgusydftrDqYJvYjJiLF1p/XN0O1GWtih4rdTHkTglGKWai+VvAvo2nKbj9WDU2oO/GhUnJFLSWemllJmpgpNJ88R+jgKl5DKseljMr2BmiXbeDbxkwFV2UBmW0+yYg5aZ49MfIqP//480rjtO8XAR8YloJ//HEAtP8/ENOiceJYV0LsxYcnPkAncd5jn+jGij3E/6EVy4RDIYo9ZOdGCkz1nurs2lRthVrjDjjWSTOn2gF0VUBDE9PTJ+JspTj2nR/isQxScbqj5ElJoLPHGLqeOx1cuAYgLFO3Lq1gVP1xbupoWTBHh/QhkjwP2HYw5roERtunQBQD3e+JPC9Rl7TR8zkxrINZlqYeo0Z+ERGuODACEqMJQ2IoJisY7ORllwLY7k1MbMzCuA1JnMnXDJsPDC09PN7fOw+hemGdul9igsRbTmHWyvZELYKoEzcTRyyiLdfWdFCBeNErxF2mKSYok/qDoEooR9YOEboW8UKpnRVAXICsTiU16uROqZpRyc8c6Vc8iTD2wmOnBzZLhiLJdQHcKOapEDrtaaW1kpSBqU6ZI8KMmCV46HKUdHVbPh6nFgloF2atC0FIfdz5komHMQXvq7+OCs7UCOk0mBn5GTLKkxB+Sq509492L4bhcIy0wGIsArFDZewYNFjjl1UHOkFW1bIkSOzRX3AFvfjfsHT7ls4IEuwaRmcYpGOS/vncu8otxu8hSGRBPXHUlxWT05X+Nv3LYj8wbVfgCQSs/TJJ4kQBoMig+rJD8dqoV02lg7g99oYf8ufkbq2tSrz2WLlDap7m458YSGDfQYl0PY24ymRsLlhl92Dq4zkn4Buy44kfZ/ixyBH/lecAHbw0B8OyhVdG+XzMgYyV5zOx+4Ad65EL0r6ZSqriHCa0FHagiiNYeqZet5Ktx/IwFNLkZ0a0fUElFabZo+6qhqFanyKybdC6nqBm3rpT642kdKI3Sv5dVE5oUNGZNAJkNvWJ/Sb1N+LrVnYcJc/PSiLHvpM5VyjEBzAc5KU0hpj5tYTmjHsPt4KDLAJxFqg5AXVeITOd0+Wm8kLFJAP2HRy4U39T4cVTngotJ2hQ8oiuJ43BVkfefhpiZOZdI21DaQIBix5daOxtVFuCkPbiaIh51N+ZT/lz4E/VXh+4B4UrBtUmGLXnlhhzpI4S6uV/AU6/2Rmn3C6mVp7ApRX5V6SWmpIs+5NlPtqfjN8+4K0NGPMl+RzSAHZbi7V9J5BqZewkAO6FMt9iRmx9LJ3ardfHEGmPweQgOcCPaKlOsSzhYuhK7Y1KIAFnvbVqHhFVmbdxYqHWC3wwbbd61a+4aXoeGdVBNcc1dNl248oSIXI987tgkbHPJtBM9S8/2MnE4mEtz1WaEzowQz2+U54UbP1K37nCnWTGJ7RcWAztDbCQ3seMkDvzsn2Sc4/aM8deWEqZp8Y6Hgcg4HJmwYN8TprcpYWmS/pphfkGJLY5hSXcduu3SsByA1DXTW/vcJXWTn89U0X6ufOh+3rXhyKX8LIvkWK3/2ualIbtPzQcW3b+Upe5lpuF9Fkqtr3z5yE54NM5Xu+z0utfP5zWAY9NKToHw//TngSyEjt/BJq/U2WMxDuI8CUytsEoCMbFsnZ+WQJbbysSK30j8j68EHfsHGj32/7ePd813UvorU40wp2fBKVv0KetFeUh7Gm9fvnjiZWz46L0/T4MQqc0MqIhmRGBpOPIdRGJFp7TkSxzKmgpyFFU2pJZ1g687Z/eTQdOTXXLip6q+ShPhVBG9cC3CzLEk3nDmtd73ZlpEcJIcNxgTKnQXydyFoCF6kYxC5vLS+rDoWKwn4eJxB2W/ogf0oMPlJCFMTS8PIs52gRFZrIB3+sB+nYp3ZitjI7a6fE50wqPWOwshKMn9qL6WnsKTofD9b4stOW79PuvAVmOLrgcZhS0sXIloH24sS7DmxWJHlLip+boydoGPo57Cmaz+9QH0hjY4q3e4BvHtI2H38Tg7FpQJHW/mtAlm1BNp2oQZDYDpkHtZRZcCm6feNbUYJBCb4ceL9s7QN6IvvbJGsrXWv6ddc4FywAkqvUme1Kgp3eLVTZW9GGWu2uYXl40onpuIs1aRmO45uWoHzeTzYS3rsCUW6V8USSU7B7ObWz93aBKflB2xinWt7ASkwNlTd2Oai0XmZ/N79dMCYxuDYQOxQK/R+QTYBg8FbsmLgqRYfEvACOmiYjAuX7fJDafT3oV/6HrjpFIgUaK97d/g3czyLpgn8+VbJQAL+nJ9rFalq1XJNGS1ji5j9k//8stks22HEEYsrhukE/hG6RdTW28YbJ8zLhkVC8g6RAOgdpBnGZjqm5IpwZ4sRWyGXtJVj5sXhuPC17nt8teW48PdVnLhakltnGlovd+7KedmYQ44/FRwqCOwk7K1Y+2fZrqnCduadlsW/YtGM47oavtnRzsG7JCnb86yri6w5vDM5NVzcwOkZdbAZp9Q03JNVKhmmeLKMTZy3dKGglxFq0ynzO1DiA+nvRVYIUBltVWeCEvit02V9/rRsTg8OC7Wax0n6S8F0rBu52/VCLmRAts7jpRCVUh4Bw5CFgceayHdzioZiLV/dSNL8lYAVzghOyO5JrVokqLdvFH7QAEURP0l97wTzdM+0YyIrIyU1LJGPJ8S4qu02Nk1bdmD0IBTUIlTTxqe8q0iQzVrB0Kev82Bj+94rXcH6Z/TvaSbQbqwTmMKriBzCZqTbtyDkGXZObFVeV/y5cC71ybitm4pOvLh7cNv7j6CcgGhRcnY794/AYWI5SEa+aLJ22DxE91qzmeMKKVk0L8GAxJTR6i8nS8bwkOjdWwcVI7ux9dtPhim+b0FB4yvHcarJMdsNW0ygGjIZVGGbcDxaswPwbLa3Yt4IcTmFOUITGRRt1vkHXFksWuvOeGUOXsVQcy3s531mQHz9RGkEdwa6HK0MRZaiuI/ESuxVUC2C9gy9lfvvJIIN1vv0ItiOzbG9FLKaKXaG6h9AxFbiGcpBDwmrwcksk40uTBa32buqXS9VUTqy3vFIyN96PrOmvxGsNbpMlbLV8L3vlr9chYKNyAy++oldZNd/rfJsTMaTMvo8nTH6zbOlmcatpEOq7wZnvuL+3HZ+FnQ9LEc8g+rOY6WAtn3Km7iQcxjX9q2w/pUw1qRtg0cUv8FWDr8FKrVZh867cuj9R5Y5PA0QrPbrdTiN/XhWhb1B219i7qw25IadZuUvxYTVM0cCpQGA5VqPcmD93Zt/eNKjJSoGUyGvwGlzJx2Yro8suP5isxTXfc15nJvOKeki9L+lawWQ4rj/GAZRxm5Y6nTC4S1C3MxOjVxotdngv9g+MQN4rQMZ75ddWyoyPuy8aFuxA+ecoxhmtVpNWR1I+5SnMpykjWJj25lHM0f0Mrsjnp3e17AjROKZehy2PWxkmxwFLycNxWMpmTmysh9zLh9ZQsGFenUc7mlIxDtIcZL5cWUd6YWG3g1W63hZd62U/oGOo7qeXWgANaH1qQKdjFrv6XvaeWXLo0oO00cawK76X91dVFxgrvEFB+7ankqtRXtSYffVGy4z0dnXOk0gyrJzc35alZEuQOfNf6vhemzFq1uKhfrrVmgQnhh61xxGmb1n+ZDeG25L4/pH2GV+7TzVnBPXZkZhLJsOi/SJQmmZDWAmn2tnEgOxPyKM9MuaXJc8FZstvlmK6AZASP+2ykXPA6rKbwo41crqv+cLh1QwW4vu1CLR34lW3Fnrcga+nobm4MVOe57rjBlXDOTGif5qFhsUA9TYD5zKqeEQ9WdFsYly2cre0QfNlxCltSYF5NRSU05CGpv6TaQvSu5Nwf6+06VXyjvhm11NC9AhxeOp0lHaBDfKh9GN9jjvBO4HkbP3VF5wzrFf99roElYc22gILqftr4buqpv/SbAMoPYqd72HkowaoCy3MauKZU/h6yl75Mo2l+1Htcfy7nntBrpPMPp353nhdNpr3l4war099JJ5vIdV7GOv8hREGtEG+IC5+ITTsD5wEee9p4FSYo3R+zR4Co5gkh4+gM+sAyBOcMvW2ii+ERBVJtiwjxO/yboPQWSs2bcAxFw7+s/VyB22XSa9wVBcVWERrksc3nXCas1ZRtr86qxd/rh6S/YdTc8Nzc4rb+dd3WLclsOsRCOiGd8hz3dqv/mgVv4/FXu65V3zN0L9kb2OfZCBOTQIwIaUd/tZD6LmS05OxCX7Xb38MqiD0/S29R0R7Yt3A2TqQGC+uXLhXCCwbEztn2vNr77VQRwW0b++nL1bY2IBgKIC27PnLn59PHiY+HKHznJU9P/L4pVv98twsOXiq2dHdTTgfHrFZWnIEtEu1n30Kb6epsh1FHXSM8fZnqvoIyR7gbgAYbM2vdgj7N3DZmyU2C0lp2lGms3NavwLxc0MMKtx3sF2cMCsiCfs496LosIP1tmAIdZTJsKujBxBRgSEta26SsULXybj1lV3Zxrur5hFWti3WTgwU3yCpMuevb4XziI7BCqtT3wIJJF/bRoFa89CXx19WCmsJRftap/ToJIjdMcOZzlrqxF1ksr8lqjW3udsu+i1gBS35zQogTTwQLTnzzErUBRDvOUAkfa8M3sSpBcV8+A9N8zAmO14dSu5UQISkLXYuJJ5Q2XrWPT1h6ysnmaBIfc7wdR8QPxAMMVQ1qnhjzQ0OvWjaiyum5ZLXhhlT+JJ2n5faRUfp/xYs39pM1XK6mVWprNbCCFHNjWGYVsWapHWTrj3ocRqvp8SVbnX8rISKmvcrIGBTwy1luXb4qyScDCyTXdsz4sxfqHYVR7F0ysSbDxQ/wfCsTYVmN9sfMU5G8BJGwHM/j7P2QYnbK5t45Twv5hi9p/wZ70pFTSGzPAc/UuIjTRAadfVxGh5hmFC9oleIJkW2D5vityr7uxk+bNq8cYRCeXm3F8fk9ZrmjsXhxBtX4eefLeNHqHjGR+n2etWVtVNsHqRstitMkNW1tjlUrt/MlX3lYs2o8vF8MRjaIKjngXBXVzNnljDi6TA/Mpyygg/RqAFjNZxsiO0ifQSVjvEyG5UJRYcZwyq5467ihsVexxhAXt3M5IxNYArn65cD7I5TKvrK6rI7KRhvUNipvp/TMl/jEHvZrD9K7ZS4O6gjSxyXfU+ftKK9Pfh2z0jOA+3NGN9fM2Pl+l88PMjST/38Y6Pyj+Ye1tJJpWU63B/zIOVWErahXz6R0wGleHHa0FM9DI/DhsbhkYXIcSSjLO6I19cLakzqrbHz10NKzdXuLx3j2pgeP1/nupL5IL8NxNxkSV6Et/YpVMSKOGsc8s9rV4vGx91mmePTl6q9dIyXxpz76G9tw63u+uuus+6P7xt32xMgmhxcdyiAipjSHg/D/U9y05MNpbGcXVpPSRZn4ntmMcz8/4iFk2WSQ1efgGu0fz6SglywZEd566bVvik995G1Mab3Q5vgVdjgNCUd9wdsHQRIbsenUFTmOxykgbGVTTHmmGRxOFDJakpDNi9LYZIGyfQ3KER/iNjmTJ4FwSlmlhzwZdVNzvQrqTDpzHERGsCm5Pl/WIchH66G8bfsrcZtF7VRP5Fo6hg1PD9Dy6PfYpJ0vLBchDq3GqsYpY5Eh9umIOhDqPxBqcp2I99tjA4wCFDB8Ik+HZysKxHhv/yR4F8u06J/0UPo2xxOxFKH0pRnry/tJ3yn+uRX0Yo7GQ/hlxLsdpCfyDy2kcZ7oplaTp2ikYTE+Ojht+yaugQUO/OU/HGqTBIT2p3ExmHgigS8uJB2d8MjVg0e8q7bgQi4oJbJpcKr81bE6oNhmLw97rctaYfIUygogUA8wL+20Mvn4E75OUGty3aSTXqXusvfCooYjuLXrPPcDPvdz9hA9RrUPwJNvG5GHz8+H10cCuuBGvXRr2iUzm3qjg5/njeutu6B37IvBv/E3j5O2nhzHlG75mr8stMvpt5K5o9W5w8mqPQM2k8j1r+j+7GqzRgtgPuLHwM/rLZUvf2W5EgVOe1TN4ffOD6X5mFqWVz/zLj9rxF3jBk33ZwMzsj0SYW1+NCGpDh/pmPPmu0vxxgJ5bMiZcQTfUFcKBk6OlID/3ku3BZw26PgEeHRKoAa5v3UMSAWv8n2gE9l+XUFDKJOwg9nbxGlvqh/XsM6r5q+IRUw/n+NaiRJqxebhi3SnWNeVCnlSBjMiSHiOv4eQMieNfgZq/KeUb0znE0J/ajohcOB6DFZ571WAMLlYEGLhhnmpidl8tklc/BAMeh9kG+IQVui5ZIRtm9y+Al08WAhR9p2tZOLxMp3dLLp9+cmZdJbaOYYJh1cIGMQpcOZ3Xq8U46wkZogrMU/Jdl+CNtWws4dL/E+QqRPHbstKpMbPytSpfJ1yvUSwaA4Qldvorw4NBn1LtoSKcBkoh+TJyB3AsRYeYZ6dT6cJXVMPEq2KWFHr1PGY/aWg+c+/Y6qEu5qOoCWEpZKP4pjfkwKfJYGOvA8nAxklKDqhEEZTIq0uo3BhDVl2idHB1Udyk+HI9BCOgHebNJUZGtHVItl6XS5LofsaJuUZeolU+73ypHpkgZhN1AXORrqsaA3bWIdnTGIBm/1PKVY7nHTY4+yuJPWTO6ReDfJCQ931BczbVRNd82bssh+qKYAd+z88LaYHTkzyJDpsV441MrFqxx9EFJUmp/G5oncYkHwyERilBDjeDCaiXTXnMWGQrLwibGEdRIiV9fyxnko6yH7aMUtIi0NkJ2BIBGhdzlHTZjsesK/TARuLGeaK4lp5+hguvlFZiM7LVlZ7krNZpkAA7/wU1v058JGyxFTpvxiO+JMfzi4fnN+0TUtCw5R19x8fNufaWpsvpVVTWbsc3i+1MdRGq8JXmSnTllRR9icp2d2nJfBSyYV5tLRdOfxDZbN/hAzAacvzzRjXAIFItvPXLAGsAawBrAGsAawUDYbwBrAGtDi2caV/paE3uOMQJ26syO+8ReXNLmhO+yd1O2p6br/bBKgM+EB8PQGzfUEziIdHzrGB8dkbl+4rubFHaUdfSQi2s1kN+IR0rbkftrTSwr3imqbefYeb9U10dNc11pxTjcejAUG3gWsSg4fqvbBY2ATyLLEo0nD0PR5mz5P1S2Zl+iC03LnZQ8rb+EQ3r4NbJd41Pb4jJdfm9h8WvIi07AnSPxPfo8OeUANU7lrIASHJh2aR4mJ50/texYmMHEgXbOtFhQOU+9+ZStisU/x2d5drkLwdN4/UwJUf0ZyyFvhjhkQd+WjH6Udb90y0V9cP+8DIm1islKTJuv+YLV0tKBpeHMKYXAHCj0XYp8KwsUoQwI1SX9nEkGRlNSxpTCGnypDe6ymLVPqz2g+5ia0LO80MYxvQU17qjXt6KturtcRxMPgG7dEXV1MqlPyzwq0jqH8xNW0T1FNK62xyadrOE/FYXob7u49scxBMevbuTXmtld3MJmdGlAP67p4pRsQPR1ami1Nf/n2/4ClSNY0NhaMtHFAqnaNgd+FoORJu3CR5FtEKugLOWOmMZNWD0lAyQMAWBSYNQWATsLLniyuYCFmyHQ3IXEcM8pJuAsSUvAJL4HiQDz/JpF2IorkZdbedXoAOMb7Y9RP1bxW/0BGGGTNgWV3tn0aD1JMZvIxuJkWMi8HkbLPh3vewXqxJexAqHdRudJkkHeD60yXzrn5Ic3sOaf9g/x5w9knUvYA7gMnVT6h+Cm4cg8Mi4pCfkq0rg/gDpdINAla0YdOqcYRloyRf2czyoy4OaYqiUHX885rczRXSkLoFBIJOtAQyFBAQVuMX8cdsili9hMJySeeQAHJEDJT25kAwumcDBR0xyRB6xLJOQHuYNCFc9Y34+bBQHtgMtVJcDKSZ9mR1lgCuhDNhClpbxAkGTqGnr8rUqmtqvLMwO24VNEDdDKYmC3Shzzt5/gMuDLgPxD1x5fUuF/Uy6+2E3iYRKWVRCSfrbLjy/xTpPOQmkPyzdzkUWqnKLiW7qEDBeaUUQkxYuircVwLvXMp8XWJWaIQeNY3d4uZGrmVu4/jyt6rSZ0pNEDfEMc/FKpbjMtDzSw81SBUqA32lOl8Txh/jm2djAdHi2YCy00JJhKie/eWgsQLG4bN2QwbLRAJaUxpf8OHwt4KVdB8q47FFNzrbZdHpcCeCVLWttZFYD2FfLcCd08ixJgDFI3iZz0yKqcStXYPSkvOTyFDqY88ow5vJSKpSxZWLK1YWHd2fc+P4dmn/dS/kRGVrvnPrKT73sYtBAKc6dQxXiYSXkXvdQAgUADzP7sNtIQGN0olAGB0ciiJ1pvOHObyx4JmZUQChowqouN1OkWnJ+F+waz+pqyNioT5QfrM2NnG2dh8tTHedEGMYmbPRtjvrSyRpXmpnz3kEai+JnGfIllyIbf5LE3szGvM+tqiQTICh5P4JHrWYNsf6Ay5pFBF4VU0MZEqbZpl7Gzt+0YhbGXAAtRDnrZ2Ws6ypvfsG7ambSohpsGznxCRobIV19e+SPiyJCVPNdBk5MMkgWCaoU/b2h3l276CagYnf2lqY864JqnT9ThODsVwaraj/H9mKZVezVcUqD//jHgoZCxgw7KQ8N44ZRVf1EmOeXOUPXgvU4oyeSjkzrb13c0ZGfrOtCMoCxZU3rsNjtOfABcKefmnPWgzAz/iUt+9tEG9sO8+kxyiuBwkegMCS+wfySKQjID7brvPUj2UhFJnvOC9Q7nrqg0vBtRdPusozZ28XAWQGnl/zXkHBPqcTlGE/bIiMtU4cJaBnCsNrRn9a7+wZOm4KxVfDX9sfxx64IQxW8wSifwiQ1UUb2qwQWm8ZUupJfSG93c1FfN4wLy83su3ajEibhNSL1qQpxvnjw3yXS13cZLYqyyZWsyCksbvJyRIvziPc76tzsNMOuICCeFrmv6zViOLfSe7J9yPD66fL6ofy/B8vICBYeNjSXyob63amfdSKzluqM2CUhEqUqcdL5NGO4KtZr6D692/KzzHjWBzsTMhcOpXcDROJiDkN8aJdsRzkalUHQf/paAVjkpZIfUolDAu+aJkFqFZjYAYd2f0+790AMrr/GA0qxjRwCyXNuSr3OSRJOhtzAUaQhn+h3Or4+PPb6zg5LCctmrVkb/gVxyYxZ7RmcGOMvrY7sTds7u9886aTf2P+Z6rPYXnOnO94frMEPdMoh0p7cjiED1zrhKHj9fFty+v4ewYzps9w3k+K59xkCFNHfo4235tazmUcxjKofG1oA+gSxo10ZPQslsTB0kUQiFKoSB6VaStQP6vT3/uucDmoQptjVFoHZxQwyXUmMnsCaDQk3wHJPSXwB5mFsMftJ457Y3HY7bgak60s+OvZknbfvB50G4JBmgd+89U0s2huHvOWiHvzDs6Z6ppCJvO/YkspyHHSSPCGceAE4O+iWHeHNccQQK9/ANB/YQk0fwkwKHEMRQxV7I+2GG+G1SgeywxgnX3dUiM/8QPOJeg1pVJq07jkYbSskLzh4aO7ibMco22rRuxovotVwV/sF5uEbyMP7BCz3jLsAKiisqZ75ptmDN5V49+jTj0ZfD99Jk9qV0IS2ytEY5HHbKBtSTSxql+oIb+81Z+jKshIfFNszcnyfh1ZuCLRdcbtlWuIcFG6ajwpK3Ush+VfdiWQNGOHCINECIuBLLnqhwr2Z6ko74Uv4KT7dR28IAESs6xbNm0fArmVkyUMbaJe2vFzSZQFVC8+ViQOHosZbQyq3DeKY98cmnQMqV+gGb87d6EMpOtI6xoq7OH2Ogp+Fyg+q0C5fQPXT4lIQTSFGhkQQGpcyzHCuIrbA/UhRFg4SPNZuSgbezDyMcF108Ie5C/2CsslslMiNa1e4gnlrvXmpJeDfuGLyMjme7QABJs7+OjDScYDuMLDAxMxyYLCbuQV9csRhwajyQmHBeohyRfEkFCpIBjRDO+b+wVzSy/Y0RQctGBrsZRnwRNCXAdKG0nZ4mm0cMqPd2S4g5JKUzPqIp6hiJhNi7ERFPe6AWkBveqxtYqPPX9Q6OSwVc6gHeYZhd85Lz/Uy4xIMxfujmzC9yYKZxfcVXMGFHyj4hLJ54sZZkZtktFqDuBLPG49G1OSdf4fpe0ebH/wRS+tDTLzLWPzVkts3Mp2/Gt6CojWYA8GbURGJ/pkWtsBIQtxJAsCSZTS4AqXojRbYlKjWtLKKkSYcYCvqSUsOUDf8EnymnD3NtBzLmbNL0eZUqxGiUAq/j9CzvN1V22T7Kc/73JXb/N2ACXG+eKgulMO0uOkY430cE9qYO4hJ7wUQ3l3m18ilUzJHKv5xTTSoFAX0pk2liVbXmaeOwkGfIQY0gCShKsOMVlGdCl3u2kfWhICXX+Pkxpw5DcbSj/Nx6RhqiILFOqg/Yetnnyt6cwnXmVviBa3J/v6bdwiVhG8xgXy1PktWg6TsFYLVDLYWGqK1GoYzp1WXXxrTxVNH5KTR5hSBxu50cVmXi1Y//vIM7fE6i98ppyAaXG0scpkdSyDb17NmwAw2jgOL+RGA/UBZ+iRbIQc/7WuezU4bZXqPlwDomSuDtWTB5GY53Vwj0AKCKv6dbXBb15GUcrOdD7huIPBBEMYKKnqJeUVEsxi4iWsKi14WUcmTvtonYcq5+SrMAe7tegMFJt7YyC0WQJRZUWaAxyZoW9MaC8cRktzsRgFTQVqt1AghF6LqgM45IlH1p2L5VlN1sehXW7mMzNRJfJuxERSOpluJuFToK5kpHLtHQFhaYU95sVvDR/bPFPOAlM7yzSa6qEm4YS8aXQWYtCZS23XERCXbRahH1bbrKIBKYjs8fUJMwqKyoeSrTbQoBBzKDsX8jua2vw6SpkK++Im2fmHUxkrZjtvhGKsVGUZyte7B3aB7GSgEZxryrEr7/I08FARLNMNEaWDrjiGzsNobniaouURzjD7jJ15RVXycUEWcYtUJPUlX+RpcCm7OIDhfVakuQroWZ5oiongVTnH/Evt8SyF1MSuheqPhfCXdG6tuJ54U+OwuHAKHCdIMPVzeXzjDWzmnS72LllA0H3JqJIYNDh4XDZ50z3czP0YUtIHHnDDt/uwrF0ogBBuc6iKIfBynKoU9hZhYkJ+YEfNhphaUEWkgLPCxYLgGboAkuL/TFy2HMtv7uPCoThc7DxlPTJghO9dZq47o2iwml2K6Eo81miZC6KGaFqyg+JJMskAll+CXYu3z/giMcpegigFug0It2ifFerHkSQnZIwdY/Fhvy8Dbg/IgoOCw0sN3Xk23kR1RYFUCsJQJkNANej1d+zsMHgmpstD7DCZDvmWv+OPay+ZJ7SweglRE3YalqUR4kxxqmoIzycG+LMN3xR46DlbgL3QpTFNlXJ3S5yiduS0WARpGEHs+7pLHun2NuevevQo9PSLdz2yBQvevoRsAEk50YRrHRaH0RkMXUzIXwjFTY3lN+jiLpI7xWAMmiovq18rfXP4qQ/FoDO5ez4GEI0/acLn1X4dGH+5H+xBRYBnDgwxPZXBHpDmlK9M61Jigz+xBjHY6rvLV0BME4pX93soBBqieXXd0xaVFGIhLPDdcDGLmLavTsqb5Bx3deLLtYaiDFw0FhJ7HLk8fiTdXJJuh6tSlUszXzlg1j+Qtidw+bOX5fv241/oT1JWG4O21amMEglOoNR1kc5aYN7Fs4zXfSKGLeAHqempSZITUUdE8I5ItHSIOGyvxs2ZLLi4fxDJZswa9pes7ody/Z3fxKPdX5EOCvbNLnNK26G9BAH95bA1NDAhG0kCHqQReg0CZQo64D8jO6+fJnPcqCQgIesQ9RRxx3LCIB9jm1mzDvuo6MHCb6gtAKAATYCAw5TNFHmHm+Y6EIKk15MZQKMLZOhJzExlhU9KpHLOidPb5hI2XOHTRzpNx7CaChlvzI5DGKQGWNaHBXlrFmmd/Etig2XX0skHx8PObMlJ48v5qi6l2bPg1Ex+s95SKeQBM4K1OTOLHmPfuOaEfjJHYZKvlhL+HwVayVN1zUhNCGXKwvM+OGCdHu8taTQfvDIEi7+NSnqYqr9QC6FVMHTya8d/K5BEoADNr35BqYj7B3kVozWhGl7D9NST1mcxR5llEW0tKylXj54mS7q25eqt9hZfgg1xSucNS9yKEcYg+kp3GrG795TvaBknBFUrqBdbZQwSzUdBH9MxjQQyywCTBEjZxNes/6KafHioOhDdy6aEuRyMnvyrAZZ8f21O6ZuElD+ONmnRJQJ0ys+uScPuP0TKTx47wYep/cdnpKpG798PJzC1A7bziXhZA199bnMCE8+jBpjESyCBk9qEMyy2xQSo4kJmZlAzY0jOy4NrZf68tD3GsNvg3zEGEfQYILSDO2uiexxGgJVL970D/iJtNrgZA4vDOKJaxAhTmrOiVZt4KbkyphZwMck5CMI6QQs+OJnhlaXMmhGWTKPnuJSKEfmEirKUehmryk3Vsqsm+uWTVkOfnFTCoHvUxci05YXAkJy8CHM/PhhTk2RhH52zCDnEg99GRQLY8P3VLCcVOskawXwj7X73y/AEmJju9JH3fPzGzDh1alK3lNqPHQ1Mcj6Nopq2u7gnXznialMmgzZNgTh/Hhh74kyjF84Ov3nNATUwh13JmsSx4qC77SjlX6Di3pHtguor2nSPiSE4Mbq5NSR6HNPEr3/pc1MAfZOsQ/BS541CjRwMe45aaVtsCbCQlFfJpK7T4uqLhBgsV3y8VJJvISTED05+btzrgXfTGoGP5SUElmrBm6ZHRnFLtnHqcSWn2y20UpPkofCj2JV4FfPF7b/oJHkTD8E7aMFMkmy2AlWaHG6k1MoShclQgZokAs68e8KqptM5UklGjwIfujFOJ3p3bXTao0vm+MVXNCHs4F6l+XytKDTGGXQVRX73ziRadyrzDdFuU7dq7rKcAS2N2eXHzzHnUq+01A/gdE0ymXj+eGScaO8+zFpbMXTuidkio20Jlq1ODgjm2ZriWtWvzdDoTiin0In/Ztksqpnpg9H+syNvUkqqwFqYZsh9Tj2VxGj3/q5l7DSucdHs8uPK/7/QvUHTQeogsBA0e0vHP+ge1C5799WhYGsxvuXQqYFsbrIQNwpiD8pghl2PCDTV/mUhh5YAtu/qd4VuVeyGK9bv11JXXSx+balWEQl6u+2tfugroKtVfMI/nO2QKUK3BhD3RjBZso4kJmYKX+SNtuLM+oxOwQ3RRL/rnY7pIWUMpcWdF1qykHvJZiiCQZfvKs1At9t+K7DldNgnxCycyyQ5TiXvHVTNSrQXyxznhnnWdXaTgfU3WX0TN8ioCYjuCYYRmCZuuH0XtlZPd5ZyKGjR1SOzM/6YlD7nZyrUhIqBsqnQDgpc9dvuaj2PYcoSIQqo6Gx5lzV2a5e0NcCOUP364HEH+Z0257g/PfZfO+8YPNYyOL/v1N248zDQtTyyCZNi+JBlW8IdOGnm668xHxzjVVc9ccjysfW3OuRBqWJpWW59BpOahge0aOEH9rASumkTthyPywzptpdZFUeNVt3ooLDUqkOoXLY1EBvAQeKWs2bD1VtU2/FjPWeJEg5ZG3KDE1oD0jNQ6hcnngYM/dfkkAt68jCtYCEckRSrlTEu3jYUq/jpj/jDaU/cuznwYh9sEgLX1neOI+H/h0pRpaWNbmctM44EWY7c21bHznvFC1KKJJ+yqcamrzF14YkWrMRZkTRoCoH9dAhoW83bPzwTus9CFI0yp+w8tbAZen8bEnawKeYOqJMkC7OWrFEYm7kEB3C5oDOc6zENvgVijy3Ao5Nre2rUQ+DfjV5k2BBgf6/BesXaMFD4Jq4wG/9Z423466gOyLhuu/2UHpC+POISHA1WCt9C9KQCY5m9YhyYvwWPvRxoP19G7fdFhd85fKSHRolnTnaeni05ZMcEQAithLlg6tyaHUY/2fTYELKu305nNr32q/M4plFwy67n58vuW/Yu78Peo4D4YmyM7Vlyo/hKg+O+pYfo6vZa6TH5wsSuZDasyrJllxE9Def+iuIYFAM/WNlNO4pn/AIFab1ugLCSkCzKTUhLS7Q3rq+NxsEzUKkRNMB/21aAhIPAQougoFkTkhNfuV2yjGUVYjar5fAwk+dD39MDa3rBtAZTesq73gRDixBJrJAZGWQzOl+qQz+ndXpGqpvvmo7ksFtBOb8ZerLhXOLzz/2Hoe88ZRsm57pHtHw/yXAM/Kn8YSzagosVy2Zz+5sGFt8SQcwneDBeNxAFwNAdLv0CIJdFosa/lXh40ZKdDgZugqY6h2Q73vgGARZts3S2CW3ZxSBDG8RgX5q2AmX9B44U8WFbbbhtGzrpXzZNAXDxSNo2Q0XXx/ZDOZCC/jSXUjIuwz/riWBk6j1KEdDI+hDw4kQTaAkZGGcjORO7Vz0gPoHxWhqUqReaRD5Is3N53veLsvmnYuex34sa/Nr8zm1pLCK0tuq5/TViLhVcVkiptMwVJ5QECv6BiCYCla/eKD++eX0X+fOgS75RqxidWo+8+77SVed2beCFWbADvq8q+aOWwONQH08/S99qA421ZrH7qHt557NDgcohvbNPWQ/nOTL1zrN2fvL7RcZ8WM2irW5BPOX0PyBodD97enA57fFfJz0AXaurMpbJ3N2TflXOtW3ZCz5NhLFj9o9KWkJybwBUaXWD4sl36G4qS5iJYATdtoFj0Rq/0UBJerYl08GLlThgmUT66JCydvp4kScWT5agzOLyKAdU3JvG8EMrASVrgMBKP75kXdag3+3k4x0Py+elK9X9MJ/wVokIbhYf+mYkujJ8P0zlc/L5zs6jJ7VT/vt4Vv81du/g69kRXRyWRSHF4zo56llc9DUfD5HZHpl9iJUi+Mew/3IBTNj3K1KjBQp94aOgm/UUFcYesBoMuIRJVGmLKFQLKq+4xzrSaOkuXqZk6ZHEpMjbMQLP+S52A5lU+YOqrkB4aBe0n+xyFfdWinKdmAQYB3ugivhZUBsDGsAa1Z4K9utWI/ZftbzvdVgSzI5lVOZTSpZDuAWHHi0M6LOOeAXxriVZyix+a2JbRAl9XgLzu1YC+IsNZXbOKkQ3a6UBDqH5xLSiIMfI4juzg8LouqbPCcZCvutEDn/GuSuFIiGAyCk9hMXPL0L2WzWDLuX0qOOc7vZP8C+SCPlQGnMkUGrjRpMUJKrXJ7EqoQwM6OVksexfe2XbcKdmYQIOfCF5wMsWPN0MHgKA5CJBeGBDRKj38sgfvIwzL7YYC/z2FtJih0Kmc32BPbQQgfovE1LSKKjWvkpmNnEm7Cv5mQC5bihJveQuJK7S9pyExRY+CshAJW5fhUmmAHQvrv2qmuIvm2HI22AbbyySu2o7tDApk4d6K2vduj2O3Nla8W8YAz5ZPoCvvahloZMs/ZUjslXVbX8Ik9nqoBQD3y7211gFa2nO8LI8b42TW1zG0bVYLcLf44S74hiBgjEs367hb6hgv7rJVbYVgulTEln1bQ/hTYmbt/GBhoRuwQk0DIyCZVx/B894xjlRxUG6fCQ4MoSPJr5sENa/Skx6YTfTeTnMt+46Nc9hfGmkoeMDaEzRCoY3Xj9g0YUeeY7avTk/bX0wWrlNJ8pcLSdJf2odzqJo09Xx6+z/9RbqhFDbh6Gm9lXs1cFnYMWriojmF+yJxBZfDi24Diji85q6WsaOWvOVuWcmpIp2hvKt4MGeA2R0Pq+AVHpbcR1yBpDSt1ndjhzwZAzxbHP3N1eDdhwG8WRImfjGVBkLQuuUSK7W6LOy10qTwmmAOIUpLyYAD1cBkudQBXptz6DW+ur25+/A5vq2XmR0vXq/FToaOjOfyAjBEMyHvBqDcclQw7ye3n1U6i7s/k2dJcRhemMimZlPqChU52N5u4lF6rF2GeCIClSBeUDhROi2wuaGcsTLj0vqknqMxZanlqh/aRB+HkleLoK1jWvPyyuns+mPwpuvMh3M5v+KP/mRqDKc6Ys3AzqYSo2UMYG7eQvN1vpGC8m4eFItuSJaHbFQ0UoeCdw9wS8NqmpAhvujZFuIS9hBSF59LAj9vzH9h47/oSNVe7syBLEBJy2c5h6R4hVrWc50E8VXAp3hfMsMokke/JNFQqlom0BfksgJtq2I5r/y5/xU4oK9ezQYL925I4IqcMbrrjJD+mnfY5wUAyT/IgcD7VN3KvxC1fsNAknMTeS5LyABi7h7V+s9Nrkmw5YAAspGL7/Qrr8uwZ1aCVcg2pw2ShnKMhmQPY9JvDYsmtWei+utSgidKCdanZCMl3U7OEv97punVzQpcnJFNZf4qj6x5mDkFHNiKaWlp04TjKz4a0Q6j8ZaCNyOtDYeFkdPL+3W24iIS+38ojELBDDfW0puNW+mEycRt4TqyyQscUCgPk30GMOg3KJPX07i6iEG7IfeQMHj2Kq/sI7Uriv2d1DqXSA2NgnDCIaV8GoAgBrfz6CpQw8VXhaPcHQiSOUTAhOnssm0kYguG/ymNliKJ/B7j8SGWfN2b+daeFgaypFqbxz/en24TWfb8ei59vC+X52Yf/Q3YqKqf+z6d8SaGnw0Em+Mpt0TfWdOBXbtiQ4jOsmq7dZOMMaxbK7+ccld41i9g64pRbBueBvMD3DUnrt208mNGAAl/sjQGGQhQKNyKPR+sOb4XYEt90olIAL9do7xvLr8ZV5MBjH3dII8CKi5B/TyqlJ0Z8TKOtw3rlt6NO8JaxkJjKDa65wBKn/U7X9eQYeDIeKgnqXjocbzUNKW+nOmpzYYALTeCv3TCxwtNhXXvTaGdPJ/DSuAItaOOSMHbmiEeoo2FT6XPPRciRw2RCb91X0iC/GBPU/QP832SlPcLUUenvoVmBK4/QYDOir3yC4TOv/+fGAEkwjyycYjS8DC8J/m1hJX4yNzBG+N4G5aDcIAykBpGD41e6OvUanHt45tp0ht7zNJg3NSkNHrpYAUgR270+IYH7f3pOwYCYw/Q53iqZ/opzTME5jv7V/PbOLFyM41xHQ7rWfeqFsb0uLZg+9Dg9jZPtrQnNlKH29skXupRUKzx52WD7kguH+Lh4EVwoAkI7ccxBdLoCcc5ByRKrzBnBY1wMB7BeNZO5FBEKueN9xl1sUh/gekTUztrzIFe5ykjgbv32uMKYbzXz/0F+jJ/ty6j7Nryux3Wb4tHFEK7lVFP5d902uvvcOmbMOdWshOQ878uLyFiipF/vgR6btoeY9h2I4qKCg5Paa4816iXUYWDR34IX/Cl/KarI1mPXVFWOMaUXYEAEgEgapNuWfbXSGiSdxx5cTM5yQIg8Io0TCaP/KJvhGHXaX9iZ4hR6wU02XkswvEXx9MaVhB1ub+fetILUf0DqEDYylwXLyzIlBABayVR0B6JJvL0mrnPxG9IEYbGGZoKOJW8XuPWzKucKMjdC2BL64rCLDZ8zYTkooQKe/FmNGcSA30+NkcpjlOohPSMmXLWvFX+PktVbVZSuLNVmtKmfQJF2YLQxem9khY50SaTHzYQWztJnT5OdWV/aaMXVg6uC6ujR3SdactBuoAXudt6zbEpdQtUjquNReO+uqhJSkHy82XaszpgHgtwKT/wzfPhkRGJILJFymIPwjfYGBWQmxKhVpofQXH2CXqJVvyZcvR79L/mYrGjitkr5/78tCbE+PwJqhMHwyWo3PzZP4WaQ1P28eEsPYn+Ya5PI94EMCbwiJRS39m+83f6H5UH3ijetTa+6mZYwWlt96/bD0zuQnBkOHPzmdOlroHfsDey1iXeX8gPbJOFCpvq2cdxIbSWCA4FFFEZO1wkrO8ppvjJDuwJXEDvzg5+PUdtEPP/gGq4ebVU/dqc/zXU2T1+zaLr6BM22uRkR5+Pm4ndR4ZTCgXrqN6vnH3w7raW0/ZLZnnXvXD9PQ3FD6DAxubRMQuSXgKwOXTNWTBqCXfzMk6bvRwnT+oF2UlOpXzbfo0bKG+jbW9n47tWsLEba08IY+18KrmP5pA1ElOLlS6E0yjmVIEi3n7VpaUZaxKa3SZugatTpsQr51QJUNS5N3q45zOkgzx/cH6ESKToC75f/y1cLRD8TKqPjUwFJeuvzL92EN8VYa9e065mZahCrHWvWxUO4BwW/KSsb+MM76ZiJwF0/FDBIITfsTCl09wHYhkW+SW800KPhyGYNbWTjRWqT23W/cyD9u53d76OZxPNa81bY+d/3+QfNxWaTXc7bRt7nqmRnL43wvAWNUa+wYP1VerSVrDGQqzCokcPRyXWzzxDAWKWVFd5LeCrtq9DrHIlFbctNYIzMhRf8CsKYjCjopfpG7j+u9ux/55VhjKiPFLpDTtTAjI5KKMrUYyimLeBVE7Gg4xXJ+M3NlgdTW5QD8zHz3ysmjgQ+HsIdVSd4V9sDvR2ANIEBzP8YW6Cct0HvfM2E14Y9B7AYoHX/zAl7m5Wv7J4rba7DBs7v7zSXbKA6OrXOBTo9YA503BPShtDvtVuyRLSqSrOn3LDb/ZijZW5mzry58Da/SqczKEZ80N5rOPWqYtKgPZFKO8K+9eUrdR+cpLTP/V7h6MW8ow0j4Yv68SSb03n1Oe39joeq8nX0kdEnvo++IxoJp0yAX+PuLw0s6KhUxvw8qzMaBoL3nlX/L9ob2ua78xRCQHzmuidI84LnkFqedDSPJjulRZvl9OQmzPaeNYIk8vA4LKq5kR4q+InciSmHV8bQoJpXPutjU+kgD0+v0d1v6Ti+jdyywhyTQKGO5dqfyaq87AhlTLWR0VN9BM2QtSwfIpGxTNdj/iBtrqsowyxPTFecPmPmmPfLWCOWOkA9r10AeYnQ9Co6nMqxEzhQVQCsIYE9tZCVSsQ/cU47AFU+Gj/Yvcu9RktO47/F0MstIIQOVtkgSTkEso2cwJF3cMAtE3VSDyyGGMNGk/jVjth3ns+2qWFtJixQwYs+JJegKkrqgYkdqmSxnBVOzwnZ5n7AWJnMfyQw1DuSzUw90cbsg/VV6aa/030Lt+ehRTBBb/0Vx2sMFbOcIScMC/Cnk035Rk3n2QBcyWGDt/HtfcZqekoz8tbCBxry260fll2zFv+NrUcQU23oaFh5VQcKKkNZ6A/Hq9gsac3RxjEigE1wztdra+hJI2fzlr2KAQSnljCPQHDGyxoxIcQUdz+nuKG5vrLbLMhRXZ8kGKF0mGlVS+Gq0wxGvab2iCOipE9JY7pJbEI/yXlbIzJE9FD4flFdxH6El5cPgHl0BMMA5bZSO7tClqlWZo1X06S0EBPfY7S06MYhPCdv4OUI/AKKWPMgl8s60sYjSqyEBViGzZse6mH4IOfNgYFoHvyhg3jPOc1BR5DvOdkhVNmr4qF6be3pCColcg9REiCyZNVvL27VH0PZfeemskVjeqW6J62YZOoLGt8oPhKzsQJugCPMWvtvucMfqz6AMH9+EEdocnlS8BL7WGmIY2r5syBJIQoIdQMbGUFojEyHmvz228Tj757iHiBHAOyM+hoSBQuTJjcZvMyoHa7nCkMHzrOuCXMjPvPzQh2BGHoNvzQ9Mz4pYZnv+XMFMynOrbIBUEZR6ndkHN+Nk/QgFYkoLjXIEhqxJG6BjqHs+W5lfh0nyY98TJxTFhDg3p7JG6MNu0As6M5tnxN2s5e9yWayaBZZ1lhSf7vEolWOAP2A4EjS9W6TVzWCOaPBWdWH7ltHUPu1V2EfS0WpiB34v/7G7p4pKxzAleMjREWTx1Cs5CP91/e3sYAYj8cch+PTDOsFoZSBYAjGOQ8/+9rMtuqr1Iu+5vsp7mwcUCTVhgUb1ExibBl+2Pz9Yst/g57ufjwU5HO6aoUlAEkENWnZbYRYrbEo860dxdaWe8PdXXT9QczgNINkon246WHkQVE+m01Q8bL9rEyCzD1QM7bcOUceD30j0LQKsWGvj3kuReK9rrtuli3GA4gRYsmD3pn+s0Ab/CSuiwZbF88GSuMH+j8sxYtgwl0ApgVZvehch3yH7jP/js2+0MogN79uoXpEgVgY0nn8TKlJFlwXBJLv5vlKWasrHww+TIS4gaxLpY1l9YUBj4fVVcVpMWUVMHYYWx+k4NREfk2hYjlM/dUi4VeAloUBwJ86bUE10w9cKAgMS9As378gOm5fhWv4cm2SgoroHd3F60kYTabctPs7K084D8B+AIYZy7QBcOKadHh6CLLPoA3Ma3eY/kv43Xn1rZz5jPviwBx6ILGc17nZIXyBuXSdpwVuS9RoetOBnLbvlCtqwDhsfPQG5vjHNfrN7l53AyorfhxW64iXtNcvIY9zyNZeUBexF22IslTsGli/2Dd3wTzqBiyJ0ctIc/gzz8DaPVLz4wiBVFpI7ySG3XyYBnPSI2KsfMttmXT4MGgfvZYnywWMHsbMz5gWmyQvinZMQmcjiUSu7okGWpFxMFgprZ765dq+5CUxkZ6xDr8sEdZdPDREMIuP3hpiupDxp2ahb1wYGPQ4Exn6Nuk6aySRk7pygAEsv1Nr8vJq6cILfKaaUXDuYOzEKkQPAcCpAIyEo1z3E+sUox0rzRMHk2YvzdGmn+iiYA7qfCybfTr5zVOg7nLU2OX/8wt+5xCmlS8noZr6giHnBG453Ead2Xlv59wYIGQobd19WRIebaohJ+5VMVoBQQriPRUmTxiRAO6RALlvHgSUzRwVJy4G6ENQpkeXRot+FSFyn1fznkLInoTnOm+jMOJV4StCU1sCPSOGrz+YGflEF2rxdROvyw/xmNmu47jeO7E7ocviZAcoK4bulHlyPnzrLpSKRIR6fth7fgRsNZk6J41CIVCEmgviWG/e4nzJpj2KHvMhHhFrKBxQbTgnQ/laVIGG9ja2mhFM6zRBbVJOmbP38l3FssU9x6Tu/jPyRuiS01z7jbl6IU7w19tdoqWui7nJlvOayJsqXEI53kDBe84MceWny7bki/y4XCQB5OUnMLPmZ3vDxZeMv/2u/aoGvh4iY0RqboF/S7ALLs71cO72VI3aiW4g9eKu5rlkgSvyPFbgerqFEzf48RwnBDjWEvuCBa7LUhYsFWbx6ba/xozzCesRc3vUGmg8UkXEGjaUJxCsvFHtjVDWYU3YLFOX9+46ERMe/zlHtnnGDNnsJx8vLDRtK4xfmioIEnc9+eT8jS59g7sawDVJKlmXeX0PKtZ0Q/wcFeS4hOEVU1VKM9kwUOJH7X4ajrPpx8qK6dwGU9RqryY12YRt0inhHqHLyVKPupMJ17vj8HMu4JwrL5AVJNIzgTlKI7eLLKcPxfblfUZjZCqsA0F0QE+zm9qAOPzjOCcNUM5RjoqdBsMCDpJALMc4EoXBPfC9AJamrxcxZQX8smfh388XenLQbS8ZDutZlNdSHPk8WhD1STjNsn1PnlGgn8ZXldp8H/BsZkHiRTnKfFmdOvMk0pDx0kmjjd6UmXb9kmsaOQWJA5LT+jSbnSPEJu4jCzbs6XYo2oWzu8zKeGQNM1La+XK1V+2gn+j8TOvHBtamyyRlQ9DHL2xgnoLOXInuJMVyb/X48F/TpJvOb42VyfgMn8DLMpsloYmY203Qs80wErz1jcpZqRJPqvplcQrWx27EeciC4eYABJmZ9CR0K7a7DEE6jYIQpnPul+I79nDGF7LjrH6M7Fl3IXcuC+EHq383T9uJUGeG0233CNSGQhZmZZ8AYfMDTpSeV0mEM5I7OVdIm0mdQJPb7DZwrJSauktkb2SES4t6dpQL26auJv0aJrOV17yunNe+1fNJ3CjamMzaD1E/xuS0JlnSiwV1RJsbZOEkQ6TAdKxADzs9osPbS0AlqVKmgNQ6J3EO88pH5B43lrdPnxMrEwsnXUc/QPOX7kz0PoPiA25lkhoulpIeU7lF1RlrGjnf8Iai+dOjTbnNJlV8OBzlEKwyZHBkDfzqNg2xHRrfi65fPHmD+9j1Ye6ayJX3QA38PPH5aLHvg7hdII6lY0HlrxHVkonEQvi6Et7sO7WOpljkz8yiS37Jq12vQXjcfD5b7g+D1iWPstke5Jq1mDbGV9LJUkuWKNu2l8pWcKolAvYWxAhc6mKkaf76tqyYIlPHxXzQoKMPjT9luKC9tuJAP6oXjyAaUYdoNcmccfzpIY74yIfb8Ok7Cf7BQy06spOprLxODy05nn+bJN0CHKxX/qfePP5vsF4pLuhWp6LjSUjg8yvKsukTnCViYeqsTuQVK7vCXqLrdLKJeW1zHHcKVvBnBBaVKh7LFNwSrYupDvXZhmNp+HwXJ1idjK+NUdUZAUsnG5GE9WcnM4IStgCU84Uw1+9/D8pee+ZQx8NI6WsQ0RpYV2jEr2dWZbe6ja67IaPbcdCH1DFmbJZpXrgRGUdXcYvMpMQCNR45WM8l9VDgkN90LR82T95JXy4U2MuY9V4EEme1GjraRV28DkXLuXVMOvWWdBdqfcfsynbFOzCxDtJIZn4uLUh5jamw7t/VGPsHCiCjOTQs42kWTfK0g9bVwp7Jw1Ep6dP4xJ5uVomMzl8ZseR8QtAKCt+80whCXK89c99tq6qBVkuu7h5fcowodX7ECQz6/5WyqXgeSrljxzN5YIWYkmZqmZUtJc/izSaJ/hivbfXO6ov+ALVWrluboXLwciCqh9w3BEVZI32n3/OMM0IPwAq7i6q/VJNzai+UoKmLmmXAi107JpZt6sdR1knG5fO7Oc7Qg99a+PEcD5uZeeKSAH7KmoENlo1+KjgGm/fpnyAeJxAID9Gnj3XJKqD1qIilbcqBk6EL4bvfHsPUGUqzFISNNI3OOENgnJjlOleA6m42r5vswgRgsb1hNLj0R6Lj0pPCClrXBSvaB8wlAZSbshwUcRmnDvTxHWDRyWLxS7BwWiEyYH2doLCqVwyYv0/JK1fg4HuGdPYY4Fe9iTfJwdo6m6YVUdD5TBrSqgdDR0ON+K8HoU8JRD9ScX6ziT1J7Gs0e0eQY+VdWYHj14fnHv/aHElD1T4chHlzodBxMJCs++Ven2J6lMWP9UIZL+LMF11X/Uknmhi4C4+Kh6U7wrIacPJ69Ym6nzGYnDqXLtfJqxyO+4fWauHoiNlCD/oOgTEE5DWju9mnihyA5IvedotOk/q0UKbtEaHLQ/CF5RlOruSt/XpXU9nyXVDVBIKN++bF9PBL2g5kj5cdV4H9MhZ3EyCWR+4YFBohQ9IgwZ9woE80dKGhsGIwWaT3V/S6pmZqp5LhGaY0p769tTHMv6unoCEKLwnQwmKT8Js/Ucp1cpsnMua3nPqnYAhcILSNGX2c6rk45O3w1zx9HDr/e33fr8I1czvAMyR4PPVrMbm/eF0Ani7J05mYQajBF1urgsGmCPZaM7NErTH5qk/qJzmo9+IfcJ9dimA12wUjNC02fxaQjqyBZGNknBppzj8Zm4xcntZLGylNqAohT8TEE3f3n5Kc66/DsU6sJaRVmQ2YwUmPz8oPiRFq1eEM8PmqV/bicQgTnDjUvB8zEt648wTp7UlWR8F48GFuJliVBy0nKMBZpwWs5NPhCqOsEYCj3RjOKlMxWaqZ5mM9bS62Eo3smRjXECZRQBGnXzUyG+cSG+ITl62XvxYxmE7xVBQarytK0MuDmWisXhfY2mZ4wb54+78Jkja3t7VQydXF+vZ2yYKwicLYPj/+8+qaMHllAZfjihriyWQKjAzEUkxVEnCr4+MBO0zzlLBezWCYJrBN08o61CYQf6Ft30d4h6GUa88Jd5BzuDCMcke3WSDUh44iVjpWPkkpZcM7LuCthat7gdNnn5NZwArueH2BQWT8Ls8lggw5fp0fDsJjtSqGs6SEevrrpX5MzOJ/bpgAuCAAykcAS+B2YjEwKfrx3ZOWXI5eO25Albi+fdY4z35mp3rYfY9lwpu9Vu5glxcUkj4sZAy7LgF7T8BwFpf3CiFqG2qcy+pTB5tIBo0kxHfIHpuB0WctaGE3rwREQwN5tXoW0+1UpKcO+h3M5YsKCfAobF0PqzymCo2CLaa7hXywNrLpun/+8mnvutXscFlik7zjPJI/Dxfpm2dDvk2bLGru0fVTL2pLcFDmqSZPrLSk317eSYwhyAs+Y1JqESfFfaMTjaaHUP9QUSXworsOLzqh9sbRwKDbcWF1X7iDXmYIMcIN0+z4vxGHe2i4a7PxF3rO8t4D1TmVwIrQ2kJT2Q2sNMd9vd9g/nulAN2Wc0WaJ7CtBAu5HZ+S5+AdE+Jt0UiykRVrHVYJvogb6PsKqx6m3LNOuOQk2YNB467wWA201JcxS3IBmFAhW4CJaeGjKdcSWkZLss5dVwhYsQIGYMQ255kkDXuIIzYzna9NLEaNJ1+zm49HZ+1RdYDxf4ZAidUj5IQKC3Xwtkc8TygIBZOiyr6MYby4FK9tc5RCtmjtVJUgaB9sH0Qs2Iv+we1lTsKBH+qkixcOz6fyQ1R00Ajvixwj1wVBFVRp+8DP/9H9O52icFKcP+kkHdtRgN07F166L3zsT13gm5AqpXz0xl+qN5B8fASrD8QEnOt8Y3kTw4oNfeIYTwDvo54EPw4STCBHKjPcBpV8giGL7OgwEs3RP7EI4fdgFcZe+nDbjuP5UUGx3F4sLxXKxVEgjxaz4ejmg8qT28f3WoGUReSwhUbIFNSyy6uEZ5rmiGwo2tG44SM0FtT59oUt6OfdK+vHm/5UBeeQmqu6XBozNLJ4xWIW7DuzdIEpUkTmHD3+rrGlkt6CarDN/+yW1Dr3UJT2n2RIdXGyyrHmlg9w7MSNCS2gznakmXcweMdkFMcFzl/gCLApuwz0fSc9OglxMZS2xG+v90+BWUZ6FBFul218wH1jlsqH7P+zH8DxMbuPCIbHqeTvPQ/+/cSzpS2MKgLTVoTt9KhcqwaFlj7hSnLaDmvRUaf9VcCahPMjDmiJjTCDRH/sO/gRS+qcQPVUfM+Lroz/x45vtUrFn39CRj47rC14c+uf0y72OqbvLzzjVPh1vb77jj0P8zzvmAbZ1CsiPTqX56BuvGae2btnu4PWsTDJla13kw+1xYuJqUp5mBOZ14royq2CTQ4xeKaCmE8MVpWifY43wmNHT6VfIwkmY5FBOly9PPFLmz4FDUP6Yc1wN1ifaL9o0MR/KQC+K8mmdgTvbnPY+RyHnRk35/xgGo9HyVV982NdoCOFlt/dRShdeHgMm9q94Usm4EB9t7u1txtr5nQ04mHCyLDoZ1r/sw5ZqweMb0gx1CArg0Ov3A2IhDNx+NO/fDt6PmJIkym/XlxuKJ6JhGP+0gd92DX27A9NNTirWYvVvptdhHykGjL3FPMb1388hXPV+Uu2GCyEn1ftRWlzHObuf81phHWWa2n3gUY+oLgqHyxNPQCafapp1rLn4fVK8EKPMUwjjH4c3oQAPs/rW4LCgWWqagVDcpNf5o+yXIrmUy39/xDeZrtnZjzaK7edy02LY+E8CmFSZlN6OLsPToIl6eD0Vr5T2YB1OjGnRIT4YGAS1FW6sFQbYY1UwwMpqP3PDekuAkEzVqQCPad8NhaxEuFjydQg/TmuE1Br/OvoIcZduoZhZB3L4x1Q5w/GPlnF8/zb2yyLsZkFVu8XPxYhrG/cPDiDXtrXwiibFS4Nd+9kjgMZZP+wnOyGTs/50Luvqf6P+2SLErFMPSmNvDHIohJyAjVDy1afmPk/KGItXZFlsfat1F/m93zBDm2RLuLFOU0sHzyspW/DFz11YcSVKFnl673iYj5b9169v0ilw5rIt4ny4WCn+WiQguoGtURbSc/wgTmG4a0p69X+Ol/N56yzooYmBTRnhGuuXVBs5j1rD3DUP82NRaviOStZ3nRvXVB367nzT/Vnt84tSbRqb5jaq1ZM6NLLou1i0lTAvbTtbyju/7b4I/2z2NGYuIweMqD61D1+PMLh6SLbpgrQHBpVaZMFc3+o890irM9ueKsb3mJc2XUZ9o0u1GnGWWIjCHf7eZolnRrbPmrKkaVNzVb6vuqLNmV/xFH0F8xAC+rEjlWks6ZBtpG+Fzx/sVvx5u/UIixYsRpyX/AK/EBBEmYi1poOOmfY8uYMkCq8BdsRfrasNdMpbDaNhsZH0HS8FEDwG8IopKh7itk+z3c0qqm2TqfhSVD/hS3ROSNZaIcQijDr+P57elhIUk3FDpXkISxrE6nCisMtSYm4i5TSodhNxtXHK9ZxqGyqL0DaTSUn3eWO1Y38KAhp3hM7NYKAadmbe1SD7qKSlGilTJDygXOCyX7nHchg304dnP1mH4nLiK56yXNwxM/I2K4ZeevdRjmFuETpf3/7PsAjHP1nuHtYtMFYXIAms1InKtaHw69jLcoibymfBz5Eq7xNUalc9urmv+ARiwy4kt6a7AYdHo8FYVwh70+AwuvyjpBmpb04PVEN3aQ9ZZ8KHtojcSZAe2OXQtixTk6ZHfuXUjtmFSJxGd68CqG703D3r9fPzYxUCxjU8SRNXf0joBKPgtz3E80d3ezkEyLUUryItISVyz5w2OmsLr96kiFvQlJhjxDJg2CA2Ih+beLTKIsNoBeREGBcIX7L3g8Ol8jjVa4OeyDy2SsWb8glbDxpAYnUoKlCkEfdvoBmhARAjrEMBD4qvUgRbMfCV42vws7dloHj0ETADOSedSrqpk+Eg4nFM8WbAUZajcrDwThXpBSejwMb35YpFmfmyCVXQrVimdJ6l5H+fDo+Ds0MKodF8QoEpGRQqwxNzRISoTJtvN3aPfo5aioAfGPrc6/iAlAzLnCGYSUSJNYVBquFnfKHOdqNB1tc01GwvJ9UwgTbUidauHVNAVjh7bt2F5KSKiNGoY5g7P4n8CEaB0k9hKpAiKuJIhrJ3EtHlz1mnn3zfxknSSwzxvuhO/0wvU+K1XnaZLJ7iuyW+nHXGKLscCiDc0B+n6patvciKS4MEG9IGB8MTtmleZMIklvET8bwdGLLKYs++n8LVpi69bBMv/l0g/HH/kjh4ffkUx1EAbCj/yFUqDA48Y4dthTr7wMZnWze3qvxjOk2bRq4xI/o6mWERKxmNtQxOOOmJh68bj1AnXPt98bsghznbtVhV3B9O2bqddZx1C3vITyfbW3GeK4yZPBCm/aYhtJ78qk94mnA6fMSUr20/x/n3FQL4EIRFGOx79VAyOa5Zhbd4FdVwEE79lM7Tb6mLFHM4mB7XD0bJR+RYvXA2WugDqy/J5a4VamMZd3HulUvKfW5siyCeVZs+rV6WqRxDhU8JVQcdz1QQ/5RzED9WlCgc7zp9jpwWV/LLVvlrMiC/U+IKKud/Sg4UQZhbyeNjNXW8yeFj6a6jYLCcmqXuYAiinCsIPYNoohh4EqI6hRBMsQ4Ps7iyYjNIXN+NZS1gvXnIysJMqyuGcR1CWy++YeqsibVS5TjGvXW0tna3VFrEcvqK8h1/iLBklwekxoUDho3nsfui7Ou7g00Rbu59gJIHkRc2OC21VcYo/qsXfYXgzuO6RVXaT4gOww3QDTXcsY5yrmPPiNah1gO5k/bIvSkn5pNOTgriISvmfjlq/3mDryqF+lQwyrgxGyKC8xWrH7O/4u0Q26bE5V6/iHl0XraPz8B8slcJrBuCPqSOYnijDYbhp7GWzL2xvdwxWSWYvNBNvRkPJUx7motYCPngpPIvULWCUEwQNpnlpbw0vBuxj8twyy2KdNKbS2+N0/Ae+8NY8rkct8mN4y/rCafSH35OltIZVzqTId0Wn5rK3J15Tot0rE0nepy70ZS4u3vETRzHu+ug2v4/lCLqAteRi0OasRLjSE4CV7TzcY9QLALAb25wWmsbH4GhO0poPxLteO5tC3iqt0w2a9zM6nOTvpswygZoS8+e3JNELjH5EB77yz18I1OyZLXVw2xC5lMTi0asva8tyzs75TXg7+8fKNJuh1WgBgQq1AOCYq3fkw0Db25gTIaysFcdCMgbSWzz3llID73edHc7lxiJ5UKYGoXBF0JP8ihNL0kCZ5kFOdL9rNro+0zO8cXPdlAhJSx14++tcgeISidpbNcmj5MMw8Z9bprZHcwesCNlfLZnIjBkmW40yzSOAGbh5YA71fjw3iqWLCublg0EcjbByUmLbjvxTQZmgYqIMpBhdu9NeNo/KvLGleIQTEz8+dAz/261YaPdy0f+OBjjGPtkAO+E+EZdsUTHj0VWolSeKoNtwY5zbCC50CzvanXd7crDmtta3exWbrW8ffVhVMlybAzDLtg08P3JdjfToS7w9JSdtzi+C89XDT+et4IxmnSL4ppaVzALdfRRXHLafuBGCJObB+wbNB2DTXyj/RJsYhdqVJtt0KHETkESdLMlI9OjV5/a+tySOw47rzpAKPNmizrjghYVdgOKoJ292ALXHGTHHvsRhbh9fKysTzG9aznVzaewsLfaFzKMK8xYXMqu4XByfa5YuhmYF/IPTywmt30IkKoYLPvYEANh1/Ewb4iNlLEUn/oRf8Z3KruEVs1HS7k1mjKrAotkYKdCNDtxbNnE+4zQn/F581DjSLss3qsSdiDZ9KgSVYtxx2kJgo8Z+C/nY5ll/NQFVnlmKEe08MVBfBqD5KfFbFv7xdEfEziSh7VjFeQ3QVWJ00OrPLpLf2kPOh17d2qNP4aSV4fAkfKfOPY4RD84sgjcpZFDNKx4WWq/wmfqvzDOGDIg3SUWfuaBYxg5OanXl4/gvp8OWgYZ1UbviETUSoUd/hRo3v3rMV6gW7JRkeYiG/yPMztbnpgQJazgeQ65E9g5O5w5GkEVVU5To2sK/6iMkX5T2gtPymIStctCjsVdU/lJMtXu9utPt2MtvzUa+1FxPs/Dhvo1wk9J5A9Or/fREdUfqcQgHNuth2F8oeCsPEDw1/sazy8VGXGLz876ekievfbTrpQxfU62R35Bvp9D4JtoQh+gB30XYYPpYw6vAEmoOrFTB5Jk/9b58H5rQNT+j69RNnoY6ulXkY0uY+NrcO8PmtdFZiu4L+eLMjEB4vslWeAd0WVm+bXmhqAdiIPDgFgMmSL19Ro6/gI7MXMfhlNiUfjVL8v6gKxZs2HRo6g3cYm12/Qecc/jjnu0jjnhJjMuYxpzJyZfl8kVc8VtsP1o0TJTB+Hq7ElYfKQ/d0UOOslDDXq5jfiFO7V6adx/H35epj25UZgA756q0PjK1LncvHoAOiMGvUM05KgQhqe5XYPRQ+4ywwdRj3nt3+xnhnfjDDSuxOOLn61I6laGqA0cazlwREAj8/m4pEYnOrP1fACi9H3zjIzeAYfm5UyomBL4M8udNbMxeKX+WypJgAKg3MCs2WLJ+8zVT0V9xf/MP+3qwXaBy9h4r11m3VrPKioDAV7/cqpNemz9zShppADXGknGhga1ayWZQV8tPrzeXsXeqkeHuM57HkJhK5Ld6VHm3GZzgcm3yWSA9Rv0Z4b0yC2kcn3OvaG/u7s3ydPjpKd8PIZ5Tbj8jz0UM3k2hI46NKj5vMsZOAStUpptqaXHmsfyc9UjPS7xUXFxcuPIImZIlgkYlad8x5K4IlsIO3Kh+z0o06/zs0X2B+TxhdVHXenZDvxs0W/FLsxjaUlHNWV5W1XS0T6UEUgRCT6krsb252YnLCVauNtHpcsJy8eONqrmSE3LAOwzDUMlJyFOvZkcMd0wOUQVvoi5Oq861lC+ToagbALanJroaGo3fytKpwOV2knWpleDf/7rN8OhiYfDC5Nwk/TTPHs9FWg+V/HARyFtl/W7/ZZmt+KoA330BTOD9yJF6Kqs52wM+SOoUBEltdRpFEyXLYLsty0SsfHxRfhwm4H0P0En9Bjr4Bm/7NW7flh31jqL78mwj+UllnTwqjuNn19woG/Tt5n6R5So/fT/10h07EzyoRzwSxJrsvaRERVlbUBHVgrc88o+iqsh30WmSmvQce9nGOGRRENdixDyinn5mt/fRecjpdcGeYaWGYyA/bcPRFmzS6yN02VEHB7DsuJQ3k66iRQAno2MSA3Y20px4DT5/RRUb7DDmbAaFXpOmm3VcNUxzGvLAyY9KBwCh2X6y1pQ8bmFSuE7aa1Y3k09+Gy8JtgfpnV6yE+lqkObPmiGLzVUF09aCSbehXaOkwGV6FB+hT3jAwzfSAE6jNbh5c2LWOk33ue/0Gd/jslApYi8VNvOxTDYn85mH5yNYek/bTw/rh8uJRPaBbGbXCQHawajdhpJOyMtV108EkFqxA1HCSeZ4cZA01jxXuJapqk1PncGghYMd5gxXFuMZUOmqDhGkCrEilSstvKZ6uyxjb99r0Qfls+hg5VYsWtHOqWgHVrrKa568PloG3gv+lb+RXlzvEkEjDlteFkE41vNfEG/bDhLCx1hhktHmdTDNxaXH4WOZ+sk2bqn0H3gPZDjAZGPqZ6fn+HmQhxNU1G8PmuIUjC0FI6W7RDCp6n+ix4DEEIVnjyzh2QRcUBM0FcabxlkEuFOnRrNkiac+2xC1eoX8jkD/DefbbXD9xEJSuwi7Hj283TF1sNpkNftxsuXm7k/OmZs8HDzvwuP+OAwXyTZlqcZ5WtU2pcV25uetvEKN53BLetXHldSDQyn+0JmL0j/Xr8ivZFUL2tYVV6kbniciFaAQekJdfBb4TGLeDt3JXyR0CDXQJbgyPBmOC2EM2tpiAYiDBLd8Uq3kf2K2hg97jDuZR+Njtwu8oKLh4CHWFnwkgTR8wYUsqIOL7iLGVixj90xotG0NaA8uvjjiIEqBloHokvJ+qP/u7ztyKv7FYEf8Y2j0VH0xn0vnhgPXfbu2A7eS7gQoivnQ1pbcPQJDCH6HcrUJBtjYkNwRe4kVxF6x+/fGu0Jif24Xv5+kDR+CPTg06vMd906XMqeZicoOnXS0kVeKzt6j20r+ZC0Cx8SKWlFekR3KLaMmoa0Q6ju9abMiWBbN0zQMN9N7Z0p7wZ6ksFY3n1XxbKSDdSKyTCM/5l7I9h1bLCoAlgR2SaWvWPE8RKMFqMDIcb8aDAKpK+yOSxud0EiubXZ53Qx3SY2pa5g9d1DM7BcxM/KjNWZxPUMf2p0I3Im2zJkrwE3LIoOXM5qsu3yTgKmvTA+ideaQEpGqxfqMeSZ18/pn6wbQtqw8Xe3mPQD/pWjl/Vq+vaO1uawjFCQ7HP103hsPw6baz+dGxbPM35W/VaO9mdXWNxDfF5sL2HJGhBLxnDOfPcoHv3hjF0Wwrsf8DX7B7Te/wKhImDrZvPxnjHZbgAeUYPqYzuw9eh1sibyLuZaQk1R/t5P1QrOUuPyu41g6Tfyt7biNk+ieWqP74usOA0i/HPRAx+Lct7uH7QY0PD9UBoVCMXYQoW3Djn1ZNFwNTK7Y8OnnJDVT/Rhmxc2MQbRIiU3lXZ8SqaT5JzNjvdFwAvbBlEOD/bEjfenvIF6+cq9+DKqk4H86ncaTIQsbdZBRKyeHHX15IrDVjZI+h5DY85DcbyzPBEmlMCAc7osl4ObFMfAOdDOJF38045cy5EJNtxx9/tivMaWJMwxmu8i8IYP/6imShu3PLPeOuk0dNjlH/vq21lX4bv9Izp0nHA8Z/7KAnrxP+zHZBztK9lqmXnDvU+dtoSNkr1U9bDDoQcFtZ5/70jJxVpk1EEk2xIZxYSXrB9Uv10ItvdrKFObPW/3ZYV0j3ns5m7D0cL2znT6+TX6hONTAW+tZa0fuOBAmX8zEutvRyuf+w+u3/03E8/g4Z/1jwX34ZabvKrdbL9bAvEOhhi6ffqFgSzdB8H0HW1r16M3P9+SGVkW9Soym9qd/J411BxxEzlYg7TtfoKV9ZOhWHICfmCaZ+tJE3myObakApgrNGCRVBgwBODTmgIVX9KZ47upfIBwKR6vLpZsMUPHW9qL+1xjqa/MFQxayh/GEedl3VaN0MSo0foaKA81Al8/m5EaE6k7YNWTSPj/sHMK+2qcWQ7PmKSD8OcxLQPM0wrGv12oUWJosEPf7RP4d7D7z4MJwHdgv1YbeOxdvUZHa179nO/CZwMWc5U4Q5L/sS65FcPxq512YVEwk2ebIval4GvpotB9K+Rc2qqydHuhFuReg2DkoNdmdcJ5XHkssnhz2hmYq+zTwIu1knyHYXSQDLbFQAIMqpqvcErkFlz8dsnlWfzwalIdaQhJmoW9kskqn140PCmFISqb+vJ8fHeE6xvyNNrnuTv8laRnsjiPWGwe2BMbLNYNAdYH3k6eGq1kjBWQ85bNB6V/ODrkxobCd6itmf1Z7G9bsao63x9E8+RGAhg55DNCzyCQFu65nNLkHtE2Ud0HTx27pIenYrQgNk6b+/vOyvOKeMhTMq5m7nNWvOyWAhjp0PydkHnJk3txAM+I0j4LXQAH8QtxP3AHlQ3MEir8/xnOltFtWEmfb9CkMn3akssVi1CmK55WB/8dphaZouGJyaeRCREu/MJlnhxYpPNZq+Rg+NoHQVOBRBH050oy5X5l4jbzTMyqqcnmeMUzJ6GkjXj54COFclwDzC3Hw7qfJRux+lRxz0Ojb+3GptU9eBiNcmbruPErtuHmoSDLIQ2bb2qWiZJYo7tfydfwI48RtNFRJJ8wUJBtaNlObseQuzlzwgvSgSikAaMkiC9lD7OcptoiUcw2rI/hRVJINaFIr3giGjcseg8cEis3wyRzAQhf50FywYlOMJwRqj2W0D5SaCaFic+QN3Z2MI2Il4qWb3s2ThBmlnzGZRkSFc63cZg58OmaqKBSOC2ls9wY0y2aHDnOQCWHJy0Rh446qNI2FFjv6oIs2Q5MsXmOzVpceY5sIYW2CjnJuYpwczlcUQCrypycz0rx5228tIYZQBpNzzxnegDQzjDWg6ehkjEcHDxo+5HYafLx0nhjrVnsCkh3H7KIqV/zs/xadUv9Pf0kLM8rSa9h5SVG5TuSf32nZeala2p6gdFsN/+PzN8j+1yGOOLhD/kddaE3rlVlz+DoYaUuSAuynr24Og+n5PcqUUE4JFMKZB2mXxrR1VZ/mp9elruLs7FaJT+PJsgO512C9ZY7Whv3odbJRgw9b6foM/dmNwhS2AFYSEOYoh2nzmlYwAJQA0kz1XeESSdHaEMFF+rkeIZ44WuZRcpt6YyfXrDtpvr8LjHx1n+xatau/RmYnGVRp2N7NGZpYhyUiBJ9kl2fdml5KavRjxoa7yCRBucCKqY26lvn3eNiULUPmiohmeCLb6y32gcRh3GrnqF4LwjeFxmhtsxJP5NIEcNZUxBOPlIC6ThoC2NpTXe1cEAIq9pKKBT6G09ANzXfSmndxE8qzvQakkSUYbSiEw8FQ3ZWhp5LcXAYxqotsgqpIUY22zfgsdhcJn5bJRNfNUA3UEwu/I5diIWRhqx7egK8tKjvGiaXOWLm2nJMNF6NT3JI9/ktVidmv3I3KHGupMSmLr1yR5ZbzUDVeSQJmDHmkwiTjaKO6Mhy6CBSdLLapmfNjyFMxxBeuOAnONOO2ajn3qZ1x+WBej26syeziSu6afBV6YJW2fEiM379wYqlipGbL33XqX5sX5TdqX180CvVJBwJUcx7FlUhRqak/nW3oH9cEzo0+ubEGX5pIn3n/eg22yT1MgvQqMwWFcrhe32y54ZZ00u4a+L0r2wWpfnW2tSltcNaziTdVxOOxYFdAvSN4uHN0hMwzIohrFIEt5NqpKDkkPlfCDVI78V0HejC4PsUpGWNL07EEOsX5J5e2gl88BMZDxSESmbJpFA1Wbzs4MCuP4oHYiE0lxcXTE5vUml7pLmmasnYZHESNz1NbIQC+lDQNenoUUxUUXrO8LowbMV7N7j5JVsVXTCaMa2F40g1xi5LMCOrKw9urHtfIhZbVHLmE+I2uWi7w1lviWFPlPnWfClX+siXmIOjBaCw2J8NckDn+UIu03Ihl7Dwgt8cS/ylpX68xA4I9A4+fbUjl2iWM6yVrTQCtwXrmQmRPBlcIkaVKXGPI2GqjR04qK50w6Vc/FsuUdOc7y1820msWUfnwbrwtXIRJWNzlcjNSEq1kAX58xyYwAuVlxy0dSd1bXtGO3zwia4yA2rCyQPnx+sj98D8sojTfTk6biadYJTCsMJ1WvZ8E034dWHjeelepAdbCcTyMPvX6DxZ+7mtg1mKaWGxqUiUaEi4T2eJ2mTYlI5nNEGm2R+W4JZweD+yAxXUaubUccZvenvWUD6UCDNXSS1EwGJNx7d5q7iUMnYumj2uQS6UFdTmZvgiDMsknXmgWRNPxEW1kEZQZRg/u55rayo+DZjl67kHVUR6Rfgue725LolU5qX/B6+W0r49Pp+b9BfgLZ1Os5Kc+l7EExKW32e2x/35+UwHGz7ZaQ+LdSQJYMpLdr3Fn0Cy5BS2p92r40MTXDiJ1sboA3hM7Eh3apuDbvruOqOFV4rC9F/2kc1juSLK5b0OPYkbhM8wVt0Hv+OSi9iawkt0er7CiUL6Kpa8tib9owMVpCzblGrIeUpgwE8RK2Kq1YuC3RsnCT72mHlGARkJuG4Zv+VsWZ572XgyT/L6iz0/CeDnkgxtjLN8NJt0Ht9wVD3+EwqwLpVWFutliSk5zR198ZX+cjbdhQCmxGmQJJs2LAKgWD7DdkFU64cWgVwPzrgIlG8m0H+0HGOtJUP6qQ4GsOEeGm/omleYGnNZvg15K5f5ZfCSx7tWJtevbOpUkYVEOJgJZLbBsI3jLL5IOTlAFFwgWFFn40Twg/0O7T26M/mF/HL+FEyuJuGXQtl03zCL4tCO3cgEBCIHYxpiHzxHgORz4uvN5tEHp4l0Q4KLNpPcPwMESuXmu5dufnany022yWjgC1SVoZo6kbSq4bxql1VvnhYpdAUCAV0wjns6YMebLmwDaYOty6MxdU+9V+DdbPyWIZ6P5zD9/1l9TlUML8ONu3Am4zBYPUE33iGQryzh+MronDtTM6aSdzbdIrw7IDJSZyDwIoPFLFxoSAyJWkAP/Y0HGKaRlDeDp2HJMKzPs2Ok1lIo5b9PheJR/9sLcVLkuuy033fS+1LuxHe10OdvLkpbD+8PTNj8mRTkNYI+CDSoiQWJgktHsPaWvkgHK20ZDIcyrZdnpbHT8RyR8Vnmf85ksHfMRnbVCG/JgfVzEL22eebbOjVStN4XUJ1vIX7OXn87Imcvei3KBl8m/IxCmtaIYWC5QwFyLbBTxyJPAgIPlmuZDaR9ylgsWqiqrot9CQmH36UzuF67AgCrgilrfttDS1Q9qLHLh3mxj8K7wyM0zB1Gsje/xVfoJhBRCT7lszH6bYxU5FaX13HyEHEF09qBb4ZjDi6Sn8S6Hxtq77fUqHLpBo3PfXk+C6S2BwkKuLE54fxTjLvD0DOhV2CoLHeTWh6iqvtIoGEmMHl+JgBuk2JjTbQyD8EBra0D6+BArieM2zprOPE0EAoCKBh2misXCh1uPdP98m6gOZZzTxUNJabhlL7aZNhkhK36DAeMzUwQSQx1xyJCtx0e17YldEkgZ90wpOrHifYLDCTAwyl+b5ALp7L981etU1hSvYkJJtBahDD8rS/gIWeJzrta7mAmF1tML9wKY1qgDSTh+V7JNG4NQfxFMEucjR7P0hOD2aBxiP86wPMuHDOTm4c9ROgwEtHXC5iIyQYB+OvxcZs0GMZl48akahVlQTgtrg3Nzcnxp4ND3wm0m5fpLJP9njsDbZHrQ/WhhbZN5Zi8KUz0lzvYOH4BrTH/8Fc76kWgDNNPF9iVYZvDIBPowQBJNk8eG/tTJqbyooythUhJByjNgOrwFPCJLoJMEeQyhb7ZofP0FVZgmhIXyNklXoSUB6oHL6u56L0yUgxvl5Xm7A3JKVfBZ1AIOZ04wp1nOrJwkYrJGiigYd2ncDVTCgfdTBLFI49yJTAjMrRdQtoH5GRwFOwTul+BcaAIFTokHWSnHd4/AOHAmnyK6ZYnTo5XSbfYsik2phpdudo5oaOHHyZYlW+T4Zk86cl/iyLgd+xDGiNfAUv0Q5cv7i0bEoZuXtz8dvhiXZUrGiO42cSb29HfJyjX73NTN2eS3qZffPwW9U9F04J2TXNSu0Ava4co62Lvxvt1IYLuKXaji/UHNXTSioFD9AqvTZrdbklgPFnXDJSk+r2i+KO47t7qCDiG/NWfKNPRng/+YrD4DWl8Ruarvud81VNBw8ffgLFz1t1nIb5RFqRqhX1qO2f+QybN2cJ6JNVfBUwezXfr+T0m4t2yTbA6iEP/Td6kR5q46/l9FP2HyFnhsZW++mKEa3F1jmoPabjn+YcKtUjuzsc+ep4QPpJ+A2Pv/6qORAlbFfznD/aspFeWShiJstZd8rRlBbmkyr+BXnhxY8ab0lCf0r87pq4CJVLkge0PkuzFFEepKzsRf/WX1qAtXCtXw2bXYKxoH5/4pqtuFmW2bMT4qTYOzrtQ1sXMYbVgSHrVn3Wwmr6UmdKt2KLmB8sDUKvOldoIFsjZnILmUXph1hq4iqYqOA+jP/swfnv5/JZqCOP1YfX6OetNzBqJ74Q+tVRJpoDpiLJAAQfE2r34LfLtw+5V9pzJjwkvIhjzlK/NbEkT4GLkodxCZF5puRvrzvGQYe5lwAEGHJhVpHpBDQ6ODMNhd2/Zx89tcMDLKJ9s8siA1sqSE6PVPIFbgKci4F5LgnyezSMIiDkX/xcJL8LCbWz7kQXARNsG4QZ9Lw6WgKAu0hfFx91aNkkwJ0SSRpwEs8qWOxSIQMcMCNMrgbEugVrXavuTzQ21sGlyYezk+EqE3E9Enzsb5JLTszxZIfh+MmAcWlcFAmyWZU0tZmoJ0xclWm4X4BiXG6SaNgFMTbsLtdippxU8Kxelk4w6Mew0KAlVv/+syvtMVwWoy4k30+W8FCu6Oi2vzQtj2inyXIrlAsmiFo8FSgxQ0uZ+UiXai0DN6D/x2TAYB78f3voAEmomFlQNi7KpbLXNVHfxrfrgLToc0PXx2k/uY/Vo3dKfTFKevfxciUGwuGVh5LYeJZOe4VnFldCtyziaRtWlnURWKznE/cReg179kQiBMtTILZuOa1XFOr7bpC1gfLY6YQpONPbeDmlAH3fznYG7jwCPNjYUiZsFbThBechYOA9koTNVSlhC00HPvLP+KQFQsTc6YQzgeTZWaNa+c34FX0QUTrikLJOnm+CQJgLILMr11dodFR5pd/xgZ1uO+rYY9upwTnxagnla+cCS1YG92Xj4FrvvvDCH4V0Pwwr0G1o1pvJZdwcCX3aqI+m605qobifcK5jYG0n9pLmeCCcvy9N5UscLql+a0TjSfYfneNLFtop8+PMCuYuMcC80bfsrBtNg/yMBReu66ggXXzNwkCkNLuqO0OMCCh4KCbw+fHJCNp6HP1rOilfeJgffwqr7hVoAz9mjyZeipjQqJUcTtzKJZ9firh8HlDDiQoJIRMG6S5GzgdBurVUuhkfb2MHApYMsG+zefWoA5xQhhRJu420PiscE7jl9tq8DpE8WWg+R5v9Ut+tPQ//w3n9w7z/t7c9pkE4SGt3NV7qfTpdruE6uEbCaAXQCfUhhj8MeLBmhHv4aIkigRp9w52P5Xo8Zak7YDyeIattfkzlqcMx3kfvt1tBZYsYPKLBHvwRQeu0YmhlzpAc4arqlP2RwW0dWuHxtQNMJsN4AgJuPwRlgWDCSrp+KCirExiekByUfCTW6WvfMu62VZ/bBr2v0R9GVIuwsVm6WG97WUcN5AjX8Rm/8A/pxFca5rDMhqYM6D0wytYAOFWwvktYIqvl7bfaJaKKjwb/f73glqSACh/ItG3YHbK9S4imMckZI4vPUn1Y503MCnuLlvLpGkTMwpTVzKuDWvJvbXU4zTqBsT+IynEwnlrV3v1UWTCK+wthcpEU6iu18NKz8MEHlZo5iN7vGuuD7Oco8qZXZRejilbVm4/KNQ1W2+bhmTGarfwiSG4fsvXJ6hv24uXbIBFclPxdoSy2XVhTCT8t+yxuL+3BtpS9iF3G+SHhFA0VW6eoHehLaFHWn0WyGweyO10qS9xZWBbePPv2y4TgGNmDBDfnDh1IXmg2DifTg1WOumzz+XnCkZG+O0ICNipOUtFG53gfmO9b8dtDWxG/1UFY1QHQRz96PUTsER6qWY3H7GVJGTfQb9+TEQcbRZR8Hv2sfUr62jV14pwSwjKon6BNyeRi8tJ9cimUbUvjt2Cg7NW5tGX5O1xBXCPj2n25I8OP++TMsg8OvwiKI3mkvpMuHUHVaV6wa4lVlKRwXqhUvVlb7fh2jOyn0N6/XvAaxVbbLIURCwyv7zGOHJ3yqdDyLnYltnaSblKi7EwjLKY6SPxuPjnbIsH2VmN5uRdpa0d8VUiIxWJve9zb0sdIJUIkk1uuDwSqyT7hcAjQ9CVIPmLIDN9VzCsNUUyV79SnPZT999uWCMV+WtMYPaob67pLhhITG4sPSJE7o2kRhNHt9DW62kXsfIzFUcq/RRWX7AHIMT/a1LxyMzrwJmk+Eq0pLHQHr30gQPi0XMyQiHnqS5OURr+r+v9FfNuqNBQBgyuZikoqj2VTDx01MtqBRUo+4IXFc1UmyaCCusp8UHvNMP+3bmHLc++QeCbtJjpdieVhEkcVCdNXchSG2XbxpG6SpZyKMMkXlIUrC7JlPXKdn0lp7X9a/pyaU1/d59XJWm9bT6rxBHr2ak651tdIfVP/GL6eKdGHIBWIEblWJ/EDBXMELIjpVkv+XsDzIVa1ylstWH5ZcyfBGTfataRpplhq/wMBsEPEWaodXJUTdanFds6LWNLV40mYPU5FRuq/qSIVK0Z22pIbS1XnBRZ19+QdiCbPjkzeXjSp1C7mO5gCusrto6aY/nxVDZyi41pihlnm447ZlPHQwCdyaew28yoUGOGgah2ctpdixpaCALOy25F1hI6HPjt8PdxxL0lj1Q01Fe+gbHi+7Tps47dJEBBNNc5w5PmHvnKLbuRgKzKAORLDBTDosExScUoYrxmXBHIJ4yhUhxp3e2K+y8HdU+bC51k/C9yPqOhZvuDPXU05ixX/jOOHpAbTsqFSmunwZSm67IxOmReZ3Io6wFZPrnIRFIYeO2U2VwFJ3Cp1H0LOq0wtu16UWSeJH2Tv2C1xCT/iYMrQ9/6fMYvAqFJ9eZ+nkCnPPZIsPqbZnFQ3gZ6DOn4Cbai+go7D08vWdjezeE45lanZoxYDJ/W3JQA1Srv3nFaAlFQOc0Bnk2pGDebMJ9pZJfN0KBHfqriYc8zNIFvojShu8Bdj6ZMNsoB3ThU5NnnXslx8L9D5ndEhxHl7WR9SF4Li3e2DQsw2d/p4QE7Ibd8/I0EP5KbWut3TIS9l1g+V963vstTZe2HO/Nzi819LhGtsbMDR1hqTTYjeKlCVqT0hEpayj4gKUVRR0VY4t+PBm31eO/SfpfPwHilGqrB4AXwK0+GWq5UcXK9ZkWg0I11YmRcyVgVjw9kIdAKtAFqXYjlOlS1p8DToj54Lm8t6Xr72OIKsCJmF/3Uaw5tFLXKxpdaoFza8CfmTXGcS5dLiC/7i+4FKfRg22zY7bA5zGNNtK9rvTbLs6pnXD8AFBoBjxpaxL/4B0m0YsRN1YzVSSpXF2dD/PxuWjM81kx3yXZcRj/6hVWDQNQSWplBvH+xk1NFasUtDDJQknrKFDjGIoKR6XjG7cI1w4ibT56hxxjaS0RVTi4m+kRDIlD3//JRZUIAH8WyxBykVTUNcGKkLbCip3YBkjPki1CdWBK1E8PBeSaeWhVl08LYSGsFmkEqHcYZg4JtYqLmGxozG+gTz+FNYMjw0NqJQY9zGGihlVL+B7r08aXhffQLFkzH/NPvhbN8g/EvO7Qsgwc44RkkNCAorYovHo+7TfTyrpDFc1Tm9mrsXUuHw0yXu12fl+DHXgAp6IYoCk5FNqCKIeIT5ua0FwjyM6zFViMuLNrOyAhTKSLnaEs3tt/CIynm9QH82OYErxh7BZ2DlGlyGfDsz0F1nHYoctpotcBVlKKy5aX+0LokXtQofMG0/Rv6tX+HRXOE/tXprqgMdowWdciFR0HXuDzDEQqCD4XfrzM7SbBLhHKAMeTa5UD1dhkPnxRLGFRq40nWH+q67wodByJu6wjIO7N1nVtacR0RfX4O38j6hXkxUq8G4l4KsLp7PJmbn15zyOvAjxkOUHUv3eHxABkUT2MJJOeLYs9NCZ63OmNLqJyF/C32o3BiiJFvXHlXEXswiOVv0AKVcqhdPw70SIV77kI/+SjPWrSXSDdXPIQLbzjAGNa03OEIatDTZdJ9Uv1agQvE7GV9X02rv1QZ5ohkcyVsKxambaroTX2J0WUNG4yZvEpayr4MOcZdrJXZSRwyyLpc+GICRUxpitXpxP4FN1ccbMUdMv0jYI5ixuk8AuFP+82OhAPkZEPgCdd/mIo2KKpAx2nQ4OTsPpfk7B5nF2OJge3UtL/tWaCX2RqK1EhvNbWqDET00d8+g/7YNPPtzi1UdWGdb9R0rchRZjFbrm4aeUwwnH8qlVUZlN4a3A8p29nfzqp8Fq6mhs/4qB9E0KbISQTA5HxUwz+3C+0zPAlxAr2jPymfW9LWyuFSH5p2B82+u1bAcRxxS9/ue4Wanp8MZFqMFQQ+XW8I9zytUIFKy0/bUYIupXcjp2ufqOyUnz51NsTHxkcajt08Yh8mw787zbOwmO1gGT0U4DjCgXdLToPT7X2HrO2rvvwvZQFPS73VtfVan061gXRe0SRK9EdvjUJXZ/n2n8HH7dYYi+7ujy0JdJ3897pidjb9SRainScTNhVCWx8E6Cy4XU0tmpkguhn0ZxWBN9tdmX1w39Wl4sXCOb9OjTdlMBDUvBUZmIK6ViEzf6DfQUu5WQeiTbyKyl4VLXV3oxIFvfiR0EkLw8bs5E08GPIBXgTdCrxhFWuIFEzRrL7B8ks8hmMoCI8Gj5KrWvPjt6XkZqqvDCSL96zFOJ4aZ6+S30BWADDm+802m5XOWnTq0HyouqGODlSJOhmYuVK/472u9MJCxUXtRBRDJXFqUAs9RTWB+L7BgRtfLL7ta3gfYBJGbfTtN0/S2ENZ3TieedtKCpWtIaMTht5sG+1bMDnDLtn4K21gCz6RmiwDhKXsBBYCYOtBWSkySUEJg4IlgR/H26g+pUh5YsRKVrwglbifuynrmtkm/WYWUwywwEG27ihur/LUJ6s/RP8tdOgCmcHjDw4HQKSXqKJ7tZgecpM0P4UBFDCP9ilCx5SNMB75xo/xvFxJuFxfU4nYIYl7VfYzaRFehZnojH0ca5nxcpiDA+Gow2FkOd9iIwxFq5dW637iIIm8V08/Pm3HVP5TUv8uhng5Jq8r0nZ+BjQ2X/qZED6/cmiyhPCvFk7duTzp+jVT3mztN3ge7JNSxMtWHewlTBTHeaFbOIOgZxYOSqQIWcUJHhmhq5f2Y2p6l/dGV+phmKhGR2Es6b6Wk29BiMQqdm7rP3SVCIZ/VIpBb1Eh6dDncHB3ltSbw7/4voWnAAmQu6tutfTm7e6Ro5e2uYNOmIQVyaWXlEaRDIJJ3BxcBoPoFArbsblQFO7MGZwp4T0qVRrFB4xVyB7t1eQy9d8fE7OzuTNuZPt9uP2fLhdmvMP4Xd2Isp5wqgXvB+BMkkmDTeMamLHQr5TEfiTpeJ1uS/xbXJJEpwEVMTSGnV0bCxPvWfOA90JDtUXFO8O90g22OFeUywp8ZXGnMuzD2jRcOpdmWWmOWqNDZL16XsBGERiNYd8htecmY3xSiBsEJyGyICeD0No5Jhliyso7GOBFZKc6oOONvOIPJv09a3DLqkFXL2QjO+R7QHayWUuSwOZQkNV82DJ+4kCIZR5hjRx7c5cBdFeObJFR8gQ6V3ZXCQ8I0OB0CRnj0WP58QaU96gVQOAPbXu8P+be4B8WAf1oza+0KHQgFIiuH7GHWO7e2WV8zovcqrJH4qKdYsvCZRQ0LU/Om23zi0xtJWLb9tPj9bn7/zYfheQ77ul1GW97nrNyjwbQnuE+6ixmqOYo3gIMT6SbJ9W70ntPFCW4mhazh/McuJQx2FYHWiW8LPe5m3IkxH63PWv7ZpplgXAOfMjeS/c/MluXvPqb2kcB8yht3yZQmmYyXjjl4KN4vHlysI3W19GoMTmj/MIxWPr5rEkx7Ytx3zB4C8PLfQVunu5x5x3ufl/13LiaCNSJng/er5pzN73vjMHMGsTDOixyr+HYadWsoMX++Je51/03hy7h/CRFsmWoktOEGjqInabtpUdxi28cQRGmkc3NZS2waRrUC3PexMs986AnqproeoAJEnwoai5rlJ/e+CMysORUko45mRy7Kn/Vbd4Jd4clfxgWc7h38Uf/483sOHLGIsycygpFNYM5bXqpFCMorjFsDPij7l9PXVnJAobrjxZlg4DuRBAYM/WDhGjOVXG/8O/fr1DoNxLyzy2/iW/Hs20xKNSAdP9YgsoEzO589oOhDu+jMiEl9fisZ+EQXbZiTD/ZLxvjUcDPY5Ve9Bk3Ylq6OaoI4P9EfELt7pyKSOyDzgECWMKlzYEXYZ9bIacaA2RvTERy967JYoiQYmf3U7M4JCo61GF2GiZ6ZwNAVY+ZloMKo6YetG9uRPvKdp9k5N6Pbu+HcClzmftcRI1j5kidaFumHXlvaGrwo0S7YIUYHfaAsU9oZWj9iNbE1qu91PbFouXIuerCVW8tbmdX++/5BRkdf1Q3dlw0Reelb86LPkP5qOJUTK7UMw2og1ITRSKKgFB94lARuYwNh1vfitQe+FBZfI/Oqq5ghtaTWLxd5V7ViOsTr8PixaPteDNaQXzfmGtQlt9vf2qh7NgErxhB+2zUVmX8jxOWEJ9HHqosDxksgccvg36FET7UMdcE/FdOTeDEtnPl7zuEtbaLuPj01xU0UOjuSt2TfzxV6OwhEkxVIThQ8+/J2k5svw0b1Ozg8DtcqA3CmEoruX4cBtLEYrWCzG2sDYG2eug7FxCPLXylKCoKCCrCrn4lykdzoHQ3z7rQ1HLCJ1Qc7jE1GLs88ovk3mxlNvDJncCgEschopojBoBuEDmECGPm58DFxs6E8WB8Hjh5X4ab203M5j7z8A5MBvRMrlcAWUQHncuZ0zPgsA4s1DQk7gm3PRz1/BkIVsC0CnuZSuuL/sTiCcc1UBB43aLNDaaAJm4VNIxwkGWc8R6wAZ8nF0HcE/f2VWpkdYpXZAOsJFjsnexBmcOT2Gj3Ku3+ij+eCj2XG98iImK2t6zQ7MyPLu/tEfqI2rHGOVZcMdOj2cnPOMbiob+wiaY7ARfFD7+42zcYBEPMt1Ad2Dzq/S8fYkObIa0UMD3SMEXIa0/omy++bp1R876WJVF/rxoA4IyEV2kfGkBzO74xWrol+meJ9Nq24v1WbSr1Enx2BQ1LukuN+4at2R0V2rAAn5qIE6xz1qIgtIE5N30ePEfG5511IMjonPm2h1O0xqko8nFG3Aq7dxtDypJ4An0sZlxprjqUgQvkg0lOcUkvLb/q/djZVsX8Q4AQQo+6h9OOUTmC7bHfQBJmUjBqb/Z8OuTRMwo7OLPOkaJVX0HY/lHvyYhYNTS2OphxfEWfcwre7DH/5WlVjp3J0sjGimsymGA8h1keREepoFkPeNhuuyVXHaq07YzTxpgJXYw2l+udFghCfP31w6U8QUHjqJN5D/IOrJPFrEYqZwDORLnypv7jBfjajKcd7GgGJ7OjDs3FkeVOdpKJpzD0hRfPGlfXCps+Ybs38Kt2zvw1hAKgVOKBp+c1suYKRmeFtbJw6eMv7EDFMEplXfRWcHoKkplmEmBV0mDhVOXYjG4MjpA6oEx5PM2xfKPcNV59uDJx1GNPlTy9s4D1Yoerz9KaNkkjfeLgJkvL3DeJFIuNw5+Mk9vO9Wh4q3ftI+Ol6I/Kj/N/QRrkznG6pcERpEkX7TKOItHNtXSyIy5nGjT4zZoj5ReN1t/vB3vov07Pajg+eSPBfw/JTjuRrPE+H5o1AI2W2nTLUZft32xRk48GjCFfzwGrvtqk7zfffL8ReapSrdb1LiLBPReqJ+oXX+1pvDS9qZjMi55I0zBHVeSmTXxMIubiFyfYMXKMUcavsvIYI3ml/Q3rETSqWksDwHfKlp61rLMgTkTZEdO0Y9NeNwtdYCrcOyvSb9FoKKVVZLy2ZmaVEECVMNwZYyaVH/8LnEoWTRfIUa6/iXjK3OuujbLCDrr0JMBbYK6yJ6t7Wbi39e8Ku6G+iR6RPJOcqh6MQ99OPTWdIVKhD15F4QsWIh39Fin5e7PTZrJlw9J3OrIFYzDWqCj5xL6z6UC3Qg53uP2TYAhOjCosvQJxSyDF1Yfq75EjTAHmNjmAk+1h8U0/IxP8Vj3dAFfhc/49zG4dbQC0pthoz+FIRMsB8g5WCPP2P3zbDTi4oCbckh25arcQ0vovmAv2ZiQRpumCbnZDvIcfVE+7p4FA2VnPT7XsLPEaOT6bq1JCw01e/Qm1XbYDChOsBEr2mok6l8y+N9mAMHfeygWqTB/5SA+ce1+XcH9ldn8M8/e/9yy35zNpuNmEM33oj8tVx8Fab7e0XhPBPOM0KHDoa1EclCk+nQCZjOhk7dO0WIp488eqY3buc61Yw0UeNxZDn7/PyTrBwX26nT6h4I8l4GH7GuNOCe66FzTvc2W5O552ZxHOg6aDcB05rZAeA0HpdqLskS6fPFRkibEjufW6DBvFBz45MDA/CFclxVvvFdBZamtfXVUGdEprMAKucjxHikTXjn6ZWzVvN0AXjpVfeYmtM04PFrcy+WipluuPraU++OsNmjT8m+0wDUDVKBLKon8GSSFfSG6TgqEZijX6ZCQxjRv+gYFfOwS8eBtuw2or2ldyyvUw3q1LSnQjuChrdEiLDjgnnKi+fvgthTn/rpdCyJZWz5j86om+Udntr4QF+xayR43PGXiE1/nmAjDGtl9p2QzKopsTxGDOGvFd4qTN5EoED+jn0Y1nDkGChqgozJsBdtnXpHBuYNqJuX2mEKYiyQi6quanmPC2M0yZ+aZXf7UUOH4U0wW9EBroo4jjPfJbbB61oFcJf74kdizNdIOtfqrIyocYwUJxZ41hyBPKDb6ptRUXRaeGKe5g385dT9Nl1YSIj1ETlxAdFqWmcwiScvpvRSaKdAlpJ6bYHi9Qk6nPp1eowsvmyWcHL7DwxbfWwawFSPKXkJr90j3NVGYjzY6vUT92jDSeuhHHTd29YF14pfLCnywOuMXaGz2bZsT2BcGK0E+5rXrZuBvM8LC/55/seJtXbfUQ7MST10p8ram/jekGh4wSzmQsCFdGPnuHpY70lqRxH6xCAJZtGtXW3frstmklPEAcLiVZ8/1p3IlSbG06rQmzWByzCyXsyMLnKM1HyBl2etESR5ua+2t0sJwTkno9lRb4jky9EWdxcDqUq9jX/84ZCwxX7j+UOuykad0KsBwVPfBsshU9VXidrYMaAUxk7BPzC8zgW2qcXwAAdvj2WGUd4NvZ8CRTCgnbiv5CGDY3cG11f1Aao/hvA0fi6LhdMwEWQRotCJvllKPxxt9pdwvKWKe8JeIZSlv1eeq7o6cSD74PNVxch1MpJXo8b3RIk7m31lKzCGfDaLg+NBNuLhVMC5MfFgTLty8Wd447JgvI7xchrNeXk2xDXPe5AROzDPpkeGbVTmI3XCAoFDp9vUeX1DTlERzcJiTTc+GVfdrd4YsSwxwTlIrOhZU3jnVu+fAqBsy2S7ULuRV0lqkHiAXSYZD13Th0P62IVUSV0LEgMO6zUUTRJct0bnlh52oXvSmohaplM2V3iXcp13QGtEs0VPUOjr6WLH2OOXx23xx1SavNgXfJunH1+kctfC3wdVVgnnmIzgsKKv5xAUxsgs8CCBRZaOZnmns3mgjvhnDEJBE9AE6iSB7dMWmYXOQemHDPMJrXmJM5sQ/JrbDc0sm4wh4XmmXib4AZ9nbHdvlu8URU25AmptW+ndcu7yYgE5qc4Lw1dwy50muNCRSmmzkeE9/tvKXIjVDtqQNxbFVpwIvytVu9lddmQVJzT3eUGKd1/aji2oW/wmz25efq+Kk/SJleJiDYm5EbWszZzlju73ZLF7K4Q1p32gpIa2buUCk1ojPVs+V0qd3zaHMSpCdCupMvW5ZHW9ZSE+eWhJ7j3uep6E1/5CvHct6ZPC89/ppCIduIdEIFPzES4SXa8BD3IaWAXLA1xo8Ru16EDiyC3NVWj5bDtGB0oVFfV67ZchsB8t+oJJoka//cwRGIjLVBxWgs1mcFiBFmGiUyrVtf6AwVX9/Xf07fYfd/cg76XCHJmZnI51/2nVut5jg5xdRD5t3YoEEE1VM3WjxoHTpLasAM27FanKut6B9nd9fh/Vi+CuIN/o2BXxlkAUz6VSyHMt60D8dC/QHBX5usKeORYPnV3VTlQGVuxf3FxdoTaMK2gOKA11EsN8vTo6acZCRz/vP+7yXbaamAAi2fmgjmwV6zk3i+MYxKd2ArvhdDCPX6/Wd0UsNFWDDxptDfH563TRvIGjpM4ip9o8TC3V45+CBuVp1Prunfk19ad/3vx3fevL41G75gb0HNOZnhTBNY+BydZ5ZhQCu4IHFmGbjpFLeho2txRrhEl/CRncaXb8S70ML886W1159DB4gHGip70QjdWLmb91XOzugsgTPQ566KTz2/7Fu15XZVI5k46fKeAIG96NYxPb9KxZyiaDDc5cSskTVtxfsedfdPXZtKJ0whTRndE3i1p0ABfN6IdWmpXiZmetSON+x/8zS+gxMKKk32KZjweRLuKpX4MjSVO2mvwYdvsERG2860VoCVPFB+HicQ8E4ds0bUYdx0Jfv+zAQd0U29KqXIXy2I6RpY9FHO/L71wEFHSunCEA7YLvQPAwwUu5BZlrzWkDGPmMV59CgRrtTSVyT6DDyGKyLvjBsXy8hkvWeFKfULFib68/xXOITjaxNqdKrdzrBSdzqqH9Vq7JwXx72LvdYE+3N1Oxh2Dz1oK+G33nld6pRDTkvxWBwQiNTn8IDD5n4qBHhpsb3Lkcyvig35+2jsdZwIvZ7P/P9HeQRaZICBPqbRE43fMgfGWTCGVjFagWc8Fxp2l8sImA9dmfoMqK5k/gy7BmGXI+GcR6Sj0o0JT8InZZ3mu088eZ8Wx0ZuZt5dg3ihzAOF8+HQ60gjHr4iceIcObdqdvkqf5JapADCLeG5oPcMhyBNCkN266P0peZR6YcoqcKldti8lixzbAiBx1sbgm9aSBVsnDzqsjzGnbEjXGKzV8kKYlxdJJLOWAKPK5AS3jBYUU/GZYCW+L44GZfBzG7I0c4lRR6JXpCVqtzlTCmUKb1o3q/F4bhoVCn6ajH0U0iT6V+489/gWIYhwRB0YpFoth4w/7B6rF+qLhq4H++/ux8NhNirRXz/V+Xe060nd1eKGzRpQLxoP1MDU5gRhtqom1UelpBr5WRVlBKetjVraYVcH0lGdnk0k9lMAb6vU5GI3XXWFSzvZkPtbGMORZ+yWmefZ9rH2m7/qUJ9XMcUIsQGWiEDMVDotrwEMP4S8+Z0cT8dGALuhKu9rOeTNtzKt5fjloys5WCccApldljRg0eDeJfjkRKR31FtmKNJQHB6dzuz6oFFqgdV7bQlyL8PgykbLfipmBWlXEnn1To+lRSFhRD5XZ9hLbnqNvxSKIvPO3/34XTTlr8NTurhyNWBhvq5X8xFCIblPHOMtv8wsUI7bDdFiSEPlB4Xk+ZNp8KW/7riigut74wfKA0bOhLkYtpqp75jGGedUtyQzmz9xHIbyiZ+GFzHpAsU6MkA/ooQcBFtZHVaQG2klEUzQ09rVcRiR4GadkvT+LqOPUMzcgwnjlLJo8ZrBVkhE1ybACoE/v1mrEH01JLOyyZrg7AyDyqMSnoOhCtdPHFQ4r2q8AVvSbeC7zlYiRW9ws2KmGe9b9CHnDA1Epgw03G0nF0YLB0KqkAb0c63UkPua6jUQ5hAa1zwkMJHKUhBX0x5nHq83RS5dULDqGZCAAZ0Wwvuh2Er6Nm0qOxx0qJj2QQFnJB3KsTgPkzrQrASoVciub8iKJ5CxJh8YUuxYMv3Ofk5mIarrW7y7qMAeXwbubdZf5bCsM1B+FQWMGYLyxvpMEK2fMBhRjOlY6xmRoUpiKd+wCuFd5s8ouENA4hG1l06qLbVNLxObJ6NGgkQahmhcg9h9WLNwoaJBNwfoByq1yI4v7u+28IL4YFKdd2nD4De9846E6qRcQMSMf7sYDtp2GY1OyGF+1HYtF01n3wIrE49wrZGf3Az8hX1JaBwR/16Y1r8p2jRDVclHzFH8mJlImHxWemXxCgVtVDb02jaMDxXzq4O/IkUqx06i1+8HTF5F2mf/99ofHoY3HG+P+2N1yPObbzkg9kJSq7TiYUaRlrVbEpNGLwwHB3kTa7/e9ysxnncMx0LfVWAkp4koKXw2TZaPOz5eppbhpnysxCZBWQ+n6UZmp6009bw5xGvYzcxMdjwrKo1uy+gQAWFc2xFZlJd1DFVZCeEUWIjNivnK2rfJgRgj6hdIuWur+7zbKSNrNpVGsrnjDorVFXfKZRz9K+yWPzRuwCjiCuRGp3sCPNn6l3n78Om7feI29CSotWG/7z7y0Ox36qtuf4Di+0qHUqZdEV3xRpPM10taum/ctVawjcG3mj/fsTW3HIpKRsDcA7FDaJe2/Pm474WBkmI7dCDHj3ixOPNCMMqXBGhlMDx2tO4n9p3eJT0kF+agusX48dzdyPFZHsGexpju3KL8u53LM537y5vMB+cN7AKqCpH1jgL6cdQ1b7y9m+gMsXAIn9GcGqqd10DfplBZxydQkd+ZaivR54klTLE/snU5vk9Z5Zor9jfMcawSKYr1bg5RMCkeiiIVd7mHMlPruF8GYOgkSz30hrZnUWsDtDipSnFdDfNER4ZNsCGfWcrTZkqHy+IIXIWmkHVqI57L8eQJuWIE8qY+AECrvs5MRQgwoJdq9GUpw4sAl7xIZc05n1nPpfsAj+fBl1jrF+rdVVwqtdoqrDOIhAzUrYZPslqHTRhvhBWi+mUU+Echk2xifdNVOBVk3CSi6rdEWyju2FgwBVBcJpNjqGIp8BChcPl/UFV7QwwYGC5/gQCNvRfvPegddwDQ9zXWWwIO0g2UPBZIaef9LnUGUj7VVfLv7BVFdNYFbCpbWZY7Z50iWV7rf/1cZ0aPrRdA2ufOw4Lvd5bF1PQUSwIqMv2hsklbUKEWsUKu+JqXIIO41T8ciV6axjriicgWuDDHc5ZEIaj1vJRll548AaP14OTlHFNb/adOEvqRNmsbIQ1VGYOZqNGuQuvLjY8dd1gtFYZFI8lMnQFdvJxK6nZXRhsIQXjLwgxEhQNKjinCTD8oBKL+APDm1JPZaffAJstBUqUASYOn8Es8gGVcwqvPhTxQPXqD5YJ8xRwxNIZ/9Y0TjVy9KPXE2GsycGbOYCw1k5e9X9RmZJb/oqZSMQExKQn4Izz2OrQzHm1MeIPRdPK49UVQ3diFCynVst4Np0nY70h/zTsKK6tRMu30hcjJs6AnYmZk1KHiuF8k2ol/V0dyz8R3shauTqHkyrwCYC0Ui5aXU/iWqNM+K8vMj2/AvEWYJERLjUHUZwW+7dYQe6aU2NNilzJTZafgoGq3njXOnD+9yJeUFxesTJc3fbTn9BILJ11K/aFO/Zq8luJmx66zyDWQU77ssSBED5kWCXE2BUJpU4wkGfG3joyj5OU+72/aCYv3h+JTJb+ex2PU9cMSe9T5e16isChpUWR7swHah6pDOwOKPs7bEzEDYBxp8NGDDNl47u3hQLNGRwZsmPW8YAD5NER2/rMTXypN+fe7cx1bHjfRjLHHnzoJeLqzaYvJoNWrgmd0INET/9pTksB+3ohgQPr/QcO1bXTp7jh3FzTam6nFESNupsNzMyEschmG5uVHr1ifbmg0fjdvskmA0XrrdDgq+S75F42ZFvyoWeIkIo517vQjWG8tL0LV6j5OfmZETsOz8iDnZ2EEwqkgb24UKvagviA68WRndKBbM+PHRWlRnZjDrXBQyoB2VXEnEZj8keo8PofzfaCNqeW5I5FfFbiVTmr1xsGYekfFMv4MdnE2wW1elj6aMpdthByr9s6yO5Sjo3Noc9lqfdeI9DTkCt/Z2hbuAFOvX9IA5wy7Jx9C21jx3uRtgOseswS9fPZy1tju5a8pBNHjZxdu2mIKr8XQFTCx2ka0ldxFquvb6ZOOduAVj5szdNnilB4AXWQmAwy8ejl0oQja+qrBtCYiWrjCYyrZ0bHzGBBOSA0B5ye0FXDzeJDQ8NQvXBHvQCGNyTS3CwR9+/SCRNh7cp0bE+k+YgN1vTHT9KMw8XslW1rTZP34o8D1I1hgw/qb6ycCovZ9eLi3bwDWEVcnJ12Zy2yshQQBlCDkO6taDn6IiOaAjbU13KGNJlL2JhYqsKvXLCMSgngjU1F160/lFLQ/f7XV3uKLT3uaJRJUmyUkbrcv3TIndfXvABbFbxQXdxKGQ3OrOZvMnZGPkk7UAP5i5FZ+9wqLA1KIbRMGApoRZ9sn7x15Br0DXMTL/Sgee2NhBViamwhoAf1xyZtffk2OLZ66BdMCgaOEW6v36fth4kz9YJaWinbugYqYwXynwIL7c4PvTlqLf35HhIC39AX8SnwhjU44nAhwVETcyW9NncCQLJ7E2RZjM2iVuLri49XAw4dbZgfh6Td4gZBvQr+sbjyX/ahfydW0Z6nXlEa9raE0lwXwWxDpso/6ILmgxQzTteXlwpMC4BCSqwzbsOi5u4ADxiz4rwTQ4vk5pkJAeK8Tr/R6yLWubW29oWDb3c+tZbs50BSl5XhUjBDJ/ehVpCE2kWmFv8e0vRyINvXMYeEKSF8SKg4olb2ON5pTXZhjXjItBLa+f/LzgdSR8EzX/OZ/E5bGZk/WFx9tXFL+c+V12RRzmtdxEp+wPXON1URnKqz7AAWin5qS/OzIciVE+Ep1ml9WOWp9iv1kRRNb/MOaNRQZnnFQMjMFy8Faau22+chvTmOegefWKq6po7a5mIYjy/CMJI/1oDt4tPqiX6nOpdrsyWHZdcbGwjRvRgD/znZ1HdtwY8zX4C0IXtNN0pc8sNYpmYhRt2qTC6TVb4HzyEJrPbS8KEZteCGlYARh81JRN+muCviDgONZp9NwMPJCaVvKNq9O0vnPSCDhlNp4tKTeB0JSr4kPWsh/uQTbBUXsOn0TBU54XfxEPfUtXEPzfF0g3/Vdyic4dSiWoNks9moxsS074rUmo48ZV+YFvELmoGAR2ZuyqJANpmlVFISSMtltre9n4SV4vEqB2bdUyyDaWb6q9LWxx0TCHV41emLqxIzvXIDClHLyluJvogk0HEUPTvtoqL8QXPieujOvCm/3UQHdGpKke3Wg6IG6ojtsnZhXCu1S5xcpsMnJLCpjMWmheTCsAZHbJnZ62EjwJGqrE3VnFd9DxMzznblVCPfzudnaqPg9YPPTEs8B+Z4FbXguD/9Ll7d8++8eCY/jYMR4FyYwdMcHyFL2csejS2KpuTyZ3XJO903aLo1TzjhRyoBkTgGFxkUgOnWft/IOoYZadC7FzmQhY11tLgEQ3fy/RJRFpkeWZY6IZpW0Qcyc/6nJKl75w+eNfq90UWOUWk5S9ZFe6vD0f5R4R9TGvFYePJ8ggDsNeqjxcSnzm7U8eH4EGfaOpP5twCdFawtiYRlEGlWvo9KWaevw0REqLiHoUH+TBf89ojI1OiGZIAmxv9j/NVqFtaXXPNXI2gsmZIZHTOOQEyQfKHizpZfmzdyocMVchMBuXCp6AdEqwQxifuofxTbWsMQrXW4srMc5ZhqK1ZqXeYgigCbCaI71h/CMGp0WUkIhpF8Yu7oUuObRcmIhR+txF6OXHg0FvTcM15DQihsfrmMAmT1dCgUUk7uX5iswiKthllWwydWs1nafDykRV8poba+yLfP7uoVMm9L4K68F63JKzlJFkKxRoKlfMn6nzel2eZ86zWon+QpauGoi30Lm8S8hQIXEvbfx96VfHEmvr/iB7qyc2G2utt2AkaGxCotdFTN9HHiYNsVf96RLEx+SIh1a0eqiL6DmL3CbA0RM2/7yJjFYLckIdkxmS/APwGWZHIZ5TEnhk72C05zR5tz5Gl81YNFkbom+zPg1GWXf5naDieJeOu+IVAYY2q8g470F3d9PiXSC9LEIEpkGt0wgt2Jx/VH6WtiBQy/Xt24c49lvMPsdNraSdGlXQH0UW0o6IYrTfUfAW2jun3TTGQUbaxNzNcubl5VbWADr9xxMOuWIylv4ukjWu04Ejflr3VAQ5rpKbZ/2dItmOtYCPu2jRHrcmalHUjdYFW24UjaHmaVjy/8xbYCxDuz6JkxUET58WQlc2DkvotfHwsAnNfnKuZOiiVVYcV4guwwBzyDq8stEve0RRSPttQZQiTYc5sJb6fVEYda2h65uE+683lEdR30r2zNXh4g0CxEQTGh9J+3DApnRcOmG+n2OKzuoS2IXLZmq/Nn8rXd+mtU0MawD5+ATPDOE3crgVNTWJgc7WkwppOZ3WjeUXP2CiHpzlXhVddxaIF8emBDnWA2XlT8bIYcG0Wb16bx/QS6si+tyLBUhGzpY2Bm1sSTDU1myAgakurPxlFMCdP0iT9cWRjt8AfWxW2QzHRLQl1kW44SAnw2TeKgc6zr3Sk+vPne/Jbjp9qH4CL57P9mJW7u1YEAy/mPXIB4FtmzW4KCRRduR4nPvKuLz8cVx+Pf50mzseHeDyALz4eJs7KaJQLbf5uLx2w21pznGeOk+U031V14WGutz07++3+4rvKbcjZAyj834C/D9iEN4dyv+4ByhEdaQCxuvRbvxcEsP/dHLUGf0T2eYVIKY2Qt/IPCZg5VOaMF4n2j69fygq6TAQ37az1m1eIUlnFgAwtKN9SAZ+lL6jC9WAAgYyWnWzL6/yqwHUyML7jn7g4V+HLq/kvtw5oFwIxOVtedoX/O3ctxvRLD6gJoZnJcpu/uG6KsVN84pyOmLgxF6jDBVGjo/72H/UsNtgn69ZGRtMx3BAW+mm8vFePRPYgIjJaz4+LSc5FGNmMKLV1IwZw8ZyFuOwkbAcTSpERclL26MVjMht7jlzQ+5o2jJNQ8+Ir/9LfMS/nP75t9s1/rkJwpKooa3ZM/xbc/KvipDHi+893QDyFJpfmT4/VtjF+wcE5Sce5q++phi/8Xr5KU5/PcXWX3yhwGNJXsqKzauXOaD/6P3dzIq6dJOqWC9Z6xDcwJWJVmupLP9sUOXGdorIBeF5uSdivXS60CL919tsWITo07e5TYPC/gjO2BwbjHd8xzJan4kjpZNdcI+Rd3bR7/wRcIOxWlO9jR4B5o6Rd4zF/Cegum9DXczt7RoNu2ZXySJ4DJNzNQYPQYjc4WQhI/lv+Gj4IrTS6mU+rBc7NKKZBfQh5a0fluwseJJ09fyYx/fXI8K++mssdtXNupJ/9JW/LMCM2dGG28roEx+IX77XEXxJu+iOcSwmKLp96xD/LYYCzHT7FExmwftwU7Wcu3wygQGB1P2HRHdcHLtJa0NT5pl7n3P5CRpkEelSQ5ewPUqYR2RIKJiarCP7tH74R60xY9azCwPiDSemZH9XBDqmNQxMX4fvKnk5w5pL38Rv5jToYYxxrOncd8CmMaOI5EJymyPbyl6D5HC3Xw9iit3VC5uskAXykPAjVQchOovd6L/eGt6wSM3kR0TafSOv+A3k3HXYELET6C/6bDN96MVNgjLzBSLF2CoFAGM7ebf/iyQ9Z/eKXxsqqZ0JSmqyqhxT24K+/dSunVY05b7J8ms6dNx1OzMjU8lzIjXxLhyqaZARHee41KsNA/bqYexeNBss9eA38QB0TY9dJGUmPUjj13d1gZ3rqMt1ZtnVqUb97MyMVvtyYhSc/h7GaSIuYuJdybb9DA5BVhsROk5vVJWdl5GxJZ/b6UF/2SxkstFlOAvw0z2BvaWyhJ7dFAGBiZxUNn0F0wKxWLA+Ko5gLMP5QOf9R58pDlu30oad9y+Cs5qJkBMIwkQqHZiDl0fUf/XLd6yebQr7V9EIDrX6vEFnQ4oX3oxm7ILh8cs7jHutGtzW6+baKs8nHjPjg3sMBa2jFm2JQWRdx6OiqUL8kWbfDLe0D+MHeQrZFQ129aK5gC67buxZ3v2hJG40PBWBL7+XsvCPzOnM8zlBUHt8qTvEkWOXI11bOHXp5I0JXtzKuPJcKs8h8LnVj6R4k6xbKm99P1yrplKI0Wew37JTmGoKzcWKNVBEXerNDqTaNNrQ2s5+9+RkwafL88H0S21u6UTqVAowCtANmpY0w3nZmwyzF2yT42n1yp72qOpR4v4AOg4H2HWZ+uBWuYEmjuQgWHgjJHmaPtkBGEYKsOHVxaW3H22wpkoM6zd+6vA+2D2Kz0nm8BqOKhrvXrWge8xHNvRSSDnc1G11WHNll8GJI9UVLKvHzcBvFH+7bb2+Upl8kysxKN+rKMzC/zGMLjyvebNmZ4LXw2ZNfDlrGx77NqKYbbIf5aGGC8q0xKQ/xr0HV/nFSxpfR29qoXi08QE2X/3vyLabHESu9ejhhku7rK7+fvo1uQ83ypk7m+4oaR9mhC+dl/cnnYvl+XZHVmpktsel2Oc1jM0Rpr70I4KlfGuRU0l6iZJlkj2B0rgUnBZttmIPxvltnIuZKjiJ5Y6YpJkSiKLpGh6kP8e748abokG+QOgDs5vvkDEtJg5m1h2++LA4GMt2R3eD8o8/DFidUGEP7cuPGd3uEPB/ZcHQn6NiWZkfpsdT1ckwJ0ySVFgL/MXM7geON97pxzlblIF+xz2O79femZyAZIYc904Vbz6v1RLNETr/rhLy6pg32TrvuEA5TEm8u28zlQBPsUwzfzSyqwX3Qk50/T/q1e2FXm4uvDfT+JW5Hi24olTbxicsAfvgD4rj2XY9saIbeOwxto6XLyG7sA48cvMlpL65wFPfUZJNX9HM4z6+UVC2sh0q3dO/NRzugl/9Ehd/h5/v0M20ZIljfAaidw822+tVb0slHvHScAYy8CxiNcNwHxTlTtYtOm3I88Hsb28/4V5MgCqiBVbViCOSpB9rpW1T8G55axSrS+diV0ZflcFU/RpEw+mA0jvAdOqfa7fuDgnTy45qkHtVI54G4r62rtPgE9aiAa0yZxmG3i6wQFDhQPOAVqUGlqH5LX1cWeZbUosR+i0bdW3ceZLe1un9tjEMgCJaWIcUUU25KFrL1q0IZqjLa/PFHPK0uTEUG3nSRbktBJ6z5ltP+pUTu43dkjk6AhPh+y3hhoQzkhDiWLxnndswlFi7ES3mNxOeUGep2szaulyPLQLjPJE2GzWGEuDRfZXnXQI4UfaBR0ikeAZyruSwmF3WgeqFnU1MNqnPrpz+qY+iTV+2aanpV3DDDwAbVZh48orX4Sih2OzQR/uI34zqZnNKIu2rtNdNKIuYchz3VJesbW+pYt/ROJxdD1WiZ7x5aXttEcUBG7kmRgbvXUP720m1/zR5PnxJqfaYBrURS4SCKMBO+pYpbFqLaocJo9luWopo6vmiKQ6WCBDMR0wVLxX8t2jtVSiPndXduSCR0SRSYo6jL76YBxsVfnFGCJCb01dLwW2t5XsGhOURw2u8pdPsrk8rmp0Nv20oNvN958cYAPERD8B6EbdCxpudTI9EAnKJP3rQoJqE0FHTQTnLMlXirJ01MydGyX4v5qQgIzM002fbebw8bXrZi9CAJa0qvGs94g4k1auyg9IqC4LU3Z2/cp9xO1ZBlcRVlJCAvjSWcj0vU5hnBdrg1Yuyjle5FKlkUYRtFkXexekZm+J9aE/zYliVE6W9iTNkh4JoubSYMGBBPPUImOGj5G5k8kf20R9gTbazMP9jKsIbwHJUEMpSt4DlZsAd/OnCGzPirSI08FEZqEnT7o5Zje2JsvENLGrLjw4kBMpg8LB+eDi+s7bnY93bbhSRoVAIIvs+8+achPPCdC6lSOSLsN1/ZQ8R8Y3ULKR783IOnESM/KXre0UZakd0x+HGyxGyv6YJHXaDY/RRJeJr7CPJRHPhIUFWH/vCrgVFkVfqWqFRzEWz+5sjwbJjx852bqKFvce8J072hYdgT5KrMsxojpv6NdYmetmumT7GaraXtgDLjBPJ2Y7SesQeOMUMjLHL8EdJLsbrWelqcx57TSXJ3cnHYkDhxTOvdyQgTn3GFd4+EGQ2+6oY+zc4PApT1mOSKQ/of3BUKY8uNFB+1OWZlfDc55XAN67Rhv/+CSmiXxMktfXqojYzZb5uW6Uza9RZ/7MnymdcLcUIqkEhVZNjvVldKliy6aRUo3/Ba1hBkNsGHyH5ypBu8IL4wAxaDcY8rGYMTmv7vq79VK2EMVtuObZuofb5YOPRqU9JOilLNAAAcFu1oa6bHNIL5eI9rBl4pYKYnGgY9dk+6kr4GH4Mpe9HS5ohrmeXnU8R5Io1PNzRTAeUYJ31XWAWDx1eyx8OEgtiJOieOMTPkUvC+kgbQGOhHziFfuTTazahNlaGBRDsf7fG87knDSTdwlyac4FbCmyGeUEdQn+rQXCWNxNuQLRs6+YUHPLsr5tHSZVi4gIa6kuc6gHsuM2m/Sdr5PKl0HBHrVcr7nv8XBrpuAI09odV1U9s9oAjb6e8Ex4BHQ/UcL1JjWu+ClPrvW29GEHdVBzGWBo1oe21gj0DcM4uHmBxlD+Kn/XVpEqpbMxwBYTpKFLeGgxkcsQzlv7SZiXzBXhqnmavo9n39UYEaCAXhFvcOIwjTzcjOMkDDZxQ/G7gZNI5A768Z9fPnUnh0Ke5awy+GYovAhCbBX+lQZMorcNSpL8i/kzbfk3wiSRIBnK6P6wDASkw/uEdef8HYZfmq3kLYWE7T3Upt2FReqbfxT2alE0AZLgkoIhMjEA8xdDUpf0Ov4NzLquaiHwk6PKY4sdd0tCMobXgfZMCCaxd+T80bRsv/iwiedoptXnQCNtpezO2E7Hbp9HBEvIB3sNa1uKRG1gOoaRGTiS76dZ+WW6B38lTNKz7i2CG4Z58Wo211B6sIs8cnPXM55hgyBKrmkajXwAXwfknCNf1S6lygVPVuScYEIBMbV5uJtD6PBqISAo9V6T8HJrHV8TD9P1uHsFPn6e3/TLFU+OLRZ3UEZCbtCRaYW3s7biEuv0QUbtbqggXGN19Gl+vPsYG+6J94gZTGz2+M75YximgeI6yZWcmyRtfGY46glqpY1P98enJ4pTrZqoSjGiTA+8lB6JE/mcgiZ9wCxpvrsSVRLPE95p+Iw7KadO7fZUNKeaaCgeVPn3DKC8o7k7GT6NmtibJvucgUkQhtTynIRoXLupliowmj/ti/ZnwPO8QRv98ZhFQ9fgeiUR8hLvh13E4ApZGzPiq17kJGTCUrWkOXztYvNsTHgaJmuRrNPdu67niZTtOCX8kSExvvDcjAQ+rNCBCBAY5ttFuFchRnLtm0fb2ka2GudO18dxhAmjX50k9geJfENuob29rrtef371sxzcSaRD7/AuE/P0Kb15BaiIwsYFjLkJ7I82zTXzPEf5W/1OYx/gAOYmZcCFbTocM1J8803BhmfwBdzPqu4ktH+M02ltYCZmnaRUYxu7TqUGTsTCx15ribWD0I1cfO0COzqnYdIb5H//Zkh3h1WwIF6S1WoXS6MGiA7TOFXr9bmugSfflyw3HoRj3tv5RHEx2SNduPXwy7oHXBYT4jks3hQ9D1nkRzsVYEf368RGPGKwDVp0hQ26rHJBsrTc3bUKNqeOmIL3OFEPGYvgKPhXZ1zsB2XlOF//8Uibshlofbxkjyvp5Vw29wvG9g9V2/bnrWtziS8l9x/9alNnKOJhAjJ4UiIuQhfr+APF6TwumSsjFW6vnBQtkpx23ZZd0EMhzGhRPIPrr/Gh5TLEjTGLwNSpRHCk4OlbgI5RAqfjeleERu8GCzkBJm4FpvKuZeUhcG6rCSZsMNH7ikU5E6IJMpOZ7NM3UirgVdAfAsVnkJEk4SaaarRe+AkZTY1yRJ75nxzThCUMVlz9mwq+RR0pKHNh5co0UwUijbOnxm5zhYUgm1Bc9cY5w5iIfTySdW5k37WvHcbVJn6fFidxUysKJyO2TUST29Lih0XfxOXBH5SI0OGUJr2ajFDl1JImpzA757vGORmFB1UbQzsAVtsVxh9lo1g+NrWDluPyK3ZQO1W4Dt6GuUzPjqWu6X+z39NolgZxDWmXqjkw65Yr5i1enUU3YddZUvHabYJi4PyluI4VAxU98vq8cT0RcyRHm4FTd6enhJyC6cXE4xzsOCqLMIFT58UDUxU8SIlys9Q99Jr2uydm5JITbqx4fBllW9d7FCkaCvxCV9LGjTfZa5ZFId4Zyq/tO4EPOfL6IqpbhtKSNrgwvUltakuBb8j6oxnrhJqRxEeUq8G/8BxrtN/ixJhWlfvLhssN6crKFDyxZuQ+VNzdVuOemoFH1Ds/9ZuR6svqruK0FGg1uyk2qV92chb3pbJgjSpUzhDI2xnDxkiVlpjdprG8rv2PTWmI8GU6pawudfwalD0SfkoZwFY+uz1VhfwqUvMG8WCoBO7BK2gc8V/SVKqpGqmeaS3U3+mq38rqf6+F7gaIRpceBOF0VjNJCU90lsfVYnyf9icgL/yATOJKW1ZM+upLB4u7C2bKmN6ik65keh0slr3zYLKF9WEoetLharjdAVvIyoIYVaakFKyOyWPijvYtmFsb/TaOqS2VVGqKA8pOFjrrKkqJy7Ed323qWVRV9lTIXPUz/oxbh/eK5wNQ7STRoBGvTLWP7mnSNXdL9gmpUmwRIEz20N7OHtQxWOx2BdwLGkAkDXYlQHQ3gYck/vyq4xVcsL/QrsCu/WV4sevCcyFG15aSw2QbqfizfJepDn+VhZjjQnYDsnAljd2VM8NxyEITu1OhwtwMoo6bJe1sqOXMiCUnQaoohGO7Yp6S08EikRcAA1q9fCb3lQaP7kwnHiUrbgmo/INfbbt6WTMVZWbDwG0qiOWLeTtAVNAofTAX8hDhj26ilbdslSWbl2AUVPDldjAkUXYxw7VPeIUV6PeOhD0eqTF52SBo82ArUhwwKonzH2BpUNFWPTZI9NZicDhdK42UXovaZszzuAuQXPPnXXxRY4AuJ6t08zEkiqkeA971D+KknreKTiu8wdGs/RlSOKS8jTDhHKYHG3sGrl8WLdidVoSYZVN3hW6hULJGDaW3fxrWF6XMk1rkqVsEMTRTDKG1ttO7HO8DvNfBGncNL1W6xKdIMFg8/QZOcO84X1b4snINxSIWJP/yilNQW5ZRtSc/GK77XE9EWD/OPyje6p0ULwYJ8p9fzOqBBPGcsmJW1KBTK1q8U5Rwh9bIwvZ6bA/pzVZxkLTp9m8v1eJvX3KJMp+emEEvBpZ5cg99S+czRxc5VyqkpTXi+d1o9N0c+W6w11t4hAa0gjyOs2A3hakrVcBU1OjFzLv8S/whdt7ocTFhqYbRu5w+hJBQhqO/Nv2daz+mICYRvZKb6kiiP9kaTsYEVOh49rswgoFGd14Xg90Dt6IqQ1M3kH4k+wq/+UFkmDFuJflVaYzWVkP4Hk8ZJA+iaEbUhf98R0ynaXGKWRmCmcIHDsgOiuOYZoRybRyjIDKRkaW9QUyIwHEMxh0OmGS4rI0Du+KKPX+gZjmfBNQP3uH/M8sfjCBLyPF4GkIPieYuePIsDIWlsvI0+80RZaSAeK5EsqnJSXNBvlOMj9akiaPRE5he2tjSQBWddJ/+QxkYbC5hZu7nQifL+YWFEyH6KqwJtKwW5gEDY+hSULqs1aZ+wNApGNguo2OLqWVEvBTHu6bIAP7KE7Xc1itwQtU5aQXYLSCJ2WVmXcbusT66qZfnMtY1+l3wuQVW8Cis4AaVTSpE1KyQFPbmogigakOUSc5xMKOu8Fo4wu8EEqePjLWAbhezuHcY6jXbgk/Fc2dHoA6DWQqBbL0uzwgX/kKq5pTwmVY4Sq6UnqaJjwXkXkUQ2xHlLLxyDlA0m6fepIrdYMPgoFwt+ebHWEhhQSzLJECSWeNDzO3KwRVlJYLCADI1cdyS/V0AVhk3UljWJqD0vl6o4mWoXhGrcJdZO6Wu0uQWh5LyXNWbvxob1cTdN/c5MhgTalV0ODhTUbtuYdsCXdv1YkRa9ct/AvWJCMNHg7NOgWwu+a1vTKnaqVUEsu88VYsFg2t/bIgeMY4+t+0hpnldlYSCM3XdyZi0wbCIQDU9zyGqr5As2Ru3NMJ47PZjbnJM9hd5XOx7JsaPSbY714dJuOWJ3Ukje1h91oSStLvHfahVTPM8L9NgPNdboy0PRhAuwVUUKDLz9fDeqMrBUAid/M+mL2PAxl44fMT/2+9IMVje0gv2LaGw1QJpzU1I20eDLfJ4lb+4DvWTUwXzm7oynfv3LfqyJ2BkTZgSM2WExQSTibsxxB2tzFWl5nxTNekJFbKuJ+cTFIZiKrmL6CZpkqx9x8HhTE65TFMST/q06fUyp/tltJCS6zOUPzG7n80Qqpq6VhnrMS+Kq3XWJl36K9erA3OcWfMC7/TXp8QZdHP0MTBqW3r9h7fvfmpdcWX8eXF9+xBxo12onI3Sfl2lHYSqsGgJ9sEVcFxNT6nquXzJmRJ6ZeQb19fNZRc6NU9nzIX2zF1FBD3zL0IPaPNCrjBv2ebdHO/vXAFtyKy7fFXbukTnbTDU7pkzdV4dCFdnNxyvSnKdcYVXJyuaYx1o8WXvDXu7N8umCcA8WUo7DL5ue7II6fIAj6ZuqimCvdJ2dPRVHksgzF4vMDfBiUf9tDeIGMMV6SwvWSVqRdeoSLUpfo7alkijxYwhS260OWTy90+fwufrBc/Zm13xGELgkU2gRy5BVEAeiOe9CTjOIryvp2biAjBybSM7+9qlJfgqE7g3PcTpA0jV6sUMGBmqT9vO/oVEOXjvf/9SGyZtbZnOk/bNJMAWxcUG1z0ngI5yZqiUGOsJHtr/gei/uYt7KN2x9AqkfZclr47UZTmPBKccU7TB9Es2bwZ4i2r2wsl6bJBDydh3ylKyNdOF2m6SSbQShOb+fYkV66MvXw3TP1W+GDRY5ZBMmrKNWxHUSUrl0wMeULOkCK/itKUWqjFIiJa0P8ehpf7NgwZ1Slc2nPgrir7Ph7O/bXKPcCHPynAhZhnkIA+q6dqknfAkF6v/zCX5m98IQkdIrQ5HGh6uywMwraUQ5V3HgY9zsXnFh1ZFxeiRXRDXxBM3qpg0pisHXkIuhg+GiWh/NA/hogcXkURZlryEbBCYMQTbdSV5Ye8xSQolYm/Sy0ZL8nMk49NQBao3he/ulNX6aX0BBEZHrJkhCTBZwPaLzYn/myd4Bgs1Uh3dYUfjykEqyVolo9v1yvIIB2AlJS3O7ESao2308KY9J2SVFTIraSN1lJwn5dh2QVArSTZHEKlPdhfhXJTtuqgwZe0QH77x70FZ8WHPbvCpCqlbTlMysx504r+Yu5lBHNuX8LSo50DZsEuPzImeK3f3yIA5aZoP9vPo7Tq+r1n8XzMjZWNpUXdjMLPaKUspk5KjcIFiB5tLDnfaMs1oNfXwg2iFcauCAs+Lv/wlqBBm61OjNNCepq/N71PPhcVt38XtgaVUtrNQL3AvL/nAJbA80QAuyvQyuSsJe4nYTCluDlzv5EvgYEjxIUzsjGeriQhxoFD+lHlgHmz6WEsc7fb/H3odJPpRbMyT5WK3SDbjPR4Ayt9cRondbK7ubr4Mr3y+Q29MYhrjoG9rDYzRsdefNn+J43O0K7/bPT9pVbDR3X5iUXSz27F7xkQnvuCjqyF1FnbMY7j4+T9EKOk3kHn2SHftpGk/IC1fTPd84JmQBnJ5W8lENj9zMD2IuNTI4oIL9sXqrbxOl63irBWUl7QS2O1Sx4nYCb6mhjFLNbeDWXAlpJk+tdm1SatqH0eon7+XxGvir2FDO41LvZRwTQcJGryBSCjDfvLbI4y+TZdg/qDCKyYSGPdDY1YfhoebPG3uBVSkfPZtK1AuuzkNnPYgLc0mGcilr1/w4H/jHL9wFU013JqNOk8XnNCAEbot67LjjF+8bKmCNfuGl4us5Fz9wdG/5PPJeMnWi4/Ih+NqCsRbdCKYN9RP966nv3sA35uKpN2l/bzR7XxznLKGsSWFsd7++qMaRN8KNHxBo+eSnSNqZdjoWRBlbTv/t6uONQbXT1ErjYuqQ5/UQLQp3TVIGfqIReImaKwizCLOql26Y+zPmTF1J+WwI7mT86RsI9JIeL/g4vpg39Gczda8DId3ugvJNCF3+wK8WvfkHHbVXpsS2qkKgo1lx6NGZxEf7EoQ8FlMuU5zTUVCiiBfeoDeKrMlK8TUxRNFwZVCjsZzwsjsf2ePnA0VjGEYRL19PIXfVvBgouL8MvkRyLV9CeOFz/AjJlMXfGnEiKWT5Y7D9pUmuzkAiD8oASYtjit5H+wI1T4bTR0+diSHERTo59zWN4dCVDZfbiKEaLwc7RxtfXhNfmZ+zMUA0503lfp7J8b9/Pq/vIMcI6zxZZtU6fhNVlXjXKbxgX2JWwF8aDt1kA955uvCahXsDR49a5n21MxxqamEedOiEwcEXlRSxSbtURs1tMQvjTsJS4f4Lc77ZlImoBZZSBoM8T9PYM/g4t2VzwYXTLt6ctr3cP7Ib4W3MxDtoK8TqSAoWsOqMz433tpxCVZVUn9RkUYOqJliRodqqiqx6Xg2MQhq5SqVqdYpocT/XzFZLykw7HKEpkObRvFkD2RJplnwJF7g3nSBCdg+d0oSSCw8b+0mCtHMUnfrWFM1AU5PgUg5z/saFD/MPKSw+mEd12Z+1WYKs4EDpaL2W25spMtZTWQ4R751st/UF80h+YNck1uDIIMPzeJ3tZ/Y8f4XnGN7GLzzxQxP/KC0+xNoDEc/GA2m4GnXdKemP8WSGNgSLK+t3tEZJjDDSRPkHjDdYYp+xkOYLuSrtW79IiG66xm6Epk0uxhPE0Il1opq9NZSj6eCYc9EGQw4Tbya4JDsYylgwQ2H2WGbWkbhLcoMs76NR8eKTVRaXuTv5r0aXZjgvNMT3nw1BZhSRkfzhxqYvJQEy8iKrCBB+JuBgojOASmFD8SMnmRwD5wr+0DmJnAg2rBstxbA9y80RDCbAxhleXTV8sdca9CQVJbq2KPHvwITvyTvxVUSjv4FtN1qF0yHff+LrmI6t7yZXv1f/Mwp8EohksDXrTMcM5iM7vf8TkrPOkhjaC0GksMr8kng95l1oZ/XlgQh8b30+QGogJK5gVoyYScrfgVV/hvNj7rPxBxttExlhlXzTOrkDThCfAO6A1n9MvgDVPO8N3U6PYXyWxtpp3NBOnGHz2Y8wdidVXsg8HqkP+vY24tPRFi2pCuqOhi/+9CrH5zulWaqzvf1UJfzidNvEsc+PhWqMhtVNnQfOaUqKUuvOsXmOzbo9VZjVAaSoAQcw/Oa5Z8cnNh835sf6WKcOoRB9wmwcejm7+5Zm6NNAHNrhbpLUI9i8grw8cPk+q3qNGbkMGMCdY8JOWT9zLruOnMkEjy/iLS9LTzhPQTOBy9QtIWIikl8BrCRgRTOR31vSPXLkDnkviL/HE5SPgi23IuPmB1DVFijcFUCvj6nb0d8jyYkKRD/9Ky+x9Wf0mlaotq0Oq3NxOlaJHyJvtHfByfN7fPldqNZzBXt6HysUISOfC2EDvb1E1p1moqsu+ST1li+PeXZAFMMM9DN79/ooeYAVCws5g1rKiQ9rafoWYC90aJiBgX6XmIodvHyTxKuB8QAsq80FIQUu5bQD01Nm5BvZqknk6tyU2gJuUZtSfrQZ7tPGAZ6ZRjK2iBFnwrGPG9gpswgWga/oNJllacihDY57pGNUwasLWG1UhAazObK7T0dXuD+dxIBL/MwzcVHWYDdNtEfj7ZY0mIWDyJeMSLhIzIHTa9P+q3JlFGdlIkM+6LDxK/2MX4ZmKPFU2W3XAO/LRSkke/Al31eWlaWViZAN/KT6Kgme7CftonDItd+FAJCl6hEFSPjXb732F9DPqUevHsnBy5NAqd2mGpYPjnpQbN9uIVf2P/mTZT+SO6NLXKdrZPQ0FMTTMpJTuYOuQ32YygKW8VDxkWZHeeSSCt7vMab9OV4mMGdheHnMEOxCoO3P4ZKTX6qFLT7i/Ys/VpnPlClXex4z9+zrBmUINKjme8UfcYT4uEpWr7PH+ECj7rQtW14dr9siDgtepCnfActkdoaZ8xGy4mRqNxImLrk+VldqPUbfxWMClJtQxxs8YcUvEg7RtwcyOxF/pJIxTdfNhPwBknjzPlqy7n8fyM5wR5krxR18RVZSn3324gsONR6vS0OY55vrpzOnF9S25amFcG/Ta1Ilc/9YM3PTTeSPUf95/Qv+/ue/2IvO8PBmkz09g/gAjZiHH9jLgeHAngdUE4q/7BLXIQ8J2RzAPvlCNk869/LTeAun1HQ92hgNwgZbXgAKFjS4OnDg3eEtjroIwEDsSCIhhIWz5U3RdKL3K507zH3wn4WyeaXT8lm50XsRSApxGLLUFWdCgQUcpdEvl1ywS95at1lknyZMZAH8PGOA0nifu9yiM41U1t9BeEw/aSmxdM2bRAY/al/9WO+cjSMedTV4KJKTOvbZ3Tw2kYZFdkaF24nrsRCuIHsn8S/ppSxqgbHoVnxA1+XHVCyJpScyQuoFZthHSHjV408qcvxhU/xcrV1vDx83to27RuSJtjkbxggWscpnA1hbG1GzkPvXHxh+kwjdwjkw8UBVFIFkIskRPv0p8OtKo1rJqhhU0apSTldU8smAKkwiHZkAp+tg0MBSn6roYknWt5P00SMpr8oURVJ51lqs46J1T4I4XbdLzr7SY0w4gTyrQ9YEwHVL3ljY+fvSgeL8SW/Nm98DLHbUuUaeiCBcPLzIH1S6pl0uzSUZUIGurgijat3bDR/zGmpiCsvaj7+YW+ptonjti00IoPndpW9cBRNhm0Zz3aNV16cQyhoQ71ABltdpuFceg0aXouOIq4A1pDjpHp9qbbbKemec/uSA4GzAiMC0hJDBE40n0FcZQhY/JW7Tz1sEn/4gGURCA/V/CgnNFyfeHAJlvPIpmwiAOWGpR07Uuyv1NHu0DGmoeeupCvhREtYBawAYeOPmISa4vLEFnQyV1Pyc/uh8PAUN9cgJ9fbCbVhDPRlRm68aHsai/LVP1KaRo3XDsAW43FxgURbcWGmaKGUkteVGjcNgfaWokHcseb75LiE12F9pHjYcZyN2txJ5XGc4SKEj7dHcyOpJC1prGnHXiBHzBDMrTJc0lPcUJN/htGIKY+KZYTW501LnycEm5k48Ap3iyZ3uBmj0M8RWppJB3D9QuY9UN5NnajBdSsrF6HHmN63P0CHm6fahE6lqAZW6u4ywu1F0cpQBr2cmBE/lDjAZ4HNkUcYeG6tFjlC4E7WVfTYz95ipq4dMZVyoMakFOwzArx2T31IuF6v3GIRmkVaQ4P37khSZ4lMPWj6/UOMpeUgO11U2LcuqHhzIhWlhE8c5MbJHQMOZwlb4DuLtYm8Xp6s62+PreviouxsXNFyYCyIxb97NZdNGon9MHQXEJ3e2n2xq6FlbePP1OQu498fy+fjUYK11NjvvTD806fOD1nKLgzgJiB07Y/iGc3yYKMqr+gT1Pu7uj+d8AeTlZ5M370zUj5Vro96wPUOAXgvgtJsLF+MqxA3mTJiLFVN3ACyEGtOopF3X6aOw3Zq3F06NttwB8rLNHD/8rAPczURdPxRXp+qZ52IhuzN4AnQDRKcDsCZpJ+Ojzh/oAvyaG+gVUEBDAfCphDn9X/4M+aKy4msQqm2+e2NzLnuT+fQZhmVD+9XA/dUBQtI0+omYzrEfUPkFx491xFlhZZQM41sV4mM994IzorM5v8KK8rgOwH3StrDs+fdH+NgS1gtaSy2/sTOxh8Sy+ZbTFCEJu7i3gG9fqbEsMciqttp2ESvceFa7sksHkqh9bHHiwzEOFO5/bXawvB1BepGeS67nSSnSwGykvoA9ZiOOXW3WBWWECadqXnA3oUiQvss0ItAx3eArVtamcl0s3/hzn9SG8gh8E964eBuHcTdoUjb/nzY/l5hUKfrcl+usCTq+cnZOTWHVgOxK+Gh71fW4Frr4R6AlBcvPMVxH/8J6nhNNdY5G9Uw0Jpx7LM3rCalZBItInwhpx5EA3zE/CjNGf/QpXgyRmkVM9YIyNEZEC7V98CB6aDP6iY/uGR/Lxo9FN60dD4PUXa5ESztMgQYISzyNlRQaOv80FSlyesQX0MwUHfsB3mIRjqM7R1Xfqid/Khm8/BFg8dKrx82tVFKqiOopRSWTpYS5mipQhZHnlkdSFUvD3zczNVCNKI8/5coolUf9bDLEHwF3a5otqXr3YTOFxxwMYseBpHNc4EMMyn/3ZeBW9h5EITA6i/2W2tf1eDD06ZUXFK1shkPr+sYemlqpU4ftn0AsyIO5G7mT0ll+ypcukDRCUd8OoGgItKcy3gUOr1Y7YbkJB88MwzYPbpucn9FE5fuxZzQzzCfuh4KbVArp+YUbDMdTwF54TKymxjRR8ZKor/mwSYi9nhH97FB41BLJPSKP1cQLZlrDUEw3HJLgcfFyL7E2DgjvonVdzxzZ0pvA8FHC+UaGkVJrN5yU2efvPCcieHS8XyELsCq04EyaFe/mzTNNJ5BCc+rg9BQGFQP5jeUZfdi3aI58e7BGqAqCZixXESkIXM02xjtJUQSMGrkx82XFcPtGdTRSklM33dpTjYDzTqGs7tl4LmaYfVoHFI/cp6Mzpige2tUnHoe5zynS8MIcy4FKZVtN+89fCrBLVcTmCcaEpWS+ZEJXCmEANrI1wRARKiPlVDW9VuOczuSlr+BiP/tOKcyGm+eNQd0vppfAG7KF05/duoLiPb74K1XRtUvr5KoTtLGl4nzbTJNW3MeUsdkAkEWVefuWKdrTKZZh+1gaOOpLpLny5m8fL2T1E09laQR3Rtmba9jilBFXRTztMaOSETaAw7YPfKTxNEwlRQK2h9xOU1P/11X8e9cNS+QmbRVDaf8Z1a2bhJgWtiClVyGSU0UdXybNgo/CrhDQ+4lxnPoanX9T9/YOQsWCv5DJQs1RngbSMcnGAabW4dKpVoC8KgQhQNIlA1iU0WupSPvVXn/KM63VSRZN+f36jnW1KzKza+caatVC/Jdsu1iI2ye3opB/Uc+H6rvuNxpPaPdZ89b5tXpOtr4wxJXxPZWc1ig15xmOP5GgqhXwiPZSk+CaqVBg82J6bsRPeILhLJxN7NU6BVf1OI6HdhxEX8J16EUmLp0yFR78i60cbhoac89l3/PMoUoy6wxSnooqSm7wjDwbixBlbaEe8lnZrPLYooCMVfQVUW8RbZ0KsWjYDrrruhp9+bw0VjN2IWRPIAK5kCFrl8K7wNT6lkx8yQOV4Vk/+0C+aB/XoKw8cxbZ6PoDPG6rYzQzdv+jFrLvGCuBFx+1cqvHj3nWIe5vyaN+D0PNphxDSXb1exB6NhMGjjX+nEqkT+GYBoVHTdbYKLUjXJT7Tu79AX9BI6X+j7CloDHbI6TEfV5JmYd35OvqxJEwRjSJdbU4GvjoKsMFS6yMCIKkWAZ7DytUgYCTlomZBRRJobIMJipDCp+u2jzG9AEg72Ci7cGBcEXaOxJOEJWmL6loeAvzz/pwycQlunFM0XQ7oxyJioNHl8JtgYto7iK9NHLcEGeN+v4vwE+HaHvJjaDoYqC4mHVPt9i7B2G+jlOe3rBslhB/94ewsXpDBo6CYEIY/8WZGQhrMxmrQuQfYULdQWv49GuB7wLa4tjC/CPu0CbC2GnPV3U1zejFA8K+eMNVIA6LAl41SUZUKC3MXM7CizIOaU91Uax12iMwQlgYtL31Aj9NR4plmB+LsbNof2v0nf7jDuLCU664gmWYp608hKVSOPXfcXlS+sJVxIVaX1bCEPXbZyuIs/mdYcwEmqWT+PgINxGCjj++J5BFd/RwkiT6V1jyxRTIUmYQS2upLYsWwvPkaJJ5CwuS9sRnn76MjAKiwULq96GCOwE199F7LrQJGpsVebi2cXIEPaCfILM2a/7T0cR00veVyvM0bkJCbRPmp5pq7+R8yLUoPe802npnvNwsMF9/RxIp3DBcFa9xZmlpB2OcY1L7ZLKV6twS06p1l8VquYCgo1GnjJ9Xzz+MO19cTTvflUpxFZs+tItkNwhEbNMXTq5t85rVxdxlAepCz2M8RIGFAam6UNtnUWVZEkotin3msvbOrOk9Mu+5nQF8RkVGgNBHUdPJTWo8QcjO5Jnmay2D2if7+xO97FkT8U5LrrIep0c20BQnI0twBrFimGro3VsCaTjsZFEV74eZTvpdtvT7QSiNQKEIiuSLZ0u4XFF+Utvx2N7oOzxDixxt34Dl0cOjOMUgtQmQxinotC+TxXwgTRezpcBtG5Al1SWYRe0R/KzfAlfjcNZr3rCVWPneJES0Uc+2YkeD2OR4g2mw+cr0hxegO6CwuQDX9+J+tCCWk2SOogx0Dx0o4QyQjzWe5W/yZR+Iui+LxHJbI7DQsq/zDYQtFfQe2tpuQwnLlwSL2NXfEe+j2DyfPUBaQk0PNu/AqunNHO1rTXp9pFnUYz9c5qkWmm+eSYbBOF9hbgdpkl9JmtSV0mQCgI/XirOiVyjuSlYpcceBNgQKA/Xv2dpzzYkc+u2UXIrr07WYm1ubT3CFoY8bpYwLpLAzYyJHz6TsHwiUv21mk8Ytx49kkWKNFE5S3pwMnCz9kYnmFZYIGvu1nJMnRmru/q9zam2c7K6AFs+Fc+X7AAN12y9TM6+biaFB9mFrmlUZ2O0wCcsbKkmViMXC809OJunKe3qUTE7MfrS3AWRWD+CgWqApySxOhgZj7UcagyULRc2ZdIBKOCobzUzyX0gU6a81XkcSuNQ4Ui/qCaQGoqELw+MAV+Epj7O7pTaViv4xLFr3GL5sErMPrHddGEcCvVNpQyZrBGe9uDUIfkL3EoaFHYijLuXWeGD5JDlPtuI8frqZQZYhQLBfyGU3lzf8352oga4s41IoZ6twVXcl2u2OZ+7e5gGyxEWOberIslW6oMxBVnF5Jxa9nNl/qXXFJqA60KuzdZIvh7gT3aj2KDVem5b2WVKrYtdJ5035soURx/oUb/pzMXJgGn5FlX3FNbJhnbE72UTxAW/EVx+KfGwy54srfcN0rJlLA3/kSrjR0rAAu7bjV+exYaj/oa3BfJjNRWekyJfAJqZFto58uM+quz7gAl/k1+XCVXfBR7y74l23HDus2sOoXwbFGCTAsn73UO46cMG7UujWaocjssG78jv//M+eXwz/zti4ffXN5/Bc5/F7/uhFrz/8t77f/Jdd+vw3qbdQXFyw+j/vE91aoObJ3neTUlFLT2dQmNiwdNP6hmwlo40z+/CbFR/LH3BBFJUbXXnM/9KBuU4g0N8Vi7Cl04V4XlV4WAqn8M6SYkPpdtPHpuI07kb92qNfFq8IrK20zFesbndvd3fb3T6X/nmJY1GynNEKwPbZ8IXbECFD1jOiDId7pPWjR853t4f/pO0YnlfucQ9Px2JKHBuwElVS7uFp2NtVZ21wuAr5Om99f5On5+2Ckxp8C99y3GIcLlbZxK6QhFbdISWV6pHLxPPI+qKKQSOivXUn//wa1fzom+z5dPqcIBo9c8jEE7MjTad0mLSeFh6zIMXik3GJhu2IgMeABbHaX9WGwDPf6uuv+Yc1LpKFtFn/LhibJ8bgix/7lVHzRTcu++ffiYUO5kqMWFw44ntXHrqUr/TROx8Uw+hPkZTNFP1ON5QY0r8bW9KUmUv1FQWkX+c4Gbh86cpCVaIMwN0PAs93vJ38z7M3ok1HnpXGpssF9+YorGnnjfWwANtj/GsOp/fjLxBsvBpUl1ol8Np7nagx/AnfgSMPeLRVaORmtJjFP8M4OztInYkFL3uWSwVJypO/pg9qxYf230aHLt6dMpJEzNHypVPW0jCPuxhmdpmAuV42zP6yKctBwsSr/v8JdyekxOfWNbMl/ie3YI/H+M0hy1A65UfOv0tmH3Sb0RytYGqPiRD96DpkzyuBI/FG9WMlW8XolxO0trGxaQ2Hrels+irKfLzkCIGzTMLmbB+03f77Lsqj8YORIDQH9v0+DIgp2L0Cu6FksG31g02yB8dBi6pgKrK/9HlGh1jEPEr2OLc/PiqQ9pk19f/extu02VUv9Lql/wNoWS/IR3qlawyApxGv2J5RzFaCKiYCkCEsFVlkJ3FoXZAt537ObYbpFto02EVhCAG48KzWZ7GNmAptUGi6JVGvSJtMp79DmNyJu4/D4NMpsaNjao2y6DouuK4Xwz3Vte/ko4n3220LnARJLgte3HkS0S7KyORog0O/tJkbQEoqo3zmNxIHxkI9m6mMh7johbdM7E+QTXeDsK4LpGP/V4bAiuKrXrQ/0xgWpEJcxmLaHHGO7gWZBcYbe4b10bn7lLlJZ+4uTNhp2A41yCww09SZaHdo0imFmrFs2SDcYLm6wTqqqgjtTCaMmbMQzoKBdFNzHjNrW1SUMHPsie0eFdCLouXasIxD7zROphQ0MOWkmfLQpZ1dNWWUXSVI1sAu7BgVhns6t75YnXL46yOX6FOAENJauo2E3au7fUKTOM2bae7Bo0KXTp2+cWV6YWu07/QdiiKfI+q1VpFp8m4mZzrZLIUmFvCQxV3hzLsuoxLyitDaS8aS6phHtYO5PoC+0jHbl3Lewg887Jyklk6n2ElV9Es9ygpbBdvEmTTLMIsNg4ZFXPmKKFS3uiY1PVa57tnW+GKx5FcZ3y3aBcAWQp1yRT0tSg4qIMqpQSe3C6+pobXDXzojbMttO6kCvCYgd2ylbVbXl+jCHSCYW2AyW+XJ8Q5EEyzRKf/MchxQNnx8Odt1Keyd04srn0eWn8xjibHJTsFXU78q5dAzxqz5SV8knAbhTSjHMuHUOlyzLfJJqOHXi1XeT1Pwq0ClUbjtElntJpKtBOm+0GiqwTle+cYLxDLdcM2yCiUir06s//k22FAVW8+k1zy4xOW/JVY9xV+g8UwoU96taT0oXEGkaVFPaYnHVRQFFRArtkRgu1DHaU/rB9Xz7RcgqEsDqYyS5WE156FWzF7ZgFWc1xpezGa7veu8y0x9Yukrh1XS4hbJxNQmUSiFs+tGKc6ynsWtEn55FSgnLZz5tl3prTYw2wZJLxpxpKs4KW4Xtk1qra9KnFzsNkMqemWCjAVR2d5hfsdUYay4DKbFBokmYA2xeeuf190K7Zb7lE1cF8J1N0adDdBJj/LVpyTJpZsFpeTAwfbVhVMC2a4Bac/ybQlm7k/mCTxJL58TnOG+JIgeumegK7aODJFukPOyWD1Ja1Q02ziSVIDHQIGoJ6XMzuIb+zg5lJ93rEc8sWp6gBZ5yecayERZgPTawpaGu3yiHmiTeTfYDnKt4xrKpx1BdcIcFK7L6GB70PBOkxJp1cGcXoBkmcsVL++c3BQiJYOlQIR2u8wIZZ7lPimULq3T+GmoZe7oUYDcOeT00JvYSPGJDWSzJXg1G11NlTpwIQclWcedu3AS5wYNT96LE4hFMOUo36ad5DL2860pL/hjlfXACWK88o4Bw5QBC7w3Y6x1UeUzXM3pg7Hu+trRYsZemo2XTwEONZRy019fEvuAonB9rs+4mV7obVqdCq0Va3OC75CDQjHZTmclPahvnA6d2R6ML5dks4GdM62TklBf9c3NbZLl3e0jLNlwiJYct3OTmImJuEY52TLSmKApRdUs34WZg9bbjZoDoTmp3koO7BG7jWW8jJ6IsPGO+R78KDhkcKcHKnFu4qtXaIwntdNjs+EAOar+naom7kPIILcrTJ3syLuK4ocqk9s9p1ASBuIepKNDQWTo0b+obCM58n7v+dWQ+O7XgeCMIrN6FPMi7YACK5TFX4PM6dAtN457ySRFoWgFbhMpPCaNx1zoTSXhbdOCxgeq8i19ctMrHQQF6Zv6qTy+7b/KMntG8FG/BL0PnxNpWsywYnxnnj1FNeyDgfjhuw/SB0WOlfZoAlL6xMMvug1Kk+b09hroY9BPWUPfj/4T3SjvW6NNVIJ0zHjsm4QhebfREn1TfJ96tDOL9GLWZ/8L7OHTnr0eQgILhhOEdIbBuimfP4C7h1EAPPnJLPxKBXnQ92TajF6zwXHkkNBtbD2QJtN6gHjYGYG6OWsc/Hhf6FF9F4o8+4QHvNnaho0hKHHtThNe46uYcEOYZJZEyD22ns8whUM1P1pNPTZ7PWnf2ypA8mTgyC2/0BW8sII1ti2vNUwQ5VdF2A4Ra4b1Dnmn9uaZK4giiFxK/uteo8poD71UxigU4Kp0Chi97jGvL8PKzrH6tvSolVj8PrE6nKwbit480lCe10MKpxxEZKwqoCSPcIGH5ZFAyS4radeXfqicbWJ493wGdSMYlYjkL7FubzNuASsjZZhfxA79EfX+mOKigqxt99nHcI2/YpMnhvW48bcn9TBTolO6NQnMZiGqenPn2qgjWiyw2UDKsK5Lq62vNi8koqqc4akIgUdzQukl8heXeRNSnSAmPXKjRhVsks7kR50/8Klb+CPIIHZyxzbUbCCiqthCbDmi/TPGdXX3dcI4/aG84C7T24YnDiqCSX5y3MhgaSY+nQeJmsUr9ZJm4RyXhSXVIadw+weOSlD2Pxf1wskq35HfzPZmGNrKP6aQytfHIBk4gE6LkKdFfoLSv5wr9lZwsxuLdCuw4LLlfAB+4sijDM0ObR6kg60NwmG9ducZmWqX+lV6K5XSlO09bfj0hXCBQknSVx3wE/6UxDq7EC8L0aF+Hs7tozYgcoxFM8pSqFxSlNT7z5Hdn9UnbFRr3HB8f9i9wEwsY5KafdwdXE/pufvU8NP/BHf04plqo6cDPdZMPjvqTxBqPG+jnz+HqAgW6FkXT5WDa0Ounk3egilsUvx8ZtfjKc6QjyAYtAaeCO8bRrvh4F9Js8h4iSmu8jdsSBN6soTkJWjNCoeQesK7ECLdcPCvexWWDWVI/8kmkoTDYhyS36ucmVDJNhz8kRHBa5tKYfSdkCHvSK9nRYemmchERizUbfZZgLEBmsR3Rrg94/ja0SqsOgddF2HWnULbjL3y26M/8ekewYU51cXQSXfhx2V0C3LBj0zx60ajpMmBIR1AOWC/WnJvOaSnibqfFs/ck5T+UzHr9kj06j3Mfm/3RwxhF68sf3FZ1szpb64HiTghXzlM9qvjbxL3UGhSW+RY9NXcRdntFvRN8HFIURlFFvoNYikp5B1k5aVms21k39nB+6wsSy1u5ifpkAGcKhr6Jbnr38ewJSKRya64F/tAhdHcmeu0+hn58D/jh5gKzYTU2861hBZItSTzSu1zh9D/0scJ/+sRVZ2uKHGSQ/TP1D3lCMYa5/pguBE7QSgW4w4VouqBz+EpZMefdtSTEV7e232Ner9KCqbUfMWMtCrHg76MCQ6BXmq+FMbIXMD6ZWw96Snk+C9OdIVA4WOoX1QBeekSXHq28zcSAbLmk1ZyPIXJJEIU/0TeesjoM8md8cvVRXFuCUiYfaYca4Q/UF4Ed0HG85PKFw/Ge3pl7nWL+tgi9fcIJaachD0vIqQu+yKcdD2NUBfDqT99aX/LIftVCqMlJVOV32MaC5P9UhfRmJ+eK+AiTA/kGVArwe7IYy8Vq8t2XNJEnpPcHWVqWWo5+o4JKD8R+7KwzVGI7CJonXOC9lc2s/OIlk7IywWNdNtqE4dbxeXB3fpJ1jjrABXh40hjqApVTkAC4HPZpbv8EbcoLeh9yk/V/WqegqPjSUw/LY0dCc0vOk6lqL/6mKh9OYomNeyZJrg0Jbu1tt10gHMzbgXd8yswEOuBvyeYYgl8KKgQGU5aNzSsGTq3kotOp51M1VOjalkKjwlUe7/OUS1T2WMskztNJW7nFWV39iEdMi7yBansBl1qYOtXTnW/jI50QqK5mo9K4UoXUU7UVL68fBrYRbw4Z7PXyxMfZh0OpjU8RPMO8vbVPKq/L1DmzAd5o4e7+SDvdMTcHaxuvw+Ox33bf/fhvB/30+nVyKuWxkU8MEK+TpVlecp50ti9j7JjVVDh0SYnbE1QxAsJOVpSzfaAKrifxOZK4rWxQ324oFZpriGjlrtqrjHYq6+6UQiPJz9cl2G0sCapqtnf0+tc4l9gd5FtiiQekqh6+PW49iDhq8btwX34BV1WR/yvzCNKzPBOj6rJ/acf/8PkU6+vUHXqeUn1/hRFiRDNP5eyfuLDaoRMvPpkvXDl1clPVXSpyvx2RGqwuaZSjMIxHPFgcTSTSI6CmfYzJextwdyjk7c/11pXr0P6Q6tLzZtnl8Qa32rRR/mvzjbKE1FpfjaEQ9QR5UOWJ5Uv4eACX/8ABaRXwd8rwnCxF3k0xwD3Km5xWwEa3u15oXS00XYIv/iEE8aTn3RfcNtuFxLtI+eIeat1Sj0ynteCwHAeIEux32hx2NdghvPlMzwyJSyhcT1t9yvb8w7Xu61pOw4U2NYOcD9R3m3Pbop9zb+EdVYKF6BiTvC2vJEYuvFRHp5iS3mNzrShK2AMkQ3PKGR+CQ4tGILzDAeXnERfLwTYutOh9kEZ4pN+iPFxgrmc6IvbaUtXbWNqOyprAEXMZi5o5G1wHNfANWvxIsakE4fEWIOnCSNMqBE3LIvil8oVwkCJ5O9gpLpY9aTHKXmp1X1lF25+JqaopfEEZo8zy7kpQy0dQCCw23aaub8w6zdHWI7dMX1WGNJHefJxnn2SF5/m9YvS1iDdw7UTCOPnEBTvCJTQRvtO/jh4kBZ/la63Kfcw+pDL42Y++PfKcEFjgLimCQINa0ZAoGGdnS109i21zRw3RrUrsWcrgwFewyelrxVbttp84wkBQ/nsMOsTql4Zemu/tcUMHXe9idGXTQ6VbTlrXP/eLXMDGUSL6Vk8qnKQUlksEys9LIFq69q2pXpJmwP+ri12/3+kweZ9BsBvspW6js5cdS/pTSp/uFTzCgHsAGH1nv5DDMDXM9aA2pDh1Un4dVlmEs0VNueqschod2eP6p+686G75fkzVAAbeQ6fZC0eBqk6l4o59YzlhUu7wF4AChv1VTkMzT+ZlmwQ8ftgXC84jnj1XmVZWR5Wfr9G7xtwD3SpM9b+FR7NZGK/FH/pYkE161anBlwnYGjW/k0Vy14rqG8AGP3SkegF9eJTM3YIXwFOHF8rqD8AMPrlW9O3/rQvzP867vLNU7v++P48fDs6NH/CRYnvKVSk/HBi51TJnrCcFBKJVJ+0rusO81VzzOpujvLVU3ePGiZ+ZkmN93GJuKAmVUTp5uhKBgTDhcxO9dyVMnUPQ7Ax0LuP7hU2nzXkZUNKqNPyUXNbsiRtDNnuOg8lD/nXBPxomYPUaj5m/8xVyOm+lNm8n46IT7KCr6d+D6JmXaRJp+hT/qwoYzvUlu91VMekCoXTWCtcfn91X/qgtQi87Ueepsc/5rsosITBr9dc0eC033k3RMlzUhyWTPDv9kAvqdDEfbCkGlyn+INHP+RhSHdavMmxwXUrmxbOODgX+r2T4m1IdV2+DZGRMgN1JPJtL4fBJn1I6pGb8gtYL6KFjJoRZ/1Y4agFLn3XHGvgtBrk7FSj/aPlhz9fhh8/McPZ3CdTVX/PtjIMc9O/GGV9OqyRT/7x+trujizNbs8rcZpDP1lxY0s5h5ChUfVZcCkikukKtiXfUKtDhiH0GKYBkeqTZlOW1Af/7MdT71Y/ybNggevl6kEPz1/eBOjVDzJPsdZ1T7wt6T5GKe1yRArX/xLSX189FzGs/vQihleiyKgzfd1fNqL7s2MOY/xX53dfml6asKZwnY4jzQDcZd/gnanEMjluhPWGWGiRcw4Z8szLUzf10Cj4gpsHEyQUyqW8krwYyRPkMV+vjAptG0p50rbDz7HmaBlw/aPmrNJEz7VOuIvvkJex19jzZyddaluGieU2kbuWfY8v/KQxGYmmwIUuU4Tmn28XycUK3wgsYMae02VPaMqZpKlSTJpW1qAPI6a8xvj5n3qvsSnIfxIAXjPjduAgCooaKlRguhYRnEX130qUx5csTGwsKMbcQCeGm59ySzc79rPUn0317jErc+DT/YTs4/wzKeVYPGM0ntLHMHFABouCPck8GKPOCrxNZ+Mw6a2UIPU3RP0oetlehC4Ooo6EuHne5VNONNgneIrdRRzry2ozcLUOPhVUqhtPa5ZqLdB8HN2nBuPahobEKgbqGxL7nLwlXtYZUTQYib1N5RII7osKSxaSp8ZXFX6ntoAYYRhOXPVY000tf8PUVnqVP8urFyBM5uPmH1VEpY8/ofS4BGgL5ZDTOpRyyQJ2OMxHwUQeiyjl6MrukbvbAs3zPZMgpBjswDoIL7lDLN5M/4R0C1t7Y997dpMn0BxWFF8pfGiWI0yUshFBwxqK4eq1Y0yCVWhA+ckIsZ8g/OFz0eUQY7cQAaccHTY61nSlYSb/K3vUm/ub/psAwkGoKMZZOWzkfzqRelNhQpAo54FbboG2RKK+5DVnvkJKVd/nZxdsorvnE2ePRkIepLa9G6g2X01yTB7nNGd6tnDfrFBqWRgtdk/PFajIkLtrU9gs9S0AUGfqrT0qOh8Lvf3RtWd3tde7Ts9vP3TeEmbq7r76DW9jxbDWSquH1yN5Ffy+JAPvxACsE+KtJ71TAI2AxTvUyV6ls9M30AliGp1Q4TLr0jaRMEOkE09OpHEE8SE4KLq3UUQwkFNsr4TAIXzVLpKGQInQCotFkRIeXF+CX4W3FGOVV+kv1gnSZgJVHeyEZdRm78YTPBZQhbKqSPVQS354Gj2eMlO0gs4Z1axTxA5YpqxKqv8gtPRVO9PrlTEqZfBhhmbLBqOKB1kl6c6YRXI8VsNYrcjsIWE2lT+KMxhQrFiCInRAIqQVZ1J0fEqbiwHOXyXIXvXKOyV+4Rl2Qgepda7d/7HO4JwhB8nDKY+LY8CaRVWFRIl7nk8c6asPZLcDqimu0/LOhuoFkjGR3/cekQtO7Q/NsBj+j3X4IX1Qxp6YpgOWqZI8mUloVJbBSMOr4twfX93XPnekTPR1jOsvr5sSXVnMsIxY7S68A8CY01SwF4+YGUWQh8RVTnQNmEQT64HV7LaHKobYr8dJLj8OerPI/drHex3fj8dkq6vNeiu6AfFg6Vj4S3wQPw9en5uXv6yTwOvK8FaxCCX0BHB3lTxjdmROlvprsRXJjZnyUjxy8SXAsDb+hK+4E8gdzHvaLP4FLq2egAemdpWt4yu7wULvCVfKp6ZoK8sc1XmngCJx2bpYgvGEsP6WfFm/i0Fu/vhFGcOuHg+/Te47zAzS3KpjsLQO02XSYZlyVKYdl5mNdFW/PtacjolIArM+/2I5IcMC5xhhFQ4g+dujpFoAYP75NNL1B0ub22iAx+JDE6J8OuxftaPy7bj8tLPbh6N+FHrcSr88jsYROeYrB0iX6w1Go2sIf2zEi9m2ZDAGbD5X1OLCWFm9N2+pG6x0t9Gi9zNX8YSRNtGy4U/4NmePRQpi+D26apbGAt8G9YGdPvFEz0lZq1HuFvCRcQ1h8N9LHQ2+jEDphQWq5kI1icnk0fYv3+bCl68/RuS5uixZBdjTqkUFjmvwMhc3EASFHJWERJxUhMUlx6eWSEmipIiWJkamBSDOAJRxOEOQkSiB8ARjNVNSCUmfbOyDX/4axBlKC4YBzT7o+MBMg31G8kOdLIbw0MEsuQePpKBwSp1FI141yWyP7hS/nmYXxRSWUYrfEWqxIbXiC/nXv5x8vZj6GytnEhpdYUyuSRpHq0enQ75g8Rh2CKOvLD1K6y5dT5F9D84z4LLGWpWdv6BjHvNXwObZ1z9HnMSTBRPZpwhhz2AdzD+C8fGTAcFUN+qzell9VceP+j6zzZVBC5Wy1R2XHbicY4/L+sGDL5Hp6gZV/XHehVANCd2lYkdx5a36q1d2OlBj2xf9cZldyLpaIwddBXfeBkfeBs98Bq98Be98B5/8jA+IBubtg1jh7dp5BZEgIVE8EQiCIFFS8fKzfD5XSKwlKijWnI8VEGuICgkFQr5GZJM+KjudtrOAJkTcze7cdmBJiJrotQbp2rUlQdt5oosn5xEEkplrW1Rw72ETxSb8H7APhA0B6luLF3aJY1e3v6OC1/Yzv92Chyu04wyjs/S5B0qW+HYRsik0B3xVBTzjwumc/syDzWGae3qP1uxra5TsRAgkjj5/W2JQK/OsU3bQVIFW5hX4QdM0PmX60sJP+IjNAKkUzTlLoalSHjqFh7bImO1iRZZde56LdZ7v1ifLAS5ZASgY0XLermc2k4+YYRb4SyRscmo0oAz5qHNy5ok5LbozX4rIf+4oeLnsK9ZoEIich4tiScn6DxZrh2hkErXfXT/9rbjQBoSfT08gmYOGwK53zKFS29KKiwRXayXckV5AwJ2cx39s1xZ4sZ6DyYE8rDLKhGflCc1LN3uyRXhVuMWr4ZhvXr0qXpo3gbG8JF7yeKcvB6fh7De4xUtxQLwTJV59l7SFBGO6ej9WZA9/DJB/9LMLaT8bhWj52xr1nY+4zUpkLkuGWkZkLI2LvbnuxPxcz4VvSWilW3vP8aypVlD7Kyay5zaCbEhSGDKlAPzb+X0keCTDBQqMX7HTaDYSrTNcb2DaWKD82lCmYaM4v+5LNS9xd3mgZWdOJ0ZMpJ5Z9fMV8dL6NhY6Iytm27ogf4Yvm9KPhDuJmuyt053fQOK3vZ6ju/WnQOdLT4HPl9P0Hqccpe1cAqKG0QkheFVoKyASEc0YeIdYqf4W0DIh6y7TGEVtKFB0jBtW9iBsGBmzpjsdbYk+coQTrgJyqNIPdSxt+pENQqywz04pvuuyw3LjIAXgmcKdrDmUu7p4eqd5gGObQZpD27fIiscmcgP3WiiCkktZuXY5qLgS1CyL7r6D1J2GYVL7dbeddD/eOK4koBLbJg7unVaIMhsnEU6udGeyNNSQapWsrcvEhC5KN/HYFeSXhDzsjOwOistC0U2qukJVNdRNbrrCVTXcTam6IlU10k2rumLVaGywv7FWPG7O9wXpJXJPg9dO512p+ccDoPiCnfH9rTDE7Ru5x0AA7j/t6EI9H2gWdoueoMtPZHvmUD0fggi98hbAtth/c5vx0klUKeCTRttqMDNhPL0Yc3jHGVoy0IvBnC4GiNI1ONZaQ+nZw1tnHxunx3VxRTpowpRo64Lhbl1x84RfcjJeAR+jusNEx9u++9lPCwKrnzbA5OUlWcxYsQSl4K/Eq0Wl6RC3sopoJ4VDfJtebmOkjQcc2GAqkv/FaZ7GOAOsbzJ60yF3x4rQPkdSlHHCXKEFKKoG2jd5v4s3Lg6ulYph+Y6UkNzU4dvK6bCWuiOjFSlGA+wbt2QcWV1Pz5nUidljbXZijszRVU4/6yDVstshcVyY4z5DeBg26+lbR7d9tqpBfg9OpD+KKDGOBSyM7GNIgY0Fpb0zBJtzsiX+ur8bGn57e8Dy5gyzEVj1bTsSusL78VY2JZyrX2pLIqkhdtEbZKI2BMsiOx3kWi5VG4JdxH1kBhDMMOwlDIa+9QbhE0KVKUlBJcVmfHpK8YFUFZemsNJ8zDDHtIshBIbFe50jxOpjIiNMVESJjjgxIpGY8fzav1OZ9brOkcHV3VbOP4A+/ZKk9eIKI+yTTpFnpNQ1a0lF6pqNPNYwWLePIVXlNIWV5rDTIhLt7LoHwLzVAbo9GeBeLnLXy8iG83qN2+jTyDIE9fR5FyZqNqFGPTA5G+23zyvsQ5TqcUKwLFJGxLKyexXXIsfbInFwOm/VE9BeOKFk9Fcn77bgY1uzD7YpeDzioWFG8RKcRT3nDTHOb5N1ZJtH1GjCfpQ1Pscm6tiM+2TYZL2CF57pmsmRZBaOTdQxylM2G0+nP3Wrr/89DH/tPCX/GSr9pOep6mlXzPEe8eu26+bhugxZjpOPPe4KxldaHbEHN4VNQuuQnYBG8nt+x3kSM4+N98BghHKzwYxnjyLY7E7jBw+rOt6KOsIjTgX2dOn/g0K1CSYFVgTGISZZwZ3u77AEi2uoeHYa9RHPIkI3OyGYLWuOnvLgMwCxhah1MxAZoIIDVohAKOTdLJcQ3Y86iD2N+BXza0R5M6uWNpR6TgjZJzFPUB1LNEk/JLx5UhwS3UiHNY/EecWRrpPMyDPEJaksT56S9Ge7Y7lbBM+9QfXk7yd2G7M/B6r9x4JvjlBPFbmQNDHlcZuRnvcTlvkzI2QrIxc1I2zRW+EVrG83iVL4GfrjrpKYUM/nAqOjp1TGK53+iEPy/BtcTwH5XJ7uLCPrIQjdJEFBk+ABlzkgaqM7g5EBK0QgFDKQCnWvYEs8QRC1RCYkZCtYjbyXeCHdl9tO2pjDXlDu76Ch7eAF5yBbi/Mcib2fML6dYIgaRkipAfTZNlg4Fzlg4FG/s9O16TaYnA/ys1FKtSJobn0F/ckeY/oD1f6FfMG3C3iop5K/SBZXLt2hfyhywMCbbgcutVSdT+yTPZ7bXKDbn6GgyfCAY4jWossjH0TZsdXPkDRMhRGiFqnAABUUkIIDVshAKlSgFDrUp4DFWJQ/585/rlx52ir3dgjpJ5ocqjT5GAfm9lyRdbXORaFVPqx+tl0cWi+u2GHPt/O1eBwKhHfmXvbvEI8iaFCdtYYn251lFFT7c8E3GeophqSJKY/bjPTczPQKVF8mfWKBMbSh25+hoIexD5aN7Gbfnnjsw+ThzQXd7nR7IuL36ZwqLbt/uacfbmffIMkMDdkKViPvZdkh3Q07iD2N6HwV5rixBqXu0wHdMUH1VSqsWS55StySfuvvC8H9PU9HB5eaReUyyLoSk/wfEh4meV/bIv4WiTkNW2HyJ+T/VTYgf/VLWLxaPZX/6+FBG8xPSK3NuNDJ4v7LYeQE9MaqU1lY7vF+kur3RaDP31L1cJDWRklnJ70qrPMTP9LFBGb3ZTeonEVhFv1ZnPX38GDQ5mbYNArL0L3jDUz9bu/RsCf09N81zAcTdkzZlP/aCrAnfQb9L8lxj7KGXdkNczL+HthJ5kqu+i/SAHvCR+xfiuPeuWjd4TkNDXY2SsOe/1RU+WCXFt7bn57uaOzCTj8wtgb5pW9T+BIFd9iT3Q3loycDAUPw4VIynC4danRcqWUsZkKCSUmmTX8qIVeSZMdnG7OwKRvOlw434HHD9jqeWPZB0A3M4D4Eog9p8ikqgtnQOIWR51Wzehw34FfxYQvBE+wLLXlB9a5hPhB8IvlGtwfEBRB9cONf8xJTFLO7KYX4NThrmE2Tn+Msb5722ScLvGF+zHQ0XwpSTPuk+iCoD4nsQ5v+7MemcUpen/D04Kg2bnkdi7STkClDDBuhDY40BblQBtma4jOzGZDk9iHUWbPvMrGy9sLYf7Sqzh30dHJmaU5CPQNTYtlfPoIHZFm3AhaeX9qee/HoQfVJgBqvYCNAzR9ty7RYDXyA/hxq+HGq4XOoISjsc+PgarOetFGpaTIfy27WcceTFgb6PARxCEE0xDpsyEssykyqpDE+TJygHsKRCSE58ARrMBkmIYzd5hwPhfTAhPRgbt+eXoMUdJACa02Utkel8o/MtWuK1LJG4dhtzqFSbMfo8A5I7jhjTLGM0WDhSGbIRFNsB3xMB2xrKblvIpWac6/Aqjx1//6OHUd+nMIkUKESnSqnnOupZ1E5i+P2RQAXodCZPSDyI+rab+J024kKPpu12Kw0nNOknfkkIpxtoE+fhPlZv4ZuH6O4aYBEseOoXUrAaV3UMx8unuOf7pCc/9rU7Xfdxl2xKzd91sJGClUunt6wasSqds9quA/v4fvBfAbt3e+W9OU3+oTX8SZ0C/RF7mi6cWli6NX5yNZBSu4SblqYSn9o6+rxrN0ST8V4DSYt/aapo+nGpamY38lZCVCdh9zNzObOcCpmQ3FkNrKTQ+mpP9TeMwezDcvymX92F33JHQ43LUqrz4PUJvShdsm29jxMa+6k2/lIq4HZ3BidOBQRlJFUUdTRdOPSxNCr8zn7g5TcJWQiVBJ0Mty0MCnw6hghH/LgPs6BEeh8zrmAMl4bK59zCauBH6EQ+LAEufuKgt9dAAw4H2kHurXJiaTcoQ6z/vBKqUAQrxjKml/vOC7t+7jb1SEmGrC+zn9UQoJNFFfgQZDHVyBKg3e8SidAoMbGlsmJw8kpIwFEra5p0HTt6aChfNq8xXbxOScdqy2xUYmofu5opOu3INLTru9ciqDa4uAkgOs6ymaILKk0ivhMt7EeWRKU4RryZVMAwgzCIUFKAFiFyovgLCwleasyQ/9dPK/vTdxX2LBRo3briBlkSluBF6VEMMdBIibp/qIXkMpvjQ3T6Ta7SbVpv0aqA4XpyQ59kfiyIVANGy2bQ5hHZeI0bnNi29toroZl4DgxgwhTnyNb3kZj9e6rhrWX4DmYJx1Eme25uI0wvh3WipHswAOH4mKpmy7x8XgOjcGv4R1oTM6j/8HYwNcuwgoAhIOUB6aHw3DahQLhHQNVlZZ3ClKJt90J1rRvxZOtli9FpXydUTEmT2QGg8TKV5/e1w3HFnCo8Qq+doNIVVd+8AWMCA+l7iDLsnVG4Tqcbs9RUY+Xw3VKA6MUma562uubBn1IdEWrc++H4Vp/DmMkJkkVjHysy8/5p1kljSHqR61iKR4FsQnnAOFVJ18MGaB4Te00lddU1DD15YyRO2r2gZYtOHWpL1dH/GPKoakbeXJPHo3+x7WmQpbOBi99MJaLIV7YHxgx6bpl+BtQzhteCLRfQ/sVtE9B+8jQUF7tVxy8PzhGmOjLlblPihnClq9/qx6r49WwaJE7jPy3yv0UzMla9jhti6E6vIKlPquthCh6u7hwxybarcpMGZ7dvj5NY/CEp2o8qaoSQw8n1s7VOxTynfttaWQH5xN8fkBnU5Pg7LwSZulehXKerQFXuj9jUwXypjdpZMwb4W6/scMkk8j8fJ/nHvkBh4MwDXMUqLLP4BslbQPx6Lab2Yx4ck6VvTYRoi39SanP38txWlq5J6HGCv8x1k9NnpRByivmh4CVlk+5/b1zwv6knCacBfmHqDOoJ9rEis/NEF30VHKnH5Rtfdf2CxNMQrxEvAmvh2uc5u+/r2C7yJQ4pYc34Eh71Hn5ck68+0LKBYVg0FL5H1ClLqgEymzOQpnBUOoyVZAbuVAXKFMWEwMv7aNLG6sHaEwTCGkcFbmBnX8qs6KQ8wDpggVRZn+gzFOKRi6UBoM0zEcwe5BTafeiPKOFAxFT2/2Dtq/AYMbTEFnzJTNh13bPoA3T31rNL02+zD7jwEzhivtCJNFPN3PcKwJ+Q8K4nvWDLiKxbOitFhZZ1oasy2kvDIlSE8faTnSLH5K1OGxLTWz92zA1bQQfc4ppW+njsjiHlFSoAPinjssTNEnbJ3Ipy22yBEztlF34fIdym858W3FsXT6RBiup8zgabbQ12LaT52Y9/c3TDvJceHrUsDq5DAcUE8WGvIaJZLKJDvo+UBpyFhWPn8PkYCK69pEc64jrveYWRT9mWcBw9Dlqjq+ZHze9eEW4Kn9d645fvG67h24tPg7JsbWB0/kbZZ9YHmg0P68OIKYITMfq0LLudnbgjpw+eBN5yO+3H+kg68SBDCy1/6gGecWWCzFiCkzPk0jDIJieZ2GhR+E82/sVZlVtv0E1N25QRX4yGUcI68bvMSoOu2QLjiFr2KEnqncPPosvjp1RQYv1G30o0XoBaKlRq81Cjww8YbBUztVzcUC0nV5tVjn+i1ZSpKsKXOJRxOsqlGqj0Eo87yBvHFbSLGGok0swAGi62agmTjXHrdahRovJZzm2m2Pe3l6cP/5tM4dd88tj0UK+kSBztZJAo8VcfgTCjOYU2cLsU8uc21pG4gzX6osUAgyptktrSadNYHBaY+cAoSYnlaCSWtBJszE4xavgiBPRMOPUGKxnukWdIIOkSJJcwQodBs4b2djUYrbXQbat9ByS+8De0s7coClSDf/N4Ad5S524pNFtAUq5DJlU1mOZSU0rlBSqb2Uqasj/cYd159h4KwiSvma7PPk045nJKD7yTlVI7znIopc3X6BhkU72kA1ael8HmEBxb/oAD3s80o3TYCowp+SlE5p8r08UcrhWeGYmVw7P4xqm6TDOZqgORcgFIK/QmsmglG5vc5N9u1tWi5V1KQZO4JoBL6OtTHO8vPuqG6e9RVp+aDb9xiiN1xAc9b7RJgJlZQsJvBacpszwreqkZT5xsEYk0y1uzcinEE6r41LKfiqerDdX/hQk4FT0HG4QfmSU7vEcUsI7YBqHktxOlpks6sW4ybXOx4MPQ7BHwGPmB79tBi62jSZXv+c/5+Z9d4jVWFmgZHXW9/N7/WfZ/LX+eWyU7VCckFA9Dqx5psomT/ZZKTJX9C7SQDdc/pL2JOYNfZOI31TSpek6x0Ubdjcd4+JaLqf77XHAeJwwH9dJ47qKZYyIPHyvBl+/sKhWslPeUXadJb2fjtxpRyIK+uFiUrRgU9DIqpul6RDFEeLTM8yP+SDvKAvGjR+hrq8TBoPdgbDzxqPKSuV7sCgieZ0UtYhgkrRc6Wg91qOeInNEUZv49NHOj/lf7yhpDn1FdS9jqq7FY9AjqrOxj0Pv6K7OA3BbFniDYMWnzH5+zA98R8XbYFYdYRH4ivzO//SKsjZht773bz2quM7Vfymy40kqNuumzuowfH5dZ8h8pd8ZmCNFmaNElaMljSNtSMXP596YEdDRPeP89ehpKw74DnPOfFMQ0DrDGgZfrUB3znlKWHk62GgT2PMBbNcjR0vaLYfvGVbSJ/wdT1DJEo6WcB3tYRZttVk63Hg7MV0J4DrhfcLzJQx1+n43CMEEsqlQvwWtP8HBTnFPB2jbZehIf79X63YDElx5ke05Ats15ghR5EhR5ihR5Whp8wUmOvcfVkjD3/EElTThqA7/JAzPwflma0DbKjOEJDKkJDOUpDK0oP22NnY1eXjD2/EMjRzjyC1XMuDL36idgnfzhob+Cddv59slnGFHG+E449rqug+vNAYw8HVGv9v+AxTUHbbI/B00tByM83AfoKDJr02mK6hOhycPzXzxeR2bx+iDv9tKc3W8UfrQip/Pvc5YQKE30F++8kDe8P32KDiqSrYZ4f+18uBLGe0wZ0Q8MdfKAgrS5MTSyohE31B2Bi8xWX7htqiWh+Ef2jxWllBIpUTEU3ItjAlJHSWBMZkh6dqR7ok90bWt7fgM1f6MKW3mw52Wa12BFLn2AXtjcqbqtuMT2QOUM8Ndl+O9ALhjwnk5P0bYK27NmJxrdQEVaXJyaXWE0OaEIu3NZIjmqlj5tr/HsJLu6+t7iY6M1n3OiHhirpUFFKTJiaWVEYm+ldvx3L/wbUnYYTzLIacsy2WBrnkPwvyphPFyMnSZbP3njKCn5lpbQChzZiDtzWXI+p4RsYPtNx4YL6hAl98fXTuGPSAtIBgvqECXKOXCd1fuQbapJoyXQ+gyxLReRNBTc40nSPJ73SCMe1FuZbd1HT8WUZdRk5NKqyKS7H/uYZnb1O95g7B7HCi0dR1fiyhT4TxnxDop16oCYn2+lDr0PamJClnb8RWqvdV6zxnhTsu1rkC6NDmttC4ixb6t9YMFHvmXXVciJb/fq3U7L2UXznvAuo6vRZSpcJ4zYp2Ua1UBofD847na/9zl66IzdtvfG1vesazv+AJZopRJXc+S2YVDVm3f8RFzCVdlcV5eMLvNuJYVr8kQJZejzpXRzFXRytWS5tuTvW6tZxse5ssnLln3OTPiiQsrS6TFTc0CE52EGf+cYwf68klhtAYRj2TmaVMhNDVx98oEhdSsiZ9nZQWF1uyJt1bWSJxRx13Ozxa3gnBOmL0umSlikaki5XuybzeTh7exHV+g2l8wpS18uNNyrSuQLk1OK62LSPPNZJt4uUnF3KX78b2uREKWm8i4dgC74LLRMF7QN3S9gtaMqbnWFhAJTxjYlTsZERswXgyh20/7XxQaPSP/RIT/2AuFY6XKZyCda8naKPxnINPDfq8Fd81Enxt1XaoUUFUCqVpg1RCEaoYSF9DnwcC0WFNxaTpo9MPjNAPWNSs7ZJje4vIAqP1QlUCqFlg1BalawcJlALo4oHqcrkPG13vEhzDUCF/uAR/CUKNyQRkuU4G0JkVFpeiwPzdKJRkwLU2aikvPrdv3drVuXCA1/v68ypECyDpm1xW7v8paCeip6pOBuyoFVJVAqhZYNQShmoJULUGpTmhgrJHHDZgWayouTcetGfHQrFDh4v98RqB6Rl1JpOuQ8RVh8SEMINNIfB/zBmK1tWYqSWFPEKv52e7NQ6KNiHEet90lO/f7dZG7IwD8OUWgcacxjfO47a60cydiTawJfUzsqmvNVILKNKFBWerLQDf4sBTTExX5Wy/4+4s+diN27uMi47ju8PGjaiVFJmgcAraUwjCBW91gisjt2hM040l+f91uiljoz+hhjpCJYAsqMEwlqnZURFJnZnRYPgtErakIQk0OWlYRAZtI3cAKDOnOhkysiKFMqm5hRWyZnBlwDkwmAm2twKgsEDK4AuNKoQr2MYER7LDaSg3XaDv9Uqp5P//XwcqKSOf1o+ypQ/EveGLdiTPrDKKvcWI9Ekxl+S1tmoAWSMOGoKtdgffig+GxdnzjNaH/CA3MmC9liZU7z8Tc5mwRCbI1KQzLacdqfCCGN2rVDsr8mRbTFjAskpKCek3QprGvR8YHYnz7CtVO5r3DgrPxxyUGQrE0B+3eTj8nLmBYJiUGzp2dzSecs7v1CP8g+J/AOwdT4VaqJU5MHZcbbBAWNtxKedDnGFo3/uTG8WEYf6Zjw4QEx1Dwm2vwIW9JK2+L+zSONDS2cfrxgRjfUn3FFIRhCQ0ldTY1ULMZo/Jru3b7h2HQ4awStAOikcNrANvDEhMiLcr+Eu8iEUdtDiiSx4eCP4STLpapgxlA7CENVYMoSK3cUQVE7Q+vF9Bel4ECHvKi6wBkJ+tLLH0Hbfd6SMLHLog7UfywnfHSa2IL8lwj13xsf7e9016zdXTQSQfA1g/yNN51dV3cOReU58bW2/dq38RMpuI7LAbV/eGrDUCLqLoYG5SFVWDAA3YpQ95lAff6k71jzR92SvbBfCWqxxFUzgQ0Q3mc5DyRFHnyTmJP2FJrmFbh/L44yu9SCvWPdjzu7qm9x3Ia59ShrvNU5nLsqP/5cuLcZ/sFyXGULxbLmcJdshYN7WJpicE54Anj0/wG9u7OkV/bwKe9y4xrZUnaKuQFqHkJwi3+efMSo+Y1W+Lwk0lNuFL1t/hXl7RKoy7Afr68AeMlLG/lK9aFJ6U58gtBlH78ChpSNlNc8ZYqIyJw51IU+n+1lsKQXsRf3pPnvr9c2KLkDlsMKfPooDspdB26QXAM0A2Bo4DuU4Pjgs5t7qZtag5ucWbbtSbkFq3RkfEyFS+eHA4bb0/sXA4jhDzLP7trzeMtTADJDrli2Padv0F9cIX1f99CZO3JSXdOzXwZWK12viJyQWFQtdNMLnBGe0+vu+0DX694D/Fda2g/FwE2iwEjK4Z8WloMxV+UXrgYW7Vu4HweVh9asFiXTlXKdQKUVqbmReFKcklkhYZxdYpVhcJMBtQiAopGzmFFce+qVDn5wSAzj3JVJIgJaoPpsKJA2YMRUj9QkVk8JFWPAXP+hJo0RTWau2Hw0w+1s+xOdFUzaaq4kEKUwEhrSy1gNFjYFdIoQYwHXWGpVTruatiE7dZLkD9Hxw8C5uQO9c8VedaP5r2HiNXNQRsfddq2lKA3KDdGyRvIqV0+5cO7khOuXzavWv8sD95ogAkba4BISfdKzeXr9bl+zjVONY6kqHhL/Pd4akRrRxlOMWtpiayfYP+1s6yG/L+PSjHTlbs1xyPX7JRbLq2J2a+TUyxO30NSM9/VKHqkPJgcHVC5W2OiprkqokyRum4H3IiDlLzfPOuU4Y7TywLJGCVStXjLIwjCY8pp5jWrhYxE1hBVE2F7QgbTpymk19SPxEedPt1QrHQgvkBRJ3GxJ6tGmogJwIdJ+WvPav34CoF765AGw77ADVH9cjWnDuuYyw0GdsqXNv/EVKM+jDVtuKFBbjxfAk801Wnr//o4BFoFVDEOfOChCZ99s40PRn88vIXhvymA8pESLDLYuDgCzHYQBPjXmx+OUyjZ/9va+YsBX0z8oFg88ei+wnlK/XNG8vn2h3r+a+Ae1K1FWSUonj9Xg16vSQHFwY8Kz34Q/adwnrS+0+BWxZB3CIrvw+cBONtsa3riZoQajtphShrqzB+zWMrY380Sv/ddorUOhdnUyMntwJT9Of9XZ3qV1Oy+ZpMvwVny7PaGciaPtYH3ThHO5tWyDmnn7YPcgLHAKoa8VUrBDPHJ5fZOcfqQkhsf4USSS3H+PA6Ch99XYm8x4UeIBJgROfLjYKhm+qzObYMu8lF+9mLBywz/zp+afN3bz0ILAwJQdo51iPdbL5VltX/yiX0Eb4vwMjhxQGvlVpUK0eue3z8NSbMSRHzBArD6eLvOLvseXiBLkc6kiIjvKqSoDMHP0A/L0hvy0OYK/Ye//O5+3i8fsocVji4Eexvk1J+7t9QcxIvq5u4hgDUzwN4JuAHXU1i3vAJ0g0CmdV5K+sCMw3DMimRQt5leJ2fVBJsL8E2YW/iqsrTUspQe+XBVXUJH4lx3Z4SOpTy7bn5+CXBwesXydKJw/R/s9endk/ih0NtT5edgHhuOF69xEKd89PaYv3NlhbFK1n9YAAvGv4CoECSAmMY3rVGnnm7YS2OClVpUyHKiwqHE69e2i7tOvmVEa6n4T4D84WFS032qfQ5Nh3aj1iSj4mdLsNVXuA+JIRmKnTPXs2Hv53Tq6GWySKDePn4tB99U1HMefBV1guyObgCyuohKghIi6xAbJqOtlf+17dufU6oY6WR2+O3umnm5iJcCE3t9Q3g9t9UGGUy5bebWV4TtJ5vn6zDkUGEKj3sA+lWhyOPfzfoqn1yvbv8M3SM19eSSfeddWDj37rjrkY3zzqqcTS7ap4v1108xKwZKER93617RaGSTG8hnORAJZAM9zL/qTbfYYoBD4Oj5EDzCHbJ1UWKKdfc6lpvlua1ud5GyjApFdEhv0u2ircte/E59fOQf+5JRHj7xTAXk6/Ahp9N9ZorzAZp8bvz+dhvE4QxGiu6qzc7oXUnYjVe7QC69CPYPnKO796wIuACy+8WykWhKXCEeNxaF6VH20uh8k0eXsGg4+bpGYv6pHvthFeAhNdNYevyfG/VOqUhNdZcWICoqBmKOhOHrY9dd/kwAtAdioJYueam5iYSeGcHY9ZjDU0WEioc9qZD4XkXF30xg9EKIza55TzADASo82nuh0RsWHe8CC9DXz+GGUMqTnbEw+aiYvgTbBAvH19BhPGIh2/WRd5wjEaqzwGKdzykmg2oIJVFdeHl0Flgq90ouLX2PTO9XBVEtkDi+b4M+lr7/cD7I6rpy692SFUtazfTIvXfvS+M/yiecDl3DuUG/XBDQE37/BD2keyRaBWcEgDyh90/Qw9VsKEdJxNfje/+4PGg1Xja8tqAKVrxg+1RQXWWoEaQ00emg4Qcj50MEHpLcrpuJNM5zpkdmxEP9/8+NUzD/R7Y06GO9c7zCQWvrHz/sexGivL3/FH+rfaBCd9bLryT2jmVs3CrN7YJvSZwBELlYdCPTLaNNPKJvHj8/uTYs82O9hcs8Jmr/ctuHFoDjJW47cyMp6U2Nwj89VeYBWrLt2pADPafkhTPs0f3Zd4K5vd4wxeY6VPwV06ff+TF4h3grZDRCtvl9VRjy36PjBqzg7+lxNRTkgu8oVcpcPDlp/FF0Xg2z0nTiviMra3/tNrF33wxSHs83krTR3drF2UhaYzlbSal/sBFOzhripW/NKS+Ltp7yU7UlqO0ROW+P0FcqKMTnHp5nC7QbszFqW1eNW3faGL25O1fZ1MHDdqM2RsZegJet/YLKpp5Cy9Q2mpZdq8Sby0PcrIUOd1KJwtzhc7+7hLVtleEoOZJTkb28pij76JbL31wgf3uS49SB1tqN2nHWqj9aUrd3esZnAVRa4RWwwxisVGJJcC2/ZPKdcrqMyh6e4aHsMJ0FvZGthpA6lN6/wsz38IGcJGDQx9uKSEgjy0Bvbiuj5q2EfTBZjYh35baqdNlRAI8wFNQ/24q1NdnDW4BHcgUFFtcTM4IJ497h2E/ep5w0cKztz3E3Xud0gFxqI77KwdcNmRPe8xJrT2sHj+p8u3IJyexqiuYAoQDSVCKTZUGsXey29glPuWGdpGrjli74UuUb3rbLKjRlFRf4P1t+YCtS0seJ2nsm7668QtFBgcfm8rYrqIc063NXi2lNDTLKDwSHqCaNrGHoI2h6wicR1KiWj3WvaZ+NBLTWfL5UEQ291LrfYeP2vYFvW6CqDRqBDXnBIuxgMbyqwGOF7OCyG/FuhV0qTmak3J2urfSgcBC+Rf9zWGH9yxEQDhPeJUJj9So5ZX+Mfa+JJ7HfroKYDBcHw3wPEsV8vlaSE+Ol8byeou8PkvvE533/CjXbhmvitfHFTx6LFFjgdeZP9s7xbQMxiUc0EBPbYp/OPrraz8pzrb+arBQnEyUt1Hj42cbrcA2az4hM+1k9W3uhgTItzGnyQlc97aZJzrcrfMGhBCNU/2fG7vfUezQbqVYr2nM0ewHhItzvKjoNpra35GlaZLY4LZVgn0RwXm27/0+7Am/BywAQXCsoW+8Dlhd9tMW6t/9n+h0f1rCX7M/b6/oaQ+Dmp8DRnUa9hLr4+GqbAc0k4/PErJen2bT6MGIsGdA1xnQYH0uNgvMD1Coe1KLMyifsshTWA0KlLsfFnM4It6TcbnPrVkRFF0NaKkuKn3btjkd2izgXYBrGyZR9DENrhIrpcfR5zQ2bnQx3P0YhpTobqk1/Gg5KhLNVigOCVLnxU18ARX2W+lYsFd56iXyPmC26XxefT6YWnu/mvY/zw2/zfY7EKeqjay+5MFC6M4tijhjNzyuw8xBtkjpcfhqxGPpjnXiP69UYYX56NCxLVGuP7flcsIUnR4rZjHcghdcx/ePOyuGqjVxhL8frCCMDbXNUNJNWzpIt23ha3EFCbH/cwu0trKXo76xddcRyKMKaqxQKeaGJheCPmJ/sy6Mv0x9bJTpo1/Svc8Q+AESrV+wG4Jof4INgulfHMyMcM+ZnRH9qqitHvRwwzQfVCo/jX4jJKDofOVPLALGhGTzmPzEPz7yuybi4E7AzaOax2KZs+c2vtWpZC8+01vWTPiULr7W84FrDcf/wBqrKIFThp8E+OXV8mTB1hcCULa05xfihsQ3UXh9lKsRWTNQBpIzQB+NYsEN6+ZBspRbLpbphrFoiPTkbwQpV5Irovntdf10IVHKEKXX406otaeFAKmW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-`),o6n=function(){};function ip(e){if(!(this instanceof ip))return new ip(e);if(HEe.call(this,e),!e||!e.headerFirst&&typeof e.boundary!="string")throw new TypeError("Boundary required");typeof e.boundary=="string"?this.setBoundary(e.boundary):this._bparser=void 0,this._headerFirst=e.headerFirst,this._dashes=0,this._parts=0,this._finished=!1,this._realFinish=!1,this._isPreamble=!0,this._justMatched=!1,this._firstWrite=!0,this._inHeader=!0,this._part=void 0,this._cb=void 0,this._ignoreData=!1,this._partOpts={highWaterMark:e.partHwm},this._pause=!1;let t=this;this._hparser=new n6n(e),this._hparser.on("header",function(n){t._inHeader=!1,t._part.emit("header",n)})}e6n(ip,HEe);ip.prototype.emit=function(e){if(e==="finish"&&!this._realFinish){if(!this._finished){let t=this;process.nextTick(function(){if(t.emit("error",new Error("Unexpected end of multipart data")),t._part&&!t._ignoreData){let n=t._isPreamble?"Preamble":"Part";t._part.emit("error",new Error(n+" terminated early due to unexpected end of multipart data")),t._part.push(null),process.nextTick(function(){t._realFinish=!0,t.emit("finish"),t._realFinish=!1});return}t._realFinish=!0,t.emit("finish"),t._realFinish=!1})}}else HEe.prototype.emit.apply(this,arguments)};ip.prototype._write=function(e,t,n){if(!this._hparser&&!this._bparser)return n();if(this._headerFirst&&this._isPreamble){this._part||(this._part=new ivt(this._partOpts),this.listenerCount("preamble")!==0?this.emit("preamble",this._part):this._ignore());let r=this._hparser.push(e);if(!this._inHeader&&r!==void 0&&r<e.length)e=e.slice(r);else return n()}this._firstWrite&&(this._bparser.push(s6n),this._firstWrite=!1),this._bparser.push(e),this._pause?this._cb=n:n()};ip.prototype.reset=function(){this._part=void 0,this._bparser=void 0,this._hparser=void 0};ip.prototype.setBoundary=function(e){let t=this;this._bparser=new t6n(`\r
---`+e),this._bparser.on("info",function(n,r,i,s){t._oninfo(n,r,i,s)})};ip.prototype._ignore=function(){this._part&&!this._ignoreData&&(this._ignoreData=!0,this._part.on("error",o6n),this._part.resume())};ip.prototype._oninfo=function(e,t,n,r){let i,s=this,o=0,a,c=!0;if(!this._part&&this._justMatched&&t){for(;this._dashes<2&&n+o<r;)if(t[n+o]===r6n)++o,++this._dashes;else{this._dashes&&(i=i6n),this._dashes=0;break}if(this._dashes===2&&(n+o<r&&this.listenerCount("trailer")!==0&&this.emit("trailer",t.slice(n+o,r)),this.reset(),this._finished=!0,s._parts===0&&(s._realFinish=!0,s.emit("finish"),s._realFinish=!1)),this._dashes)return}this._justMatched&&(this._justMatched=!1),this._part||(this._part=new ivt(this._partOpts),this._part._read=function(u){s._unpause()},this._isPreamble&&this.listenerCount("preamble")!==0?this.emit("preamble",this._part):this._isPreamble!==!0&&this.listenerCount("part")!==0?this.emit("part",this._part):this._ignore(),this._isPreamble||(this._inHeader=!0)),t&&n<r&&!this._ignoreData&&(this._isPreamble||!this._inHeader?(i&&(c=this._part.push(i)),c=this._part.push(t.slice(n,r)),c||(this._pause=!0)):!this._isPreamble&&this._inHeader&&(i&&this._hparser.push(i),a=this._hparser.push(t.slice(n,r)),!this._inHeader&&a!==void 0&&a<r&&this._oninfo(!1,t,n+a,r))),e&&(this._hparser.reset(),this._isPreamble?this._isPreamble=!1:n!==r&&(++this._parts,this._part.on("end",function(){--s._parts===0&&(s._finished?(s._realFinish=!0,s.emit("finish"),s._realFinish=!1):s._unpause())})),this._part.push(null),this._part=void 0,this._ignoreData=!1,this._justMatched=!0,this._dashes=0)};ip.prototype._unpause=function(){if(this._pause&&(this._pause=!1,this._cb)){let e=this._cb;this._cb=void 0,e()}};svt.exports=ip});var XY=w((BEe,cvt)=>{"use strict";var ovt=new TextDecoder("utf-8"),avt=new Map([["utf-8",ovt],["utf8",ovt]]);function a6n(e){let t;for(;;)switch(e){case"utf-8":case"utf8":return O1.utf8;case"latin1":case"ascii":case"us-ascii":case"iso-8859-1":case"iso8859-1":case"iso88591":case"iso_8859-1":case"windows-1252":case"iso_8859-1:1987":case"cp1252":case"x-cp1252":return O1.latin1;case"utf16le":case"utf-16le":case"ucs2":case"ucs-2":return O1.utf16le;case"base64":return O1.base64;default:if(t===void 0){t=!0,e=e.toLowerCase();continue}return O1.other.bind(e)}}var O1={utf8:(e,t)=>e.length===0?"":(typeof e=="string"&&(e=Buffer.from(e,t)),e.utf8Slice(0,e.length)),latin1:(e,t)=>e.length===0?"":typeof e=="string"?e:e.latin1Slice(0,e.length),utf16le:(e,t)=>e.length===0?"":(typeof e=="string"&&(e=Buffer.from(e,t)),e.ucs2Slice(0,e.length)),base64:(e,t)=>e.length===0?"":(typeof e=="string"&&(e=Buffer.from(e,t)),e.base64Slice(0,e.length)),other:(e,t)=>{if(e.length===0)return"";if(typeof e=="string"&&(e=Buffer.from(e,t)),avt.has(BEe.toString()))try{return avt.get(BEe).decode(e)}catch{}return typeof e=="string"?e:e.toString()}};function c6n(e,t,n){return e&&a6n(n)(e,t)}cvt.exports=c6n});var zEe=w((pyi,pvt)=>{"use strict";var QY=XY(),uvt=/%[a-fA-F0-9][a-fA-F0-9]/g,u6n={"%00":"\0","%01":"
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+`),x5n=/\r\n/g,O5n=/^([^:]+):[ \t]?([\x00-\xFF]+)?$/;function px(e){yvt.call(this),e=e||{};let t=this;this.nread=0,this.maxed=!1,this.npairs=0,this.maxHeaderPairs=gvt(e,"maxHeaderPairs",2e3),this.maxHeaderSize=gvt(e,"maxHeaderSize",80*1024),this.buffer="",this.header={},this.finished=!1,this.ss=new k5n(I5n),this.ss.on("info",function(n,r,i,s){r&&!t.maxed&&(t.nread+s-i>=t.maxHeaderSize?(s=t.maxHeaderSize-t.nread+i,t.nread=t.maxHeaderSize,t.maxed=!0):t.nread+=s-i,t.buffer+=r.toString("binary",i,s)),n&&t._finish()})}w5n(px,yvt);px.prototype.push=function(e){let t=this.ss.push(e);if(this.finished)return t};px.prototype.reset=function(){this.finished=!1,this.buffer="",this.header={},this.ss.reset()};px.prototype._finish=function(){this.buffer&&this._parseHeader(),this.ss.matches=this.ss.maxMatches;let e=this.header;this.header={},this.buffer="",this.finished=!0,this.nread=this.npairs=0,this.maxed=!1,this.emit("header",e)};px.prototype._parseHeader=function(){if(this.npairs===this.maxHeaderPairs)return;let e=this.buffer.split(x5n),t=e.length,n,r;for(var i=0;i<t;++i){if(e[i].length===0)continue;if((e[i][0]==="	"||e[i][0]===" ")&&r){this.header[r][this.header[r].length-1]+=e[i];continue}let s=e[i].indexOf(":");if(s===-1||s===0)return;if(n=O5n.exec(e[i]),r=n[1].toLowerCase(),this.header[r]=this.header[r]||[],this.header[r].push(n[2]||""),++this.npairs===this.maxHeaderPairs)break}};Svt.exports=px});var Qbe=w((nSi,_vt)=>{"use strict";var Xbe=K("node:stream").Writable,P5n=K("node:util").inherits,N5n=Zbe(),Evt=hvt(),C5n=bvt(),M5n=45,D5n=Buffer.from("-"),L5n=Buffer.from(`\r
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+--`+e),this._bparser.on("info",function(n,r,i,s){t._oninfo(n,r,i,s)})};sp.prototype._ignore=function(){this._part&&!this._ignoreData&&(this._ignoreData=!0,this._part.on("error",U5n),this._part.resume())};sp.prototype._oninfo=function(e,t,n,r){let i,s=this,o=0,a,c=!0;if(!this._part&&this._justMatched&&t){for(;this._dashes<2&&n+o<r;)if(t[n+o]===M5n)++o,++this._dashes;else{this._dashes&&(i=D5n),this._dashes=0;break}if(this._dashes===2&&(n+o<r&&this.listenerCount("trailer")!==0&&this.emit("trailer",t.slice(n+o,r)),this.reset(),this._finished=!0,s._parts===0&&(s._realFinish=!0,s.emit("finish"),s._realFinish=!1)),this._dashes)return}this._justMatched&&(this._justMatched=!1),this._part||(this._part=new Evt(this._partOpts),this._part._read=function(u){s._unpause()},this._isPreamble&&this.listenerCount("preamble")!==0?this.emit("preamble",this._part):this._isPreamble!==!0&&this.listenerCount("part")!==0?this.emit("part",this._part):this._ignore(),this._isPreamble||(this._inHeader=!0)),t&&n<r&&!this._ignoreData&&(this._isPreamble||!this._inHeader?(i&&(c=this._part.push(i)),c=this._part.push(t.slice(n,r)),c||(this._pause=!0)):!this._isPreamble&&this._inHeader&&(i&&this._hparser.push(i),a=this._hparser.push(t.slice(n,r)),!this._inHeader&&a!==void 0&&a<r&&this._oninfo(!1,t,n+a,r))),e&&(this._hparser.reset(),this._isPreamble?this._isPreamble=!1:n!==r&&(++this._parts,this._part.on("end",function(){--s._parts===0&&(s._finished?(s._realFinish=!0,s.emit("finish"),s._realFinish=!1):s._unpause())})),this._part.push(null),this._part=void 0,this._ignoreData=!1,this._justMatched=!0,this._dashes=0)};sp.prototype._unpause=function(){if(this._pause&&(this._pause=!1,this._cb)){let e=this._cb;this._cb=void 0,e()}};_vt.exports=sp});var p6=w(($be,Rvt)=>{"use strict";var Tvt=new TextDecoder("utf-8"),vvt=new Map([["utf-8",Tvt],["utf8",Tvt]]);function F5n(e){let t;for(;;)switch(e){case"utf-8":case"utf8":return B1.utf8;case"latin1":case"ascii":case"us-ascii":case"iso-8859-1":case"iso8859-1":case"iso88591":case"iso_8859-1":case"windows-1252":case"iso_8859-1:1987":case"cp1252":case"x-cp1252":return B1.latin1;case"utf16le":case"utf-16le":case"ucs2":case"ucs-2":return B1.utf16le;case"base64":return B1.base64;default:if(t===void 0){t=!0,e=e.toLowerCase();continue}return B1.other.bind(e)}}var B1={utf8:(e,t)=>e.length===0?"":(typeof e=="string"&&(e=Buffer.from(e,t)),e.utf8Slice(0,e.length)),latin1:(e,t)=>e.length===0?"":typeof e=="string"?e:e.latin1Slice(0,e.length),utf16le:(e,t)=>e.length===0?"":(typeof e=="string"&&(e=Buffer.from(e,t)),e.ucs2Slice(0,e.length)),base64:(e,t)=>e.length===0?"":(typeof e=="string"&&(e=Buffer.from(e,t)),e.base64Slice(0,e.length)),other:(e,t)=>{if(e.length===0)return"";if(typeof e=="string"&&(e=Buffer.from(e,t)),vvt.has($be.toString()))try{return vvt.get($be).decode(e)}catch{}return typeof e=="string"?e:e.toString()}};function j5n(e,t,n){return e&&F5n(n)(e,t)}Rvt.exports=j5n});var tEe=w((rSi,xvt)=>{"use strict";var h6=p6(),Avt=/%[a-fA-F0-9][a-fA-F0-9]/g,H5n={"%00":"\0","%01":"
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+The elaboration phase must produce these artifacts. Go back and create them, then call haiku_run_next again.`};break}return null}function WAt(e,t){let n=br(e,"stages",t,"units");if(!_c(n))return null;let r=op(n).filter(o=>o.endsWith(".md"));if(r.length===0)return null;let i=[],s=new Map;for(let o of r){if(!dJn.test(o)){o.startsWith("unit-")?/^unit-\d+/.test(o)?/^unit-\d{2,}/.test(o)?i.push({file:o,issue:"slug must be kebab-case (lowercase letters, numbers, hyphens). Expected: unit-NNN-slug.md"}):i.push({file:o,issue:"number must be zero-padded to at least 2 digits (preferred: 3 digits, e.g. `001`, `002`, \u2026, `999`)"}):i.push({file:o,issue:"must have a zero-padded number after 'unit-' (e.g., unit-001-...)"}):i.push({file:o,issue:"must start with 'unit-'"});continue}let a=o.match(/^unit-(\d+)/);if(a){let c=Number.parseInt(a[1],10);s.has(c)?i.push({file:o,issue:`duplicate number ${a[1]} (also used by ${s.get(c)})`}):s.set(c,o)}}if(i.length>0){let o=e.split("/intents/")[1]||"";return{action:"unit_naming_invalid",intent:o,stage:t,violations:i,message:`${i.length} unit file(s) have invalid naming in stage '${t}'. Files MUST be named \`unit-NNN-slug.md\` (e.g., \`unit-001-data-model.md\`; legacy 2-digit \`unit-01-\u2026\` still resolves):
 
 ${i.map(a=>`- \`${a.file}\`: ${a.issue}`).join(`
 `)}
 
-Rename the files to match the convention, then call \`haiku_run_next { intent: "${o}" }\` again.`}}return null}function IRt(e,t){let n=Sr(e,"stages",t,"units");if(!bc(n))return null;let r=sp(n).filter(s=>s.endsWith(".md"));if(r.length===0)return null;let i=[];for(let s of r){let o=H1(Sr(n,s)),a=o.status||"";if(["complete","skipped","failed"].includes(a))continue;(o.inputs||o.refs||[]).length===0&&i.push(s.replace(/\.md$/,""))}if(i.length>0){let s=e.split("/intents/")[1]||"";return{action:"unit_inputs_missing",intent:s,stage:t,missing_units:i,message:`Cannot advance to execution: ${i.length} unit(s) have no \`inputs:\` field.
+Rename the files to match the convention, then call \`haiku_run_next { intent: "${o}" }\` again.`}}return null}function KAt(e,t){let n=br(e,"stages",t,"units");if(!_c(n))return null;let r=op(n).filter(s=>s.endsWith(".md"));if(r.length===0)return null;let i=[];for(let s of r){let o=Q1(br(n,s)),a=o.status||"";if(["complete","skipped","failed"].includes(a))continue;(o.inputs||o.refs||[]).length===0&&i.push(s.replace(/\.md$/,""))}if(i.length>0){let s=e.split("/intents/")[1]||"";return{action:"unit_inputs_missing",intent:s,stage:t,missing_units:i,message:`Cannot advance to execution: ${i.length} unit(s) have no \`inputs:\` field.
 
 Every unit MUST declare its inputs \u2014 the upstream artifacts, knowledge docs, and prior-stage outputs it references. At minimum, include the intent document and discovery docs.
 
@@ -1020,7 +1018,7 @@ Units missing inputs:
 ${i.map(o=>`- ${o}`).join(`
 `)}
 
-Add \`inputs:\` to each unit's frontmatter with paths relative to the intent directory (e.g., \`knowledge/DISCOVERY.md\`, \`stages/design/DESIGN-BRIEF.md\`), then call \`haiku_run_next { intent: "${s}" }\` again.`}}return null}function xRt(e){let t=Sr(e,"coverage-decisions.json");if(!bc(t))return new Set;try{let n=JSON.parse(f5(t,"utf8")),r=new Set;for(let i of n.decisions??[])i?.path&&r.add(i.path);return r}catch{return new Set}}function NJn(e,t){let n=[];for(let r of OJn){let i=Sr(e,r);if(!bc(i))continue;let s=[""];for(;s.length>0;){let o=s.pop(),a=Sr(i,o),c;try{c=sp(a)}catch{continue}for(let u of c){let l=o?`${o}/${u}`:u,d=Sr(a,u);try{let f=kJn(d);f.isDirectory()?s.push(l):f.isFile()&&n.push(`${t}/${r}/${l}`)}catch{}}}}return n}function PJn(e){if(!bc(e))return[];let t=[];for(let n of sp(e)){if(!n.endsWith(".md"))continue;let i=H1(Sr(e,n)).outputs||[];for(let s of i)typeof s=="string"&&s.trim()!==""&&t.push(s.trim())}return t}function CJn(e){let t=new Set;if(!bc(e))return t;for(let n of sp(e)){if(!n.endsWith(".md"))continue;let r=H1(Sr(e,n)),i=r.inputs||r.refs||[];for(let s of i)typeof s=="string"&&s.trim()!==""&&t.add(s.trim())}return t}function ORt(e,t,n){if(n.length===0)return null;let r=Sr(e,"stages",t,"units"),i=CJn(r),s=xRt(Sr(e,"stages",t)),o=[],a=new Set;for(let u of n){let l=Sr(e,"stages",u);if(!bc(l))continue;let d=`stages/${u}`,f=PJn(Sr(l,"units")),p=NJn(l,d);for(let h of[...f,...p])a.has(h)||(a.add(h),!i.has(h)&&(s.has(h)||o.push({path:h,from_stage:u})))}if(o.length===0)return null;let c=e.split("/intents/")[1]||"";return{action:"coverage_review_required",intent:c,stage:t,unreferenced:o,message:`Cannot advance past elaborate: ${o.length} prior-stage output(s) are not referenced by any unit's \`inputs:\` in stage '${t}' AND have no entry in \`stages/${t}/coverage-decisions.json\`. Continuity contract: downstream stages must cover upstream deliverables.
+Add \`inputs:\` to each unit's frontmatter with paths relative to the intent directory (e.g., \`knowledge/DISCOVERY.md\`, \`stages/design/DESIGN-BRIEF.md\`), then call \`haiku_run_next { intent: "${s}" }\` again.`}}return null}function YAt(e){let t=br(e,"coverage-decisions.json");if(!_c(t))return new Set;try{let n=JSON.parse(I6(t,"utf8")),r=new Set;for(let i of n.decisions??[])i?.path&&r.add(i.path);return r}catch{return new Set}}function pJn(e,t){let n=[];for(let r of fJn){let i=br(e,r);if(!_c(i))continue;let s=[""];for(;s.length>0;){let o=s.pop(),a=br(i,o),c;try{c=op(a)}catch{continue}for(let u of c){let l=o?`${o}/${u}`:u,d=br(a,u);try{let f=uJn(d);f.isDirectory()?s.push(l):f.isFile()&&n.push(`${t}/${r}/${l}`)}catch{}}}}return n}function hJn(e){if(!_c(e))return[];let t=[];for(let n of op(e)){if(!n.endsWith(".md"))continue;let i=Q1(br(e,n)).outputs||[];for(let s of i)typeof s=="string"&&s.trim()!==""&&t.push(s.trim())}return t}function mJn(e){let t=new Set;if(!_c(e))return t;for(let n of op(e)){if(!n.endsWith(".md"))continue;let r=Q1(br(e,n)),i=r.inputs||r.refs||[];for(let s of i)typeof s=="string"&&s.trim()!==""&&t.add(s.trim())}return t}function ZAt(e,t,n){if(n.length===0)return null;let r=br(e,"stages",t,"units"),i=mJn(r),s=YAt(br(e,"stages",t)),o=[],a=new Set;for(let u of n){let l=br(e,"stages",u);if(!_c(l))continue;let d=`stages/${u}`,f=hJn(br(l,"units")),p=pJn(l,d);for(let h of[...f,...p])a.has(h)||(a.add(h),!i.has(h)&&(s.has(h)||o.push({path:h,from_stage:u})))}if(o.length===0)return null;let c=e.split("/intents/")[1]||"";return{action:"coverage_review_required",intent:c,stage:t,unreferenced:o,message:`Cannot advance past elaborate: ${o.length} prior-stage output(s) are not referenced by any unit's \`inputs:\` in stage '${t}' AND have no entry in \`stages/${t}/coverage-decisions.json\`. Continuity contract: downstream stages must cover upstream deliverables.
 
 For each unreferenced file, EITHER:
   (a) Call \`haiku_unit_set { intent: "${c}", stage: "${t}", unit: "<unit>", field: "inputs", value: [...existing, "<path>"] }\` to add it to a unit's inputs (the canonical path).
@@ -1030,8 +1028,8 @@ Unreferenced files:
 ${o.map(u=>`- \`${u.path}\` (from stage '${u.from_stage}')`).join(`
 `)}
 
-After resolving each, call \`haiku_run_next { intent: "${c}" }\` to re-run the validator.`}}function LJn(e){return!(!MJn.test(e)||DJn.test(e))}function UJn(e){let t=e.replace(/^.*\//,""),n=t.lastIndexOf(".");return n>0?t.slice(0,n):t}function FJn(e){return e.startsWith(".haiku/")}function jJn(e,t,n){if(t===""||t.length<2)return[];try{return wJn("git",["grep","-lw","--",t],{cwd:e,encoding:"utf8",stdio:["ignore","pipe","ignore"]}).split(`
-`).map(i=>i.trim()).filter(i=>i!==""&&i!==n&&!FJn(i))}catch{return[]}}function NRt(e,t,n){if(t.length===0)return null;let r=[],i=new Set;for(let c of t){let u=Sr(e,"stages",c,"units");if(bc(u))for(let l of sp(u)){if(!l.endsWith(".md"))continue;let f=H1(Sr(u,l)).outputs||[];for(let p of f)typeof p!="string"||!LJn(p)||i.has(p)||(i.add(p),r.push({path:p,from_stage:c,from_unit:l.replace(/\.md$/,"")}))}}if(r.length===0)return null;let s=new Set;for(let c of t){let u=xRt(Sr(e,"stages",c));for(let l of u)s.add(l)}let o=[];for(let c of r){if(s.has(c.path))continue;let u=UJn(c.path);jJn(n,u,c.path).length===0&&o.push(c)}if(o.length===0)return null;let a=e.split("/intents/")[1]||"";return{action:"output_liveness_review_required",intent:a,orphans:o,message:`Cannot advance to intent-completion review: ${o.length} code-output(s) shipped by units across this intent's stages have NO referencers anywhere in the repo. The continuity contract requires every code deliverable to be imported, rendered, or otherwise wired in by some other file. Files defined but never rendered are invisible to the user \u2014 the methodology promise breaks.
+After resolving each, call \`haiku_run_next { intent: "${c}" }\` to re-run the validator.`}}function SJn(e){return!(!gJn.test(e)||yJn.test(e))}function bJn(e){let t=e.replace(/^.*\//,""),n=t.lastIndexOf(".");return n>0?t.slice(0,n):t}function EJn(e){return e.startsWith(".haiku/")}function _Jn(e,t,n){if(t===""||t.length<2)return[];try{return cJn("git",["grep","-lw","--",t],{cwd:e,encoding:"utf8",stdio:["ignore","pipe","ignore"]}).split(`
+`).map(i=>i.trim()).filter(i=>i!==""&&i!==n&&!EJn(i))}catch{return[]}}function JAt(e,t,n){if(t.length===0)return null;let r=[],i=new Set;for(let c of t){let u=br(e,"stages",c,"units");if(_c(u))for(let l of op(u)){if(!l.endsWith(".md"))continue;let f=Q1(br(u,l)).outputs||[];for(let p of f)typeof p!="string"||!SJn(p)||i.has(p)||(i.add(p),r.push({path:p,from_stage:c,from_unit:l.replace(/\.md$/,"")}))}}if(r.length===0)return null;let s=new Set;for(let c of t){let u=YAt(br(e,"stages",c));for(let l of u)s.add(l)}let o=[];for(let c of r){if(s.has(c.path))continue;let u=bJn(c.path);_Jn(n,u,c.path).length===0&&o.push(c)}if(o.length===0)return null;let a=e.split("/intents/")[1]||"";return{action:"output_liveness_review_required",intent:a,orphans:o,message:`Cannot advance to intent-completion review: ${o.length} code-output(s) shipped by units across this intent's stages have NO referencers anywhere in the repo. The continuity contract requires every code deliverable to be imported, rendered, or otherwise wired in by some other file. Files defined but never rendered are invisible to the user \u2014 the methodology promise breaks.
 
 For each orphan, EITHER:
   (a) Author a unit (or extend an existing unit) that integrates the output \u2014 typically importing the component into a parent screen, registering a route, or calling the function from a reachable code path. The integration code's diff lands as a new commit on the intent main branch.
@@ -1041,119 +1039,119 @@ Orphan outputs:
 ${o.map(c=>`- \`${c.path}\` (declared by ${c.from_unit} in stage '${c.from_stage}')`).join(`
 `)}
 
-After resolving each, call \`haiku_run_next { intent: "${a}" }\` to re-run the validator.`}}function PRt(e,t){let n=ve(),r=Sr(n,"intents",e),i=Sr(r,"intent.md"),s;try{s=ARt("git rev-parse --show-toplevel",{encoding:"utf8"}).trim()}catch{s=process.cwd()}function o(p){let h=H1(p);return(Array.isArray(h.quality_gates)?h.quality_gates:[]).filter(y=>!!y?.command).map(y=>({name:y.name??"",command:y.command,dir:y.dir??""}))}let a=o(i),c=Sr(r,"stages",t,"units");if(bc(c))for(let p of sp(c).filter(h=>h.startsWith("unit-")&&h.endsWith(".md")))a.push(...o(Sr(c,p)));let u=new Set,l=a.filter(p=>{let h=`${p.command}::${p.dir}`;return u.has(h)?!1:(u.add(h),!0)}),d=(()=>{let p=process.env.HAIKU_QUALITY_GATE_TIMEOUT_MS,h=p?Number.parseInt(p,10):NaN;return Number.isFinite(h)&&h>0?h:12e4})(),f=[];for(let p=0;p<l.length;p++){let h=l[p],m=h.dir?IJn(s,h.dir):s,y="",g=0;try{y=ARt(h.command,{cwd:m,encoding:"utf8",timeout:d,stdio:["pipe","pipe","pipe"]})}catch(E){let S=E;g=S.status??1;let b=S.signal==="SIGTERM",_=(S.stdout??"")+(S.stderr??"");y=((b?`[timeout after ${d}ms \u2014 command killed with SIGTERM]
-`:"")+_).slice(0,500)}g!==0&&f.push({name:h.name||`gate-${p}`,command:h.command,dir:h.dir,exit_code:g,output:y})}return f}var pbe,xJn,OJn,MJn,DJn,h5=v(()=>{"use strict";pbe=Se(Xt(),1);Ci();ze();Kn();ts();ns();xJn=/^unit-\d{2,}-[a-z0-9]+(?:-[a-z0-9]+)*\.md$/;OJn=["artifacts","outputs","knowledge","discovery"];MJn=/\.(ts|tsx|js|jsx|mjs|cjs)$/i,DJn=/\.(test|spec)\.[a-z]+$|\/__tests__\/|\/test\//i});import{existsSync as zg,mkdirSync as HJn,readdirSync as qJn,readFileSync as DRt,renameSync as BJn}from"node:fs";import{dirname as GJn,join as $c}from"node:path";function CRt(e){if(!zg(e))return{};let t=DRt(e,"utf8"),{data:n}=re(t);return n}function hbe(e,t,n,r){let i=Wdt(El(e,t),$c(n,"stages",t,"artifacts"),{studio:e,stage:t}),s=Object.keys(i).sort();if(s.length===0)return null;let o=s.map(a=>{let c=a.split(/[-_]/).map(l=>l.length===0?l:l[0].toUpperCase()+l.slice(1)).join(" "),u=kr({resolveBody:()=>Ch(e,t,a),toolName:"haiku_read_review_agent",toolArgs:{studio:e,stage:t,role:a},intent:r,stage:t,kind:"review-agent",name:a});return`- **${c}** \u2014 ${u}`});return[VJn,"",...o].join(`
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-`);X.push(j)}g.push(X.join(`
-`))}f.length>0&&g.push(`### Pending Units (targets for this iteration)
+After resolving each, call \`haiku_run_next { intent: "${a}" }\` to re-run the validator.`}}function XAt(e,t){let n=Te(),r=br(n,"intents",e),i=br(r,"intent.md"),s;try{s=zAt("git rev-parse --show-toplevel",{encoding:"utf8"}).trim()}catch{s=process.cwd()}function o(p){let h=Q1(p);return(Array.isArray(h.quality_gates)?h.quality_gates:[]).filter(g=>!!g?.command).map(g=>({name:g.name??"",command:g.command,dir:g.dir??""}))}let a=o(i),c=br(r,"stages",t,"units");if(_c(c))for(let p of op(c).filter(h=>h.startsWith("unit-")&&h.endsWith(".md")))a.push(...o(br(c,p)));let u=new Set,l=a.filter(p=>{let h=`${p.command}::${p.dir}`;return u.has(h)?!1:(u.add(h),!0)}),d=(()=>{let p=process.env.HAIKU_QUALITY_GATE_TIMEOUT_MS,h=p?Number.parseInt(p,10):NaN;return Number.isFinite(h)&&h>0?h:12e4})(),f=[];for(let p=0;p<l.length;p++){let h=l[p],m=h.dir?lJn(s,h.dir):s,g="",y=0;try{g=zAt(h.command,{cwd:m,encoding:"utf8",timeout:d,stdio:["pipe","pipe","pipe"]})}catch(b){let S=b;y=S.status??1;let E=S.signal==="SIGTERM",_=(S.stdout??"")+(S.stderr??"");g=((E?`[timeout after ${d}ms \u2014 command killed with SIGTERM]
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+`);Q.push(j)}y.push(Q.join(`
+`))}f.length>0&&y.push(`### Pending Units (targets for this iteration)
 
-${f.map(X=>`- \`${X}\``).join(`
+${f.map(Q=>`- \`${Q}\``).join(`
 `)}
 
-These units exist but haven't been executed. If they're still relevant, leave them. Revise their specs if the intent has evolved. Reject individual units by deleting their file (not advised unless clearly obsolete).`),g.push(Es("workflow-contracts-elaborate"));let B=hbe(n,s,i,t);return B&&g.push(B),g.push(fx.renderString(zJn,{slug:t})),g.join(`
+These units exist but haven't been executed. If they're still relevant, leave them. Revise their specs if the intent has evolved. Reject individual units by deleting their file (not advised unless clearly obsolete).`),y.push(bs("workflow-contracts-elaborate"));let q=AEe(n,s,i,t);return q&&y.push(q),y.push(Sx.renderString(wJn,{slug:t})),y.join(`
 
-`)}if(l>1){y||g.push(`## Revisit Elaborate: ${s} (iteration #${l})`),m&&g.push(`### Validation Error
+`)}if(l>1){g||y.push(`## Revisit Elaborate: ${s} (iteration #${l})`),m&&y.push(`### Validation Error
 
-${m}`),d.length>0&&g.push(`### Frozen Completed Units (read-only)
+${m}`),d.length>0&&y.push(`### Frozen Completed Units (read-only)
 
 The following units from prior iterations are **completed and immutable** \u2014 do NOT modify or re-queue them:
 
-${d.map(G=>`- \`${G}\``).join(`
-`)}`),h.length>0&&g.push(`### Pending Feedback (MUST address \u2014 READ EACH FILE IN FULL)
+${d.map(B=>`- \`${B}\``).join(`
+`)}`),h.length>0&&y.push(`### Pending Feedback (MUST address \u2014 READ EACH FILE IN FULL)
 
-${h.map(G=>`- **${G.feedback_id}** \u2014 ${G.title}
-  - file: \`${G.file}\`
-  - origin: ${G.origin} \xB7 author: ${G.author}`).join(`
+${h.map(B=>`- **${B.feedback_id}** \u2014 ${B.title}
+  - file: \`${B.file}\`
+  - origin: ${B.origin} \xB7 author: ${B.author}`).join(`
 `)}
 
-You MUST open every file above and read it completely before drafting units. The title is only a handle; the body carries requirements, tests, and acceptance criteria.`);let B=hbe(n,s,i,t);B&&g.push(B);let X=MRt();return X&&g.push(X),g.push("### Responsibilities\n\n- Read every `pending_feedback[].file` in full before drafting \u2014 the title is only a handle.\n- Draft one or more new units whose `closes:` frontmatter references the feedback items they resolve.\n- Every pending feedback item MUST be referenced by at least one new unit's `closes:` (orphans block advancement).\n- Ask the user clarifying questions (`AskUserQuestion` with options[]) when trade-offs are unclear; iterate across turns.\n- When the user approves the drafted units, call `haiku_run_next` to advance.\n\nInputs (read directly \u2014 do not inline summaries, open the actual files):\n- every `pending_feedback[].file` listed above\n- `stage_metadata` (STAGE.md body + review agents)\n- `completed_units` (read-only reference)\n- `intent.md` for overall goals"),g.push(`### Mechanics
+You MUST open every file above and read it completely before drafting units. The title is only a handle; the body carries requirements, tests, and acceptance criteria.`);let q=AEe(n,s,i,t);q&&y.push(q);let Q=$At();return Q&&y.push(Q),y.push("### Responsibilities\n\n- Read every `pending_feedback[].file` in full before drafting \u2014 the title is only a handle.\n- Draft one or more new units whose `closes:` frontmatter references the feedback items they resolve.\n- Every pending feedback item MUST be referenced by at least one new unit's `closes:` (orphans block advancement).\n- Ask the user clarifying questions (`AskUserQuestion` with options[]) when trade-offs are unclear; iterate across turns.\n- When the user approves the drafted units, call `haiku_run_next` to advance.\n\nInputs (read directly \u2014 do not inline summaries, open the actual files):\n- every `pending_feedback[].file` listed above\n- `stage_metadata` (STAGE.md body + review agents)\n- `completed_units` (read-only reference)\n- `intent.md` for overall goals"),y.push(`### Mechanics
 
 1. Continue the existing file-naming sequence: if the last unit is \`unit-0N-...\`, start new units at \`unit-0(N+1)-...\` (keep the same digit width as existing units in this stage; the engine resolves either width by numeric prefix).
 2. Each new unit MUST declare \`closes: [FB-NNN]\` for every feedback id it addresses.
 3. Every pending feedback item MUST be referenced by at least one new unit's \`closes:\` (orphans block advancement).
 4. Use the unit-file naming convention: \`unit-NNN-slug.md\` (kebab-case slug, 3-digit zero-padded number; max 999).
-5. Call \`haiku_run_next { intent: "${t}" }\` when done \u2014 the orchestrator re-validates and advances.`),g.join(`
+5. Call \`haiku_run_next { intent: "${t}" }\` when done \u2014 the orchestrator re-validates and advances.`),y.join(`
 
-`)}if(y||g.push(`## Elaborate: ${s}`),o&&g.push(`${o.body}`),Cfe(n,s,"ELABORATION")){let B=kr({resolveBody:()=>L3(n,s,"ELABORATION"),toolName:"haiku_read_phase",toolArgs:{studio:n,stage:s,phase:"ELABORATION"},intent:t,stage:s,kind:"phase",name:"ELABORATION"});g.push(`### Phase: Elaboration Override
+`)}if(g||y.push(`## Elaborate: ${s}`),o&&y.push(`${o.body}`),Wfe(n,s,"ELABORATION")){let q=kr({resolveBody:()=>ZK(n,s,"ELABORATION"),toolName:"haiku_read_phase",toolArgs:{studio:n,stage:s,phase:"ELABORATION"},intent:t,stage:s,kind:"phase",name:"ELABORATION"});y.push(`### Phase: Elaboration Override
 
-${B}`)}g.push(Es("workflow-contracts-elaborate"));let E=MI("elaborate",i);E&&g.push(E);let S=hbe(n,s,i,t);S&&g.push(S);let b=wn(zg($c(i,"intent.md"))?CRt($c(i,"intent.md")):{},n),_=[],T=[];if(o?.data?.inputs&&Array.isArray(o.data.inputs)){let B=o.data.inputs,X=Fpe(B,b),G=F3(n,X,i,t),M=G.filter(U=>U.exists),q=G.filter(U=>!U.exists);if(M.length>0){T=M.map(U=>U.resolvedPath.startsWith(`${i}/`)?U.resolvedPath.slice(i.length+1):U.resolvedPath);for(let U of M){let D=U.resolvedPath.startsWith(`${i}/`)?U.resolvedPath.slice(i.length+1):U.resolvedPath;_.push(`- **${U.stage}/${U.artifactName}** (${U.kind}) \u2014 \`${D}\``)}}q.length>0&&g.push(`## \u26A0 Missing Upstream Artifacts
+${q}`)}y.push(bs("workflow-contracts-elaborate"));let b=LI("elaborate",i);b&&y.push(b);let S=AEe(n,s,i,t);S&&y.push(S);let E=wn(Vg(tu(i,"intent.md"))?QAt(tu(i,"intent.md")):{},n),_=[],T=[];if(o?.data?.inputs&&Array.isArray(o.data.inputs)){let q=o.data.inputs,Q=Ype(q,E),B=XK(n,Q,i,t),F=B.filter(U=>U.exists),V=B.filter(U=>!U.exists);if(F.length>0){T=F.map(U=>U.resolvedPath.startsWith(`${i}/`)?U.resolvedPath.slice(i.length+1):U.resolvedPath);for(let U of F){let M=U.resolvedPath.startsWith(`${i}/`)?U.resolvedPath.slice(i.length+1):U.resolvedPath;_.push(`- **${U.stage}/${U.artifactName}** (${U.kind}) \u2014 \`${M}\``)}}V.length>0&&y.push(`## \u26A0 Missing Upstream Artifacts
 
 The following inputs are declared but do not exist on disk:
 
-${q.map(U=>`- **${U.stage}/${U.artifactName}** (${U.kind}) \u2014 expected at \`${U.resolvedPath}\``).join(`
+${V.map(U=>`- **${U.stage}/${U.artifactName}** (${U.kind}) \u2014 expected at \`${U.resolvedPath}\``).join(`
 `)}
 
-These may not have been produced yet, or may have been saved to a different location. If they are critical for this stage, log a stage_revisit feedback at the producing stage via \`haiku_feedback { intent, stage: "<producing-stage>", title: "<missing artifact>", body: "<what's needed>", origin: "agent", resolution: "stage_revisit" }\` and call \`haiku_run_next\` \u2014 the pre-tick gate routes the rewind.`)}let A=[];{let B=b,X=B.indexOf(s),G=X>0?B.slice(0,X):[];for(let M of G){let q=`.haiku/intents/${t}/stages/${M}`;A.push(`- **${M}**`,`  - knowledge / discovery: \`${q}/knowledge/\``,`  - unit specs: \`${q}/units/unit-*.md\``,`  - stage outputs: any files under \`${q}/\` outside \`units/\` (\`.md\` reports, \`artifacts/\`)`,`  - resolved feedback: \`${q}/feedback/*.md\``)}}if(_.length>0||A.length>0){let B=[KJn];_.length>0&&(B.push("","### Declared Inputs (from STAGE.md)"),B.push("",..._)),A.length>0&&B.push("",ZJn,"",...A,"",YJn),g.push(B.join(`
-`)),T.length>0&&g.push(`## Unit Inputs Requirement (MANDATORY)
+These may not have been produced yet, or may have been saved to a different location. If they are critical for this stage, log a stage_revisit feedback at the producing stage via \`haiku_feedback { intent, stage: "<producing-stage>", title: "<missing artifact>", body: "<what's needed>", origin: "agent", resolution: "stage_revisit" }\` and call \`haiku_run_next\` \u2014 the pre-tick gate routes the rewind.`)}let R=[];{let q=E,Q=q.indexOf(s),B=Q>0?q.slice(0,Q):[];for(let F of B){let V=`.haiku/intents/${t}/stages/${F}`;R.push(`- **${F}**`,`  - knowledge / discovery: \`${V}/knowledge/\``,`  - unit specs: \`${V}/units/unit-*.md\``,`  - stage outputs: any files under \`${V}/\` outside \`units/\` (\`.md\` reports, \`artifacts/\`)`,`  - resolved feedback: \`${V}/feedback/*.md\``)}}if(_.length>0||R.length>0){let q=[xJn];_.length>0&&(q.push("","### Declared Inputs (from STAGE.md)"),q.push("",..._)),R.length>0&&q.push("",OJn,"",...R,"",PJn),y.push(q.join(`
+`)),T.length>0&&y.push(`## Unit Inputs Requirement (MANDATORY)
 
 Every unit **MUST** have a non-empty \`inputs:\` field in its frontmatter. At minimum, every unit should reference the intent document and discovery docs. Units will be **blocked from execution** if \`inputs:\` is empty.
 
 Available upstream artifacts:
 \`\`\`yaml
 inputs:
-${T.map(X=>`  - ${X}`).join(`
+${T.map(Q=>`  - ${Q}`).join(`
 `)}
 \`\`\`
-Include all inputs relevant to the unit's scope. Frontend/UI units should reference design artifacts. Backend units should reference behavioral specs and data contracts.`)}{let B=no(n,s).filter(X=>X.kind==="discovery"&&X.scope==="project"&&X.location).map(X=>({name:X.name,rel:X.location.replace(/\{intent-slug\}/g,t)})).filter(X=>zg($c(process.cwd(),X.rel))).sort((X,G)=>X.name.localeCompare(G.name));if(B.length>0){let X=B.map(G=>`- **${G.name}** \u2014 \`${G.rel}\``).join(`
-`);g.push(`## Long-Lived Repo Knowledge (read as prior)
+Include all inputs relevant to the unit's scope. Frontend/UI units should reference design artifacts. Backend units should reference behavioral specs and data contracts.`)}{let q=no(n,s).filter(Q=>Q.kind==="discovery"&&Q.scope==="project"&&Q.location).map(Q=>({name:Q.name,rel:Q.location.replace(/\{intent-slug\}/g,t)})).filter(Q=>Vg(tu(process.cwd(),Q.rel))).sort((Q,B)=>Q.name.localeCompare(B.name));if(q.length>0){let Q=q.map(B=>`- **${B.name}** \u2014 \`${B.rel}\``).join(`
+`);y.push(`## Long-Lived Repo Knowledge (read as prior)
 
 This project carries knowledge that persists across intents (\`scope: project\`). It already exists on disk \u2014 read it FIRST as your starting point so you build on what the project already established instead of rediscovering or reinventing it:
 
-${X}
+${Q}
 
-These are priors, not gospel. The research and work this intent requires may confirm or contradict them. If your work shows a prior has diverged from the codebase's current reality (a value moved, a pattern changed, a component was removed), update it in place during this stage \u2014 preserve what still holds, correct what doesn't. If it still holds, leave it untouched. When a unit builds on one of these, list its path in that unit's \`inputs:\` so the downstream hat reads the same prior.`)}}let R=[];{let B=new Set;for(let X of[...Nu()].reverse()){let G=$c(X,n,"stages",s,"discovery");if(zg(G))for(let M of qJn(G).filter(q=>q.endsWith(".md"))){if(B.has(M))continue;B.add(M);let q=$c(G,M),U=DRt(q,"utf8"),{data:D}=re(U),H=D.location,j=typeof H=="string"?H.replace(/\{intent-slug\}/g,t):H,W=null;typeof j=="string"&&j.length>0&&(j.startsWith(".haiku/")?W=$c(process.cwd(),j):j.startsWith("/")?W=j:W=$c(i,j)),R.push({name:M.replace(/\.md$/i,"").toLowerCase(),templatePath:q,outputPath:W})}}}let x=$c(i,"knowledge");for(let B of R){if(!B.outputPath||zg(B.outputPath))continue;let X=`${B.name.toUpperCase()}.md`,G=$c(x,X);if(G!==B.outputPath&&zg(G))try{HJn(GJn(B.outputPath),{recursive:!0}),BJn(G,B.outputPath),console.error(`[haiku] Relocated misplaced discovery artifact: '${G}' \u2192 '${B.outputPath}' (template '${B.name}' declares ${B.outputPath}). Clears the cursor re-emission wedge from pre-2026-05-13 engine versions.`)}catch(M){console.error(`[haiku] Could not relocate '${G}' to '${B.outputPath}': ${M instanceof Error?M.message:String(M)}. Discovery will continue to re-emit until the file is moved manually.`)}}let k=R.filter(B=>{if(B.outputPath)return!zg(B.outputPath);let X=$c(x,`${B.name.toUpperCase()}.md`);return!zg(X)});if(k.length>0){let B=k.map(H=>`\`${H.name}\``).join(", "),X=k.length!==1?"s":"",G=kr({resolveBody:()=>Wh(t),toolName:"haiku_read_intent",toolArgs:{intent:t},intent:t,stage:s,kind:"intent-goal",name:"intent"}),M=kr({resolveBody:()=>Mh(n,s),toolName:"haiku_read_stage",toolArgs:{studio:n,stage:s},intent:t,stage:s,kind:"stage-scope",name:s}),q=`## Discovery Fan-Out (REQUIRED)
+These are priors, not gospel. The research and work this intent requires may confirm or contradict them. If your work shows a prior has diverged from the codebase's current reality (a value moved, a pattern changed, a component was removed), update it in place during this stage \u2014 preserve what still holds, correct what doesn't. If it still holds, leave it untouched. When a unit builds on one of these, list its path in that unit's \`inputs:\` so the downstream hat reads the same prior.`)}}let A=[];{let q=new Set;for(let Q of[...Mu()].reverse()){let B=tu(Q,n,"stages",s,"discovery");if(Vg(B))for(let F of vJn(B).filter(V=>V.endsWith(".md"))){if(q.has(F))continue;q.add(F);let V=tu(B,F),U=ewt(V,"utf8"),{data:M}=re(U),H=M.location,j=typeof H=="string"?H.replace(/\{intent-slug\}/g,t):H,Y=null;typeof j=="string"&&j.length>0&&(j.startsWith(".haiku/")?Y=tu(process.cwd(),j):j.startsWith("/")?Y=j:Y=tu(i,j)),A.push({name:F.replace(/\.md$/i,"").toLowerCase(),templatePath:V,outputPath:Y})}}}let x=tu(i,"knowledge");for(let q of A){if(!q.outputPath||Vg(q.outputPath))continue;let Q=`${q.name.toUpperCase()}.md`,B=tu(x,Q);if(B!==q.outputPath&&Vg(B))try{TJn(AJn(q.outputPath),{recursive:!0}),RJn(B,q.outputPath),console.error(`[haiku] Relocated misplaced discovery artifact: '${B}' \u2192 '${q.outputPath}' (template '${q.name}' declares ${q.outputPath}). Clears the cursor re-emission wedge from pre-2026-05-13 engine versions.`)}catch(F){console.error(`[haiku] Could not relocate '${B}' to '${q.outputPath}': ${F instanceof Error?F.message:String(F)}. Discovery will continue to re-emit until the file is moved manually.`)}}let k=A.filter(q=>{if(q.outputPath)return!Vg(q.outputPath);let Q=tu(x,`${q.name.toUpperCase()}.md`);return!Vg(Q)});if(k.length>0){let q=k.map(H=>`\`${H.name}\``).join(", "),Q=k.length!==1?"s":"",B=kr({resolveBody:()=>Kh(t),toolName:"haiku_read_intent",toolArgs:{intent:t},intent:t,stage:s,kind:"intent-goal",name:"intent"}),F=kr({resolveBody:()=>Dh(n,s),toolName:"haiku_read_stage",toolArgs:{studio:n,stage:s},intent:t,stage:s,kind:"stage-scope",name:s}),V=`## Discovery Fan-Out (REQUIRED)
 
-This stage produces ${k.length} discovery artifact${X}: ${B}.
+This stage produces ${k.length} discovery artifact${Q}: ${q}.
 
-${Es("workflow-contracts-announcement")}
+${bs("workflow-contracts-announcement")}
 
 **Spawn one subagent per artifact** using the \`prompt_file\` attribute on each \`<subagent>\` block \u2014 pass \`"Read <prompt_file> and execute its instructions exactly."\` as the spawn prompt (substituting the attribute's path). Each subagent writes inside its own isolation worktree, then calls \`haiku_discovery_complete { intent, stage, template }\` to hand the merge-back over to the engine (which takes a per-stage lock so parallel siblings serialize cleanly).
 
-${LI(k.length,"discovery subagents",{forceForeground:c})}
+${FI(k.length,"discovery subagents",{forceForeground:c})}
 
-`;for(let H of k){let j=hpe(t,s,H.name),W=j?H.outputPath?H.outputPath.startsWith(i)?$c(j,".haiku","intents",t,H.outputPath.slice(i.length+1)):H.outputPath.startsWith(process.cwd())?$c(j,H.outputPath.slice(process.cwd().length+1)):H.outputPath:$c(j,".haiku","intents",t,"knowledge",`${H.name.toUpperCase()}.md`):null,ee=kr({resolveBody:()=>EI(n,s,H.name),toolName:"haiku_read_discovery",toolArgs:{studio:n,stage:s,template:H.name},intent:t,stage:s,kind:"discovery-template",name:H.name}),ie=fx.renderString(rXn,{artifactName:H.name,slug:t,stage:s,studio:n,worktree:j,branchName:j?kI(t,s,H.name):"",expectedArtifactPath:W,intentRef:G,stageRef:M,templateRef:ee}),Me=Du({mandatePath:H.templatePath,studio:n,stage:s});q+=`${Ti({unit:"discovery",hat:H.name,bolt:1,intent:t,stage:s,agentType:"general-purpose",model:Me,promptBody:ie,heading:`### Subagent: \`${H.name}\``,forceForeground:c,omitBolt:!0})}
+`;for(let H of k){let j=wpe(t,s,H.name),Y=j?H.outputPath?H.outputPath.startsWith(i)?tu(j,".haiku","intents",t,H.outputPath.slice(i.length+1)):H.outputPath.startsWith(process.cwd())?tu(j,H.outputPath.slice(process.cwd().length+1)):H.outputPath:tu(j,".haiku","intents",t,"knowledge",`${H.name.toUpperCase()}.md`):null,ee=kr({resolveBody:()=>_I(n,s,H.name),toolName:"haiku_read_discovery",toolArgs:{studio:n,stage:s,template:H.name},intent:t,stage:s,kind:"discovery-template",name:H.name}),se=Sx.renderString(jJn,{artifactName:H.name,slug:t,stage:s,studio:n,worktree:j,branchName:j?xI(t,s,H.name):"",expectedArtifactPath:Y,intentRef:B,stageRef:F,templateRef:ee}),Le=ju({mandatePath:H.templatePath,studio:n,stage:s});V+=`${Ti({unit:"discovery",hat:H.name,bolt:1,intent:t,stage:s,agentType:"general-purpose",model:Le,promptBody:se,heading:`### Subagent: \`${H.name}\``,forceForeground:c,omitBolt:!0})}
 
-`}let U=Mi().subagents.backgroundSpawn&&!c?' Each `<subagent>` carries `background="true"` \u2014 pass `run_in_background: true` to the Task tool so the parent thread stays responsive while discovery agents run.':"",D=c?` **You are in autopilot mode \u2014 do NOT yield.** Spawn the subagents in the foreground (the \`<subagent>\` blocks above carry no \`background\` attribute) and wait for every one to return in this same response. The instant the last subagent returns, call \`haiku_run_next { intent: "${t}" }\` in the SAME response. The next tick emits the unit-decomposition instructions, which you also handle in-turn. Autopilot is a contiguous drive \u2014 pausing across turns defeats the mode.`:` When ALL subagents return, call \`haiku_run_next { intent: "${t}" }\` \u2014 the workflow engine merges their isolation worktrees back into the stage branch (resolving conflicts via the integrator if needed) and then emits the unit-decomposition instructions. **Do NOT proceed to decomposition in this response** \u2014 wait for the next workflow tick so the merged knowledge artifacts are visible.`;return q+=`### Parent Instructions (do NOT include in subagent prompts)
+`}let U=Mi().subagents.backgroundSpawn&&!c?' Each `<subagent>` carries `background="true"` \u2014 pass `run_in_background: true` to the Task tool so the parent thread stays responsive while discovery agents run.':"",M=c?` **You are in autopilot mode \u2014 do NOT yield.** Spawn the subagents in the foreground (the \`<subagent>\` blocks above carry no \`background\` attribute) and wait for every one to return in this same response. The instant the last subagent returns, call \`haiku_run_next { intent: "${t}" }\` in the SAME response. The next tick emits the unit-decomposition instructions, which you also handle in-turn. Autopilot is a contiguous drive \u2014 pausing across turns defeats the mode.`:` When ALL subagents return, call \`haiku_run_next { intent: "${t}" }\` \u2014 the workflow engine merges their isolation worktrees back into the stage branch (resolving conflicts via the integrator if needed) and then emits the unit-decomposition instructions. **Do NOT proceed to decomposition in this response** \u2014 wait for the next workflow tick so the merged knowledge artifacts are visible.`;return V+=`### Parent Instructions (do NOT include in subagent prompts)
 
-Spawn each subagent above using the \`prompt_file\` attribute \u2014 pass \`"Read <prompt_file> and execute its instructions exactly."\` as the spawn prompt (substituting the attribute's path). Do NOT include the \`<subagent>\` block body itself in the spawn prompt.${U}${D}`,g.push(q),y||g.push(Mf("discovery",{slug:t,stage:s})),g.join(`
+Spawn each subagent above using the \`prompt_file\` attribute \u2014 pass \`"Read <prompt_file> and execute its instructions exactly."\` as the spawn prompt (substituting the attribute's path). Do NOT include the \`<subagent>\` block body itself in the spawn prompt.${U}${M}`,y.push(V),g||y.push(Lf("discovery",{slug:t,stage:s})),y.join(`
 
-`)}let N=dx(n,s,`## Stage Output Expectations
+`)}let P=yx(n,s,`## Stage Output Expectations
 
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Engine-managed \u2014 agents never write `mode` directly; this tool is the only way to set or change it. Side effects: writes `mode` to intent.md; for non-quick modes also writes `stages` (the studio's full stage list). For quick mode, leaves `stages` empty so the workflow routes to select_stage next. Refuses transitions into or out of `quick` once the intent has started a stage.",inputSchema:h0},{name:"haiku_select_stage",description:"Select the single stage for a quick-mode intent. Uses elicitation to present the studio's stage list. Refuses if the intent's mode is not `quick` or if a stage is already set.",inputSchema:m0},{name:"haiku_drop_stage",description:"Drop an OPTIONAL stage from an intent's plan when the elaborate-loop offered a keep-or-drop decision and this intent doesn't need the stage. Removes it from the plan so the next haiku_run_next advances. Only the active, not-yet-started stage can be dropped (drop_stage_not_active / drop_stage_not_optional / drop_stage_already_started).",inputSchema:g0},{name:"haiku_intent_reset",description:"Reset an intent \u2014 preserves the description, deletes all state, and recreates the intent from scratch. Asks for confirmation via elicitation before proceeding.",inputSchema:{type:"object",properties:{intent:{type:"string",description:"Intent slug to reset"}},required:["intent"]}},{name:"haiku_stage_reset",description:"Reset ONE stage of an intent: wipe its units, outputs, artifacts, elaboration, feedback, and stage branch. The intent's other stages are untouched. Use after fixing the stage's hat instructions or studio config when the user wants the agent to re-run that stage cleanly. Requires user confirmation via the SPA picker.",inputSchema:d0},{name:"haiku_unit_reset",description:"Reset ONE unit back to pending: clear its iterations/reviews/approvals so it can be re-authored or re-run, and discard its worktree + branch (rolling its in-progress code back to the stage baseline). Sibling units and the stage branch are untouched. Use when a unit hits the bolt cap or its spec premise was wrong from the start \u2014 the recovery path the escalation message points to. Requires user confirmation via the SPA picker.",inputSchema:_0},{name:"haiku_intent_archive",description:"Archive an intent \u2014 sets the `archived: true` frontmatter flag so the intent is hidden from default list views. Reversible via haiku_intent_unarchive. Does not prompt for confirmation.",inputSchema:{type:"object",properties:{intent:{type:"string",description:"Intent slug to archive"}},required:["intent"]}},{name:"haiku_intent_unarchive",description:"Unarchive an intent \u2014 clears the `archived` frontmatter flag so the intent reappears in default list views. Reversible via haiku_intent_archive. Does not prompt for confirmation.",inputSchema:{type:"object",properties:{intent:{type:"string",description:"Intent slug to unarchive"}},required:["intent"]}},{name:"haiku_coverage_acknowledge",description:"Record a per-file decision for an upstream output that the current stage's units do not reference. Used to resolve a `coverage_review_required` action emitted by the pre-tick cumulative-input-coverage validator. Decisions persist to `stages/<stage>/coverage-decisions.json`. The decision MUST be either `out-of-scope` (with rationale explaining why this file is not relevant to the current stage's deliverables) or `covered-by-unit` (with the `unit` slug whose `inputs:` field already includes \u2014 or will include \u2014 the path; redundant for paths added via `haiku_unit_set` but useful when the agent wants to record reasoning). This tool does NOT advance the workflow; call `haiku_run_next` after acknowledging to re-run the validator.",inputSchema:{type:"object",properties:{intent_slug:{type:"string"},stage:{type:"string"},path:{type:"string"},decision:{type:"string",enum:["out-of-scope","covered-by-unit"]},rationale:{type:"string"},unit:{type:"string"}},required:["intent_slug","stage","path","decision","rationale"]}},{name:"haiku_debug",description:"ADMIN: bypass-the-FSM tools to unstick corrupt intents. Force a stage complete (signs all reviews/approvals/QGs for units that have moved through every hat), set an intent field (mode, etc.), reset drift (re-stamp witnesses), mutate any feedback frontmatter, or preview the next cursor head after edits. Every mutation requires SPA-picker confirmation \u2014 the agent cannot act unilaterally. Use only when the normal workflow can't recover (corrupt FM, stuck loop, lost stamps).",inputSchema:u0},{name:"haiku_dispatch_quality_gates",description:"Run a unit's declared quality_gates as the post-execute approval-track actor. On all-pass, stamps approvals.quality_gates on each unit. On failure, files an FB targeting the unit (origin: agent, target_invalidates: [quality_gates]). Engine-callable from the cursor's dispatch_quality_gates action.",inputSchema:{type:"object",properties:{intent:{type:"string",description:"Intent slug"},stage:{type:"string",description:"Stage name"},units:{type:"array",items:{type:"string"},description:"Unit names to run gates for (stage scope)"},scope:{type:"string",enum:["intent","stage"],description:"Which scope to run. Defaults to 'intent' when stage is empty, else 'stage'."}},required:["intent"]}},{name:"haiku_human_write",description:"Write a file to the intent's tracked surface as a human-attributed write. Use when a user explicitly instructs the agent to write a file on their behalf (e.g. 'save this config to knowledge/'). The file is written atomically, attributed to the human via an action-log entry, and appended to the write-audit log. The baseline is NOT updated \u2014 the next drift-gate tick detects the change and dispatches manual_change_assessment. Allowed destinations: knowledge/, stages/{stage}/knowledge/, stages/{stage}/discovery/, stages/{stage}/artifacts/ (or outputs/ alias). Workflow-managed files (units, feedback, intent.md, state.json) are refused.",inputSchema:{type:"object",properties:{intent_slug:{type:"string",description:"The slug of the active intent."},path:{type:"string",description:"Destination file path \u2014 intent-relative (e.g. knowledge/brand-guide.md) or absolute within the intent directory. Path is canonicalised (outputs/ \u2192 artifacts/) before validation."},content:{type:"string",description:"File content. UTF-8 string by default. Pass base64-encoded bytes and set content_encoding: 'base64' for binary files."},content_encoding:{type:"string",enum:["utf-8","base64"],description:"Encoding of the content field. Default: 'utf-8'."},claimed_author_id:{type:"string",description:"Self-reported identifier (username, email, UUID) of who the agent BELIEVES gave the instruction. Captured in the audit log as a CLAIM, not an authoritative identity \u2014 the server does not cross-check against any session or OS identity. Reviewers reading audit logs MUST treat this as 'what the agent said' rather than 'who did it'."},human_author_id:{type:"string",description:"DEPRECATED legacy alias for `claimed_author_id`. Accepted for backwards compatibility; mirrored to `claimed_author_id` on persistence. New callers MUST use `claimed_author_id`."},rationale:{type:"string",description:"Short free-text explanation of why the human requested this write. Strongly recommended. Required when the plugin setting human_write_require_rationale is true."},user_instruction_excerpt:{type:"string",description:"The user's instruction as it appeared in chat (first 200 chars). Captured in the audit log for security review. Self-reported by the agent."},overwrite:{type:"boolean",description:"Whether to overwrite the file if it already exists. Default: true. When false, returns path_already_exists if the destination exists."},create_dirs:{type:"boolean",description:"Whether to create intermediate directories if they do not exist. Default: true. When false, returns parent_dir_missing if the parent directory is absent."}},required:["intent_slug","path","content"]}},{name:"haiku_intent_seal",description:"Stamp `verified_at` on intent.md frontmatter after the pre-intent substance verifier passes. The verifier subagent (dispatched via the cursor's pre-intent `elaborate_review` action) calls this on a pass; the outer agent must NOT call it directly. Stamps the verification timestamp and optional notes, freeing the cursor to walk into the first stage's elaborate gate. Idempotent (no-op when already verified). Lands on intent main, not a stage branch \u2014 the seal precedes any stage walk.",inputSchema:b0},{name:"haiku_stage_elaboration_record",description:"Capture the per-stage human-conversation outcome at `stages/<stage>/elaboration.md`. Call this when the conversation with the user has reached alignment for the active stage's `elaborate` action. The artifact's frontmatter records `recorded_at`; `verified_at` is stamped separately by the verifier subagent via `haiku_stage_elaboration_seal`. Overwrites any prior artifact (clearing a stale `verified_at`). Cursor stays at `elaborate_review` until the verifier seals the artifact.",inputSchema:y0},{name:"haiku_stage_elaboration_seal",description:"Stamp `verified_at` on the per-stage elaboration artifact's frontmatter. The verifier subagent (dispatched via the cursor's `elaborate_review` action) calls this on a pass; the outer agent must NOT call it directly. Stamps the verification timestamp and optional notes, freeing the cursor to advance past `elaborate_review`. Idempotent (no-op when already verified).",inputSchema:S0},{name:"haiku_stage_decompose_seal",description:"Stamp `decompose_verified_at` on the per-stage elaboration artifact's frontmatter (the 4th elaborate-loop completion signal per GOALS.md). The decompose-verifier subagent (dispatched via the cursor's `decompose_review` action) calls this on a pass; the outer agent must NOT call it directly. Stamps the verification timestamp and optional notes, freeing the cursor to advance past `decompose_review` into the execute phase. Idempotent (no-op when already verified).",inputSchema:E0},{name:"haiku_discovery_complete",description:"Discovery subagent's completion hand-off. Merges the discovery worktree's branch back into its stage branch under a per-stage lock. Call AFTER committing your artifact inside the isolation worktree. Returns `{ ok: true }` on clean merge, `discovery_merge_conflict` with `conflict_files` on a real conflict, `discovery_merge_failed` with the git error on other failures, `intent_not_found` when the intent dir is missing, `worktree_not_found` when the discovery worktree doesn't exist (already merged or never created).",inputSchema:l0},{name:"haiku_review_stamp",description:"Review/approval/intent-review subagent CLOSURE. Records your own `reviews.<role>` / `approvals.<role>` witness and returns a terminal ack \u2014 call this INSTEAD of `haiku_run_next` when you finish reviewing. `kind: review|approval` requires `stage`; `kind: intent_review` omits it. Returns `{ ok: true, stamped: [...], skipped: [...] }` (skipped = units you flagged with an open finding; they stay un-stamped so the cursor reroutes through them on close), or `{ ok: true, found: false }` when nothing was pending for your role (already stamped \u2014 clean no-op). Never walks the cursor and never returns a fix dispatch, so it can't trip the inter-tick loop guard.",inputSchema:f0},{name:"haiku_record_agent_write",description:"Record an agent_write entry in the intent's action log for a tracked-surface file the agent just wrote via the harness's Write/Edit tool. Use only on harnesses that don't fire PostToolUse hooks (i.e., NOT Claude Code \u2014 on CC, the `stamp-agent-write` hook does this automatically). The next drift-gate tick will silently absorb the change into the baseline so the agent isn't asked to classify its own deliberate writes. Tracked-surface paths: stages/<X>/{artifacts,outputs,knowledge,discovery}/... and intent-root knowledge/.... Workflow-managed paths (units/, feedback/, state.json, intent.md) and paths outside the intent dir don't need (and won't get) a stamp.",inputSchema:{type:"object",properties:{intent_slug:{type:"string",description:"Slug of the intent that owns the file you just wrote."},path:{type:"string",description:"Path of the file you just wrote. Either intent-relative (e.g. stages/design/artifacts/spec.md) or absolute. The tool resolves it against the intent dir and verifies it falls inside the drift-tracked surface before stamping."}},required:["intent_slug","path"]}}]});import{existsSync as h7n,readFileSync as m7n,writeFileSync as g7n}from"node:fs";import{join as y7n}from"node:path";function E7n(e){let t=fc(),n=y7n(e.intentDir,"intent.md");if(!h7n(n))return t;let r=m7n(n,"utf8"),i=(0,Sbe.default)(r),s=i.data;return(typeof s.plugin_version=="string"?s.plugin_version:"")===Ebe||(s.plugin_version=Ebe,g7n(n,Sbe.default.stringify(i.content,s)),t.intent_md_migrated=!0),t}var Sbe,S7n,Ebe,zwt=v(()=>{"use strict";Sbe=Se(Xt(),1);Nh();S7n="4.0.0",Ebe="5.0.0";xu(S7n,Ebe,E7n)});import{existsSync as b7n,readFileSync as _7n,writeFileSync as T7n}from"node:fs";import{join as v7n}from"node:path";function R7n(e){let t=fc(),n=v7n(e.intentDir,"intent.md");if(!b7n(n))return t;let r=_7n(n,"utf8"),i=(0,bbe.default)(r),s=i.data;return(typeof 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t}var Cv,P7n,Abe,Kwt=v(()=>{"use strict";Cv=Se(Xt(),1);Nh();P7n="7.0.0",Abe="8.0.0";xu(P7n,Abe,U7n)});import{existsSync as Mv,readdirSync as q1,readFileSync as Ibe,rmSync as Zwt,statSync as F7n,writeFileSync as xbe}from"node:fs";import{join as La}from"node:path";function Ywt(e){let t=e.iterations;if(!Array.isArray(t))return 0;let n=0;for(let r of t){if(!r||typeof r!="object"||Array.isArray(r))continue;let i=r;typeof i.reason=="string"&&(i.message===void 0&&i.reason.length>0&&(i.message=i.reason),delete i.reason,n++)}return n}function H7n(e,t,n,r){let i=Ibe(e,"utf8"),s=(0,Dv.default)(i),o=s.data,a=!1,c=Array.isArray(o.inputs)?o.inputs:[],u=o.reviews;if(u&&typeof u=="object"&&!Array.isArray(u)){let f=u;for(let[,p]of Object.entries(f)){if(!p||typeof p!="object"||Array.isArray(p))continue;let h=p;if(typeof h.at!="string"||h.at.length===0||h.input_witnesses!==void 0)continue;let m=S9({intentDir:t,repoRoot:n,unitInputs:c});h.input_witnesses=m,r.review_slots_backfilled++,a=!0}}let 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r=JSON.parse(nQn(n,"utf8")),i=r.updated_at??r.first_seen;return!i||Date.now()-new Date(i).getTime()>akt?void 0:(mx.set(e,r),r)}catch{return}}function sQn(e,t){mx.set(e,t);try{rQn(II(e,ikt),JSON.stringify(t),"utf8"),iQn.add(e)}catch{}}function cQn(){if(mx.size<100)return;let e=Date.now();for(let[t,n]of mx)e-new Date(n.first_seen).getTime()>akt&&mx.delete(t)}function ckt(e){if(!e)return"null";let t=e.dispatches,n=Array.isArray(t)?t.map(a=>{let c=a??{};return`${c.feedback_id??""}:${c.hat??""}`}).sort().join(","):null,r=e.units,i=Array.isArray(r)?[...r].map(a=>String(a)).sort().join(","):null,s=e.signals_unmet,o=Array.isArray(s)?s.map(a=>{let c=a??{};return c.agent?`${c.signal??""}:${c.agent}`:`${c.signal??""}`}).sort().join(","):null;return JSON.stringify({action:e.action??null,stage:e.stage??null,unit:e.unit??null,feedback_id:e.feedback_id??null,role:e.role??null,hat:e.hat??null,fb_batch:n,unit_batch:i,signals:o})}function ukt(e,t){if(Mbe(t))return;let n=ckt(t),r=new Date().toISOString(),i=skt(e),s=typeof t=="object"&&t!==null&&t.action==="loop_halted",o;if(i&&i.signature===n){let a=i.count+1,c=s?i.recent:[...i.recent,n].slice(-Cbe);o={signature:n,count:a,first_seen:i.first_seen,updated_at:r,recent:c,churn_fired:i.churn_fired},a===oQn&&Ke("haiku.deadlock.suspected",{intent:e,signature:n,consecutive_ticks:String(a),first_seen:i.first_seen})}else if(i){let a=s?i.recent:[...i.recent,n].slice(-Cbe),c=i.recent.includes(n);o={signature:n,count:1,first_seen:i.first_seen,updated_at:r,recent:a,churn_fired:c?i.churn_fired:!1};let u=lkt(a);if(!o.churn_fired&&u.length>=nkt){let l=u.slice(-nkt),d=new Set(l);d.size<=okt&&d.size>1&&(Ke("haiku.deadlock.churn_suspected",{intent:e,recent_signatures:l.join(" | "),distinct_count:String(d.size),window_size:String(l.length),first_seen:i.first_seen}),o.churn_fired=!0)}}else o={signature:n,count:1,first_seen:r,updated_at:r,recent:s?[]:[n],churn_fired:!1};sQn(e,o),cQn()}function Mbe(e){if(!e||typeof e!="object")return!1;let t=e.action;return typeof t!="string"?!1:!!(uQn.has(t)||t==="intent_review"&&e.role==="user")}function lQn(e){try{return Mbe(JSON.parse(e))}catch{return!1}}function lkt(e){return e.filter(t=>!lQn(t))}function dkt(e,t){if(Mbe(t))return null;let n=ckt(t),r=skt(e);if(!r)return null;if(r.signature===n&&r.count+1>=aQn)return{kind:"repeat",count:r.count+1,signature:n};let i=lkt([...r.recent,n].slice(-Cbe));if(i.length>=rkt){let s=i.slice(-rkt),o=new Set(s);if(o.size<=okt&&o.size>1)return{kind:"churn",distinct:o.size,window:s.length}}return null}function fkt(e,t){Ke("haiku.deadlock.halted",{intent:e,loop:t.kind,...t.kind==="repeat"?{signature:t.signature,consecutive_ticks:String(t.count)}:{distinct:String(t.distinct),window:String(t.window)}});let n=t.kind==="repeat"?`The engine emitted the SAME action signature ${t.count} consecutive times for intent '${e}' with no on-disk progress between ticks. 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+`),a=[...new Set(i.flatMap(c=>c.units))];return IEe.renderString(BXn,{slug:e,stage:r,dispatches:i,dispatchCount:i.length,role:i[0]?.role??"",units:a,unitCount:a.length,isEngineRole:s[0]?.isEngineRole??!1,dispatchBlock:o})}});var tkt,WXn,KXn,nkt,rkt=v(()=>{"use strict";gt();ts();ht();Rt();tkt=new _e({autoEscape:!1,useWith:!0}),WXn=ie("@canon:stage/review/write_brief"),KXn=ie("@canon:stage/review/write_brief","subagent.eta.md"),nkt=({slug:e,action:t})=>{let n=t.stage||"",r=tkt.renderString(KXn,{slug:e,stage:n}),i=Ti({unit:"brief",hat:"brief",bolt:1,intent:e,stage:n||void 0,agentType:"general-purpose",promptBody:r,heading:`### Subagent: stage brief (\`${n}\`)`,omitBolt:!0});return tkt.renderString(WXn,{slug:e,stage:n,dispatchBlock:i})}});var YXn,ZXn,ikt,skt=v(()=>{"use strict";gt();Kn();ht();Rt();YXn=new _e({autoEscape:!1,useWith:!0}),ZXn=ie("@canon:stage/start_stage"),ikt=({slug:e,studio:t,action:n})=>{let r=n.stage,i=n.hats||[],s=$i(t,r),o=Nd(t);return YXn.renderString(ZXn,{slug:e,studio:t,stage:r,hats:i,studioBody:o?.body||"",stageBody:s?.body||"",follows:n.follows||"",parentKnowledgeJson:JSON.stringify(n.parent_knowledge)})}});var okt,akt=v(()=>{"use strict";LRt();FRt();HRt();BRt();VRt();YRt();$Rt();tAt();rAt();sAt();aAt();uAt();dAt();pAt();gAt();SAt();EAt();vAt();AAt();kAt();xAt();NAt();MAt();LAt();FAt();HAt();BAt();mwt();ywt();bwt();_wt();vwt();Awt();kwt();xwt();Pwt();Cwt();Dwt();Uwt();jwt();qwt();zwt();Vwt();Ywt();Jwt();Qwt();ekt();rkt();skt();okt=new Map([["start_stage",ikt],["elaborate_loop",hwt],["start_unit",Kwt],["start_unit_hat",Zwt],["dispatch_review",$wt],["write_brief",nkt],["dispatch_approval",PAt],["dispatch_quality_gates",CAt],["user_gate",Xwt],["advance_phase",DAt],["advance_stage",UAt],["complete_stage",jAt],["record_observations",qAt],["record_reflection",oAt],["blocked",gwt],["coverage_review_required",Swt],["dag_cycle_detected",Ewt],["discovery_missing",Twt],["elaboration_insufficient",Rwt],["escalate",wwt],["gate_blocked",Iwt],["output_liveness_review_required",Owt],["outputs_missing",Nwt],["save_wip",Mwt],["unit_inputs_missing",Lwt],["unit_inputs_not_declared",Fwt],["unit_naming_invalid",Hwt],["unit_outputs_empty_iterations",Bwt],["unresolved_dependencies",Gwt],["migrated",wAt],["select_studio",IAt],["intent_review",mAt],["intent_approved",yAt],["intent_complete",bAt],["seal_intent",RAt],["pending_seal",TAt],["external_review_requested",cAt],["revise_unit_specs",lAt],["safe_intent_repair",fAt],["changes_requested",DRt],["close_feedback",URt],["feedback_question",jRt],["fix_quality_gates",qRt],["intent_completion_fix",GRt],["review_fix",KRt],["start_feedback_hat",QRt],["complete",eAt],["error",nAt],["loop_halted",iAt]])});var C6,ckt=v(()=>{"use strict";ji();uo();C6=[{name:"haiku_run_next",description:"Advance an intent through its lifecycle. The workflow engine reads state, determines the next action, performs the state mutation (start stage, advance phase, complete stage, etc.), and returns the action to the agent. The agent follows the returned action \u2014 it never mutates stage or intent state directly. When `intent` is omitted, the workflow engine auto-resolves it from the current git branch (`haiku/<slug>/main` or `haiku/<slug>/<stage>`) \u2014 lets pickup/revisit skills be thin one-line redirects without asking the user to pick an intent the checkout already names. If omitted and no branch match exists, falls back to the single active intent; errors when zero or multiple active intents are present.",inputSchema:{type:"object",properties:{intent:{type:"string",description:"Intent slug. Omit to auto-resolve from the current git branch or the sole active intent."},external_review_url:{type:"string",description:"URL where stage was submitted for external review"},state_file:{type:"string",description:"Override path to the engine state file (testing / foreign callers). Omit in normal use."},pickup:{type:"boolean",description:"Set true when invoked from /haiku:haiku-pickup. The engine fetches origin and materializes the active stage branch locally so the user can `git switch` into in-flight work, then appends a pickup hint to the response."}}}},{name:"haiku_await_gate",description:"Block on a pending gate-review session for an intent until the user approves, requests changes, or the wait times out (30 min). Pair with `haiku_run_next`: when run_next returns a `gate_review` action, post the included `review_url` to the user (essential for headless / SSH / web-client / mobile / remote-control setups where the MCP host can't auto-open the user's browser), then call this tool to wait for their decision. Opens the review URL in the default browser best-effort by default; pass `auto_open: false` to skip the browser launch. Returns the resulting orchestrator action (advance_stage / changes_requested / external_review_requested / etc.).",inputSchema:l0},{name:"haiku_intent_create",description:'Create a new H\xB7AI\xB7K\xB7U intent. Studio, mode, and (for quick) stage are selected separately via the engine-controlled elicitation chain (haiku_select_studio \u2192 haiku_select_mode \u2192 optional haiku_select_stage). You must provide a crisp `title` (3\u20138 words, \u226480 chars, single line, no trailing punctuation \u2014 e.g. "Add archivable intents"), a richer `description` (2\u20135 sentences covering scope, motivation, and constraints), AND `studio_candidates` \u2014 the 2\u20134 studios (from `haiku_studio_list`) that best fit, which pre-narrow the studio picker so the user is not scrolling the whole registry. The title is NOT derived from the description \u2014 write it deliberately as a human-readable summary. The agent never sets `mode` or `stages` \u2014 those flow through elicitation tools so the user picks them.',inputSchema:FL},{name:"haiku_select_studio",description:"Select or change the studio for an intent. Uses elicitation to present studio options. Cannot be used after the intent has entered any stage.",inputSchema:m0},{name:"haiku_select_mode",description:"Select an execution mode for an intent. Uses elicitation to present mode options. Engine-managed \u2014 agents never write `mode` directly; this tool is the only way to set or change it. Side effects: writes `mode` to intent.md; for non-quick modes also writes `stages` (the studio's full stage list). For quick mode, leaves `stages` empty so the workflow routes to select_stage next. Refuses transitions into or out of `quick` once the intent has started a stage.",inputSchema:g0},{name:"haiku_select_stage",description:"Select the single stage for a quick-mode intent. Uses elicitation to present the studio's stage list. Refuses if the intent's mode is not `quick` or if a stage is already set.",inputSchema:y0},{name:"haiku_drop_stage",description:"Drop an OPTIONAL stage from an intent's plan when the elaborate-loop offered a keep-or-drop decision and this intent doesn't need the stage. Removes it from the plan so the next haiku_run_next advances. Only the active, not-yet-started stage can be dropped (drop_stage_not_active / drop_stage_not_optional / drop_stage_already_started).",inputSchema:S0},{name:"haiku_intent_reset",description:"Reset an intent \u2014 preserves the description, deletes all state, and recreates the intent from scratch. Asks for confirmation via elicitation before proceeding.",inputSchema:{type:"object",properties:{intent:{type:"string",description:"Intent slug to reset"}},required:["intent"]}},{name:"haiku_stage_reset",description:"Reset ONE stage of an intent: wipe its units, outputs, artifacts, elaboration, feedback, and stage branch. The intent's other stages are untouched. Use after fixing the stage's hat instructions or studio config when the user wants the agent to re-run that stage cleanly. Requires user confirmation via the SPA picker.",inputSchema:p0},{name:"haiku_unit_reset",description:"Reset ONE unit back to pending: clear its iterations/reviews/approvals so it can be re-authored or re-run, and discard its worktree + branch (rolling its in-progress code back to the stage baseline). Sibling units and the stage branch are untouched. Use when a unit hits the bolt cap or its spec premise was wrong from the start \u2014 the recovery path the escalation message points to. Requires user confirmation via the SPA picker.",inputSchema:v0},{name:"haiku_intent_archive",description:"Archive an intent \u2014 sets the `archived: true` frontmatter flag so the intent is hidden from default list views. Reversible via haiku_intent_unarchive. Does not prompt for confirmation.",inputSchema:{type:"object",properties:{intent:{type:"string",description:"Intent slug to archive"}},required:["intent"]}},{name:"haiku_intent_unarchive",description:"Unarchive an intent \u2014 clears the `archived` frontmatter flag so the intent reappears in default list views. Reversible via haiku_intent_archive. Does not prompt for confirmation.",inputSchema:{type:"object",properties:{intent:{type:"string",description:"Intent slug to unarchive"}},required:["intent"]}},{name:"haiku_coverage_acknowledge",description:"Record a per-file decision for an upstream output that the current stage's units do not reference. Used to resolve a `coverage_review_required` action emitted by the pre-tick cumulative-input-coverage validator. Decisions persist to `stages/<stage>/coverage-decisions.json`. The decision MUST be either `out-of-scope` (with rationale explaining why this file is not relevant to the current stage's deliverables) or `covered-by-unit` (with the `unit` slug whose `inputs:` field already includes \u2014 or will include \u2014 the path; redundant for paths added via `haiku_unit_set` but useful when the agent wants to record reasoning). This tool does NOT advance the workflow; call `haiku_run_next` after acknowledging to re-run the validator.",inputSchema:{type:"object",properties:{intent_slug:{type:"string"},stage:{type:"string"},path:{type:"string"},decision:{type:"string",enum:["out-of-scope","covered-by-unit"]},rationale:{type:"string"},unit:{type:"string"}},required:["intent_slug","stage","path","decision","rationale"]}},{name:"haiku_debug",description:"ADMIN: bypass-the-FSM tools to unstick corrupt intents. Force a stage complete (signs all reviews/approvals/QGs for units that have moved through every hat), set an intent field (mode, etc.), reset drift (re-stamp witnesses), mutate any feedback frontmatter, or preview the next cursor head after edits. Every mutation requires SPA-picker confirmation \u2014 the agent cannot act unilaterally. Use only when the normal workflow can't recover (corrupt FM, stuck loop, lost stamps).",inputSchema:d0},{name:"haiku_dispatch_quality_gates",description:"Run a unit's declared quality_gates as the post-execute approval-track actor. On all-pass, stamps approvals.quality_gates on each unit. On failure, files an FB targeting the unit (origin: agent, target_invalidates: [quality_gates]). Engine-callable from the cursor's dispatch_quality_gates action.",inputSchema:{type:"object",properties:{intent:{type:"string",description:"Intent slug"},stage:{type:"string",description:"Stage name"},units:{type:"array",items:{type:"string"},description:"Unit names to run gates for (stage scope)"},scope:{type:"string",enum:["intent","stage"],description:"Which scope to run. Defaults to 'intent' when stage is empty, else 'stage'."}},required:["intent"]}},{name:"haiku_human_write",description:"Write a file to the intent's tracked surface as a human-attributed write. Use when a user explicitly instructs the agent to write a file on their behalf (e.g. 'save this config to knowledge/'). The file is written atomically, attributed to the human via an action-log entry, and appended to the write-audit log. The baseline is NOT updated \u2014 the next drift-gate tick detects the change and dispatches manual_change_assessment. Allowed destinations: knowledge/, stages/{stage}/knowledge/, stages/{stage}/discovery/, stages/{stage}/artifacts/ (or outputs/ alias). Workflow-managed files (units, feedback, intent.md, state.json) are refused.",inputSchema:{type:"object",properties:{intent_slug:{type:"string",description:"The slug of the active intent."},path:{type:"string",description:"Destination file path \u2014 intent-relative (e.g. knowledge/brand-guide.md) or absolute within the intent directory. Path is canonicalised (outputs/ \u2192 artifacts/) before validation."},content:{type:"string",description:"File content. UTF-8 string by default. Pass base64-encoded bytes and set content_encoding: 'base64' for binary files."},content_encoding:{type:"string",enum:["utf-8","base64"],description:"Encoding of the content field. Default: 'utf-8'."},claimed_author_id:{type:"string",description:"Self-reported identifier (username, email, UUID) of who the agent BELIEVES gave the instruction. Captured in the audit log as a CLAIM, not an authoritative identity \u2014 the server does not cross-check against any session or OS identity. Reviewers reading audit logs MUST treat this as 'what the agent said' rather than 'who did it'."},human_author_id:{type:"string",description:"DEPRECATED legacy alias for `claimed_author_id`. Accepted for backwards compatibility; mirrored to `claimed_author_id` on persistence. New callers MUST use `claimed_author_id`."},rationale:{type:"string",description:"Short free-text explanation of why the human requested this write. Strongly recommended. Required when the plugin setting human_write_require_rationale is true."},user_instruction_excerpt:{type:"string",description:"The user's instruction as it appeared in chat (first 200 chars). Captured in the audit log for security review. Self-reported by the agent."},overwrite:{type:"boolean",description:"Whether to overwrite the file if it already exists. Default: true. When false, returns path_already_exists if the destination exists."},create_dirs:{type:"boolean",description:"Whether to create intermediate directories if they do not exist. Default: true. When false, returns parent_dir_missing if the parent directory is absent."}},required:["intent_slug","path","content"]}},{name:"haiku_intent_seal",description:"Stamp `verified_at` on intent.md frontmatter after the pre-intent substance verifier passes. The verifier subagent (dispatched via the cursor's pre-intent `elaborate_review` action) calls this on a pass; the outer agent must NOT call it directly. Stamps the verification timestamp and optional notes, freeing the cursor to walk into the first stage's elaborate gate. Idempotent (no-op when already verified). Lands on intent main, not a stage branch \u2014 the seal precedes any stage walk.",inputSchema:T0},{name:"haiku_stage_elaboration_record",description:"Capture the per-stage human-conversation outcome at `stages/<stage>/elaboration.md`. Call this when the conversation with the user has reached alignment for the active stage's `elaborate` action. The artifact's frontmatter records `recorded_at`; `verified_at` is stamped separately by the verifier subagent via `haiku_stage_elaboration_seal`. Overwrites any prior artifact (clearing a stale `verified_at`). Cursor stays at `elaborate_review` until the verifier seals the artifact.",inputSchema:b0},{name:"haiku_stage_elaboration_seal",description:"Stamp `verified_at` on the per-stage elaboration artifact's frontmatter. The verifier subagent (dispatched via the cursor's `elaborate_review` action) calls this on a pass; the outer agent must NOT call it directly. Stamps the verification timestamp and optional notes, freeing the cursor to advance past `elaborate_review`. Idempotent (no-op when already verified).",inputSchema:E0},{name:"haiku_stage_decompose_seal",description:"Stamp `decompose_verified_at` on the per-stage elaboration artifact's frontmatter (the 4th elaborate-loop completion signal per GOALS.md). The decompose-verifier subagent (dispatched via the cursor's `decompose_review` action) calls this on a pass; the outer agent must NOT call it directly. Stamps the verification timestamp and optional notes, freeing the cursor to advance past `decompose_review` into the execute phase. Idempotent (no-op when already verified).",inputSchema:_0},{name:"haiku_discovery_complete",description:"Discovery subagent's completion hand-off. Merges the discovery worktree's branch back into its stage branch under a per-stage lock. Call AFTER committing your artifact inside the isolation worktree. Returns `{ ok: true }` on clean merge, `discovery_merge_conflict` with `conflict_files` on a real conflict, `discovery_merge_failed` with the git error on other failures, `intent_not_found` when the intent dir is missing, `worktree_not_found` when the discovery worktree doesn't exist (already merged or never created).",inputSchema:f0},{name:"haiku_review_stamp",description:"Review/approval/intent-review subagent CLOSURE. Records your own `reviews.<role>` / `approvals.<role>` witness and returns a terminal ack \u2014 call this INSTEAD of `haiku_run_next` when you finish reviewing. `kind: review|approval` requires `stage`; `kind: intent_review` omits it. Returns `{ ok: true, stamped: [...], skipped: [...] }` (skipped = units you flagged with an open finding; they stay un-stamped so the cursor reroutes through them on close), or `{ ok: true, found: false }` when nothing was pending for your role (already stamped \u2014 clean no-op). Never walks the cursor and never returns a fix dispatch, so it can't trip the inter-tick loop guard.",inputSchema:h0},{name:"haiku_record_agent_write",description:"Record an agent_write entry in the intent's action log for a tracked-surface file the agent just wrote via the harness's Write/Edit tool. Use only on harnesses that don't fire PostToolUse hooks (i.e., NOT Claude Code \u2014 on CC, the `stamp-agent-write` hook does this automatically). The next drift-gate tick will silently absorb the change into the baseline so the agent isn't asked to classify its own deliberate writes. Tracked-surface paths: stages/<X>/{artifacts,outputs,knowledge,discovery}/... and intent-root knowledge/.... Workflow-managed paths (units/, feedback/, state.json, intent.md) and paths outside the intent dir don't need (and won't get) a stamp.",inputSchema:{type:"object",properties:{intent_slug:{type:"string",description:"Slug of the intent that owns the file you just wrote."},path:{type:"string",description:"Path of the file you just wrote. Either intent-relative (e.g. stages/design/artifacts/spec.md) or absolute. The tool resolves it against the intent dir and verifies it falls inside the drift-tracked surface before stamping."}},required:["intent_slug","path"]}}]});import{existsSync as JXn,readFileSync as XXn,writeFileSync as QXn}from"node:fs";import{join as $Xn}from"node:path";function tQn(e){let t=hc(),n=$Xn(e.intentDir,"intent.md");if(!JXn(n))return t;let r=XXn(n,"utf8"),i=(0,xEe.default)(r),s=i.data;return(typeof s.plugin_version=="string"?s.plugin_version:"")===OEe||(s.plugin_version=OEe,QXn(n,xEe.default.stringify(i.content,s)),t.intent_md_migrated=!0),t}var xEe,eQn,OEe,ukt=v(()=>{"use strict";xEe=Re(Kt(),1);Nh();eQn="4.0.0",OEe="5.0.0";Nu(eQn,OEe,tQn)});import{existsSync as nQn,readFileSync as rQn,writeFileSync as iQn}from"node:fs";import{join as sQn}from"node:path";function aQn(e){let t=hc(),n=sQn(e.intentDir,"intent.md");if(!nQn(n))return t;let r=rQn(n,"utf8"),i=(0,PEe.default)(r),s=i.data;return(typeof s.plugin_version=="string"?s.plugin_version:"")===NEe||(s.plugin_version=NEe,iQn(n,PEe.default.stringify(i.content,s)),t.intent_md_migrated=!0),t}var PEe,oQn,NEe,lkt=v(()=>{"use strict";PEe=Re(Kt(),1);Nh();oQn="5.0.0",NEe="6.0.0";Nu(oQn,NEe,aQn)});import{existsSync as cQn,readFileSync as uQn,writeFileSync as lQn}from"node:fs";import{join as dQn}from"node:path";function pQn(e){let t=hc(),n=dQn(e.intentDir,"intent.md");if(!cQn(n))return t;let r=uQn(n,"utf8"),i=(0,CEe.default)(r),s=i.data;return(typeof s.plugin_version=="string"?s.plugin_version:"")===MEe||(s.plugin_version=MEe,lQn(n,CEe.default.stringify(i.content,s)),t.intent_md_migrated=!0),t}var CEe,fQn,MEe,dkt=v(()=>{"use strict";CEe=Re(Kt(),1);Nh();fQn="6.0.0",MEe="7.0.0";Nu(fQn,MEe,pQn)});import{existsSync as bx,readdirSync as M6,readFileSync as LEe,writeFileSync as UEe}from"node:fs";import{join as Kb}from"node:path";function mQn(e){let t=LEe(e,"utf8"),n=(0,Dv.default)(t),r=n.data,i=typeof r.status=="string"?r.status.trim().toLowerCase():"";if(!i)return{migrated:!1,closure_synthesized:!1};let o=(typeof r.created_at=="string"?r.created_at:"")||new Date(0).toISOString(),a=!1;switch(i){case"addressed":r.closed_at||(r.closed_at=o,a=!0),r.closed_by||(r.closed_by="feedback-assessor");break;case"answered":r.closed_at||(r.closed_at=o,a=!0),r.resolution||(r.resolution="answered");break;case"closed":r.closed_at||(r.closed_at=o,a=!0),r.closed_by||(r.closed_by="manual_close");break;case"rejected":r.rejected_at||(r.rejected_at=o,a=!0);break;default:break}return delete r.status,UEe(e,Dv.default.stringify(n.content,r)),{migrated:!0,closure_synthesized:a}}function gQn(e){let t=LEe(e,"utf8"),n=(0,Dv.default)(t),r=n.data;return r.status===void 0?!1:(delete r.status,UEe(e,Dv.default.stringify(n.content,r)),!0)}function yQn(e,t){let n=[],r=Kb(e,"feedback");bx(r)&&n.push(r);let i=Kb(e,"stages");if(bx(i))for(let s of M6(i,{withFileTypes:!0})){if(!s.isDirectory())continue;let o=Kb(i,s.name,"feedback");bx(o)&&n.push(o)}for(let s of n)for(let o of M6(s).filter(a=>a.endsWith(".md"))){let a=mQn(Kb(s,o));a.migrated&&(t.feedback_migrated++,a.closure_synthesized&&t.feedback_with_synthesized_closure++)}}function SQn(e,t){let n=Kb(e,"stages");if(bx(n))for(let r of M6(n,{withFileTypes:!0})){if(!r.isDirectory())continue;let i=Kb(n,r.name,"units");if(bx(i))for(let s of M6(i).filter(o=>o.endsWith(".md")))gQn(Kb(i,s))&&t.units_migrated++}}function bQn(e){let t=hc(),n={feedback_migrated:0,feedback_with_synthesized_closure:0,units_migrated:0};yQn(e.intentDir,n),SQn(e.intentDir,n),t.feedback_migrated=n.feedback_migrated,t.feedback_with_synthesized_closure=n.feedback_with_synthesized_closure,t.units_migrated=n.units_migrated;let r=Kb(e.intentDir,"intent.md");if(bx(r)){let i=LEe(r,"utf8"),s=(0,Dv.default)(i),o=s.data;(typeof o.plugin_version=="string"?o.plugin_version:"")!==DEe&&(o.plugin_version=DEe,UEe(r,Dv.default.stringify(s.content,o)),t.intent_md_migrated=!0)}return t}var Dv,hQn,DEe,fkt=v(()=>{"use strict";Dv=Re(Kt(),1);Nh();hQn="7.0.0",DEe="8.0.0";Nu(hQn,DEe,bQn)});import{existsSync as Lv,readdirSync as $1,readFileSync as jEe,rmSync as pkt,statSync as EQn,writeFileSync as HEe}from"node:fs";import{join as Fa}from"node:path";function hkt(e){let t=e.iterations;if(!Array.isArray(t))return 0;let n=0;for(let r of t){if(!r||typeof r!="object"||Array.isArray(r))continue;let i=r;typeof i.reason=="string"&&(i.message===void 0&&i.reason.length>0&&(i.message=i.reason),delete i.reason,n++)}return n}function TQn(e,t,n,r){let i=jEe(e,"utf8"),s=(0,Uv.default)(i),o=s.data,a=!1,c=Array.isArray(o.inputs)?o.inputs:[],u=o.reviews;if(u&&typeof u=="object"&&!Array.isArray(u)){let f=u;for(let[,p]of Object.entries(f)){if(!p||typeof p!="object"||Array.isArray(p))continue;let h=p;if(typeof h.at!="string"||h.at.length===0||h.input_witnesses!==void 0)continue;let m=NY({intentDir:t,repoRoot:n,unitInputs:c});h.input_witnesses=m,r.review_slots_backfilled++,a=!0}}let l=o.approvals;if(l&&typeof l=="object"&&!Array.isArray(l)){let f=l;for(let[,p]of Object.entries(f)){if(!p||typeof p!="object"||Array.isArray(p))continue;let h=p;h.witnesses!==void 0&&(delete h.witnesses,r.approval_slots_stripped++,a=!0)}}let d=hkt(o);return d>0&&(r.iterations_message_migrated+=d,a=!0),a?(HEe(e,Uv.default.stringify(s.content,o)),!0):!1}function vQn(e,t){let n=[Fa(e,"feedback")],r=Fa(e,"stages");if(Lv(r))for(let i of $1(r,{withFileTypes:!0}))i.isDirectory()&&n.push(Fa(r,i.name,"feedback"));for(let i of n)if(Lv(i))for(let s of $1(i).filter(o=>o.endsWith(".md"))){let o=Fa(i,s),a=jEe(o,"utf8"),c=(0,Uv.default)(a),u=c.data,l=hkt(u);l>0&&(t.iterations_message_migrated+=l,HEe(o,Uv.default.stringify(c.content,u)))}}function Ex(e,t){if(Lv(e))try{EQn(e).isDirectory()?pkt(e,{recursive:!0,force:!0}):pkt(e,{force:!0}),t.drift_artifacts_deleted++}catch{}}function RQn(e,t){Ex(Fa(e,"drift-markers.json"),t);let n=Fa(e,"stages");if(Lv(n))for(let r of 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s.skip_stages,a=!0),o===BEe&&!a||(s.plugin_version=BEe,xQn(n,qEe.default.stringify(i.content,s)),t.intent_md_migrated=!0),t}var qEe,PQn,BEe,gkt=v(()=>{"use strict";qEe=Re(Kt(),1);Nh();ns();PQn="9.0.0",BEe="10.0.0";Nu(PQn,BEe,NQn)});import{existsSync as ykt,readFileSync as CQn,renameSync as MQn,unlinkSync as DQn,writeFileSync as LQn}from"node:fs";function bkt(e,t){let n=OI(e,Skt),r=`${n}.tmp-${process.pid}-${Date.now()}`;try{let i={intent:e,action:t??null,at:new Date().toISOString()};LQn(r,JSON.stringify(i)),MQn(r,n)}catch{try{ykt(r)&&DQn(r)}catch{}}}function Ekt(e){try{let t=OI(e,Skt);if(!ykt(t))return null;let n=JSON.parse(CQn(t,"utf8"));return!n||typeof n!="object"||n.intent!==e?null:n}catch{return null}}var Skt,zEe=v(()=>{"use strict";vl();Skt="statusline.json"});import{existsSync as UQn,readFileSync as FQn,rmSync as Nwi,writeFileSync as jQn}from"node:fs";function Rkt(e){let t=_x.get(e);if(t)return t;try{let n=OI(e,vkt);if(!UQn(n))return;let r=JSON.parse(FQn(n,"utf8")),i=r.updated_at??r.first_seen;return!i||Date.now()-new Date(i).getTime()>wkt?void 0:(_x.set(e,r),r)}catch{return}}function qQn(e,t){_x.set(e,t);try{jQn(OI(e,vkt),JSON.stringify(t),"utf8"),HQn.add(e)}catch{}}function GQn(){if(_x.size<100)return;let e=Date.now();for(let[t,n]of _x)e-new Date(n.first_seen).getTime()>wkt&&_x.delete(t)}function kkt(e){if(!e)return"null";let t=e.dispatches,n=Array.isArray(t)?t.map(a=>{let c=a??{};return`${c.feedback_id??""}:${c.hat??""}`}).sort().join(","):null,r=e.units,i=Array.isArray(r)?[...r].map(a=>String(a)).sort().join(","):null,s=e.signals_unmet,o=Array.isArray(s)?s.map(a=>{let c=a??{};return c.agent?`${c.signal??""}:${c.agent}`:`${c.signal??""}`}).sort().join(","):null;return JSON.stringify({action:e.action??null,stage:e.stage??null,unit:e.unit??null,feedback_id:e.feedback_id??null,role:e.role??null,hat:e.hat??null,fb_batch:n,unit_batch:i,signals:o})}function Ikt(e,t){if(VEe(t))return;let n=kkt(t),r=new Date().toISOString(),i=Rkt(e),s=typeof t=="object"&&t!==null&&t.action==="loop_halted",o;if(i&&i.signature===n){let a=i.count+1,c=s?i.recent:[...i.recent,n].slice(-GEe);o={signature:n,count:a,first_seen:i.first_seen,updated_at:r,recent:c,churn_fired:i.churn_fired},a===BQn&&Ke("haiku.deadlock.suspected",{intent:e,signature:n,consecutive_ticks:String(a),first_seen:i.first_seen})}else if(i){let a=s?i.recent:[...i.recent,n].slice(-GEe),c=i.recent.includes(n);o={signature:n,count:1,first_seen:i.first_seen,updated_at:r,recent:a,churn_fired:c?i.churn_fired:!1};let u=xkt(a);if(!o.churn_fired&&u.length>=_kt){let l=u.slice(-_kt),d=new Set(l);d.size<=Akt&&d.size>1&&(Ke("haiku.deadlock.churn_suspected",{intent:e,recent_signatures:l.join(" | "),distinct_count:String(d.size),window_size:String(l.length),first_seen:i.first_seen}),o.churn_fired=!0)}}else o={signature:n,count:1,first_seen:r,updated_at:r,recent:s?[]:[n],churn_fired:!1};qQn(e,o),GQn()}function VEe(e){if(!e||typeof e!="object")return!1;let t=e.action;return typeof t!="string"?!1:!!(VQn.has(t)||t==="intent_review"&&e.role==="user")}function WQn(e){try{return VEe(JSON.parse(e))}catch{return!1}}function xkt(e){return e.filter(t=>!WQn(t))}function Okt(e,t){if(VEe(t))return null;let n=kkt(t),r=Rkt(e);if(!r)return null;if(r.signature===n&&r.count+1>=zQn)return{kind:"repeat",count:r.count+1,signature:n};let i=xkt([...r.recent,n].slice(-GEe));if(i.length>=Tkt){let s=i.slice(-Tkt),o=new Set(s);if(o.size<=Akt&&o.size>1)return{kind:"churn",distinct:o.size,window:s.length}}return null}function Pkt(e,t){Ke("haiku.deadlock.halted",{intent:e,loop:t.kind,...t.kind==="repeat"?{signature:t.signature,consecutive_ticks:String(t.count)}:{distinct:String(t.distinct),window:String(t.window)}});let n=t.kind==="repeat"?`The engine emitted the SAME action signature ${t.count} consecutive times for intent '${e}' with no on-disk progress between ticks. Signature: ${t.signature}.`:`The engine cycled through ${t.distinct} alternating action signatures across ${t.window} consecutive ticks for intent '${e}'. The classic A\u2194B churn wedge.`,i=t.kind==="repeat"&&t.signature.includes('"action":"elaborate_loop"')?`**Loop halted \u2014 the elaborate loop isn't advancing.** ${n}
 
 This is NOT a downstream wedge: the elaborate loop's unmet signal clears only when you change disk state, and re-ticking changed nothing. You re-ran \`haiku_run_next\` without doing the elaborate work.
 
@@ -1168,29 +1166,29 @@ The cursor was about to return the same action again. Repeating it would not pro
 1. Surface this halt to the user. Don't auto-recover.
 2. Identify what the cursor was waiting for (read the signature above).
 3. Either fix the underlying state (commit the missing artifact, sign the verifier, run \`/haiku:haiku-repair\`) or file a feedback explaining why the loop happened.
-4. Once the underlying state has changed, the next \`haiku_run_next\` tick will surface a different action and the loop guard will reset.`;return{action:"loop_halted",intent:e,message:i,loop:t.kind}}var mx,iQn,ikt,oQn,Cbe,nkt,okt,aQn,rkt,akt,uQn,pkt=v(()=>{"use strict";_l();To();mx=new Map,iQn=new Set,ikt=".deadlock-history.json";oQn=2,Cbe=10,nkt=4,okt=2,aQn=4,rkt=8,akt=3600*1e3;uQn=new Set(["user_gate","feedback_question","select_studio","select_mode","select_stage"])});import{existsSync as Dbe,readdirSync as dQn,readFileSync as hkt}from"node:fs";function mkt(e,t){if(!Re())return{action:null};let n=[];try{let o=`${pe(e)}/intent.md`;if(!Dbe(o))return{action:null};let a=re(hkt(o,"utf8")).data,c=[...wn(a,t),""];for(let u of c){let l=u||"intent",d=lo(e,u);if(Dbe(d))for(let f of dQn(d).filter(p=>p.endsWith(".md"))){let p;try{p=re(hkt(`${d}/${f}`,"utf8")).data}catch{continue}if(ep(p)!=="closed")continue;let 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+${i}`}var AIt=v(()=>{"use strict";r_e();Kd();Ge()});import{existsSync as wIt,mkdirSync as F$n,readdirSync as j$n,readFileSync as H$n,writeFileSync as q$n}from"node:fs";import{join as Yd}from"node:path";function iU(e){if(!wIt(e))return{};let t=H$n(e,"utf8"),{data:n}=re(t);return n}function rU(e,t,n){let r=pe(e),i=Yd(r,"intent.md");if(t==="intent_completion"||t==="intent_review"){let u=iU(i),l=u.approvals&&typeof u.approvals=="object"?u.approvals:{};l.user=Cl(i),Me(i,"approvals",l);return}let s=t==="elaborate_to_execute",o=s?"reviews":"approvals",a=Yd(r,"stages",n,"units");if(!wIt(a))return;let c=j$n(a);for(let u of c){if(!u.endsWith(".md"))continue;let l=Yd(a,u),d=iU(l),f=d[o]&&typeof d[o]=="object"?d[o]:{};if(s){let p=Array.isArray(d.inputs)?d.inputs:[];f.user=Cl(l,{intentDir:r,unitInputs:p})}else f.user=Bd();Me(l,o,f)}}var B$n,kIt,IIt=v(()=>{"use strict";yr();Xf();Kd();sh();l1();$c();ji();uo();oZ();Ge();zi();Hv();vIt();vs();AIt();B$n=(e,t)=>{};kIt={name:"haiku_await_gate",description:"Resume / recovery entry point for a pending gate-review session. 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File a bug.");let x=r.review_url,k=r.auto_open!==!1;s&&qi(s,{event:"haiku_await_gate_entered",intent:i,stage:S,session_id:b,auto_open:k});let P=N=>RIt(i,c,N);try{let N=f?["gate_review_session_id","gate_review_url","gate_review_context","gate_review_next_stage","gate_review_next_phase"]:l?[`gate_review_session_${l}`,`gate_review_url_${l}`,"gate_review_context","gate_review_next_stage","gate_review_next_phase"]:[];N.length>0&&Yh(o,N)}catch{}try{let N=await A(b,{autoOpen:k,reviewUrl:x,timeoutMs:144e5,signal:t}),C=gr(i,S);if(!C.ok)return Zb(i,S,C,"after review wait");if(s&&qi(s,{event:"gate_decision",intent:i,stage:S,decision:N.decision,feedback:N.feedback}),N.decision==="advance")return Xr(i,s),ye(P({action:"advance",intent:i,stage:S,message:Gn("User signaled advance. 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Do NOT ask the user a follow-up \u2014 the transition was already approved.`)};return ye(P(M))}if(T==="elaborate_to_execute"&&_){rU(i,"elaborate_to_execute",S),sU(i,S,_),Xr(i,s);let U={action:"advance_phase",intent:i,stage:S,from_phase:"elaborate",to_phase:_,message:Gn(`The user approved the specs for stage "${S}" \u2014 advancing to ${_}.`,`IMPORTANT: Call haiku_run_next { intent: "${i}" } immediately. Do NOT ask the user a follow-up \u2014 the transition was already approved.`)};return ye(P(U))}if(E){rU(i,"stage_gate",S),G6(i,S,E),Xr(i,s);let U={action:"advance_stage",intent:i,stage:S,next_stage:E,gate_outcome:"advanced",message:Gn(`The user approved stage "${S}" \u2014 advancing to "${E}".`,`IMPORTANT: Call haiku_run_next { intent: "${i}" } immediately. Do NOT summarize, do NOT say "want me to continue?" \u2014 the gate was already approved. Just call the tool.`)};return ye(P(U))}rU(i,"stage_gate",S),wx(i,S,"advanced"),Xr(i,s);let F=iU(Yd(pe(i),"intent.md")).studio||"",V=V6(i,F,Gn(`The user approved the final stage "${S}" \u2014 intent complete.`,"Report the completion summary to the user."));return ye(P(V))}if(N.decision==="external_review"){wx(i,S,"advanced"),Xr(i,s);let F;if(ve()){let{openStagePullRequest:U}=await Promise.resolve().then(()=>(yr(),ZD)),M=U({slug:i,stage:S});if(M.createdUrl){try{let H=Yd(pe(i),"intent.md");Me(H,"external_review_url",M.createdUrl)}catch{}F=Gn(`The user routed stage "${S}" to external review. The engine opened the MR for you: ${M.createdUrl}`,`Tell the user: "I opened the MR at ${M.createdUrl} \u2014 review and merge it when you're ready. Run /haiku:haiku-pickup after the merge to continue." 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 error: ${C}
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-`,1)[0],T;if(f=_,this.options.pedantic?(f=f.replace(this.rules.other.listReplaceNesting,"  "),T=f):T=f.replace(this.rules.other.tabCharGlobal,"    "),g.test(f)||E.test(f)||S.test(f)||b.test(f)||m.test(f)||y.test(f))break;if(T.search(this.rules.other.nonSpaceChar)>=h||!f.trim())l+=`
-`+T.slice(h);else{if(p||d.replace(this.rules.other.tabCharGlobal,"    ").search(this.rules.other.nonSpaceChar)>=4||g.test(d)||E.test(d)||y.test(d))break;l+=`
+`,e=e.substring(f.length+1),c=!0),!c){let m=this.rules.other.nextBulletRegex(h),g=this.rules.other.hrRegex(h),y=this.rules.other.fencesBeginRegex(h),b=this.rules.other.headingBeginRegex(h),S=this.rules.other.htmlBeginRegex(h),E=this.rules.other.blockquoteBeginRegex(h);for(;e;){let _=e.split(`
+`,1)[0],T;if(f=_,this.options.pedantic?(f=f.replace(this.rules.other.listReplaceNesting,"  "),T=f):T=f.replace(this.rules.other.tabCharGlobal,"    "),y.test(f)||b.test(f)||S.test(f)||E.test(f)||m.test(f)||g.test(f))break;if(T.search(this.rules.other.nonSpaceChar)>=h||!f.trim())l+=`
+`+T.slice(h);else{if(p||d.replace(this.rules.other.tabCharGlobal,"    ").search(this.rules.other.nonSpaceChar)>=4||y.test(d)||b.test(d)||g.test(d))break;l+=`
 `+f}p=!f.trim(),u+=_+`
-`,e=e.substring(_.length+1),d=T.slice(h)}}i.loose||(o?i.loose=!0:this.rules.other.doubleBlankLine.test(u)&&(o=!0)),i.items.push({type:"list_item",raw:u,task:!!this.options.gfm&&this.rules.other.listIsTask.test(l),loose:!1,text:l,tokens:[]}),i.raw+=u}let a=i.items.at(-1);if(a)a.raw=a.raw.trimEnd(),a.text=a.text.trimEnd();else return;i.raw=i.raw.trimEnd();for(let c of i.items){if(this.lexer.state.top=!1,c.tokens=this.lexer.blockTokens(c.text,[]),c.task){if(c.text=c.text.replace(this.rules.other.listReplaceTask,""),c.tokens[0]?.type==="text"||c.tokens[0]?.type==="paragraph"){c.tokens[0].raw=c.tokens[0].raw.replace(this.rules.other.listReplaceTask,""),c.tokens[0].text=c.tokens[0].text.replace(this.rules.other.listReplaceTask,"");for(let l=this.lexer.inlineQueue.length-1;l>=0;l--)if(this.rules.other.listIsTask.test(this.lexer.inlineQueue[l].src)){this.lexer.inlineQueue[l].src=this.lexer.inlineQueue[l].src.replace(this.rules.other.listReplaceTask,"");break}}let u=this.rules.other.listTaskCheckbox.exec(c.raw);if(u){let l={type:"checkbox",raw:u[0]+" ",checked:u[0]!=="[ ]"};c.checked=l.checked,i.loose?c.tokens[0]&&["paragraph","text"].includes(c.tokens[0].type)&&"tokens"in c.tokens[0]&&c.tokens[0].tokens?(c.tokens[0].raw=l.raw+c.tokens[0].raw,c.tokens[0].text=l.raw+c.tokens[0].text,c.tokens[0].tokens.unshift(l)):c.tokens.unshift({type:"paragraph",raw:l.raw,text:l.raw,tokens:[l]}):c.tokens.unshift(l)}}if(!i.loose){let u=c.tokens.filter(d=>d.type==="space"),l=u.length>0&&u.some(d=>this.rules.other.anyLine.test(d.raw));i.loose=l}}if(i.loose)for(let c of i.items){c.loose=!0;for(let u of c.tokens)u.type==="text"&&(u.type="paragraph")}return i}}html(e){let t=this.rules.block.html.exec(e);if(t)return{type:"html",block:!0,raw:t[0],pre:t[1]==="pre"||t[1]==="script"||t[1]==="style",text:t[0]}}def(e){let t=this.rules.block.def.exec(e);if(t){let n=t[1].toLowerCase().replace(this.rules.other.multipleSpaceGlobal," "),r=t[2]?t[2].replace(this.rules.other.hrefBrackets,"$1").replace(this.rules.inline.anyPunctuation,"$1"):"",i=t[3]?t[3].substring(1,t[3].length-1).replace(this.rules.inline.anyPunctuation,"$1"):t[3];return{type:"def",tag:n,raw:t[0],href:r,title:i}}}table(e){let t=this.rules.block.table.exec(e);if(!t||!this.rules.other.tableDelimiter.test(t[2]))return;let n=EIt(t[1]),r=t[2].replace(this.rules.other.tableAlignChars,"").split("|"),i=t[3]?.trim()?t[3].replace(this.rules.other.tableRowBlankLine,"").split(`
-`):[],s={type:"table",raw:t[0],header:[],align:[],rows:[]};if(n.length===r.length){for(let o of r)this.rules.other.tableAlignRight.test(o)?s.align.push("right"):this.rules.other.tableAlignCenter.test(o)?s.align.push("center"):this.rules.other.tableAlignLeft.test(o)?s.align.push("left"):s.align.push(null);for(let o=0;o<n.length;o++)s.header.push({text:n[o],tokens:this.lexer.inline(n[o]),header:!0,align:s.align[o]});for(let o of i)s.rows.push(EIt(o,s.header.length).map((a,c)=>({text:a,tokens:this.lexer.inline(a),header:!1,align:s.align[c]})));return s}}lheading(e){let t=this.rules.block.lheading.exec(e);if(t){let n=t[1].trim();return{type:"heading",raw:t[0],depth:t[2].charAt(0)==="="?1:2,text:n,tokens:this.lexer.inline(n)}}}paragraph(e){let t=this.rules.block.paragraph.exec(e);if(t){let n=t[1].charAt(t[1].length-1)===`
-`?t[1].slice(0,-1):t[1];return{type:"paragraph",raw:t[0],text:n,tokens:this.lexer.inline(n)}}}text(e){let t=this.rules.block.text.exec(e);if(t)return{type:"text",raw:t[0],text:t[0],tokens:this.lexer.inline(t[0])}}escape(e){let t=this.rules.inline.escape.exec(e);if(t)return{type:"escape",raw:t[0],text:t[1]}}tag(e){let t=this.rules.inline.tag.exec(e);if(t)return!this.lexer.state.inLink&&this.rules.other.startATag.test(t[0])?this.lexer.state.inLink=!0:this.lexer.state.inLink&&this.rules.other.endATag.test(t[0])&&(this.lexer.state.inLink=!1),!this.lexer.state.inRawBlock&&this.rules.other.startPreScriptTag.test(t[0])?this.lexer.state.inRawBlock=!0:this.lexer.state.inRawBlock&&this.rules.other.endPreScriptTag.test(t[0])&&(this.lexer.state.inRawBlock=!1),{type:"html",raw:t[0],inLink:this.lexer.state.inLink,inRawBlock:this.lexer.state.inRawBlock,block:!1,text:t[0]}}link(e){let t=this.rules.inline.link.exec(e);if(t){let n=t[2].trim();if(!this.options.pedantic&&this.rules.other.startAngleBracket.test(n)){if(!this.rules.other.endAngleBracket.test(n))return;let s=J1(n.slice(0,-1),"\\");if((n.length-s.length)%2===0)return}else{let s=X$n(t[2],"()");if(s===-2)return;if(s>-1){let o=(t[0].indexOf("!")===0?5:4)+t[1].length+s;t[2]=t[2].substring(0,s),t[0]=t[0].substring(0,o).trim(),t[3]=""}}let r=t[2],i="";if(this.options.pedantic){let s=this.rules.other.pedanticHrefTitle.exec(r);s&&(r=s[1],i=s[3])}else i=t[3]?t[3].slice(1,-1):"";return r=r.trim(),this.rules.other.startAngleBracket.test(r)&&(this.options.pedantic&&!this.rules.other.endAngleBracket.test(n)?r=r.slice(1):r=r.slice(1,-1)),bIt(t,{href:r&&r.replace(this.rules.inline.anyPunctuation,"$1"),title:i&&i.replace(this.rules.inline.anyPunctuation,"$1")},t[0],this.lexer,this.rules)}}reflink(e,t){let n;if((n=this.rules.inline.reflink.exec(e))||(n=this.rules.inline.nolink.exec(e))){let r=(n[2]||n[1]).replace(this.rules.other.multipleSpaceGlobal," "),i=t[r.toLowerCase()];if(!i){let s=n[0].charAt(0);return{type:"text",raw:s,text:s}}return bIt(n,i,n[0],this.lexer,this.rules)}}emStrong(e,t,n=""){let r=this.rules.inline.emStrongLDelim.exec(e);if(!(!r||!r[1]&&!r[2]&&!r[3]&&!r[4]||r[4]&&n.match(this.rules.other.unicodeAlphaNumeric))&&(!(r[1]||r[3])||!n||this.rules.inline.punctuation.exec(n))){let i=[...r[0]].length-1,s,o,a=i,c=0,u=r[0][0]==="*"?this.rules.inline.emStrongRDelimAst:this.rules.inline.emStrongRDelimUnd;for(u.lastIndex=0,t=t.slice(-1*e.length+i);(r=u.exec(t))!==null;){if(s=r[1]||r[2]||r[3]||r[4]||r[5]||r[6],!s)continue;if(o=[...s].length,r[3]||r[4]){a+=o;continue}else if((r[5]||r[6])&&i%3&&!((i+o)%3)){c+=o;continue}if(a-=o,a>0)continue;o=Math.min(o,o+a+c);let l=[...r[0]][0].length,d=e.slice(0,i+r.index+l+o);if(Math.min(i,o)%2){let p=d.slice(1,-1);return{type:"em",raw:d,text:p,tokens:this.lexer.inlineTokens(p)}}let f=d.slice(2,-2);return{type:"strong",raw:d,text:f,tokens:this.lexer.inlineTokens(f)}}}}codespan(e){let t=this.rules.inline.code.exec(e);if(t){let n=t[2].replace(this.rules.other.newLineCharGlobal," "),r=this.rules.other.nonSpaceChar.test(n),i=this.rules.other.startingSpaceChar.test(n)&&this.rules.other.endingSpaceChar.test(n);return r&&i&&(n=n.substring(1,n.length-1)),{type:"codespan",raw:t[0],text:n}}}br(e){let t=this.rules.inline.br.exec(e);if(t)return{type:"br",raw:t[0]}}del(e,t,n=""){let r=this.rules.inline.delLDelim.exec(e);if(r&&(!r[1]||!n||this.rules.inline.punctuation.exec(n))){let i=[...r[0]].length-1,s,o,a=i,c=this.rules.inline.delRDelim;for(c.lastIndex=0,t=t.slice(-1*e.length+i);(r=c.exec(t))!==null;){if(s=r[1]||r[2]||r[3]||r[4]||r[5]||r[6],!s||(o=[...s].length,o!==i))continue;if(r[3]||r[4]){a+=o;continue}if(a-=o,a>0)continue;o=Math.min(o,o+a);let u=[...r[0]][0].length,l=e.slice(0,i+r.index+u+o),d=l.slice(i,-i);return{type:"del",raw:l,text:d,tokens:this.lexer.inlineTokens(d)}}}}autolink(e){let t=this.rules.inline.autolink.exec(e);if(t){let n,r;return t[2]==="@"?(n=t[1],r="mailto:"+n):(n=t[1],r=n),{type:"link",raw:t[0],text:n,href:r,tokens:[{type:"text",raw:n,text:n}]}}}url(e){let t;if(t=this.rules.inline.url.exec(e)){let n,r;if(t[2]==="@")n=t[0],r="mailto:"+n;else{let i;do i=t[0],t[0]=this.rules.inline._backpedal.exec(t[0])?.[0]??"";while(i!==t[0]);n=t[0],t[1]==="www."?r="http://"+t[0]:r=t[0]}return{type:"link",raw:t[0],text:n,href:r,tokens:[{type:"text",raw:n,text:n}]}}}inlineText(e){let t=this.rules.inline.text.exec(e);if(t){let n=this.lexer.state.inRawBlock;return{type:"text",raw:t[0],text:t[0],escaped:n}}}},ap=class Jbe{tokens;options;state;inlineQueue;tokenizer;constructor(t){this.tokens=[],this.tokens.links=Object.create(null),this.options=t||qv,this.options.tokenizer=this.options.tokenizer||new C5,this.tokenizer=this.options.tokenizer,this.tokenizer.options=this.options,this.tokenizer.lexer=this,this.inlineQueue=[],this.state={inLink:!1,inRawBlock:!1,top:!0};let n={other:eu,block:N5.normal,inline:Y1.normal};this.options.pedantic?(n.block=N5.pedantic,n.inline=Y1.pedantic):this.options.gfm&&(n.block=N5.gfm,this.options.breaks?n.inline=Y1.breaks:n.inline=Y1.gfm),this.tokenizer.rules=n}static get rules(){return{block:N5,inline:Y1}}static lex(t,n){return new Jbe(n).lex(t)}static lexInline(t,n){return new Jbe(n).inlineTokens(t)}lex(t){t=t.replace(eu.carriageReturn,`
-`),this.blockTokens(t,this.tokens);for(let n=0;n<this.inlineQueue.length;n++){let r=this.inlineQueue[n];this.inlineTokens(r.src,r.tokens)}return this.inlineQueue=[],this.tokens}blockTokens(t,n=[],r=!1){for(this.tokenizer.lexer=this,this.options.pedantic&&(t=t.replace(eu.tabCharGlobal,"    ").replace(eu.spaceLine,""));t;){let i;if(this.options.extensions?.block?.some(o=>(i=o.call({lexer:this},t,n))?(t=t.substring(i.raw.length),n.push(i),!0):!1))continue;if(i=this.tokenizer.space(t)){t=t.substring(i.raw.length);let o=n.at(-1);i.raw.length===1&&o!==void 0?o.raw+=`
+`,e=e.substring(_.length+1),d=T.slice(h)}}i.loose||(o?i.loose=!0:this.rules.other.doubleBlankLine.test(u)&&(o=!0)),i.items.push({type:"list_item",raw:u,task:!!this.options.gfm&&this.rules.other.listIsTask.test(l),loose:!1,text:l,tokens:[]}),i.raw+=u}let a=i.items.at(-1);if(a)a.raw=a.raw.trimEnd(),a.text=a.text.trimEnd();else return;i.raw=i.raw.trimEnd();for(let c of i.items){if(this.lexer.state.top=!1,c.tokens=this.lexer.blockTokens(c.text,[]),c.task){if(c.text=c.text.replace(this.rules.other.listReplaceTask,""),c.tokens[0]?.type==="text"||c.tokens[0]?.type==="paragraph"){c.tokens[0].raw=c.tokens[0].raw.replace(this.rules.other.listReplaceTask,""),c.tokens[0].text=c.tokens[0].text.replace(this.rules.other.listReplaceTask,"");for(let l=this.lexer.inlineQueue.length-1;l>=0;l--)if(this.rules.other.listIsTask.test(this.lexer.inlineQueue[l].src)){this.lexer.inlineQueue[l].src=this.lexer.inlineQueue[l].src.replace(this.rules.other.listReplaceTask,"");break}}let u=this.rules.other.listTaskCheckbox.exec(c.raw);if(u){let l={type:"checkbox",raw:u[0]+" ",checked:u[0]!=="[ ]"};c.checked=l.checked,i.loose?c.tokens[0]&&["paragraph","text"].includes(c.tokens[0].type)&&"tokens"in c.tokens[0]&&c.tokens[0].tokens?(c.tokens[0].raw=l.raw+c.tokens[0].raw,c.tokens[0].text=l.raw+c.tokens[0].text,c.tokens[0].tokens.unshift(l)):c.tokens.unshift({type:"paragraph",raw:l.raw,text:l.raw,tokens:[l]}):c.tokens.unshift(l)}}if(!i.loose){let u=c.tokens.filter(d=>d.type==="space"),l=u.length>0&&u.some(d=>this.rules.other.anyLine.test(d.raw));i.loose=l}}if(i.loose)for(let c of i.items){c.loose=!0;for(let u of c.tokens)u.type==="text"&&(u.type="paragraph")}return i}}html(e){let t=this.rules.block.html.exec(e);if(t)return{type:"html",block:!0,raw:t[0],pre:t[1]==="pre"||t[1]==="script"||t[1]==="style",text:t[0]}}def(e){let t=this.rules.block.def.exec(e);if(t){let n=t[1].toLowerCase().replace(this.rules.other.multipleSpaceGlobal," "),r=t[2]?t[2].replace(this.rules.other.hrefBrackets,"$1").replace(this.rules.inline.anyPunctuation,"$1"):"",i=t[3]?t[3].substring(1,t[3].length-1).replace(this.rules.inline.anyPunctuation,"$1"):t[3];return{type:"def",tag:n,raw:t[0],href:r,title:i}}}table(e){let t=this.rules.block.table.exec(e);if(!t||!this.rules.other.tableDelimiter.test(t[2]))return;let n=FIt(t[1]),r=t[2].replace(this.rules.other.tableAlignChars,"").split("|"),i=t[3]?.trim()?t[3].replace(this.rules.other.tableRowBlankLine,"").split(`
+`):[],s={type:"table",raw:t[0],header:[],align:[],rows:[]};if(n.length===r.length){for(let o of r)this.rules.other.tableAlignRight.test(o)?s.align.push("right"):this.rules.other.tableAlignCenter.test(o)?s.align.push("center"):this.rules.other.tableAlignLeft.test(o)?s.align.push("left"):s.align.push(null);for(let o=0;o<n.length;o++)s.header.push({text:n[o],tokens:this.lexer.inline(n[o]),header:!0,align:s.align[o]});for(let o of i)s.rows.push(FIt(o,s.header.length).map((a,c)=>({text:a,tokens:this.lexer.inline(a),header:!1,align:s.align[c]})));return s}}lheading(e){let t=this.rules.block.lheading.exec(e);if(t){let n=t[1].trim();return{type:"heading",raw:t[0],depth:t[2].charAt(0)==="="?1:2,text:n,tokens:this.lexer.inline(n)}}}paragraph(e){let t=this.rules.block.paragraph.exec(e);if(t){let n=t[1].charAt(t[1].length-1)===`
+`?t[1].slice(0,-1):t[1];return{type:"paragraph",raw:t[0],text:n,tokens:this.lexer.inline(n)}}}text(e){let t=this.rules.block.text.exec(e);if(t)return{type:"text",raw:t[0],text:t[0],tokens:this.lexer.inline(t[0])}}escape(e){let t=this.rules.inline.escape.exec(e);if(t)return{type:"escape",raw:t[0],text:t[1]}}tag(e){let t=this.rules.inline.tag.exec(e);if(t)return!this.lexer.state.inLink&&this.rules.other.startATag.test(t[0])?this.lexer.state.inLink=!0:this.lexer.state.inLink&&this.rules.other.endATag.test(t[0])&&(this.lexer.state.inLink=!1),!this.lexer.state.inRawBlock&&this.rules.other.startPreScriptTag.test(t[0])?this.lexer.state.inRawBlock=!0:this.lexer.state.inRawBlock&&this.rules.other.endPreScriptTag.test(t[0])&&(this.lexer.state.inRawBlock=!1),{type:"html",raw:t[0],inLink:this.lexer.state.inLink,inRawBlock:this.lexer.state.inRawBlock,block:!1,text:t[0]}}link(e){let t=this.rules.inline.link.exec(e);if(t){let n=t[2].trim();if(!this.options.pedantic&&this.rules.other.startAngleBracket.test(n)){if(!this.rules.other.endAngleBracket.test(n))return;let s=cU(n.slice(0,-1),"\\");if((n.length-s.length)%2===0)return}else{let s=Cer(t[2],"()");if(s===-2)return;if(s>-1){let o=(t[0].indexOf("!")===0?5:4)+t[1].length+s;t[2]=t[2].substring(0,s),t[0]=t[0].substring(0,o).trim(),t[3]=""}}let r=t[2],i="";if(this.options.pedantic){let s=this.rules.other.pedanticHrefTitle.exec(r);s&&(r=s[1],i=s[3])}else i=t[3]?t[3].slice(1,-1):"";return r=r.trim(),this.rules.other.startAngleBracket.test(r)&&(this.options.pedantic&&!this.rules.other.endAngleBracket.test(n)?r=r.slice(1):r=r.slice(1,-1)),jIt(t,{href:r&&r.replace(this.rules.inline.anyPunctuation,"$1"),title:i&&i.replace(this.rules.inline.anyPunctuation,"$1")},t[0],this.lexer,this.rules)}}reflink(e,t){let n;if((n=this.rules.inline.reflink.exec(e))||(n=this.rules.inline.nolink.exec(e))){let r=(n[2]||n[1]).replace(this.rules.other.multipleSpaceGlobal," "),i=t[r.toLowerCase()];if(!i){let s=n[0].charAt(0);return{type:"text",raw:s,text:s}}return jIt(n,i,n[0],this.lexer,this.rules)}}emStrong(e,t,n=""){let r=this.rules.inline.emStrongLDelim.exec(e);if(!(!r||!r[1]&&!r[2]&&!r[3]&&!r[4]||r[4]&&n.match(this.rules.other.unicodeAlphaNumeric))&&(!(r[1]||r[3])||!n||this.rules.inline.punctuation.exec(n))){let i=[...r[0]].length-1,s,o,a=i,c=0,u=r[0][0]==="*"?this.rules.inline.emStrongRDelimAst:this.rules.inline.emStrongRDelimUnd;for(u.lastIndex=0,t=t.slice(-1*e.length+i);(r=u.exec(t))!==null;){if(s=r[1]||r[2]||r[3]||r[4]||r[5]||r[6],!s)continue;if(o=[...s].length,r[3]||r[4]){a+=o;continue}else if((r[5]||r[6])&&i%3&&!((i+o)%3)){c+=o;continue}if(a-=o,a>0)continue;o=Math.min(o,o+a+c);let l=[...r[0]][0].length,d=e.slice(0,i+r.index+l+o);if(Math.min(i,o)%2){let p=d.slice(1,-1);return{type:"em",raw:d,text:p,tokens:this.lexer.inlineTokens(p)}}let f=d.slice(2,-2);return{type:"strong",raw:d,text:f,tokens:this.lexer.inlineTokens(f)}}}}codespan(e){let t=this.rules.inline.code.exec(e);if(t){let n=t[2].replace(this.rules.other.newLineCharGlobal," "),r=this.rules.other.nonSpaceChar.test(n),i=this.rules.other.startingSpaceChar.test(n)&&this.rules.other.endingSpaceChar.test(n);return r&&i&&(n=n.substring(1,n.length-1)),{type:"codespan",raw:t[0],text:n}}}br(e){let t=this.rules.inline.br.exec(e);if(t)return{type:"br",raw:t[0]}}del(e,t,n=""){let r=this.rules.inline.delLDelim.exec(e);if(r&&(!r[1]||!n||this.rules.inline.punctuation.exec(n))){let i=[...r[0]].length-1,s,o,a=i,c=this.rules.inline.delRDelim;for(c.lastIndex=0,t=t.slice(-1*e.length+i);(r=c.exec(t))!==null;){if(s=r[1]||r[2]||r[3]||r[4]||r[5]||r[6],!s||(o=[...s].length,o!==i))continue;if(r[3]||r[4]){a+=o;continue}if(a-=o,a>0)continue;o=Math.min(o,o+a);let u=[...r[0]][0].length,l=e.slice(0,i+r.index+u+o),d=l.slice(i,-i);return{type:"del",raw:l,text:d,tokens:this.lexer.inlineTokens(d)}}}}autolink(e){let t=this.rules.inline.autolink.exec(e);if(t){let n,r;return t[2]==="@"?(n=t[1],r="mailto:"+n):(n=t[1],r=n),{type:"link",raw:t[0],text:n,href:r,tokens:[{type:"text",raw:n,text:n}]}}}url(e){let t;if(t=this.rules.inline.url.exec(e)){let n,r;if(t[2]==="@")n=t[0],r="mailto:"+n;else{let i;do i=t[0],t[0]=this.rules.inline._backpedal.exec(t[0])?.[0]??"";while(i!==t[0]);n=t[0],t[1]==="www."?r="http://"+t[0]:r=t[0]}return{type:"link",raw:t[0],text:n,href:r,tokens:[{type:"text",raw:n,text:n}]}}}inlineText(e){let t=this.rules.inline.text.exec(e);if(t){let n=this.lexer.state.inRawBlock;return{type:"text",raw:t[0],text:t[0],escaped:n}}}},cp=class a_e{tokens;options;state;inlineQueue;tokenizer;constructor(t){this.tokens=[],this.tokens.links=Object.create(null),this.options=t||zv,this.options.tokenizer=this.options.tokenizer||new Z6,this.tokenizer=this.options.tokenizer,this.tokenizer.options=this.options,this.tokenizer.lexer=this,this.inlineQueue=[],this.state={inLink:!1,inRawBlock:!1,top:!0};let n={other:nu,block:K6.normal,inline:aU.normal};this.options.pedantic?(n.block=K6.pedantic,n.inline=aU.pedantic):this.options.gfm&&(n.block=K6.gfm,this.options.breaks?n.inline=aU.breaks:n.inline=aU.gfm),this.tokenizer.rules=n}static get rules(){return{block:K6,inline:aU}}static lex(t,n){return new a_e(n).lex(t)}static lexInline(t,n){return new a_e(n).inlineTokens(t)}lex(t){t=t.replace(nu.carriageReturn,`
+`),this.blockTokens(t,this.tokens);for(let n=0;n<this.inlineQueue.length;n++){let r=this.inlineQueue[n];this.inlineTokens(r.src,r.tokens)}return this.inlineQueue=[],this.tokens}blockTokens(t,n=[],r=!1){for(this.tokenizer.lexer=this,this.options.pedantic&&(t=t.replace(nu.tabCharGlobal,"    ").replace(nu.spaceLine,""));t;){let i;if(this.options.extensions?.block?.some(o=>(i=o.call({lexer:this},t,n))?(t=t.substring(i.raw.length),n.push(i),!0):!1))continue;if(i=this.tokenizer.space(t)){t=t.substring(i.raw.length);let o=n.at(-1);i.raw.length===1&&o!==void 0?o.raw+=`
 `:n.push(i);continue}if(i=this.tokenizer.code(t)){t=t.substring(i.raw.length);let o=n.at(-1);o?.type==="paragraph"||o?.type==="text"?(o.raw+=(o.raw.endsWith(`
 `)?"":`
 `)+i.raw,o.text+=`
@@ -1224,9 +1222,9 @@ ${l}`:l;let d=this.lexer.state.top;if(this.lexer.state.top=!0,this.lexer.blockTo
 `+i.text,this.inlineQueue.pop(),this.inlineQueue.at(-1).src=o.text):n.push(i),r=s.length!==t.length,t=t.substring(i.raw.length);continue}if(i=this.tokenizer.text(t)){t=t.substring(i.raw.length);let o=n.at(-1);o?.type==="text"?(o.raw+=(o.raw.endsWith(`
 `)?"":`
 `)+i.raw,o.text+=`
-`+i.text,this.inlineQueue.pop(),this.inlineQueue.at(-1).src=o.text):n.push(i);continue}if(t){let o="Infinite loop on byte: "+t.charCodeAt(0);if(this.options.silent){console.error(o);break}else throw new Error(o)}}return this.state.top=!0,n}inline(t,n=[]){return this.inlineQueue.push({src:t,tokens:n}),n}inlineTokens(t,n=[]){this.tokenizer.lexer=this;let r=t,i=null;if(this.tokens.links){let c=Object.keys(this.tokens.links);if(c.length>0)for(;(i=this.tokenizer.rules.inline.reflinkSearch.exec(r))!==null;)c.includes(i[0].slice(i[0].lastIndexOf("[")+1,-1))&&(r=r.slice(0,i.index)+"["+"a".repeat(i[0].length-2)+"]"+r.slice(this.tokenizer.rules.inline.reflinkSearch.lastIndex))}for(;(i=this.tokenizer.rules.inline.anyPunctuation.exec(r))!==null;)r=r.slice(0,i.index)+"++"+r.slice(this.tokenizer.rules.inline.anyPunctuation.lastIndex);let s;for(;(i=this.tokenizer.rules.inline.blockSkip.exec(r))!==null;)s=i[2]?i[2].length:0,r=r.slice(0,i.index+s)+"["+"a".repeat(i[0].length-s-2)+"]"+r.slice(this.tokenizer.rules.inline.blockSkip.lastIndex);r=this.options.hooks?.emStrongMask?.call({lexer:this},r)??r;let o=!1,a="";for(;t;){o||(a=""),o=!1;let c;if(this.options.extensions?.inline?.some(l=>(c=l.call({lexer:this},t,n))?(t=t.substring(c.raw.length),n.push(c),!0):!1))continue;if(c=this.tokenizer.escape(t)){t=t.substring(c.raw.length),n.push(c);continue}if(c=this.tokenizer.tag(t)){t=t.substring(c.raw.length),n.push(c);continue}if(c=this.tokenizer.link(t)){t=t.substring(c.raw.length),n.push(c);continue}if(c=this.tokenizer.reflink(t,this.tokens.links)){t=t.substring(c.raw.length);let l=n.at(-1);c.type==="text"&&l?.type==="text"?(l.raw+=c.raw,l.text+=c.text):n.push(c);continue}if(c=this.tokenizer.emStrong(t,r,a)){t=t.substring(c.raw.length),n.push(c);continue}if(c=this.tokenizer.codespan(t)){t=t.substring(c.raw.length),n.push(c);continue}if(c=this.tokenizer.br(t)){t=t.substring(c.raw.length),n.push(c);continue}if(c=this.tokenizer.del(t,r,a)){t=t.substring(c.raw.length),n.push(c);continue}if(c=this.tokenizer.autolink(t)){t=t.substring(c.raw.length),n.push(c);continue}if(!this.state.inLink&&(c=this.tokenizer.url(t))){t=t.substring(c.raw.length),n.push(c);continue}let u=t;if(this.options.extensions?.startInline){let l=1/0,d=t.slice(1),f;this.options.extensions.startInline.forEach(p=>{f=p.call({lexer:this},d),typeof f=="number"&&f>=0&&(l=Math.min(l,f))}),l<1/0&&l>=0&&(u=t.substring(0,l+1))}if(c=this.tokenizer.inlineText(u)){t=t.substring(c.raw.length),c.raw.slice(-1)!=="_"&&(a=c.raw.slice(-1)),o=!0;let l=n.at(-1);l?.type==="text"?(l.raw+=c.raw,l.text+=c.text):n.push(c);continue}if(t){let l="Infinite loop on byte: "+t.charCodeAt(0);if(this.options.silent){console.error(l);break}else throw new Error(l)}}return n}},M5=class{options;parser;constructor(e){this.options=e||qv}space(e){return""}code({text:e,lang:t,escaped:n}){let r=(t||"").match(eu.notSpaceStart)?.[0],i=e.replace(eu.endingNewline,"")+`
-`;return r?'<pre><code class="language-'+$h(r)+'">'+(n?i:$h(i,!0))+`</code></pre>
-`:"<pre><code>"+(n?i:$h(i,!0))+`</code></pre>
+`+i.text,this.inlineQueue.pop(),this.inlineQueue.at(-1).src=o.text):n.push(i);continue}if(t){let o="Infinite loop on byte: "+t.charCodeAt(0);if(this.options.silent){console.error(o);break}else throw new Error(o)}}return this.state.top=!0,n}inline(t,n=[]){return this.inlineQueue.push({src:t,tokens:n}),n}inlineTokens(t,n=[]){this.tokenizer.lexer=this;let r=t,i=null;if(this.tokens.links){let c=Object.keys(this.tokens.links);if(c.length>0)for(;(i=this.tokenizer.rules.inline.reflinkSearch.exec(r))!==null;)c.includes(i[0].slice(i[0].lastIndexOf("[")+1,-1))&&(r=r.slice(0,i.index)+"["+"a".repeat(i[0].length-2)+"]"+r.slice(this.tokenizer.rules.inline.reflinkSearch.lastIndex))}for(;(i=this.tokenizer.rules.inline.anyPunctuation.exec(r))!==null;)r=r.slice(0,i.index)+"++"+r.slice(this.tokenizer.rules.inline.anyPunctuation.lastIndex);let s;for(;(i=this.tokenizer.rules.inline.blockSkip.exec(r))!==null;)s=i[2]?i[2].length:0,r=r.slice(0,i.index+s)+"["+"a".repeat(i[0].length-s-2)+"]"+r.slice(this.tokenizer.rules.inline.blockSkip.lastIndex);r=this.options.hooks?.emStrongMask?.call({lexer:this},r)??r;let o=!1,a="";for(;t;){o||(a=""),o=!1;let c;if(this.options.extensions?.inline?.some(l=>(c=l.call({lexer:this},t,n))?(t=t.substring(c.raw.length),n.push(c),!0):!1))continue;if(c=this.tokenizer.escape(t)){t=t.substring(c.raw.length),n.push(c);continue}if(c=this.tokenizer.tag(t)){t=t.substring(c.raw.length),n.push(c);continue}if(c=this.tokenizer.link(t)){t=t.substring(c.raw.length),n.push(c);continue}if(c=this.tokenizer.reflink(t,this.tokens.links)){t=t.substring(c.raw.length);let l=n.at(-1);c.type==="text"&&l?.type==="text"?(l.raw+=c.raw,l.text+=c.text):n.push(c);continue}if(c=this.tokenizer.emStrong(t,r,a)){t=t.substring(c.raw.length),n.push(c);continue}if(c=this.tokenizer.codespan(t)){t=t.substring(c.raw.length),n.push(c);continue}if(c=this.tokenizer.br(t)){t=t.substring(c.raw.length),n.push(c);continue}if(c=this.tokenizer.del(t,r,a)){t=t.substring(c.raw.length),n.push(c);continue}if(c=this.tokenizer.autolink(t)){t=t.substring(c.raw.length),n.push(c);continue}if(!this.state.inLink&&(c=this.tokenizer.url(t))){t=t.substring(c.raw.length),n.push(c);continue}let u=t;if(this.options.extensions?.startInline){let l=1/0,d=t.slice(1),f;this.options.extensions.startInline.forEach(p=>{f=p.call({lexer:this},d),typeof f=="number"&&f>=0&&(l=Math.min(l,f))}),l<1/0&&l>=0&&(u=t.substring(0,l+1))}if(c=this.tokenizer.inlineText(u)){t=t.substring(c.raw.length),c.raw.slice(-1)!=="_"&&(a=c.raw.slice(-1)),o=!0;let l=n.at(-1);l?.type==="text"?(l.raw+=c.raw,l.text+=c.text):n.push(c);continue}if(t){let l="Infinite loop on byte: "+t.charCodeAt(0);if(this.options.silent){console.error(l);break}else throw new Error(l)}}return n}},J6=class{options;parser;constructor(e){this.options=e||zv}space(e){return""}code({text:e,lang:t,escaped:n}){let r=(t||"").match(nu.notSpaceStart)?.[0],i=e.replace(nu.endingNewline,"")+`
+`;return r?'<pre><code class="language-'+em(r)+'">'+(n?i:em(i,!0))+`</code></pre>
+`:"<pre><code>"+(n?i:em(i,!0))+`</code></pre>
 `}blockquote({tokens:e}){return`<blockquote>
 ${this.parser.parse(e)}</blockquote>
 `}html({text:e}){return e}def(e){return""}heading({tokens:e,depth:t}){return`<h${t}>${this.parser.parseInline(e)}</h${t}>
@@ -1242,35 +1240,35 @@ ${this.parser.parse(e)}</blockquote>
 `}tablerow({text:e}){return`<tr>
 ${e}</tr>
 `}tablecell(e){let t=this.parser.parseInline(e.tokens),n=e.header?"th":"td";return(e.align?`<${n} align="${e.align}">`:`<${n}>`)+t+`</${n}>
-`}strong({tokens:e}){return`<strong>${this.parser.parseInline(e)}</strong>`}em({tokens:e}){return`<em>${this.parser.parseInline(e)}</em>`}codespan({text:e}){return`<code>${$h(e,!0)}</code>`}br(e){return"<br>"}del({tokens:e}){return`<del>${this.parser.parseInline(e)}</del>`}link({href:e,title:t,tokens:n}){let r=this.parser.parseInline(n),i=SIt(e);if(i===null)return r;e=i;let s='<a href="'+e+'"';return t&&(s+=' title="'+$h(t)+'"'),s+=">"+r+"</a>",s}image({href:e,title:t,text:n,tokens:r}){r&&(n=this.parser.parseInline(r,this.parser.textRenderer));let i=SIt(e);if(i===null)return $h(n);e=i;let s=`<img src="${e}" alt="${$h(n)}"`;return t&&(s+=` title="${$h(t)}"`),s+=">",s}text(e){return"tokens"in e&&e.tokens?this.parser.parseInline(e.tokens):"escaped"in e&&e.escaped?e.text:$h(e.text)}},o_e=class{strong({text:e}){return e}em({text:e}){return e}codespan({text:e}){return e}del({text:e}){return e}html({text:e}){return e}text({text:e}){return e}link({text:e}){return""+e}image({text:e}){return""+e}br(){return""}checkbox({raw:e}){return e}},cp=class Xbe{options;renderer;textRenderer;constructor(t){this.options=t||qv,this.options.renderer=this.options.renderer||new M5,this.renderer=this.options.renderer,this.renderer.options=this.options,this.renderer.parser=this,this.textRenderer=new o_e}static parse(t,n){return new Xbe(n).parse(t)}static parseInline(t,n){return new Xbe(n).parseInline(t)}parse(t){this.renderer.parser=this;let n="";for(let r=0;r<t.length;r++){let i=t[r];if(this.options.extensions?.renderers?.[i.type]){let o=i,a=this.options.extensions.renderers[o.type].call({parser:this},o);if(a!==!1||!["space","hr","heading","code","table","blockquote","list","html","def","paragraph","text"].includes(o.type)){n+=a||"";continue}}let s=i;switch(s.type){case"space":{n+=this.renderer.space(s);break}case"hr":{n+=this.renderer.hr(s);break}case"heading":{n+=this.renderer.heading(s);break}case"code":{n+=this.renderer.code(s);break}case"table":{n+=this.renderer.table(s);break}case"blockquote":{n+=this.renderer.blockquote(s);break}case"list":{n+=this.renderer.list(s);break}case"checkbox":{n+=this.renderer.checkbox(s);break}case"html":{n+=this.renderer.html(s);break}case"def":{n+=this.renderer.def(s);break}case"paragraph":{n+=this.renderer.paragraph(s);break}case"text":{n+=this.renderer.text(s);break}default:{let o='Token with "'+s.type+'" type was not found.';if(this.options.silent)return console.error(o),"";throw new Error(o)}}}return n}parseInline(t,n=this.renderer){this.renderer.parser=this;let r="";for(let i=0;i<t.length;i++){let s=t[i];if(this.options.extensions?.renderers?.[s.type]){let a=this.options.extensions.renderers[s.type].call({parser:this},s);if(a!==!1||!["escape","html","link","image","strong","em","codespan","br","del","text"].includes(s.type)){r+=a||"";continue}}let o=s;switch(o.type){case"escape":{r+=n.text(o);break}case"html":{r+=n.html(o);break}case"link":{r+=n.link(o);break}case"image":{r+=n.image(o);break}case"checkbox":{r+=n.checkbox(o);break}case"strong":{r+=n.strong(o);break}case"em":{r+=n.em(o);break}case"codespan":{r+=n.codespan(o);break}case"br":{r+=n.br(o);break}case"del":{r+=n.del(o);break}case"text":{r+=n.text(o);break}default:{let a='Token with "'+o.type+'" type was not found.';if(this.options.silent)return console.error(a),"";throw new Error(a)}}}return r}},X1=class{options;block;constructor(e){this.options=e||qv}static passThroughHooks=new Set(["preprocess","postprocess","processAllTokens","emStrongMask"]);static passThroughHooksRespectAsync=new Set(["preprocess","postprocess","processAllTokens"]);preprocess(e){return e}postprocess(e){return e}processAllTokens(e){return e}emStrongMask(e){return e}provideLexer(e=this.block){return e?ap.lex:ap.lexInline}provideParser(e=this.block){return e?cp.parse:cp.parseInline}},eer=class{defaults=Qbe();options=this.setOptions;parse=this.parseMarkdown(!0);parseInline=this.parseMarkdown(!1);Parser=cp;Renderer=M5;TextRenderer=o_e;Lexer=ap;Tokenizer=C5;Hooks=X1;constructor(...e){this.use(...e)}walkTokens(e,t){let n=[];for(let r of e)switch(n=n.concat(t.call(this,r)),r.type){case"table":{let i=r;for(let s of i.header)n=n.concat(this.walkTokens(s.tokens,t));for(let s of i.rows)for(let o of s)n=n.concat(this.walkTokens(o.tokens,t));break}case"list":{let i=r;n=n.concat(this.walkTokens(i.items,t));break}default:{let i=r;this.defaults.extensions?.childTokens?.[i.type]?this.defaults.extensions.childTokens[i.type].forEach(s=>{let o=i[s].flat(1/0);n=n.concat(this.walkTokens(o,t))}):i.tokens&&(n=n.concat(this.walkTokens(i.tokens,t)))}}return n}use(...e){let t=this.defaults.extensions||{renderers:{},childTokens:{}};return e.forEach(n=>{let r={...n};if(r.async=this.defaults.async||r.async||!1,n.extensions&&(n.extensions.forEach(i=>{if(!i.name)throw new Error("extension name required");if("renderer"in i){let s=t.renderers[i.name];s?t.renderers[i.name]=function(...o){let a=i.renderer.apply(this,o);return a===!1&&(a=s.apply(this,o)),a}:t.renderers[i.name]=i.renderer}if("tokenizer"in i){if(!i.level||i.level!=="block"&&i.level!=="inline")throw new Error("extension level must be 'block' or 'inline'");let s=t[i.level];s?s.unshift(i.tokenizer):t[i.level]=[i.tokenizer],i.start&&(i.level==="block"?t.startBlock?t.startBlock.push(i.start):t.startBlock=[i.start]:i.level==="inline"&&(t.startInline?t.startInline.push(i.start):t.startInline=[i.start]))}"childTokens"in i&&i.childTokens&&(t.childTokens[i.name]=i.childTokens)}),r.extensions=t),n.renderer){let i=this.defaults.renderer||new M5(this.defaults);for(let s in n.renderer){if(!(s in i))throw new Error(`renderer '${s}' does not exist`);if(["options","parser"].includes(s))continue;let o=s,a=n.renderer[o],c=i[o];i[o]=(...u)=>{let l=a.apply(i,u);return l===!1&&(l=c.apply(i,u)),l||""}}r.renderer=i}if(n.tokenizer){let i=this.defaults.tokenizer||new C5(this.defaults);for(let s in n.tokenizer){if(!(s in i))throw new Error(`tokenizer '${s}' does not exist`);if(["options","rules","lexer"].includes(s))continue;let o=s,a=n.tokenizer[o],c=i[o];i[o]=(...u)=>{let l=a.apply(i,u);return l===!1&&(l=c.apply(i,u)),l}}r.tokenizer=i}if(n.hooks){let i=this.defaults.hooks||new X1;for(let s in n.hooks){if(!(s in i))throw new Error(`hook '${s}' does not exist`);if(["options","block"].includes(s))continue;let o=s,a=n.hooks[o],c=i[o];X1.passThroughHooks.has(s)?i[o]=u=>{if(this.defaults.async&&X1.passThroughHooksRespectAsync.has(s))return(async()=>{let d=await a.call(i,u);return c.call(i,d)})();let l=a.call(i,u);return c.call(i,l)}:i[o]=(...u)=>{if(this.defaults.async)return(async()=>{let d=await 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Error(`renderer '${s}' does not exist`);if(["options","parser"].includes(s))continue;let o=s,a=n.renderer[o],c=i[o];i[o]=(...u)=>{let l=a.apply(i,u);return l===!1&&(l=c.apply(i,u)),l||""}}r.renderer=i}if(n.tokenizer){let i=this.defaults.tokenizer||new Z6(this.defaults);for(let s in n.tokenizer){if(!(s in i))throw new Error(`tokenizer '${s}' does not exist`);if(["options","rules","lexer"].includes(s))continue;let o=s,a=n.tokenizer[o],c=i[o];i[o]=(...u)=>{let l=a.apply(i,u);return l===!1&&(l=c.apply(i,u)),l}}r.tokenizer=i}if(n.hooks){let i=this.defaults.hooks||new uU;for(let s in n.hooks){if(!(s in i))throw new Error(`hook '${s}' does not exist`);if(["options","block"].includes(s))continue;let o=s,a=n.hooks[o],c=i[o];uU.passThroughHooks.has(s)?i[o]=u=>{if(this.defaults.async&&uU.passThroughHooksRespectAsync.has(s))return(async()=>{let d=await a.call(i,u);return c.call(i,d)})();let l=a.call(i,u);return c.call(i,l)}:i[o]=(...u)=>{if(this.defaults.async)return(async()=>{let d=await 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Use haiku_run_next to advance \u2014 it validates units and opens the review automatically when ready."}],isError:!0};if(n==="ask_user_visual_question"){let i=Rer.parse(r),s=i.title??"Question",o=i.context??"",a=i.questions,c=i.image_paths??[],u=c.map(h=>h_e(J5(h))),l=gye({title:s,questions:a,context:o,imagePaths:c,imageBaseDirs:u}),d=c.map((h,m)=>`/question-image/${l.session_id}/${m}`),f=await GE(),p;if(Bi()){let h=await jg(f);p=vv(l.session_id,h,"question")}else p=`http://127.0.0.1:${f}/question/${l.session_id}`;return lp(p,"Question session",l.session_id),await n0t(l.session_id,{url:p,signal:t})}if(n==="haiku_view"){let i=r??{},s=Be(i,yge,"haiku_view");if(s)return s;let o=i,a=o.mode??"auto",c=o.intent;if(!c){let A=gv();if(A)c=A.slug;else{let R=ve(),x=em(R,"intents"),k=Ug(x).filter(N=>N.data.status!=="completed");if(k.length===1)c=k[0].slug;else return{content:[{type:"text",text:JSON.stringify({error:"haiku_view_intent_unresolved",message:k.length===0?"No active intents found. Pass `intent` explicitly.":`Multiple active intents (${k.map(N=>N.slug).join(", ")}). Pass \`intent\` explicitly.`})}],isError:!0}}}let u=pe(c);if(!p_e(u))return{content:[{type:"text",text:JSON.stringify({error:"haiku_view_intent_not_found",message:`Intent "${c}" not found at ${u}.`})}],isError:!0};let l=a==="boot"||a==="auto",d=o.cwd?em(u,o.cwd):u,f=null,p=null;if(l&&o.processes&&o.processes.length>0){if(o.command&&o.command.length>0)return{content:[{type:"text",text:JSON.stringify({error:"haiku_view_input_invalid",message:"`command` and `processes` are mutually exclusive. Use `command` for a one-process boot and `processes` for a stack."})}],isError:!0};f=o.processes.map(x=>({name:x.name,command:x.command,cwd:x.cwd?em(u,x.cwd):u,port_env:x.port_env,ready_url:x.ready_url,depends_on:x.depends_on,no_port:x.no_port}));let A=f.filter(x=>!x.no_port);if(o.primary)p=o.primary;else if(A.length===1)p=A[0].name;else return{content:[{type:"text",text:JSON.stringify({error:"haiku_view_primary_required",message:`\`processes\` has ${A.length} port-bound entries (${A.map(x=>x.name).join(", ")}). Set \`primary: "<name>"\` to tell the engine which one's URL Playwright should drive.`})}],isError:!0};let R=new Set(f.map(x=>x.name));if(!R.has(p))return{content:[{type:"text",text:JSON.stringify({error:"haiku_view_primary_not_in_group",message:`\`primary: "${p}"\` does not match any process name in the group (${[...R].join(", ")}).`})}],isError:!0}}if(l&&!f&&!(o.command&&o.command.length>0)){let A=null;try{A=Tye(h_e(ve()))}catch(R){return{content:[{type:"text",text:JSON.stringify({error:"haiku_view_boot_recipe_invalid",message:R instanceof Error?R.message:String(R)})}],isError:!0}}A&&(f=A.processes,p=A.primary)}let h=null;if(l&&!f&&(o.command&&o.command.length>0?h=tSt(o.command,d):h=nSt(d)),a==="boot"&&!f&&!h)return{content:[{type:"text",text:JSON.stringify({error:"haiku_view_no_boot_target",message:`No boot target supplied, no \`.haiku/boot.md\` recipe, and no package.json dev/start script found in ${d}. Either: (a) retry haiku_view with \`command: [...]\` for a one-process app (e.g. \`["uvicorn", "app:main"]\`, \`["bin/dev"]\`, \`["go", "run", "./cmd/server"]\`) or \`processes: [...]\` with \`primary: "<name>"\` for a stack; or (b) commit a \`.haiku/boot.md\` recipe so every agent on every harness boots this app the same way without rediscovering it (frontmatter: \`command:\`/\`processes:\`, \`cwd:\`, \`env:\`, \`ready_url:\`). The engine sets PORT + HOST env vars before spawning each process and exposes \`<DEP_NAME>_PORT\` + \`<DEP_NAME>_URL\` for service discovery between dependents.`})}],isError:!0};let m;try{let R=(await $1(u))?.frontmatter;R&&typeof R.studio=="string"&&R.studio&&(m=R.studio)}catch{}let y=f||h?"boot":"viewer",g=Eye({intent_dir:u,intent_slug:c,studio:m,stage:o.stage,artifact:o.artifact,mode:y});if(y==="boot"&&(f||h))try{let A,R,x,k;if(f&&p){let P=await vye(g.session_id,f,p);if(P.primary.port===null)throw new Error(`primary process "${p}" has no port \u2014 cannot return URL`);A=P.primary.port,R=P.primary.command,x=P.primary.pid,k=P.processes}else if(h){let P=await iSt(g.session_id,h);if(P.port===null)throw new Error("single-process boot returned null port");A=P.port,R=P.command,x=P.pid}else throw new Error("boot mode reached without group or detection");bye(g.session_id,{boot_port:A,boot_pid:x,boot_command:R});let N=`http://127.0.0.1:${A}/`;return{content:[{type:"text",text:JSON.stringify({session_id:g.session_id,url:N,mode:"boot",intent:c,stage:o.stage??null,artifact:o.artifact??null,boot_command:R,processes:k,note:"Hand the `url` to the bundled `haiku-playwright` MCP. The dev process(es) stay up until `haiku_view_close` (or the 30min TTL). Call `haiku_view_close` with the `session_id` when done \u2014 the engine kills the whole group."})}]}}catch(A){return C0(g.session_id),{content:[{type:"text",text:JSON.stringify({error:"haiku_view_boot_failed",message:A instanceof Error?A.message:String(A),boot_command:f?f.map(R=>`${R.name}: ${R.command.join(" ")}`).join("; "):h?.description})}],isError:!0}}let E=await GE(),S=Bi()?vv(g.session_id,await jg(E),"view"):`http://127.0.0.1:${E}/view/${g.session_id}`,b=new URLSearchParams;o.stage&&b.set("stage",o.stage),o.artifact&&b.set("artifact",o.artifact);let _=b.toString(),T=_?`${S}${S.includes("?")?"&":"?"}${_}`:S;return{content:[{type:"text",text:JSON.stringify({session_id:g.session_id,url:T,mode:"viewer",intent:c,stage:o.stage??null,artifact:o.artifact??null,note:"Hand the `url` to the bundled `haiku-playwright` MCP. When done, call `haiku_view_close` with the `session_id`."})}]}}if(n==="haiku_view_close"){let i=r??{},s=Be(i,Sge,"haiku_view_close");if(s)return s;let o=i,a=$t(o.session_id),c=a?.session_type==="view",l=c&&a.mode==="boot"?D0(o.session_id):!1,d=C0(o.session_id);return{content:[{type:"text",text:JSON.stringify({closed:d,session_id:o.session_id,was_view_session:c,killed_boot_process:l})}]}}if(n==="haiku_await_visual_answer"){let i=r??{},s=Be(i,Ume,"haiku_await_visual_answer");if(s)return s;let o=i,a=o.session_id,c=o.auto_open!==!1,u=o.url??"",l=$t(a);return!l||l.session_type!=="question"?{content:[{type:"text",text:`Question session ${a} not found or wrong type \u2014 call ask_user_visual_question to create a new one.`}],isError:!0}:(c&&u&&lp(u,"Question session"),await n0t(a,{url:u,signal:t}))}if(n==="pick_design_direction"){let i=wer.parse(r),s=i.title??"Design Direction";try{let l=em(ve(),"intents",i.intent_slug,"intent.md");if(p_e(l)){let d=await nU(l,"utf-8");if((re(d).data.mode||"")==="autopilot"){let p=await l0t(i.intent_slug);if(!p)return{content:[{type:"text",text:`Autopilot short-circuit for pick_design_direction failed: no discovery template with tool=pick_design_direction found for intent '${i.intent_slug}'. The cursor's discovery gate will not clear automatically \u2014 file a bug or fall back to manual handling.`}],isError:!0};let h=[];if(i.archetypes)h=i.archetypes;else if(i.archetypes_file){let g=await nU(J5(i.archetypes_file),"utf-8");h=O.array(m_e).parse(JSON.parse(g))}let m=h[0];g_e({absPath:p.absPath,stage:p.stage,mode:m?"select":"auto",archetype:m?.name,comments:m?`Autopilot auto-selected the first archetype ("${m.name}") \u2014 no SPA picker shown because intent.mode === "autopilot".`:"Autopilot proceeded with no archetype \u2014 intake mode with no candidates. The agent will drive the rest of the design phase from the unit specs.",source:"autopilot"});let y=m?`Autopilot auto-selected the **${m.name}** direction (intent.mode === "autopilot" \u2014 no SPA picker shown). Manifest written at \`${p.absPath}\`.`:`Autopilot proceeded with no archetype selection (intent.mode === "autopilot", no candidates supplied). Manifest written at \`${p.absPath}\`.`;return{content:[{type:"text",text:zn(y,"Call `haiku_run_next` to continue \u2014 the cursor's discovery gate is now cleared.")}]}}}}catch(l){console.error(`[pick_design_direction] autopilot check failed: ${l instanceof Error?l.message:String(l)}. Falling through to the SPA picker.`)}let o=[];if(i.archetypes)o=i.archetypes;else if(i.archetypes_file){let l=await nU(J5(i.archetypes_file),"utf-8");o=O.array(m_e).parse(JSON.parse(l))}let a=yye({intent_slug:i.intent_slug,archetypes:o,context:i.context??""}),c=await GE(),u;if(Bi()){let l=await jg(c);u=vv(a.session_id,l,"direction")}else u=`http://127.0.0.1:${c}/direction/${a.session_id}`;return lp(u,"Direction session"),await t0t(a.session_id,{url:u,intentSlug:i.intent_slug,signal:t})}if(n==="haiku_await_design_direction"){let i=r??{},s=Be(i,Fme,"haiku_await_design_direction");if(s)return s;let o=i,a=o.session_id,c=o.auto_open!==!1,u=o.url??"",l=$t(a);if(!l||l.session_type!=="design_direction")return{content:[{type:"text",text:`Design-direction session ${a} not found or wrong type \u2014 call pick_design_direction to create a new one.`}],isError:!0};let d=o.intent_slug??l.intent_slug??"";return c&&u&&lp(u,"Direction session"),await t0t(a,{url:u,intentSlug:d,signal:t})}return{content:[{type:"text",text:`Unknown tool: ${n}`}],isError:!0}}async function c0t(e,t,n){let r=J5(process.cwd(),e),i=await $1(r);if(!i)throw new Error("Could not parse intent");let s=await B5(r),o=h4(s),a=g4(o,s),c=i.sections.find(k=>k.heading?.toLowerCase().includes("completion criteria")||k.heading?.toLowerCase().includes("success criteria")),u=c?F5(c.content):[],l=jL(i.slug),d=l??O9({intent_dir:r,intent_slug:i.slug,gate_type:t,target:""});t!==void 0&&(d.gate_type=t),n?.gateContext&&(d.gate_context=n.gateContext),n?.stage&&(d.stage=n.stage),n?.nextStage!==void 0&&(d.next_stage=n.nextStage),n?.nextPhase!==void 0&&(d.next_phase=n.nextPhase),l&&d.pending_decision&&(d.pending_decision=null);let{unitOutputs:f,outputDeclaredBy:p}=await o0t(r,d.session_id,s);Object.assign(d,{parsedIntent:i,parsedUnits:s,parsedCriteria:u,parsedMermaid:a,unitOutputs:f,outputDeclaredBy:p});let h=mye(r);h&&(d.previousReview=h);let m=await G5(r),y=await z5(r),g=await V5(r),{outputs:E,other:S}=await W5(r),b=await K5(r);for(let k of[...E,...S,...b])k.relativePath&&(k.intentRelativePath=k.relativePath,k.relativePath=tU(d.session_id,k.relativePath));Object.assign(d,{stageStates:m,knowledgeFiles:y,stageArtifacts:g,outputArtifacts:E,otherFiles:S,intentOtherFiles:b});let _=await GE(),T=Bi(),A=T?vv(d.session_id,await jg(_),"intent"):`http://127.0.0.1:${_}/review/${d.session_id}`,R=l!==void 0,x=R&&lv(d.session_id);return Gd(i.slug,{type:"gate_prepared",session_id:d.session_id,stage:n?.stage??d.stage??"",gate_context:n?.gateContext??d.gate_context??"stage_gate",review_url:A,browser_attached:x}),{session_id:d.session_id,review_url:A,use_remote:T,reused:R,browser_attached:x}}function Oer(e,t,n,r){return!(!e||!t||lv(n)||r&&HL(r))}async function u0t(e,t={}){let{autoOpen:n=!0,signal:r,reviewUrl:i,timeoutMs:s=1800*1e3}=t,o=$t(e);if(!o||o.session_type!=="review")throw new Error(`Gate review session ${e} not found or wrong type \u2014 call haiku_run_next to recreate.`);if(Oer(n,i,e,o.intent_slug)&&lp(i,"Review gate"),o.pending_decision){let u=o.pending_decision;return Pl(e,{pending_decision:null,last_await_started_at:new Date().toISOString(),last_await_ended_at:new Date().toISOString(),await_count:(o.await_count??0)+1}),Gd(o.intent_slug,{type:"pending_decision_changed",session_id:e,queued:!1}),{decision:u.decision,feedback:u.feedback,annotations:u.annotations}}let a=new Date().toISOString(),c=o.await_count??0;Pl(e,{await_active:!0,await_count:c+1,last_await_started_at:a}),Gd(o.intent_slug,{type:"await_state_changed",session_id:e,await_active:!0}),fye(e);try{for(;;){let u=!1;try{await uv(e,s,r)}catch(d){if(r?.aborted)throw d;u=!0}let l=$t(e);if(l&&l.session_type==="review"&&l.pending_decision){let d=l.pending_decision;return Pl(e,{pending_decision:null}),{decision:d.decision,feedback:d.feedback,annotations:d.annotations}}if(u)break;if(hye(e))throw new Error(`Review session ${e} lost presence \u2014 the SPA never opened or the tab disconnected (no heartbeat). Re-open the URL and call haiku_await_gate when ready.`)}throw new Error("Review timeout after 30 minutes")}finally{pye(e),Pl(e,{await_active:!1,last_await_ended_at:new Date().toISOString()}),Gd(o.intent_slug,{type:"await_state_changed",session_id:e,await_active:!1})}}async function l0t(e){let t=em(ve(),"intents",e,"intent.md");if(!p_e(t))return null;let n=await nU(t,"utf-8"),r=re(n).data.studio||"";if(!r)return null;let{findCurrentStage:i}=await Promise.resolve().then(()=>(xa(),k0)),s=i(e,r);if(!s)return null;let a=no(r,s).find(l=>l.kind==="discovery"&&l.tool==="pick_design_direction");if(!a?.location)return null;let c=a.location.replace(/\{intent-slug\}/g,e);return{absPath:em(ve(),"..",c),stage:s,templateBody:a.body}}function g_e(e){r0t(h_e(e.absPath),{recursive:!0});let t={mode:e.mode,stage:e.stage,source:e.source,recorded_at:new Date().toISOString()};e.archetype&&(t.archetype=e.archetype),e.files&&e.files.length>0&&(t.files=e.files),e.comments&&(t.comments=e.comments),e.annotations&&(t.annotations=e.annotations);let n=[];if(e.source==="autopilot"?n.push("# Design Direction (autopilot)","",'Auto-selected by the workflow engine because `intent.mode === "autopilot"`. No SPA picker was shown; the agent drives the rest of the design phase from this anchor.'):n.push("# Design Direction",""),e.mode==="select"&&e.archetype&&n.push("",`**Chosen archetype:** ${e.archetype}`),e.mode==="upload"&&e.files&&e.files.length>0){n.push("",`**Uploaded ${e.files.length} reference file(s):**`);for(let r of e.files)n.push(`- \`${r.path}\`${r.caption?` \u2014 ${r.caption}`:""}`)}e.comments&&n.push("",`**Comments:** ${e.comments}`),i0t(e.absPath,s0t.default.stringify(`${n.join(`
+Now call haiku_await_gate { intent: "${o}" } to block on the user's decision. On approve, the engine stamps ${$==="spec"?"reviews.user":"approvals.user"} on each unit and the cursor advances on the next tick.`}]}):(dp(W,"Ad-hoc review",E.session_id),{content:[{type:"text",text:`Ad-hoc review pane open at ${W} (stage "${h||"(unspecified)"}"). Non-blocking \u2014 keep working. The user browses and closes the pane with Done when finished; any feedback they leave persists to disk and the next \`haiku_run_next\` routes it through the normal fix-loop. No workflow action is required here.`}]})}if(n.startsWith("haiku_")&&!ftr.has(n))return bSe(n,r??{});if(n==="open_review")return{content:[{type:"text",text:"Error: open_review cannot be called directly. Use haiku_run_next to advance \u2014 it validates units and opens the review automatically when ready."}],isError:!0};if(n==="ask_user_visual_question"){let i=ctr.parse(r),s=i.title??"Question",o=i.context??"",a=i.questions,c=i.image_paths??[],u=c.map(h=>A_e(d5(h))),l=kye({title:s,questions:a,context:o,imagePaths:c,imageBaseDirs:u}),d=c.map((h,m)=>`/question-image/${l.session_id}/${m}`),f=await Wb(),p;if(Bi()){let h=await Hg(f);p=Av(l.session_id,h,"question")}else p=`http://127.0.0.1:${f}/question/${l.session_id}`;return dp(p,"Question session",l.session_id),await S0t(l.session_id,{url:p,signal:t})}if(n==="haiku_view"){let i=r??{},s=Be(i,kge,"haiku_view");if(s)return s;let o=i,a=o.mode??"auto",c=o.intent;if(!c){let R=yv();if(R)c=R.slug;else{let A=Te(),x=tm(A,"intents"),k=Fg(x).filter(P=>P.data.status!=="completed");if(k.length===1)c=k[0].slug;else return{content:[{type:"text",text:JSON.stringify({error:"haiku_view_intent_unresolved",message:k.length===0?"No active intents found. Pass `intent` explicitly.":`Multiple active intents (${k.map(P=>P.slug).join(", ")}). Pass \`intent\` explicitly.`})}],isError:!0}}}let u=pe(c);if(!R_e(u))return{content:[{type:"text",text:JSON.stringify({error:"haiku_view_intent_not_found",message:`Intent "${c}" not found at ${u}.`})}],isError:!0};let l=a==="boot"||a==="auto",d=o.cwd?tm(u,o.cwd):u,f=null,p=null;if(l&&o.processes&&o.processes.length>0){if(o.command&&o.command.length>0)return{content:[{type:"text",text:JSON.stringify({error:"haiku_view_input_invalid",message:"`command` and `processes` are mutually exclusive. Use `command` for a one-process boot and `processes` for a stack."})}],isError:!0};f=o.processes.map(x=>({name:x.name,command:x.command,cwd:x.cwd?tm(u,x.cwd):u,port_env:x.port_env,ready_url:x.ready_url,depends_on:x.depends_on,no_port:x.no_port}));let R=f.filter(x=>!x.no_port);if(o.primary)p=o.primary;else if(R.length===1)p=R[0].name;else return{content:[{type:"text",text:JSON.stringify({error:"haiku_view_primary_required",message:`\`processes\` has ${R.length} port-bound entries (${R.map(x=>x.name).join(", ")}). Set \`primary: "<name>"\` to tell the engine which one's URL Playwright should drive.`})}],isError:!0};let A=new Set(f.map(x=>x.name));if(!A.has(p))return{content:[{type:"text",text:JSON.stringify({error:"haiku_view_primary_not_in_group",message:`\`primary: "${p}"\` does not match any process name in the group (${[...A].join(", ")}).`})}],isError:!0}}if(l&&!f&&!(o.command&&o.command.length>0)){let R=null;try{R=Cye(A_e(Te()))}catch(A){return{content:[{type:"text",text:JSON.stringify({error:"haiku_view_boot_recipe_invalid",message:A instanceof Error?A.message:String(A)})}],isError:!0}}R&&(f=R.processes,p=R.primary)}let h=null;if(l&&!f&&(o.command&&o.command.length>0?h=hSt(o.command,d):h=mSt(d)),a==="boot"&&!f&&!h)return{content:[{type:"text",text:JSON.stringify({error:"haiku_view_no_boot_target",message:`No boot target supplied, no \`.haiku/boot.md\` recipe, and no package.json dev/start script found in ${d}. Either: (a) retry haiku_view with \`command: [...]\` for a one-process app (e.g. \`["uvicorn", "app:main"]\`, \`["bin/dev"]\`, \`["go", "run", "./cmd/server"]\`) or \`processes: [...]\` with \`primary: "<name>"\` for a stack; or (b) commit a \`.haiku/boot.md\` recipe so every agent on every harness boots this app the same way without rediscovering it (frontmatter: \`command:\`/\`processes:\`, \`cwd:\`, \`env:\`, \`ready_url:\`). The engine sets PORT + HOST env vars before spawning each process and exposes \`<DEP_NAME>_PORT\` + \`<DEP_NAME>_URL\` for service discovery between dependents.`})}],isError:!0};let m;try{let A=(await fU(u))?.frontmatter;A&&typeof A.studio=="string"&&A.studio&&(m=A.studio)}catch{}let g=f||h?"boot":"viewer",y=Oye({intent_dir:u,intent_slug:c,studio:m,stage:o.stage,artifact:o.artifact,mode:g});if(g==="boot"&&(f||h))try{let R,A,x,k;if(f&&p){let N=await Mye(y.session_id,f,p);if(N.primary.port===null)throw new Error(`primary process "${p}" has no port \u2014 cannot return URL`);R=N.primary.port,A=N.primary.command,x=N.primary.pid,k=N.processes}else if(h){let N=await ySt(y.session_id,h);if(N.port===null)throw new Error("single-process boot returned null port");R=N.port,A=N.command,x=N.pid}else throw new Error("boot mode reached without group or detection");Pye(y.session_id,{boot_port:R,boot_pid:x,boot_command:A});let P=`http://127.0.0.1:${R}/`;return{content:[{type:"text",text:JSON.stringify({session_id:y.session_id,url:P,mode:"boot",intent:c,stage:o.stage??null,artifact:o.artifact??null,boot_command:A,processes:k,note:"Hand the `url` to the bundled `haiku-playwright` MCP. The dev process(es) stay up until `haiku_view_close` (or the 30min TTL). Call `haiku_view_close` with the `session_id` when done \u2014 the engine kills the whole group."})}]}}catch(R){return L0(y.session_id),{content:[{type:"text",text:JSON.stringify({error:"haiku_view_boot_failed",message:R instanceof Error?R.message:String(R),boot_command:f?f.map(A=>`${A.name}: ${A.command.join(" ")}`).join("; "):h?.description})}],isError:!0}}let b=await Wb(),S=Bi()?Av(y.session_id,await Hg(b),"view"):`http://127.0.0.1:${b}/view/${y.session_id}`,E=new URLSearchParams;o.stage&&E.set("stage",o.stage),o.artifact&&E.set("artifact",o.artifact);let _=E.toString(),T=_?`${S}${S.includes("?")?"&":"?"}${_}`:S;return{content:[{type:"text",text:JSON.stringify({session_id:y.session_id,url:T,mode:"viewer",intent:c,stage:o.stage??null,artifact:o.artifact??null,note:"Hand the `url` to the bundled `haiku-playwright` MCP. When done, call `haiku_view_close` with the `session_id`."})}]}}if(n==="haiku_view_close"){let i=r??{},s=Be(i,Ige,"haiku_view_close");if(s)return s;let o=i,a=$t(o.session_id),c=a?.session_type==="view",l=c&&a.mode==="boot"?F0(o.session_id):!1,d=L0(o.session_id);return{content:[{type:"text",text:JSON.stringify({closed:d,session_id:o.session_id,was_view_session:c,killed_boot_process:l})}]}}if(n==="haiku_await_visual_answer"){let i=r??{},s=Be(i,Kme,"haiku_await_visual_answer");if(s)return s;let o=i,a=o.session_id,c=o.auto_open!==!1,u=o.url??"",l=$t(a);return!l||l.session_type!=="question"?{content:[{type:"text",text:`Question session ${a} not found or wrong type \u2014 call ask_user_visual_question to create a new one.`}],isError:!0}:(c&&u&&dp(u,"Question session"),await S0t(a,{url:u,signal:t}))}if(n==="pick_design_direction"){let i=utr.parse(r),s=i.title??"Design Direction";try{let l=tm(Te(),"intents",i.intent_slug,"intent.md");if(R_e(l)){let d=await mU(l,"utf-8");if((re(d).data.mode||"")==="autopilot"){let p=await w0t(i.intent_slug);if(!p)return{content:[{type:"text",text:`Autopilot short-circuit for pick_design_direction failed: no discovery template with tool=pick_design_direction found for intent '${i.intent_slug}'. The cursor's discovery gate will not clear automatically \u2014 file a bug or fall back to manual handling.`}],isError:!0};let h=[];if(i.archetypes)h=i.archetypes;else if(i.archetypes_file){let y=await mU(d5(i.archetypes_file),"utf-8");h=O.array(w_e).parse(JSON.parse(y))}let m=h[0];k_e({absPath:p.absPath,stage:p.stage,mode:m?"select":"auto",archetype:m?.name,comments:m?`Autopilot auto-selected the first archetype ("${m.name}") \u2014 no SPA picker shown because intent.mode === "autopilot".`:"Autopilot proceeded with no archetype \u2014 intake mode with no candidates. The agent will drive the rest of the design phase from the unit specs.",source:"autopilot"});let g=m?`Autopilot auto-selected the **${m.name}** direction (intent.mode === "autopilot" \u2014 no SPA picker shown). Manifest written at \`${p.absPath}\`.`:`Autopilot proceeded with no archetype selection (intent.mode === "autopilot", no candidates supplied). Manifest written at \`${p.absPath}\`.`;return{content:[{type:"text",text:Gn(g,"Call `haiku_run_next` to continue \u2014 the cursor's discovery gate is now cleared.")}]}}}}catch(l){console.error(`[pick_design_direction] autopilot check failed: ${l instanceof Error?l.message:String(l)}. Falling through to the SPA picker.`)}let o=[];if(i.archetypes)o=i.archetypes;else if(i.archetypes_file){let l=await mU(d5(i.archetypes_file),"utf-8");o=O.array(w_e).parse(JSON.parse(l))}let a=Iye({intent_slug:i.intent_slug,archetypes:o,context:i.context??""}),c=await Wb(),u;if(Bi()){let l=await Hg(c);u=Av(a.session_id,l,"direction")}else u=`http://127.0.0.1:${c}/direction/${a.session_id}`;return dp(u,"Direction session"),await y0t(a.session_id,{url:u,intentSlug:i.intent_slug,signal:t})}if(n==="haiku_await_design_direction"){let i=r??{},s=Be(i,Yme,"haiku_await_design_direction");if(s)return s;let o=i,a=o.session_id,c=o.auto_open!==!1,u=o.url??"",l=$t(a);if(!l||l.session_type!=="design_direction")return{content:[{type:"text",text:`Design-direction session ${a} not found or wrong type \u2014 call pick_design_direction to create a new one.`}],isError:!0};let d=o.intent_slug??l.intent_slug??"";return c&&u&&dp(u,"Direction session"),await y0t(a,{url:u,intentSlug:d,signal:t})}return{content:[{type:"text",text:`Unknown tool: ${n}`}],isError:!0}}async function R0t(e,t,n){let r=d5(process.cwd(),e),i=await fU(r);if(!i)throw new Error("Could not parse intent");let s=await r5(r),o=I3(s),a=O3(o,s),c=i.sections.find(k=>k.heading?.toLowerCase().includes("completion criteria")||k.heading?.toLowerCase().includes("success criteria")),u=c?e5(c.content):[],l=XL(i.slug),d=l??GY({intent_dir:r,intent_slug:i.slug,gate_type:t,target:""});t!==void 0&&(d.gate_type=t),n?.gateContext&&(d.gate_context=n.gateContext),n?.stage&&(d.stage=n.stage),n?.nextStage!==void 0&&(d.next_stage=n.nextStage),n?.nextPhase!==void 0&&(d.next_phase=n.nextPhase),l&&d.pending_decision&&(d.pending_decision=null);let{unitOutputs:f,outputDeclaredBy:p}=await T0t(r,d.session_id,s);Object.assign(d,{parsedIntent:i,parsedUnits:s,parsedCriteria:u,parsedMermaid:a,unitOutputs:f,outputDeclaredBy:p});let h=wye(r);h&&(d.previousReview=h);let m=await i5(r),g=await s5(r),y=await o5(r),{outputs:b,other:S}=await a5(r),E=await c5(r);for(let k of[...b,...S,...E])k.relativePath&&(k.intentRelativePath=k.relativePath,k.relativePath=hU(d.session_id,k.relativePath));Object.assign(d,{stageStates:m,knowledgeFiles:g,stageArtifacts:y,outputArtifacts:b,otherFiles:S,intentOtherFiles:E});let _=await Wb(),T=Bi(),R=T?Av(d.session_id,await Hg(_),"intent"):`http://127.0.0.1:${_}/review/${d.session_id}`,A=l!==void 0,x=A&&dv(d.session_id);return Wd(i.slug,{type:"gate_prepared",session_id:d.session_id,stage:n?.stage??d.stage??"",gate_context:n?.gateContext??d.gate_context??"stage_gate",review_url:R,browser_attached:x}),{session_id:d.session_id,review_url:R,use_remote:T,reused:A,browser_attached:x}}function ptr(e,t,n,r){return!(!e||!t||dv(n)||r&&QL(r))}async function A0t(e,t={}){let{autoOpen:n=!0,signal:r,reviewUrl:i,timeoutMs:s=1800*1e3}=t,o=$t(e);if(!o||o.session_type!=="review")throw new Error(`Gate review session ${e} not found or wrong type \u2014 call haiku_run_next to recreate.`);if(ptr(n,i,e,o.intent_slug)&&dp(i,"Review gate"),o.pending_decision){let u=o.pending_decision;return Ml(e,{pending_decision:null,last_await_started_at:new Date().toISOString(),last_await_ended_at:new Date().toISOString(),await_count:(o.await_count??0)+1}),Wd(o.intent_slug,{type:"pending_decision_changed",session_id:e,queued:!1}),{decision:u.decision,feedback:u.feedback,annotations:u.annotations}}let a=new Date().toISOString(),c=o.await_count??0;Ml(e,{await_active:!0,await_count:c+1,last_await_started_at:a}),Wd(o.intent_slug,{type:"await_state_changed",session_id:e,await_active:!0}),vye(e);try{for(;;){let u=!1;try{await lv(e,s,r)}catch(d){if(r?.aborted)throw d;u=!0}let l=$t(e);if(l&&l.session_type==="review"&&l.pending_decision){let d=l.pending_decision;return Ml(e,{pending_decision:null}),{decision:d.decision,feedback:d.feedback,annotations:d.annotations}}if(u)break;if(Aye(e))throw new Error(`Review session ${e} lost presence \u2014 the SPA never opened or the tab disconnected (no heartbeat). Re-open the URL and call haiku_await_gate when ready.`)}throw new Error("Review timeout after 30 minutes")}finally{Rye(e),Ml(e,{await_active:!1,last_await_ended_at:new Date().toISOString()}),Wd(o.intent_slug,{type:"await_state_changed",session_id:e,await_active:!1})}}async function w0t(e){let t=tm(Te(),"intents",e,"intent.md");if(!R_e(t))return null;let n=await mU(t,"utf-8"),r=re(n).data.studio||"";if(!r)return null;let{findCurrentStage:i}=await Promise.resolve().then(()=>(Oa(),O0)),s=i(e,r);if(!s)return null;let a=no(r,s).find(l=>l.kind==="discovery"&&l.tool==="pick_design_direction");if(!a?.location)return null;let c=a.location.replace(/\{intent-slug\}/g,e);return{absPath:tm(Te(),"..",c),stage:s,templateBody:a.body}}function k_e(e){b0t(A_e(e.absPath),{recursive:!0});let t={mode:e.mode,stage:e.stage,source:e.source,recorded_at:new Date().toISOString()};e.archetype&&(t.archetype=e.archetype),e.files&&e.files.length>0&&(t.files=e.files),e.comments&&(t.comments=e.comments),e.annotations&&(t.annotations=e.annotations);let n=[];if(e.source==="autopilot"?n.push("# Design Direction (autopilot)","",'Auto-selected by the workflow engine because `intent.mode === "autopilot"`. No SPA picker was shown; the agent drives the rest of the design phase from this anchor.'):n.push("# Design Direction",""),e.mode==="select"&&e.archetype&&n.push("",`**Chosen archetype:** ${e.archetype}`),e.mode==="upload"&&e.files&&e.files.length>0){n.push("",`**Uploaded ${e.files.length} reference file(s):**`);for(let r of e.files)n.push(`- \`${r.path}\`${r.caption?` \u2014 ${r.caption}`:""}`)}e.comments&&n.push("",`**Comments:** ${e.comments}`),E0t(e.absPath,_0t.default.stringify(`${n.join(`
 `)}
-`,t))}async function t0t(e,t={}){let{url:n="",intentSlug:r="",signal:i,timeoutMs:s=1800*1e3}=t;try{await uv(e,s,i)}catch(l){if(i?.aborted)throw l;return{content:[{type:"text",text:JSON.stringify({status:"timeout",url:n,session_id:e,message:"User did not respond within 30 minutes. Call haiku_await_design_direction to keep waiting, or haiku_run_next to advance from durable state if a selection landed."},null,2)}]}}let o=$t(e);if(!o||o.session_type!=="design_direction"||o.status!=="answered"||!o.selection)return{content:[{type:"text",text:"The user did not select a design direction within the time limit. Ask them how they'd like to proceed."}]};let a=o.selection;if(a.mode==="regenerate"){let l=o.archetypes?.length??0,d=Math.max(l-a.keep.length,0),f=a.keep.length>0?`The user wants more variants. They'd like to keep: **${a.keep.join("**, **")}**.${a.comments?` Steering notes: ${a.comments}`:""}`:`The user wants more variants. None of the current archetypes are keepers.${a.comments?` Steering notes: ${a.comments}`:""}`,p=d>0?`Generate ${d} replacement archetype${d===1?"":"s"} for the dropped slot${d===1?"":"s"} and call \`pick_design_direction\` again with the merged set.`:"Generate replacement archetype(s) for the dropped slot(s) and call `pick_design_direction` again with the merged set.";return{content:[{type:"text",text:zn(f,p)}]}}if(a.mode==="generate"){let l=a.comments?`The user has no existing designs and wants you to generate variants. Steering notes: ${a.comments}`:"The user has no existing designs and wants you to generate variants.";return{content:[{type:"text",text:zn(l,"Generate 2-3 distinct archetypes (HTML wireframe snippets \u2014 different layouts, interaction patterns, or visual hierarchies) and call `pick_design_direction` again with `archetypes` populated.")}]}}if(r)try{let l=await nU(em(ve(),"intents",r,"intent.md"),"utf-8"),d=re(l).data.studio||"",{findCurrentStage:f}=await Promise.resolve().then(()=>(xa(),k0)),p=d?f(r,d)??"":"";if(p){let h=gr(r,p);h.ok||console.warn(`[awaitDesignDirectionSession] stage-branch enforcement failed: ${h.message}`)}}catch(l){console.warn(`[awaitDesignDirectionSession] post-wait branch reconciliation skipped: ${l instanceof Error?l.message:String(l)}`)}let c=r&&(a.mode==="upload"||a.mode==="select")?await l0t(r):null;if(a.mode==="upload"){let l=a.files.map((f,p)=>`  ${p+1}. \`${f.path}\`${f.caption?` \u2014 ${f.caption}`:""}`).join(`
-`);if(c)try{g_e({absPath:c.absPath,stage:c.stage,mode:"upload",files:a.files,comments:a.comments,source:"spa-picker"})}catch(f){console.error(`[awaitDesignDirectionSession] manifest write failed (upload): ${f instanceof Error?f.message:String(f)}. The discovery gate will NOT clear \u2014 file a bug.`)}let d=[`The user uploaded ${a.files.length} design file${a.files.length===1?"":"s"} as the chosen direction (no archetype generation needed):`,l];return a.comments&&d.push(`Comments: ${a.comments}`),{content:[{type:"text",text:zn(d.join(`
-`),"Call `haiku_run_next` to continue \u2014 the workflow will surface the upload paths so you can `Read` each file and incorporate the designs into elaboration.")}]}}if(c)try{g_e({absPath:c.absPath,stage:c.stage,mode:"select",archetype:a.archetype,comments:a.comments,annotations:a.annotations,source:"spa-picker"})}catch(l){console.error(`[awaitDesignDirectionSession] manifest write failed (select): ${l instanceof Error?l.message:String(l)}. The discovery gate will NOT clear \u2014 file a bug.`)}let u=[`The user selected the **${a.archetype}** direction.`];if(a.comments&&u.push(`Comments: ${a.comments}`),a.annotations?.pins?.length){u.push(`Pin annotations (${a.annotations.pins.length}):`);for(let l of a.annotations.pins)u.push(`  - [${l.x.toFixed(1)}%, ${l.y.toFixed(1)}%]: ${l.text||"(no text)"}`)}return{content:[{type:"text",text:zn(u.join(`
-`),"Call `haiku_run_next` to continue \u2014 the workflow will surface any screenshot annotations the user attached.")}]}}async function n0t(e,t={}){let{url:n="",signal:r,timeoutMs:i=1800*1e3}=t,s=()=>{let u=$t(e);if(!u||u.session_type!=="question"||u.status!=="answered"||!u.answers)return null;let l={},d=u.annotations;d?.comments?.length&&(l.comments=d.comments),d?.pins?.length&&(l.pins=d.pins),d?.screenshots?.length&&(l.screenshot_count=d.screenshots.length);let f={status:"answered",url:n,answers:u.answers,message:zn("The user answered your visual question \u2014 see the `answers` field below.","Acknowledge their answer in chat and continue with whatever the answer enables.")};u.feedback&&(f.feedback=u.feedback),Object.keys(l).length>0&&(f.annotations=l);let p=[{type:"text",text:JSON.stringify(f,null,2)}],h=d?.screenshots??[];if(h.length>0){p.push({type:"text",text:`
-${h.length} screenshot annotation${h.length===1?"":"s"} attached below \u2014 each pair is the reviewer's note + the captured surface they were drawing on.`});for(let m=0;m<h.length;m++){let y=h[m];p.push({type:"text",text:`
-Annotation ${m+1} (image ${y.image_index+1}): ${y.comment}`});let g=/^data:(image\/[a-z+]+);base64,(.+)$/i.exec(y.screenshot_data_url);g?p.push({type:"image",mimeType:g[1],data:g[2]}):p.push({type:"text",text:`(screenshot for annotation ${m+1} could not be decoded)`})}}return{content:p}},o=s();if(o)return o;let a=Date.now()+i,c="User did not respond within 30 minutes. Call haiku_await_visual_answer to keep waiting, or ask_user_visual_question to start a new session.";for(;;){let u=a-Date.now();if(u<=0)break;try{await uv(e,u,r)}catch(d){if(r?.aborted)throw d;return{content:[{type:"text",text:JSON.stringify({status:"timeout",session_id:e,...n?{url:n}:{},message:c},null,2)}]}}let l=s();if(l)return l}return{content:[{type:"text",text:JSON.stringify({status:"timeout",session_id:e,...n?{url:n}:{},message:c},null,2)}]}}var s0t,Rer,m_e,wer,ker,xer,X5=v(()=>{"use strict";s0t=Se(Xt(),1);Sl();vr();a5();GIt();rx();R1();zd();e0t();ih();Xc();u_e();ji();uo();ze();Kn();Fv();iU();Jh();d_e();VL();Rer=O.object({questions:O.array(O.object({question:O.string().describe("The question text"),header:O.string().optional().describe("Optional header/subtitle for the question"),options:O.array(O.string()).describe("Answer options to choose from"),multiSelect:O.boolean().optional().describe("Allow multiple selections (default: single)")})).describe("Array of questions to present"),context:O.string().optional().describe("Optional markdown context to display above questions"),title:O.string().optional().describe("Optional page title (default: 'Question')"),image_paths:O.array(O.string()).optional().describe("Optional array of local image file paths to display alongside the questions. Images are displayed in pairs (ref on left, built on right) for visual comparison.")}),m_e=O.object({name:O.string().describe("Archetype name"),description:O.string().describe("Brief description of this archetype"),preview_html:O.string().describe("HTML snippet to render as a preview")}),wer=O.object({intent_slug:O.string().describe("The intent slug this direction applies to"),context:O.string().optional().describe("Optional markdown preamble shown above the archetype cards. Use it to give the user the context they need to choose well \u2014 what this direction governs, what's already been decided, what tradeoffs each option leans into. Mirrors `context` on ask_user_visual_question."),archetypes:O.array(m_e).optional().describe('Inline array of design archetypes to choose from. Omit (or pass an empty array) on the FIRST call to enter intake mode \u2014 the picker asks whether the user has designs to upload before any generation work happens. Pass archetypes only after the user responds with `mode: "generate"`.'),archetypes_file:O.string().optional().describe("Path to a JSON file containing the archetypes array (alternative to inline archetypes)"),title:O.string().optional().describe("Optional page title (default: 'Design Direction')")});ker="/tmp/haiku-session-cancel.log";xer=new Set(["haiku_view","haiku_view_close","haiku_await_visual_answer","haiku_await_design_direction"])});async function Wu(e){if(e.options.length===0)throw new Error("runPicker called with empty options array");let t=process.env.HAIKU_TEST_PICKER_AUTO_SELECT;if(t){let a=e.options.find(c=>c.id===t);if(a)return{sessionId:"test-auto",url:"",selection:{id:a.id},timedOut:!1}}let n=Sye({intent_slug:e.intentSlug,kind:e.kind,title:e.title,prompt:e.prompt,options:e.options}),r=await GE(),i;if(Bi()){let a=await jg(r),{buildReviewUrl:c}=await Promise.resolve().then(()=>(Jh(),n_t));i=c(n.session_id,a,"picker")}else i=`http://127.0.0.1:${r}/picker/${n.session_id}`;e.autoOpen!==!1&&lp(i,`${e.kind} picker`);let s=e.timeoutMs??Ner,o=$t(n.session_id);if(o&&o.session_type==="picker"&&o.status==="answered"&&o.selection)return{sessionId:n.session_id,url:i,selection:o.selection,timedOut:!1};for(;;){let a=!1;try{await uv(n.session_id,s,e.signal)}catch(u){if(e.signal?.aborted)throw u;a=!0}let c=$t(n.session_id);if(c&&c.session_type==="picker"&&c.status==="answered"&&c.selection)return{sessionId:n.session_id,url:i,selection:c.selection,timedOut:!1};if(a)return{sessionId:n.session_id,url:i,selection:null,timedOut:!0}}}var Ner,ZE=v(()=>{"use strict";a5();Xc();Jh();X5();Ner=1800*1e3});function YE(e){return{content:[{type:"text",text:JSON.stringify(e)}],isError:!0}}function Per(e,t){switch(e){case"force_stage_complete":return`Sign every review + approval + intent_quality_gates for every unit in stages up to and including '${t.stage}'. Refuses units that haven't reached terminal hat advance.`;case"set_intent_field":return t.fields&&typeof t.fields=="object"?`Set ${Object.keys(t.fields).length} intent.md frontmatter fields in one call: ${JSON.stringify(t.fields)}.`:`Set intent.md frontmatter field '${t.field}' to ${JSON.stringify(t.value)}.`;case"reset_drift":return"Re-stamp every witnessed slot (reviews + approvals on every unit) with the CURRENT on-disk SHA. Drift sweep will stop firing on the same SHA mismatch.";case"set_unit_iterations":return Array.isArray(t.iterations)&&t.iterations.length>0?`Hand-write iterations[] on unit '${t.unit}' in stage '${t.stage}' (${t.iterations.length} entries). This is the FSM-driven field agents normally cannot touch \u2014 the debug op bypasses the schema gate.`:`Synthesize iterations[] on unit '${t.unit}' in stage '${t.stage}' \u2014 one 'advance' entry per hat in the stage's hats sequence. Use to mark a legacy/partial unit as "moved through every hat" so force_stage_complete will sign it.`;case"mutate_feedback":return Array.isArray(t.feedback_ids)&&t.feedback_ids.length>0?`Apply FM patch to ${t.feedback_ids.length} feedback records (${t.feedback_ids.join(", ")}): ${JSON.stringify(t.patch)}. Bypasses lifecycle guards.`:`Apply FM patch to feedback ${t.feedback_id}: ${JSON.stringify(t.patch)}. Bypasses lifecycle guards.`;default:return e}}var d0t,f0t=v(()=>{"use strict";rEe();ZE();ji();uo();Gi();vs();d0t={name:"haiku_debug",description:"ADMIN: bypass-the-FSM tools to unstick corrupt intents. Force a stage complete (signs all reviews/approvals/QGs for units that have moved through every hat), set an intent field (mode, etc.), reset drift (re-stamp witnesses), mutate any feedback frontmatter, or preview the next cursor head after edits. Every mutation requires SPA-picker confirmation \u2014 the agent cannot act unilaterally. Use only when the normal workflow can't recover (corrupt FM, stuck loop, lost stamps).",inputSchema:u0,async handle(e,t){let n=Be(e,jme,"haiku_debug");if(n)return n;let r=Vg({intent:e.intent,stage:e.stage,feedback_id:e.feedback_id,unit:e.unit});if(r)return r;if(Array.isArray(e.feedback_ids))for(let l of e.feedback_ids){let d=Vg({feedback_id:l});if(d)return d}let i=e.intent,s=e.op;if(!IL.includes(s))return YE({error:"unsupported_op",message:`Unknown op '${s}'. Supported: ${IL.join(", ")}.`});if(s==="preview_cursor")try{let l=CY({slug:i});return ye(JSON.stringify(l))}catch(l){return YE({error:"preview_cursor_threw",detail:l instanceof Error?l.message:String(l)})}let o=Per(s,e),a=typeof e.reason=="string"&&e.reason.trim().length>0?e.reason.trim():null,c=a?`Why: ${a}
+`,t))}async function y0t(e,t={}){let{url:n="",intentSlug:r="",signal:i,timeoutMs:s=1800*1e3}=t;try{await lv(e,s,i)}catch(l){if(i?.aborted)throw l;return{content:[{type:"text",text:JSON.stringify({status:"timeout",url:n,session_id:e,message:"User did not respond within 30 minutes. Call haiku_await_design_direction to keep waiting, or haiku_run_next to advance from durable state if a selection landed."},null,2)}]}}let o=$t(e);if(!o||o.session_type!=="design_direction"||o.status!=="answered"||!o.selection)return{content:[{type:"text",text:"The user did not select a design direction within the time limit. Ask them how they'd like to proceed."}]};let a=o.selection;if(a.mode==="regenerate"){let l=o.archetypes?.length??0,d=Math.max(l-a.keep.length,0),f=a.keep.length>0?`The user wants more variants. They'd like to keep: **${a.keep.join("**, **")}**.${a.comments?` Steering notes: ${a.comments}`:""}`:`The user wants more variants. None of the current archetypes are keepers.${a.comments?` Steering notes: ${a.comments}`:""}`,p=d>0?`Generate ${d} replacement archetype${d===1?"":"s"} for the dropped slot${d===1?"":"s"} and call \`pick_design_direction\` again with the merged set.`:"Generate replacement archetype(s) for the dropped slot(s) and call `pick_design_direction` again with the merged set.";return{content:[{type:"text",text:Gn(f,p)}]}}if(a.mode==="generate"){let l=a.comments?`The user has no existing designs and wants you to generate variants. Steering notes: ${a.comments}`:"The user has no existing designs and wants you to generate variants.";return{content:[{type:"text",text:Gn(l,"Generate 2-3 distinct archetypes (HTML wireframe snippets \u2014 different layouts, interaction patterns, or visual hierarchies) and call `pick_design_direction` again with `archetypes` populated.")}]}}if(r)try{let l=await mU(tm(Te(),"intents",r,"intent.md"),"utf-8"),d=re(l).data.studio||"",{findCurrentStage:f}=await Promise.resolve().then(()=>(Oa(),O0)),p=d?f(r,d)??"":"";if(p){let h=gr(r,p);h.ok||console.warn(`[awaitDesignDirectionSession] stage-branch enforcement failed: ${h.message}`)}}catch(l){console.warn(`[awaitDesignDirectionSession] post-wait branch reconciliation skipped: ${l instanceof Error?l.message:String(l)}`)}let c=r&&(a.mode==="upload"||a.mode==="select")?await w0t(r):null;if(a.mode==="upload"){let l=a.files.map((f,p)=>`  ${p+1}. \`${f.path}\`${f.caption?` \u2014 ${f.caption}`:""}`).join(`
+`);if(c)try{k_e({absPath:c.absPath,stage:c.stage,mode:"upload",files:a.files,comments:a.comments,source:"spa-picker"})}catch(f){console.error(`[awaitDesignDirectionSession] manifest write failed (upload): ${f instanceof Error?f.message:String(f)}. The discovery gate will NOT clear \u2014 file a bug.`)}let d=[`The user uploaded ${a.files.length} design file${a.files.length===1?"":"s"} as the chosen direction (no archetype generation needed):`,l];return a.comments&&d.push(`Comments: ${a.comments}`),{content:[{type:"text",text:Gn(d.join(`
+`),"Call `haiku_run_next` to continue \u2014 the workflow will surface the upload paths so you can `Read` each file and incorporate the designs into elaboration.")}]}}if(c)try{k_e({absPath:c.absPath,stage:c.stage,mode:"select",archetype:a.archetype,comments:a.comments,annotations:a.annotations,source:"spa-picker"})}catch(l){console.error(`[awaitDesignDirectionSession] manifest write failed (select): ${l instanceof Error?l.message:String(l)}. The discovery gate will NOT clear \u2014 file a bug.`)}let u=[`The user selected the **${a.archetype}** direction.`];if(a.comments&&u.push(`Comments: ${a.comments}`),a.annotations?.pins?.length){u.push(`Pin annotations (${a.annotations.pins.length}):`);for(let l of a.annotations.pins)u.push(`  - [${l.x.toFixed(1)}%, ${l.y.toFixed(1)}%]: ${l.text||"(no text)"}`)}return{content:[{type:"text",text:Gn(u.join(`
+`),"Call `haiku_run_next` to continue \u2014 the workflow will surface any screenshot annotations the user attached.")}]}}async function S0t(e,t={}){let{url:n="",signal:r,timeoutMs:i=1800*1e3}=t,s=()=>{let u=$t(e);if(!u||u.session_type!=="question"||u.status!=="answered"||!u.answers)return null;let l={},d=u.annotations;d?.comments?.length&&(l.comments=d.comments),d?.pins?.length&&(l.pins=d.pins),d?.screenshots?.length&&(l.screenshot_count=d.screenshots.length);let f={status:"answered",url:n,answers:u.answers,message:Gn("The user answered your visual question \u2014 see the `answers` field below.","Acknowledge their answer in chat and continue with whatever the answer enables.")};u.feedback&&(f.feedback=u.feedback),Object.keys(l).length>0&&(f.annotations=l);let p=[{type:"text",text:JSON.stringify(f,null,2)}],h=d?.screenshots??[];if(h.length>0){p.push({type:"text",text:`
+${h.length} screenshot annotation${h.length===1?"":"s"} attached below \u2014 each pair is the reviewer's note + the captured surface they were drawing on.`});for(let m=0;m<h.length;m++){let g=h[m];p.push({type:"text",text:`
+Annotation ${m+1} (image ${g.image_index+1}): ${g.comment}`});let y=/^data:(image\/[a-z+]+);base64,(.+)$/i.exec(g.screenshot_data_url);y?p.push({type:"image",mimeType:y[1],data:y[2]}):p.push({type:"text",text:`(screenshot for annotation ${m+1} could not be decoded)`})}}return{content:p}},o=s();if(o)return o;let a=Date.now()+i,c="User did not respond within 30 minutes. Call haiku_await_visual_answer to keep waiting, or ask_user_visual_question to start a new session.";for(;;){let u=a-Date.now();if(u<=0)break;try{await lv(e,u,r)}catch(d){if(r?.aborted)throw d;return{content:[{type:"text",text:JSON.stringify({status:"timeout",session_id:e,...n?{url:n}:{},message:c},null,2)}]}}let l=s();if(l)return l}return{content:[{type:"text",text:JSON.stringify({status:"timeout",session_id:e,...n?{url:n}:{},message:c},null,2)}]}}var _0t,ctr,w_e,utr,ltr,ftr,f5=v(()=>{"use strict";_0t=Re(Kt(),1);_l();yr();v6();s0t();ux();U1();Kd();g0t();sh();$c();E_e();ji();uo();Ge();Kn();Hv();yU();Xh();T_e();r1();ctr=O.object({questions:O.array(O.object({question:O.string().describe("The question text"),header:O.string().optional().describe("Optional header/subtitle for the question"),options:O.array(O.string()).describe("Answer options to choose from"),multiSelect:O.boolean().optional().describe("Allow multiple selections (default: single)")})).describe("Array of questions to present"),context:O.string().optional().describe("Optional markdown context to display above questions"),title:O.string().optional().describe("Optional page title (default: 'Question')"),image_paths:O.array(O.string()).optional().describe("Optional array of local image file paths to display alongside the questions. Images are displayed in pairs (ref on left, built on right) for visual comparison.")}),w_e=O.object({name:O.string().describe("Archetype name"),description:O.string().describe("Brief description of this archetype"),preview_html:O.string().describe("HTML snippet to render as a preview")}),utr=O.object({intent_slug:O.string().describe("The intent slug this direction applies to"),context:O.string().optional().describe("Optional markdown preamble shown above the archetype cards. Use it to give the user the context they need to choose well \u2014 what this direction governs, what's already been decided, what tradeoffs each option leans into. Mirrors `context` on ask_user_visual_question."),archetypes:O.array(w_e).optional().describe('Inline array of design archetypes to choose from. Omit (or pass an empty array) on the FIRST call to enter intake mode \u2014 the picker asks whether the user has designs to upload before any generation work happens. Pass archetypes only after the user responds with `mode: "generate"`.'),archetypes_file:O.string().optional().describe("Path to a JSON file containing the archetypes array (alternative to inline archetypes)"),title:O.string().optional().describe("Optional page title (default: 'Design Direction')")});ltr="/tmp/haiku-session-cancel.log";ftr=new Set(["haiku_view","haiku_view_close","haiku_await_visual_answer","haiku_await_design_direction"])});async function Ju(e){if(e.options.length===0)throw new Error("runPicker called with empty options array");let t=process.env.HAIKU_TEST_PICKER_AUTO_SELECT;if(t){let a=e.options.find(c=>c.id===t);if(a)return{sessionId:"test-auto",url:"",selection:{id:a.id},timedOut:!1}}let n=xye({intent_slug:e.intentSlug,kind:e.kind,title:e.title,prompt:e.prompt,options:e.options}),r=await Wb(),i;if(Bi()){let a=await Hg(r),{buildReviewUrl:c}=await Promise.resolve().then(()=>(Xh(),T_t));i=c(n.session_id,a,"picker")}else i=`http://127.0.0.1:${r}/picker/${n.session_id}`;e.autoOpen!==!1&&dp(i,`${e.kind} picker`);let s=e.timeoutMs??htr,o=$t(n.session_id);if(o&&o.session_type==="picker"&&o.status==="answered"&&o.selection)return{sessionId:n.session_id,url:i,selection:o.selection,timedOut:!1};for(;;){let a=!1;try{await lv(n.session_id,s,e.signal)}catch(u){if(e.signal?.aborted)throw u;a=!0}let c=$t(n.session_id);if(c&&c.session_type==="picker"&&c.status==="answered"&&c.selection)return{sessionId:n.session_id,url:i,selection:c.selection,timedOut:!1};if(a)return{sessionId:n.session_id,url:i,selection:null,timedOut:!0}}}var htr,Xb=v(()=>{"use strict";v6();$c();Xh();f5();htr=1800*1e3});function Qb(e){return{content:[{type:"text",text:JSON.stringify(e)}],isError:!0}}function mtr(e,t){switch(e){case"force_stage_complete":return`Sign every review + approval + intent_quality_gates for every unit in stages up to and including '${t.stage}'. Refuses units that haven't reached terminal hat advance.`;case"set_intent_field":return t.fields&&typeof t.fields=="object"?`Set ${Object.keys(t.fields).length} intent.md frontmatter fields in one call: ${JSON.stringify(t.fields)}.`:`Set intent.md frontmatter field '${t.field}' to ${JSON.stringify(t.value)}.`;case"reset_drift":return"Re-stamp every witnessed slot (reviews + approvals on every unit) with the CURRENT on-disk SHA. Drift sweep will stop firing on the same SHA mismatch.";case"set_unit_iterations":return Array.isArray(t.iterations)&&t.iterations.length>0?`Hand-write iterations[] on unit '${t.unit}' in stage '${t.stage}' (${t.iterations.length} entries). This is the FSM-driven field agents normally cannot touch \u2014 the debug op bypasses the schema gate.`:`Synthesize iterations[] on unit '${t.unit}' in stage '${t.stage}' \u2014 one 'advance' entry per hat in the stage's hats sequence. Use to mark a legacy/partial unit as "moved through every hat" so force_stage_complete will sign it.`;case"mutate_feedback":return Array.isArray(t.feedback_ids)&&t.feedback_ids.length>0?`Apply FM patch to ${t.feedback_ids.length} feedback records (${t.feedback_ids.join(", ")}): ${JSON.stringify(t.patch)}. Bypasses lifecycle guards.`:`Apply FM patch to feedback ${t.feedback_id}: ${JSON.stringify(t.patch)}. Bypasses lifecycle guards.`;default:return e}}var k0t,I0t=v(()=>{"use strict";gbe();Xb();ji();uo();zi();vs();k0t={name:"haiku_debug",description:"ADMIN: bypass-the-FSM tools to unstick corrupt intents. Force a stage complete (signs all reviews/approvals/QGs for units that have moved through every hat), set an intent field (mode, etc.), reset drift (re-stamp witnesses), mutate any feedback frontmatter, or preview the next cursor head after edits. Every mutation requires SPA-picker confirmation \u2014 the agent cannot act unilaterally. Use only when the normal workflow can't recover (corrupt FM, stuck loop, lost stamps).",inputSchema:d0,async handle(e,t){let n=Be(e,Zme,"haiku_debug");if(n)return n;let r=Wg({intent:e.intent,stage:e.stage,feedback_id:e.feedback_id,unit:e.unit});if(r)return r;if(Array.isArray(e.feedback_ids))for(let l of e.feedback_ids){let d=Wg({feedback_id:l});if(d)return d}let i=e.intent,s=e.op;if(!UL.includes(s))return Qb({error:"unsupported_op",message:`Unknown op '${s}'. Supported: ${UL.join(", ")}.`});if(s==="preview_cursor")try{let l=XZ({slug:i});return ye(JSON.stringify(l))}catch(l){return Qb({error:"preview_cursor_threw",detail:l instanceof Error?l.message:String(l)})}let o=mtr(s,e),a=typeof e.reason=="string"&&e.reason.trim().length>0?e.reason.trim():null,c=a?`Why: ${a}
 
-`:"",u=await Wu({intentSlug:i,kind:"confirm",title:`DEBUG: ${s} on ${i}`,prompt:`${c}${o}
+`:"",u=await Ju({intentSlug:i,kind:"confirm",title:`DEBUG: ${s} on ${i}`,prompt:`${c}${o}
 
-This is an ADMIN op that BYPASSES the normal workflow engine. It mutates state in ways the cursor would not. Confirm only if you understand the consequences.`,options:[{id:"confirm",label:`Yes, run ${s}`,description:"Proceed with the admin op. State will be mutated immediately."},{id:"cancel",label:"Cancel",description:"Abort. No state changes."}],signal:t});if(u.timedOut||!u.selection||u.selection.id!=="confirm")return ye(JSON.stringify({action:"cancelled",message:`Debug op '${s}' cancelled \u2014 no state mutated.`}));try{switch(s){case"force_stage_complete":{let l=e.stage;if(!l)return YE({error:"missing_stage",message:"force_stage_complete requires `stage`"});let d=OY({slug:i,targetStage:l,closeOpenFeedback:e.close_open_feedback===!0});return ye(JSON.stringify(d))}case"set_intent_field":{if(e.fields&&typeof e.fields=="object"){let p=e.fields,h=[];for(let[m,y]of Object.entries(p))h.push({field:m,result:ex({slug:i,field:m,value:y})});return ye(JSON.stringify({batch:!0,count:h.length,results:h}))}let l=e.field,d=e.value;if(!l)return YE({error:"missing_field",message:"set_intent_field requires `field` or `fields`"});let f=ex({slug:i,field:l,value:d});return ye(JSON.stringify(f))}case"reset_drift":{let l=NY({slug:i});return ye(JSON.stringify(l))}case"set_unit_iterations":{let l=e.stage,d=e.unit;if(!l||!d)return YE({error:"missing_stage_or_unit",message:"set_unit_iterations requires `stage` and `unit`"});let f=Array.isArray(e.iterations)?e.iterations:void 0,p=PY({slug:i,stage:l,unit:d,iterations:f});return ye(JSON.stringify(p))}case"mutate_feedback":{let l=e.patch??{},d=e.stage||null;if(Array.isArray(e.feedback_ids)&&e.feedback_ids.length>0){let h=e.feedback_ids,m=[];for(let y of h)m.push({feedback_id:y,result:tx({slug:i,stage:d,feedbackId:y,patch:l})});return ye(JSON.stringify({batch:!0,count:m.length,results:m}))}let f=e.feedback_id;if(!f)return YE({error:"missing_feedback_id",message:"mutate_feedback requires `feedback_id` or `feedback_ids`"});let p=tx({slug:i,stage:d,feedbackId:f,patch:l});return ye(JSON.stringify(p))}default:return YE({error:"unhandled_op",op:s})}}catch(l){return YE({error:"debug_op_threw",op:s,detail:l instanceof Error?l.message:String(l)})}}}});import{existsSync as S_e,readFileSync as Cer}from"node:fs";import{join as Q5}from"node:path";function Mer(e,t,n){if(!n)return null;let r=n.replace(/\{intent-slug\}/g,t);return r.startsWith(".haiku/")?Q5(e,r):r.startsWith("/")?r:Q5(e,".haiku","intents",t,r)}var p0t,h0t=v(()=>{"use strict";vr();j0();ji();uo();ze();Kn();To();Gi();vs();p0t={name:"haiku_discovery_complete",description:"Discovery subagent's completion hand-off. Merges the discovery worktree's branch back into its stage branch under a per-stage lock. Call AFTER committing your artifact inside the isolation worktree. Returns `{ ok: true }` on clean merge, `discovery_artifact_missing` with `expected_path` when the template's `location:` file isn't present in the worktree (you skipped or misplaced the write), `discovery_merge_conflict` with conflict_files on real conflict, `discovery_merge_failed` with the git error on other failures, `intent_not_found` when the intent dir is missing, `worktree_not_found` when the discovery worktree doesn't exist (already merged or never created).",inputSchema:l0,async handle(e){let t=Be(e,Hme,"haiku_discovery_complete");if(t)return t;let n=e,{intent:r,stage:i,template:s}=n,o=ve(),a=Q5(o,"intents",r);if(!S_e(a))return ye(JSON.stringify({ok:!1,error:"intent_not_found",message:`Intent '${r}' not found at ${a}.`}));let c=wI(r,i,s);if(!S_e(c))return ye(JSON.stringify({ok:!1,error:"worktree_not_found",message:`No discovery worktree at ${c}. The worktree may have been merged or never created \u2014 re-tick haiku_run_next; if the cursor still requests this discovery, redispatch the subagent.`}));try{let u=re(Cer(Q5(a,"intent.md"),"utf8")).data,l=typeof u.studio=="string"?u.studio:"";if(l){let d=s.toLowerCase(),f=no(l,i).filter(p=>p.kind==="discovery").find(p=>p.name.toLowerCase()===d);if(f){let p=Mer(c,r,f.location);if(p&&!S_e(p)){let h=p.startsWith(c)?p.slice(c.length+1):p;return ye(JSON.stringify({ok:!1,error:"discovery_artifact_missing",intent:r,stage:i,template:s,expected_path:p,location:f.location,message:[`Discovery template '${s}' declares location '${f.location}', but no file exists at the expected path inside your isolation worktree.`,"",`Expected (absolute):  ${p}`,`Expected (worktree-relative):  ${h}`,"","Before calling haiku_discovery_complete you MUST:","  1. Write the populated discovery artifact to the path above.",`  2. \`git -C "${c}" add -A && git -C "${c}" commit -m "..."\``,`  3. Re-call \`haiku_discovery_complete { intent: "${r}", stage: "${i}", template: "${s}" }\`.`,"","If you wrote the file somewhere else (intent main, the stage branch directly, or another path), move it into the worktree at the expected path and commit there \u2014 haiku_discovery_complete only merges from the isolation worktree."].join(`
-`)}))}}}}catch{}try{let u=LE(r,i,()=>mpe(r,i,s));return u.success?(Ke("haiku.discovery.merged",{intent:r,stage:i,template:s}),ye(JSON.stringify({ok:!0,intent:r,stage:i,template:s,message:u.message}))):u.isConflict?ye(JSON.stringify({ok:!1,error:"discovery_merge_conflict",intent:r,stage:i,template:s,conflict_files:u.conflictFiles??[],message:u.message})):ye(JSON.stringify({ok:!1,error:"discovery_merge_failed",intent:r,stage:i,template:s,message:u.message}))}catch(u){return ye(JSON.stringify({ok:!1,error:"discovery_merge_threw",intent:r,stage:i,template:s,message:u instanceof Error?u.message:String(u)}))}}}});import{execSync as m0t}from"node:child_process";import{existsSync as Bv,readdirSync as E_e,readFileSync as Wg,statSync as Der,writeFileSync as Tx}from"node:fs";import{join as dp,resolve as Ler}from"node:path";function Fer(e,t,n){try{let r=(0,_c.default)(Wg(e,"utf8")),i=r.data,s=i.quality_gates_env_blocked??void 0,o=(typeof s?.attempts=="number"?s.attempts:0)+1;return i.quality_gates_env_blocked={at:new Date().toISOString(),reason:t,requires_tool:n??null,attempts:o},Tx(e,_c.default.stringify(r.content,i)),o}catch{return 1}}function y0t(){let e=[];try{e=zL(Br())}catch{e=[]}let t=e.map(r=>({name:r.name,command:r.command.join(" "),requires_tool:r.requires_tool,tool_live:r.requires_tool?RD(r.requires_tool):!0})),n=t.some(r=>r.tool_live);return{services:t,bootable:n}}function $5(e,t,n){let r=Array.isArray(n)?n:[n],i=t?dp(pe(e),"stages",t,"feedback"):dp(pe(e),"feedback");if(!Bv(i))return[];let s=[];for(let o of E_e(i).filter(a=>a.endsWith(".md")))try{let a=dp(i,o),c=(0,_c.default)(Wg(a,"utf8")).data;c.author==="engine"&&r.includes(c.source_ref)&&s.push({path:a,data:c})}catch{}return s}function S0t(e){if(e.closed_at||e.rejected_at)return!1;let t=e.status;return t!=="closed"&&t!=="rejected"}function E0t(e,t){try{let n=(0,_c.default)(Wg(e,"utf8")),r=n.data,i=new Date().toISOString();r.status="closed",r.closed_at=i,r.closed_by="engine:gate-deferred-to-ci",r.resolution="deferred",r.closure_reply={text:t,at:i},Tx(e,_c.default.stringify(n.content,r))}catch{}}function jer(e,t){try{let n=(0,_c.default)(Wg(e,"utf8")),r=n.data,i=new Date().toISOString(),s=r.approvals??{};s.quality_gates={at:i,deferred_to_ci:!0,deferred_count:t.length},r.approvals=s;let o=Array.isArray(r.deferred_gates)?r.deferred_gates:[];r.deferred_gates=[...o,...t.map(a=>({name:a.name,command:a.command,exit_code:a.exit_code,output:a.output.slice(0,300),deferred_at:i}))],Tx(e,_c.default.stringify(n.content,r))}catch{}}function Her(e,t,n){let r=[],i=[],s=[],o=[];for(let c of n){let u=dp(pe(e),"stages",t,"units",`${c}.md`);if(!Bv(u)){i.push({unit:c,failures:[{name:"unit_not_found",command:"",exit_code:1,output:`Unit file not found at ${u}`}]});continue}let l=Kye(e,u);if(l===null)zer(u,"quality_gates"),r.push(c);else if(l.environment){let d=Fer(u,l.env_reason??"a runtime dependency was unreachable",l.requires_tool);o.push({unit:c,reason:l.env_reason??"a runtime dependency was unreachable",requires_tool:l.requires_tool,attempts:d,failures:l.failures})}else{let d=`unit:${c}`,f=[],p=[];for(let h of l.failures){let m=`${d}:${h.name}`;$5(e,t,[m,d]).length>=b_e?f.push(h):p.push(h)}if(f.length>0){let h=f.map(g=>g.name),m=`quality_gates on \`${c}\` (${h.join(", ")}) stayed red across ${b_e}+ local fix-loop attempt(s). Deferred to CI \u2014 CI runs them in a clean tree and is authoritative. A real defect surfaces as red CI on the PR; an environment-only failure (no local API, dep/codegen mismatch in the worktree) passes there.`;jer(u,f);let y=[d,...h.map(g=>`${d}:${g}`)];for(let g of $5(e,t,y))S0t(g.data)&&E0t(g.path,m);s.push({unit:c,gates:h,reason:m})}if(p.length>0){i.push({unit:c,failures:p});for(let h of p){let m=`${d}:${h.name}`;Xo(e,t,{title:`quality_gates failure on ${c} (${h.name})`,body:`Declared quality_gate \`${h.name}\` failed on unit \`${c}\`:
+This is an ADMIN op that BYPASSES the normal workflow engine. It mutates state in ways the cursor would not. Confirm only if you understand the consequences.`,options:[{id:"confirm",label:`Yes, run ${s}`,description:"Proceed with the admin op. State will be mutated immediately."},{id:"cancel",label:"Cancel",description:"Abort. No state changes."}],signal:t});if(u.timedOut||!u.selection||u.selection.id!=="confirm")return ye(JSON.stringify({action:"cancelled",message:`Debug op '${s}' cancelled \u2014 no state mutated.`}));try{switch(s){case"force_stage_complete":{let l=e.stage;if(!l)return Qb({error:"missing_stage",message:"force_stage_complete requires `stage`"});let d=YZ({slug:i,targetStage:l,closeOpenFeedback:e.close_open_feedback===!0});return ye(JSON.stringify(d))}case"set_intent_field":{if(e.fields&&typeof e.fields=="object"){let p=e.fields,h=[];for(let[m,g]of Object.entries(p))h.push({field:m,result:ox({slug:i,field:m,value:g})});return ye(JSON.stringify({batch:!0,count:h.length,results:h}))}let l=e.field,d=e.value;if(!l)return Qb({error:"missing_field",message:"set_intent_field requires `field` or `fields`"});let f=ox({slug:i,field:l,value:d});return ye(JSON.stringify(f))}case"reset_drift":{let l=ZZ({slug:i});return ye(JSON.stringify(l))}case"set_unit_iterations":{let l=e.stage,d=e.unit;if(!l||!d)return Qb({error:"missing_stage_or_unit",message:"set_unit_iterations requires `stage` and `unit`"});let f=Array.isArray(e.iterations)?e.iterations:void 0,p=JZ({slug:i,stage:l,unit:d,iterations:f});return ye(JSON.stringify(p))}case"mutate_feedback":{let l=e.patch??{},d=e.stage||null;if(Array.isArray(e.feedback_ids)&&e.feedback_ids.length>0){let h=e.feedback_ids,m=[];for(let g of h)m.push({feedback_id:g,result:ax({slug:i,stage:d,feedbackId:g,patch:l})});return ye(JSON.stringify({batch:!0,count:m.length,results:m}))}let f=e.feedback_id;if(!f)return Qb({error:"missing_feedback_id",message:"mutate_feedback requires `feedback_id` or `feedback_ids`"});let p=ax({slug:i,stage:d,feedbackId:f,patch:l});return ye(JSON.stringify(p))}default:return Qb({error:"unhandled_op",op:s})}}catch(l){return Qb({error:"debug_op_threw",op:s,detail:l instanceof Error?l.message:String(l)})}}}});import{existsSync as x_e,readFileSync as gtr}from"node:fs";import{join as p5}from"node:path";function ytr(e,t,n){if(!n)return null;let r=n.replace(/\{intent-slug\}/g,t);return r.startsWith(".haiku/")?p5(e,r):r.startsWith("/")?r:p5(e,".haiku","intents",t,r)}var x0t,O0t=v(()=>{"use strict";yr();B0();ji();uo();Ge();Kn();vo();zi();vs();x0t={name:"haiku_discovery_complete",description:"Discovery subagent's completion hand-off. Merges the discovery worktree's branch back into its stage branch under a per-stage lock. Call AFTER committing your artifact inside the isolation worktree. Returns `{ ok: true }` on clean merge, `discovery_artifact_missing` with `expected_path` when the template's `location:` file isn't present in the worktree (you skipped or misplaced the write), `discovery_merge_conflict` with conflict_files on real conflict, `discovery_merge_failed` with the git error on other failures, `intent_not_found` when the intent dir is missing, `worktree_not_found` when the discovery worktree doesn't exist (already merged or never created).",inputSchema:f0,async handle(e){let t=Be(e,Jme,"haiku_discovery_complete");if(t)return t;let n=e,{intent:r,stage:i,template:s}=n,o=Te(),a=p5(o,"intents",r);if(!x_e(a))return ye(JSON.stringify({ok:!1,error:"intent_not_found",message:`Intent '${r}' not found at ${a}.`}));let c=II(r,i,s);if(!x_e(c))return ye(JSON.stringify({ok:!1,error:"worktree_not_found",message:`No discovery worktree at ${c}. The worktree may have been merged or never created \u2014 re-tick haiku_run_next; if the cursor still requests this discovery, redispatch the subagent.`}));try{let u=re(gtr(p5(a,"intent.md"),"utf8")).data,l=typeof u.studio=="string"?u.studio:"";if(l){let d=s.toLowerCase(),f=no(l,i).filter(p=>p.kind==="discovery").find(p=>p.name.toLowerCase()===d);if(f){let p=ytr(c,r,f.location);if(p&&!x_e(p)){let h=p.startsWith(c)?p.slice(c.length+1):p;return ye(JSON.stringify({ok:!1,error:"discovery_artifact_missing",intent:r,stage:i,template:s,expected_path:p,location:f.location,message:[`Discovery template '${s}' declares location '${f.location}', but no file exists at the expected path inside your isolation worktree.`,"",`Expected (absolute):  ${p}`,`Expected (worktree-relative):  ${h}`,"","Before calling haiku_discovery_complete you MUST:","  1. Write the populated discovery artifact to the path above.",`  2. \`git -C "${c}" add -A && git -C "${c}" commit -m "..."\``,`  3. Re-call \`haiku_discovery_complete { intent: "${r}", stage: "${i}", template: "${s}" }\`.`,"","If you wrote the file somewhere else (intent main, the stage branch directly, or another path), move it into the worktree at the expected path and commit there \u2014 haiku_discovery_complete only merges from the isolation worktree."].join(`
+`)}))}}}}catch{}try{let u=jb(r,i,()=>kpe(r,i,s));return u.success?(Ke("haiku.discovery.merged",{intent:r,stage:i,template:s}),ye(JSON.stringify({ok:!0,intent:r,stage:i,template:s,message:u.message}))):u.isConflict?ye(JSON.stringify({ok:!1,error:"discovery_merge_conflict",intent:r,stage:i,template:s,conflict_files:u.conflictFiles??[],message:u.message})):ye(JSON.stringify({ok:!1,error:"discovery_merge_failed",intent:r,stage:i,template:s,message:u.message}))}catch(u){return ye(JSON.stringify({ok:!1,error:"discovery_merge_threw",intent:r,stage:i,template:s,message:u instanceof Error?u.message:String(u)}))}}}});import{execSync as P0t}from"node:child_process";import{existsSync as Gv,readdirSync as O_e,readFileSync as Kg,statSync as Str,writeFileSync as Ix}from"node:fs";import{join as fp,resolve as btr}from"node:path";function _tr(e,t,n){try{let r=(0,Tc.default)(Kg(e,"utf8")),i=r.data,s=i.quality_gates_env_blocked??void 0,o=(typeof s?.attempts=="number"?s.attempts:0)+1;return i.quality_gates_env_blocked={at:new Date().toISOString(),reason:t,requires_tool:n??null,attempts:o},Ix(e,Tc.default.stringify(r.content,i)),o}catch{return 1}}function C0t(){let e=[];try{e=n1(Br())}catch{e=[]}let t=e.map(r=>({name:r.name,command:r.command.join(" "),requires_tool:r.requires_tool,tool_live:r.requires_tool?ND(r.requires_tool):!0})),n=t.some(r=>r.tool_live);return{services:t,bootable:n}}function h5(e,t,n){let r=Array.isArray(n)?n:[n],i=t?fp(pe(e),"stages",t,"feedback"):fp(pe(e),"feedback");if(!Gv(i))return[];let s=[];for(let o of O_e(i).filter(a=>a.endsWith(".md")))try{let a=fp(i,o),c=(0,Tc.default)(Kg(a,"utf8")).data;c.author==="engine"&&r.includes(c.source_ref)&&s.push({path:a,data:c})}catch{}return s}function M0t(e){if(e.closed_at||e.rejected_at)return!1;let t=e.status;return t!=="closed"&&t!=="rejected"}function D0t(e,t){try{let n=(0,Tc.default)(Kg(e,"utf8")),r=n.data,i=new Date().toISOString();r.status="closed",r.closed_at=i,r.closed_by="engine:gate-deferred-to-ci",r.resolution="deferred",r.closure_reply={text:t,at:i},Ix(e,Tc.default.stringify(n.content,r))}catch{}}function Ttr(e,t){try{let n=(0,Tc.default)(Kg(e,"utf8")),r=n.data,i=new Date().toISOString(),s=r.approvals??{};s.quality_gates={at:i,deferred_to_ci:!0,deferred_count:t.length},r.approvals=s;let o=Array.isArray(r.deferred_gates)?r.deferred_gates:[];r.deferred_gates=[...o,...t.map(a=>({name:a.name,command:a.command,exit_code:a.exit_code,output:a.output.slice(0,300),deferred_at:i}))],Ix(e,Tc.default.stringify(n.content,r))}catch{}}function vtr(e,t,n){let r=[],i=[],s=[],o=[];for(let c of n){let u=fp(pe(e),"stages",t,"units",`${c}.md`);if(!Gv(u)){i.push({unit:c,failures:[{name:"unit_not_found",command:"",exit_code:1,output:`Unit file not found at ${u}`}]});continue}let l=iSe(e,u);if(l===null)ktr(u,"quality_gates"),r.push(c);else if(l.environment){let d=_tr(u,l.env_reason??"a runtime dependency was unreachable",l.requires_tool);o.push({unit:c,reason:l.env_reason??"a runtime dependency was unreachable",requires_tool:l.requires_tool,attempts:d,failures:l.failures})}else{let d=`unit:${c}`,f=[],p=[];for(let h of l.failures){let m=`${d}:${h.name}`;h5(e,t,[m,d]).length>=P_e?f.push(h):p.push(h)}if(f.length>0){let h=f.map(y=>y.name),m=`quality_gates on \`${c}\` (${h.join(", ")}) stayed red across ${P_e}+ local fix-loop attempt(s). Deferred to CI \u2014 CI runs them in a clean tree and is authoritative. A real defect surfaces as red CI on the PR; an environment-only failure (no local API, dep/codegen mismatch in the worktree) passes there.`;Ttr(u,f);let g=[d,...h.map(y=>`${d}:${y}`)];for(let y of h5(e,t,g))M0t(y.data)&&D0t(y.path,m);s.push({unit:c,gates:h,reason:m})}if(p.length>0){i.push({unit:c,failures:p});for(let h of p){let m=`${d}:${h.name}`;Qo(e,t,{title:`quality_gates failure on ${c} (${h.name})`,body:`Declared quality_gate \`${h.name}\` failed on unit \`${c}\`:
 
 - ${h.name}: \`${h.command}\` exited ${h.exit_code}
 
-The fix loop should resolve the failure, then quality_gates re-runs on the next tick. If this gate keeps failing across attempts, the engine defers it to CI (environmental / non-source-convergent).`,origin:"agent",severity:"blocker",author:"engine",source_ref:m,targetUnit:c,targetInvalidates:["quality_gates"]})}}}}if(o.length>0){let c=y0t(),u=o.every(h=>h.attempts>Uer),l=c.bootable&&!u?"best_effort_boot":"escalate_to_user",d=c.services.length>0?c.services.map(h=>`  - ${h.name}: \`${h.command}\`${h.requires_tool?` (needs ${h.requires_tool}: ${h.tool_live?"LIVE":"NOT AVAILABLE"})`:""}`).join(`
-`):"  (no services declared in .haiku/boot.md)",f=Rfe(),p=l==="best_effort_boot"?`Quality gates can't reach a live environment on: ${o.map(h=>h.unit).join(", ")}.
+The fix loop should resolve the failure, then quality_gates re-runs on the next tick. If this gate keeps failing across attempts, the engine defers it to CI (environmental / non-source-convergent).`,origin:"agent",severity:"blocker",author:"engine",source_ref:m,targetUnit:c,targetInvalidates:["quality_gates"]})}}}}if(o.length>0){let c=C0t(),u=o.every(h=>h.attempts>Etr),l=c.bootable&&!u?"best_effort_boot":"escalate_to_user",d=c.services.length>0?c.services.map(h=>`  - ${h.name}: \`${h.command}\`${h.requires_tool?` (needs ${h.requires_tool}: ${h.tool_live?"LIVE":"NOT AVAILABLE"})`:""}`).join(`
+`):"  (no services declared in .haiku/boot.md)",f=Ffe(),p=l==="best_effort_boot"?`Quality gates can't reach a live environment on: ${o.map(h=>h.unit).join(", ")}.
 ${o.map(h=>`  \u2022 ${h.unit}: ${h.reason}`).join(`
 `)}
 
@@ -1288,98 +1286,98 @@ ${o.map(h=>`  \u2022 ${h.unit}: ${h.reason}`).join(`
 ESCALATE TO THE USER. Tell them exactly what's unavailable and what to do \u2014 e.g. "start the database, then tell me to retry." Recommend a \`.haiku/boot.md\` service recipe if none exists:
 ${d}
 
-Then WAIT for the user. Do NOT advance, do NOT call \`haiku_run_next\` in a loop, do NOT mark the gate passed. The stage holds until the dependency is live and the gate actually runs.`;return ye(JSON.stringify({action:"quality_gate_environment_blocked",scope:"stage",mode:l,env_blocked:o.map(h=>({unit:h.unit,reason:h.reason,requires_tool:h.requires_tool??null,attempts:h.attempts})),services:c.services,available_tools:f,passed:r,message:p},null,2))}let a=s.length>0?` ${s.length} unit(s) had non-convergent gates DEFERRED to CI: ${s.map(c=>`${c.unit} (${c.gates.join(", ")})`).join("; ")}.`:"";return ye(JSON.stringify({scope:"stage",passed:r,failures:i,deferred:s,message:i.length===0&&s.length===0?`All ${r.length} unit(s) passed quality_gates. Approvals stamped.`:`${i.length} unit(s) had quality_gate failures \u2014 FBs filed. ${r.length} passed.${a}`},null,2))}function qer(e){let t=pe(e),n=dp(t,"stages"),r=Ber(t),i=Ger(n,r);if(i.length===0)return g0t(e,"intent_quality_gates"),ye(JSON.stringify({scope:"intent",ran:0,failures:[],message:"No quality_gates declared on any unit across this intent. Approvals stamped (vacuously true)."},null,2));let s=process.cwd();try{s=m0t("git rev-parse --show-toplevel",{encoding:"utf8"}).trim()}catch{}let o=[];for(let u of i){let l=u.dir?Ler(s,u.dir):s;try{m0t(u.command,{stdio:"pipe",cwd:l,shell:"/bin/bash",timeout:3e5})}catch(d){let f=d;o.push({name:u.name,command:u.command,exit_code:typeof f.status=="number"?f.status:1,output:[f.stdout?f.stdout.toString().trim():"",f.stderr?f.stderr.toString().trim():""].filter(Boolean).join(`
-`),contributors:u.contributors})}}if(o.length===0)return g0t(e,"intent_quality_gates"),ye(JSON.stringify({scope:"intent",ran:i.length,failures:[],message:`All ${i.length} distinct quality_gates command(s) passed at intent scope. approvals.intent_quality_gates stamped on intent.md.`},null,2));{let u=[];try{u=[...new Set(zL(Br()).map(d=>d.requires_tool).filter(d=>typeof d=="string"&&d.length>0))]}catch{u=[]}let l=P3(o,{requiredTools:u});if(l.environment){let d=y0t(),f=d.services.length>0?d.services.map(h=>`  - ${h.name}: \`${h.command}\`${h.requires_tool?` (needs ${h.requires_tool}: ${h.tool_live?"LIVE":"NOT AVAILABLE"})`:""}`).join(`
-`):"  (no services declared in .haiku/boot.md)",p=Rfe();return ye(JSON.stringify({action:"quality_gate_environment_blocked",scope:"intent",mode:d.bootable?"best_effort_boot":"escalate_to_user",reason:l.reason,requires_tool:l.requiresTool??null,services:d.services,available_tools:p,message:`Intent-scope quality gates can't reach a live environment: ${l.reason}.
+Then WAIT for the user. Do NOT advance, do NOT call \`haiku_run_next\` in a loop, do NOT mark the gate passed. The stage holds until the dependency is live and the gate actually runs.`;return ye(JSON.stringify({action:"quality_gate_environment_blocked",scope:"stage",mode:l,env_blocked:o.map(h=>({unit:h.unit,reason:h.reason,requires_tool:h.requires_tool??null,attempts:h.attempts})),services:c.services,available_tools:f,passed:r,message:p},null,2))}let a=s.length>0?` ${s.length} unit(s) had non-convergent gates DEFERRED to CI: ${s.map(c=>`${c.unit} (${c.gates.join(", ")})`).join("; ")}.`:"";return ye(JSON.stringify({scope:"stage",passed:r,failures:i,deferred:s,message:i.length===0&&s.length===0?`All ${r.length} unit(s) passed quality_gates. Approvals stamped.`:`${i.length} unit(s) had quality_gate failures \u2014 FBs filed. ${r.length} passed.${a}`},null,2))}function Rtr(e){let t=pe(e),n=fp(t,"stages"),r=Atr(t),i=wtr(n,r);if(i.length===0)return N0t(e,"intent_quality_gates"),ye(JSON.stringify({scope:"intent",ran:0,failures:[],message:"No quality_gates declared on any unit across this intent. Approvals stamped (vacuously true)."},null,2));let s=process.cwd();try{s=P0t("git rev-parse --show-toplevel",{encoding:"utf8"}).trim()}catch{}let o=[];for(let u of i){let l=u.dir?btr(s,u.dir):s;try{P0t(u.command,{stdio:"pipe",cwd:l,shell:"/bin/bash",timeout:3e5})}catch(d){let f=d;o.push({name:u.name,command:u.command,exit_code:typeof f.status=="number"?f.status:1,output:[f.stdout?f.stdout.toString().trim():"",f.stderr?f.stderr.toString().trim():""].filter(Boolean).join(`
+`),contributors:u.contributors})}}if(o.length===0)return N0t(e,"intent_quality_gates"),ye(JSON.stringify({scope:"intent",ran:i.length,failures:[],message:`All ${i.length} distinct quality_gates command(s) passed at intent scope. approvals.intent_quality_gates stamped on intent.md.`},null,2));{let u=[];try{u=[...new Set(n1(Br()).map(d=>d.requires_tool).filter(d=>typeof d=="string"&&d.length>0))]}catch{u=[]}let l=VK(o,{requiredTools:u});if(l.environment){let d=C0t(),f=d.services.length>0?d.services.map(h=>`  - ${h.name}: \`${h.command}\`${h.requires_tool?` (needs ${h.requires_tool}: ${h.tool_live?"LIVE":"NOT AVAILABLE"})`:""}`).join(`
+`):"  (no services declared in .haiku/boot.md)",p=Ffe();return ye(JSON.stringify({action:"quality_gate_environment_blocked",scope:"intent",mode:d.bootable?"best_effort_boot":"escalate_to_user",reason:l.reason,requires_tool:l.requiresTool??null,services:d.services,available_tools:p,message:`Intent-scope quality gates can't reach a live environment: ${l.reason}.
 
 `+(d.bootable?'BEST-EFFORT BOOT: bring the declared service(s) up, then re-run `haiku_dispatch_quality_gates { intent, scope: "intent" }`. ':"The engine can't bring it up here. ESCALATE TO THE USER: tell them what's unavailable and to start it, then retry. ")+`Do NOT seal the intent \u2014 a gate that didn't run verified nothing.
 
 Declared services:
 ${f}
 
-Available tools: ${p.length>0?p.join(", "):"(none live)"}.`},null,2))}}let a=$5(e,"","intent_quality_gates").length;if(a>=b_e){let u=o.map(d=>d.name),l=`intent_quality_gates (${u.join(", ")}) stayed red across ${a} fix-loop attempt(s). Deferred to CI \u2014 it runs them in a clean tree and is authoritative.`;Ver(e,o);for(let d of $5(e,"","intent_quality_gates"))S0t(d.data)&&E0t(d.path,l);return ye(JSON.stringify({scope:"intent",ran:i.length,failures:o,deferred:{gates:u,reason:l},message:`${o.length} of ${i.length} intent-scope quality_gates stayed red across ${a} fix-loop attempt(s) \u2014 DEFERRED to CI. approvals.intent_quality_gates stamped deferred; intent can seal.`},null,2))}let c=o.map(u=>`- **${u.name}**: \`${u.command}\` exited ${u.exit_code} (declared by: ${u.contributors.join(", ")})
+Available tools: ${p.length>0?p.join(", "):"(none live)"}.`},null,2))}}let a=h5(e,"","intent_quality_gates").length;if(a>=P_e){let u=o.map(d=>d.name),l=`intent_quality_gates (${u.join(", ")}) stayed red across ${a} fix-loop attempt(s). Deferred to CI \u2014 it runs them in a clean tree and is authoritative.`;Itr(e,o);for(let d of h5(e,"","intent_quality_gates"))M0t(d.data)&&D0t(d.path,l);return ye(JSON.stringify({scope:"intent",ran:i.length,failures:o,deferred:{gates:u,reason:l},message:`${o.length} of ${i.length} intent-scope quality_gates stayed red across ${a} fix-loop attempt(s) \u2014 DEFERRED to CI. approvals.intent_quality_gates stamped deferred; intent can seal.`},null,2))}let c=o.map(u=>`- **${u.name}**: \`${u.command}\` exited ${u.exit_code} (declared by: ${u.contributors.join(", ")})
   ${u.output.slice(0,400).split(`
 `).join(`
   `)}`).join(`
 
-`);return Xo(e,"",{title:`intent_quality_gates: ${o.length} failing command(s)`,body:`${o.length} of ${i.length} distinct quality_gates command(s) failed at intent scope. The studio fix-hat loop should resolve each failure; on close, the cursor's intent walk will re-dispatch dispatch_quality_gates because approvals.intent_quality_gates is still unset. If the gates keep failing across attempts, the engine defers them to CI (environmental / non-source-convergent).
+`);return Qo(e,"",{title:`intent_quality_gates: ${o.length} failing command(s)`,body:`${o.length} of ${i.length} distinct quality_gates command(s) failed at intent scope. The studio fix-hat loop should resolve each failure; on close, the cursor's intent walk will re-dispatch dispatch_quality_gates because approvals.intent_quality_gates is still unset. If the gates keep failing across attempts, the engine defers them to CI (environmental / non-source-convergent).
 
-${c}`,origin:"agent",severity:"blocker",author:"engine",source_ref:"intent_quality_gates"}),ye(JSON.stringify({scope:"intent",ran:i.length,failures:o,message:`${o.length} of ${i.length} distinct quality_gates command(s) failed at intent scope \u2014 intent-scope FB filed.`},null,2))}function Ber(e){let t=dp(e,"intent.md");if(!Bv(t))return new Set;try{let r=(0,_c.default)(Wg(t,"utf8")).data.skip_gates;return Array.isArray(r)?new Set(r.filter(i=>typeof i=="string")):new Set}catch{return new Set}}function Ger(e,t=new Set){if(!Bv(e))return[];let n=new Map,r=E_e(e).filter(i=>{try{return Der(dp(e,i)).isDirectory()}catch{return!1}});for(let i of r){let s=dp(e,i,"units");if(!Bv(s))continue;let o=E_e(s).filter(a=>a.startsWith("unit-")&&a.endsWith(".md"));for(let a of o){let c=dp(s,a),u;try{u=Wg(c,"utf8")}catch{continue}let l;try{l=(0,_c.default)(u).data}catch{continue}let d=l.quality_gates;if(Array.isArray(d))for(let f of d){if(!f||typeof f!="object")continue;let p=f;if(p.superseded===!0)continue;let h=typeof p.name=="string"?p.name:"",m=typeof p.command=="string"?p.command:"";if(!m)continue;let y=typeof p.dir=="string"&&p.dir.length>0?p.dir:void 0,g=`${y??""}::${m}`;if(h&&t.has(h)||t.has(g))continue;let E=n.get(g),S=`${i}/${a.replace(/\.md$/,"")}`;E?E.contributors.includes(S)||E.contributors.push(S):n.set(g,{name:h||`gate-${n.size+1}`,command:m,dir:y,contributors:[S]})}}}return[...n.values()]}function zer(e,t){let n=Wg(e,"utf8"),r=(0,_c.default)(n),i=r.data,s=i.approvals??{},o=Array.isArray(i.outputs)?i.outputs:[],a=e.split("/stages/")[0];s[t]=jd(a,o),i.approvals=s;let c=_c.default.stringify(r.content,i);Tx(e,c)}function Ver(e,t){let n=dp(pe(e),"intent.md");if(Bv(n))try{let r=(0,_c.default)(Wg(n,"utf8")),i=r.data,s=new Date().toISOString(),o=i.approvals??{};o.intent_quality_gates={at:s,deferred_to_ci:!0,deferred_count:t.length},i.approvals=o;let a=Array.isArray(i.deferred_gates)?i.deferred_gates:[];i.deferred_gates=[...a,...t.map(c=>({name:c.name,command:c.command,exit_code:c.exit_code,output:c.output.slice(0,300),deferred_at:s}))],Tx(n,_c.default.stringify(r.content,i))}catch{}}function g0t(e,t){let n=dp(pe(e),"intent.md");if(!Bv(n))return;let r=Wg(n,"utf8"),i=(0,_c.default)(r),s=i.data,o=s.approvals??{};o[t]={at:new Date().toISOString()},s.approvals=o,Tx(n,_c.default.stringify(i.content,s))}var _c,Uer,b_e,b0t,_0t=v(()=>{"use strict";_c=Se(Xt(),1);wfe();kfe();Yf();ze();VL();Gi();vs();Uer=1;b_e=2;b0t={name:"haiku_dispatch_quality_gates",description:"Run the declared `quality_gates` at stage scope (per-unit, with fix-loop on failure) or at intent scope (union of all units' gates, deduped by command, stamped on intent.md). Engine-callable from the cursor's dispatch_quality_gates action.",inputSchema:{type:"object",properties:{intent:{type:"string"},stage:{type:"string"},units:{type:"array",items:{type:"string"}},scope:{type:"string",enum:["intent","stage"]}},required:["intent"]},async handle(e){let t=e.intent,n=e.stage||"",r=e.units||[];return(e.scope??(n===""?"intent":"stage"))==="intent"?qer(t):Her(t,n,r)}}});import{existsSync as T0t,readFileSync as Wer}from"node:fs";import{join as e6}from"node:path";var v0t,A0t=v(()=>{"use strict";ns();xa();ji();uo();ze();To();Gi();Fv();vs();v0t={name:"haiku_drop_stage",description:"Drop an OPTIONAL stage from an intent's plan. Use when the elaborate-loop offered a keep-or-drop decision for an optional stage (e.g. design / product / operations / release) and this intent doesn't need it. Removes the stage from the intent's plan; the next haiku_run_next advances to the following stage. Only the ACTIVE, not-yet-started stage can be dropped \u2014 refuses a non-active stage (drop_stage_not_active), a non-optional stage (drop_stage_not_optional), or a started stage (drop_stage_already_started).",inputSchema:g0,async handle(e){let t=Be(e,vge,"haiku_drop_stage");if(t)return t;let{intent:n,stage:r}=e,i=ve(),s=e6(i,"intents",n),o=e6(s,"intent.md");if(!T0t(o))return ye(JSON.stringify({error:"not_found",message:`Intent '${n}' not found`}));let a=re(Wer(o,"utf8")).data,c=a.studio||"";if(!c)return ye(JSON.stringify({error:"studio_not_selected",message:`Intent '${n}' has no studio selected.`}));let u=ai(n,c,s)??"";if(r!==u)return ye(JSON.stringify({error:"drop_stage_not_active",message:`Stage '${r}' is not the active stage of intent '${n}' (active: '${u||"(none)"}'). An optional stage can only be dropped when the cursor is on it \u2014 the decision is made at arrival, not for a future or past stage.`}));if(!ZD(c,r))return ye(JSON.stringify({error:"drop_stage_not_optional",message:`Stage '${r}' is not optional (no \`optional: true\` in its STAGE.md). Mandatory stages cannot be dropped.`}));let l=e6(s,"stages",r);if(T0t(e6(l,"elaboration.md"))||ov(l).length>0)return ye(JSON.stringify({error:"drop_stage_already_started",message:`Stage '${r}' has already started (elaboration recorded or units drafted). 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-`);return r.human_write_require_rationale===!0}catch{return!1}}function $er(e){let t=zv(e,"write-audit.jsonl");if(!Gv(t))return 1;try{return v_e(t,"utf8").split(`
-`).filter(i=>i.trim()!=="").length+1}catch{return 1}}function ttr(e){if(/^knowledge\//.test(e))return{allowed:!0,stageSegment:null};let t=e.match(/^stages\/([^/]+)\/(.+)$/);if(t){let n=t[1],r=t[2];if(/^knowledge\//.test(r)||/^discovery\//.test(r)||/^artifacts\//.test(r)||/^outputs\//.test(r))return{allowed:!0,stageSegment:n}}return{allowed:!1}}function ntr(e,t,n){let r=nv(e),i=__e(t);if(Xer(r)){let l=__e(r);if(!l.startsWith(`${i}/`)&&l!==i)return{ok:!1,code:"path_outside_tracked_surface",reason:"path_escape",path:e,message:`Path '${e}' resolves outside the intent directory.`};r=sU(i,l)}let s=__e(zv(t,r));if(!s.startsWith(`${i}/`)&&s!==i)return{ok:!1,code:"path_outside_tracked_surface",reason:"path_escape",path:e,message:`Path '${e}' resolves outside the intent directory (path escape detected).`};let o=sU(i,s),a=T_e(s);if(Gv(a))try{let l=R0t(a),d=R0t(i);if(!l.startsWith(`${d}/`)&&l!==d)return{ok:!1,code:"path_outside_tracked_surface",reason:"path_escape",path:e,message:`Path '${e}' parent directory resolves outside the intent directory via symlink.`}}catch{return{ok:!1,code:"path_outside_tracked_surface",reason:"path_escape",path:e,message:`Path '${e}': could not resolve parent directory. Rejecting for safety.`}}let c=nv(o);for(let l of etr)if(l.pattern.test(c))return{ok:!1,code:"path_outside_tracked_surface",reason:"deny_list_match",deny_rule:l.rule,path:c,message:`Cannot write to '${c}': ${l.message}`};let u=ttr(c);if(!u.allowed)return{ok:!1,code:"path_outside_tracked_surface",reason:"no_allow_match",path:c,message:`Path '${c}' does not match any allowed tracked-surface pattern (knowledge/, stages/{stage}/knowledge/, stages/{stage}/discovery/, stages/{stage}/artifacts/).`};if(u.stageSegment!==null){let l=u.stageSegment;if(!n.includes(l))return{ok:!1,code:"path_outside_tracked_surface",reason:"invalid_stage",path:c,message:`Path '${c}' references stage '${l}' which does not exist in this intent.`}}return{ok:!0,canonicalPath:c}}var w0t,etr,k0t,I0t=v(()=>{"use strict";w0t=Se(Xt(),1);s5();A0();i5();M9();ze();Gi();vs();etr=[{pattern:/(?:^|\/)units\/[^/]+\.md$/,rule:"stages/{stage}/units/*.md",message:"Unit files are lifecycle-managed. Use haiku_unit_write or haiku_unit_set."},{pattern:/(?:^|\/)feedback\/[^/]+\.md$/,rule:"stages/{stage}/feedback/*.md",message:"Feedback files are lifecycle-managed. Use haiku_feedback or haiku_feedback_write."},{pattern:/(?:^|\/)intent\.md$/,rule:"intent.md",message:"intent.md is workflow-engine-managed. Use haiku_intent_get or haiku_run_next."},{pattern:/(?:^|\/)state\.json$/,rule:"stages/{stage}/state.json",message:"state.json is workflow engine-internal. Use haiku_run_next or a dedicated MCP tool."},{pattern:/(?:^|\/)baseline\.json$/,rule:"stages/{stage}/baseline.json",message:"baseline.json is managed by the drift-detection gate. Direct writes desync SHA tracking."},{pattern:/(?:^|\/)drift-markers\.json$/,rule:"drift-markers.json",message:"drift-markers.json is an internal workflow-engine artifact. Do not write directly."},{pattern:/(?:^|\/)\.baseline-ack$/,rule:"stages/{stage}/.baseline-ack",message:".baseline-ack is the operator-only baseline-reset acknowledgement marker. Only /haiku:haiku-repair --confirm-baseline-reset can write it; the agent has no path. This is the V-11 defence against silent baseline laundering."},{pattern:/(?:^|\/)baseline-thrash\.json$/,rule:"stages/{stage}/baseline-thrash.json",message:"baseline-thrash.json is the V-11 baseline-corruption circuit breaker. Managed exclusively by the drift-detection gate."},{pattern:/(?:^|\/)write-audit\.jsonl$/,rule:"write-audit.jsonl",message:"write-audit.jsonl is append-only and managed exclusively by the haiku_human_write tool."},{pattern:/(?:^|\/)drift-assessments\//,rule:"drift-assessments/*",message:"drift-assessments/ entries are managed by the workflow engine's assessment pipeline."}];k0t={name:"haiku_human_write",description:"Write a file to the intent's tracked surface as a human-attributed write. Use when a user explicitly instructs the agent to write a file on their behalf (e.g. 'save this config to knowledge/'). The file is written atomically, attributed to the human via an action-log entry, and appended to the write-audit log. The baseline is NOT updated \u2014 the next drift-gate tick detects the change and dispatches manual_change_assessment. Allowed destinations: knowledge/, stages/{stage}/knowledge/, stages/{stage}/discovery/, stages/{stage}/artifacts/ (or outputs/ alias). Workflow-managed files (units, feedback, intent.md, state.json) are refused.",inputSchema:{type:"object",properties:{intent_slug:{type:"string",description:"The slug of the active intent."},path:{type:"string",description:"Destination file path \u2014 intent-relative (e.g. knowledge/brand-guide.md) or absolute within the intent directory. Path is canonicalised (outputs/ \u2192 artifacts/) before validation."},content:{type:"string",description:"File content. UTF-8 string by default. Pass base64-encoded bytes and set content_encoding: 'base64' for binary files."},content_encoding:{type:"string",enum:["utf-8","base64"],description:"Encoding of the content field. Default: 'utf-8'."},claimed_author_id:{type:"string",description:"Self-reported identifier (username, email, UUID) of who the agent BELIEVES gave the instruction. Captured in the audit log as a CLAIM, not an authoritative identity \u2014 the server does not cross-check against any session or OS identity. Reviewers reading audit logs MUST treat this as 'what the agent said' rather than 'who did it'. (V-03 mitigation: renamed from `human_author_id` so consumers stop treating it as authoritative.)"},human_author_id:{type:"string",description:"DEPRECATED legacy alias for `claimed_author_id`. Accepted for backwards compatibility; the value is mirrored to `claimed_author_id` on persistence. New callers MUST use `claimed_author_id`."},rationale:{type:"string",description:"Short free-text explanation of why the human requested this write. Strongly recommended. Required when the plugin setting human_write_require_rationale is true."},user_instruction_excerpt:{type:"string",description:"The user's instruction as it appeared in chat (first 200 chars). Captured in the audit log for security review. Self-reported by the agent."},overwrite:{type:"boolean",description:"Whether to overwrite the file if it already exists. Default: true. When false, returns path_already_exists if the destination exists."},create_dirs:{type:"boolean",description:"Whether to create intermediate directories if they do not exist. Default: true. When false, returns parent_dir_missing if the parent directory is absent."}},required:["intent_slug","path","content"]},async handle(e){let t=e.intent_slug,n=e.path,r=e.content,i=e.content_encoding??"utf-8",s=e.claimed_author_id??e.human_author_id??null,o=e.rationale??null,a=e.user_instruction_excerpt??null,c=e.overwrite??!0,u=e.create_dirs??!0,l=Vg({intent:t});if(l)return l;let d=ve(),f=zv(d,"intents",t),p=zv(f,"intent.md");if(!Gv(p))return{content:[{type:"text",text:JSON.stringify({ok:!1,error:"intent_not_found",message:`Intent '${t}' not found.`},null,2)}],isError:!0};if(o1(f))return{content:[{type:"text",text:JSON.stringify({ok:!1,error:"intent_not_active",message:`Intent '${t}' is archived. Unarchive it first with haiku_intent_unarchive.`},null,2)}],isError:!0};if(s1(f))return{content:[{type:"text",text:JSON.stringify({ok:!1,error:"intent_locked",message:`Intent '${t}' is locked. Unlock it before issuing human-attributed writes.`},null,2)}],isError:!0};if(i!=="utf-8"&&i!=="base64")return{content:[{type:"text",text:JSON.stringify({ok:!1,error:"invalid_content_encoding",message:`Unrecognized content_encoding '${i}'. Valid values: 'utf-8', 'base64'.`},null,2)}],isError:!0};let h;if(i==="base64"?h=Buffer.from(r,"base64"):h=Buffer.from(r,"utf8"),h.length===0)return{content:[{type:"text",text:JSON.stringify({ok:!1,error:"empty_content",message:"Empty content is not permitted. The file must have at least one byte."},null,2)}],isError:!0};if(Qer(d)&&(!o||o.trim()===""))return{content:[{type:"text",text:JSON.stringify({ok:!1,error:"rationale_required",message:"Plugin settings require a rationale for human-attributed writes. Provide a short explanation of why the human requested this write in the 'rationale' field.",config_key:"human_write_require_rationale"},null,2)}],isError:!0};let m=Ryt(f),y=ntr(n,f,m);if(!y.ok)return{content:[{type:"text",text:JSON.stringify({ok:!1,error:y.code,path:y.path,reason:y.reason,...y.reason==="deny_list_match"&&y.deny_rule?{deny_rule:y.deny_rule}:{},message:y.message},null,2)}],isError:!0};let{canonicalPath:g}=y,E=zv(f,g),S=T_e(E);if(!c&&Gv(E)){let M="";try{let{createHash:q}=await import("node:crypto"),U=v_e(E);M=q("sha256").update(U).digest("hex")}catch{}return{content:[{type:"text",text:JSON.stringify({ok:!1,error:"path_already_exists",path:g,existing_sha:M,message:`Path '${g}' already exists and overwrite is false. Set overwrite: true to replace it.`},null,2)}],isError:!0}}if(!u&&!Gv(S))return{content:[{type:"text",text:JSON.stringify({ok:!1,error:"parent_dir_missing",path:g,missing_dir:sU(f,S),message:`Parent directory '${sU(f,S)}' does not exist and create_dirs is false.`},null,2)}],isError:!0};let b=[];if(u){let M=S,q=[];for(;!Gv(M);){q.unshift(M);let U=T_e(M);if(U===M)break;M=U}for(let U of q)b.push(sU(f,U))}let _=Ker("sha256").update(h).digest("hex"),T=process.pid,A=Zer(6).toString("hex"),R=zv(f,`.hwm-tmp-${T}-${A}.tmp`);try{await Jer(R,h)}catch(M){return U0(R),{content:[{type:"text",text:JSON.stringify({ok:!1,error:"disk_write_failed",path:g,message:`Failed to write tempfile for '${g}': ${String(M)}`},null,2)}],isError:!0}}let x=fv(f,S,R,E);if(!x.ok){U0(R);let M=x.code==="parent_chain_contains_symlink"||x.code==="parent_chain_escape";return{content:[{type:"text",text:JSON.stringify({ok:!1,error:M?"path_outside_tracked_surface":"disk_write_failed",path:g,reason:M?x.code:void 0,message:M?`Refused to write '${g}': parent directory chain failed symlink-safety check (${x.code}).`:`Failed to write '${g}': ${x.detail}`},null,2)}],isError:!0}}let k=g.match(/^stages\/([^/]+)\//),N=k===null,P;try{P=N?a1(f):CE(f,k[1])}catch(M){if(M instanceof qd){try{Yer(E)}catch{}return{content:[{type:"text",text:JSON.stringify({ok:!1,error:"disk_write_failed",path:g,reason:"tick_persist_failed",message:`Failed to persist tick counter for '${g}': ${M.message}`},null,2)}],isError:!0}}throw M}let C=N?"intent":"stage",F=new Date().toISOString().replace(/\.\d{3}Z$/,"Z"),V=$er(f),K=U1(P,V),$=_9(d);await Pv(f,P,{entry_type:"human_write",path:g,sha:_,author_class:"human-via-mcp",timestamp:F,claimed_author_id:s,human_author_id:s,entry_id:K,tick_counter:P,tick_scope:C});let B=!1,X;if($)X="drift_detection_disabled";else{let M=a?zvt(a):null;B=(await F1(f,{timestamp:F,entry_id:K,path:g,sha:_,author_class:"human-via-mcp",claimed_author_id:s,human_author_id:s,rationale:o,user_instruction_excerpt:M,tick_counter:P,session_id:null,overwrite:c,dirs_created:b,audit_log_appended:!0,tick_scope:C})).ok}let G={ok:!0,path:g,sha:_,author_class:"human-via-mcp",timestamp:F,claimed_author_id:s,human_author_id:s,dirs_created:b,action_log_entry_id:K,audit_log_appended:B};return X&&(G.reason=X),ye(JSON.stringify(G,null,2))}}});import{existsSync as rtr,readFileSync as itr}from"node:fs";import{join as otr}from"node:path";var x0t,O0t=v(()=>{"use strict";vr();ze();Gi();vs();x0t={name:"haiku_intent_archive",description:"Archive an intent \u2014 sets the `archived: true` frontmatter flag so the intent is hidden from default list views. Reversible via haiku_intent_unarchive. Does not prompt for confirmation.",inputSchema:{type:"object",properties:{intent:{type:"string",description:"Intent slug to archive"}},required:["intent"]},handle(e){let t=e.intent,n=ve(),r=otr(n,"intents",t,"intent.md");if(!rtr(r))return{content:[{type:"text",text:`Intent '${t}' not found.`}],isError:!0};let{data:i}=re(itr(r,"utf8"));if(i.archived===!0)return ye(JSON.stringify({action:"noop",slug:t,path:r,message:`Intent '${t}' is already archived.`},null,2));let s=gr(t,void 0);return s.ok?(De(r,"archived",!0),It(`haiku: archive intent ${t}`),ye(JSON.stringify({action:"intent_archived",slug:t,path:r,message:`Intent '${t}' has been archived. Call haiku_intent_unarchive to restore it.`},null,2))):{content:[{type:"text",text:`Error: branch enforcement failed for intent archive '${t}' \u2014 ${s.message}. Resolve manually and retry.`}],isError:!0}}}});import{execFileSync as t6}from"node:child_process";import{existsSync as atr,mkdirSync as A_e,writeFileSync as R_e}from"node:fs";import{join as tm}from"node:path";function N0t(e){let t=e.trim();if(!t)return null;let n="quick|continuous|discrete|hybrid|autopilot",r="inception|design|product|development|operations|security",i=[{re:new RegExp(`\\b(?:in|using|use|with|the|a)\\s+(?:${n})\\s+mode\\b`,"i"),label:"mode reference"},{re:new RegExp(`\\b(?:${n})-mode\\b`,"i"),label:"mode reference"},{re:new RegExp(`\\bonly\\s+(?:in|with|the|a)?\\s*(?:${r})\\s+(?:stage|phase)\\b`,"i"),label:"stage / phase restriction"},{re:new RegExp(`\\bonly\\s+(?:run|use|do|in|with)\\s+(?:the\\s+)?(?:${r})\\s+(?:stage|phase)?\\b`,"i"),label:"stage / phase restriction"},{re:new RegExp(`\\bin\\s+(?:the\\s+)?(?:${r})\\s+(?:stage|phase)\\b(?!\\s+of\\b)`,"i"),label:"stage / phase reference"},{re:/\b(?:use|using)\s+(?:the\s+)?\w+\s+studio\b/i,label:"studio reference"},{re:/\b(?:studio|mode|stages?)\s*:\s*\w+/i,label:"raw frontmatter in description"}];for(let{re:s,label:o}of i){let a=t.match(s);if(a)return`${o}: "${a[0]}"`}return null}var P0t,C0t=v(()=>{"use strict";vr();Ife();QL();ji();uo();ze();Kn();To();l_();Gi();vs();P0t={name:"haiku_intent_create",description:"Create a new intent. Returns the slug + path. Title is required (crisp 3\u20138 word summary, \u226480 chars, single line). If the user started the intent from a referenced file (a spec, a doc, a screenshot, a path like `~/Downloads/spec.pdf`, or a dragged-in attachment), READ it and synthesize its relevant substance directly into `description` and `context` \u2014 NEVER pass the file path in any field. An absolute path leaks the user's machine layout and the external file won't travel with the intent; the intent must stand on its own from its own text (capture what the file says, not where it lives). Studio, mode, and (for quick) stage are selected by the engine on the next haiku_run_next call \u2014 the tick blocks on the SPA picker until the user chooses, then continues to real workflow actions. The agent does NOT call select_* tools directly; just call haiku_run_next after creating the intent. **`studio_candidates` is REQUIRED** \u2014 the 2\u20134 studios from `haiku_studio_list` that best fit what you just described. You have the description in context right now; this is the moment to narrow the picker so the user isn't scrolling the whole registry. The picker presents your shortlist first and tucks the rest behind a 'Show all studios\u2026' expansion, so narrowing is never lossy. If you call without it, the tool tells you to fetch `haiku_studio_list` and retry. Always creates a fresh intent \u2014 `/haiku:haiku-start` does not resume; use `/haiku:haiku-pickup` for that.",inputSchema:xL,handle(e){let t=e.description,n=e.title,r=e.slug;if(!n||typeof n!="string")return ye(JSON.stringify({error:"missing_title",message:'haiku_intent_create requires a `title` parameter \u2014 a crisp 3\u20138 word summary (\u226480 chars, single line, no trailing period). Write it deliberately; do NOT pass a truncated description. Example: title: "Add archivable intents".'}));if(/[\r\n]/.test(n))return ye(JSON.stringify({error:"invalid_title",message:"`title` must be a single line \u2014 got newlines. Rewrite as a crisp 3\u20138 word summary (\u226480 chars) and call again."}));let i=n.trim().replace(/\s+/g," ");if(i1(i))return ye(JSON.stringify({error:"invalid_title",message:`\`title\` must be non-empty and \u226480 chars after trimming. Got ${i.length} chars. Rewrite as a 3\u20138 word summary and call again.`}));let s=N0t(i),o=N0t(t||"");if(s||o){let g=s&&o?"title and description":s?"title":"description",E=s||o;return ye(JSON.stringify({error:"intent_create_meta_pollution",where:g,match:E,message:`The ${g} contains workflow configuration phrasing (${E}). Studio, mode, and stage are engine-managed \u2014 the next haiku_run_next call will run the SPA picker to let the user choose them. The intent's title and description should describe the substance of what to build or accomplish, not the workflow shape. Re-ask the user what they want to BUILD (not how to configure the workflow), then call haiku_intent_create again with that as the description.`}))}let a=e.studio_candidates;if(!Array.isArray(a)||a.length===0)return ye(JSON.stringify({error:"studio_candidates_required",message:'haiku_intent_create requires `studio_candidates`: the 2\u20134 studios that best fit what you\'re building. You have the description in context now \u2014 this is the moment to narrow the picker so the user isn\'t scrolling the whole registry. To recover: call `haiku_studio_list` (it returns every studio with its name + description), pick the 2\u20134 closest matches, then call haiku_intent_create again with `studio_candidates: ["<name>", \u2026]` using the canonical `name` from that list. The picker still shows the rest behind a "Show all studios\u2026" expansion, so narrowing is never lossy.'}));let c=[];for(let g of a){if(typeof g!="string")continue;let E=si(g);E&&!c.includes(E.name)&&c.push(E.name)}if(c.length===0)return ye(JSON.stringify({error:"studio_candidates_unresolved",received:a,message:"None of the `studio_candidates` you passed resolve to a real studio. Call `haiku_studio_list` to see the valid studios, then retry with the canonical `name`, slug, or a known alias for the 2\u20134 that best fit."}));r||(r=i.toLowerCase().replace(/[^a-z0-9\s-]/g,"").replace(/\s+/g,"-").replace(/-+/g,"-").replace(/^-|-$/g,"").slice(0,50).replace(/-$/,"")),r=rr(r,"intent slug");let u=e.state_file,l=ve(),d=tm(l,"intents",r),f=`haiku/${r}/main`;if(Re())try{let g=Kfe();jt(f)||RI(r,g||void 0);let E="";try{E=t6("git",["rev-parse","--abbrev-ref","HEAD"],{encoding:"utf8",stdio:"pipe"}).trim()}catch{}E!==f&&t6("git",["checkout",f],{encoding:"utf8",stdio:"pipe"})}catch(g){let E=g instanceof Error?g.message:String(g);return{content:[{type:"text",text:`Error: failed to switch to intent branch '${f}'. Stash or commit uncommitted changes, or remove the worktree holding '${f}' if it's checked out elsewhere, then retry. Raw git error: ${E}`}],isError:!0}}if(atr(tm(d,"intent.md")))return ye(JSON.stringify({error:"intent_exists",slug:r,message:`Intent '${r}' already exists`}));A_e(tm(d,"knowledge"),{recursive:!0}),A_e(tm(d,"stages"),{recursive:!0});let p=e.context,h=(t||"").trim(),m=["---",`title: "${i.replace(/"/g,'\\"')}"`,'studio: ""',`plugin_version: "${bS()}"`,"status: active",`created_at: ${bn()}`,"---","",`# ${i}`,"",...h?[h,""]:[],...p?[p,""]:[]].join(`
-`);if(R_e(tm(d,"intent.md"),m),De(tm(d,"intent.md"),"studio_candidates",c),R_e(tm(d,".gitattributes"),["# Engine-owned append-only event streams. `merge=union` tells git","# to concatenate both sides on conflict \u2014 these files are pure","# event streams and never benefit from manual conflict resolution.","action-log.jsonl merge=union","write-audit.jsonl merge=union",""].join(`
-`)),Re())try{let g=`.haiku/intents/${r}/.gitattributes`;t6("git",["add","--",g],{stdio:"pipe"}),t6("git",["commit","-m",`haiku: seed .gitattributes (merge=union for event streams) for ${r}`,"--",g],{stdio:"pipe"})}catch{}if(p){let g=tm(d,"knowledge");A_e(g,{recursive:!0}),R_e(tm(g,"CONVERSATION-CONTEXT.md"),`# Conversation Context
+`);return r.human_write_require_rationale===!0}catch{return!1}}function Ltr(e){let t=Wv(e,"write-audit.jsonl");if(!Vv(t))return 1;try{return M_e(t,"utf8").split(`
+`).filter(i=>i.trim()!=="").length+1}catch{return 1}}function Ftr(e){if(/^knowledge\//.test(e))return{allowed:!0,stageSegment:null};let t=e.match(/^stages\/([^/]+)\/(.+)$/);if(t){let n=t[1],r=t[2];if(/^knowledge\//.test(r)||/^discovery\//.test(r)||/^artifacts\//.test(r)||/^outputs\//.test(r))return{allowed:!0,stageSegment:n}}return{allowed:!1}}function jtr(e,t,n){let r=rv(e),i=N_e(t);if(Mtr(r)){let l=N_e(r);if(!l.startsWith(`${i}/`)&&l!==i)return{ok:!1,code:"path_outside_tracked_surface",reason:"path_escape",path:e,message:`Path '${e}' resolves outside the intent directory.`};r=SU(i,l)}let s=N_e(Wv(t,r));if(!s.startsWith(`${i}/`)&&s!==i)return{ok:!1,code:"path_outside_tracked_surface",reason:"path_escape",path:e,message:`Path '${e}' resolves outside the intent directory (path escape detected).`};let o=SU(i,s),a=C_e(s);if(Vv(a))try{let l=q0t(a),d=q0t(i);if(!l.startsWith(`${d}/`)&&l!==d)return{ok:!1,code:"path_outside_tracked_surface",reason:"path_escape",path:e,message:`Path '${e}' parent directory resolves outside the intent directory via symlink.`}}catch{return{ok:!1,code:"path_outside_tracked_surface",reason:"path_escape",path:e,message:`Path '${e}': could not resolve parent directory. Rejecting for safety.`}}let c=rv(o);for(let l of Utr)if(l.pattern.test(c))return{ok:!1,code:"path_outside_tracked_surface",reason:"deny_list_match",deny_rule:l.rule,path:c,message:`Cannot write to '${c}': ${l.message}`};let u=Ftr(c);if(!u.allowed)return{ok:!1,code:"path_outside_tracked_surface",reason:"no_allow_match",path:c,message:`Path '${c}' does not match any allowed tracked-surface pattern (knowledge/, stages/{stage}/knowledge/, stages/{stage}/discovery/, stages/{stage}/artifacts/).`};if(u.stageSegment!==null){let l=u.stageSegment;if(!n.includes(l))return{ok:!1,code:"path_outside_tracked_surface",reason:"invalid_stage",path:c,message:`Path '${c}' references stage '${l}' which does not exist in this intent.`}}return{ok:!0,canonicalPath:c}}var B0t,Utr,z0t,G0t=v(()=>{"use strict";B0t=Re(Kt(),1);_6();k0();E6();YY();Ge();zi();vs();Utr=[{pattern:/(?:^|\/)units\/[^/]+\.md$/,rule:"stages/{stage}/units/*.md",message:"Unit files are lifecycle-managed. Use haiku_unit_write or haiku_unit_set."},{pattern:/(?:^|\/)feedback\/[^/]+\.md$/,rule:"stages/{stage}/feedback/*.md",message:"Feedback files are lifecycle-managed. Use haiku_feedback or haiku_feedback_write."},{pattern:/(?:^|\/)intent\.md$/,rule:"intent.md",message:"intent.md is workflow-engine-managed. Use haiku_intent_get or haiku_run_next."},{pattern:/(?:^|\/)state\.json$/,rule:"stages/{stage}/state.json",message:"state.json is workflow engine-internal. Use haiku_run_next or a dedicated MCP tool."},{pattern:/(?:^|\/)baseline\.json$/,rule:"stages/{stage}/baseline.json",message:"baseline.json is managed by the drift-detection gate. Direct writes desync SHA tracking."},{pattern:/(?:^|\/)drift-markers\.json$/,rule:"drift-markers.json",message:"drift-markers.json is an internal workflow-engine artifact. Do not write directly."},{pattern:/(?:^|\/)\.baseline-ack$/,rule:"stages/{stage}/.baseline-ack",message:".baseline-ack is the operator-only baseline-reset acknowledgement marker. Only /haiku:haiku-repair --confirm-baseline-reset can write it; the agent has no path. This is the V-11 defence against silent baseline laundering."},{pattern:/(?:^|\/)baseline-thrash\.json$/,rule:"stages/{stage}/baseline-thrash.json",message:"baseline-thrash.json is the V-11 baseline-corruption circuit breaker. Managed exclusively by the drift-detection gate."},{pattern:/(?:^|\/)write-audit\.jsonl$/,rule:"write-audit.jsonl",message:"write-audit.jsonl is append-only and managed exclusively by the haiku_human_write tool."},{pattern:/(?:^|\/)drift-assessments\//,rule:"drift-assessments/*",message:"drift-assessments/ entries are managed by the workflow engine's assessment pipeline."}];z0t={name:"haiku_human_write",description:"Write a file to the intent's tracked surface as a human-attributed write. Use when a user explicitly instructs the agent to write a file on their behalf (e.g. 'save this config to knowledge/'). The file is written atomically, attributed to the human via an action-log entry, and appended to the write-audit log. The baseline is NOT updated \u2014 the next drift-gate tick detects the change and dispatches manual_change_assessment. Allowed destinations: knowledge/, stages/{stage}/knowledge/, stages/{stage}/discovery/, stages/{stage}/artifacts/ (or outputs/ alias). Workflow-managed files (units, feedback, intent.md, state.json) are refused.",inputSchema:{type:"object",properties:{intent_slug:{type:"string",description:"The slug of the active intent."},path:{type:"string",description:"Destination file path \u2014 intent-relative (e.g. knowledge/brand-guide.md) or absolute within the intent directory. Path is canonicalised (outputs/ \u2192 artifacts/) before validation."},content:{type:"string",description:"File content. UTF-8 string by default. Pass base64-encoded bytes and set content_encoding: 'base64' for binary files."},content_encoding:{type:"string",enum:["utf-8","base64"],description:"Encoding of the content field. Default: 'utf-8'."},claimed_author_id:{type:"string",description:"Self-reported identifier (username, email, UUID) of who the agent BELIEVES gave the instruction. Captured in the audit log as a CLAIM, not an authoritative identity \u2014 the server does not cross-check against any session or OS identity. Reviewers reading audit logs MUST treat this as 'what the agent said' rather than 'who did it'. (V-03 mitigation: renamed from `human_author_id` so consumers stop treating it as authoritative.)"},human_author_id:{type:"string",description:"DEPRECATED legacy alias for `claimed_author_id`. Accepted for backwards compatibility; the value is mirrored to `claimed_author_id` on persistence. New callers MUST use `claimed_author_id`."},rationale:{type:"string",description:"Short free-text explanation of why the human requested this write. Strongly recommended. Required when the plugin setting human_write_require_rationale is true."},user_instruction_excerpt:{type:"string",description:"The user's instruction as it appeared in chat (first 200 chars). Captured in the audit log for security review. Self-reported by the agent."},overwrite:{type:"boolean",description:"Whether to overwrite the file if it already exists. Default: true. When false, returns path_already_exists if the destination exists."},create_dirs:{type:"boolean",description:"Whether to create intermediate directories if they do not exist. Default: true. When false, returns parent_dir_missing if the parent directory is absent."}},required:["intent_slug","path","content"]},async handle(e){let t=e.intent_slug,n=e.path,r=e.content,i=e.content_encoding??"utf-8",s=e.claimed_author_id??e.human_author_id??null,o=e.rationale??null,a=e.user_instruction_excerpt??null,c=e.overwrite??!0,u=e.create_dirs??!0,l=Wg({intent:t});if(l)return l;let d=Te(),f=Wv(d,"intents",t),p=Wv(f,"intent.md");if(!Vv(p))return{content:[{type:"text",text:JSON.stringify({ok:!1,error:"intent_not_found",message:`Intent '${t}' not found.`},null,2)}],isError:!0};if(S1(f))return{content:[{type:"text",text:JSON.stringify({ok:!1,error:"intent_not_active",message:`Intent '${t}' is archived. Unarchive it first with haiku_intent_unarchive.`},null,2)}],isError:!0};if(y1(f))return{content:[{type:"text",text:JSON.stringify({ok:!1,error:"intent_locked",message:`Intent '${t}' is locked. Unlock it before issuing human-attributed writes.`},null,2)}],isError:!0};if(i!=="utf-8"&&i!=="base64")return{content:[{type:"text",text:JSON.stringify({ok:!1,error:"invalid_content_encoding",message:`Unrecognized content_encoding '${i}'. Valid values: 'utf-8', 'base64'.`},null,2)}],isError:!0};let h;if(i==="base64"?h=Buffer.from(r,"base64"):h=Buffer.from(r,"utf8"),h.length===0)return{content:[{type:"text",text:JSON.stringify({ok:!1,error:"empty_content",message:"Empty content is not permitted. The file must have at least one byte."},null,2)}],isError:!0};if(Dtr(d)&&(!o||o.trim()===""))return{content:[{type:"text",text:JSON.stringify({ok:!1,error:"rationale_required",message:"Plugin settings require a rationale for human-attributed writes. Provide a short explanation of why the human requested this write in the 'rationale' field.",config_key:"human_write_require_rationale"},null,2)}],isError:!0};let m=Uyt(f),g=jtr(n,f,m);if(!g.ok)return{content:[{type:"text",text:JSON.stringify({ok:!1,error:g.code,path:g.path,reason:g.reason,...g.reason==="deny_list_match"&&g.deny_rule?{deny_rule:g.deny_rule}:{},message:g.message},null,2)}],isError:!0};let{canonicalPath:y}=g,b=Wv(f,y),S=C_e(b);if(!c&&Vv(b)){let F="";try{let{createHash:V}=await import("node:crypto"),U=M_e(b);F=V("sha256").update(U).digest("hex")}catch{}return{content:[{type:"text",text:JSON.stringify({ok:!1,error:"path_already_exists",path:y,existing_sha:F,message:`Path '${y}' already exists and overwrite is false. Set overwrite: true to replace it.`},null,2)}],isError:!0}}if(!u&&!Vv(S))return{content:[{type:"text",text:JSON.stringify({ok:!1,error:"parent_dir_missing",path:y,missing_dir:SU(f,S),message:`Parent directory '${SU(f,S)}' does not exist and create_dirs is false.`},null,2)}],isError:!0};let E=[];if(u){let F=S,V=[];for(;!Vv(F);){V.unshift(F);let U=C_e(F);if(U===F)break;F=U}for(let U of V)E.push(SU(f,U))}let _=Otr("sha256").update(h).digest("hex"),T=process.pid,R=Ptr(6).toString("hex"),A=Wv(f,`.hwm-tmp-${T}-${R}.tmp`);try{await Ctr(A,h)}catch(F){return H0(A),{content:[{type:"text",text:JSON.stringify({ok:!1,error:"disk_write_failed",path:y,message:`Failed to write tempfile for '${y}': ${String(F)}`},null,2)}],isError:!0}}let x=pv(f,S,A,b);if(!x.ok){H0(A);let F=x.code==="parent_chain_contains_symlink"||x.code==="parent_chain_escape";return{content:[{type:"text",text:JSON.stringify({ok:!1,error:F?"path_outside_tracked_surface":"disk_write_failed",path:y,reason:F?x.code:void 0,message:F?`Refused to write '${y}': parent directory chain failed symlink-safety check (${x.code}).`:`Failed to write '${y}': ${x.detail}`},null,2)}],isError:!0}}let k=y.match(/^stages\/([^/]+)\//),P=k===null,N;try{N=P?b1(f):Lb(f,k[1])}catch(F){if(F instanceof Gd){try{Ntr(b)}catch{}return{content:[{type:"text",text:JSON.stringify({ok:!1,error:"disk_write_failed",path:y,reason:"tick_persist_failed",message:`Failed to persist tick counter for '${y}': ${F.message}`},null,2)}],isError:!0}}throw F}let C=P?"intent":"stage",L=new Date().toISOString().replace(/\.\d{3}Z$/,"Z"),G=Ltr(f),W=Z1(N,G),$=DY(d);await Mv(f,N,{entry_type:"human_write",path:y,sha:_,author_class:"human-via-mcp",timestamp:L,claimed_author_id:s,human_author_id:s,entry_id:W,tick_counter:N,tick_scope:C});let q=!1,Q;if($)Q="drift_detection_disabled";else{let F=a?oRt(a):null;q=(await J1(f,{timestamp:L,entry_id:W,path:y,sha:_,author_class:"human-via-mcp",claimed_author_id:s,human_author_id:s,rationale:o,user_instruction_excerpt:F,tick_counter:N,session_id:null,overwrite:c,dirs_created:E,audit_log_appended:!0,tick_scope:C})).ok}let B={ok:!0,path:y,sha:_,author_class:"human-via-mcp",timestamp:L,claimed_author_id:s,human_author_id:s,dirs_created:E,action_log_entry_id:W,audit_log_appended:q};return Q&&(B.reason=Q),ye(JSON.stringify(B,null,2))}}});import{existsSync as Htr,readFileSync as qtr}from"node:fs";import{join as Btr}from"node:path";var V0t,W0t=v(()=>{"use strict";yr();Ge();zi();vs();V0t={name:"haiku_intent_archive",description:"Archive an intent \u2014 sets the `archived: true` frontmatter flag so the intent is hidden from default list views. Reversible via haiku_intent_unarchive. Does not prompt for confirmation.",inputSchema:{type:"object",properties:{intent:{type:"string",description:"Intent slug to archive"}},required:["intent"]},handle(e){let t=e.intent,n=Te(),r=Btr(n,"intents",t,"intent.md");if(!Htr(r))return{content:[{type:"text",text:`Intent '${t}' not found.`}],isError:!0};let{data:i}=re(qtr(r,"utf8"));if(i.archived===!0)return ye(JSON.stringify({action:"noop",slug:t,path:r,message:`Intent '${t}' is already archived.`},null,2));let s=gr(t,void 0);return s.ok?(Me(r,"archived",!0),wt(`haiku: archive intent ${t}`),ye(JSON.stringify({action:"intent_archived",slug:t,path:r,message:`Intent '${t}' has been archived. Call haiku_intent_unarchive to restore it.`},null,2))):{content:[{type:"text",text:`Error: branch enforcement failed for intent archive '${t}' \u2014 ${s.message}. Resolve manually and retry.`}],isError:!0}}}});import{execFileSync as g5}from"node:child_process";import{existsSync as ztr,mkdirSync as D_e,writeFileSync as L_e}from"node:fs";import{join as nm}from"node:path";function K0t(e){let t=e.trim();if(!t)return null;let n="quick|continuous|discrete|hybrid|autopilot",r="inception|design|product|development|operations|security",i=[{re:new RegExp(`\\b(?:in|using|use|with|the|a)\\s+(?:${n})\\s+mode\\b`,"i"),label:"mode reference"},{re:new RegExp(`\\b(?:${n})-mode\\b`,"i"),label:"mode reference"},{re:new RegExp(`\\bonly\\s+(?:in|with|the|a)?\\s*(?:${r})\\s+(?:stage|phase)\\b`,"i"),label:"stage / phase restriction"},{re:new RegExp(`\\bonly\\s+(?:run|use|do|in|with)\\s+(?:the\\s+)?(?:${r})\\s+(?:stage|phase)?\\b`,"i"),label:"stage / phase restriction"},{re:new RegExp(`\\bin\\s+(?:the\\s+)?(?:${r})\\s+(?:stage|phase)\\b(?!\\s+of\\b)`,"i"),label:"stage / phase reference"},{re:/\b(?:use|using)\s+(?:the\s+)?\w+\s+studio\b/i,label:"studio reference"},{re:/\b(?:studio|mode|stages?)\s*:\s*\w+/i,label:"raw frontmatter in description"}];for(let{re:s,label:o}of i){let a=t.match(s);if(a)return`${o}: "${a[0]}"`}return null}var Y0t,Z0t=v(()=>{"use strict";yr();qfe();l1();ji();uo();Ge();Kn();vo();f_();zi();vs();Y0t={name:"haiku_intent_create",description:"Create a new intent. Returns the slug + path. Title is required (crisp 3\u20138 word summary, \u226480 chars, single line). If the user started the intent from a referenced file (a spec, a doc, a screenshot, a path like `~/Downloads/spec.pdf`, or a dragged-in attachment), READ it and synthesize its relevant substance directly into `description` and `context` \u2014 NEVER pass the file path in any field. An absolute path leaks the user's machine layout and the external file won't travel with the intent; the intent must stand on its own from its own text (capture what the file says, not where it lives). Studio, mode, and (for quick) stage are selected by the engine on the next haiku_run_next call \u2014 the tick blocks on the SPA picker until the user chooses, then continues to real workflow actions. The agent does NOT call select_* tools directly; just call haiku_run_next after creating the intent. **`studio_candidates` is REQUIRED** \u2014 the 2\u20134 studios from `haiku_studio_list` that best fit what you just described. You have the description in context right now; this is the moment to narrow the picker so the user isn't scrolling the whole registry. The picker presents your shortlist first and tucks the rest behind a 'Show all studios\u2026' expansion, so narrowing is never lossy. If you call without it, the tool tells you to fetch `haiku_studio_list` and retry. Always creates a fresh intent \u2014 `/haiku:haiku-start` does not resume; use `/haiku:haiku-pickup` for that.",inputSchema:FL,handle(e){let t=e.description,n=e.title,r=e.slug;if(!n||typeof n!="string")return ye(JSON.stringify({error:"missing_title",message:'haiku_intent_create requires a `title` parameter \u2014 a crisp 3\u20138 word summary (\u226480 chars, single line, no trailing period). Write it deliberately; do NOT pass a truncated description. Example: title: "Add archivable intents".'}));if(/[\r\n]/.test(n))return ye(JSON.stringify({error:"invalid_title",message:"`title` must be a single line \u2014 got newlines. Rewrite as a crisp 3\u20138 word summary (\u226480 chars) and call again."}));let i=n.trim().replace(/\s+/g," ");if(g1(i))return ye(JSON.stringify({error:"invalid_title",message:`\`title\` must be non-empty and \u226480 chars after trimming. Got ${i.length} chars. Rewrite as a 3\u20138 word summary and call again.`}));let s=K0t(i),o=K0t(t||"");if(s||o){let y=s&&o?"title and description":s?"title":"description",b=s||o;return ye(JSON.stringify({error:"intent_create_meta_pollution",where:y,match:b,message:`The ${y} contains workflow configuration phrasing (${b}). Studio, mode, and stage are engine-managed \u2014 the next haiku_run_next call will run the SPA picker to let the user choose them. The intent's title and description should describe the substance of what to build or accomplish, not the workflow shape. Re-ask the user what they want to BUILD (not how to configure the workflow), then call haiku_intent_create again with that as the description.`}))}let a=e.studio_candidates;if(!Array.isArray(a)||a.length===0)return ye(JSON.stringify({error:"studio_candidates_required",message:'haiku_intent_create requires `studio_candidates`: the 2\u20134 studios that best fit what you\'re building. You have the description in context now \u2014 this is the moment to narrow the picker so the user isn\'t scrolling the whole registry. To recover: call `haiku_studio_list` (it returns every studio with its name + description), pick the 2\u20134 closest matches, then call haiku_intent_create again with `studio_candidates: ["<name>", \u2026]` using the canonical `name` from that list. The picker still shows the rest behind a "Show all studios\u2026" expansion, so narrowing is never lossy.'}));let c=[];for(let y of a){if(typeof y!="string")continue;let b=si(y);b&&!c.includes(b.name)&&c.push(b.name)}if(c.length===0)return ye(JSON.stringify({error:"studio_candidates_unresolved",received:a,message:"None of the `studio_candidates` you passed resolve to a real studio. Call `haiku_studio_list` to see the valid studios, then retry with the canonical `name`, slug, or a known alias for the 2\u20134 that best fit."}));r||(r=i.toLowerCase().replace(/[^a-z0-9\s-]/g,"").replace(/\s+/g,"-").replace(/-+/g,"-").replace(/^-|-$/g,"").slice(0,50).replace(/-$/,"")),r=rr(r,"intent slug");let u=e.state_file,l=Te(),d=nm(l,"intents",r),f=`haiku/${r}/main`;if(ve())try{let y=ope();Pt(f)||kI(r,y||void 0);let b="";try{b=g5("git",["rev-parse","--abbrev-ref","HEAD"],{encoding:"utf8",stdio:"pipe"}).trim()}catch{}b!==f&&g5("git",["checkout",f],{encoding:"utf8",stdio:"pipe"})}catch(y){let b=y instanceof Error?y.message:String(y);return{content:[{type:"text",text:`Error: failed to switch to intent branch '${f}'. Stash or commit uncommitted changes, or remove the worktree holding '${f}' if it's checked out elsewhere, then retry. Raw git error: ${b}`}],isError:!0}}if(ztr(nm(d,"intent.md")))return ye(JSON.stringify({error:"intent_exists",slug:r,message:`Intent '${r}' already exists`}));D_e(nm(d,"knowledge"),{recursive:!0}),D_e(nm(d,"stages"),{recursive:!0});let p=e.context,h=(t||"").trim(),m=["---",`title: "${i.replace(/"/g,'\\"')}"`,'studio: ""',`plugin_version: "${TS()}"`,"status: active",`created_at: ${En()}`,"---","",`# ${i}`,"",...h?[h,""]:[],...p?[p,""]:[]].join(`
+`);if(L_e(nm(d,"intent.md"),m),Me(nm(d,"intent.md"),"studio_candidates",c),L_e(nm(d,".gitattributes"),["# Engine-owned append-only event streams. `merge=union` tells git","# to concatenate both sides on conflict \u2014 these files are pure","# event streams and never benefit from manual conflict resolution.","action-log.jsonl merge=union","write-audit.jsonl merge=union",""].join(`
+`)),ve())try{let y=`.haiku/intents/${r}/.gitattributes`;g5("git",["add","--",y],{stdio:"pipe"}),g5("git",["commit","-m",`haiku: seed .gitattributes (merge=union for event streams) for ${r}`,"--",y],{stdio:"pipe"})}catch{}if(p){let y=nm(d,"knowledge");D_e(y,{recursive:!0}),L_e(nm(y,"CONVERSATION-CONTEXT.md"),`# Conversation Context
 
 ${p}
-`)}It(`haiku: create intent ${r}`);let y="";if(Re()&&MD()!==null)try{let g=tm(d,"intent.md"),E=epe({slug:r,title:i?`H\xB7AI\xB7K\xB7U: ${i}`:`H\xB7AI\xB7K\xB7U: ${r}`,body:t?`${t}
+`)}wt(`haiku: create intent ${r}`);let g="";if(ve()&&BD()!==null)try{let y=nm(d,"intent.md"),b=ppe({slug:r,title:i?`H\xB7AI\xB7K\xB7U: ${i}`:`H\xB7AI\xB7K\xB7U: ${r}`,body:t?`${t}
 
 ---
 
-Intent slug: \`${r}\`. The H\xB7AI\xB7K\xB7U engine opened this PR as a draft so the work can be watched as stages land. The engine will mark it ready when the intent completes.`:void 0});E.createdUrl?(De(g,"draft_pr_url",E.createdUrl),De(g,"draft_pr_status","draft"),y=`
+Intent slug: \`${r}\`. The H\xB7AI\xB7K\xB7U engine opened this PR as a draft so the work can be watched as stages land. The engine will mark it ready when the intent completes.`:void 0});b.createdUrl?(Me(y,"draft_pr_url",b.createdUrl),Me(y,"draft_pr_status","draft"),g=`
 
-Draft PR opened: ${E.createdUrl}`):E.compareUrl?(De(g,"draft_pr_status","failed"),y=`
+Draft PR opened: ${b.createdUrl}`):b.compareUrl?(Me(y,"draft_pr_status","failed"),g=`
 
-The engine couldn't open the draft PR via the CLI (${E.prError??E.pushError??"unknown"}). Open one manually: ${E.compareUrl}`):(De(g,"draft_pr_status","failed"),y=`
+The engine couldn't open the draft PR via the CLI (${b.prError??b.pushError??"unknown"}). Open one manually: ${b.compareUrl}`):(Me(y,"draft_pr_status","failed"),g=`
 
-The engine couldn't open a draft PR: ${E.message}`),It(`haiku: stamp draft PR status for ${r}`);try{let S=gg(f);!S.ok&&S.error&&console.error(`[haiku_intent_create] push of ${f} after draft-PR stamp failed: ${S.error}`)}catch(S){console.error(`[haiku_intent_create] push after stamp threw: ${S instanceof Error?S.message:String(S)}`)}}catch(g){console.error(`[haiku_intent_create] draft-PR open threw: ${g instanceof Error?g.message:String(g)}`)}return Ke("haiku.intent.created",{intent:r}),u&&qi(u,{event:"intent_created",intent:r}),ye(JSON.stringify({action:"intent_created",slug:r,path:`.haiku/intents/${r}`,message:`Intent '${r}' created. Call haiku_run_next { intent: "${r}" } to begin.${y}`},null,2))}}});import{execFileSync as w_e}from"node:child_process";import{existsSync as M0t,readFileSync as D0t,rmSync as ctr}from"node:fs";import{join as k_e}from"node:path";var L0t,U0t=v(()=>{"use strict";vr();zd();ZE();ze();Gi();vs();L0t={name:"haiku_intent_reset",description:"Reset an intent \u2014 destructively delete all stage branches, the intent main branch, and the intent directory, then return instructions to recreate the intent with the same title/description/context. Requires user confirmation via the SPA picker.",inputSchema:{type:"object",properties:{intent:{type:"string",description:"Intent slug to reset"}},required:["intent"]},async handle(e,t){let n=e.intent,r=ve(),i=k_e(r,"intents",n),s=k_e(i,"intent.md");if(!M0t(s))return{content:[{type:"text",text:`Intent '${n}' not found.`}],isError:!0};let o=D0t(s,"utf8"),{data:a,body:c}=re(o),u=a.title||"",l=c.replace(/^#\s+.*\n+/,"").trim()||u,d=await Wu({intentSlug:n,kind:"confirm",title:`Reset intent "${n}"?`,prompt:`This will DELETE all state (stages, units, knowledge) and recreate the intent with the same description: "${l}". This cannot be undone.`,options:[{id:"reset",label:"Yes, reset",description:"Wipe state and recreate the intent"},{id:"cancel",label:"Cancel",description:"Keep the intent as-is"}],signal:t});if(d.timedOut||!d.selection||d.selection.id!=="reset")return ye(JSON.stringify({action:"cancelled",message:"Reset cancelled."}));let f="",p=k_e(i,"knowledge","CONVERSATION-CONTEXT.md");M0t(p)&&(f=D0t(p,"utf8").replace(/^# Conversation Context\n\n/,""));let m=re(o).data.studio||"";if(Re()){try{let g=pc(),E="";try{E=w_e("git",["rev-parse","--abbrev-ref","HEAD"],{encoding:"utf8",stdio:"pipe"}).trim()}catch{}if(g&&E!==g)try{w_e("git",["checkout",g],{encoding:"utf8",stdio:"pipe"})}catch(S){try{w_e("git",["checkout",`${g}^0`],{encoding:"utf8",stdio:"pipe"})}catch(b){let _=S instanceof Error?S.message:String(S),T=b instanceof Error?b.message:String(b);throw new Error(`could not move HEAD off the haiku branches: \`git checkout ${g}\` failed (${_.split(`
-`)[0]}) AND detached fallback \`git checkout ${g}^0\` also failed (${T.split(`
-`)[0]}). Commit / stash / clean any uncommitted changes here and retry.`)}}}catch(g){let E=g instanceof Error?g.message:String(g);return{content:[{type:"text",text:`Error: failed to move HEAD off the haiku branches before resetting intent '${n}'. ${E}`}],isError:!0}}if(jD(n),m){let g=Fs(m);for(let E of g){let S=`haiku/${n}/${E}`;jt(S)&&gE(n,E)}}let y=`haiku/${n}/main`;jt(y)&&HD(y)}return ctr(i,{recursive:!0,force:!0}),It(`haiku: reset intent ${n} (deleted)`),ye(JSON.stringify({action:"intent_reset",slug:n,title:u,description:l,context:f,message:`Intent '${n}' has been reset. Call haiku_intent_create { title: "${u.replace(/"/g,'\\"')}", description: "${l.replace(/"/g,'\\"').replace(/\n/g,"\\n")}", slug: "${n}"${f?', context: "<preserved context>"':""}, studio_candidates: ["<name>", \u2026] } to recreate it. \`studio_candidates\` is required \u2014 the 2\u20134 studios that best fit, from \`haiku_studio_list\`; if you omit it the recreate call is rejected with instructions to fetch the list and retry.`},null,2))}}});import{existsSync as utr,readFileSync as ltr,writeFileSync as dtr}from"node:fs";import{join as ftr}from"node:path";var I_e,F0t,j0t=v(()=>{"use strict";I_e=Se(Xt(),1);vr();Sx();ji();uo();ze();Gi();vs();F0t={name:"haiku_intent_seal",description:"Stamp `verified_at` on intent.md frontmatter after the pre-intent substance verifier passes. Verifier subagent calls this on a pass; the agent must NOT call it directly. Stamps the verification timestamp and optional notes, freeing the cursor to advance past the pre-intent `elaborate_review` gate. Idempotent (no-op when already verified).",inputSchema:b0,handle(e){let t=Be(e,xge,"haiku_intent_seal");if(t)return t;let n=e.intent,r=e.nonce,i=e.notes??"",s=yx({kind:"intent_elaborate",slug:n},r);if(!s.ok)return{content:[{type:"text",text:JSON.stringify({error:"verifier_nonce_invalid",tool:"haiku_intent_seal",reason:s.reason,message:s.reason==="missing"?`No pending intent-elaboration verifier nonce for '${n}'. The cursor only mints a nonce when emitting the pre-intent elaborate_review action \u2014 call haiku_run_next first, dispatch the verifier subagent with the nonce on the action payload, then have the subagent call this tool with that nonce.`:`Intent-elaboration verifier nonce for '${n}' does not match the cursor's pending value.`},null,2)}],isError:!0};let o=ve(),a=ftr(o,"intents",n,"intent.md");if(!utr(a))return{content:[{type:"text",text:JSON.stringify({error:"intent_not_found",tool:"haiku_intent_seal",message:`Intent '${n}' not found at ${a}.`},null,2)}],isError:!0};let c=gr(n,void 0);if(!c.ok)return{content:[{type:"text",text:`Error: branch enforcement failed for intent seal '${n}' \u2014 ${c.message}. Resolve manually and retry.`}],isError:!0};let u=ltr(a,"utf8"),l=(0,I_e.default)(u),d=l.data;if(typeof d.verified_at=="string"&&d.verified_at)return ye(JSON.stringify({action:"noop",slug:n,path:a,verified_at:d.verified_at,message:`Intent '${n}' is already verified.`},null,2));let f=new Date().toISOString(),p={...d,verified_at:f};return i.trim()&&(p.verified_notes=i.trim()),dtr(a,I_e.default.stringify(l.content,p)),It(`haiku: seal pre-intent elaboration for ${n}`),ye(JSON.stringify({action:"intent_sealed",slug:n,path:a,verified_at:f,...i.trim()?{verified_notes:i.trim()}:{},message:`Sealed pre-intent elaboration for '${n}'. The cursor will walk into the first stage's elaborate gate on the next tick.`},null,2))}}});import{existsSync as ptr,readFileSync as htr,writeFileSync as mtr}from"node:fs";import{join as gtr}from"node:path";var x_e,H0t,q0t=v(()=>{"use strict";x_e=Se(Xt(),1);vr();ze();Gi();vs();H0t={name:"haiku_intent_unarchive",description:"Unarchive an intent \u2014 clears the `archived` frontmatter flag so the intent reappears in default list views. Reversible via haiku_intent_archive. Does not prompt for confirmation.",inputSchema:{type:"object",properties:{intent:{type:"string",description:"Intent slug to unarchive"}},required:["intent"]},handle(e){let t=e.intent,n=ve(),r=gtr(n,"intents",t,"intent.md");if(!ptr(r))return{content:[{type:"text",text:`Intent '${t}' not found.`}],isError:!0};let i=htr(r,"utf8"),s=(0,x_e.default)(i);if(s.data.archived!==!0)return ye(JSON.stringify({action:"noop",slug:t,path:r,message:`Intent '${t}' is not archived.`},null,2));let o=gr(t,void 0);if(!o.ok)return{content:[{type:"text",text:`Error: branch enforcement failed for intent unarchive '${t}' \u2014 ${o.message}. Resolve manually and retry.`}],isError:!0};let{archived:a,...c}=s.data;return mtr(r,x_e.default.stringify(s.content,c)),It(`haiku: unarchive intent ${t}`),ye(JSON.stringify({action:"intent_unarchived",slug:t,path:r,message:`Intent '${t}' has been unarchived.`},null,2))}}});import{createHash as ytr}from"node:crypto";import{existsSync as B0t,readFileSync as G0t}from"node:fs";function Str(e){let t=e.match(/^(.*\/\.haiku\/intents\/[^/]+)\/(.+)$/);if(!t)return null;let n=t[2],r=n.match(/^stages\/([^/]+)\//);return{intentDir:t[1],pathRel:n,stageOwner:r?r[1]:null}}function Etr(e){return!!(/^stages\/[^/]+\/(?:artifacts|outputs|knowledge|discovery)\//.test(e)||/^knowledge\//.test(e))}function btr(e){let t=tbe(e);if(!B0t(t))return 1;try{return G0t(t,"utf8").split(`
-`).filter(n=>n.trim()!=="").length+1}catch{return 1}}async function n6(e){let t=Str(e);if(!t)return{stamped:!1,reason:"not_in_intent_dir"};if(!Etr(t.pathRel))return{stamped:!1,reason:"not_in_tracked_surface"};if(!B0t(e))return{stamped:!1,reason:"file_missing"};let n;try{n=ytr("sha256").update(G0t(e)).digest("hex")}catch{return{stamped:!1,reason:"read_failed"}}let r=t.stageOwner?CE(t.intentDir,t.stageOwner):CE(t.intentDir),i=btr(t.intentDir),s=String(i).padStart(2,"0"),o=`AGW-${r}-${s}`,a=new Date().toISOString().replace(/\.\d{3}Z$/,"Z"),c=t.stageOwner?"stage":"intent",u=nv(t.pathRel);return await Pv(t.intentDir,r,{entry_type:"agent_write",path:u,sha:n,author_class:"agent",timestamp:a,claimed_author_id:null,human_author_id:null,entry_id:o,tick_counter:r,tick_scope:c}),{stamped:!0,pathRel:u,sha:n,tickCounter:r,tickScope:c}}var O_e=v(()=>{"use strict";s5();A0()});import{realpathSync as z0t}from"node:fs";import{isAbsolute as _tr,join as V0t}from"node:path";function N_e(e,t){return{content:[{type:"text",text:JSON.stringify({ok:!1,code:e,message:t},null,2)}],isError:!0}}var W0t,K0t=v(()=>{"use strict";O_e();ze();Gi();W0t={name:"haiku_record_agent_write",description:"Record an agent_write entry in the intent's action log for a tracked-surface file the agent just wrote via the harness's Write/Edit tool. Use only on harnesses that don't fire PostToolUse hooks (i.e., NOT Claude Code \u2014 on CC, the `stamp-agent-write` hook does this automatically). The next drift-gate tick will silently absorb the change into the baseline so the agent isn't asked to classify its own deliberate writes. Tracked-surface paths: `stages/<X>/{artifacts,outputs,knowledge,discovery}/...` and intent-root `knowledge/...`. Workflow-managed paths (`units/`, `feedback/`, `state.json`, `intent.md`) and paths outside the intent dir don't need (and won't get) a stamp.",inputSchema:{type:"object",properties:{intent_slug:{type:"string",description:"Slug of the intent that owns the file you just wrote."},path:{type:"string",description:"Path of the file you just wrote. Either intent-relative (e.g. `stages/design/artifacts/spec.md`) or absolute. The tool resolves it against the intent dir and verifies it falls inside the drift-tracked surface before stamping."}},required:["intent_slug","path"]},async handle(e){let t=e.intent_slug,n=e.path;if(typeof t!="string"||t.trim()==="")return N_e("missing_intent_slug","`intent_slug` is required and must be a non-empty string.");if(typeof n!="string"||n.trim()==="")return N_e("missing_path","`path` is required and must be a non-empty string.");let r=Vg({intent:t});if(r)return r;let i=ve(),s=V0t(i,"intents",t),o=_tr(n)?n:V0t(s,n),a=(()=>{try{return z0t(s)}catch{return s}})(),c=(()=>{try{return z0t(o)}catch{return o}})();if(!c.startsWith(`${a}/`)&&c!==a)return N_e("path_outside_intent",`Absolute path '${n}' resolves outside the intent dir for slug '${t}'. Either pass an intent-relative path or an absolute path inside ${a}/.`);let u=await n6(o);if(!u.stamped){let l={not_in_intent_dir:`Path is not inside an intent directory (resolved: ${o}). Only writes inside .haiku/intents/<slug>/ get tracked.`,not_in_tracked_surface:`Path is inside the intent dir but not in the drift-tracked surface (resolved: ${o}). Tracked locations are stages/<X>/{artifacts,outputs,knowledge,discovery}/... and intent-root knowledge/...`,file_missing:`File does not exist on disk (resolved: ${o}). Did the write succeed?`,read_failed:`Could not read file to compute SHA (resolved: ${o}).`};return{content:[{type:"text",text:JSON.stringify({ok:!0,stamped:!1,reason:u.reason,message:l[u.reason??""]??"Stamp skipped for unknown reason."},null,2)}]}}return{content:[{type:"text",text:JSON.stringify({ok:!0,stamped:!0,path:u.pathRel,sha:u.sha,tick_counter:u.tickCounter,tick_scope:u.tickScope,next_step:"The next `haiku_run_next` tick will see the agent_write entry and silently update the baseline \u2014 no manual_change_assessment finding for this path."},null,2)}]}}}});var Z0t,Y0t,J0t=v(()=>{"use strict";pv();ji();uo();To();Gi();vs();Z0t="Your work here is done \u2014 terminate with your one-line findings summary. Do NOT call haiku_run_next; your parent ticks the workflow when the whole review wave closes.",Y0t={name:"haiku_review_stamp",description:"Review/approval subagent CLOSURE. Records your own `reviews.<role>` / `approvals.<role>` witness and returns a terminal ack \u2014 call this INSTEAD of `haiku_run_next` when you finish reviewing. `kind: review|approval` both require `stage`. Returns `{ ok: true, stamped: [...], skipped: [...] }` (skipped = units you flagged with an open finding; they stay un-stamped so the cursor reroutes through them on close), or `{ ok: true, found: false }` when nothing was pending for your role (already stamped \u2014 clean no-op). Never walks the cursor and never returns a fix dispatch, so it can't trip the inter-tick loop guard. NOTE: intent-completion review agents (`intent_review` actions) do NOT call this tool \u2014 they terminate directly; the parent drain handles their stamp.",inputSchema:f0,async handle(e){let t=Be(e,Ege,"haiku_review_stamp");if(t)return t;let{intent:n,kind:r,role:i,stage:s}=e,o=Rye(n,r,s,i);return Ke("haiku.review.stamped",{intent:n,kind:r,role:i,stage:s,found:String(o.found),stamped_count:String(o.stamped.length),skipped_count:String(o.skipped.length)}),ye(JSON.stringify({ok:!0,intent:n,kind:r,role:i,stage:s,found:o.found,stamped:o.stamped,skipped:o.skipped,message:o.found?`Recorded ${r} witness for '${i}' on stage '${s}': ${o.stamped.length} unit(s) stamped${o.skipped.length>0?`, ${o.skipped.length} skipped (you filed open findings against them \u2014 they re-review after close)`:""}. ${Z0t}`:`No pending ${r} dispatch for '${i}' on stage '${s}' (already stamped). ${Z0t}`}))}}});import{appendFileSync as Ttr}from"node:fs";function r6(e){return Date.now()-e>X0t}function i6(e,t,n,r){let i=Date.now()-n;return nm(`${e} (wall-deadline ${X0t}ms exceeded; elapsed=${i}ms)`,t,r,"no_progress")}function vx(e){let t=e;return JSON.stringify({action:t.action??null,stage:t.stage??null,unit:t.unit??null,feedback_id:t.feedback_id??null,role:t.role??null})}function vtr(e){let t=`[${new Date().toISOString()}] ${e}
-`;try{let n=Eft("loop-guards.log");return Ttr(n,t),n}catch{return null}}function nm(e,t,n,r){let i=n,s=`loop=${e} reason=${r} iterations=${t} action=${String(i.action??"?")}`+(i.stage?` stage=${String(i.stage)}`:"")+(i.unit?` unit=${String(i.unit)}`:"")+(i.feedback_id?` fb=${String(i.feedback_id)}`:"");console.error(`[haiku_run_next] loop guard fired: ${s}`);let o=vtr(`loop guard fired: ${s}`),a=o?`
+The engine couldn't open a draft PR: ${b.message}`),wt(`haiku: stamp draft PR status for ${r}`);try{let S=yg(f);!S.ok&&S.error&&console.error(`[haiku_intent_create] push of ${f} after draft-PR stamp failed: ${S.error}`)}catch(S){console.error(`[haiku_intent_create] push after stamp threw: ${S instanceof Error?S.message:String(S)}`)}}catch(y){console.error(`[haiku_intent_create] draft-PR open threw: ${y instanceof Error?y.message:String(y)}`)}return Ke("haiku.intent.created",{intent:r}),u&&qi(u,{event:"intent_created",intent:r}),ye(JSON.stringify({action:"intent_created",slug:r,path:`.haiku/intents/${r}`,message:`Intent '${r}' created. Call haiku_run_next { intent: "${r}" } to begin.${g}`},null,2))}}});import{execFileSync as U_e}from"node:child_process";import{existsSync as J0t,readFileSync as X0t,rmSync as Gtr}from"node:fs";import{join as F_e}from"node:path";var Q0t,$0t=v(()=>{"use strict";yr();Kd();Xb();Ge();zi();vs();Q0t={name:"haiku_intent_reset",description:"Reset an intent \u2014 destructively delete all stage branches, the intent main branch, and the intent directory, then return instructions to recreate the intent with the same title/description/context. Requires user confirmation via the SPA picker.",inputSchema:{type:"object",properties:{intent:{type:"string",description:"Intent slug to reset"}},required:["intent"]},async handle(e,t){let n=e.intent,r=Te(),i=F_e(r,"intents",n),s=F_e(i,"intent.md");if(!J0t(s))return{content:[{type:"text",text:`Intent '${n}' not found.`}],isError:!0};let o=X0t(s,"utf8"),{data:a,body:c}=re(o),u=a.title||"",l=c.replace(/^#\s+.*\n+/,"").trim()||u,d=await Ju({intentSlug:n,kind:"confirm",title:`Reset intent "${n}"?`,prompt:`This will DELETE all state (stages, units, knowledge) and recreate the intent with the same description: "${l}". This cannot be undone.`,options:[{id:"reset",label:"Yes, reset",description:"Wipe state and recreate the intent"},{id:"cancel",label:"Cancel",description:"Keep the intent as-is"}],signal:t});if(d.timedOut||!d.selection||d.selection.id!=="reset")return ye(JSON.stringify({action:"cancelled",message:"Reset cancelled."}));let f="",p=F_e(i,"knowledge","CONVERSATION-CONTEXT.md");J0t(p)&&(f=X0t(p,"utf8").replace(/^# Conversation Context\n\n/,""));let m=re(o).data.studio||"";if(ve()){try{let y=Zo(),b="";try{b=U_e("git",["rev-parse","--abbrev-ref","HEAD"],{encoding:"utf8",stdio:"pipe"}).trim()}catch{}if(y&&b!==y)try{U_e("git",["checkout",y],{encoding:"utf8",stdio:"pipe"})}catch(S){try{U_e("git",["checkout",`${y}^0`],{encoding:"utf8",stdio:"pipe"})}catch(E){let _=S instanceof Error?S.message:String(S),T=E instanceof Error?E.message:String(E);throw new Error(`could not move HEAD off the haiku branches: \`git checkout ${y}\` failed (${_.split(`
+`)[0]}) AND detached fallback \`git checkout ${y}^0\` also failed (${T.split(`
+`)[0]}). Commit / stash / clean any uncommitted changes here and retry.`)}}}catch(y){let b=y instanceof Error?y.message:String(y);return{content:[{type:"text",text:`Error: failed to move HEAD off the haiku branches before resetting intent '${n}'. ${b}`}],isError:!0}}if(KD(n),m){let y=Fs(m);for(let b of y){let S=`haiku/${n}/${b}`;Pt(S)&&Sb(n,b)}}let g=`haiku/${n}/main`;Pt(g)&&YD(g)}return Gtr(i,{recursive:!0,force:!0}),wt(`haiku: reset intent ${n} (deleted)`),ye(JSON.stringify({action:"intent_reset",slug:n,title:u,description:l,context:f,message:`Intent '${n}' has been reset. Call haiku_intent_create { title: "${u.replace(/"/g,'\\"')}", description: "${l.replace(/"/g,'\\"').replace(/\n/g,"\\n")}", slug: "${n}"${f?', context: "<preserved context>"':""}, studio_candidates: ["<name>", \u2026] } to recreate it. \`studio_candidates\` is required \u2014 the 2\u20134 studios that best fit, from \`haiku_studio_list\`; if you omit it the recreate call is rejected with instructions to fetch the list and retry.`},null,2))}}});import{existsSync as Vtr,readFileSync as Wtr,writeFileSync as Ktr}from"node:fs";import{join as Ytr}from"node:path";var j_e,ext,txt=v(()=>{"use strict";j_e=Re(Kt(),1);yr();Rx();ji();uo();Ge();zi();vs();ext={name:"haiku_intent_seal",description:"Stamp `verified_at` on intent.md frontmatter after the pre-intent substance verifier passes. Verifier subagent calls this on a pass; the agent must NOT call it directly. Stamps the verification timestamp and optional notes, freeing the cursor to advance past the pre-intent `elaborate_review` gate. Idempotent (no-op when already verified).",inputSchema:T0,handle(e){let t=Be(e,jge,"haiku_intent_seal");if(t)return t;let n=e.intent,r=e.nonce,i=e.notes??"",s=vx({kind:"intent_elaborate",slug:n},r);if(!s.ok)return{content:[{type:"text",text:JSON.stringify({error:"verifier_nonce_invalid",tool:"haiku_intent_seal",reason:s.reason,message:s.reason==="missing"?`No pending intent-elaboration verifier nonce for '${n}'. The cursor only mints a nonce when emitting the pre-intent elaborate_review action \u2014 call haiku_run_next first, dispatch the verifier subagent with the nonce on the action payload, then have the subagent call this tool with that nonce.`:`Intent-elaboration verifier nonce for '${n}' does not match the cursor's pending value.`},null,2)}],isError:!0};let o=Te(),a=Ytr(o,"intents",n,"intent.md");if(!Vtr(a))return{content:[{type:"text",text:JSON.stringify({error:"intent_not_found",tool:"haiku_intent_seal",message:`Intent '${n}' not found at ${a}.`},null,2)}],isError:!0};let c=gr(n,void 0);if(!c.ok)return{content:[{type:"text",text:`Error: branch enforcement failed for intent seal '${n}' \u2014 ${c.message}. Resolve manually and retry.`}],isError:!0};let u=Wtr(a,"utf8"),l=(0,j_e.default)(u),d=l.data;if(typeof d.verified_at=="string"&&d.verified_at)return ye(JSON.stringify({action:"noop",slug:n,path:a,verified_at:d.verified_at,message:`Intent '${n}' is already verified.`},null,2));let f=new Date().toISOString(),p={...d,verified_at:f};return i.trim()&&(p.verified_notes=i.trim()),Ktr(a,j_e.default.stringify(l.content,p)),wt(`haiku: seal pre-intent elaboration for ${n}`),ye(JSON.stringify({action:"intent_sealed",slug:n,path:a,verified_at:f,...i.trim()?{verified_notes:i.trim()}:{},message:`Sealed pre-intent elaboration for '${n}'. The cursor will walk into the first stage's elaborate gate on the next tick.`},null,2))}}});import{existsSync as Ztr,readFileSync as Jtr,writeFileSync as Xtr}from"node:fs";import{join as Qtr}from"node:path";var H_e,nxt,rxt=v(()=>{"use strict";H_e=Re(Kt(),1);yr();Ge();zi();vs();nxt={name:"haiku_intent_unarchive",description:"Unarchive an intent \u2014 clears the `archived` frontmatter flag so the intent reappears in default list views. Reversible via haiku_intent_archive. Does not prompt for confirmation.",inputSchema:{type:"object",properties:{intent:{type:"string",description:"Intent slug to unarchive"}},required:["intent"]},handle(e){let t=e.intent,n=Te(),r=Qtr(n,"intents",t,"intent.md");if(!Ztr(r))return{content:[{type:"text",text:`Intent '${t}' not found.`}],isError:!0};let i=Jtr(r,"utf8"),s=(0,H_e.default)(i);if(s.data.archived!==!0)return ye(JSON.stringify({action:"noop",slug:t,path:r,message:`Intent '${t}' is not archived.`},null,2));let o=gr(t,void 0);if(!o.ok)return{content:[{type:"text",text:`Error: branch enforcement failed for intent unarchive '${t}' \u2014 ${o.message}. Resolve manually and retry.`}],isError:!0};let{archived:a,...c}=s.data;return Xtr(r,H_e.default.stringify(s.content,c)),wt(`haiku: unarchive intent ${t}`),ye(JSON.stringify({action:"intent_unarchived",slug:t,path:r,message:`Intent '${t}' has been unarchived.`},null,2))}}});import{createHash as $tr}from"node:crypto";import{existsSync as ixt,readFileSync as sxt}from"node:fs";function enr(e){let t=e.match(/^(.*\/\.haiku\/intents\/[^/]+)\/(.+)$/);if(!t)return null;let n=t[2],r=n.match(/^stages\/([^/]+)\//);return{intentDir:t[1],pathRel:n,stageOwner:r?r[1]:null}}function tnr(e){return!!(/^stages\/[^/]+\/(?:artifacts|outputs|knowledge|discovery)\//.test(e)||/^knowledge\//.test(e))}function nnr(e){let t=fEe(e);if(!ixt(t))return 1;try{return sxt(t,"utf8").split(`
+`).filter(n=>n.trim()!=="").length+1}catch{return 1}}async function y5(e){let t=enr(e);if(!t)return{stamped:!1,reason:"not_in_intent_dir"};if(!tnr(t.pathRel))return{stamped:!1,reason:"not_in_tracked_surface"};if(!ixt(e))return{stamped:!1,reason:"file_missing"};let n;try{n=$tr("sha256").update(sxt(e)).digest("hex")}catch{return{stamped:!1,reason:"read_failed"}}let r=t.stageOwner?Lb(t.intentDir,t.stageOwner):Lb(t.intentDir),i=nnr(t.intentDir),s=String(i).padStart(2,"0"),o=`AGW-${r}-${s}`,a=new Date().toISOString().replace(/\.\d{3}Z$/,"Z"),c=t.stageOwner?"stage":"intent",u=rv(t.pathRel);return await Mv(t.intentDir,r,{entry_type:"agent_write",path:u,sha:n,author_class:"agent",timestamp:a,claimed_author_id:null,human_author_id:null,entry_id:o,tick_counter:r,tick_scope:c}),{stamped:!0,pathRel:u,sha:n,tickCounter:r,tickScope:c}}var q_e=v(()=>{"use strict";_6();k0()});import{realpathSync as oxt}from"node:fs";import{isAbsolute as rnr,join as axt}from"node:path";function B_e(e,t){return{content:[{type:"text",text:JSON.stringify({ok:!1,code:e,message:t},null,2)}],isError:!0}}var cxt,uxt=v(()=>{"use strict";q_e();Ge();zi();cxt={name:"haiku_record_agent_write",description:"Record an agent_write entry in the intent's action log for a tracked-surface file the agent just wrote via the harness's Write/Edit tool. Use only on harnesses that don't fire PostToolUse hooks (i.e., NOT Claude Code \u2014 on CC, the `stamp-agent-write` hook does this automatically). The next drift-gate tick will silently absorb the change into the baseline so the agent isn't asked to classify its own deliberate writes. Tracked-surface paths: `stages/<X>/{artifacts,outputs,knowledge,discovery}/...` and intent-root `knowledge/...`. Workflow-managed paths (`units/`, `feedback/`, `state.json`, `intent.md`) and paths outside the intent dir don't need (and won't get) a stamp.",inputSchema:{type:"object",properties:{intent_slug:{type:"string",description:"Slug of the intent that owns the file you just wrote."},path:{type:"string",description:"Path of the file you just wrote. Either intent-relative (e.g. `stages/design/artifacts/spec.md`) or absolute. 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-`))}finally{this.cancelControllers.delete(t.request_id)}}handleControlCancelRequest(t){let n=this.cancelControllers.get(t.request_id);n&&(n.abort(),this.cancelControllers.delete(t.request_id))}async processControlRequest(t,n){if(t.request.subtype==="can_use_tool"){if(!this.canUseTool)throw new Error("canUseTool callback is not provided.");return{...await this.canUseTool(t.request.tool_name,t.request.input,{signal:n,suggestions:t.request.permission_suggestions,blockedPath:t.request.blocked_path,decisionReason:t.request.decision_reason,toolUseID:t.request.tool_use_id,agentID:t.request.agent_id}),toolUseID:t.request.tool_use_id}}else{if(t.request.subtype==="hook_callback")return await this.handleHookCallbacks(t.request.callback_id,t.request.input,t.request.tool_use_id,n);if(t.request.subtype==="mcp_message"){let r=t.request,i=this.sdkMcpTransports.get(r.server_name);if(!i)throw new Error(`SDK MCP server not found: ${r.server_name}`);return"method"in r.message&&"id"in r.message&&r.message.id!==null?{mcp_response:await this.handleMcpControlRequest(r.server_name,r,i)}:(i.onmessage&&i.onmessage(r.message),{mcp_response:{jsonrpc:"2.0",result:{},id:0}})}}throw new Error("Unsupported control request subtype: "+t.request.subtype)}async*readSdkMessages(){for await(let t of this.inputStream)yield t}async initialize(){let t;if(this.hooks){t={};for(let[s,o]of Object.entries(this.hooks))o.length>0&&(t[s]=o.map(a=>{let c=[];for(let u of a.hooks){let l=`hook_${this.nextCallbackId++}`;this.hookCallbacks.set(l,u),c.push(l)}return{matcher:a.matcher,hookCallbackIds:c,timeout:a.timeout}}))}let n=this.sdkMcpTransports.size>0?Array.from(this.sdkMcpTransports.keys()):void 0,r={subtype:"initialize",hooks:t,sdkMcpServers:n,jsonSchema:this.jsonSchema,systemPrompt:this.initConfig?.systemPrompt,appendSystemPrompt:this.initConfig?.appendSystemPrompt,agents:this.initConfig?.agents};return(await this.request(r)).response}async interrupt(){await this.request({subtype:"interrupt"})}async setPermissionMode(t){await this.request({subtype:"set_permission_mode",mode:t})}async setModel(t){await this.request({subtype:"set_model",model:t})}async setMaxThinkingTokens(t){await this.request({subtype:"set_max_thinking_tokens",max_thinking_tokens:t})}async rewindFiles(t,n){return(await this.request({subtype:"rewind_files",user_message_id:t,dry_run:n?.dryRun})).response}async processPendingPermissionRequests(t){for(let n of t)n.request.subtype==="can_use_tool"&&this.handleControlRequest(n).catch(()=>{})}request(t){let n=Math.random().toString(36).substring(2,15),r={request_id:n,type:"control_request",request:t};return new Promise((i,s)=>{this.pendingControlResponses.set(n,o=>{o.subtype==="success"?i(o):(s(new Error(o.error)),o.pending_permission_requests&&this.processPendingPermissionRequests(o.pending_permission_requests))}),Promise.resolve(this.transport.write(rm(r)+`
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this._refinement(t)}constructor(t){this.spa=this.safeParseAsync,this._def=t,this.parse=this.parse.bind(this),this.safeParse=this.safeParse.bind(this),this.parseAsync=this.parseAsync.bind(this),this.safeParseAsync=this.safeParseAsync.bind(this),this.spa=this.spa.bind(this),this.refine=this.refine.bind(this),this.refinement=this.refinement.bind(this),this.superRefine=this.superRefine.bind(this),this.optional=this.optional.bind(this),this.nullable=this.nullable.bind(this),this.nullish=this.nullish.bind(this),this.array=this.array.bind(this),this.promise=this.promise.bind(this),this.or=this.or.bind(this),this.and=this.and.bind(this),this.transform=this.transform.bind(this),this.brand=this.brand.bind(this),this.default=this.default.bind(this),this.catch=this.catch.bind(this),this.describe=this.describe.bind(this),this.pipe=this.pipe.bind(this),this.readonly=this.readonly.bind(this),this.isNullable=this.isNullable.bind(this),this.isOptional=this.isOptional.bind(this),this["~standard"]={version:1,vendor:"zod",validate:n=>this["~validate"](n)}}optional(){return 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RegExp(`^${mOt}$`);Ix=class e extends Tn{_parse(t){if(this._def.coerce&&(t.data=String(t.data)),this._getType(t)!==nt.string){let s=this._getOrReturnCtx(t);return Ze(s,{code:xe.invalid_type,expected:nt.string,received:s.parsedType}),Vt}let r=new nu,i;for(let s of this._def.checks)if(s.kind==="min")t.data.length<s.value&&(i=this._getOrReturnCtx(t,i),Ze(i,{code:xe.too_small,minimum:s.value,type:"string",inclusive:!0,exact:!1,message:s.message}),r.dirty());else if(s.kind==="max")t.data.length>s.value&&(i=this._getOrReturnCtx(t,i),Ze(i,{code:xe.too_big,maximum:s.value,type:"string",inclusive:!0,exact:!1,message:s.message}),r.dirty());else if(s.kind==="length"){let o=t.data.length>s.value,a=t.data.length<s.value;(o||a)&&(i=this._getOrReturnCtx(t,i),o?Ze(i,{code:xe.too_big,maximum:s.value,type:"string",inclusive:!0,exact:!0,message:s.message}):a&&Ze(i,{code:xe.too_small,minimum:s.value,type:"string",inclusive:!0,exact:!0,message:s.message}),r.dirty())}else if(s.kind==="email")gsr.test(t.data)||(i=this._getOrReturnCtx(t,i),Ze(i,{validation:"email",code:xe.invalid_string,message:s.message}),r.dirty());else if(s.kind==="emoji")M_e||(M_e=new RegExp(ysr,"u")),M_e.test(t.data)||(i=this._getOrReturnCtx(t,i),Ze(i,{validation:"emoji",code:xe.invalid_string,message:s.message}),r.dirty());else if(s.kind==="uuid")fsr.test(t.data)||(i=this._getOrReturnCtx(t,i),Ze(i,{validation:"uuid",code:xe.invalid_string,message:s.message}),r.dirty());else if(s.kind==="nanoid")psr.test(t.data)||(i=this._getOrReturnCtx(t,i),Ze(i,{validation:"nanoid",code:xe.invalid_string,message:s.message}),r.dirty());else if(s.kind==="cuid")usr.test(t.data)||(i=this._getOrReturnCtx(t,i),Ze(i,{validation:"cuid",code:xe.invalid_string,message:s.message}),r.dirty());else if(s.kind==="cuid2")lsr.test(t.data)||(i=this._getOrReturnCtx(t,i),Ze(i,{validation:"cuid2",code:xe.invalid_string,message:s.message}),r.dirty());else if(s.kind==="ulid")dsr.test(t.data)||(i=this._getOrReturnCtx(t,i),Ze(i,{validation:"ulid",code:xe.invalid_string,message:s.message}),r.dirty());else if(s.kind==="url")try{new URL(t.data)}catch{i=this._getOrReturnCtx(t,i),Ze(i,{validation:"url",code:xe.invalid_string,message:s.message}),r.dirty()}else s.kind==="regex"?(s.regex.lastIndex=0,s.regex.test(t.data)||(i=this._getOrReturnCtx(t,i),Ze(i,{validation:"regex",code:xe.invalid_string,message:s.message}),r.dirty())):s.kind==="trim"?t.data=t.data.trim():s.kind==="includes"?t.data.includes(s.value,s.position)||(i=this._getOrReturnCtx(t,i),Ze(i,{code:xe.invalid_string,validation:{includes:s.value,position:s.position},message:s.message}),r.dirty()):s.kind==="toLowerCase"?t.data=t.data.toLowerCase():s.kind==="toUpperCase"?t.data=t.data.toUpperCase():s.kind==="startsWith"?t.data.startsWith(s.value)||(i=this._getOrReturnCtx(t,i),Ze(i,{code:xe.invalid_string,validation:{startsWith:s.value},message:s.message}),r.dirty()):s.kind==="endsWith"?t.data.endsWith(s.value)||(i=this._getOrReturnCtx(t,i),Ze(i,{code:xe.invalid_string,validation:{endsWith:s.value},message:s.message}),r.dirty()):s.kind==="datetime"?wsr(s).test(t.data)||(i=this._getOrReturnCtx(t,i),Ze(i,{code:xe.invalid_string,validation:"datetime",message:s.message}),r.dirty()):s.kind==="date"?Asr.test(t.data)||(i=this._getOrReturnCtx(t,i),Ze(i,{code:xe.invalid_string,validation:"date",message:s.message}),r.dirty()):s.kind==="time"?Rsr(s).test(t.data)||(i=this._getOrReturnCtx(t,i),Ze(i,{code:xe.invalid_string,validation:"time",message:s.message}),r.dirty()):s.kind==="duration"?msr.test(t.data)||(i=this._getOrReturnCtx(t,i),Ze(i,{validation:"duration",code:xe.invalid_string,message:s.message}),r.dirty()):s.kind==="ip"?ksr(t.data,s.version)||(i=this._getOrReturnCtx(t,i),Ze(i,{validation:"ip",code:xe.invalid_string,message:s.message}),r.dirty()):s.kind==="jwt"?Isr(t.data,s.alg)||(i=this._getOrReturnCtx(t,i),Ze(i,{validation:"jwt",code:xe.invalid_string,message:s.message}),r.dirty()):s.kind==="cidr"?xsr(t.data,s.version)||(i=this._getOrReturnCtx(t,i),Ze(i,{validation:"cidr",code:xe.invalid_string,message:s.message}),r.dirty()):s.kind==="base64"?Tsr.test(t.data)||(i=this._getOrReturnCtx(t,i),Ze(i,{validation:"base64",code:xe.invalid_string,message:s.message}),r.dirty()):s.kind==="base64url"?vsr.test(t.data)||(i=this._getOrReturnCtx(t,i),Ze(i,{validation:"base64url",code:xe.invalid_string,message:s.message}),r.dirty()):ir.assertNever(s);return{status:r.value,value:t.data}}_regex(t,n,r){return this.refinement(i=>t.test(i),{validation:n,code:xe.invalid_string,...lt.errToObj(r)})}_addCheck(t){return new e({...this._def,checks:[...this._def.checks,t]})}email(t){return this._addCheck({kind:"email",...lt.errToObj(t)})}url(t){return this._addCheck({kind:"url",...lt.errToObj(t)})}emoji(t){return this._addCheck({kind:"emoji",...lt.errToObj(t)})}uuid(t){return this._addCheck({kind:"uuid",...lt.errToObj(t)})}nanoid(t){return this._addCheck({kind:"nanoid",...lt.errToObj(t)})}cuid(t){return this._addCheck({kind:"cuid",...lt.errToObj(t)})}cuid2(t){return this._addCheck({kind:"cuid2",...lt.errToObj(t)})}ulid(t){return this._addCheck({kind:"ulid",...lt.errToObj(t)})}base64(t){return this._addCheck({kind:"base64",...lt.errToObj(t)})}base64url(t){return this._addCheck({kind:"base64url",...lt.errToObj(t)})}jwt(t){return this._addCheck({kind:"jwt",...lt.errToObj(t)})}ip(t){return this._addCheck({kind:"ip",...lt.errToObj(t)})}cidr(t){return this._addCheck({kind:"cidr",...lt.errToObj(t)})}datetime(t){return typeof t=="string"?this._addCheck({kind:"datetime",precision:null,offset:!1,local:!1,message:t}):this._addCheck({kind:"datetime",precision:typeof t?.precision>"u"?null:t?.precision,offset:t?.offset??!1,local:t?.local??!1,...lt.errToObj(t?.message)})}date(t){return this._addCheck({kind:"date",message:t})}time(t){return typeof t=="string"?this._addCheck({kind:"time",precision:null,message:t}):this._addCheck({kind:"time",precision:typeof t?.precision>"u"?null:t?.precision,...lt.errToObj(t?.message)})}duration(t){return this._addCheck({kind:"duration",...lt.errToObj(t)})}regex(t,n){return this._addCheck({kind:"regex",regex:t,...lt.errToObj(n)})}includes(t,n){return this._addCheck({kind:"includes",value:t,position:n?.position,...lt.errToObj(n?.message)})}startsWith(t,n){return this._addCheck({kind:"startsWith",value:t,...lt.errToObj(n)})}endsWith(t,n){return this._addCheck({kind:"endsWith",value:t,...lt.errToObj(n)})}min(t,n){return this._addCheck({kind:"min",value:t,...lt.errToObj(n)})}max(t,n){return this._addCheck({kind:"max",value:t,...lt.errToObj(n)})}length(t,n){return this._addCheck({kind:"length",value:t,...lt.errToObj(n)})}nonempty(t){return this.min(1,lt.errToObj(t))}trim(){return new e({...this._def,checks:[...this._def.checks,{kind:"trim"}]})}toLowerCase(){return new e({...this._def,checks:[...this._def.checks,{kind:"toLowerCase"}]})}toUpperCase(){return new e({...this._def,checks:[...this._def.checks,{kind:"toUpperCase"}]})}get isDatetime(){return!!this._def.checks.find(t=>t.kind==="datetime")}get isDate(){return!!this._def.checks.find(t=>t.kind==="date")}get isTime(){return!!this._def.checks.find(t=>t.kind==="time")}get isDuration(){return!!this._def.checks.find(t=>t.kind==="duration")}get isEmail(){return!!this._def.checks.find(t=>t.kind==="email")}get isURL(){return!!this._def.checks.find(t=>t.kind==="url")}get isEmoji(){return!!this._def.checks.find(t=>t.kind==="emoji")}get isUUID(){return!!this._def.checks.find(t=>t.kind==="uuid")}get isNANOID(){return!!this._def.checks.find(t=>t.kind==="nanoid")}get isCUID(){return!!this._def.checks.find(t=>t.kind==="cuid")}get isCUID2(){return!!this._def.checks.find(t=>t.kind==="cuid2")}get isULID(){return!!this._def.checks.find(t=>t.kind==="ulid")}get isIP(){return!!this._def.checks.find(t=>t.kind==="ip")}get isCIDR(){return!!this._def.checks.find(t=>t.kind==="cidr")}get isBase64(){return!!this._def.checks.find(t=>t.kind==="base64")}get isBase64url(){return!!this._def.checks.find(t=>t.kind==="base64url")}get minLength(){let t=null;for(let n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t}get maxLength(){let t=null;for(let n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t}};Ix.create=e=>new Ix({checks:[],typeName:Le.ZodString,coerce:e?.coerce??!1,...ln(e)});yU=class e extends Tn{constructor(){super(...arguments),this.min=this.gte,this.max=this.lte,this.step=this.multipleOf}_parse(t){if(this._def.coerce&&(t.data=Number(t.data)),this._getType(t)!==nt.number){let s=this._getOrReturnCtx(t);return Ze(s,{code:xe.invalid_type,expected:nt.number,received:s.parsedType}),Vt}let r,i=new nu;for(let s of this._def.checks)s.kind==="int"?ir.isInteger(t.data)||(r=this._getOrReturnCtx(t,r),Ze(r,{code:xe.invalid_type,expected:"integer",received:"float",message:s.message}),i.dirty()):s.kind==="min"?(s.inclusive?t.data<s.value:t.data<=s.value)&&(r=this._getOrReturnCtx(t,r),Ze(r,{code:xe.too_small,minimum:s.value,type:"number",inclusive:s.inclusive,exact:!1,message:s.message}),i.dirty()):s.kind==="max"?(s.inclusive?t.data>s.value:t.data>=s.value)&&(r=this._getOrReturnCtx(t,r),Ze(r,{code:xe.too_big,maximum:s.value,type:"number",inclusive:s.inclusive,exact:!1,message:s.message}),i.dirty()):s.kind==="multipleOf"?Osr(t.data,s.value)!==0&&(r=this._getOrReturnCtx(t,r),Ze(r,{code:xe.not_multiple_of,multipleOf:s.value,message:s.message}),i.dirty()):s.kind==="finite"?Number.isFinite(t.data)||(r=this._getOrReturnCtx(t,r),Ze(r,{code:xe.not_finite,message:s.message}),i.dirty()):ir.assertNever(s);return{status:i.value,value:t.data}}gte(t,n){return this.setLimit("min",t,!0,lt.toString(n))}gt(t,n){return this.setLimit("min",t,!1,lt.toString(n))}lte(t,n){return this.setLimit("max",t,!0,lt.toString(n))}lt(t,n){return this.setLimit("max",t,!1,lt.toString(n))}setLimit(t,n,r,i){return new e({...this._def,checks:[...this._def.checks,{kind:t,value:n,inclusive:r,message:lt.toString(i)}]})}_addCheck(t){return new e({...this._def,checks:[...this._def.checks,t]})}int(t){return this._addCheck({kind:"int",message:lt.toString(t)})}positive(t){return this._addCheck({kind:"min",value:0,inclusive:!1,message:lt.toString(t)})}negative(t){return this._addCheck({kind:"max",value:0,inclusive:!1,message:lt.toString(t)})}nonpositive(t){return this._addCheck({kind:"max",value:0,inclusive:!0,message:lt.toString(t)})}nonnegative(t){return this._addCheck({kind:"min",value:0,inclusive:!0,message:lt.toString(t)})}multipleOf(t,n){return this._addCheck({kind:"multipleOf",value:t,message:lt.toString(n)})}finite(t){return this._addCheck({kind:"finite",message:lt.toString(t)})}safe(t){return this._addCheck({kind:"min",inclusive:!0,value:Number.MIN_SAFE_INTEGER,message:lt.toString(t)})._addCheck({kind:"max",inclusive:!0,value:Number.MAX_SAFE_INTEGER,message:lt.toString(t)})}get minValue(){let t=null;for(let n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t}get maxValue(){let t=null;for(let n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t}get isInt(){return!!this._def.checks.find(t=>t.kind==="int"||t.kind==="multipleOf"&&ir.isInteger(t.value))}get isFinite(){let t=null,n=null;for(let r of this._def.checks){if(r.kind==="finite"||r.kind==="int"||r.kind==="multipleOf")return!0;r.kind==="min"?(n===null||r.value>n)&&(n=r.value):r.kind==="max"&&(t===null||r.value<t)&&(t=r.value)}return Number.isFinite(n)&&Number.isFinite(t)}};yU.create=e=>new yU({checks:[],typeName:Le.ZodNumber,coerce:e?.coerce||!1,...ln(e)});SU=class e extends Tn{constructor(){super(...arguments),this.min=this.gte,this.max=this.lte}_parse(t){if(this._def.coerce)try{t.data=BigInt(t.data)}catch{return this._getInvalidInput(t)}if(this._getType(t)!==nt.bigint)return this._getInvalidInput(t);let r,i=new nu;for(let s of this._def.checks)s.kind==="min"?(s.inclusive?t.data<s.value:t.data<=s.value)&&(r=this._getOrReturnCtx(t,r),Ze(r,{code:xe.too_small,type:"bigint",minimum:s.value,inclusive:s.inclusive,message:s.message}),i.dirty()):s.kind==="max"?(s.inclusive?t.data>s.value:t.data>=s.value)&&(r=this._getOrReturnCtx(t,r),Ze(r,{code:xe.too_big,type:"bigint",maximum:s.value,inclusive:s.inclusive,message:s.message}),i.dirty()):s.kind==="multipleOf"?t.data%s.value!==BigInt(0)&&(r=this._getOrReturnCtx(t,r),Ze(r,{code:xe.not_multiple_of,multipleOf:s.value,message:s.message}),i.dirty()):ir.assertNever(s);return{status:i.value,value:t.data}}_getInvalidInput(t){let n=this._getOrReturnCtx(t);return Ze(n,{code:xe.invalid_type,expected:nt.bigint,received:n.parsedType}),Vt}gte(t,n){return this.setLimit("min",t,!0,lt.toString(n))}gt(t,n){return this.setLimit("min",t,!1,lt.toString(n))}lte(t,n){return this.setLimit("max",t,!0,lt.toString(n))}lt(t,n){return this.setLimit("max",t,!1,lt.toString(n))}setLimit(t,n,r,i){return new e({...this._def,checks:[...this._def.checks,{kind:t,value:n,inclusive:r,message:lt.toString(i)}]})}_addCheck(t){return new e({...this._def,checks:[...this._def.checks,t]})}positive(t){return this._addCheck({kind:"min",value:BigInt(0),inclusive:!1,message:lt.toString(t)})}negative(t){return this._addCheck({kind:"max",value:BigInt(0),inclusive:!1,message:lt.toString(t)})}nonpositive(t){return this._addCheck({kind:"max",value:BigInt(0),inclusive:!0,message:lt.toString(t)})}nonnegative(t){return this._addCheck({kind:"min",value:BigInt(0),inclusive:!0,message:lt.toString(t)})}multipleOf(t,n){return this._addCheck({kind:"multipleOf",value:t,message:lt.toString(n)})}get minValue(){let t=null;for(let n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t}get maxValue(){let t=null;for(let n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t}};SU.create=e=>new SU({checks:[],typeName:Le.ZodBigInt,coerce:e?.coerce??!1,...ln(e)});EU=class extends Tn{_parse(t){if(this._def.coerce&&(t.data=!!t.data),this._getType(t)!==nt.boolean){let r=this._getOrReturnCtx(t);return Ze(r,{code:xe.invalid_type,expected:nt.boolean,received:r.parsedType}),Vt}return Ku(t.data)}};EU.create=e=>new EU({typeName:Le.ZodBoolean,coerce:e?.coerce||!1,...ln(e)});bU=class e extends Tn{_parse(t){if(this._def.coerce&&(t.data=new Date(t.data)),this._getType(t)!==nt.date){let s=this._getOrReturnCtx(t);return Ze(s,{code:xe.invalid_type,expected:nt.date,received:s.parsedType}),Vt}if(Number.isNaN(t.data.getTime())){let s=this._getOrReturnCtx(t);return Ze(s,{code:xe.invalid_date}),Vt}let r=new nu,i;for(let s of this._def.checks)s.kind==="min"?t.data.getTime()<s.value&&(i=this._getOrReturnCtx(t,i),Ze(i,{code:xe.too_small,message:s.message,inclusive:!0,exact:!1,minimum:s.value,type:"date"}),r.dirty()):s.kind==="max"?t.data.getTime()>s.value&&(i=this._getOrReturnCtx(t,i),Ze(i,{code:xe.too_big,message:s.message,inclusive:!0,exact:!1,maximum:s.value,type:"date"}),r.dirty()):ir.assertNever(s);return{status:r.value,value:new Date(t.data.getTime())}}_addCheck(t){return new e({...this._def,checks:[...this._def.checks,t]})}min(t,n){return this._addCheck({kind:"min",value:t.getTime(),message:lt.toString(n)})}max(t,n){return this._addCheck({kind:"max",value:t.getTime(),message:lt.toString(n)})}get minDate(){let t=null;for(let n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t!=null?new Date(t):null}get maxDate(){let t=null;for(let n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t!=null?new Date(t):null}};bU.create=e=>new bU({checks:[],coerce:e?.coerce||!1,typeName:Le.ZodDate,...ln(e)});_U=class extends Tn{_parse(t){if(this._getType(t)!==nt.symbol){let r=this._getOrReturnCtx(t);return Ze(r,{code:xe.invalid_type,expected:nt.symbol,received:r.parsedType}),Vt}return Ku(t.data)}};_U.create=e=>new _U({typeName:Le.ZodSymbol,...ln(e)});xx=class extends Tn{_parse(t){if(this._getType(t)!==nt.undefined){let r=this._getOrReturnCtx(t);return Ze(r,{code:xe.invalid_type,expected:nt.undefined,received:r.parsedType}),Vt}return Ku(t.data)}};xx.create=e=>new xx({typeName:Le.ZodUndefined,...ln(e)});Ox=class extends Tn{_parse(t){if(this._getType(t)!==nt.null){let r=this._getOrReturnCtx(t);return Ze(r,{code:xe.invalid_type,expected:nt.null,received:r.parsedType}),Vt}return Ku(t.data)}};Ox.create=e=>new Ox({typeName:Le.ZodNull,...ln(e)});TU=class extends Tn{constructor(){super(...arguments),this._any=!0}_parse(t){return Ku(t.data)}};TU.create=e=>new TU({typeName:Le.ZodAny,...ln(e)});eb=class extends Tn{constructor(){super(...arguments),this._unknown=!0}_parse(t){return Ku(t.data)}};eb.create=e=>new eb({typeName:Le.ZodUnknown,...ln(e)});sm=class extends Tn{_parse(t){let n=this._getOrReturnCtx(t);return Ze(n,{code:xe.invalid_type,expected:nt.never,received:n.parsedType}),Vt}};sm.create=e=>new sm({typeName:Le.ZodNever,...ln(e)});vU=class extends Tn{_parse(t){if(this._getType(t)!==nt.undefined){let r=this._getOrReturnCtx(t);return Ze(r,{code:xe.invalid_type,expected:nt.void,received:r.parsedType}),Vt}return Ku(t.data)}};vU.create=e=>new vU({typeName:Le.ZodVoid,...ln(e)});tb=class e extends Tn{_parse(t){let{ctx:n,status:r}=this._processInputParams(t),i=this._def;if(n.parsedType!==nt.array)return Ze(n,{code:xe.invalid_type,expected:nt.array,received:n.parsedType}),Vt;if(i.exactLength!==null){let o=n.data.length>i.exactLength.value,a=n.data.length<i.exactLength.value;(o||a)&&(Ze(n,{code:o?xe.too_big:xe.too_small,minimum:a?i.exactLength.value:void 0,maximum:o?i.exactLength.value:void 0,type:"array",inclusive:!0,exact:!0,message:i.exactLength.message}),r.dirty())}if(i.minLength!==null&&n.data.length<i.minLength.value&&(Ze(n,{code:xe.too_small,minimum:i.minLength.value,type:"array",inclusive:!0,exact:!1,message:i.minLength.message}),r.dirty()),i.maxLength!==null&&n.data.length>i.maxLength.value&&(Ze(n,{code:xe.too_big,maximum:i.maxLength.value,type:"array",inclusive:!0,exact:!1,message:i.maxLength.message}),r.dirty()),n.common.async)return Promise.all([...n.data].map((o,a)=>i.type._parseAsync(new Kd(n,o,n.path,a)))).then(o=>nu.mergeArray(r,o));let s=[...n.data].map((o,a)=>i.type._parseSync(new Kd(n,o,n.path,a)));return nu.mergeArray(r,s)}get element(){return this._def.type}min(t,n){return new e({...this._def,minLength:{value:t,message:lt.toString(n)}})}max(t,n){return new e({...this._def,maxLength:{value:t,message:lt.toString(n)}})}length(t,n){return new e({...this._def,exactLength:{value:t,message:lt.toString(n)}})}nonempty(t){return this.min(1,t)}};tb.create=(e,t)=>new tb({type:e,minLength:null,maxLength:null,exactLength:null,typeName:Le.ZodArray,...ln(t)});Dl=class e extends Tn{constructor(){super(...arguments),this._cached=null,this.nonstrict=this.passthrough,this.augment=this.extend}_getCached(){if(this._cached!==null)return this._cached;let t=this._def.shape(),n=ir.objectKeys(t);return this._cached={shape:t,keys:n},this._cached}_parse(t){if(this._getType(t)!==nt.object){let u=this._getOrReturnCtx(t);return Ze(u,{code:xe.invalid_type,expected:nt.object,received:u.parsedType}),Vt}let{status:r,ctx:i}=this._processInputParams(t),{shape:s,keys:o}=this._getCached(),a=[];if(!(this._def.catchall instanceof sm&&this._def.unknownKeys==="strip"))for(let u in i.data)o.includes(u)||a.push(u);let c=[];for(let u of o){let l=s[u],d=i.data[u];c.push({key:{status:"valid",value:u},value:l._parse(new Kd(i,d,i.path,u)),alwaysSet:u in i.data})}if(this._def.catchall instanceof sm){let u=this._def.unknownKeys;if(u==="passthrough")for(let l of a)c.push({key:{status:"valid",value:l},value:{status:"valid",value:i.data[l]}});else if(u==="strict")a.length>0&&(Ze(i,{code:xe.unrecognized_keys,keys:a}),r.dirty());else if(u!=="strip")throw new Error("Internal ZodObject error: invalid unknownKeys value.")}else{let u=this._def.catchall;for(let l of a){let d=i.data[l];c.push({key:{status:"valid",value:l},value:u._parse(new Kd(i,d,i.path,l)),alwaysSet:l in i.data})}}return i.common.async?Promise.resolve().then(async()=>{let u=[];for(let l of c){let d=await l.key,f=await l.value;u.push({key:d,value:f,alwaysSet:l.alwaysSet})}return u}).then(u=>nu.mergeObjectSync(r,u)):nu.mergeObjectSync(r,c)}get shape(){return this._def.shape()}strict(t){return lt.errToObj,new e({...this._def,unknownKeys:"strict",...t!==void 0?{errorMap:(n,r)=>{let i=this._def.errorMap?.(n,r).message??r.defaultError;return n.code==="unrecognized_keys"?{message:lt.errToObj(t).message??i}:{message:i}}}:{}})}strip(){return new e({...this._def,unknownKeys:"strip"})}passthrough(){return new e({...this._def,unknownKeys:"passthrough"})}extend(t){return new e({...this._def,shape:()=>({...this._def.shape(),...t})})}merge(t){return new e({unknownKeys:t._def.unknownKeys,catchall:t._def.catchall,shape:()=>({...this._def.shape(),...t._def.shape()}),typeName:Le.ZodObject})}setKey(t,n){return this.augment({[t]:n})}catchall(t){return new e({...this._def,catchall:t})}pick(t){let n={};for(let r of ir.objectKeys(t))t[r]&&this.shape[r]&&(n[r]=this.shape[r]);return new e({...this._def,shape:()=>n})}omit(t){let n={};for(let r of ir.objectKeys(this.shape))t[r]||(n[r]=this.shape[r]);return new e({...this._def,shape:()=>n})}deepPartial(){return Ax(this)}partial(t){let n={};for(let r of ir.objectKeys(this.shape)){let i=this.shape[r];t&&!t[r]?n[r]=i:n[r]=i.optional()}return new e({...this._def,shape:()=>n})}required(t){let n={};for(let r of ir.objectKeys(this.shape))if(t&&!t[r])n[r]=this.shape[r];else{let s=this.shape[r];for(;s instanceof hp;)s=s._def.innerType;n[r]=s}return new e({...this._def,shape:()=>n})}keyof(){return yOt(ir.objectKeys(this.shape))}};Dl.create=(e,t)=>new Dl({shape:()=>e,unknownKeys:"strip",catchall:sm.create(),typeName:Le.ZodObject,...ln(t)});Dl.strictCreate=(e,t)=>new Dl({shape:()=>e,unknownKeys:"strict",catchall:sm.create(),typeName:Le.ZodObject,...ln(t)});Dl.lazycreate=(e,t)=>new Dl({shape:e,unknownKeys:"strip",catchall:sm.create(),typeName:Le.ZodObject,...ln(t)});Nx=class extends Tn{_parse(t){let{ctx:n}=this._processInputParams(t),r=this._def.options;function i(s){for(let a of s)if(a.result.status==="valid")return a.result;for(let a of s)if(a.result.status==="dirty")return n.common.issues.push(...a.ctx.common.issues),a.result;let o=s.map(a=>new Wd(a.ctx.common.issues));return Ze(n,{code:xe.invalid_union,unionErrors:o}),Vt}if(n.common.async)return Promise.all(r.map(async s=>{let o={...n,common:{...n.common,issues:[]},parent:null};return{result:await s._parseAsync({data:n.data,path:n.path,parent:o}),ctx:o}})).then(i);{let s,o=[];for(let c of r){let u={...n,common:{...n.common,issues:[]},parent:null},l=c._parseSync({data:n.data,path:n.path,parent:u});if(l.status==="valid")return l;l.status==="dirty"&&!s&&(s={result:l,ctx:u}),u.common.issues.length&&o.push(u.common.issues)}if(s)return n.common.issues.push(...s.ctx.common.issues),s.result;let a=o.map(c=>new Wd(c));return Ze(n,{code:xe.invalid_union,unionErrors:a}),Vt}}get options(){return this._def.options}};Nx.create=(e,t)=>new Nx({options:e,typeName:Le.ZodUnion,...ln(t)});Kg=e=>e instanceof Cx?Kg(e.schema):e instanceof mp?Kg(e.innerType()):e instanceof Mx?[e.value]:e instanceof Dx?e.options:e instanceof Lx?ir.objectValues(e.enum):e instanceof Ux?Kg(e._def.innerType):e instanceof xx?[void 0]:e instanceof Ox?[null]:e instanceof hp?[void 0,...Kg(e.unwrap())]:e instanceof Qg?[null,...Kg(e.unwrap())]:e instanceof E6||e instanceof jx?Kg(e.unwrap()):e instanceof Fx?Kg(e._def.innerType):[],W_e=class e extends Tn{_parse(t){let{ctx:n}=this._processInputParams(t);if(n.parsedType!==nt.object)return Ze(n,{code:xe.invalid_type,expected:nt.object,received:n.parsedType}),Vt;let r=this.discriminator,i=n.data[r],s=this.optionsMap.get(i);return s?n.common.async?s._parseAsync({data:n.data,path:n.path,parent:n}):s._parseSync({data:n.data,path:n.path,parent:n}):(Ze(n,{code:xe.invalid_union_discriminator,options:Array.from(this.optionsMap.keys()),path:[r]}),Vt)}get discriminator(){return this._def.discriminator}get options(){return this._def.options}get optionsMap(){return this._def.optionsMap}static create(t,n,r){let i=new Map;for(let s of n){let o=Kg(s.shape[t]);if(!o.length)throw new Error(`A discriminator value for key \`${t}\` could not be extracted from all schema options`);for(let a of o){if(i.has(a))throw new Error(`Discriminator property ${String(t)} has duplicate value ${String(a)}`);i.set(a,s)}}return new e({typeName:Le.ZodDiscriminatedUnion,discriminator:t,options:n,optionsMap:i,...ln(r)})}};Px=class extends Tn{_parse(t){let{status:n,ctx:r}=this._processInputParams(t),i=(s,o)=>{if(hxt(s)||hxt(o))return Vt;let a=K_e(s.value,o.value);return a.valid?((mxt(s)||mxt(o))&&n.dirty(),{status:n.value,value:a.data}):(Ze(r,{code:xe.invalid_intersection_types}),Vt)};return r.common.async?Promise.all([this._def.left._parseAsync({data:r.data,path:r.path,parent:r}),this._def.right._parseAsync({data:r.data,path:r.path,parent:r})]).then(([s,o])=>i(s,o)):i(this._def.left._parseSync({data:r.data,path:r.path,parent:r}),this._def.right._parseSync({data:r.data,path:r.path,parent:r}))}};Px.create=(e,t,n)=>new Px({left:e,right:t,typeName:Le.ZodIntersection,...ln(n)});Xg=class e extends Tn{_parse(t){let{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==nt.array)return Ze(r,{code:xe.invalid_type,expected:nt.array,received:r.parsedType}),Vt;if(r.data.length<this._def.items.length)return Ze(r,{code:xe.too_small,minimum:this._def.items.length,inclusive:!0,exact:!1,type:"array"}),Vt;!this._def.rest&&r.data.length>this._def.items.length&&(Ze(r,{code:xe.too_big,maximum:this._def.items.length,inclusive:!0,exact:!1,type:"array"}),n.dirty());let s=[...r.data].map((o,a)=>{let c=this._def.items[a]||this._def.rest;return c?c._parse(new Kd(r,o,r.path,a)):null}).filter(o=>!!o);return r.common.async?Promise.all(s).then(o=>nu.mergeArray(n,o)):nu.mergeArray(n,s)}get items(){return this._def.items}rest(t){return new e({...this._def,rest:t})}};Xg.create=(e,t)=>{if(!Array.isArray(e))throw new Error("You must pass an array of schemas to z.tuple([ ... ])");return new Xg({items:e,typeName:Le.ZodTuple,rest:null,...ln(t)})};Z_e=class e extends Tn{get keySchema(){return this._def.keyType}get valueSchema(){return this._def.valueType}_parse(t){let{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==nt.object)return Ze(r,{code:xe.invalid_type,expected:nt.object,received:r.parsedType}),Vt;let i=[],s=this._def.keyType,o=this._def.valueType;for(let a in r.data)i.push({key:s._parse(new Kd(r,a,r.path,a)),value:o._parse(new Kd(r,r.data[a],r.path,a)),alwaysSet:a in r.data});return r.common.async?nu.mergeObjectAsync(n,i):nu.mergeObjectSync(n,i)}get element(){return this._def.valueType}static create(t,n,r){return n instanceof Tn?new e({keyType:t,valueType:n,typeName:Le.ZodRecord,...ln(r)}):new e({keyType:Ix.create(),valueType:t,typeName:Le.ZodRecord,...ln(n)})}},AU=class extends Tn{get keySchema(){return this._def.keyType}get valueSchema(){return this._def.valueType}_parse(t){let{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==nt.map)return Ze(r,{code:xe.invalid_type,expected:nt.map,received:r.parsedType}),Vt;let i=this._def.keyType,s=this._def.valueType,o=[...r.data.entries()].map(([a,c],u)=>({key:i._parse(new Kd(r,a,r.path,[u,"key"])),value:s._parse(new Kd(r,c,r.path,[u,"value"]))}));if(r.common.async){let a=new Map;return Promise.resolve().then(async()=>{for(let c of o){let u=await c.key,l=await c.value;if(u.status==="aborted"||l.status==="aborted")return Vt;(u.status==="dirty"||l.status==="dirty")&&n.dirty(),a.set(u.value,l.value)}return{status:n.value,value:a}})}else{let a=new Map;for(let c of o){let u=c.key,l=c.value;if(u.status==="aborted"||l.status==="aborted")return Vt;(u.status==="dirty"||l.status==="dirty")&&n.dirty(),a.set(u.value,l.value)}return{status:n.value,value:a}}}};AU.create=(e,t,n)=>new AU({valueType:t,keyType:e,typeName:Le.ZodMap,...ln(n)});RU=class e extends Tn{_parse(t){let{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==nt.set)return Ze(r,{code:xe.invalid_type,expected:nt.set,received:r.parsedType}),Vt;let 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r=Buffer.alloc(t.length),i=Zt.readSync(n,r,0,t.length,0);return{buffer:r,bytesRead:i}}finally{n&&Zt.closeSync(n)}})},appendFileSync(e,t,n){return fo(`appendFileSync(${e}, ${t.length} chars)`,()=>{if(!Zt.existsSync(e)&&n?.mode!==void 0){let r=Zt.openSync(e,"a",n.mode);try{Zt.appendFileSync(r,t)}finally{Zt.closeSync(r)}}else Zt.appendFileSync(e,t)})},copyFileSync(e,t){return fo(`copyFileSync(${e} \u2192 ${t})`,()=>Zt.copyFileSync(e,t))},unlinkSync(e){return fo(`unlinkSync(${e})`,()=>Zt.unlinkSync(e))},renameSync(e,t){return fo(`renameSync(${e} \u2192 ${t})`,()=>Zt.renameSync(e,t))},linkSync(e,t){return fo(`linkSync(${e} \u2192 ${t})`,()=>Zt.linkSync(e,t))},symlinkSync(e,t){return fo(`symlinkSync(${e} \u2192 ${t})`,()=>Zt.symlinkSync(e,t))},readlinkSync(e){return fo(`readlinkSync(${e})`,()=>Zt.readlinkSync(e))},realpathSync(e){return fo(`realpathSync(${e})`,()=>Zt.realpathSync(e))},mkdirSync(e,t){return fo(`mkdirSync(${e})`,()=>{if(!Zt.existsSync(e)){let n={recursive:!0};t?.mode!==void 0&&(n.mode=t.mode),Zt.mkdirSync(e,n)}})},readdirSync(e){return fo(`readdirSync(${e})`,()=>Zt.readdirSync(e,{withFileTypes:!0}))},readdirStringSync(e){return fo(`readdirStringSync(${e})`,()=>Zt.readdirSync(e))},isDirEmptySync(e){return fo(`isDirEmptySync(${e})`,()=>this.readdirSync(e).length===0)},rmdirSync(e){return fo(`rmdirSync(${e})`,()=>Zt.rmdirSync(e))},rmSync(e,t){return fo(`rmSync(${e})`,()=>Zt.rmSync(e,t))},createWriteStream(e){return Zt.createWriteStream(e)}},Osr=xsr;Psr=["PreToolUse","PostToolUse","PostToolUseFailure","Notification","UserPromptSubmit","SessionStart","SessionEnd","Stop","SubagentStart","SubagentStop","PreCompact","PermissionRequest"],Nsr=["clear","logout","prompt_input_exit","other","bypass_permissions_disabled"],tE=class extends Error{};T5=null,kxt=!1;x5=class{options;process;processStdin;processStdout;ready=!1;abortController;exitError;exitListeners=[];processExitHandler;abortHandler;constructor(t){this.options=t,this.abortController=t.abortController||CTe(),this.initialize()}getDefaultExecutable(){return LTe()?"bun":"node"}spawnLocalProcess(t){let{command:n,args:r,cwd:i,env:s,signal:o}=t,a=s.DEBUG_CLAUDE_AGENT_SDK||this.options.stderr?"pipe":"ignore",c=Srr(n,r,{cwd:i,stdio:["pipe","pipe",a],signal:o,env:s,windowsHide:!0});return(s.DEBUG_CLAUDE_AGENT_SDK||this.options.stderr)&&c.stderr.on("data",l=>{let d=l.toString();Kv(d),this.options.stderr&&this.options.stderr(d)}),{stdin:c.stdin,stdout:c.stdout,get killed(){return c.killed},get exitCode(){return c.exitCode},kill:c.kill.bind(c),on:c.on.bind(c),once:c.once.bind(c),off:c.off.bind(c)}}initialize(){try{let{additionalDirectories:t=[],betas:n,cwd:r,executable:i=this.getDefaultExecutable(),executableArgs:s=[],extraArgs:o={},pathToClaudeCodeExecutable:a,env:c={...process.env},maxThinkingTokens:u,maxTurns:l,maxBudgetUsd:d,model:f,fallbackModel:p,jsonSchema:h,permissionMode:m,allowDangerouslySkipPermissions:g,permissionPromptToolName:y,continueConversation:b,resume:S,settingSources:E,allowedTools:_=[],disallowedTools:T=[],tools:R,mcpServers:A,strictMcpConfig:x,canUseTool:k,includePartialMessages:P,plugins:N,sandbox:C}=this.options,L=["--output-format","stream-json","--verbose","--input-format","stream-json"];if(u!==void 0&&L.push("--max-thinking-tokens",u.toString()),l&&L.push("--max-turns",l.toString()),d!==void 0&&L.push("--max-budget-usd",d.toString()),f&&L.push("--model",f),n&&n.length>0&&L.push("--betas",n.join(",")),h&&L.push("--json-schema",im(h)),c.DEBUG_CLAUDE_AGENT_SDK&&L.push("--debug-to-stderr"),k){if(y)throw new Error("canUseTool callback cannot be used with permissionPromptToolName. Please use one or the other.");L.push("--permission-prompt-tool","stdio")}else y&&L.push("--permission-prompt-tool",y);if(b&&L.push("--continue"),S&&L.push("--resume",S),_.length>0&&L.push("--allowedTools",_.join(",")),T.length>0&&L.push("--disallowedTools",T.join(",")),R!==void 0&&(Array.isArray(R)?R.length===0?L.push("--tools",""):L.push("--tools",R.join(",")):L.push("--tools","default")),A&&Object.keys(A).length>0&&L.push("--mcp-config",im({mcpServers:A})),E&&L.push("--setting-sources",E.join(",")),x&&L.push("--strict-mcp-config"),m&&L.push("--permission-mode",m),g&&L.push("--allow-dangerously-skip-permissions"),p){if(f&&p===f)throw new Error("Fallback model cannot be the same as the main model. Please specify a different model for fallbackModel option.");L.push("--fallback-model",p)}P&&L.push("--include-partial-messages");for(let F of t)L.push("--add-dir",F);if(N&&N.length>0)for(let F of N)if(F.type==="local")L.push("--plugin-dir",F.path);else throw new Error(`Unsupported plugin type: ${F.type}`);this.options.forkSession&&L.push("--fork-session"),this.options.resumeSessionAt&&L.push("--resume-session-at",this.options.resumeSessionAt),this.options.persistSession===!1&&L.push("--no-session-persistence");let G=Fsr(o??{},C);for(let[F,V]of Object.entries(G))V===null?L.push(`--${F}`):L.push(`--${F}`,V);c.CLAUDE_CODE_ENTRYPOINT||(c.CLAUDE_CODE_ENTRYPOINT="sdk-ts"),delete c.NODE_OPTIONS,c.DEBUG_CLAUDE_AGENT_SDK?c.DEBUG="1":delete c.DEBUG;let W=jsr(a),$=W?a:i,q=W?[...s,...L]:[...s,a,...L],Q={command:$,args:q,cwd:r,env:c,signal:this.abortController.signal};if(this.options.spawnClaudeCodeProcess)Kv(`Spawning Claude Code (custom): ${$} ${q.join(" ")}`),this.process=this.options.spawnClaudeCodeProcess(Q);else{if(!Xg().existsSync(a)){let V=W?`Claude Code native binary not found at ${a}. Please ensure Claude Code is installed via native installer or specify a valid path with options.pathToClaudeCodeExecutable.`:`Claude Code executable not found at ${a}. Is options.pathToClaudeCodeExecutable set?`;throw new ReferenceError(V)}Kv(`Spawning Claude Code: ${$} ${q.join(" ")}`),this.process=this.spawnLocalProcess(Q)}this.processStdin=this.process.stdin,this.processStdout=this.process.stdout;let B=()=>{this.process&&!this.process.killed&&this.process.kill("SIGTERM")};this.processExitHandler=B,this.abortHandler=B,process.on("exit",this.processExitHandler),this.abortController.signal.addEventListener("abort",this.abortHandler),this.process.on("error",F=>{this.ready=!1,this.abortController.signal.aborted?this.exitError=new tE("Claude Code process aborted by user"):(this.exitError=new Error(`Failed to spawn Claude Code process: ${F.message}`),Kv(this.exitError.message))}),this.process.on("exit",(F,V)=>{if(this.ready=!1,this.abortController.signal.aborted)this.exitError=new tE("Claude Code process aborted by user");else{let U=this.getProcessExitError(F,V);U&&(this.exitError=U,Kv(U.message))}}),this.ready=!0}catch(t){throw this.ready=!1,t}}getProcessExitError(t,n){if(t!==0&&t!==null)return new Error(`Claude Code process exited with code ${t}`);if(n)return new Error(`Claude Code process terminated by signal ${n}`)}write(t){if(this.abortController.signal.aborted)throw new tE("Operation aborted");if(!this.ready||!this.processStdin)throw new Error("ProcessTransport is not ready for writing");if(this.process?.killed||this.process?.exitCode!==null)throw new Error("Cannot write to terminated process");if(this.exitError)throw new Error(`Cannot write to process that exited with error: ${this.exitError.message}`);Kv(`[ProcessTransport] Writing to stdin: ${t.substring(0,100)}`);try{this.processStdin.write(t)||Kv("[ProcessTransport] Write buffer full, data queued")}catch(n){throw this.ready=!1,new Error(`Failed to write to process stdin: ${n.message}`)}}close(){this.processStdin&&(this.processStdin.end(),this.processStdin=void 0),this.abortHandler&&(this.abortController.signal.removeEventListener("abort",this.abortHandler),this.abortHandler=void 0);for(let{handler:t}of this.exitListeners)this.process?.off("exit",t);this.exitListeners=[],this.process&&!this.process.killed&&(this.process.kill("SIGTERM"),setTimeout(()=>{this.process&&!this.process.killed&&this.process.kill("SIGKILL")},5e3)),this.ready=!1,this.processExitHandler&&(process.off("exit",this.processExitHandler),this.processExitHandler=void 0)}isReady(){return this.ready}async*readMessages(){if(!this.processStdout)throw new Error("ProcessTransport output stream not available");let t=brr({input:this.processStdout});try{for await(let n of t)n.trim()&&(yield kOt(n));await this.waitForExit()}catch(n){throw n}finally{t.close()}}endInput(){this.processStdin&&this.processStdin.end()}getInputStream(){return this.processStdin}onExit(t){if(!this.process)return()=>{};let n=(r,i)=>{let s=this.getProcessExitError(r,i);t(s)};return this.process.on("exit",n),this.exitListeners.push({callback:t,handler:n}),()=>{this.process&&this.process.off("exit",n);let r=this.exitListeners.findIndex(i=>i.handler===n);r!==-1&&this.exitListeners.splice(r,1)}}async waitForExit(){if(!this.process){if(this.exitError)throw this.exitError;return}if(this.process.exitCode!==null||this.process.killed){if(this.exitError)throw this.exitError;return}return new Promise((t,n)=>{let r=(s,o)=>{if(this.abortController.signal.aborted){n(new tE("Operation aborted"));return}let a=this.getProcessExitError(s,o);a?n(a):t()};this.process.once("exit",r);let i=s=>{this.process.off("exit",r),n(s)};this.process.once("error",i),this.process.once("exit",()=>{this.process.off("error",i)})})}};O5=class{returned;queue=[];readResolve;readReject;isDone=!1;hasError;started=!1;constructor(t){this.returned=t}[Symbol.asyncIterator](){if(this.started)throw new Error("Stream can only be iterated once");return this.started=!0,this}next(){return this.queue.length>0?Promise.resolve({done:!1,value:this.queue.shift()}):this.isDone?Promise.resolve({done:!0,value:void 0}):this.hasError?Promise.reject(this.hasError):new Promise((t,n)=>{this.readResolve=t,this.readReject=n})}enqueue(t){if(this.readResolve){let n=this.readResolve;this.readResolve=void 0,this.readReject=void 0,n({done:!1,value:t})}else this.queue.push(t)}done(){if(this.isDone=!0,this.readResolve){let t=this.readResolve;this.readResolve=void 0,this.readReject=void 0,t({done:!0,value:void 0})}}error(t){if(this.hasError=t,this.readReject){let n=this.readReject;this.readResolve=void 0,this.readReject=void 0,n(t)}}return(){return this.isDone=!0,this.returned&&this.returned(),Promise.resolve({done:!0,value:void 0})}},eTe=class{sendMcpMessage;isClosed=!1;constructor(t){this.sendMcpMessage=t}onclose;onerror;onmessage;async start(){}async send(t){if(this.isClosed)throw new Error("Transport is closed");this.sendMcpMessage(t)}async close(){this.isClosed||(this.isClosed=!0,this.onclose?.())}},P5=class{transport;isSingleUserTurn;canUseTool;hooks;abortController;jsonSchema;initConfig;pendingControlResponses=new Map;cleanupPerformed=!1;sdkMessages;inputStream=new O5;initialization;cancelControllers=new Map;hookCallbacks=new Map;nextCallbackId=0;sdkMcpTransports=new Map;sdkMcpServerInstances=new Map;pendingMcpResponses=new Map;firstResultReceivedResolve;firstResultReceived=!1;hasBidirectionalNeeds(){return this.sdkMcpTransports.size>0||this.hooks!==void 0&&Object.keys(this.hooks).length>0||this.canUseTool!==void 0}constructor(t,n,r,i,s,o=new Map,a,c){this.transport=t,this.isSingleUserTurn=n,this.canUseTool=r,this.hooks=i,this.abortController=s,this.jsonSchema=a,this.initConfig=c;for(let[u,l]of o)this.connectSdkMcpServer(u,l);this.sdkMessages=this.readSdkMessages(),this.readMessages(),this.initialization=this.initialize(),this.initialization.catch(()=>{})}setError(t){this.inputStream.error(t)}cleanup(t){if(!this.cleanupPerformed){this.cleanupPerformed=!0;try{this.transport.close(),this.pendingControlResponses.clear(),this.pendingMcpResponses.clear(),this.cancelControllers.clear(),this.hookCallbacks.clear();for(let n of this.sdkMcpTransports.values())try{n.close()}catch{}this.sdkMcpTransports.clear(),t?this.inputStream.error(t):this.inputStream.done()}catch{}}}next(...[t]){return this.sdkMessages.next(t)}return(t){return this.sdkMessages.return(t)}throw(t){return this.sdkMessages.throw(t)}[Symbol.asyncIterator](){return this.sdkMessages}[Symbol.asyncDispose](){return this.sdkMessages[Symbol.asyncDispose]()}async readMessages(){try{for await(let t of this.transport.readMessages()){if(t.type==="control_response"){let n=this.pendingControlResponses.get(t.response.request_id);n&&n(t.response);continue}else if(t.type==="control_request"){this.handleControlRequest(t);continue}else if(t.type==="control_cancel_request"){this.handleControlCancelRequest(t);continue}else if(t.type==="keep_alive")continue;t.type==="result"&&(this.firstResultReceived=!0,this.firstResultReceivedResolve&&this.firstResultReceivedResolve(),this.isSingleUserTurn&&(Zg("[Query.readMessages] First result received for single-turn query, closing stdin"),this.transport.endInput())),this.inputStream.enqueue(t)}this.firstResultReceivedResolve&&this.firstResultReceivedResolve(),this.inputStream.done(),this.cleanup()}catch(t){this.firstResultReceivedResolve&&this.firstResultReceivedResolve(),this.inputStream.error(t),this.cleanup(t)}}async handleControlRequest(t){let n=new AbortController;this.cancelControllers.set(t.request_id,n);try{let r=await this.processControlRequest(t,n.signal),i={type:"control_response",response:{subtype:"success",request_id:t.request_id,response:r}};await Promise.resolve(this.transport.write(im(i)+`
+`))}catch(r){let i={type:"control_response",response:{subtype:"error",request_id:t.request_id,error:r.message||String(r)}};await Promise.resolve(this.transport.write(im(i)+`
+`))}finally{this.cancelControllers.delete(t.request_id)}}handleControlCancelRequest(t){let n=this.cancelControllers.get(t.request_id);n&&(n.abort(),this.cancelControllers.delete(t.request_id))}async processControlRequest(t,n){if(t.request.subtype==="can_use_tool"){if(!this.canUseTool)throw new Error("canUseTool callback is not provided.");return{...await this.canUseTool(t.request.tool_name,t.request.input,{signal:n,suggestions:t.request.permission_suggestions,blockedPath:t.request.blocked_path,decisionReason:t.request.decision_reason,toolUseID:t.request.tool_use_id,agentID:t.request.agent_id}),toolUseID:t.request.tool_use_id}}else{if(t.request.subtype==="hook_callback")return await this.handleHookCallbacks(t.request.callback_id,t.request.input,t.request.tool_use_id,n);if(t.request.subtype==="mcp_message"){let r=t.request,i=this.sdkMcpTransports.get(r.server_name);if(!i)throw new Error(`SDK MCP server not found: ${r.server_name}`);return"method"in r.message&&"id"in r.message&&r.message.id!==null?{mcp_response:await this.handleMcpControlRequest(r.server_name,r,i)}:(i.onmessage&&i.onmessage(r.message),{mcp_response:{jsonrpc:"2.0",result:{},id:0}})}}throw new Error("Unsupported control request subtype: "+t.request.subtype)}async*readSdkMessages(){for await(let t of this.inputStream)yield t}async initialize(){let t;if(this.hooks){t={};for(let[s,o]of Object.entries(this.hooks))o.length>0&&(t[s]=o.map(a=>{let c=[];for(let u of a.hooks){let l=`hook_${this.nextCallbackId++}`;this.hookCallbacks.set(l,u),c.push(l)}return{matcher:a.matcher,hookCallbackIds:c,timeout:a.timeout}}))}let n=this.sdkMcpTransports.size>0?Array.from(this.sdkMcpTransports.keys()):void 0,r={subtype:"initialize",hooks:t,sdkMcpServers:n,jsonSchema:this.jsonSchema,systemPrompt:this.initConfig?.systemPrompt,appendSystemPrompt:this.initConfig?.appendSystemPrompt,agents:this.initConfig?.agents};return(await this.request(r)).response}async interrupt(){await this.request({subtype:"interrupt"})}async setPermissionMode(t){await this.request({subtype:"set_permission_mode",mode:t})}async setModel(t){await this.request({subtype:"set_model",model:t})}async setMaxThinkingTokens(t){await this.request({subtype:"set_max_thinking_tokens",max_thinking_tokens:t})}async rewindFiles(t,n){return(await this.request({subtype:"rewind_files",user_message_id:t,dry_run:n?.dryRun})).response}async processPendingPermissionRequests(t){for(let n of t)n.request.subtype==="can_use_tool"&&this.handleControlRequest(n).catch(()=>{})}request(t){let n=Math.random().toString(36).substring(2,15),r={request_id:n,type:"control_request",request:t};return new Promise((i,s)=>{this.pendingControlResponses.set(n,o=>{o.subtype==="success"?i(o):(s(new Error(o.error)),o.pending_permission_requests&&this.processPendingPermissionRequests(o.pending_permission_requests))}),Promise.resolve(this.transport.write(im(r)+`
+`))})}async supportedCommands(){return(await this.initialization).commands}async supportedModels(){return(await this.initialization).models}async mcpServerStatus(){return(await this.request({subtype:"mcp_status"})).response.mcpServers}async setMcpServers(t){let n={},r={};for(let[c,u]of Object.entries(t))u.type==="sdk"&&"instance"in u?n[c]=u.instance:r[c]=u;let i=new Set(this.sdkMcpServerInstances.keys()),s=new Set(Object.keys(n));for(let c of i)s.has(c)||await this.disconnectSdkMcpServer(c);for(let[c,u]of Object.entries(n))i.has(c)||this.connectSdkMcpServer(c,u);let o={};for(let c of Object.keys(n))o[c]={type:"sdk",name:c};return(await this.request({subtype:"mcp_set_servers",servers:{...r,...o}})).response}async accountInfo(){return(await this.initialization).account}async streamInput(t){Zg("[Query.streamInput] Starting to process input stream");try{let n=0;for await(let r of t){if(n++,Zg(`[Query.streamInput] Processing message ${n}: ${r.type}`),this.abortController?.signal.aborted)break;await Promise.resolve(this.transport.write(im(r)+`
+`))}Zg(`[Query.streamInput] Finished processing ${n} messages from input stream`),n>0&&this.hasBidirectionalNeeds()&&(Zg("[Query.streamInput] Has bidirectional needs, waiting for first result"),await this.waitForFirstResult()),Zg("[Query] Calling transport.endInput() to close stdin to CLI process"),this.transport.endInput()}catch(n){if(!(n instanceof tE))throw n}}waitForFirstResult(){return this.firstResultReceived?(Zg("[Query.waitForFirstResult] Result already received, returning immediately"),Promise.resolve()):new Promise(t=>{if(this.abortController?.signal.aborted){t();return}this.abortController?.signal.addEventListener("abort",()=>t(),{once:!0}),this.firstResultReceivedResolve=t})}handleHookCallbacks(t,n,r,i){let s=this.hookCallbacks.get(t);if(!s)throw new Error(`No hook callback found for ID: ${t}`);return s(n,r,{signal:i})}connectSdkMcpServer(t,n){let r=new eTe(i=>this.sendMcpServerMessageToCli(t,i));this.sdkMcpTransports.set(t,r),this.sdkMcpServerInstances.set(t,n),n.connect(r)}async disconnectSdkMcpServer(t){let n=this.sdkMcpTransports.get(t);n&&(await n.close(),this.sdkMcpTransports.delete(t)),this.sdkMcpServerInstances.delete(t)}sendMcpServerMessageToCli(t,n){if("id"in n&&n.id!==null&&n.id!==void 0){let i=`${t}:${n.id}`,s=this.pendingMcpResponses.get(i);if(s){s.resolve(n),this.pendingMcpResponses.delete(i);return}}let r={type:"control_request",request_id:Hsr(),request:{subtype:"mcp_message",server_name:t,message:n}};this.transport.write(im(r)+`
+`)}handleMcpControlRequest(t,n,r){let i="id"in n.message?n.message.id:null,s=`${t}:${i}`;return new Promise((o,a)=>{let c=()=>{this.pendingMcpResponses.delete(s)},u=d=>{c(),o(d)},l=d=>{c(),a(d)};if(this.pendingMcpResponses.set(s,{resolve:u,reject:l}),r.onmessage)r.onmessage(n.message);else{c(),a(new Error("No message handler registered"));return}})}},N5=class{closed=!1;inputStream;query;queryIterator=null;abortController;_sessionId=null;get sessionId(){if(this._sessionId===null)throw new Error("Session ID not available until after receiving messages");return this._sessionId}constructor(t){t.resume&&(this._sessionId=t.resume),this.inputStream=new O5;let n=t.pathToClaudeCodeExecutable;if(!n){let s=qsr(import.meta.url),o=Ixt(s,"..");n=Ixt(o,"cli.js")}let r={...t.env??process.env};r.CLAUDE_CODE_ENTRYPOINT||(r.CLAUDE_CODE_ENTRYPOINT="sdk-ts"),this.abortController=CTe();let i=new x5({abortController:this.abortController,pathToClaudeCodeExecutable:n,env:r,executable:t.executable??(LTe()?"bun":"node"),executableArgs:t.executableArgs??[],extraArgs:{},maxThinkingTokens:void 0,maxTurns:void 0,maxBudgetUsd:void 0,model:t.model,fallbackModel:void 0,permissionMode:"default",allowDangerouslySkipPermissions:!1,continueConversation:!1,resume:t.resume,settingSources:[],allowedTools:[],disallowedTools:[],mcpServers:{},strictMcpConfig:!1,canUseTool:!1,hooks:!1,includePartialMessages:!1,forkSession:!1,resumeSessionAt:void 0});this.query=new P5(i,!1,void 0,void 0,this.abortController,new Map),this.query.streamInput(this.inputStream)}async send(t){if(this.closed)throw new Error("Cannot send to closed session");let n=typeof 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if(s.kind==="ulid")Ksr.test(t.data)||(i=this._getOrReturnCtx(t,i),Ye(i,{validation:"ulid",code:xe.invalid_string,message:s.message}),r.dirty());else if(s.kind==="url")try{new URL(t.data)}catch{i=this._getOrReturnCtx(t,i),Ye(i,{validation:"url",code:xe.invalid_string,message:s.message}),r.dirty()}else 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isEmoji(){return!!this._def.checks.find(t=>t.kind==="emoji")}get isUUID(){return!!this._def.checks.find(t=>t.kind==="uuid")}get isNANOID(){return!!this._def.checks.find(t=>t.kind==="nanoid")}get isCUID(){return!!this._def.checks.find(t=>t.kind==="cuid")}get isCUID2(){return!!this._def.checks.find(t=>t.kind==="cuid2")}get isULID(){return!!this._def.checks.find(t=>t.kind==="ulid")}get isIP(){return!!this._def.checks.find(t=>t.kind==="ip")}get isCIDR(){return!!this._def.checks.find(t=>t.kind==="cidr")}get isBase64(){return!!this._def.checks.find(t=>t.kind==="base64")}get isBase64url(){return!!this._def.checks.find(t=>t.kind==="base64url")}get minLength(){let t=null;for(let n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t}get maxLength(){let t=null;for(let n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t}};Mx.create=e=>new Mx({checks:[],typeName:De.ZodString,coerce:e?.coerce??!1,...ln(e)});OU=class e extends 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this._addCheck({kind:"min",inclusive:!0,value:Number.MIN_SAFE_INTEGER,message:lt.toString(t)})._addCheck({kind:"max",inclusive:!0,value:Number.MAX_SAFE_INTEGER,message:lt.toString(t)})}get minValue(){let t=null;for(let n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t}get maxValue(){let t=null;for(let n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t}get isInt(){return!!this._def.checks.find(t=>t.kind==="int"||t.kind==="multipleOf"&&ir.isInteger(t.value))}get isFinite(){let t=null,n=null;for(let r of this._def.checks){if(r.kind==="finite"||r.kind==="int"||r.kind==="multipleOf")return!0;r.kind==="min"?(n===null||r.value>n)&&(n=r.value):r.kind==="max"&&(t===null||r.value<t)&&(t=r.value)}return Number.isFinite(n)&&Number.isFinite(t)}};OU.create=e=>new OU({checks:[],typeName:De.ZodNumber,coerce:e?.coerce||!1,...ln(e)});PU=class e extends 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minValue(){let t=null;for(let n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t}get maxValue(){let t=null;for(let n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t}};PU.create=e=>new PU({checks:[],typeName:De.ZodBigInt,coerce:e?.coerce??!1,...ln(e)});NU=class extends Tn{_parse(t){if(this._def.coerce&&(t.data=!!t.data),this._getType(t)!==nt.boolean){let r=this._getOrReturnCtx(t);return Ye(r,{code:xe.invalid_type,expected:nt.boolean,received:r.parsedType}),Vt}return Xu(t.data)}};NU.create=e=>new NU({typeName:De.ZodBoolean,coerce:e?.coerce||!1,...ln(e)});CU=class e extends Tn{_parse(t){if(this._def.coerce&&(t.data=new Date(t.data)),this._getType(t)!==nt.date){let s=this._getOrReturnCtx(t);return Ye(s,{code:xe.invalid_type,expected:nt.date,received:s.parsedType}),Vt}if(Number.isNaN(t.data.getTime())){let s=this._getOrReturnCtx(t);return Ye(s,{code:xe.invalid_date}),Vt}let r=new iu,i;for(let s of this._def.checks)s.kind==="min"?t.data.getTime()<s.value&&(i=this._getOrReturnCtx(t,i),Ye(i,{code:xe.too_small,message:s.message,inclusive:!0,exact:!1,minimum:s.value,type:"date"}),r.dirty()):s.kind==="max"?t.data.getTime()>s.value&&(i=this._getOrReturnCtx(t,i),Ye(i,{code:xe.too_big,message:s.message,inclusive:!0,exact:!1,maximum:s.value,type:"date"}),r.dirty()):ir.assertNever(s);return{status:r.value,value:new Date(t.data.getTime())}}_addCheck(t){return new e({...this._def,checks:[...this._def.checks,t]})}min(t,n){return this._addCheck({kind:"min",value:t.getTime(),message:lt.toString(n)})}max(t,n){return this._addCheck({kind:"max",value:t.getTime(),message:lt.toString(n)})}get minDate(){let t=null;for(let n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t!=null?new Date(t):null}get maxDate(){let t=null;for(let n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t!=null?new Date(t):null}};CU.create=e=>new CU({checks:[],coerce:e?.coerce||!1,typeName:De.ZodDate,...ln(e)});MU=class extends Tn{_parse(t){if(this._getType(t)!==nt.symbol){let r=this._getOrReturnCtx(t);return Ye(r,{code:xe.invalid_type,expected:nt.symbol,received:r.parsedType}),Vt}return Xu(t.data)}};MU.create=e=>new MU({typeName:De.ZodSymbol,...ln(e)});Dx=class extends Tn{_parse(t){if(this._getType(t)!==nt.undefined){let r=this._getOrReturnCtx(t);return Ye(r,{code:xe.invalid_type,expected:nt.undefined,received:r.parsedType}),Vt}return Xu(t.data)}};Dx.create=e=>new Dx({typeName:De.ZodUndefined,...ln(e)});Lx=class extends Tn{_parse(t){if(this._getType(t)!==nt.null){let r=this._getOrReturnCtx(t);return Ye(r,{code:xe.invalid_type,expected:nt.null,received:r.parsedType}),Vt}return Xu(t.data)}};Lx.create=e=>new Lx({typeName:De.ZodNull,...ln(e)});DU=class extends Tn{constructor(){super(...arguments),this._any=!0}_parse(t){return Xu(t.data)}};DU.create=e=>new DU({typeName:De.ZodAny,...ln(e)});rE=class extends Tn{constructor(){super(...arguments),this._unknown=!0}_parse(t){return Xu(t.data)}};rE.create=e=>new rE({typeName:De.ZodUnknown,...ln(e)});om=class extends Tn{_parse(t){let n=this._getOrReturnCtx(t);return Ye(n,{code:xe.invalid_type,expected:nt.never,received:n.parsedType}),Vt}};om.create=e=>new om({typeName:De.ZodNever,...ln(e)});LU=class extends Tn{_parse(t){if(this._getType(t)!==nt.undefined){let r=this._getOrReturnCtx(t);return Ye(r,{code:xe.invalid_type,expected:nt.void,received:r.parsedType}),Vt}return Xu(t.data)}};LU.create=e=>new LU({typeName:De.ZodVoid,...ln(e)});iE=class e extends Tn{_parse(t){let{ctx:n,status:r}=this._processInputParams(t),i=this._def;if(n.parsedType!==nt.array)return Ye(n,{code:xe.invalid_type,expected:nt.array,received:n.parsedType}),Vt;if(i.exactLength!==null){let o=n.data.length>i.exactLength.value,a=n.data.length<i.exactLength.value;(o||a)&&(Ye(n,{code:o?xe.too_big:xe.too_small,minimum:a?i.exactLength.value:void 0,maximum:o?i.exactLength.value:void 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this.min(1,t)}};iE.create=(e,t)=>new iE({type:e,minLength:null,maxLength:null,exactLength:null,typeName:De.ZodArray,...ln(t)});Fl=class e extends Tn{constructor(){super(...arguments),this._cached=null,this.nonstrict=this.passthrough,this.augment=this.extend}_getCached(){if(this._cached!==null)return this._cached;let t=this._def.shape(),n=ir.objectKeys(t);return this._cached={shape:t,keys:n},this._cached}_parse(t){if(this._getType(t)!==nt.object){let u=this._getOrReturnCtx(t);return Ye(u,{code:xe.invalid_type,expected:nt.object,received:u.parsedType}),Vt}let{status:r,ctx:i}=this._processInputParams(t),{shape:s,keys:o}=this._getCached(),a=[];if(!(this._def.catchall instanceof om&&this._def.unknownKeys==="strip"))for(let u in i.data)o.includes(u)||a.push(u);let c=[];for(let u of o){let l=s[u],d=i.data[u];c.push({key:{status:"valid",value:u},value:l._parse(new Jd(i,d,i.path,u)),alwaysSet:u in i.data})}if(this._def.catchall instanceof om){let u=this._def.unknownKeys;if(u==="passthrough")for(let l of a)c.push({key:{status:"valid",value:l},value:{status:"valid",value:i.data[l]}});else if(u==="strict")a.length>0&&(Ye(i,{code:xe.unrecognized_keys,keys:a}),r.dirty());else if(u!=="strip")throw new Error("Internal ZodObject error: invalid unknownKeys value.")}else{let u=this._def.catchall;for(let l of a){let d=i.data[l];c.push({key:{status:"valid",value:l},value:u._parse(new Jd(i,d,i.path,l)),alwaysSet:l in i.data})}}return i.common.async?Promise.resolve().then(async()=>{let u=[];for(let l of c){let d=await l.key,f=await l.value;u.push({key:d,value:f,alwaysSet:l.alwaysSet})}return u}).then(u=>iu.mergeObjectSync(r,u)):iu.mergeObjectSync(r,c)}get shape(){return this._def.shape()}strict(t){return lt.errToObj,new e({...this._def,unknownKeys:"strict",...t!==void 0?{errorMap:(n,r)=>{let i=this._def.errorMap?.(n,r).message??r.defaultError;return 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n={};for(let r of ir.objectKeys(this.shape))if(t&&!t[r])n[r]=this.shape[r];else{let s=this.shape[r];for(;s instanceof mp;)s=s._def.innerType;n[r]=s}return new e({...this._def,shape:()=>n})}keyof(){return COt(ir.objectKeys(this.shape))}};Fl.create=(e,t)=>new Fl({shape:()=>e,unknownKeys:"strip",catchall:om.create(),typeName:De.ZodObject,...ln(t)});Fl.strictCreate=(e,t)=>new Fl({shape:()=>e,unknownKeys:"strict",catchall:om.create(),typeName:De.ZodObject,...ln(t)});Fl.lazycreate=(e,t)=>new Fl({shape:e,unknownKeys:"strip",catchall:om.create(),typeName:De.ZodObject,...ln(t)});Ux=class extends Tn{_parse(t){let{ctx:n}=this._processInputParams(t),r=this._def.options;function i(s){for(let a of s)if(a.result.status==="valid")return a.result;for(let a of s)if(a.result.status==="dirty")return n.common.issues.push(...a.ctx.common.issues),a.result;let o=s.map(a=>new Zd(a.ctx.common.issues));return Ye(n,{code:xe.invalid_union,unionErrors:o}),Vt}if(n.common.async)return Promise.all(r.map(async s=>{let o={...n,common:{...n.common,issues:[]},parent:null};return{result:await s._parseAsync({data:n.data,path:n.path,parent:o}),ctx:o}})).then(i);{let s,o=[];for(let c of r){let u={...n,common:{...n.common,issues:[]},parent:null},l=c._parseSync({data:n.data,path:n.path,parent:u});if(l.status==="valid")return l;l.status==="dirty"&&!s&&(s={result:l,ctx:u}),u.common.issues.length&&o.push(u.common.issues)}if(s)return n.common.issues.push(...s.ctx.common.issues),s.result;let a=o.map(c=>new Zd(c));return Ye(n,{code:xe.invalid_union,unionErrors:a}),Vt}}get options(){return this._def.options}};Ux.create=(e,t)=>new Ux({options:e,typeName:De.ZodUnion,...ln(t)});Yg=e=>e instanceof jx?Yg(e.schema):e instanceof gp?Yg(e.innerType()):e instanceof Hx?[e.value]:e instanceof qx?e.options:e instanceof Bx?ir.objectValues(e.enum):e instanceof zx?Yg(e._def.innerType):e instanceof Dx?[void 0]:e instanceof Lx?[null]:e instanceof mp?[void 0,...Yg(e.unwrap())]:e instanceof $g?[null,...Yg(e.unwrap())]:e instanceof M5||e instanceof Vx?Yg(e.unwrap()):e instanceof Gx?Yg(e._def.innerType):[],rTe=class e extends Tn{_parse(t){let{ctx:n}=this._processInputParams(t);if(n.parsedType!==nt.object)return Ye(n,{code:xe.invalid_type,expected:nt.object,received:n.parsedType}),Vt;let r=this.discriminator,i=n.data[r],s=this.optionsMap.get(i);return s?n.common.async?s._parseAsync({data:n.data,path:n.path,parent:n}):s._parseSync({data:n.data,path:n.path,parent:n}):(Ye(n,{code:xe.invalid_union_discriminator,options:Array.from(this.optionsMap.keys()),path:[r]}),Vt)}get discriminator(){return this._def.discriminator}get options(){return this._def.options}get optionsMap(){return this._def.optionsMap}static create(t,n,r){let i=new Map;for(let s of n){let o=Yg(s.shape[t]);if(!o.length)throw new Error(`A discriminator value for key \`${t}\` could not be extracted from all schema options`);for(let a of o){if(i.has(a))throw new Error(`Discriminator property ${String(t)} has duplicate value ${String(a)}`);i.set(a,s)}}return new e({typeName:De.ZodDiscriminatedUnion,discriminator:t,options:n,optionsMap:i,...ln(r)})}};Fx=class extends Tn{_parse(t){let{status:n,ctx:r}=this._processInputParams(t),i=(s,o)=>{if(Oxt(s)||Oxt(o))return Vt;let a=iTe(s.value,o.value);return a.valid?((Pxt(s)||Pxt(o))&&n.dirty(),{status:n.value,value:a.data}):(Ye(r,{code:xe.invalid_intersection_types}),Vt)};return r.common.async?Promise.all([this._def.left._parseAsync({data:r.data,path:r.path,parent:r}),this._def.right._parseAsync({data:r.data,path:r.path,parent:r})]).then(([s,o])=>i(s,o)):i(this._def.left._parseSync({data:r.data,path:r.path,parent:r}),this._def.right._parseSync({data:r.data,path:r.path,parent:r}))}};Fx.create=(e,t,n)=>new Fx({left:e,right:t,typeName:De.ZodIntersection,...ln(n)});Qg=class e extends Tn{_parse(t){let{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==nt.array)return Ye(r,{code:xe.invalid_type,expected:nt.array,received:r.parsedType}),Vt;if(r.data.length<this._def.items.length)return Ye(r,{code:xe.too_small,minimum:this._def.items.length,inclusive:!0,exact:!1,type:"array"}),Vt;!this._def.rest&&r.data.length>this._def.items.length&&(Ye(r,{code:xe.too_big,maximum:this._def.items.length,inclusive:!0,exact:!1,type:"array"}),n.dirty());let s=[...r.data].map((o,a)=>{let c=this._def.items[a]||this._def.rest;return c?c._parse(new Jd(r,o,r.path,a)):null}).filter(o=>!!o);return r.common.async?Promise.all(s).then(o=>iu.mergeArray(n,o)):iu.mergeArray(n,s)}get items(){return this._def.items}rest(t){return new e({...this._def,rest:t})}};Qg.create=(e,t)=>{if(!Array.isArray(e))throw new Error("You must pass an array of schemas to z.tuple([ ... ])");return new Qg({items:e,typeName:De.ZodTuple,rest:null,...ln(t)})};sTe=class e extends Tn{get keySchema(){return this._def.keyType}get valueSchema(){return this._def.valueType}_parse(t){let{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==nt.object)return Ye(r,{code:xe.invalid_type,expected:nt.object,received:r.parsedType}),Vt;let i=[],s=this._def.keyType,o=this._def.valueType;for(let a in r.data)i.push({key:s._parse(new Jd(r,a,r.path,a)),value:o._parse(new Jd(r,r.data[a],r.path,a)),alwaysSet:a in r.data});return r.common.async?iu.mergeObjectAsync(n,i):iu.mergeObjectSync(n,i)}get element(){return this._def.valueType}static create(t,n,r){return n instanceof Tn?new e({keyType:t,valueType:n,typeName:De.ZodRecord,...ln(r)}):new e({keyType:Mx.create(),valueType:t,typeName:De.ZodRecord,...ln(n)})}},UU=class extends Tn{get keySchema(){return this._def.keyType}get valueSchema(){return this._def.valueType}_parse(t){let{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==nt.map)return Ye(r,{code:xe.invalid_type,expected:nt.map,received:r.parsedType}),Vt;let i=this._def.keyType,s=this._def.valueType,o=[...r.data.entries()].map(([a,c],u)=>({key:i._parse(new Jd(r,a,r.path,[u,"key"])),value:s._parse(new Jd(r,c,r.path,[u,"value"]))}));if(r.common.async){let a=new Map;return Promise.resolve().then(async()=>{for(let c of o){let u=await c.key,l=await c.value;if(u.status==="aborted"||l.status==="aborted")return Vt;(u.status==="dirty"||l.status==="dirty")&&n.dirty(),a.set(u.value,l.value)}return{status:n.value,value:a}})}else{let a=new Map;for(let c of o){let u=c.key,l=c.value;if(u.status==="aborted"||l.status==="aborted")return Vt;(u.status==="dirty"||l.status==="dirty")&&n.dirty(),a.set(u.value,l.value)}return{status:n.value,value:a}}}};UU.create=(e,t,n)=>new UU({valueType:t,keyType:e,typeName:De.ZodMap,...ln(n)});FU=class e extends Tn{_parse(t){let{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==nt.set)return Ye(r,{code:xe.invalid_type,expected:nt.set,received:r.parsedType}),Vt;let i=this._def;i.minSize!==null&&r.data.size<i.minSize.value&&(Ye(r,{code:xe.too_small,minimum:i.minSize.value,type:"set",inclusive:!0,exact:!1,message:i.minSize.message}),n.dirty()),i.maxSize!==null&&r.data.size>i.maxSize.value&&(Ye(r,{code:xe.too_big,maximum:i.maxSize.value,type:"set",inclusive:!0,exact:!1,message:i.maxSize.message}),n.dirty());let s=this._def.valueType;function o(c){let u=new Set;for(let l of c){if(l.status==="aborted")return Vt;l.status==="dirty"&&n.dirty(),u.add(l.value)}return{status:n.value,value:u}}let a=[...r.data.values()].map((c,u)=>s._parse(new Jd(r,c,r.path,u)));return r.common.async?Promise.all(a).then(c=>o(c)):o(a)}min(t,n){return new e({...this._def,minSize:{value:t,message:lt.toString(n)}})}max(t,n){return new e({...this._def,maxSize:{value:t,message:lt.toString(n)}})}size(t,n){return this.min(t,n).max(t,n)}nonempty(t){return this.min(1,t)}};FU.create=(e,t)=>new FU({valueType:e,minSize:null,maxSize:null,typeName:De.ZodSet,...ln(t)});oTe=class e extends Tn{constructor(){super(...arguments),this.validate=this.implement}_parse(t){let{ctx:n}=this._processInputParams(t);if(n.parsedType!==nt.function)return Ye(n,{code:xe.invalid_type,expected:nt.function,received:n.parsedType}),Vt;function r(a,c){return nTe({data:a,path:n.path,errorMaps:[n.common.contextualErrorMap,n.schemaErrorMap,tTe(),xU].filter(u=>!!u),issueData:{code:xe.invalid_arguments,argumentsError:c}})}function i(a,c){return nTe({data:a,path:n.path,errorMaps:[n.common.contextualErrorMap,n.schemaErrorMap,tTe(),xU].filter(u=>!!u),issueData:{code:xe.invalid_return_type,returnTypeError:c}})}let s={errorMap:n.common.contextualErrorMap},o=n.data;if(this._def.returns instanceof Zv){let a=this;return Xu(async function(...c){let u=new Zd([]),l=await a._def.args.parseAsync(c,s).catch(p=>{throw u.addIssue(r(c,p)),u}),d=await Reflect.apply(o,this,l);return await a._def.returns._def.type.parseAsync(d,s).catch(p=>{throw u.addIssue(i(d,p)),u})})}else{let a=this;return Xu(function(...c){let 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         if (${S}.issues.length) {
-          if (input[${b}] === undefined) {
-            if (${b} in input) {
-              newResult[${b}] = undefined;
+          if (input[${E}] === undefined) {
+            if (${E} in input) {
+              newResult[${E}] = undefined;
             }
           } else {
             payload.issues = payload.issues.concat(
               ${S}.issues.map((iss) => ({
                 ...iss,
-                path: iss.path ? [${b}, ...iss.path] : [${b}],
+                path: iss.path ? [${E}, ...iss.path] : [${E}],
               }))
             );
           }
         } else if (${S}.value === undefined) {
-          if (${b} in input) newResult[${b}] = undefined;
+          if (${E} in input) newResult[${E}] = undefined;
         } else {
-          newResult[${b}] = ${S}.value;
+          newResult[${E}] = ${S}.value;
         }
-        `)}else{let S=m[E];f.write(`const ${S} = ${h(E)};`),f.write(`
+        `)}else{let S=m[b];f.write(`const ${S} = ${h(b)};`),f.write(`
           if (${S}.issues.length) payload.issues = payload.issues.concat(${S}.issues.map(iss => ({
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a=t.keyType._zod.run({value:o,issues:[]},r);if(a instanceof Promise)throw new Error("Async schemas not supported in object keys currently");if(a.issues.length){n.issues.push({origin:"record",code:"invalid_key",issues:a.issues.map(u=>ty(u,r,ey())),input:o,path:[o],inst:e}),n.value[a.value]=a.value;continue}let c=t.valueType._zod.run({value:i[o],issues:[]},r);c instanceof Promise?s.push(c.then(u=>{u.issues.length&&n.issues.push(...nE(o,u.issues)),n.value[a.value]=u.value})):(c.issues.length&&n.issues.push(...nE(o,c.issues)),n.value[a.value]=c.value)}}return s.length?Promise.all(s).then(()=>n):n}}),ccr=ge("$ZodEnum",(e,t)=>{li.init(e,t);let n=UTe(t.entries);e._zod.values=new Set(n),e._zod.pattern=new RegExp(`^(${n.filter(r=>UOt.has(typeof r)).map(r=>typeof r=="string"?Jx(r):r.toString()).join("|")})$`),e._zod.parse=(r,i)=>{let s=r.value;return 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this._taskMessageQueue.dequeue(o,r.sessionId);){if(c.type==="response"||c.type==="error"){let u=c.message,l=u.id,d=this._requestResolvers.get(l);if(d)if(this._requestResolvers.delete(l),c.type==="response")d(u);else{let f=u,p=new bt(f.error.code,f.error.message,f.error.data);d(p)}else{let f=c.type==="response"?"Response":"Error";this._onerror(new Error(`${f} handler missing for request ${l}`))}continue}await((s=this._transport)===null||s===void 0?void 0:s.send(c.message,{relatedRequestId:r.requestId}))}}let a=await this._taskStore.getTask(o,r.sessionId);if(!a)throw new bt(Ut.InvalidParams,`Task not found: ${o}`);if(!Wv(a.status))return await this._waitForTaskUpdate(o,r.signal),await i();if(Wv(a.status)){let c=await this._taskStore.getTaskResult(o,r.sessionId);return this._clearTaskQueue(o),{...c,_meta:{...c._meta,[Yg]:{taskId:o}}}}return await i()};return await i()}),this.setRequestHandler(BTe,async(n,r)=>{var i;try{let{tasks:s,nextCursor:o}=await this._taskStore.listTasks((i=n.params)===null||i===void 0?void 0:i.cursor,r.sessionId);return{tasks:s,nextCursor:o,_meta:{}}}catch(s){throw new bt(Ut.InvalidParams,`Failed to list tasks: ${s instanceof Error?s.message:String(s)}`)}}),this.setRequestHandler(Qur,async(n,r)=>{try{let i=await this._taskStore.getTask(n.params.taskId,r.sessionId);if(!i)throw new bt(Ut.InvalidParams,`Task not found: ${n.params.taskId}`);if(Wv(i.status))throw new bt(Ut.InvalidParams,`Cannot cancel task in terminal status: ${i.status}`);await this._taskStore.updateTaskStatus(n.params.taskId,"cancelled","Client cancelled task execution.",r.sessionId),this._clearTaskQueue(n.params.taskId);let s=await this._taskStore.getTask(n.params.taskId,r.sessionId);if(!s)throw new bt(Ut.InvalidParams,`Task not found after cancellation: ${n.params.taskId}`);return{_meta:{},...s}}catch(i){throw i instanceof bt?i:new bt(Ut.InvalidRequest,`Failed to cancel task: ${i instanceof Error?i.message:String(i)}`)}}))}async _oncancel(t){let n=this._requestHandlerAbortControllers.get(t.params.requestId);n?.abort(t.params.reason)}_setupTimeout(t,n,r,i,s=!1){this._timeoutInfo.set(t,{timeoutId:setTimeout(i,n),startTime:Date.now(),timeout:n,maxTotalTimeout:r,resetTimeoutOnProgress:s,onTimeout:i})}_resetTimeout(t){let n=this._timeoutInfo.get(t);if(!n)return!1;let r=Date.now()-n.startTime;if(n.maxTotalTimeout&&r>=n.maxTotalTimeout)throw this._timeoutInfo.delete(t),bt.fromError(Ut.RequestTimeout,"Maximum total timeout exceeded",{maxTotalTimeout:n.maxTotalTimeout,totalElapsed:r});return clearTimeout(n.timeoutId),n.timeoutId=setTimeout(n.onTimeout,n.timeout),!0}_cleanupTimeout(t){let n=this._timeoutInfo.get(t);n&&(clearTimeout(n.timeoutId),this._timeoutInfo.delete(t))}async connect(t){var n,r,i;this._transport=t;let s=(n=this.transport)===null||n===void 0?void 0:n.onclose;this._transport.onclose=()=>{s?.(),this._onclose()};let o=(r=this.transport)===null||r===void 0?void 0:r.onerror;this._transport.onerror=c=>{o?.(c),this._onerror(c)};let a=(i=this._transport)===null||i===void 0?void 0:i.onmessage;this._transport.onmessage=(c,u)=>{a?.(c,u),l6(c)||Uur(c)?this._onresponse(c):Dxt(c)?this._onrequest(c,u):Lur(c)?this._onnotification(c):this._onerror(new Error(`Unknown message type: ${JSON.stringify(c)}`))},await this._transport.start()}_onclose(){var t;let n=this._responseHandlers;this._responseHandlers=new Map,this._progressHandlers.clear(),this._taskProgressTokens.clear(),this._pendingDebouncedNotifications.clear();let r=bt.fromError(Ut.ConnectionClosed,"Connection closed");this._transport=void 0,(t=this.onclose)===null||t===void 0||t.call(this);for(let i of n.values())i(r)}_onerror(t){var n;(n=this.onerror)===null||n===void 0||n.call(this,t)}_onnotification(t){var n;let r=(n=this._notificationHandlers.get(t.method))!==null&&n!==void 0?n:this.fallbackNotificationHandler;r!==void 0&&Promise.resolve().then(()=>r(t)).catch(i=>this._onerror(new Error(`Uncaught error in notification handler: ${i}`)))}_onrequest(t,n){var r,i,s,o,a,c;let u=(r=this._requestHandlers.get(t.method))!==null&&r!==void 0?r:this.fallbackRequestHandler,l=this._transport,d=(o=(s=(i=t.params)===null||i===void 0?void 0:i._meta)===null||s===void 0?void 0:s[Yg])===null||o===void 0?void 0:o.taskId;if(u===void 0){let y={jsonrpc:"2.0",id:t.id,error:{code:Ut.MethodNotFound,message:"Method not found"}};d&&this._taskMessageQueue?this._enqueueTaskMessage(d,{type:"error",message:y,timestamp:Date.now()},l?.sessionId).catch(g=>this._onerror(new Error(`Failed to enqueue error response: ${g}`))):l?.send(y).catch(g=>this._onerror(new Error(`Failed to send an error response: ${g}`)));return}let f=new AbortController;this._requestHandlerAbortControllers.set(t.id,f);let p=(a=t.params)===null||a===void 0?void 0:a.task,h=this._taskStore?this.requestTaskStore(t,l?.sessionId):void 0,m={signal:f.signal,sessionId:l?.sessionId,_meta:(c=t.params)===null||c===void 0?void 0:c._meta,sendNotification:async y=>{let g={relatedRequestId:t.id};d&&(g.relatedTask={taskId:d}),await this.notification(y,g)},sendRequest:async(y,g,E)=>{var S,b;let _={...E,relatedRequestId:t.id};d&&!_.relatedTask&&(_.relatedTask={taskId:d});let T=(b=(S=_.relatedTask)===null||S===void 0?void 0:S.taskId)!==null&&b!==void 0?b:d;return T&&h&&await h.updateTaskStatus(T,"input_required"),await this.request(y,g,_)},authInfo:n?.authInfo,requestId:t.id,requestInfo:n?.requestInfo,taskId:d,taskStore:h,taskRequestedTtl:p?.ttl,closeSSEStream:n?.closeSSEStream,closeStandaloneSSEStream:n?.closeStandaloneSSEStream};Promise.resolve().then(()=>{p&&this.assertTaskHandlerCapability(t.method)}).then(()=>u(t,m)).then(async y=>{if(f.signal.aborted)return;let g={result:y,jsonrpc:"2.0",id:t.id};d&&this._taskMessageQueue?await this._enqueueTaskMessage(d,{type:"response",message:g,timestamp:Date.now()},l?.sessionId):await l?.send(g)},async y=>{var g;if(f.signal.aborted)return;let E={jsonrpc:"2.0",id:t.id,error:{code:Number.isSafeInteger(y.code)?y.code:Ut.InternalError,message:(g=y.message)!==null&&g!==void 0?g:"Internal error",...y.data!==void 0&&{data:y.data}}};d&&this._taskMessageQueue?await this._enqueueTaskMessage(d,{type:"error",message:E,timestamp:Date.now()},l?.sessionId):await l?.send(E)}).catch(y=>this._onerror(new Error(`Failed to send response: ${y}`))).finally(()=>{this._requestHandlerAbortControllers.delete(t.id)})}_onprogress(t){let{progressToken:n,...r}=t.params,i=Number(n),s=this._progressHandlers.get(i);if(!s){this._onerror(new Error(`Received a progress notification for an unknown token: ${JSON.stringify(t)}`));return}let o=this._responseHandlers.get(i),a=this._timeoutInfo.get(i);if(a&&o&&a.resetTimeoutOnProgress)try{this._resetTimeout(i)}catch(c){this._responseHandlers.delete(i),this._progressHandlers.delete(i),this._cleanupTimeout(i),o(c);return}s(r)}_onresponse(t){let n=Number(t.id),r=this._requestResolvers.get(n);if(r){if(this._requestResolvers.delete(n),l6(t))r(t);else{let o=new bt(t.error.code,t.error.message,t.error.data);r(o)}return}let i=this._responseHandlers.get(n);if(i===void 0){this._onerror(new Error(`Received a response for an unknown message ID: ${JSON.stringify(t)}`));return}this._responseHandlers.delete(n),this._cleanupTimeout(n);let s=!1;if(l6(t)&&t.result&&typeof t.result=="object"){let o=t.result;if(o.task&&typeof o.task=="object"){let a=o.task;typeof a.taskId=="string"&&(s=!0,this._taskProgressTokens.set(a.taskId,n))}}if(s||this._progressHandlers.delete(n),l6(t))i(t);else{let o=bt.fromError(t.error.code,t.error.message,t.error.data);i(o)}}get transport(){return this._transport}async close(){var t;await((t=this._transport)===null||t===void 0?void 0:t.close())}async*requestStream(t,n,r){var i,s,o,a;let{task:c}=r??{};if(!c){try{yield{type:"result",result:await this.request(t,n,r)}}catch(l){yield{type:"error",error:l instanceof bt?l:new bt(Ut.InternalError,String(l))}}return}let u;try{let l=await this.request(t,z6,r);if(l.task)u=l.task.taskId,yield{type:"taskCreated",task:l.task};else throw new bt(Ut.InternalError,"Task creation did not return a task");for(;;){let d=await this.getTask({taskId:u},r);if(yield{type:"taskStatus",task:d},Wv(d.status)){d.status==="completed"?yield{type:"result",result:await this.getTaskResult({taskId:u},n,r)}:d.status==="failed"?yield{type:"error",error:new bt(Ut.InternalError,`Task ${u} failed`)}:d.status==="cancelled"&&(yield{type:"error",error:new bt(Ut.InternalError,`Task ${u} was cancelled`)});return}if(d.status==="input_required"){yield{type:"result",result:await this.getTaskResult({taskId:u},n,r)};return}let f=(o=(i=d.pollInterval)!==null&&i!==void 0?i:(s=this._options)===null||s===void 0?void 0:s.defaultTaskPollInterval)!==null&&o!==void 0?o:1e3;await new Promise(p=>setTimeout(p,f)),(a=r?.signal)===null||a===void 0||a.throwIfAborted()}}catch(l){yield{type:"error",error:l instanceof bt?l:new bt(Ut.InternalError,String(l))}}}request(t,n,r){let{relatedRequestId:i,resumptionToken:s,onresumptiontoken:o,task:a,relatedTask:c}=r??{};return new Promise((u,l)=>{var d,f,p,h,m,y,g;let E=x=>{l(x)};if(!this._transport){E(new Error("Not connected"));return}if(((d=this._options)===null||d===void 0?void 0:d.enforceStrictCapabilities)===!0)try{this.assertCapabilityForMethod(t.method),a&&this.assertTaskCapability(t.method)}catch(x){E(x);return}(f=r?.signal)===null||f===void 0||f.throwIfAborted();let S=this._requestMessageId++,b={...t,jsonrpc:"2.0",id:S};r?.onprogress&&(this._progressHandlers.set(S,r.onprogress),b.params={...t.params,_meta:{...((p=t.params)===null||p===void 0?void 0:p._meta)||{},progressToken:S}}),a&&(b.params={...b.params,task:a}),c&&(b.params={...b.params,_meta:{...((h=b.params)===null||h===void 0?void 0:h._meta)||{},[Yg]:c}});let _=x=>{var k;this._responseHandlers.delete(S),this._progressHandlers.delete(S),this._cleanupTimeout(S),(k=this._transport)===null||k===void 0||k.send({jsonrpc:"2.0",method:"notifications/cancelled",params:{requestId:S,reason:String(x)}},{relatedRequestId:i,resumptionToken:s,onresumptiontoken:o}).catch(P=>this._onerror(new Error(`Failed to send cancellation: ${P}`)));let N=x instanceof bt?x:new bt(Ut.RequestTimeout,String(x));l(N)};this._responseHandlers.set(S,x=>{var k;if(!(!((k=r?.signal)===null||k===void 0)&&k.aborted)){if(x instanceof Error)return l(x);try{let N=hU(n,x.result);N.success?u(N.data):l(N.error)}catch(N){l(N)}}}),(m=r?.signal)===null||m===void 0||m.addEventListener("abort",()=>{var x;_((x=r?.signal)===null||x===void 0?void 0:x.reason)});let T=(y=r?.timeout)!==null&&y!==void 0?y:Jdr,A=()=>_(bt.fromError(Ut.RequestTimeout,"Request timed out",{timeout:T}));this._setupTimeout(S,T,r?.maxTotalTimeout,A,(g=r?.resetTimeoutOnProgress)!==null&&g!==void 0?g:!1);let R=c?.taskId;if(R){let x=k=>{let N=this._responseHandlers.get(S);N?N(k):this._onerror(new Error(`Response handler missing for side-channeled request ${S}`))};this._requestResolvers.set(S,x),this._enqueueTaskMessage(R,{type:"request",message:b,timestamp:Date.now()}).catch(k=>{this._cleanupTimeout(S),l(k)})}else this._transport.send(b,{relatedRequestId:i,resumptionToken:s,onresumptiontoken:o}).catch(x=>{this._cleanupTimeout(S),l(x)})})}async getTask(t,n){return this.request({method:"tasks/get",params:t},HTe,n)}async getTaskResult(t,n,r){return this.request({method:"tasks/result",params:t},n,r)}async listTasks(t,n){return this.request({method:"tasks/list",params:t},GTe,n)}async cancelTask(t,n){return this.request({method:"tasks/cancel",params:t},$ur,n)}async notification(t,n){var r,i,s,o,a;if(!this._transport)throw new Error("Not connected");this.assertNotificationCapability(t.method);let c=(r=n?.relatedTask)===null||r===void 0?void 0:r.taskId;if(c){let f={...t,jsonrpc:"2.0",params:{...t.params,_meta:{...((i=t.params)===null||i===void 0?void 0:i._meta)||{},[Yg]:n.relatedTask}}};await this._enqueueTaskMessage(c,{type:"notification",message:f,timestamp:Date.now()});return}if(((o=(s=this._options)===null||s===void 0?void 0:s.debouncedNotificationMethods)!==null&&o!==void 0?o:[]).includes(t.method)&&!t.params&&!n?.relatedRequestId&&!n?.relatedTask){if(this._pendingDebouncedNotifications.has(t.method))return;this._pendingDebouncedNotifications.add(t.method),Promise.resolve().then(()=>{var f,p;if(this._pendingDebouncedNotifications.delete(t.method),!this._transport)return;let h={...t,jsonrpc:"2.0"};n?.relatedTask&&(h={...h,params:{...h.params,_meta:{...((f=h.params)===null||f===void 0?void 0:f._meta)||{},[Yg]:n.relatedTask}}}),(p=this._transport)===null||p===void 0||p.send(h,n).catch(m=>this._onerror(m))});return}let d={...t,jsonrpc:"2.0"};n?.relatedTask&&(d={...d,params:{...d.params,_meta:{...((a=d.params)===null||a===void 0?void 0:a._meta)||{},[Yg]:n.relatedTask}}}),await this._transport.send(d,n)}setRequestHandler(t,n){let r=Hxt(t);this.assertRequestHandlerCapability(r),this._requestHandlers.set(r,(i,s)=>{let o=qxt(t,i);return Promise.resolve(n(o,s))})}removeRequestHandler(t){this._requestHandlers.delete(t)}assertCanSetRequestHandler(t){if(this._requestHandlers.has(t))throw new Error(`A request handler for ${t} already exists, which would be overridden`)}setNotificationHandler(t,n){let r=Hxt(t);this._notificationHandlers.set(r,i=>{let s=qxt(t,i);return Promise.resolve(n(s))})}removeNotificationHandler(t){this._notificationHandlers.delete(t)}_cleanupTaskProgressHandler(t){let n=this._taskProgressTokens.get(t);n!==void 0&&(this._progressHandlers.delete(n),this._taskProgressTokens.delete(t))}async _enqueueTaskMessage(t,n,r){var i;if(!this._taskStore||!this._taskMessageQueue)throw new Error("Cannot enqueue task message: taskStore and taskMessageQueue are not configured");let s=(i=this._options)===null||i===void 0?void 0:i.maxTaskQueueSize;await this._taskMessageQueue.enqueue(t,n,r,s)}async _clearTaskQueue(t,n){if(this._taskMessageQueue){let r=await this._taskMessageQueue.dequeueAll(t,n);for(let i of r)if(i.type==="request"&&Dxt(i.message)){let s=i.message.id,o=this._requestResolvers.get(s);o?(o(new bt(Ut.InternalError,"Task cancelled or completed")),this._requestResolvers.delete(s)):this._onerror(new Error(`Resolver missing for request ${s} during task ${t} cleanup`))}}}async _waitForTaskUpdate(t,n){var r,i,s;let o=(i=(r=this._options)===null||r===void 0?void 0:r.defaultTaskPollInterval)!==null&&i!==void 0?i:1e3;try{let a=await((s=this._taskStore)===null||s===void 0?void 0:s.getTask(t));a?.pollInterval&&(o=a.pollInterval)}catch{}return new Promise((a,c)=>{if(n.aborted){c(new bt(Ut.InvalidRequest,"Request cancelled"));return}let u=setTimeout(a,o);n.addEventListener("abort",()=>{clearTimeout(u),c(new bt(Ut.InvalidRequest,"Request cancelled"))},{once:!0})})}requestTaskStore(t,n){let r=this._taskStore;if(!r)throw new Error("No task store configured");return{createTask:async i=>{if(!t)throw new Error("No request provided");return await r.createTask(i,t.id,{method:t.method,params:t.params},n)},getTask:async i=>{let s=await r.getTask(i,n);if(!s)throw new bt(Ut.InvalidParams,"Failed to retrieve task: Task not found");return s},storeTaskResult:async(i,s,o)=>{await r.storeTaskResult(i,s,o,n);let a=await r.getTask(i,n);if(a){let c=A6.parse({method:"notifications/tasks/status",params:a});await this.notification(c),Wv(a.status)&&this._cleanupTaskProgressHandler(i)}},getTaskResult:i=>r.getTaskResult(i,n),updateTaskStatus:async(i,s,o)=>{let a=await r.getTask(i,n);if(!a)throw new bt(Ut.InvalidParams,`Task "${i}" not found - it may have been cleaned up`);if(Wv(a.status))throw new bt(Ut.InvalidParams,`Cannot update task "${i}" from terminal status "${a.status}" to "${s}". Terminal states (completed, failed, cancelled) cannot transition to other states.`);await r.updateTaskStatus(i,s,o,n);let c=await r.getTask(i,n);if(c){let u=A6.parse({method:"notifications/tasks/status",params:c});await this.notification(u),Wv(c.status)&&this._cleanupTaskProgressHandler(i)}},listTasks:i=>r.listTasks(i,n)}}};Qdr=Kxt(tOt(),1),$dr=Kxt(Pnr(),1);pTe=class{constructor(t){this._ajv=t??efr()}getValidator(t){var n;let r="$id"in t&&typeof t.$id=="string"?(n=this._ajv.getSchema(t.$id))!==null&&n!==void 0?n:this._ajv.compile(t):this._ajv.compile(t);return i=>r(i)?{valid:!0,data:i,errorMessage:void 0}:{valid:!1,data:void 0,errorMessage:this._ajv.errorsText(r.errors)}}},hTe=class{constructor(t){this._server=t}requestStream(t,n,r){return this._server.requestStream(t,n,r)}async getTask(t,n){return this._server.getTask({taskId:t},n)}async getTaskResult(t,n,r){return this._server.getTaskResult({taskId:t},n,r)}async listTasks(t,n){return this._server.listTasks(t?{cursor:t}:void 0,n)}async cancelTask(t,n){return this._server.cancelTask({taskId:t},n)}};mTe=class extends fTe{constructor(t,n){var r,i;super(n),this._serverInfo=t,this._loggingLevels=new Map,this.LOG_LEVEL_SEVERITY=new Map(w6.options.map((s,o)=>[s,o])),this.isMessageIgnored=(s,o)=>{let a=this._loggingLevels.get(o);return a?this.LOG_LEVEL_SEVERITY.get(s)<this.LOG_LEVEL_SEVERITY.get(a):!1},this._capabilities=(r=n?.capabilities)!==null&&r!==void 0?r:{},this._instructions=n?.instructions,this._jsonSchemaValidator=(i=n?.jsonSchemaValidator)!==null&&i!==void 0?i:new pTe,this.setRequestHandler(ENt,s=>this._oninitialize(s)),this.setNotificationHandler(bNt,()=>{var s;return(s=this.oninitialized)===null||s===void 0?void 0:s.call(this)}),this._capabilities.logging&&this.setRequestHandler(wNt,async(s,o)=>{var a;let c=o.sessionId||((a=o.requestInfo)===null||a===void 0?void 0:a.headers["mcp-session-id"])||void 0,{level:u}=s.params,l=w6.safeParse(u);return l.success&&this._loggingLevels.set(c,l.data),{}})}get experimental(){return this._experimental||(this._experimental={tasks:new hTe(this)}),this._experimental}registerCapabilities(t){if(this.transport)throw new Error("Cannot register capabilities after connecting to transport");this._capabilities=Xdr(this._capabilities,t)}setRequestHandler(t,n){var r,i,s;let o=NU(t),a=o?.method;if(!a)throw new Error("Schema is missing a method literal");let c;if(gp(a)){let l=a,d=(r=l._zod)===null||r===void 0?void 0:r.def;c=(i=d?.value)!==null&&i!==void 0?i:l.value}else{let l=a,d=l._def;c=(s=d?.value)!==null&&s!==void 0?s:l.value}if(typeof c!="string")throw new Error("Schema method literal must be a string");if(c==="tools/call"){let l=async(d,f)=>{let p=hU(R6,d);if(!p.success){let g=p.error instanceof Error?p.error.message:String(p.error);throw new bt(Ut.InvalidParams,`Invalid tools/call request: ${g}`)}let{params:h}=p.data,m=await Promise.resolve(n(d,f));if(h.task){let g=hU(z6,m);if(!g.success){let E=g.error instanceof Error?g.error.message:String(g.error);throw new bt(Ut.InvalidParams,`Invalid task creation result: ${E}`)}return g.data}let y=hU(JTe,m);if(!y.success){let g=y.error instanceof Error?y.error.message:String(y.error);throw new bt(Ut.InvalidParams,`Invalid tools/call result: ${g}`)}return y.data};return super.setRequestHandler(t,l)}return super.setRequestHandler(t,n)}assertCapabilityForMethod(t){var n,r,i;switch(t){case"sampling/createMessage":if(!(!((n=this._clientCapabilities)===null||n===void 0)&&n.sampling))throw new Error(`Client does not support sampling (required for ${t})`);break;case"elicitation/create":if(!(!((r=this._clientCapabilities)===null||r===void 0)&&r.elicitation))throw new Error(`Client does not support elicitation (required for ${t})`);break;case"roots/list":if(!(!((i=this._clientCapabilities)===null||i===void 0)&&i.roots))throw new Error(`Client does not support listing roots (required for ${t})`);break;case"ping":break}}assertNotificationCapability(t){var n,r;switch(t){case"notifications/message":if(!this._capabilities.logging)throw new Error(`Server does not support logging (required for ${t})`);break;case"notifications/resources/updated":case"notifications/resources/list_changed":if(!this._capabilities.resources)throw new Error(`Server does not support notifying about resources (required for ${t})`);break;case"notifications/tools/list_changed":if(!this._capabilities.tools)throw new Error(`Server does not support notifying of tool list changes (required for ${t})`);break;case"notifications/prompts/list_changed":if(!this._capabilities.prompts)throw new Error(`Server does not support notifying of prompt list changes (required for ${t})`);break;case"notifications/elicitation/complete":if(!(!((r=(n=this._clientCapabilities)===null||n===void 0?void 0:n.elicitation)===null||r===void 0)&&r.url))throw new Error(`Client does not support URL elicitation (required for ${t})`);break;case"notifications/cancelled":break;case"notifications/progress":break}}assertRequestHandlerCapability(t){if(this._capabilities)switch(t){case"completion/complete":if(!this._capabilities.completions)throw new Error(`Server does not support completions (required for ${t})`);break;case"logging/setLevel":if(!this._capabilities.logging)throw new Error(`Server does not support logging (required for ${t})`);break;case"prompts/get":case"prompts/list":if(!this._capabilities.prompts)throw new Error(`Server does not support prompts (required for ${t})`);break;case"resources/list":case"resources/templates/list":case"resources/read":if(!this._capabilities.resources)throw new Error(`Server does not support resources (required for ${t})`);break;case"tools/call":case"tools/list":if(!this._capabilities.tools)throw new Error(`Server does not support tools (required for ${t})`);break;case"tasks/get":case"tasks/list":case"tasks/result":case"tasks/cancel":if(!this._capabilities.tasks)throw new Error(`Server does not support tasks capability (required for ${t})`);break;case"ping":case"initialize":break}}assertTaskCapability(t){var n,r;nfr((r=(n=this._clientCapabilities)===null||n===void 0?void 0:n.tasks)===null||r===void 0?void 0:r.requests,t,"Client")}assertTaskHandlerCapability(t){var n;this._capabilities&&tfr((n=this._capabilities.tasks)===null||n===void 0?void 0:n.requests,t,"Server")}async _oninitialize(t){let n=t.params.protocolVersion;return this._clientCapabilities=t.params.capabilities,this._clientVersion=t.params.clientInfo,{protocolVersion:Cur.includes(n)?n:dNt,capabilities:this.getCapabilities(),serverInfo:this._serverInfo,...this._instructions&&{instructions:this._instructions}}}getClientCapabilities(){return this._clientCapabilities}getClientVersion(){return this._clientVersion}getCapabilities(){return this._capabilities}async ping(){return this.request({method:"ping"},DTe)}async createMessage(t,n){var r,i;if((t.tools||t.toolChoice)&&!(!((i=(r=this._clientCapabilities)===null||r===void 0?void 0:r.sampling)===null||i===void 0)&&i.tools))throw new Error("Client does not support sampling tools capability.");if(t.messages.length>0){let s=t.messages[t.messages.length-1],o=Array.isArray(s.content)?s.content:[s.content],a=o.some(d=>d.type==="tool_result"),c=t.messages.length>1?t.messages[t.messages.length-2]:void 0,u=c?Array.isArray(c.content)?c.content:[c.content]:[],l=u.some(d=>d.type==="tool_use");if(a){if(o.some(d=>d.type!=="tool_result"))throw new Error("The last message must contain only tool_result content if any is present");if(!l)throw new Error("tool_result blocks are not matching any tool_use from the previous message")}if(l){let d=new Set(u.filter(p=>p.type==="tool_use").map(p=>p.id)),f=new Set(o.filter(p=>p.type==="tool_result").map(p=>p.toolUseId));if(d.size!==f.size||![...d].every(p=>f.has(p)))throw new Error("ids of tool_result blocks and tool_use blocks from previous message do not match")}}return t.tools?this.request({method:"sampling/createMessage",params:t},INt,n):this.request({method:"sampling/createMessage",params:t},kNt,n)}async elicitInput(t,n){var r,i,s,o,a;switch((r=t.mode)!==null&&r!==void 0?r:"form"){case"url":{if(!(!((s=(i=this._clientCapabilities)===null||i===void 0?void 0:i.elicitation)===null||s===void 0)&&s.url))throw new Error("Client does not support url elicitation.");let u=t;return this.request({method:"elicitation/create",params:u},uTe,n)}case"form":{if(!(!((a=(o=this._clientCapabilities)===null||o===void 0?void 0:o.elicitation)===null||a===void 0)&&a.form))throw new Error("Client does not support form elicitation.");let u=t.mode==="form"?t:{...t,mode:"form"},l=await this.request({method:"elicitation/create",params:u},uTe,n);if(l.action==="accept"&&l.content&&u.requestedSchema)try{let f=this._jsonSchemaValidator.getValidator(u.requestedSchema)(l.content);if(!f.valid)throw new bt(Ut.InvalidParams,`Elicitation response content does not match requested schema: ${f.errorMessage}`)}catch(d){throw d instanceof bt?d:new bt(Ut.InternalError,`Error validating elicitation response: ${d instanceof Error?d.message:String(d)}`)}return l}}}createElicitationCompletionNotifier(t,n){var r,i;if(!(!((i=(r=this._clientCapabilities)===null||r===void 0?void 0:r.elicitation)===null||i===void 0)&&i.url))throw new Error("Client does not support URL elicitation (required for notifications/elicitation/complete)");return()=>this.notification({method:"notifications/elicitation/complete",params:{elicitationId:t}},n)}async listRoots(t,n){return this.request({method:"roots/list",params:t},xNt,n)}async sendLoggingMessage(t,n){if(this._capabilities.logging&&!this.isMessageIgnored(t.level,n))return this.notification({method:"notifications/message",params:t})}async sendResourceUpdated(t){return this.notification({method:"notifications/resources/updated",params:t})}async sendResourceListChanged(){return this.notification({method:"notifications/resources/list_changed"})}async sendToolListChanged(){return this.notification({method:"notifications/tools/list_changed"})}async sendPromptListChanged(){return this.notification({method:"notifications/prompts/list_changed"})}},LNt=Symbol.for("mcp.completable");(function(e){e.Completable="McpCompletable"})(Gxt||(Gxt={}));sfr=/^[A-Za-z0-9._-]{1,128}$/;gTe=class{constructor(t){this._mcpServer=t}registerToolTask(t,n,r){let i={taskSupport:"required",...n.execution};if(i.taskSupport==="forbidden")throw new Error(`Cannot register task-based tool '${t}' with taskSupport 'forbidden'. Use registerTool() instead.`);return this._mcpServer._createRegisteredTool(t,n.title,n.description,n.inputSchema,n.outputSchema,n.annotations,i,n._meta,r)}},yTe=class{constructor(t,n){this._registeredResources={},this._registeredResourceTemplates={},this._registeredTools={},this._registeredPrompts={},this._toolHandlersInitialized=!1,this._completionHandlerInitialized=!1,this._resourceHandlersInitialized=!1,this._promptHandlersInitialized=!1,this.server=new mTe(t,n)}get experimental(){return this._experimental||(this._experimental={tasks:new gTe(this)}),this._experimental}async connect(t){return await this.server.connect(t)}async close(){await this.server.close()}setToolRequestHandlers(){this._toolHandlersInitialized||(this.server.assertCanSetRequestHandler(JE(cTe)),this.server.assertCanSetRequestHandler(JE(R6)),this.server.registerCapabilities({tools:{listChanged:!0}}),this.server.setRequestHandler(cTe,()=>({tools:Object.entries(this._registeredTools).filter(([,t])=>t.enabled).map(([t,n])=>{let r={name:t,title:n.title,description:n.description,inputSchema:(()=>{let i=cU(n.inputSchema);return i?jxt(i,{strictUnions:!0,pipeStrategy:"input"}):cfr})(),annotations:n.annotations,execution:n.execution,_meta:n._meta};if(n.outputSchema){let i=cU(n.outputSchema);i&&(r.outputSchema=jxt(i,{strictUnions:!0,pipeStrategy:"output"}))}return r})})),this.server.setRequestHandler(R6,async(t,n)=>{var r;try{let i=this._registeredTools[t.params.name];if(!i)throw new bt(Ut.InvalidParams,`Tool ${t.params.name} not found`);if(!i.enabled)throw new bt(Ut.InvalidParams,`Tool ${t.params.name} disabled`);let s=!!t.params.task,o=(r=i.execution)===null||r===void 0?void 0:r.taskSupport,a="createTask"in i.handler;if((o==="required"||o==="optional")&&!a)throw new bt(Ut.InternalError,`Tool ${t.params.name} has taskSupport '${o}' but was not registered with registerToolTask`);if(o==="required"&&!s)throw new bt(Ut.MethodNotFound,`Tool ${t.params.name} requires task augmentation (taskSupport: 'required')`);if(o==="optional"&&!s&&a)return await this.handleAutomaticTaskPolling(i,t,n);let c=await this.validateToolInput(i,t.params.arguments,t.params.name),u=await this.executeToolHandler(i,c,n);return s||await this.validateToolOutput(i,u,t.params.name),u}catch(i){if(i instanceof bt&&i.code===Ut.UrlElicitationRequired)throw i;return this.createToolError(i instanceof Error?i.message:String(i))}}),this._toolHandlersInitialized=!0)}createToolError(t){return{content:[{type:"text",text:t}],isError:!0}}async validateToolInput(t,n,r){if(!t.inputSchema)return;let i=cU(t.inputSchema),s=i??t.inputSchema,o=await U_e(s,n);if(!o.success){let a="error"in o?o.error:"Unknown error",c=F_e(a);throw new bt(Ut.InvalidParams,`Input validation error: Invalid arguments for tool ${r}: ${c}`)}return o.data}async validateToolOutput(t,n,r){if(!t.outputSchema||!("content"in n)||n.isError)return;if(!n.structuredContent)throw new bt(Ut.InvalidParams,`Output validation error: Tool ${r} has an output schema but no structured content was provided`);let i=cU(t.outputSchema),s=await U_e(i,n.structuredContent);if(!s.success){let o="error"in s?s.error:"Unknown error",a=F_e(o);throw new bt(Ut.InvalidParams,`Output validation error: Invalid structured content for tool ${r}: ${a}`)}}async executeToolHandler(t,n,r){let i=t.handler;if("createTask"in i){if(!r.taskStore)throw new Error("No task store provided.");let o={...r,taskStore:r.taskStore};if(t.inputSchema){let a=i;return await Promise.resolve(a.createTask(n,o))}else{let a=i;return await Promise.resolve(a.createTask(o))}}if(t.inputSchema){let o=i;return await Promise.resolve(o(n,r))}else{let o=i;return await Promise.resolve(o(r))}}async handleAutomaticTaskPolling(t,n,r){var i;if(!r.taskStore)throw new Error("No task store provided for task-capable tool.");let s=await this.validateToolInput(t,n.params.arguments,n.params.name),o=t.handler,a={...r,taskStore:r.taskStore},c=s?await Promise.resolve(o.createTask(s,a)):await Promise.resolve(o.createTask(a)),u=c.task.taskId,l=c.task,d=(i=l.pollInterval)!==null&&i!==void 0?i:5e3;for(;l.status!=="completed"&&l.status!=="failed"&&l.status!=="cancelled";){await new Promise(p=>setTimeout(p,d));let f=await r.taskStore.getTask(u);if(!f)throw new bt(Ut.InternalError,`Task ${u} not found during polling`);l=f}return await r.taskStore.getTaskResult(u)}setCompletionRequestHandler(){this._completionHandlerInitialized||(this.server.assertCanSetRequestHandler(JE(lTe)),this.server.registerCapabilities({completions:{}}),this.server.setRequestHandler(lTe,async t=>{switch(t.params.ref.type){case"ref/prompt":return sdr(t),this.handlePromptCompletion(t,t.params.ref);case"ref/resource":return odr(t),this.handleResourceCompletion(t,t.params.ref);default:throw new bt(Ut.InvalidParams,`Invalid completion reference: ${t.params.ref}`)}}),this._completionHandlerInitialized=!0)}async handlePromptCompletion(t,n){let r=this._registeredPrompts[n.name];if(!r)throw new bt(Ut.InvalidParams,`Prompt ${n.name} not found`);if(!r.enabled)throw new bt(Ut.InvalidParams,`Prompt ${n.name} disabled`);if(!r.argsSchema)return uU;let i=NU(r.argsSchema),s=i?.[t.params.argument.name];if(!rfr(s))return uU;let o=ifr(s);if(!o)return uU;let a=await o(t.params.argument.value,t.params.context);return Wxt(a)}async handleResourceCompletion(t,n){let r=Object.values(this._registeredResourceTemplates).find(o=>o.resourceTemplate.uriTemplate.toString()===n.uri);if(!r){if(this._registeredResources[n.uri])return uU;throw new bt(Ut.InvalidParams,`Resource template ${t.params.ref.uri} not found`)}let i=r.resourceTemplate.completeCallback(t.params.argument.name);if(!i)return uU;let s=await i(t.params.argument.value,t.params.context);return Wxt(s)}setResourceRequestHandlers(){this._resourceHandlersInitialized||(this.server.assertCanSetRequestHandler(JE(rTe)),this.server.assertCanSetRequestHandler(JE(iTe)),this.server.assertCanSetRequestHandler(JE(sTe)),this.server.registerCapabilities({resources:{listChanged:!0}}),this.server.setRequestHandler(rTe,async(t,n)=>{let r=Object.entries(this._registeredResources).filter(([s,o])=>o.enabled).map(([s,o])=>({uri:s,name:o.name,...o.metadata})),i=[];for(let s of Object.values(this._registeredResourceTemplates)){if(!s.resourceTemplate.listCallback)continue;let o=await s.resourceTemplate.listCallback(n);for(let a of o.resources)i.push({...s.metadata,...a})}return{resources:[...r,...i]}}),this.server.setRequestHandler(iTe,async()=>({resourceTemplates:Object.entries(this._registeredResourceTemplates).map(([n,r])=>({name:n,uriTemplate:r.resourceTemplate.uriTemplate.toString(),...r.metadata}))})),this.server.setRequestHandler(sTe,async(t,n)=>{let r=new URL(t.params.uri),i=this._registeredResources[r.toString()];if(i){if(!i.enabled)throw new bt(Ut.InvalidParams,`Resource ${r} disabled`);return i.readCallback(r,n)}for(let s of Object.values(this._registeredResourceTemplates)){let o=s.resourceTemplate.uriTemplate.match(r.toString());if(o)return s.readCallback(r,o,n)}throw new bt(Ut.InvalidParams,`Resource ${r} not found`)}),this.setCompletionRequestHandler(),this._resourceHandlersInitialized=!0)}setPromptRequestHandlers(){this._promptHandlersInitialized||(this.server.assertCanSetRequestHandler(JE(oTe)),this.server.assertCanSetRequestHandler(JE(aTe)),this.server.registerCapabilities({prompts:{listChanged:!0}}),this.server.setRequestHandler(oTe,()=>({prompts:Object.entries(this._registeredPrompts).filter(([,t])=>t.enabled).map(([t,n])=>({name:t,title:n.title,description:n.description,arguments:n.argsSchema?lfr(n.argsSchema):void 0}))})),this.server.setRequestHandler(aTe,async(t,n)=>{let r=this._registeredPrompts[t.params.name];if(!r)throw new bt(Ut.InvalidParams,`Prompt ${t.params.name} not found`);if(!r.enabled)throw new bt(Ut.InvalidParams,`Prompt ${t.params.name} disabled`);if(r.argsSchema){let i=cU(r.argsSchema),s=await U_e(i,t.params.arguments);if(!s.success){let c="error"in s?s.error:"Unknown error",u=F_e(c);throw new bt(Ut.InvalidParams,`Invalid arguments for prompt ${t.params.name}: ${u}`)}let o=s.data,a=r.callback;return await Promise.resolve(a(o,n))}else{let i=r.callback;return await Promise.resolve(i(n))}}),this.setCompletionRequestHandler(),this._promptHandlersInitialized=!0)}resource(t,n,...r){let i;typeof r[0]=="object"&&(i=r.shift());let s=r[0];if(typeof n=="string"){if(this._registeredResources[n])throw new Error(`Resource ${n} is already registered`);let o=this._createRegisteredResource(t,void 0,n,i,s);return this.setResourceRequestHandlers(),this.sendResourceListChanged(),o}else{if(this._registeredResourceTemplates[t])throw new Error(`Resource template ${t} is already registered`);let o=this._createRegisteredResourceTemplate(t,void 0,n,i,s);return this.setResourceRequestHandlers(),this.sendResourceListChanged(),o}}registerResource(t,n,r,i){if(typeof n=="string"){if(this._registeredResources[n])throw new Error(`Resource ${n} is already registered`);let s=this._createRegisteredResource(t,r.title,n,r,i);return this.setResourceRequestHandlers(),this.sendResourceListChanged(),s}else{if(this._registeredResourceTemplates[t])throw new Error(`Resource template ${t} is already registered`);let s=this._createRegisteredResourceTemplate(t,r.title,n,r,i);return this.setResourceRequestHandlers(),this.sendResourceListChanged(),s}}_createRegisteredResource(t,n,r,i,s){let o={name:t,title:n,metadata:i,readCallback:s,enabled:!0,disable:()=>o.update({enabled:!1}),enable:()=>o.update({enabled:!0}),remove:()=>o.update({uri:null}),update:a=>{typeof a.uri<"u"&&a.uri!==r&&(delete this._registeredResources[r],a.uri&&(this._registeredResources[a.uri]=o)),typeof a.name<"u"&&(o.name=a.name),typeof a.title<"u"&&(o.title=a.title),typeof a.metadata<"u"&&(o.metadata=a.metadata),typeof a.callback<"u"&&(o.readCallback=a.callback),typeof a.enabled<"u"&&(o.enabled=a.enabled),this.sendResourceListChanged()}};return this._registeredResources[r]=o,o}_createRegisteredResourceTemplate(t,n,r,i,s){let o={resourceTemplate:r,title:n,metadata:i,readCallback:s,enabled:!0,disable:()=>o.update({enabled:!1}),enable:()=>o.update({enabled:!0}),remove:()=>o.update({name:null}),update:a=>{typeof a.name<"u"&&a.name!==t&&(delete this._registeredResourceTemplates[t],a.name&&(this._registeredResourceTemplates[a.name]=o)),typeof a.title<"u"&&(o.title=a.title),typeof a.template<"u"&&(o.resourceTemplate=a.template),typeof a.metadata<"u"&&(o.metadata=a.metadata),typeof a.callback<"u"&&(o.readCallback=a.callback),typeof a.enabled<"u"&&(o.enabled=a.enabled),this.sendResourceListChanged()}};return this._registeredResourceTemplates[t]=o,o}_createRegisteredPrompt(t,n,r,i,s){let o={title:n,description:r,argsSchema:i===void 0?void 0:pU(i),callback:s,enabled:!0,disable:()=>o.update({enabled:!1}),enable:()=>o.update({enabled:!0}),remove:()=>o.update({name:null}),update:a=>{typeof a.name<"u"&&a.name!==t&&(delete this._registeredPrompts[t],a.name&&(this._registeredPrompts[a.name]=o)),typeof a.title<"u"&&(o.title=a.title),typeof a.description<"u"&&(o.description=a.description),typeof a.argsSchema<"u"&&(o.argsSchema=pU(a.argsSchema)),typeof a.callback<"u"&&(o.callback=a.callback),typeof a.enabled<"u"&&(o.enabled=a.enabled),this.sendPromptListChanged()}};return this._registeredPrompts[t]=o,o}_createRegisteredTool(t,n,r,i,s,o,a,c,u){zxt(t);let l={title:n,description:r,inputSchema:Vxt(i),outputSchema:Vxt(s),annotations:o,execution:a,_meta:c,handler:u,enabled:!0,disable:()=>l.update({enabled:!1}),enable:()=>l.update({enabled:!0}),remove:()=>l.update({name:null}),update:d=>{typeof d.name<"u"&&d.name!==t&&(typeof d.name=="string"&&zxt(d.name),delete this._registeredTools[t],d.name&&(this._registeredTools[d.name]=l)),typeof d.title<"u"&&(l.title=d.title),typeof d.description<"u"&&(l.description=d.description),typeof d.paramsSchema<"u"&&(l.inputSchema=pU(d.paramsSchema)),typeof d.callback<"u"&&(l.handler=d.callback),typeof d.annotations<"u"&&(l.annotations=d.annotations),typeof d._meta<"u"&&(l._meta=d._meta),typeof d.enabled<"u"&&(l.enabled=d.enabled),this.sendToolListChanged()}};return this._registeredTools[t]=l,this.setToolRequestHandlers(),this.sendToolListChanged(),l}tool(t,...n){if(this._registeredTools[t])throw new Error(`Tool ${t} is already registered`);let r,i,s,o;if(typeof n[0]=="string"&&(r=n.shift()),n.length>1){let c=n[0];STe(c)?(i=n.shift(),n.length>1&&typeof n[0]=="object"&&n[0]!==null&&!STe(n[0])&&(o=n.shift())):typeof c=="object"&&c!==null&&(o=n.shift())}let a=n[0];return this._createRegisteredTool(t,void 0,r,i,s,o,{taskSupport:"forbidden"},void 0,a)}registerTool(t,n,r){if(this._registeredTools[t])throw new Error(`Tool ${t} is already registered`);let{title:i,description:s,inputSchema:o,outputSchema:a,annotations:c,_meta:u}=n;return this._createRegisteredTool(t,i,s,o,a,c,{taskSupport:"forbidden"},u,r)}prompt(t,...n){if(this._registeredPrompts[t])throw new Error(`Prompt ${t} is already registered`);let r;typeof n[0]=="string"&&(r=n.shift());let i;n.length>1&&(i=n.shift());let s=n[0],o=this._createRegisteredPrompt(t,void 0,r,i,s);return this.setPromptRequestHandlers(),this.sendPromptListChanged(),o}registerPrompt(t,n,r){if(this._registeredPrompts[t])throw new Error(`Prompt ${t} is already registered`);let{title:i,description:s,argsSchema:o}=n,a=this._createRegisteredPrompt(t,i,s,o,r);return this.setPromptRequestHandlers(),this.sendPromptListChanged(),a}isConnected(){return this.server.transport!==void 0}async sendLoggingMessage(t,n){return this.server.sendLoggingMessage(t,n)}sendResourceListChanged(){this.isConnected()&&this.server.sendResourceListChanged()}sendToolListChanged(){this.isConnected()&&this.server.sendToolListChanged()}sendPromptListChanged(){this.isConnected()&&this.server.sendPromptListChanged()}},cfr={type:"object",properties:{}};uU={completion:{values:[],hasMore:!1}}});var HNt={};Rr(HNt,{runRepairAgent:()=>yfr});import{existsSync as Jv,readdirSync as XTe,readFileSync as QTe}from"node:fs";import{join as ny}from"node:path";async function yfr(e){let t;try{t=(await Promise.resolve().then(()=>(jNt(),FNt))).query}catch{return{success:!1,summary:"Claude Agent SDK not available \u2014 mechanical repair applied, remaining issues need manual attention",fallbackUsed:!0}}let n=Sfr(e),r=Efr(e),i=12e4;try{let s=(async()=>{let c="";for await(let u of t({prompt:r,options:{model:"claude-haiku-4-5-20251001",cwd:e.intentDir,additionalDirectories:[e.studioDir],allowedTools:["Read","Write","Glob","Grep"],disallowedTools:["Bash","Agent","WebSearch","WebFetch","Edit"],permissionMode:"dontAsk",maxTurns:25,systemPrompt:n}}))u.type==="result"&&(c=u.result||"");return c})(),o=new Promise((c,u)=>setTimeout(()=>u(new Error("repair agent timed out")),i)),a=await Promise.race([s,o]);return{success:a.trim().length>0,summary:a||"Repair agent completed but produced no output",fallbackUsed:!1}}catch(s){return{success:!1,summary:`Repair agent failed: ${s instanceof Error?s.message:String(s)}`,fallbackUsed:!0}}}function Sfr(e){let t=bfr(e.studioDir);return`You are a H\xB7AI\xB7K\xB7U intent repair agent. Your single purpose is to fix metadata and state in H\xB7AI\xB7K\xB7U intent files that are in an inconsistent state after migration from a legacy system.
+Set the \`cycles\` parameter to \`"ref"\` to resolve cyclical schemas with defs.`);r.cycles==="ref"&&o(l);continue}if(d.count>1&&r.reused==="ref"){o(l);continue}}let a=(l,d)=>{let f=this.seen.get(l),p=f.def??f.schema,h={...p};if(f.ref===null)return;let m=f.ref;if(f.ref=null,m){a(m,d);let g=this.seen.get(m).schema;g.$ref&&d.target==="draft-7"?(p.allOf=p.allOf??[],p.allOf.push(g)):(Object.assign(p,g),Object.assign(p,h))}f.isParent||this.override({zodSchema:l,jsonSchema:p,path:f.path??[]})};for(let l of[...this.seen.entries()].reverse())a(l[0],{target:this.target});let c={};this.target==="draft-2020-12"?c.$schema="https://json-schema.org/draft/2020-12/schema":this.target==="draft-7"?c.$schema="http://json-schema.org/draft-07/schema#":console.warn(`Invalid target: ${this.target}`),Object.assign(c,i.def);let u=r.external?.defs??{};for(let l of this.seen.entries()){let 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this._taskStore.listTasks((i=n.params)===null||i===void 0?void 0:i.cursor,r.sessionId);return{tasks:s,nextCursor:o,_meta:{}}}catch(s){throw new Et(Ft.InvalidParams,`Failed to list tasks: ${s instanceof Error?s.message:String(s)}`)}}),this.setRequestHandler(Mlr,async(n,r)=>{try{let i=await this._taskStore.getTask(n.params.taskId,r.sessionId);if(!i)throw new Et(Ft.InvalidParams,`Task not found: ${n.params.taskId}`);if(Yv(i.status))throw new Et(Ft.InvalidParams,`Cannot cancel task in terminal status: ${i.status}`);await this._taskStore.updateTaskStatus(n.params.taskId,"cancelled","Client cancelled task execution.",r.sessionId),this._clearTaskQueue(n.params.taskId);let s=await this._taskStore.getTask(n.params.taskId,r.sessionId);if(!s)throw new Et(Ft.InvalidParams,`Task not found after cancellation: ${n.params.taskId}`);return{_meta:{},...s}}catch(i){throw i instanceof Et?i:new Et(Ft.InvalidRequest,`Failed to cancel task: ${i instanceof Error?i.message:String(i)}`)}}))}async _oncancel(t){let n=this._requestHandlerAbortControllers.get(t.params.requestId);n?.abort(t.params.reason)}_setupTimeout(t,n,r,i,s=!1){this._timeoutInfo.set(t,{timeoutId:setTimeout(i,n),startTime:Date.now(),timeout:n,maxTotalTimeout:r,resetTimeoutOnProgress:s,onTimeout:i})}_resetTimeout(t){let n=this._timeoutInfo.get(t);if(!n)return!1;let r=Date.now()-n.startTime;if(n.maxTotalTimeout&&r>=n.maxTotalTimeout)throw this._timeoutInfo.delete(t),Et.fromError(Ft.RequestTimeout,"Maximum total timeout exceeded",{maxTotalTimeout:n.maxTotalTimeout,totalElapsed:r});return clearTimeout(n.timeoutId),n.timeoutId=setTimeout(n.onTimeout,n.timeout),!0}_cleanupTimeout(t){let n=this._timeoutInfo.get(t);n&&(clearTimeout(n.timeoutId),this._timeoutInfo.delete(t))}async connect(t){var n,r,i;this._transport=t;let s=(n=this.transport)===null||n===void 0?void 0:n.onclose;this._transport.onclose=()=>{s?.(),this._onclose()};let o=(r=this.transport)===null||r===void 0?void 0:r.onerror;this._transport.onerror=c=>{o?.(c),this._onerror(c)};let a=(i=this._transport)===null||i===void 0?void 0:i.onmessage;this._transport.onmessage=(c,u)=>{a?.(c,u),A5(c)||blr(c)?this._onresponse(c):Xxt(c)?this._onrequest(c,u):Slr(c)?this._onnotification(c):this._onerror(new Error(`Unknown message type: ${JSON.stringify(c)}`))},await this._transport.start()}_onclose(){var t;let n=this._responseHandlers;this._responseHandlers=new Map,this._progressHandlers.clear(),this._taskProgressTokens.clear(),this._pendingDebouncedNotifications.clear();let r=Et.fromError(Ft.ConnectionClosed,"Connection closed");this._transport=void 0,(t=this.onclose)===null||t===void 0||t.call(this);for(let i of n.values())i(r)}_onerror(t){var n;(n=this.onerror)===null||n===void 0||n.call(this,t)}_onnotification(t){var n;let r=(n=this._notificationHandlers.get(t.method))!==null&&n!==void 0?n:this.fallbackNotificationHandler;r!==void 0&&Promise.resolve().then(()=>r(t)).catch(i=>this._onerror(new Error(`Uncaught error in notification handler: ${i}`)))}_onrequest(t,n){var r,i,s,o,a,c;let u=(r=this._requestHandlers.get(t.method))!==null&&r!==void 0?r:this.fallbackRequestHandler,l=this._transport,d=(o=(s=(i=t.params)===null||i===void 0?void 0:i._meta)===null||s===void 0?void 0:s[Jg])===null||o===void 0?void 0:o.taskId;if(u===void 0){let g={jsonrpc:"2.0",id:t.id,error:{code:Ft.MethodNotFound,message:"Method not found"}};d&&this._taskMessageQueue?this._enqueueTaskMessage(d,{type:"error",message:g,timestamp:Date.now()},l?.sessionId).catch(y=>this._onerror(new Error(`Failed to enqueue error response: ${y}`))):l?.send(g).catch(y=>this._onerror(new Error(`Failed to send an error response: ${y}`)));return}let f=new AbortController;this._requestHandlerAbortControllers.set(t.id,f);let p=(a=t.params)===null||a===void 0?void 0:a.task,h=this._taskStore?this.requestTaskStore(t,l?.sessionId):void 0,m={signal:f.signal,sessionId:l?.sessionId,_meta:(c=t.params)===null||c===void 0?void 0:c._meta,sendNotification:async g=>{let y={relatedRequestId:t.id};d&&(y.relatedTask={taskId:d}),await this.notification(g,y)},sendRequest:async(g,y,b)=>{var S,E;let _={...b,relatedRequestId:t.id};d&&!_.relatedTask&&(_.relatedTask={taskId:d});let T=(E=(S=_.relatedTask)===null||S===void 0?void 0:S.taskId)!==null&&E!==void 0?E:d;return T&&h&&await h.updateTaskStatus(T,"input_required"),await this.request(g,y,_)},authInfo:n?.authInfo,requestId:t.id,requestInfo:n?.requestInfo,taskId:d,taskStore:h,taskRequestedTtl:p?.ttl,closeSSEStream:n?.closeSSEStream,closeStandaloneSSEStream:n?.closeStandaloneSSEStream};Promise.resolve().then(()=>{p&&this.assertTaskHandlerCapability(t.method)}).then(()=>u(t,m)).then(async g=>{if(f.signal.aborted)return;let y={result:g,jsonrpc:"2.0",id:t.id};d&&this._taskMessageQueue?await this._enqueueTaskMessage(d,{type:"response",message:y,timestamp:Date.now()},l?.sessionId):await l?.send(y)},async g=>{var y;if(f.signal.aborted)return;let b={jsonrpc:"2.0",id:t.id,error:{code:Number.isSafeInteger(g.code)?g.code:Ft.InternalError,message:(y=g.message)!==null&&y!==void 0?y:"Internal error",...g.data!==void 0&&{data:g.data}}};d&&this._taskMessageQueue?await this._enqueueTaskMessage(d,{type:"error",message:b,timestamp:Date.now()},l?.sessionId):await l?.send(b)}).catch(g=>this._onerror(new Error(`Failed to send response: ${g}`))).finally(()=>{this._requestHandlerAbortControllers.delete(t.id)})}_onprogress(t){let{progressToken:n,...r}=t.params,i=Number(n),s=this._progressHandlers.get(i);if(!s){this._onerror(new Error(`Received a progress notification for an unknown token: ${JSON.stringify(t)}`));return}let o=this._responseHandlers.get(i),a=this._timeoutInfo.get(i);if(a&&o&&a.resetTimeoutOnProgress)try{this._resetTimeout(i)}catch(c){this._responseHandlers.delete(i),this._progressHandlers.delete(i),this._cleanupTimeout(i),o(c);return}s(r)}_onresponse(t){let n=Number(t.id),r=this._requestResolvers.get(n);if(r){if(this._requestResolvers.delete(n),A5(t))r(t);else{let o=new Et(t.error.code,t.error.message,t.error.data);r(o)}return}let i=this._responseHandlers.get(n);if(i===void 0){this._onerror(new Error(`Received a response for an unknown message ID: ${JSON.stringify(t)}`));return}this._responseHandlers.delete(n),this._cleanupTimeout(n);let s=!1;if(A5(t)&&t.result&&typeof t.result=="object"){let o=t.result;if(o.task&&typeof o.task=="object"){let a=o.task;typeof a.taskId=="string"&&(s=!0,this._taskProgressTokens.set(a.taskId,n))}}if(s||this._progressHandlers.delete(n),A5(t))i(t);else{let o=Et.fromError(t.error.code,t.error.message,t.error.data);i(o)}}get transport(){return this._transport}async close(){var t;await((t=this._transport)===null||t===void 0?void 0:t.close())}async*requestStream(t,n,r){var i,s,o,a;let{task:c}=r??{};if(!c){try{yield{type:"result",result:await this.request(t,n,r)}}catch(l){yield{type:"error",error:l instanceof Et?l:new Et(Ft.InternalError,String(l))}}return}let u;try{let l=await this.request(t,s8,r);if(l.task)u=l.task.taskId,yield{type:"taskCreated",task:l.task};else throw new Et(Ft.InternalError,"Task creation did not return a task");for(;;){let d=await this.getTask({taskId:u},r);if(yield{type:"taskStatus",task:d},Yv(d.status)){d.status==="completed"?yield{type:"result",result:await this.getTaskResult({taskId:u},n,r)}:d.status==="failed"?yield{type:"error",error:new Et(Ft.InternalError,`Task ${u} failed`)}:d.status==="cancelled"&&(yield{type:"error",error:new Et(Ft.InternalError,`Task ${u} was cancelled`)});return}if(d.status==="input_required"){yield{type:"result",result:await this.getTaskResult({taskId:u},n,r)};return}let f=(o=(i=d.pollInterval)!==null&&i!==void 0?i:(s=this._options)===null||s===void 0?void 0:s.defaultTaskPollInterval)!==null&&o!==void 0?o:1e3;await new Promise(p=>setTimeout(p,f)),(a=r?.signal)===null||a===void 0||a.throwIfAborted()}}catch(l){yield{type:"error",error:l instanceof Et?l:new Et(Ft.InternalError,String(l))}}}request(t,n,r){let{relatedRequestId:i,resumptionToken:s,onresumptiontoken:o,task:a,relatedTask:c}=r??{};return new Promise((u,l)=>{var d,f,p,h,m,g,y;let b=x=>{l(x)};if(!this._transport){b(new Error("Not connected"));return}if(((d=this._options)===null||d===void 0?void 0:d.enforceStrictCapabilities)===!0)try{this.assertCapabilityForMethod(t.method),a&&this.assertTaskCapability(t.method)}catch(x){b(x);return}(f=r?.signal)===null||f===void 0||f.throwIfAborted();let S=this._requestMessageId++,E={...t,jsonrpc:"2.0",id:S};r?.onprogress&&(this._progressHandlers.set(S,r.onprogress),E.params={...t.params,_meta:{...((p=t.params)===null||p===void 0?void 0:p._meta)||{},progressToken:S}}),a&&(E.params={...E.params,task:a}),c&&(E.params={...E.params,_meta:{...((h=E.params)===null||h===void 0?void 0:h._meta)||{},[Jg]:c}});let _=x=>{var k;this._responseHandlers.delete(S),this._progressHandlers.delete(S),this._cleanupTimeout(S),(k=this._transport)===null||k===void 0||k.send({jsonrpc:"2.0",method:"notifications/cancelled",params:{requestId:S,reason:String(x)}},{relatedRequestId:i,resumptionToken:s,onresumptiontoken:o}).catch(N=>this._onerror(new Error(`Failed to send cancellation: ${N}`)));let P=x instanceof Et?x:new Et(Ft.RequestTimeout,String(x));l(P)};this._responseHandlers.set(S,x=>{var k;if(!(!((k=r?.signal)===null||k===void 0)&&k.aborted)){if(x instanceof Error)return l(x);try{let P=kU(n,x.result);P.success?u(P.data):l(P.error)}catch(P){l(P)}}}),(m=r?.signal)===null||m===void 0||m.addEventListener("abort",()=>{var x;_((x=r?.signal)===null||x===void 0?void 0:x.reason)});let T=(g=r?.timeout)!==null&&g!==void 0?g:Nfr,R=()=>_(Et.fromError(Ft.RequestTimeout,"Request timed out",{timeout:T}));this._setupTimeout(S,T,r?.maxTotalTimeout,R,(y=r?.resetTimeoutOnProgress)!==null&&y!==void 0?y:!1);let A=c?.taskId;if(A){let x=k=>{let P=this._responseHandlers.get(S);P?P(k):this._onerror(new Error(`Response handler missing for side-channeled request ${S}`))};this._requestResolvers.set(S,x),this._enqueueTaskMessage(A,{type:"request",message:E,timestamp:Date.now()}).catch(k=>{this._cleanupTimeout(S),l(k)})}else this._transport.send(E,{relatedRequestId:i,resumptionToken:s,onresumptiontoken:o}).catch(x=>{this._cleanupTimeout(S),l(x)})})}async getTask(t,n){return this.request({method:"tasks/get",params:t},XTe,n)}async getTaskResult(t,n,r){return this.request({method:"tasks/result",params:t},n,r)}async listTasks(t,n){return this.request({method:"tasks/list",params:t},eve,n)}async cancelTask(t,n){return this.request({method:"tasks/cancel",params:t},Dlr,n)}async notification(t,n){var r,i,s,o,a;if(!this._transport)throw new Error("Not connected");this.assertNotificationCapability(t.method);let c=(r=n?.relatedTask)===null||r===void 0?void 0:r.taskId;if(c){let f={...t,jsonrpc:"2.0",params:{...t.params,_meta:{...((i=t.params)===null||i===void 0?void 0:i._meta)||{},[Jg]:n.relatedTask}}};await this._enqueueTaskMessage(c,{type:"notification",message:f,timestamp:Date.now()});return}if(((o=(s=this._options)===null||s===void 0?void 0:s.debouncedNotificationMethods)!==null&&o!==void 0?o:[]).includes(t.method)&&!t.params&&!n?.relatedRequestId&&!n?.relatedTask){if(this._pendingDebouncedNotifications.has(t.method))return;this._pendingDebouncedNotifications.add(t.method),Promise.resolve().then(()=>{var f,p;if(this._pendingDebouncedNotifications.delete(t.method),!this._transport)return;let h={...t,jsonrpc:"2.0"};n?.relatedTask&&(h={...h,params:{...h.params,_meta:{...((f=h.params)===null||f===void 0?void 0:f._meta)||{},[Jg]:n.relatedTask}}}),(p=this._transport)===null||p===void 0||p.send(h,n).catch(m=>this._onerror(m))});return}let d={...t,jsonrpc:"2.0"};n?.relatedTask&&(d={...d,params:{...d.params,_meta:{...((a=d.params)===null||a===void 0?void 0:a._meta)||{},[Jg]:n.relatedTask}}}),await this._transport.send(d,n)}setRequestHandler(t,n){let r=nOt(t);this.assertRequestHandlerCapability(r),this._requestHandlers.set(r,(i,s)=>{let o=rOt(t,i);return Promise.resolve(n(o,s))})}removeRequestHandler(t){this._requestHandlers.delete(t)}assertCanSetRequestHandler(t){if(this._requestHandlers.has(t))throw new Error(`A request handler for ${t} already exists, which would be overridden`)}setNotificationHandler(t,n){let r=nOt(t);this._notificationHandlers.set(r,i=>{let s=rOt(t,i);return Promise.resolve(n(s))})}removeNotificationHandler(t){this._notificationHandlers.delete(t)}_cleanupTaskProgressHandler(t){let n=this._taskProgressTokens.get(t);n!==void 0&&(this._progressHandlers.delete(n),this._taskProgressTokens.delete(t))}async _enqueueTaskMessage(t,n,r){var i;if(!this._taskStore||!this._taskMessageQueue)throw new Error("Cannot enqueue task message: taskStore and taskMessageQueue are not configured");let s=(i=this._options)===null||i===void 0?void 0:i.maxTaskQueueSize;await this._taskMessageQueue.enqueue(t,n,r,s)}async _clearTaskQueue(t,n){if(this._taskMessageQueue){let r=await this._taskMessageQueue.dequeueAll(t,n);for(let i of r)if(i.type==="request"&&Xxt(i.message)){let s=i.message.id,o=this._requestResolvers.get(s);o?(o(new Et(Ft.InternalError,"Task cancelled or completed")),this._requestResolvers.delete(s)):this._onerror(new Error(`Resolver missing for request ${s} during task ${t} cleanup`))}}}async _waitForTaskUpdate(t,n){var r,i,s;let o=(i=(r=this._options)===null||r===void 0?void 0:r.defaultTaskPollInterval)!==null&&i!==void 0?i:1e3;try{let a=await((s=this._taskStore)===null||s===void 0?void 0:s.getTask(t));a?.pollInterval&&(o=a.pollInterval)}catch{}return new Promise((a,c)=>{if(n.aborted){c(new Et(Ft.InvalidRequest,"Request cancelled"));return}let u=setTimeout(a,o);n.addEventListener("abort",()=>{clearTimeout(u),c(new Et(Ft.InvalidRequest,"Request cancelled"))},{once:!0})})}requestTaskStore(t,n){let r=this._taskStore;if(!r)throw new Error("No task store configured");return{createTask:async i=>{if(!t)throw new Error("No request provided");return await r.createTask(i,t.id,{method:t.method,params:t.params},n)},getTask:async i=>{let s=await r.getTask(i,n);if(!s)throw new Et(Ft.InvalidParams,"Failed to retrieve task: Task not found");return s},storeTaskResult:async(i,s,o)=>{await r.storeTaskResult(i,s,o,n);let a=await r.getTask(i,n);if(a){let c=j5.parse({method:"notifications/tasks/status",params:a});await this.notification(c),Yv(a.status)&&this._cleanupTaskProgressHandler(i)}},getTaskResult:i=>r.getTaskResult(i,n),updateTaskStatus:async(i,s,o)=>{let a=await r.getTask(i,n);if(!a)throw new Et(Ft.InvalidParams,`Task "${i}" not found - it may have been cleaned up`);if(Yv(a.status))throw new Et(Ft.InvalidParams,`Cannot update task "${i}" from terminal status "${a.status}" to "${s}". Terminal states (completed, failed, cancelled) cannot transition to other states.`);await r.updateTaskStatus(i,s,o,n);let c=await r.getTask(i,n);if(c){let u=j5.parse({method:"notifications/tasks/status",params:c});await this.notification(u),Yv(c.status)&&this._cleanupTaskProgressHandler(i)}},listTasks:i=>r.listTasks(i,n)}}};Mfr=uOt(yOt(),1),Dfr=uOt(hrr(),1);RTe=class{constructor(t){this._ajv=t??Lfr()}getValidator(t){var n;let r="$id"in t&&typeof t.$id=="string"?(n=this._ajv.getSchema(t.$id))!==null&&n!==void 0?n:this._ajv.compile(t):this._ajv.compile(t);return i=>r(i)?{valid:!0,data:i,errorMessage:void 0}:{valid:!1,data:void 0,errorMessage:this._ajv.errorsText(r.errors)}}},ATe=class{constructor(t){this._server=t}requestStream(t,n,r){return this._server.requestStream(t,n,r)}async getTask(t,n){return this._server.getTask({taskId:t},n)}async getTaskResult(t,n,r){return this._server.getTaskResult({taskId:t},n,r)}async listTasks(t,n){return this._server.listTasks(t?{cursor:t}:void 0,n)}async cancelTask(t,n){return this._server.cancelTask({taskId:t},n)}};wTe=class extends vTe{constructor(t,n){var r,i;super(n),this._serverInfo=t,this._loggingLevels=new Map,this.LOG_LEVEL_SEVERITY=new Map(q5.options.map((s,o)=>[s,o])),this.isMessageIgnored=(s,o)=>{let a=this._loggingLevels.get(o);return a?this.LOG_LEVEL_SEVERITY.get(s)<this.LOG_LEVEL_SEVERITY.get(a):!1},this._capabilities=(r=n?.capabilities)!==null&&r!==void 0?r:{},this._instructions=n?.instructions,this._jsonSchemaValidator=(i=n?.jsonSchemaValidator)!==null&&i!==void 0?i:new RTe,this.setRequestHandler(DPt,s=>this._oninitialize(s)),this.setNotificationHandler(LPt,()=>{var s;return(s=this.oninitialized)===null||s===void 0?void 0:s.call(this)}),this._capabilities.logging&&this.setRequestHandler(BPt,async(s,o)=>{var a;let c=o.sessionId||((a=o.requestInfo)===null||a===void 0?void 0:a.headers["mcp-session-id"])||void 0,{level:u}=s.params,l=q5.safeParse(u);return l.success&&this._loggingLevels.set(c,l.data),{}})}get experimental(){return this._experimental||(this._experimental={tasks:new ATe(this)}),this._experimental}registerCapabilities(t){if(this.transport)throw new Error("Cannot register capabilities after connecting to transport");this._capabilities=Cfr(this._capabilities,t)}setRequestHandler(t,n){var r,i,s;let o=GU(t),a=o?.method;if(!a)throw new Error("Schema is missing a method literal");let c;if(yp(a)){let l=a,d=(r=l._zod)===null||r===void 0?void 0:r.def;c=(i=d?.value)!==null&&i!==void 0?i:l.value}else{let l=a,d=l._def;c=(s=d?.value)!==null&&s!==void 0?s:l.value}if(typeof c!="string")throw new Error("Schema method literal must be a string");if(c==="tools/call"){let l=async(d,f)=>{let p=kU(H5,d);if(!p.success){let y=p.error instanceof Error?p.error.message:String(p.error);throw new Et(Ft.InvalidParams,`Invalid tools/call request: ${y}`)}let{params:h}=p.data,m=await Promise.resolve(n(d,f));if(h.task){let y=kU(s8,m);if(!y.success){let b=y.error instanceof Error?y.error.message:String(y.error);throw new Et(Ft.InvalidParams,`Invalid task creation result: ${b}`)}return y.data}let g=kU(ave,m);if(!g.success){let y=g.error instanceof Error?g.error.message:String(g.error);throw new Et(Ft.InvalidParams,`Invalid tools/call result: ${y}`)}return g.data};return super.setRequestHandler(t,l)}return super.setRequestHandler(t,n)}assertCapabilityForMethod(t){var n,r,i;switch(t){case"sampling/createMessage":if(!(!((n=this._clientCapabilities)===null||n===void 0)&&n.sampling))throw new Error(`Client does not support sampling (required for ${t})`);break;case"elicitation/create":if(!(!((r=this._clientCapabilities)===null||r===void 0)&&r.elicitation))throw new Error(`Client does not support elicitation (required for ${t})`);break;case"roots/list":if(!(!((i=this._clientCapabilities)===null||i===void 0)&&i.roots))throw new Error(`Client does not support listing roots (required for ${t})`);break;case"ping":break}}assertNotificationCapability(t){var n,r;switch(t){case"notifications/message":if(!this._capabilities.logging)throw new Error(`Server does not support logging (required for ${t})`);break;case"notifications/resources/updated":case"notifications/resources/list_changed":if(!this._capabilities.resources)throw new Error(`Server does not support notifying about resources (required for ${t})`);break;case"notifications/tools/list_changed":if(!this._capabilities.tools)throw new Error(`Server does not support notifying of tool list changes (required for ${t})`);break;case"notifications/prompts/list_changed":if(!this._capabilities.prompts)throw new Error(`Server does not support notifying of prompt list changes (required for ${t})`);break;case"notifications/elicitation/complete":if(!(!((r=(n=this._clientCapabilities)===null||n===void 0?void 0:n.elicitation)===null||r===void 0)&&r.url))throw new Error(`Client does not support URL elicitation (required for ${t})`);break;case"notifications/cancelled":break;case"notifications/progress":break}}assertRequestHandlerCapability(t){if(this._capabilities)switch(t){case"completion/complete":if(!this._capabilities.completions)throw new Error(`Server does not support completions (required for ${t})`);break;case"logging/setLevel":if(!this._capabilities.logging)throw new Error(`Server does not support logging (required for ${t})`);break;case"prompts/get":case"prompts/list":if(!this._capabilities.prompts)throw new Error(`Server does not support prompts (required for ${t})`);break;case"resources/list":case"resources/templates/list":case"resources/read":if(!this._capabilities.resources)throw new Error(`Server does not support resources (required for ${t})`);break;case"tools/call":case"tools/list":if(!this._capabilities.tools)throw new Error(`Server does not support tools (required for ${t})`);break;case"tasks/get":case"tasks/list":case"tasks/result":case"tasks/cancel":if(!this._capabilities.tasks)throw new Error(`Server does not support tasks capability (required for ${t})`);break;case"ping":case"initialize":break}}assertTaskCapability(t){var n,r;Ffr((r=(n=this._clientCapabilities)===null||n===void 0?void 0:n.tasks)===null||r===void 0?void 0:r.requests,t,"Client")}assertTaskHandlerCapability(t){var n;this._capabilities&&Ufr((n=this._capabilities.tasks)===null||n===void 0?void 0:n.requests,t,"Server")}async _oninitialize(t){let n=t.params.protocolVersion;return this._clientCapabilities=t.params.capabilities,this._clientVersion=t.params.clientInfo,{protocolVersion:mlr.includes(n)?n:kPt,capabilities:this.getCapabilities(),serverInfo:this._serverInfo,...this._instructions&&{instructions:this._instructions}}}getClientCapabilities(){return this._clientCapabilities}getClientVersion(){return this._clientVersion}getCapabilities(){return this._capabilities}async ping(){return this.request({method:"ping"},WTe)}async createMessage(t,n){var r,i;if((t.tools||t.toolChoice)&&!(!((i=(r=this._clientCapabilities)===null||r===void 0?void 0:r.sampling)===null||i===void 0)&&i.tools))throw new Error("Client does not support sampling tools capability.");if(t.messages.length>0){let s=t.messages[t.messages.length-1],o=Array.isArray(s.content)?s.content:[s.content],a=o.some(d=>d.type==="tool_result"),c=t.messages.length>1?t.messages[t.messages.length-2]:void 0,u=c?Array.isArray(c.content)?c.content:[c.content]:[],l=u.some(d=>d.type==="tool_use");if(a){if(o.some(d=>d.type!=="tool_result"))throw new Error("The last message must contain only tool_result content if any is present");if(!l)throw new Error("tool_result blocks are not matching any tool_use from the previous message")}if(l){let d=new Set(u.filter(p=>p.type==="tool_use").map(p=>p.id)),f=new Set(o.filter(p=>p.type==="tool_result").map(p=>p.toolUseId));if(d.size!==f.size||![...d].every(p=>f.has(p)))throw new Error("ids of tool_result blocks and tool_use blocks from previous message do not match")}}return t.tools?this.request({method:"sampling/createMessage",params:t},GPt,n):this.request({method:"sampling/createMessage",params:t},zPt,n)}async elicitInput(t,n){var r,i,s,o,a;switch((r=t.mode)!==null&&r!==void 0?r:"form"){case"url":{if(!(!((s=(i=this._clientCapabilities)===null||i===void 0?void 0:i.elicitation)===null||s===void 0)&&s.url))throw new Error("Client does not support url elicitation.");let u=t;return this.request({method:"elicitation/create",params:u},ETe,n)}case"form":{if(!(!((a=(o=this._clientCapabilities)===null||o===void 0?void 0:o.elicitation)===null||a===void 0)&&a.form))throw new Error("Client does not support form elicitation.");let u=t.mode==="form"?t:{...t,mode:"form"},l=await this.request({method:"elicitation/create",params:u},ETe,n);if(l.action==="accept"&&l.content&&u.requestedSchema)try{let f=this._jsonSchemaValidator.getValidator(u.requestedSchema)(l.content);if(!f.valid)throw new Et(Ft.InvalidParams,`Elicitation response content does not match requested schema: ${f.errorMessage}`)}catch(d){throw d instanceof Et?d:new Et(Ft.InternalError,`Error validating elicitation response: ${d instanceof Error?d.message:String(d)}`)}return l}}}createElicitationCompletionNotifier(t,n){var r,i;if(!(!((i=(r=this._clientCapabilities)===null||r===void 0?void 0:r.elicitation)===null||i===void 0)&&i.url))throw new Error("Client does not support URL elicitation (required for notifications/elicitation/complete)");return()=>this.notification({method:"notifications/elicitation/complete",params:{elicitationId:t}},n)}async listRoots(t,n){return this.request({method:"roots/list",params:t},VPt,n)}async sendLoggingMessage(t,n){if(this._capabilities.logging&&!this.isMessageIgnored(t.level,n))return this.notification({method:"notifications/message",params:t})}async sendResourceUpdated(t){return this.notification({method:"notifications/resources/updated",params:t})}async sendResourceListChanged(){return this.notification({method:"notifications/resources/list_changed"})}async sendToolListChanged(){return this.notification({method:"notifications/tools/list_changed"})}async sendPromptListChanged(){return this.notification({method:"notifications/prompts/list_changed"})}},QPt=Symbol.for("mcp.completable");(function(e){e.Completable="McpCompletable"})(sOt||(sOt={}));qfr=/^[A-Za-z0-9._-]{1,128}$/;kTe=class{constructor(t){this._mcpServer=t}registerToolTask(t,n,r){let i={taskSupport:"required",...n.execution};if(i.taskSupport==="forbidden")throw new Error(`Cannot register task-based tool '${t}' with taskSupport 'forbidden'. Use registerTool() instead.`);return this._mcpServer._createRegisteredTool(t,n.title,n.description,n.inputSchema,n.outputSchema,n.annotations,i,n._meta,r)}},ITe=class{constructor(t,n){this._registeredResources={},this._registeredResourceTemplates={},this._registeredTools={},this._registeredPrompts={},this._toolHandlersInitialized=!1,this._completionHandlerInitialized=!1,this._resourceHandlersInitialized=!1,this._promptHandlersInitialized=!1,this.server=new wTe(t,n)}get experimental(){return this._experimental||(this._experimental={tasks:new kTe(this)}),this._experimental}async connect(t){return await this.server.connect(t)}async close(){await this.server.close()}setToolRequestHandlers(){this._toolHandlersInitialized||(this.server.assertCanSetRequestHandler($b(bTe)),this.server.assertCanSetRequestHandler($b(H5)),this.server.registerCapabilities({tools:{listChanged:!0}}),this.server.setRequestHandler(bTe,()=>({tools:Object.entries(this._registeredTools).filter(([,t])=>t.enabled).map(([t,n])=>{let r={name:t,title:n.title,description:n.description,inputSchema:(()=>{let i=_U(n.inputSchema);return i?tOt(i,{strictUnions:!0,pipeStrategy:"input"}):Gfr})(),annotations:n.annotations,execution:n.execution,_meta:n._meta};if(n.outputSchema){let i=_U(n.outputSchema);i&&(r.outputSchema=tOt(i,{strictUnions:!0,pipeStrategy:"output"}))}return r})})),this.server.setRequestHandler(H5,async(t,n)=>{var r;try{let i=this._registeredTools[t.params.name];if(!i)throw new Et(Ft.InvalidParams,`Tool ${t.params.name} not found`);if(!i.enabled)throw new Et(Ft.InvalidParams,`Tool ${t.params.name} disabled`);let s=!!t.params.task,o=(r=i.execution)===null||r===void 0?void 0:r.taskSupport,a="createTask"in i.handler;if((o==="required"||o==="optional")&&!a)throw new Et(Ft.InternalError,`Tool ${t.params.name} has taskSupport '${o}' but was not registered with registerToolTask`);if(o==="required"&&!s)throw new Et(Ft.MethodNotFound,`Tool ${t.params.name} requires task augmentation (taskSupport: 'required')`);if(o==="optional"&&!s&&a)return await this.handleAutomaticTaskPolling(i,t,n);let c=await this.validateToolInput(i,t.params.arguments,t.params.name),u=await this.executeToolHandler(i,c,n);return s||await this.validateToolOutput(i,u,t.params.name),u}catch(i){if(i instanceof Et&&i.code===Ft.UrlElicitationRequired)throw i;return this.createToolError(i instanceof Error?i.message:String(i))}}),this._toolHandlersInitialized=!0)}createToolError(t){return{content:[{type:"text",text:t}],isError:!0}}async validateToolInput(t,n,r){if(!t.inputSchema)return;let i=_U(t.inputSchema),s=i??t.inputSchema,o=await Y_e(s,n);if(!o.success){let a="error"in o?o.error:"Unknown error",c=Z_e(a);throw new Et(Ft.InvalidParams,`Input validation error: Invalid arguments for tool ${r}: ${c}`)}return o.data}async validateToolOutput(t,n,r){if(!t.outputSchema||!("content"in n)||n.isError)return;if(!n.structuredContent)throw new Et(Ft.InvalidParams,`Output validation error: Tool ${r} has an output schema but no structured content was provided`);let i=_U(t.outputSchema),s=await Y_e(i,n.structuredContent);if(!s.success){let o="error"in s?s.error:"Unknown error",a=Z_e(o);throw new Et(Ft.InvalidParams,`Output validation error: Invalid structured content for tool ${r}: ${a}`)}}async executeToolHandler(t,n,r){let i=t.handler;if("createTask"in i){if(!r.taskStore)throw new Error("No task store provided.");let o={...r,taskStore:r.taskStore};if(t.inputSchema){let a=i;return await Promise.resolve(a.createTask(n,o))}else{let a=i;return await Promise.resolve(a.createTask(o))}}if(t.inputSchema){let o=i;return await Promise.resolve(o(n,r))}else{let o=i;return await Promise.resolve(o(r))}}async handleAutomaticTaskPolling(t,n,r){var i;if(!r.taskStore)throw new Error("No task store provided for task-capable tool.");let s=await this.validateToolInput(t,n.params.arguments,n.params.name),o=t.handler,a={...r,taskStore:r.taskStore},c=s?await Promise.resolve(o.createTask(s,a)):await Promise.resolve(o.createTask(a)),u=c.task.taskId,l=c.task,d=(i=l.pollInterval)!==null&&i!==void 0?i:5e3;for(;l.status!=="completed"&&l.status!=="failed"&&l.status!=="cancelled";){await new Promise(p=>setTimeout(p,d));let f=await r.taskStore.getTask(u);if(!f)throw new Et(Ft.InternalError,`Task ${u} not found during polling`);l=f}return await r.taskStore.getTaskResult(u)}setCompletionRequestHandler(){this._completionHandlerInitialized||(this.server.assertCanSetRequestHandler($b(_Te)),this.server.registerCapabilities({completions:{}}),this.server.setRequestHandler(_Te,async t=>{switch(t.params.ref.type){case"ref/prompt":return qdr(t),this.handlePromptCompletion(t,t.params.ref);case"ref/resource":return Bdr(t),this.handleResourceCompletion(t,t.params.ref);default:throw new Et(Ft.InvalidParams,`Invalid completion reference: ${t.params.ref}`)}}),this._completionHandlerInitialized=!0)}async handlePromptCompletion(t,n){let r=this._registeredPrompts[n.name];if(!r)throw new Et(Ft.InvalidParams,`Prompt ${n.name} not found`);if(!r.enabled)throw new Et(Ft.InvalidParams,`Prompt ${n.name} disabled`);if(!r.argsSchema)return TU;let i=GU(r.argsSchema),s=i?.[t.params.argument.name];if(!jfr(s))return TU;let o=Hfr(s);if(!o)return TU;let a=await o(t.params.argument.value,t.params.context);return cOt(a)}async handleResourceCompletion(t,n){let r=Object.values(this._registeredResourceTemplates).find(o=>o.resourceTemplate.uriTemplate.toString()===n.uri);if(!r){if(this._registeredResources[n.uri])return TU;throw new Et(Ft.InvalidParams,`Resource template ${t.params.ref.uri} not found`)}let i=r.resourceTemplate.completeCallback(t.params.argument.name);if(!i)return TU;let s=await i(t.params.argument.value,t.params.context);return cOt(s)}setResourceRequestHandlers(){this._resourceHandlersInitialized||(this.server.assertCanSetRequestHandler($b(hTe)),this.server.assertCanSetRequestHandler($b(mTe)),this.server.assertCanSetRequestHandler($b(gTe)),this.server.registerCapabilities({resources:{listChanged:!0}}),this.server.setRequestHandler(hTe,async(t,n)=>{let r=Object.entries(this._registeredResources).filter(([s,o])=>o.enabled).map(([s,o])=>({uri:s,name:o.name,...o.metadata})),i=[];for(let s of Object.values(this._registeredResourceTemplates)){if(!s.resourceTemplate.listCallback)continue;let o=await s.resourceTemplate.listCallback(n);for(let a of o.resources)i.push({...s.metadata,...a})}return{resources:[...r,...i]}}),this.server.setRequestHandler(mTe,async()=>({resourceTemplates:Object.entries(this._registeredResourceTemplates).map(([n,r])=>({name:n,uriTemplate:r.resourceTemplate.uriTemplate.toString(),...r.metadata}))})),this.server.setRequestHandler(gTe,async(t,n)=>{let r=new URL(t.params.uri),i=this._registeredResources[r.toString()];if(i){if(!i.enabled)throw new Et(Ft.InvalidParams,`Resource ${r} disabled`);return i.readCallback(r,n)}for(let s of Object.values(this._registeredResourceTemplates)){let o=s.resourceTemplate.uriTemplate.match(r.toString());if(o)return s.readCallback(r,o,n)}throw new Et(Ft.InvalidParams,`Resource ${r} not found`)}),this.setCompletionRequestHandler(),this._resourceHandlersInitialized=!0)}setPromptRequestHandlers(){this._promptHandlersInitialized||(this.server.assertCanSetRequestHandler($b(yTe)),this.server.assertCanSetRequestHandler($b(STe)),this.server.registerCapabilities({prompts:{listChanged:!0}}),this.server.setRequestHandler(yTe,()=>({prompts:Object.entries(this._registeredPrompts).filter(([,t])=>t.enabled).map(([t,n])=>({name:t,title:n.title,description:n.description,arguments:n.argsSchema?Wfr(n.argsSchema):void 0}))})),this.server.setRequestHandler(STe,async(t,n)=>{let r=this._registeredPrompts[t.params.name];if(!r)throw new Et(Ft.InvalidParams,`Prompt ${t.params.name} not found`);if(!r.enabled)throw new Et(Ft.InvalidParams,`Prompt ${t.params.name} disabled`);if(r.argsSchema){let i=_U(r.argsSchema),s=await Y_e(i,t.params.arguments);if(!s.success){let c="error"in s?s.error:"Unknown error",u=Z_e(c);throw new Et(Ft.InvalidParams,`Invalid arguments for prompt ${t.params.name}: ${u}`)}let o=s.data,a=r.callback;return await Promise.resolve(a(o,n))}else{let i=r.callback;return await Promise.resolve(i(n))}}),this.setCompletionRequestHandler(),this._promptHandlersInitialized=!0)}resource(t,n,...r){let i;typeof r[0]=="object"&&(i=r.shift());let s=r[0];if(typeof n=="string"){if(this._registeredResources[n])throw new Error(`Resource ${n} is already registered`);let o=this._createRegisteredResource(t,void 0,n,i,s);return this.setResourceRequestHandlers(),this.sendResourceListChanged(),o}else{if(this._registeredResourceTemplates[t])throw new Error(`Resource template ${t} is already registered`);let o=this._createRegisteredResourceTemplate(t,void 0,n,i,s);return this.setResourceRequestHandlers(),this.sendResourceListChanged(),o}}registerResource(t,n,r,i){if(typeof n=="string"){if(this._registeredResources[n])throw new Error(`Resource ${n} is already registered`);let s=this._createRegisteredResource(t,r.title,n,r,i);return this.setResourceRequestHandlers(),this.sendResourceListChanged(),s}else{if(this._registeredResourceTemplates[t])throw new Error(`Resource template ${t} is already registered`);let s=this._createRegisteredResourceTemplate(t,r.title,n,r,i);return this.setResourceRequestHandlers(),this.sendResourceListChanged(),s}}_createRegisteredResource(t,n,r,i,s){let o={name:t,title:n,metadata:i,readCallback:s,enabled:!0,disable:()=>o.update({enabled:!1}),enable:()=>o.update({enabled:!0}),remove:()=>o.update({uri:null}),update:a=>{typeof a.uri<"u"&&a.uri!==r&&(delete this._registeredResources[r],a.uri&&(this._registeredResources[a.uri]=o)),typeof a.name<"u"&&(o.name=a.name),typeof a.title<"u"&&(o.title=a.title),typeof a.metadata<"u"&&(o.metadata=a.metadata),typeof a.callback<"u"&&(o.readCallback=a.callback),typeof a.enabled<"u"&&(o.enabled=a.enabled),this.sendResourceListChanged()}};return this._registeredResources[r]=o,o}_createRegisteredResourceTemplate(t,n,r,i,s){let o={resourceTemplate:r,title:n,metadata:i,readCallback:s,enabled:!0,disable:()=>o.update({enabled:!1}),enable:()=>o.update({enabled:!0}),remove:()=>o.update({name:null}),update:a=>{typeof a.name<"u"&&a.name!==t&&(delete this._registeredResourceTemplates[t],a.name&&(this._registeredResourceTemplates[a.name]=o)),typeof a.title<"u"&&(o.title=a.title),typeof a.template<"u"&&(o.resourceTemplate=a.template),typeof a.metadata<"u"&&(o.metadata=a.metadata),typeof a.callback<"u"&&(o.readCallback=a.callback),typeof a.enabled<"u"&&(o.enabled=a.enabled),this.sendResourceListChanged()}};return this._registeredResourceTemplates[t]=o,o}_createRegisteredPrompt(t,n,r,i,s){let o={title:n,description:r,argsSchema:i===void 0?void 0:wU(i),callback:s,enabled:!0,disable:()=>o.update({enabled:!1}),enable:()=>o.update({enabled:!0}),remove:()=>o.update({name:null}),update:a=>{typeof a.name<"u"&&a.name!==t&&(delete this._registeredPrompts[t],a.name&&(this._registeredPrompts[a.name]=o)),typeof a.title<"u"&&(o.title=a.title),typeof a.description<"u"&&(o.description=a.description),typeof a.argsSchema<"u"&&(o.argsSchema=wU(a.argsSchema)),typeof a.callback<"u"&&(o.callback=a.callback),typeof a.enabled<"u"&&(o.enabled=a.enabled),this.sendPromptListChanged()}};return this._registeredPrompts[t]=o,o}_createRegisteredTool(t,n,r,i,s,o,a,c,u){oOt(t);let l={title:n,description:r,inputSchema:aOt(i),outputSchema:aOt(s),annotations:o,execution:a,_meta:c,handler:u,enabled:!0,disable:()=>l.update({enabled:!1}),enable:()=>l.update({enabled:!0}),remove:()=>l.update({name:null}),update:d=>{typeof d.name<"u"&&d.name!==t&&(typeof d.name=="string"&&oOt(d.name),delete this._registeredTools[t],d.name&&(this._registeredTools[d.name]=l)),typeof d.title<"u"&&(l.title=d.title),typeof d.description<"u"&&(l.description=d.description),typeof d.paramsSchema<"u"&&(l.inputSchema=wU(d.paramsSchema)),typeof d.callback<"u"&&(l.handler=d.callback),typeof d.annotations<"u"&&(l.annotations=d.annotations),typeof d._meta<"u"&&(l._meta=d._meta),typeof d.enabled<"u"&&(l.enabled=d.enabled),this.sendToolListChanged()}};return this._registeredTools[t]=l,this.setToolRequestHandlers(),this.sendToolListChanged(),l}tool(t,...n){if(this._registeredTools[t])throw new Error(`Tool ${t} is already registered`);let r,i,s,o;if(typeof n[0]=="string"&&(r=n.shift()),n.length>1){let c=n[0];xTe(c)?(i=n.shift(),n.length>1&&typeof n[0]=="object"&&n[0]!==null&&!xTe(n[0])&&(o=n.shift())):typeof c=="object"&&c!==null&&(o=n.shift())}let a=n[0];return this._createRegisteredTool(t,void 0,r,i,s,o,{taskSupport:"forbidden"},void 0,a)}registerTool(t,n,r){if(this._registeredTools[t])throw new Error(`Tool ${t} is already registered`);let{title:i,description:s,inputSchema:o,outputSchema:a,annotations:c,_meta:u}=n;return this._createRegisteredTool(t,i,s,o,a,c,{taskSupport:"forbidden"},u,r)}prompt(t,...n){if(this._registeredPrompts[t])throw new Error(`Prompt ${t} is already registered`);let r;typeof n[0]=="string"&&(r=n.shift());let i;n.length>1&&(i=n.shift());let s=n[0],o=this._createRegisteredPrompt(t,void 0,r,i,s);return this.setPromptRequestHandlers(),this.sendPromptListChanged(),o}registerPrompt(t,n,r){if(this._registeredPrompts[t])throw new Error(`Prompt ${t} is already registered`);let{title:i,description:s,argsSchema:o}=n,a=this._createRegisteredPrompt(t,i,s,o,r);return this.setPromptRequestHandlers(),this.sendPromptListChanged(),a}isConnected(){return this.server.transport!==void 0}async sendLoggingMessage(t,n){return this.server.sendLoggingMessage(t,n)}sendResourceListChanged(){this.isConnected()&&this.server.sendResourceListChanged()}sendToolListChanged(){this.isConnected()&&this.server.sendToolListChanged()}sendPromptListChanged(){this.isConnected()&&this.server.sendPromptListChanged()}},Gfr={type:"object",properties:{}};TU={completion:{values:[],hasMore:!1}}});var nNt={};Ar(nNt,{runRepairAgent:()=>$fr});import{existsSync as Qv,readdirSync as cve,readFileSync as uve}from"node:fs";import{join as ry}from"node:path";async function $fr(e){let t;try{t=(await Promise.resolve().then(()=>(tNt(),eNt))).query}catch{return{success:!1,summary:"Claude Agent SDK not available \u2014 mechanical repair applied, remaining issues need manual attention",fallbackUsed:!0}}let n=epr(e),r=tpr(e),i=12e4;try{let s=(async()=>{let c="";for await(let u of t({prompt:r,options:{model:"claude-haiku-4-5-20251001",cwd:e.intentDir,additionalDirectories:[e.studioDir],allowedTools:["Read","Write","Glob","Grep"],disallowedTools:["Bash","Agent","WebSearch","WebFetch","Edit"],permissionMode:"dontAsk",maxTurns:25,systemPrompt:n}}))u.type==="result"&&(c=u.result||"");return c})(),o=new Promise((c,u)=>setTimeout(()=>u(new Error("repair agent timed out")),i)),a=await Promise.race([s,o]);return{success:a.trim().length>0,summary:a||"Repair agent completed but produced no output",fallbackUsed:!1}}catch(s){return{success:!1,summary:`Repair agent failed: ${s instanceof Error?s.message:String(s)}`,fallbackUsed:!0}}}function epr(e){let t=npr(e.studioDir);return`You are a H\xB7AI\xB7K\xB7U intent repair agent. Your single purpose is to fix metadata and state in H\xB7AI\xB7K\xB7U intent files that are in an inconsistent state after migration from a legacy system.
 
 ## Constraints (CRITICAL \u2014 non-negotiable)
 
@@ -1465,7 +1463,7 @@ If a stage looks "stuck" you suspect should be marked complete: the per-unit FM
 You are running from the intent directory: \`${e.intentDir}\`
 You also have read access to the studio definition at: \`${e.studioDir}\`
 
-All file paths you read/write should be relative to the intent directory unless reading studio definitions.`}function Efr(e){let t=[];t.push(`Repair intent "${e.slug}" (studio: ${e.studio}, active stage: ${e.activeStage}).`),e.synthesizedStages.length>0&&t.push(`## Already Fixed (Mechanical Synthesis)
+All file paths you read/write should be relative to the intent directory unless reading studio definitions.`}function tpr(e){let t=[];t.push(`Repair intent "${e.slug}" (studio: ${e.studio}, active stage: ${e.activeStage}).`),e.synthesizedStages.length>0&&t.push(`## Already Fixed (Mechanical Synthesis)
 
 The following stages had no units and were skipped \u2014 the v4 cursor will treat them as already-merged when intent main carries no units for them:
 ${e.synthesizedStages.map(r=>`- **${r}**`).join(`
@@ -1490,7 +1488,7 @@ The mechanical pre-tick repair tried to populate \`inputs:\` on these units (usi
 ${e.unitsMissingInputs.map(r=>`- \`stages/${e.activeStage}/units/${r}\``).join(`
 `)}
 
-**Do NOT edit these files.** Surface them in your end-of-run summary as needing human attention. The workflow engine will refuse to advance until inputs are present, so the user will see the issue and resolve it manually.`);let n=_fr(e);return n.length>0&&t.push(`## Missing Discovery Artifact Stubs
+**Do NOT edit these files.** Surface them in your end-of-run summary as needing human attention. The workflow engine will refuse to advance until inputs are present, so the user will see the issue and resolve it manually.`);let n=rpr(e);return n.length>0&&t.push(`## Missing Discovery Artifact Stubs
 
 The following discovery artifacts are expected by downstream stages but don't exist in the intent directory. Create stub files with frontmatter only (no body content \u2014 the elaboration phase will fill them in):
 
@@ -1511,66 +1509,66 @@ After making all repairs, summarize:
 2. Which stages are stuck and why (read-only observations only \u2014 do not write state.json)
 3. Any issues that could not be automatically resolved and need human attention (residual unit \`inputs:\` problems, unit content concerns, anything you spotted but cannot touch)`),t.join(`
 
-`)}function bfr(e){let t=ny(e,"stages");if(!Jv(t))return"(no stages directory found)";let n=[],r;try{r=XTe(t).filter(i=>Jv(ny(t,i,"STAGE.md")))}catch{return"(could not read stages directory)"}for(let i of r){let s=ny(t,i,"STAGE.md");try{let o=QTe(s,"utf8"),{data:a}=(0,V6.default)(o),c=Object.keys(a).length>0?Object.entries(a).map(([u,l])=>`${u}: ${JSON.stringify(l)}`).join(`
+`)}function npr(e){let t=ry(e,"stages");if(!Qv(t))return"(no stages directory found)";let n=[],r;try{r=cve(t).filter(i=>Qv(ry(t,i,"STAGE.md")))}catch{return"(could not read stages directory)"}for(let i of r){let s=ry(t,i,"STAGE.md");try{let o=uve(s,"utf8"),{data:a}=(0,o8.default)(o),c=Object.keys(a).length>0?Object.entries(a).map(([u,l])=>`${u}: ${JSON.stringify(l)}`).join(`
 `):"(no frontmatter)";n.push(`### ${i}
 \`\`\`yaml
 ${c}
 \`\`\``)}catch{n.push(`### ${i}
 (could not read STAGE.md)`)}}return n.join(`
 
-`)}function _fr(e){let t=[],n=ny(e.studioDir,"stages");if(!Jv(n))return t;let r={},i;try{i=XTe(n).filter(o=>Jv(ny(n,o,"STAGE.md")))}catch{return t}for(let o of i){let a=ny(n,o,"discovery");if(Jv(a))try{for(let c of XTe(a).filter(u=>u.endsWith(".md"))){let{data:u}=(0,V6.default)(QTe(ny(a,c),"utf8")),l=u.name||c.replace(/\.md$/,"").toLowerCase(),d=u.location||"";d&&(r[l]=d.replace(/\{intent-slug\}/g,"").replace(/^\.haiku\/intents\/\//,""))}}catch{}}let s=ny(n,e.activeStage,"STAGE.md");if(!Jv(s))return t;try{let o=QTe(s,"utf8"),{data:a}=(0,V6.default)(o),c=a.inputs||[];for(let u of c)if(u.discovery){let l=r[u.discovery];if(l){let d=ny(e.intentDir,l);Jv(d)||t.push({name:u.discovery,path:l,neededBy:e.activeStage})}}}catch{}return t}var V6,qNt=v(()=>{"use strict";V6=Se(Xt(),1)});import{execFileSync as ib}from"node:child_process";import{existsSync as Xu,mkdirSync as Tfr,readFileSync as UU,writeFileSync as vfr}from"node:fs";import{join as Oo}from"node:path";function rb(e){let t=zbe(e);return t?.action?t.action:t?{action:"error",message:`runWorkflowTick produced no action for intent '${e}' (track: ${t.position.track}). The cursor is mid-wave or sealed \u2014 wait for outstanding subagents and retick.`}:{action:"error",message:`Intent '${e}' not found`}}function BNt(){try{return ib("git",["branch","--show-current"],{encoding:"utf8",stdio:["ignore","pipe","pipe"]}).trim()}catch{return""}}function Afr(e){for(let t of e.content??[]){if(t.type!=="text"||typeof t.text!="string")continue;let n=t.text.indexOf(`
+`)}function rpr(e){let t=[],n=ry(e.studioDir,"stages");if(!Qv(n))return t;let r={},i;try{i=cve(n).filter(o=>Qv(ry(n,o,"STAGE.md")))}catch{return t}for(let o of i){let a=ry(n,o,"discovery");if(Qv(a))try{for(let c of cve(a).filter(u=>u.endsWith(".md"))){let{data:u}=(0,o8.default)(uve(ry(a,c),"utf8")),l=u.name||c.replace(/\.md$/,"").toLowerCase(),d=u.location||"";d&&(r[l]=d.replace(/\{intent-slug\}/g,"").replace(/^\.haiku\/intents\/\//,""))}}catch{}}let s=ry(n,e.activeStage,"STAGE.md");if(!Qv(s))return t;try{let o=uve(s,"utf8"),{data:a}=(0,o8.default)(o),c=a.inputs||[];for(let u of c)if(u.discovery){let l=r[u.discovery];if(l){let d=ry(e.intentDir,l);Qv(d)||t.push({name:u.discovery,path:l,neededBy:e.activeStage})}}}catch{}return t}var o8,rNt=v(()=>{"use strict";o8=Re(Kt(),1)});import{execFileSync as oE}from"node:child_process";import{existsSync as su,mkdirSync as ipr,readFileSync as Qx,writeFileSync as spr}from"node:fs";import{join as po}from"node:path";function iy(e){let t=t_e(e);return t?.action?t.action:t?{action:"error",message:`runWorkflowTick produced no action for intent '${e}' (track: ${t.position.track}). The cursor is mid-wave or sealed \u2014 wait for outstanding subagents and retick.`}:{action:"error",message:`Intent '${e}' not found`}}function iNt(){try{return oE("git",["branch","--show-current"],{encoding:"utf8",stdio:["ignore","pipe","pipe"]}).trim()}catch{return""}}function opr(e){for(let t of e.content??[]){if(t.type!=="text"||typeof t.text!="string")continue;let n=t.text.indexOf(`
 
----`),i=(n>=0?t.text.slice(0,n):t.text).trim();if(i.startsWith("{"))try{let s=JSON.parse(i);if(typeof s.action=="string")return s.action}catch{}}return null}async function Rfr(e,t,n){let{orchestratorToolHandlers:r}=await Promise.resolve().then(()=>(iU(),$Te)),i=`haiku_${e}`,s=r.get(i);if(!s)return{ok:!1,message:`Engine bug: no handler registered for selection action '${e}' (looked up as '${i}').`};try{let o=await s.handle({intent:t},n);if(o.isError)return{ok:!1,message:o.content?.map(u=>u.type==="text"?u.text:"").join(`
+---`),i=(n>=0?t.text.slice(0,n):t.text).trim();if(i.startsWith("{"))try{let s=JSON.parse(i);if(typeof s.action=="string")return s.action}catch{}}return null}async function apr(e,t,n){let{orchestratorToolHandlers:r}=await Promise.resolve().then(()=>(yU(),lve)),i=`haiku_${e}`,s=r.get(i);if(!s)return{ok:!1,message:`Engine bug: no handler registered for selection action '${e}' (looked up as '${i}').`};try{let o=await s.handle({intent:t},n);if(o.isError)return{ok:!1,message:o.content?.map(u=>u.type==="text"?u.text:"").join(`
 `).trim()||`Picker failed for ${e}.`};let a=o.content?.map(c=>c.type==="text"?c.text:"").join(`
-`).trim();if(a)try{if(JSON.parse(a)?.action==="cancelled")return{ok:!1,message:`Picker for ${e} was cancelled or timed out without a selection. Re-run \`haiku_run_next\` to surface the picker again.`}}catch{}return{ok:!0}}catch(o){return{ok:!1,message:`Picker for ${e} threw: ${o instanceof Error?o.message:String(o)}`}}}function LU(e){if(!Xu(e))return{};let t=UU(e,"utf8"),{data:n}=re(t);return n}var GNt,zNt=v(()=>{"use strict";vr();Wbe();xa();Vbe();zd();Q0t();ih();X5();QL();Xc();ze();Kn();To();Gi();vs();GNt={name:"haiku_run_next",description:"Advance the workflow. Returns the next action for the agent to take, with rendered instructions appended. Auto-resolves `intent` from the current branch when omitted; if multiple intents are active, requires explicit `intent`. Pass `external_review_url` when a stage is blocked on external review to record the URL for approval polling.",inputSchema:{type:"object",properties:{intent:{type:"string"},external_review_url:{type:"string"},state_file:{type:"string"},pickup:{type:"boolean",description:"Set true when invoked from /haiku:haiku-pickup. The engine fetches origin and materializes the active stage branch locally so the user can `git switch` into in-flight work, then appends a pickup hint to the response."}}},async handle(e,t){let n=Date.now(),r=e.intent||"";if(!r){let S=gv();if(S)r=S.slug;else{if(Re())return{content:[{type:"text",text:"No intent specified and the current branch isn't an intent branch (`haiku/<slug>/main` or `haiku/<slug>/<stage>`). Pass `intent` explicitly, or `git switch haiku/<slug>/main` to scope the engine to a specific intent. The engine refuses to auto-target an intent the user isn't actively on \u2014 that's how stray intent dirs end up touched and polluting `git status`."}],isError:!0};{let b=ve(),_=Oo(b,"intents"),T=Xu(_)?Ug(_).filter(A=>A.data.status!=="completed"):[];if(T.length===1)r=T[0].slug;else return T.length===0?{content:[{type:"text",text:"No active intents found. Start one with /haiku:haiku-start."}],isError:!0}:{content:[{type:"text",text:`Multiple active intents (${T.map(A=>A.slug).join(", ")}). Pass \`intent\` explicitly.`}],isError:!0}}}}let i=e.state_file,s=$ye(r,"intent");if(s)return{content:[{type:"text",text:s}],isError:!0};if(Re())try{let S=ib("git",["rev-parse","--git-dir"],{encoding:"utf8",stdio:["ignore","pipe","pipe"]}).trim(),b=["MERGE_HEAD","REBASE_HEAD","CHERRY_PICK_HEAD","REVERT_HEAD"].find(_=>Xu(Oo(S,_)));if(b){let _=ib("git",["diff","--name-only","--diff-filter=U"],{encoding:"utf8",stdio:["ignore","pipe","pipe"]}).split(`
-`).filter(Boolean),T=ib("git",["branch","--show-current"],{encoding:"utf8",stdio:["ignore","pipe","pipe"]}).trim(),A=_.length>0?`Conflicted files: ${_.join(", ")}.`:`(No conflict files reported \u2014 try \`git status\` to inspect, or \`git ${b==="MERGE_HEAD"?"merge":"rebase"} --abort\` to bail out.)`;return ye(JSON.stringify({action:"error",intent:r,error:"mid_merge_blocking_tick",marker:b,branch:T,conflict_files:_,message:`The working tree on '${T}' is mid-merge (${b} present) \u2014 most likely from the previous tick's pre-cursor sync hitting a real conflict. Resolve the conflicted files in place (the workflow-fields guard's mid-merge bypass permits Edit/Write during a merge), run \`git add <files>\` and \`git commit\`, then re-run \`haiku_run_next\`. `+A},null,2))}}catch{}let o=upe();if(o.length>0){let S=o.slice(0,50).join(`
-  `),b=o.length>50?`
+`).trim();if(a)try{if(JSON.parse(a)?.action==="cancelled")return{ok:!1,message:`Picker for ${e} was cancelled or timed out without a selection. Re-run \`haiku_run_next\` to surface the picker again.`}}catch{}return{ok:!0}}catch(o){return{ok:!1,message:`Picker for ${e} threw: ${o instanceof Error?o.message:String(o)}`}}}function ZU(e){if(!su(e))return{};let t=Qx(e,"utf8"),{data:n}=re(t);return n}var sNt,oNt=v(()=>{"use strict";yr();r_e();Oa();T3();n_e();Kd();hxt();sh();f5();l1();$c();Ge();Kn();vo();zi();vs();sNt={name:"haiku_run_next",description:"Advance the workflow. Returns the next action for the agent to take, with rendered instructions appended. Auto-resolves `intent` from the current branch when omitted; if multiple intents are active, requires explicit `intent`. Pass `external_review_url` when a stage is blocked on external review to record the URL for approval polling.",inputSchema:{type:"object",properties:{intent:{type:"string"},external_review_url:{type:"string"},state_file:{type:"string"},pickup:{type:"boolean",description:"Set true when invoked from /haiku:haiku-pickup. The engine fetches origin and materializes the active stage branch locally so the user can `git switch` into in-flight work, then appends a pickup hint to the response."}}},async handle(e,t){let n=Date.now(),r=e.intent||"";if(!r){let S=yv();if(S)r=S.slug;else{if(ve())return{content:[{type:"text",text:"No intent specified and the current branch isn't an intent branch (`haiku/<slug>/main` or `haiku/<slug>/<stage>`). Pass `intent` explicitly, or `git switch haiku/<slug>/main` to scope the engine to a specific intent. The engine refuses to auto-target an intent the user isn't actively on \u2014 that's how stray intent dirs end up touched and polluting `git status`."}],isError:!0};{let E=Te(),_=po(E,"intents"),T=su(_)?Fg(_).filter(R=>R.data.status!=="completed"):[];if(T.length===1)r=T[0].slug;else return T.length===0?{content:[{type:"text",text:"No active intents found. Start one with /haiku:haiku-start."}],isError:!0}:{content:[{type:"text",text:`Multiple active intents (${T.map(R=>R.slug).join(", ")}). Pass \`intent\` explicitly.`}],isError:!0}}}}let i=e.state_file,s=lSe(r,"intent");if(s)return{content:[{type:"text",text:s}],isError:!0};if(ve())try{let S=oE("git",["rev-parse","--git-dir"],{encoding:"utf8",stdio:["ignore","pipe","pipe"]}).trim(),E=["MERGE_HEAD","REBASE_HEAD","CHERRY_PICK_HEAD","REVERT_HEAD"].find(_=>su(po(S,_)));if(E){let _=oE("git",["diff","--name-only","--diff-filter=U"],{encoding:"utf8",stdio:["ignore","pipe","pipe"]}).split(`
+`).filter(Boolean),T=oE("git",["branch","--show-current"],{encoding:"utf8",stdio:["ignore","pipe","pipe"]}).trim(),R=_.length>0?`Conflicted files: ${_.join(", ")}.`:`(No conflict files reported \u2014 try \`git status\` to inspect, or \`git ${E==="MERGE_HEAD"?"merge":"rebase"} --abort\` to bail out.)`;return ye(JSON.stringify({action:"error",intent:r,error:"mid_merge_blocking_tick",marker:E,branch:T,conflict_files:_,message:`The working tree on '${T}' is mid-merge (${E} present) \u2014 most likely from the previous tick's pre-cursor sync hitting a real conflict. Resolve the conflicted files in place (the workflow-fields guard's mid-merge bypass permits Edit/Write during a merge), run \`git add <files>\` and \`git commit\`, then re-run \`haiku_run_next\`. `+R},null,2))}}catch{}let o=Tpe();if(o.length>0){let S=o.slice(0,50).join(`
+  `),E=o.length>50?`
   \u2026and ${o.length-50} more`:"";return ye(JSON.stringify({action:"error",intent:r,error:"dirty_tree_blocking_tick",dirty_files:o,message:`I can't advance the workflow with uncommitted work in the tree. Commit everything first \u2014 you author these commits, not the engine, because you know what you just did and can tell the story of the work. Keep the commit messages logical: group related changes into separate, coherent commits (one logical step each), and write messages that explain the WHY of the change \u2014 not a single catch-all 'wip' dump. Then re-run \`haiku_run_next\` to continue.
 
 Uncommitted:
-  `+S+b},null,2))}try{let S=Oo(ve(),"intents",r,"intent.md");if(Xu(S)){let b=LU(S),_=b.studio||"",T=typeof b.external_review_url=="string"&&b.external_review_url.length>0;if(_&&T){let{isGitRepo:A}=await Promise.resolve().then(()=>(ze(),cY));if(A()){xT();let{resolveStudioStages:R}=await Promise.resolve().then(()=>(zd(),VNt)),{reconcileMisroutedStageMerges:x}=await Promise.resolve().then(()=>(vr(),qD)),k=R(_),P=x(r,k).filter(C=>C.misrouted&&!C.reconciled&&C.error);if(P.length>0)return{content:[{type:"text",text:`Stage merge routed to the wrong branch \u2014 manual reconciliation needed:
+  `+S+E},null,2))}try{let S=po(Te(),"intents",r,"intent.md");if(su(S)){let E=ZU(S),_=E.studio||"",T=typeof E.external_review_url=="string"&&E.external_review_url.length>0;if(_&&T){let{isGitRepo:R}=await Promise.resolve().then(()=>(Ge(),TZ));if(R()){PT();let{resolveStudioStages:A}=await Promise.resolve().then(()=>(Kd(),aNt)),{reconcileMisroutedStageMerges:x}=await Promise.resolve().then(()=>(yr(),ZD)),k=A(_),N=x(r,k).filter(C=>C.misrouted&&!C.reconciled&&C.error);if(N.length>0)return{content:[{type:"text",text:`Stage merge routed to the wrong branch \u2014 manual reconciliation needed:
 
-${P.map(C=>`- **Stage ${C.stage}**: ${C.error}`).join(`
+${N.map(C=>`- **Stage ${C.stage}**: ${C.error}`).join(`
 `)}
 
-When reconciled, re-run \`haiku_run_next\` to continue.`}],isError:!0}}}}}catch(S){console.error(`[haiku_run_next] pre-cursor reconciliation failed: ${S instanceof Error?S.message:String(S)}`)}let a="";if(e.pickup===!0&&Re())try{xT();let S=Oo(ve(),"intents",r,"intent.md");if(Xu(S)){let _=LU(S).studio||"";if(_){let T=ai(r,_);if(T){let A=`haiku/${r}/${T}`;try{ib("git",["fetch","origin",`${A}:${A}`],{encoding:"utf8",stdio:"pipe"}),a=`Active stage branch \`${A}\` was fetched from origin. Run \`git switch ${A}\` to inspect in-flight unit work; the engine drives the workflow from intent main and doesn't need you on the stage branch.`}catch{}}}}}catch(S){console.error(`[haiku_run_next] pickup auto-fetch threw: ${S instanceof Error?S.message:String(S)}`)}{let S=npe(r);S.error&&console.error(`[haiku_run_next] reconcile: ${S.error}`)}{let S=Oo(ve(),"intents",r,"intent.md");if(Xu(S)){let b=LU(S),_=b.studio||"",T=b.mode||"";if(!_||!T){if(!mr().startsWith(`haiku/${r}/`)){let x=gr(r,void 0);if(!x.ok)return WE(r,void 0,x,"run_next entry \u2014 intent main (pre-selection)")}}else{let A=Wfe(r);if(!A.ok){let R=A.conflictAt==="mainline_to_intent_main"?`haiku/${r}/main`:mr()||`haiku/${r}/main`,x=A.conflictBranch??R,k=A.conflictBranch??null;if(!((A.conflictFiles??[]).length>0)){let F=A.conflictAt==="mainline_to_intent_main"?`To recover: \`git checkout ${x}\`, merge the mainline ref into it manually, resolve any conflicts and commit, then \`git checkout\` back to your original branch and re-run \`haiku_run_next\`.`:`To recover: \`git merge haiku/${r}/main\` on this branch (you're already on '${x}'), resolve any conflicts and commit, then re-run \`haiku_run_next\`.`;return ye(JSON.stringify({action:"error",intent:r,error:"pre_cursor_sync_failed",conflict_at:A.conflictAt,conflict_branch:k,underlying_error:A.message,message:`Pre-cursor downstream sync FAILED on branch '${x}' (${A.conflictAt}). The merge couldn't start \u2014 there are NO conflict markers to resolve. Likely cause: the target branch is checked out elsewhere with dirty tracked changes, the worktree is locked, or git refused for another non-conflict reason. ${F} Underlying error: ${A.message??"(none reported)"}.`},null,2))}let P=(A.conflictFiles??[]).join(", "),C=A.conflictAt==="mainline_to_intent_main"?`The conflict happened in a temp worktree that's already been cleaned up \u2014 there are NO conflict markers in your working tree. To resolve: \`git checkout ${x}\`, merge the mainline ref manually (\`git merge <mainline-ref>\`), resolve the listed files, \`git add\` + \`git commit\`, then \`git checkout\` back to your original branch and re-run \`haiku_run_next\`.`:"Resolve the conflict on the listed files in place, run `git add <files>` and `git commit`, then re-run `haiku_run_next`.";return ye(JSON.stringify({action:"error",intent:r,error:"pre_cursor_sync_conflict",conflict_at:A.conflictAt,conflict_branch:k,conflict_files:A.conflictFiles,message:`Pre-cursor downstream sync hit a conflict on branch '${x}' (${A.conflictAt}). ${C} Conflicted files: ${P}.`},null,2))}}}}if(e.external_review_url)try{let S=ve(),b=Oo(S,"intents",r,"intent.md");Xu(b)&&De(b,"external_review_url",e.external_review_url)}catch{}try{let{drainPendingDispatches:S}=await Promise.resolve().then(()=>(pv(),YL));S(r)}catch(S){console.error(`[haiku_run_next] drainPendingDispatches failed: ${S instanceof Error?S.message:String(S)}`)}let 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c=iy(r);try{let S=iNt(),E=`haiku/${r}/`,_=S.startsWith(E)&&S!==`${E}main`?S.slice(E.length):null;if(_&&!(typeof c.stage=="string"&&c.stage===_)){let T=pe(r),R=po(T,"intent.md");if(su(R)){let A=ZU(R),x=A.studio||"",k=A.mode||"continuous";if(x&&I0(T,x,_,k)){let P=`haiku/${r}/${_}`,N=`haiku/${r}/main`;HD(P,N)||(c={action:"complete_stage",intent:r,stage:_})}}}}catch{}{let S=0;for(;c.action==="select_studio"||c.action==="select_mode"||c.action==="select_stage";){let E=xx(c);if(++S>bU)return rm("select_*",S,c,"cap");if(S5(n))return b5("select_*",S,n,c);let _=await apr(c.action,r,t);if(!_.ok)return{content:[{type:"text",text:_.message}],isError:!0};if(c=iy(r),(c.action==="select_studio"||c.action==="select_mode"||c.action==="select_stage")&&xx(c)===E)return rm("select_*",S,c,"no_progress")}}if((c.action==="dispatch_review"||c.action==="dispatch_approval")&&typeof c.stage=="string")try{let{stashPendingDispatch:S}=await 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L=po(Te(),"intents",r),{buildReviewRecord:G}=await Promise.resolve().then(()=>(Xf(),wyt)),W=Qx(C,"utf8"),q=re(W).data,Q=q.reviews&&typeof q.reviews=="object"?{...q.reviews}:{},B=Array.isArray(q.inputs)?q.inputs:[],F=!1;for(let[V,U]of Object.entries(Q)){if(!U||typeof U!="object"||Array.isArray(U))continue;let M=U;if(typeof M.at!="string")continue;let H=G(C,{intentDir:L,unitInputs:B});Q[V]={...M,body_sha256:H.body_sha256,input_witnesses:H.input_witnesses},F=!0}F&&Me(C,"reviews",Q)}}c=iy(r)}catch(E){console.error(`[haiku_run_next] close_feedback execution failed: ${E instanceof Error?E.message:String(E)}`);break}}if(c.action==="seal_intent")try{let S=po(Te(),"intents",r,"intent.md");su(S)&&(Me(S,"sealed_at",new Date().toISOString()),wt(`haiku: seal intent ${r}`),c=iy(r))}catch(S){console.error(`[haiku_run_next] merge_intent execution failed: ${S instanceof Error?S.message:String(S)}`)}if(c.action==="pending_seal"&&e.pickup===!0)try{let S=po(Te(),"intents",r,"intent.md");if(su(S)){let{data:E}=re(Qx(S,"utf8")),_=E.approvals&&typeof E.approvals=="object"?{...E.approvals}:{},T=!1;for(let R of Object.keys(_))eL.has(R)&&_[R]!=null&&(_[R]=null,T=!0);T&&(Me(S,"approvals",_),wt(`haiku: re-open delivery review on pickup for ${r}`),c=iy(r))}}catch(S){console.error(`[haiku_run_next] pending-seal pickup re-open failed: ${S instanceof Error?S.message:String(S)}`)}let d=0,f=null;for(;c.action==="complete_stage"&&typeof c.stage=="string";){let S=xx(c);if(++d>bU)return rm("complete_stage",d,c,"cap");if(S5(n))return b5("complete_stage",d,n,c);if(S===f)return rm("complete_stage",d,c,"no_progress");f=S;let E=c.stage;if(Sye(pe(r),E)){c={action:"record_observations",intent:r,stage:E};break}try{let{isGitRepo:_}=await Promise.resolve().then(()=>(Ge(),TZ));if(!_()){c=iy(r);continue}try{let x=`haiku/${r}/${E}`;if(iNt()===x){let k=`.haiku/intents/${r}/stages/${E}/observations.md`;oE("git",["status","--porcelain","--",k],{encoding:"utf8",stdio:["ignore","pipe","pipe"]}).trim()&&(oE("git",["add","--",k],{stdio:"ignore"}),oE("git",["commit","-m",`haiku: observations for stage ${E}`],{stdio:"ignore"}))}}catch{}let{mergeStageBranchIntoMain:T}=await Promise.resolve().then(()=>(yr(),ZD)),{withIntentMainLock:R}=await Promise.resolve().then(()=>(B0(),CSt)),A=R(r,()=>T(r,E));if(!A.success)return A.isConflict?{content:[{type:"text",text:`Stage '${E}' completion blocked by conflict: ${A.message}`}],isError:!0}:{content:[{type:"text",text:`Stage '${E}' completion blocked: its branch could not be merged into intent-main: ${A.message}
 
-The stage branch \`haiku/${r}/${b}\` is intact (not deleted) \u2014 no work is lost. Resolve the merge on \`haiku/${r}/main\` (commit/stash any blocking untracked files, then \`git merge haiku/${r}/${b}\`), then re-run.`}],isError:!0};try{let{invalidateDownstreamApprovals:x}=await Promise.resolve().then(()=>(txt(),ext)),k=pe(r),N=Oo(k,"intent.md");if(Xu(N)){let P=LU(N),C=P.studio||"";if(C){let F=x({intentDir:k,intentFm:P,studio:C,completedStage:b});F.units_cleared>0&&Ke("haiku.revisit.downstream_invalidated",{intent:r,completed_stage:b,stages_cleared:F.stages_cleared.join(","),units_cleared:String(F.units_cleared)})}}}catch(x){console.error(`[haiku_run_next] downstream invalidation failed (non-fatal): ${x instanceof Error?x.message:String(x)}`)}c=rb(r)}catch(_){console.error(`[haiku_run_next] complete_stage execution failed: ${_ instanceof Error?_.message:String(_)}`);break}}if(typeof c.stage=="string"&&c.stage.length>0)try{let S=Oo(ve(),"intents",r,"intent.md");if(Xu(S)){let b=gr(r,c.stage);if(!b.ok)return WE(r,c.stage,b,"run_next post-cursor revisit alignment")}}catch{}Ke("haiku.orchestrator.action",{intent:r,action:c.action}),i&&qi(i,{event:"run_next",intent:r,action:c.action,stage:c.stage,unit:c.unit,hat:c.hat,wave:c.wave}),i&&c.action==="outputs_missing"&&qi(i,{event:"outputs_missing",intent:r,stage:c.stage,missing:c.missing}),i&&c.action==="discovery_missing"&&qi(i,{event:"discovery_missing",intent:r,stage:c.stage,missing:c.missing});let p={};try{let S=pe(r),b=UU(Oo(S,"intent.md"),"utf8");p=re(b).data}catch{}let h=p.studio||"",m=S=>{Ex(S);let b=p.drift_cascade_alarm;b&&typeof b=="object"&&!Array.isArray(b)&&Object.keys(b).length>0&&(S.drift_cascade_alarm={stages:Object.keys(b),recommendation:"Drift cascade detected \u2014 the engine is suppressing new drift FBs while the queue drains. If this recurs after the queue clears, run `/haiku:haiku-repair` to refresh the witness baseline; this typically happens after a plugin version migration."});let _=z1(r,h,S,pe(r)),T=k5(_),{tell_user:A,next_step:R,...x}=S;return`${JSON.stringify(x,null,2)}
+The stage branch \`haiku/${r}/${E}\` is intact (not deleted) \u2014 no work is lost. Resolve the merge on \`haiku/${r}/main\` (commit/stash any blocking untracked files, then \`git merge haiku/${r}/${E}\`), then re-run.`}],isError:!0};try{let{invalidateDownstreamApprovals:x}=await Promise.resolve().then(()=>(yxt(),gxt)),k=pe(r),P=po(k,"intent.md");if(su(P)){let N=ZU(P),C=N.studio||"";if(C){let L=x({intentDir:k,intentFm:N,studio:C,completedStage:E});L.units_cleared>0&&Ke("haiku.revisit.downstream_invalidated",{intent:r,completed_stage:E,stages_cleared:L.stages_cleared.join(","),units_cleared:String(L.units_cleared)})}}}catch(x){console.error(`[haiku_run_next] downstream invalidation failed (non-fatal): ${x instanceof Error?x.message:String(x)}`)}c=iy(r)}catch(_){console.error(`[haiku_run_next] complete_stage execution failed: ${_ instanceof Error?_.message:String(_)}`);break}}if(typeof c.stage=="string"&&c.stage.length>0)try{let S=po(Te(),"intents",r,"intent.md");if(su(S)){let E=gr(r,c.stage);if(!E.ok)return Zb(r,c.stage,E,"run_next post-cursor revisit alignment")}}catch{}Ke("haiku.orchestrator.action",{intent:r,action:c.action}),i&&qi(i,{event:"run_next",intent:r,action:c.action,stage:c.stage,unit:c.unit,hat:c.hat,wave:c.wave}),i&&c.action==="outputs_missing"&&qi(i,{event:"outputs_missing",intent:r,stage:c.stage,missing:c.missing}),i&&c.action==="discovery_missing"&&qi(i,{event:"discovery_missing",intent:r,stage:c.stage,missing:c.missing});let p={};try{let S=pe(r),E=Qx(po(S,"intent.md"),"utf8");p=re(E).data}catch{}let h=p.studio||"",m=S=>{Ax(S);let E=p.drift_cascade_alarm;E&&typeof E=="object"&&!Array.isArray(E)&&Object.keys(E).length>0&&(S.drift_cascade_alarm={stages:Object.keys(E),recommendation:"Drift cascade detected \u2014 the engine is suppressing new drift FBs while the queue drains. If this recurs after the queue clears, run `/haiku:haiku-repair` to refresh the witness baseline; this typically happens after a plugin version migration."});let _=nU(r,h,S,pe(r)),T=z6(_),{tell_user:R,next_step:A,...x}=S;return`${JSON.stringify(x,null,2)}
 
 ---
 
-${T}`};if(c.action==="external_review_requested"&&!e.external_review_url&&!p.external_review_url&&typeof c.stage=="string"&&c.stage.length>0)try{let{openStagePullRequest:S}=await Promise.resolve().then(()=>(vr(),qD)),b=S({slug:r,stage:c.stage});if(b.createdUrl){try{let _=Oo(ve(),"intents",r,"intent.md");De(_,"external_review_url",b.createdUrl)}catch{}c.message=`${c.message||""}
+${T}`};if(c.action==="external_review_requested"&&!e.external_review_url&&!p.external_review_url&&typeof c.stage=="string"&&c.stage.length>0)try{let{openStagePullRequest:S}=await Promise.resolve().then(()=>(yr(),ZD)),E=S({slug:r,stage:c.stage});if(E.createdUrl){try{let _=po(Te(),"intents",r,"intent.md");Me(_,"external_review_url",E.createdUrl)}catch{}c.message=`${c.message||""}
 
-The engine opened the MR for you: ${b.createdUrl} \u2014 base is \`haiku/${r}/main\` so the workflow engine can detect the merge. Tell the user; they review and merge when ready, then run /haiku:haiku-pickup.`}else b.compareUrl?c.message=`${c.message||""}
+The engine opened the MR for you: ${E.createdUrl} \u2014 base is \`haiku/${r}/main\` so the workflow engine can detect the merge. Tell the user; they review and merge when ready, then run /haiku:haiku-pickup.`}else E.compareUrl?c.message=`${c.message||""}
 
-Engine couldn't open the MR via gh/glab (${b.prError??b.pushError??"no CLI found"}). Surface this URL to the user \u2014 clicking it opens the MR with base \`haiku/${r}/main\` pre-filled: ${b.compareUrl}. After the user pastes the resulting URL, call haiku_run_next { intent: "${r}", external_review_url: "<url>" }.`:c.message=`${c.message||""}
+Engine couldn't open the MR via gh/glab (${E.prError??E.pushError??"no CLI found"}). Surface this URL to the user \u2014 clicking it opens the MR with base \`haiku/${r}/main\` pre-filled: ${E.compareUrl}. After the user pastes the resulting URL, call haiku_run_next { intent: "${r}", external_review_url: "<url>" }.`:c.message=`${c.message||""}
 
-${b.message} Open ONE merge request from branch \`haiku/${r}/${c.stage}\` to \`haiku/${r}/main\` (NOT the repo default branch \u2014 the engine detects merges via intent main, not the repo default). Record the URL via haiku_run_next { intent: "${r}", external_review_url: "<url>" }.`}catch(S){c.message=`${c.message||""}
+${E.message} Open ONE merge request from branch \`haiku/${r}/${c.stage}\` to \`haiku/${r}/main\` (NOT the repo default branch \u2014 the engine detects merges via intent main, not the repo default). Record the URL via haiku_run_next { intent: "${r}", external_review_url: "<url>" }.`}catch(S){c.message=`${c.message||""}
 
-IMPORTANT: Open the change request from \`haiku/${r}/${c.stage}\` to \`haiku/${r}/main\` (NOT the repo default). Try \`gh pr create --base haiku/${r}/main\` for GitHub or \`glab mr create --target-branch haiku/${r}/main\` for GitLab. (Engine helper threw: ${S instanceof Error?S.message:String(S)}.) Record the URL via haiku_run_next { intent: "${r}", external_review_url: "<url>" }.`}let y=0,g=null;for(;c.action==="gate_review"||c.action==="user_gate";){let S=vx(c);if(++y>oU)return nm("gate_review",y,c,"cap");if(S===g)return nm("gate_review",y,c,"no_progress");g=S;let b=c.stage??"",_=c.action==="user_gate",T=_?c.gate_kind:"",A=_?null:c.next_stage??null;if(_&&T==="approval"&&b)try{let{resolveIntentStages:C}=await Promise.resolve().then(()=>(ns(),Wft)),F=Oo(ve(),"intents",r,"intent.md"),V=Xu(F)?re(UU(F,"utf8")).data:{},K=V.studio||"";if(K){let $=C(V,K),B=$.indexOf(b);B>=0&&B<$.length-1&&(A=$[B+1])}}catch{}let R=_?null:c.next_phase??null;_&&T==="spec"&&(R="execute");let x=_?T==="spec"?"elaborate_to_execute":"stage_gate":c.gate_context||"stage_gate",k=_?"ask":c.gate_type,N=`.haiku/intents/${r}`;i&&qi(i,{event:"gate_review_prepared",intent:r,stage:b,gate_type:k});let P=eve();if(!P){if(_)break;return ye("Gate-review prepare handler not registered \u2014 server.ts wiring is broken. File a bug.")}try{let C=await P(N,k,{gateContext:x,stage:b,nextStage:A,nextPhase:R});Xr(r,e.state_file);let F=$t(C.session_id);if(!(F?.session_type==="review"&&!!F.announced_at))try{Pl(C.session_id,{announced_at:new Date().toISOString()})}catch{}let K=()=>lv(C.session_id)||HL(r);!C.browser_attached&&!K()&&lp(C.review_url,"Gate review",C.session_id);let{orchestratorToolHandlers:$}=await Promise.resolve().then(()=>(iU(),$Te)),B=$.get("haiku_await_gate");if(!B)return ye("haiku_await_gate handler not registered \u2014 server.ts wiring is broken. File a bug.");let X=await B.handle({intent:r,session_id:C.session_id,review_url:C.review_url,auto_open:!1,gate_context:x,next_stage:A,next_phase:R,...i?{state_file:i}:{}},t);if(X.isError)return X;let G=Afr(X);if(G&&new Set(["advance_phase","advance_stage","intent_approved","advance"]).has(G)){c=rb(r);continue}return X}catch(C){let F=C instanceof Error?C.message:String(C),V=C instanceof Error?C.stack:"",K=F.includes("lost presence"),$=F==="aborted"||t?.aborted,B=$?"abort":K?"await":"prepare";console.error(`[haiku] gate_review ${B} failed: ${F}`),$||ms(C,{intent:r,stage:b});try{let X=Oo(process.cwd(),".haiku","logs");Tfr(X,{recursive:!0}),vfr(Oo(X,"gate-review-error.log"),`${new Date().toISOString()}
+IMPORTANT: Open the change request from \`haiku/${r}/${c.stage}\` to \`haiku/${r}/main\` (NOT the repo default). Try \`gh pr create --base haiku/${r}/main\` for GitHub or \`glab mr create --target-branch haiku/${r}/main\` for GitLab. (Engine helper threw: ${S instanceof Error?S.message:String(S)}.) Record the URL via haiku_run_next { intent: "${r}", external_review_url: "<url>" }.`}let g=0,y=null;for(;c.action==="gate_review"||c.action==="user_gate";){let S=xx(c);if(++g>bU)return rm("gate_review",g,c,"cap");if(S===y)return rm("gate_review",g,c,"no_progress");y=S;let E=c.stage??"",_=c.action==="user_gate",T=_?c.gate_kind:"",R=_?null:c.next_stage??null;if(_&&T==="approval"&&E)try{let{resolveIntentStages:C}=await Promise.resolve().then(()=>(ns(),ipt)),L=po(Te(),"intents",r,"intent.md"),G=su(L)?re(Qx(L,"utf8")).data:{},W=G.studio||"";if(W){let $=C(G,W),q=$.indexOf(E);q>=0&&q<$.length-1&&(R=$[q+1])}}catch{}let A=_?null:c.next_phase??null;_&&T==="spec"&&(A="execute");let x=_?T==="spec"?"elaborate_to_execute":"stage_gate":c.gate_context||"stage_gate",k=_?"ask":c.gate_type,P=`.haiku/intents/${r}`;i&&qi(i,{event:"gate_review_prepared",intent:r,stage:E,gate_type:k});let N=dve();if(!N){if(_)break;return ye("Gate-review prepare handler not registered \u2014 server.ts wiring is broken. File a bug.")}try{let C=await N(P,k,{gateContext:x,stage:E,nextStage:R,nextPhase:A});Xr(r,e.state_file);let L=$t(C.session_id);if(!(L?.session_type==="review"&&!!L.announced_at))try{Ml(C.session_id,{announced_at:new Date().toISOString()})}catch{}let W=()=>dv(C.session_id)||QL(r);!C.browser_attached&&!W()&&dp(C.review_url,"Gate review",C.session_id);let{orchestratorToolHandlers:$}=await Promise.resolve().then(()=>(yU(),lve)),q=$.get("haiku_await_gate");if(!q)return ye("haiku_await_gate handler not registered \u2014 server.ts wiring is broken. File a bug.");let Q=await q.handle({intent:r,session_id:C.session_id,review_url:C.review_url,auto_open:!1,gate_context:x,next_stage:R,next_phase:A,...i?{state_file:i}:{}},t);if(Q.isError)return Q;let B=opr(Q);if(B&&new Set(["advance_phase","advance_stage","intent_approved","advance"]).has(B)){c=iy(r);continue}return Q}catch(C){let L=C instanceof Error?C.message:String(C),G=C instanceof Error?C.stack:"",W=L.includes("lost presence"),$=L==="aborted"||t?.aborted,q=$?"abort":W?"await":"prepare";console.error(`[haiku] gate_review ${q} failed: ${L}`),$||ms(C,{intent:r,stage:E});try{let Q=po(process.cwd(),".haiku","logs");ipr(Q,{recursive:!0}),spr(po(Q,"gate-review-error.log"),`${new Date().toISOString()}
 intent: ${r}
-stage: ${b}
-phase: ${B}
-error: ${F}
-${V}
+stage: ${E}
+phase: ${q}
+error: ${L}
+${G}
 ---
-`,{flag:"a"})}catch{}return Xr(r,e.state_file),B==="abort"?{content:[{type:"text",text:`GATE ABORTED: the tool call was cancelled while waiting for the browser. Call haiku_run_next { intent: "${r}" } to retry.`}],isError:!0}:B==="await"?{content:[{type:"text",text:`GATE DISCONNECTED: ${F}`}],isError:!0}:{content:[{type:"text",text:`GATE PREPARE FAILED: ${F}. Logged to .haiku/logs/gate-review-error.log. Call haiku_run_next { intent: "${r}" } to retry.`}],isError:!0}}}if(c.action==="safe_intent_repair")try{let{runRepairAgent:S}=await Promise.resolve().then(()=>(qNt(),HNt)),b=ve(),_=Oo(b,"intents",r),A=si(h)?.path;if(!A)return Xr(r,e.state_file),ye(m(c));let R=c.stage||"",x={slug:r,intentDir:_,studio:h,studioDir:A,activeStage:R,synthesizedStages:c.synthesized_stages||[],needsManualReview:c.needs_manual_review||[],phaseRegressed:c.phase_regressed,unitsMissingInputs:c.units_missing_inputs||[]},k=await S(x);{let N=gr(r,c.stage||void 0);if(!N.ok)return WE(r,c.stage||void 0,N,"after repair-agent run")}if(k.success&&!k.fallbackUsed){let N=rb(r);if(N.action!=="safe_intent_repair")return Ke("haiku.orchestrator.action",{intent:r,action:N.action}),i&&qi(i,{event:"run_next",intent:r,action:N.action,stage:N.stage,unit:N.unit,hat:N.hat,wave:N.wave}),Xr(r,e.state_file),{content:[{type:"text",text:`**Intent repaired automatically:** ${k.summary}
+`,{flag:"a"})}catch{}return Xr(r,e.state_file),q==="abort"?{content:[{type:"text",text:`GATE ABORTED: the tool call was cancelled while waiting for the browser. Call haiku_run_next { intent: "${r}" } to retry.`}],isError:!0}:q==="await"?{content:[{type:"text",text:`GATE DISCONNECTED: ${L}`}],isError:!0}:{content:[{type:"text",text:`GATE PREPARE FAILED: ${L}. Logged to .haiku/logs/gate-review-error.log. Call haiku_run_next { intent: "${r}" } to retry.`}],isError:!0}}}if(c.action==="safe_intent_repair")try{let{runRepairAgent:S}=await Promise.resolve().then(()=>(rNt(),nNt)),E=Te(),_=po(E,"intents",r),R=si(h)?.path;if(!R)return Xr(r,e.state_file),ye(m(c));let A=c.stage||"",x={slug:r,intentDir:_,studio:h,studioDir:R,activeStage:A,synthesizedStages:c.synthesized_stages||[],needsManualReview:c.needs_manual_review||[],phaseRegressed:c.phase_regressed,unitsMissingInputs:c.units_missing_inputs||[]},k=await S(x);{let P=gr(r,c.stage||void 0);if(!P.ok)return Zb(r,c.stage||void 0,P,"after repair-agent run")}if(k.success&&!k.fallbackUsed){let P=iy(r);if(P.action!=="safe_intent_repair")return Ke("haiku.orchestrator.action",{intent:r,action:P.action}),i&&qi(i,{event:"run_next",intent:r,action:P.action,stage:P.stage,unit:P.unit,hat:P.hat,wave:P.wave}),Xr(r,e.state_file),{content:[{type:"text",text:`**Intent repaired automatically:** ${k.summary}
 
 ---
 
-`+m(N)}]}}}catch{}try{let S=pe(r),b=Oo(S,"intent.md");if(Xu(b)){let _=UU(b,"utf8"),{data:T}=re(_),A=T.studio||"";if(A){let R=ai(r,A);if(R){let x=`haiku/${r}/${R}`,k=DD(r,R);!k.ok&&k.error&&console.error(`[haiku] auto-push of ${x} failed: ${k.error}`)}else{let x=`haiku/${r}/main`;if(jt(x)&&Z3(x)){let k=gg(x);!k.ok&&k.error&&console.error(`[haiku] auto-push of ${x} failed: ${k.error}`)}}}}}catch(S){console.error(`[haiku] auto-push end-of-tick check threw: ${S instanceof Error?S.message:String(S)}`)}Xr(r,e.state_file);let E=m(c);return ye(a?`${a}
+`+m(P)}]}}}catch{}try{let S=pe(r),E=po(S,"intent.md");if(su(E)){let _=Qx(E,"utf8"),{data:T}=re(_),R=T.studio||"";if(R){let A=ai(r,R);if(A){let x=`haiku/${r}/${A}`,k=zD(r,A);!k.ok&&k.error&&console.error(`[haiku] auto-push of ${x} failed: ${k.error}`)}else{let x=`haiku/${r}/main`;if(Pt(x)&&o3(x)){let k=yg(x);!k.ok&&k.error&&console.error(`[haiku] auto-push of ${x} failed: ${k.error}`)}}}}}catch(S){console.error(`[haiku] auto-push end-of-tick check threw: ${S instanceof Error?S.message:String(S)}`)}Xr(r,e.state_file);let b=m(c);return ye(a?`${a}
 
-${E}`:E)}}});import{existsSync as KNt,readFileSync as wfr}from"node:fs";import{join as WNt}from"node:path";function kfr(e){if(!KNt(e))return{};let t=wfr(e,"utf8"),{data:n}=re(t);return n}var Ifr,ZNt,YNt=v(()=>{"use strict";vr();zd();ZE();ji();uo();Yge();ze();To();Gi();Fv();vs();Ifr={continuous:"You're in chat for every stage gate. Best for first-time use or work you want to steer.",discrete:"Each stage opens a real GitHub PR / GitLab MR. Merging the PR is your approval signal.",autopilot:"Agent runs the whole pipeline. Only the pre-intent review and the final delivery PR require human attention.","discrete-hybrid":"Continuous within most stages, but specific stages declared with external review still pop a per-stage PR.",quick:"Single stage only. Operates like continuous but the workflow runs exactly one studio stage and stops. Not changeable mid-flight."},ZNt={name:"haiku_select_mode",description:"Select an execution mode for an intent. Pass the intent slug and optionally a list of mode names to limit the selection. If only one option is provided, auto-selects it. Otherwise opens a SPA picker and blocks on the user's selection. Side effects: writes `mode` to intent.md; for non-quick modes also writes `stages` (the studio's full stage list). For quick mode, leaves `stages` empty so the workflow routes to select_stage next. Refuses transitions into or out of `quick` once the intent has started a stage.",inputSchema:h0,async handle(e,t){let n=Be(e,_ge,"haiku_select_mode");if(n)return n;let r=e,i=r.intent,s=ve(),o=WNt(s,"intents",i),a=WNt(o,"intent.md");if(!KNt(a))return ye(JSON.stringify({error:"not_found",message:`Intent '${i}' not found`}));let c=kfr(a),u=c.studio||"";if(!u)return ye(JSON.stringify({error:"studio_not_selected",message:`Intent '${i}' has no studio selected. Call haiku_select_studio first.`}));let l=(c.mode||"").toLowerCase(),{findCurrentStage:d}=await Promise.resolve().then(()=>(xa(),k0)),p=!!(d(i,u)??""),m=f9.filter(b=>b!=="discrete-hybrid").filter(b=>b==="quick"?!p:!(l==="quick"&&p));if(m.length===0)return ye(JSON.stringify({error:"no_modes_available",message:`Intent '${i}' is in mode '${l}' and has started \u2014 no other mode is reachable from here without resetting.`}));let g=(r.options??[]).map(b=>b.toLowerCase());if(g.length>0){let b=g.filter(_=>!m.includes(_));if(b.length>0)return ye(JSON.stringify({error:"invalid_mode_options",message:`Mode option(s) [${b.join(", ")}] are not available for intent '${i}'. Available: ${m.join(", ")}.`}))}let E="";if(g.length===1)E=g[0];else{let _=(g.length===0?[...m]:g).map(A=>({id:A,label:A,description:Ifr[A]??A})),T=await Wu({intentSlug:i,kind:"mode",title:p?`Change mode for "${i}"`:`Pick a mode for "${i}"`,prompt:p?"You can adjust the mode mid-flight; in-flight stages keep their current shape until the next gate.":"Modes change how often the engine pauses for you. You can adjust this later, but the studio stays locked.",options:_,signal:t});if(T.timedOut||!T.selection)return ye(JSON.stringify({action:"cancelled",message:zn("Mode picker timed out without a selection.","Ask the user how they'd like to proceed \u2014 retry the picker or abandon this intent.")}));E=T.selection.id}if(E=E.toLowerCase(),!m.includes(E))return{content:[{type:"text",text:`Selected mode '${E}' is not available for intent '${i}'. Available: ${m.join(", ")}.`}],isError:!0};let S=gr(i,void 0);if(!S.ok)return{content:[{type:"text",text:`Error: branch enforcement failed after mode selection for intent '${i}' \u2014 ${S.message}. Resolve manually and retry.`}],isError:!0};if(De(a,"mode",E),E==="quick")Kh(a,["stages"]);else{let b=Fs(u);De(a,"stages",b)}return It(`haiku: select mode ${E} for intent ${i}`),Ke("haiku.mode.selected",{intent:i,mode:E,previous_mode:l||"(none)",intent_started:String(p)}),ye(JSON.stringify({action:"mode_selected",intent:i,mode:E,previous_mode:l||null,message:E==="quick"?zn(`The user picked **quick** mode for "${i}".`,`Call haiku_run_next { intent: "${i}" } \u2014 the engine will open the stage picker next.`):zn(`The user picked **${E}** mode for "${i}"${l&&l!==E?` (was ${l})`:""}.`,`Call haiku_run_next { intent: "${i}" } to continue.`)},null,2))}}});import{existsSync as XNt,readFileSync as xfr}from"node:fs";import{join as JNt}from"node:path";function Ofr(e){if(!XNt(e))return{};let t=xfr(e,"utf8"),{data:n}=re(t);return n}var QNt,$Nt=v(()=>{"use strict";vr();zd();ZE();ji();uo();ze();To();Gi();Fv();vs();QNt={name:"haiku_select_stage",description:"Select the single stage for a quick-mode intent. Pass the intent slug and optionally a list with one stage name to auto-select. Otherwise opens a SPA picker and blocks on the user's choice. Refuses if the intent's mode is not 'quick' or if a stage is already set.",inputSchema:m0,async handle(e,t){let n=Be(e,Tge,"haiku_select_stage");if(n)return n;let r=e,i=r.intent,s=ve(),o=JNt(s,"intents",i),a=JNt(o,"intent.md");if(!XNt(a))return ye(JSON.stringify({error:"not_found",message:`Intent '${i}' not found`}));let c=Ofr(a),u=c.studio||"";if(!u)return ye(JSON.stringify({error:"studio_not_selected",message:`Intent '${i}' has no studio selected. Call haiku_select_studio first.`}));let l=(c.mode||"").toLowerCase();if(l!=="quick")return ye(JSON.stringify({error:"mode_not_quick",message:`haiku_select_stage only applies to quick-mode intents (intent '${i}' is in '${l||"(none)"}' mode). Non-quick modes get the studio's full stage list set automatically by haiku_select_mode.`}));let d=c.stages||[];if(Array.isArray(d)&&d.length>0)return ye(JSON.stringify({error:"stage_already_set",message:`Intent '${i}' already has stages set (${JSON.stringify(d)}). Reset the intent if you need to pick a different stage.`}));let f=Fs(u);if(f.length===0)return{content:[{type:"text",text:`Studio '${u}' has no stages.`}],isError:!0};let h=(r.options??[]).map(g=>f.find(E=>E.toLowerCase()===g.toLowerCase())).filter(g=>!!g);if(h.length>1)return ye(JSON.stringify({error:"single_stage_required",message:`haiku_select_stage requires zero or one option (quick mode is single-stage). Got ${h.length}: [${h.join(", ")}].`}));let m="";if(h.length===1)m=h[0];else{let g=await Wu({intentSlug:i,kind:"stage",title:`Pick the single stage for "${i}"`,prompt:`Quick mode runs exactly one stage from the ${u} studio.`,options:f.map(E=>({id:E,label:E})),signal:t});if(g.timedOut||!g.selection)return ye(JSON.stringify({action:"cancelled",message:zn("Stage picker timed out without a selection.","Ask the user how they'd like to proceed \u2014 retry the picker or abandon this intent.")}));m=g.selection.id}if(!f.includes(m))return{content:[{type:"text",text:`Stage '${m}' is not in studio '${u}'. Available: ${f.join(", ")}.`}],isError:!0};let y=gr(i,void 0);return y.ok?(De(a,"stages",[m]),It(`haiku: select stage ${m} for quick intent ${i}`),Ke("haiku.stage.selected",{intent:i,stage:m,studio:u}),ye(JSON.stringify({action:"stage_selected",intent:i,stage:m,stages:[m],message:zn(`The user picked the **${m}** stage for quick intent "${i}".`,`Call haiku_run_next { intent: "${i}" } to continue.`)},null,2))):{content:[{type:"text",text:`Error: branch enforcement failed after stage selection for intent '${i}' \u2014 ${y.message}. Resolve manually and retry.`}],isError:!0}}}});function ePt(e,t){let n=new Map(e.map(a=>[a.name,a])),r=new Set(t),i=[];for(let a of t){let c=n.get(a);c&&!i.includes(c)&&i.push(c)}let s=[...i,...e.filter(a=>!r.has(a.name))],o=i.length>0;return s.map(a=>({id:a.dir,label:a.name,description:a.description??"",...o&&!r.has(a.name)?{secondary:!0}:{}}))}var tPt=v(()=>{"use strict"});import{existsSync as tve,readdirSync as Nfr,readFileSync as Pfr}from"node:fs";import{join as W6}from"node:path";var nPt,rPt=v(()=>{"use strict";vr();zd();ZE();ji();uo();ze();Kn();To();Gi();Fv();vs();tPt();nPt={name:"haiku_select_studio",description:"Select a studio for an intent. Pass the intent slug and optionally a list of studio names to limit the selection. If only one option is provided, auto-selects it. Otherwise opens a SPA picker and blocks on the user's selection. Refuses if the intent has already entered a stage. The studio is locked once written \u2014 it cannot be changed later.",inputSchema:p0,async handle(e,t){let n=Be(e,bge,"haiku_select_studio");if(n)return n;let r=e,i=r.intent,s=ve(),o=W6(s,"intents",i),a=W6(o,"intent.md");if(!tve(a))return ye(JSON.stringify({error:"not_found",message:`Intent '${i}' not found`}));let c=W6(o,"stages");if(tve(c))for(let h of Nfr(c,{withFileTypes:!0})){if(!h.isDirectory())continue;let m=W6(c,h.name,"state.json");if(tve(m)){let y=UE(m);if(y.status&&y.status!=="pending")return{content:[{type:"text",text:"Cannot change studio after intent has entered a stage. Studio is locked at start."}],isError:!0}}}let u=bI().filter(h=>h.data.deprecated!==!0);if(u.length===0)return{content:[{type:"text",text:"No studios available."}],isError:!0};let l=r.options??[],d="";if(l.length===1){let h=si(l[0]);if(!h)return{content:[{type:"text",text:`Studio '${l[0]}' not found. Available: ${u.map(m=>m.name).join(", ")}`}],isError:!0};d=h.dir}else{let m=l.map(E=>si(E)).filter(E=>E!==null).map(E=>E.name);if(m.length===0){let E=[];try{let{data:S}=re(Pfr(a,"utf8"));E=S.studio_candidates}catch{}Array.isArray(E)&&(m=E.filter(S=>typeof S=="string").map(S=>si(S)).filter(S=>S!==null).map(S=>S.name))}let y=ePt(u,m),g=await Wu({intentSlug:i,kind:"studio",title:`Pick a studio for "${i}"`,prompt:"Studios are locked once chosen \u2014 pick the lifecycle that matches the work. You can adjust the mode mid-flight, but not the studio.",options:y,signal:t});if(g.timedOut||!g.selection)return ye(JSON.stringify({action:"cancelled",message:zn("Studio picker timed out without a selection.","Ask the user how they'd like to proceed \u2014 retry the picker or abandon the intent.")}));d=g.selection.id}if(!d)return{content:[{type:"text",text:"No studio selected."}],isError:!0};let f=gr(i,void 0);if(!f.ok)return{content:[{type:"text",text:`Error: branch enforcement failed after studio selection for intent '${i}' \u2014 ${f.message}. Resolve manually and retry.`}],isError:!0};let p=Fs(d);return De(a,"studio",d),It(`haiku: select studio ${d} for intent ${i}`),Ke("haiku.studio.selected",{intent:i,studio:d}),ye(JSON.stringify({action:"studio_selected",intent:i,studio:d,all_studio_stages:p,message:zn(`The user selected the **${d}** studio for "${i}". Studio is now locked.`,"Continue the tick \u2014 the engine will drive the next selection (mode, then stage if quick) automatically.")},null,2))}}});import{existsSync as iPt,readFileSync as Cfr,writeFileSync as Mfr}from"node:fs";import{join as sPt}from"node:path";var nve,oPt,aPt=v(()=>{"use strict";nve=Se(Xt(),1);vr();Sx();ji();uo();ze();Gi();vs();oPt={name:"haiku_stage_decompose_seal",description:"Stamp `decompose_verified_at` on the per-stage elaboration artifact's frontmatter. The decompose-verifier subagent calls this on a pass; the agent must NOT call it directly. Stamps the verification timestamp and optional notes, freeing the cursor to advance past `decompose_review`. Idempotent (no-op when already verified).",inputSchema:E0,handle(e){let t=Be(e,wge,"haiku_stage_decompose_seal");if(t)return t;let n=e.intent,r=e.stage,i=e.nonce,s=e.notes??"",o=yx({kind:"stage_decompose",slug:n,stage:r},i);if(!o.ok)return{content:[{type:"text",text:JSON.stringify({error:"verifier_nonce_invalid",tool:"haiku_stage_decompose_seal",reason:o.reason,message:o.reason==="missing"?`No pending decompose-verifier nonce for '${n}/${r}'. The cursor only mints a nonce when emitting the decompose_review action \u2014 call haiku_run_next first, dispatch the verifier subagent with the nonce on the action payload, then have the subagent call this tool with that nonce.`:`Decompose-verifier nonce for '${n}/${r}' does not match the cursor's pending value. If the elaboration was re-recorded since the verifier was dispatched, the nonce was rotated \u2014 re-tick to get the new value.`},null,2)}],isError:!0};let a=ve(),c=sPt(a,"intents",n);if(!iPt(c))return{content:[{type:"text",text:JSON.stringify({error:"intent_not_found",tool:"haiku_stage_decompose_seal",message:`Intent '${n}' not found.`},null,2)}],isError:!0};let u=sPt(c,"stages",r,"elaboration.md");if(!iPt(u))return{content:[{type:"text",text:JSON.stringify({error:"elaboration_not_found",tool:"haiku_stage_decompose_seal",message:`No elaboration artifact at ${u}. The conversation-elaborate gate must pass before decompose-verify can stamp it.`},null,2)}],isError:!0};let l=gr(n,r);if(!l.ok)return{content:[{type:"text",text:`Error: branch enforcement failed for decompose seal on '${n}/${r}' \u2014 ${l.message}. Resolve manually and retry.`}],isError:!0};let d=Cfr(u,"utf8"),f=(0,nve.default)(d),p=f.data;if(typeof p.decompose_verified_at=="string"&&p.decompose_verified_at)return ye(JSON.stringify({action:"noop",slug:n,stage:r,path:u,decompose_verified_at:p.decompose_verified_at,message:`Decompose for '${n}/${r}' is already verified.`},null,2));let h=new Date().toISOString(),m={...p,decompose_verified_at:h};return s.trim()&&(m.decompose_verified_notes=s.trim()),Mfr(u,nve.default.stringify(f.content,m)),It(`haiku: seal decompose for ${n}/${r}`),ye(JSON.stringify({action:"decompose_sealed",slug:n,stage:r,path:u,decompose_verified_at:h,...s.trim()?{decompose_verified_notes:s.trim()}:{},message:`Sealed decompose for '${n}/${r}'. The cursor will advance past decompose_review on the next tick.`},null,2))}}});import{existsSync as Dfr,mkdirSync as Lfr,writeFileSync as Ufr}from"node:fs";import{join as rve}from"node:path";var cPt,uPt,lPt=v(()=>{"use strict";cPt=Se(Xt(),1);vr();Sx();ji();uo();ze();Gi();vs();uPt={name:"haiku_stage_elaboration_record",description:"Capture the per-stage human-conversation outcome at `stages/<stage>/elaboration.md`. Call this when the conversation with the user has reached alignment for the active stage's `elaborate` action. The artifact's frontmatter records `recorded_at`; `verified_at` is stamped separately by the verifier subagent. Overwrites any prior artifact (clearing a stale `verified_at`). Cursor stays at `elaborate_review` until the verifier seals the artifact.",inputSchema:y0,handle(e){let t=Be(e,Age,"haiku_stage_elaboration_record");if(t)return t;let n=e.intent,r=e.stage,i=e.body,s=ve(),o=rve(s,"intents",n);if(!Dfr(o))return{content:[{type:"text",text:JSON.stringify({error:"intent_not_found",tool:"haiku_stage_elaboration_record",message:`Intent '${n}' not found.`},null,2)}],isError:!0};let a=rve(o,"stages",r),c=gr(n,r);if(!c.ok)return{content:[{type:"text",text:`Error: branch enforcement failed for elaboration record on '${n}/${r}' \u2014 ${c.message}. Resolve manually and retry.`}],isError:!0};Lfr(a,{recursive:!0});let u=rve(a,"elaboration.md"),l=new Date().toISOString(),d={recorded_at:l,intent:n,stage:r};return Ufr(u,cPt.default.stringify(i,d)),Bbe({kind:"stage_elaborate",slug:n,stage:r}),Bbe({kind:"stage_decompose",slug:n,stage:r}),It(`haiku: record elaboration for ${n}/${r}`),ye(JSON.stringify({action:"elaboration_recorded",slug:n,stage:r,path:u,recorded_at:l,message:`Captured elaboration for '${n}/${r}'. The cursor will dispatch the verifier on the next tick.`},null,2))}}});import{existsSync as dPt,readFileSync as Ffr,writeFileSync as jfr}from"node:fs";import{join as fPt}from"node:path";var ive,pPt,hPt=v(()=>{"use strict";ive=Se(Xt(),1);vr();Sx();ji();uo();ze();Gi();vs();pPt={name:"haiku_stage_elaboration_seal",description:"Stamp `verified_at` on the per-stage elaboration artifact's frontmatter. The verifier subagent calls this on a pass; the agent must NOT call it directly. Stamps the verification timestamp and optional notes, freeing the cursor to advance past `elaborate_review`. Idempotent (no-op when already verified).",inputSchema:S0,handle(e){let t=Be(e,Rge,"haiku_stage_elaboration_seal");if(t)return t;let n=e.intent,r=e.stage,i=e.nonce,s=e.notes??"",o=yx({kind:"stage_elaborate",slug:n,stage:r},i);if(!o.ok)return{content:[{type:"text",text:JSON.stringify({error:"verifier_nonce_invalid",tool:"haiku_stage_elaboration_seal",reason:o.reason,message:o.reason==="missing"?`No pending verifier nonce for '${n}/${r}'. The cursor only mints a nonce when emitting the elaborate_review action \u2014 call haiku_run_next first, dispatch the verifier subagent with the nonce on the action payload, then have the subagent call this tool with that nonce.`:`Verifier nonce for '${n}/${r}' does not match the cursor's pending value. If the elaboration was re-recorded since the verifier was dispatched, the nonce was rotated \u2014 re-tick to get the new value.`},null,2)}],isError:!0};let a=ve(),c=fPt(a,"intents",n);if(!dPt(c))return{content:[{type:"text",text:JSON.stringify({error:"intent_not_found",tool:"haiku_stage_elaboration_seal",message:`Intent '${n}' not found.`},null,2)}],isError:!0};let u=fPt(c,"stages",r,"elaboration.md");if(!dPt(u))return{content:[{type:"text",text:JSON.stringify({error:"elaboration_not_found",tool:"haiku_stage_elaboration_seal",message:`No elaboration artifact at ${u}. The agent must call \`haiku_stage_elaboration_record\` before the verifier can seal it.`},null,2)}],isError:!0};let l=gr(n,r);if(!l.ok)return{content:[{type:"text",text:`Error: branch enforcement failed for elaboration seal on '${n}/${r}' \u2014 ${l.message}. Resolve manually and retry.`}],isError:!0};let d=Ffr(u,"utf8"),f=(0,ive.default)(d),p=f.data;if(typeof p.verified_at=="string"&&p.verified_at)return ye(JSON.stringify({action:"noop",slug:n,stage:r,path:u,verified_at:p.verified_at,message:`Elaboration for '${n}/${r}' is already verified.`},null,2));let h=new Date().toISOString(),m={...p,verified_at:h};return s.trim()&&(m.verified_notes=s.trim()),jfr(u,ive.default.stringify(f.content,m)),It(`haiku: seal elaboration for ${n}/${r}`),ye(JSON.stringify({action:"elaboration_sealed",slug:n,stage:r,path:u,verified_at:h,...s.trim()?{verified_notes:s.trim()}:{},message:`Sealed elaboration for '${n}/${r}'. The cursor will advance past elaborate on the next tick.`},null,2))}}});import{execFileSync as sve}from"node:child_process";import{existsSync as FU,readdirSync as mPt,readFileSync as Hfr,rmSync as gPt,statSync as yPt}from"node:fs";import{join as sb}from"node:path";var SPt,EPt=v(()=>{"use strict";vr();ZE();ji();uo();ze();Gi();vs();SPt={name:"haiku_stage_reset",description:"Reset ONE stage of an intent: wipe its units, outputs, artifacts, elaboration, feedback, and stage branch. The intent's other stages are untouched. Use after fixing the stage's hat instructions or studio config when the user wants the agent to re-run that stage cleanly. Requires user confirmation via the SPA picker.",inputSchema:d0,async handle(e,t){let n=Be(e,mge,"haiku_stage_reset");if(n)return n;let{intent:r,stage:i}=e,s=ve(),o=sb(s,"intents",r),a=sb(o,"intent.md");if(!FU(a))return{content:[{type:"text",text:`Intent '${r}' not found.`}],isError:!0};let c=sb(o,"stages",i);if(!FU(c))return{content:[{type:"text",text:`Stage '${i}' not found on intent '${r}' (no \`stages/${i}/\` directory).`}],isError:!0};let u=[];for(let m of["units","outputs","artifacts","feedback","elaboration.md","decisions.jsonl"]){let y=sb(c,m);FU(y)&&u.push(m)}let l=sb(c,"discovery"),d=(()=>{if(!FU(l))return!1;try{return mPt(l).some(m=>{let y=sb(l,m);try{return yPt(y).isFile()&&m.endsWith(".md")}catch{return!1}})}catch{return!1}})();d&&u.push("discovery (outputs only, templates preserved)");let f=`haiku/${r}/${i}`,p=Re()&&jt(f);if(p&&u.push(`git branch \`${f}\``),u.length===0)return ye(JSON.stringify({action:"noop",message:`Stage '${i}' has no resettable state \u2014 already clean.`}));let h=await Wu({intentSlug:r,kind:"confirm",title:`Reset stage "${i}" on intent "${r}"?`,prompt:`This will DELETE the following from stage '${i}':
+${b}`:b)}}});import{existsSync as uNt,readFileSync as cpr}from"node:fs";import{join as cNt}from"node:path";function upr(e){if(!uNt(e))return{};let t=cpr(e,"utf8"),{data:n}=re(t);return n}var lpr,lNt,dNt=v(()=>{"use strict";yr();Kd();Xb();ji();uo();sye();Ge();vo();zi();Hv();vs();lpr={continuous:"You're in chat for every stage gate. Best for first-time use or work you want to steer.",discrete:"Each stage opens a real GitHub PR / GitLab MR. Merging the PR is your approval signal.",autopilot:"Agent runs the whole pipeline. Only the pre-intent review and the final delivery PR require human attention.","discrete-hybrid":"Continuous within most stages, but specific stages declared with external review still pop a per-stage PR.",quick:"Single stage only. Operates like continuous but the workflow runs exactly one studio stage and stops. Not changeable mid-flight."},lNt={name:"haiku_select_mode",description:"Select an execution mode for an intent. Pass the intent slug and optionally a list of mode names to limit the selection. If only one option is provided, auto-selects it. Otherwise opens a SPA picker and blocks on the user's selection. Side effects: writes `mode` to intent.md; for non-quick modes also writes `stages` (the studio's full stage list). For quick mode, leaves `stages` empty so the workflow routes to select_stage next. Refuses transitions into or out of `quick` once the intent has started a stage.",inputSchema:g0,async handle(e,t){let n=Be(e,Pge,"haiku_select_mode");if(n)return n;let r=e,i=r.intent,s=Te(),o=cNt(s,"intents",i),a=cNt(o,"intent.md");if(!uNt(a))return ye(JSON.stringify({error:"not_found",message:`Intent '${i}' not found`}));let c=upr(a),u=c.studio||"";if(!u)return ye(JSON.stringify({error:"studio_not_selected",message:`Intent '${i}' has no studio selected. Call haiku_select_studio first.`}));let l=(c.mode||"").toLowerCase(),{findCurrentStage:d}=await Promise.resolve().then(()=>(Oa(),O0)),p=!!(d(i,u)??""),m=wY.filter(E=>E!=="discrete-hybrid").filter(E=>E==="quick"?!p:!(l==="quick"&&p));if(m.length===0)return ye(JSON.stringify({error:"no_modes_available",message:`Intent '${i}' is in mode '${l}' and has started \u2014 no other mode is reachable from here without resetting.`}));let y=(r.options??[]).map(E=>E.toLowerCase());if(y.length>0){let E=y.filter(_=>!m.includes(_));if(E.length>0)return ye(JSON.stringify({error:"invalid_mode_options",message:`Mode option(s) [${E.join(", ")}] are not available for intent '${i}'. Available: ${m.join(", ")}.`}))}let b="";if(y.length===1)b=y[0];else{let _=(y.length===0?[...m]:y).map(R=>({id:R,label:R,description:lpr[R]??R})),T=await Ju({intentSlug:i,kind:"mode",title:p?`Change mode for "${i}"`:`Pick a mode for "${i}"`,prompt:p?"You can adjust the mode mid-flight; in-flight stages keep their current shape until the next gate.":"Modes change how often the engine pauses for you. You can adjust this later, but the studio stays locked.",options:_,signal:t});if(T.timedOut||!T.selection)return ye(JSON.stringify({action:"cancelled",message:Gn("Mode picker timed out without a selection.","Ask the user how they'd like to proceed \u2014 retry the picker or abandon this intent.")}));b=T.selection.id}if(b=b.toLowerCase(),!m.includes(b))return{content:[{type:"text",text:`Selected mode '${b}' is not available for intent '${i}'. Available: ${m.join(", ")}.`}],isError:!0};let S=gr(i,void 0);if(!S.ok)return{content:[{type:"text",text:`Error: branch enforcement failed after mode selection for intent '${i}' \u2014 ${S.message}. Resolve manually and retry.`}],isError:!0};if(Me(a,"mode",b),b==="quick")Yh(a,["stages"]);else{let E=Fs(u);Me(a,"stages",E)}return wt(`haiku: select mode ${b} for intent ${i}`),Ke("haiku.mode.selected",{intent:i,mode:b,previous_mode:l||"(none)",intent_started:String(p)}),ye(JSON.stringify({action:"mode_selected",intent:i,mode:b,previous_mode:l||null,message:b==="quick"?Gn(`The user picked **quick** mode for "${i}".`,`Call haiku_run_next { intent: "${i}" } \u2014 the engine will open the stage picker next.`):Gn(`The user picked **${b}** mode for "${i}"${l&&l!==b?` (was ${l})`:""}.`,`Call haiku_run_next { intent: "${i}" } to continue.`)},null,2))}}});import{existsSync as pNt,readFileSync as dpr}from"node:fs";import{join as fNt}from"node:path";function fpr(e){if(!pNt(e))return{};let t=dpr(e,"utf8"),{data:n}=re(t);return n}var hNt,mNt=v(()=>{"use strict";yr();Kd();Xb();ji();uo();Ge();vo();zi();Hv();vs();hNt={name:"haiku_select_stage",description:"Select the single stage for a quick-mode intent. Pass the intent slug and optionally a list with one stage name to auto-select. Otherwise opens a SPA picker and blocks on the user's choice. Refuses if the intent's mode is not 'quick' or if a stage is already set.",inputSchema:y0,async handle(e,t){let n=Be(e,Nge,"haiku_select_stage");if(n)return n;let r=e,i=r.intent,s=Te(),o=fNt(s,"intents",i),a=fNt(o,"intent.md");if(!pNt(a))return ye(JSON.stringify({error:"not_found",message:`Intent '${i}' not found`}));let c=fpr(a),u=c.studio||"";if(!u)return ye(JSON.stringify({error:"studio_not_selected",message:`Intent '${i}' has no studio selected. Call haiku_select_studio first.`}));let l=(c.mode||"").toLowerCase();if(l!=="quick")return ye(JSON.stringify({error:"mode_not_quick",message:`haiku_select_stage only applies to quick-mode intents (intent '${i}' is in '${l||"(none)"}' mode). Non-quick modes get the studio's full stage list set automatically by haiku_select_mode.`}));let d=c.stages||[];if(Array.isArray(d)&&d.length>0)return ye(JSON.stringify({error:"stage_already_set",message:`Intent '${i}' already has stages set (${JSON.stringify(d)}). Reset the intent if you need to pick a different stage.`}));let f=Fs(u);if(f.length===0)return{content:[{type:"text",text:`Studio '${u}' has no stages.`}],isError:!0};let h=(r.options??[]).map(y=>f.find(b=>b.toLowerCase()===y.toLowerCase())).filter(y=>!!y);if(h.length>1)return ye(JSON.stringify({error:"single_stage_required",message:`haiku_select_stage requires zero or one option (quick mode is single-stage). Got ${h.length}: [${h.join(", ")}].`}));let m="";if(h.length===1)m=h[0];else{let y=await Ju({intentSlug:i,kind:"stage",title:`Pick the single stage for "${i}"`,prompt:`Quick mode runs exactly one stage from the ${u} studio.`,options:f.map(b=>({id:b,label:b})),signal:t});if(y.timedOut||!y.selection)return ye(JSON.stringify({action:"cancelled",message:Gn("Stage picker timed out without a selection.","Ask the user how they'd like to proceed \u2014 retry the picker or abandon this intent.")}));m=y.selection.id}if(!f.includes(m))return{content:[{type:"text",text:`Stage '${m}' is not in studio '${u}'. Available: ${f.join(", ")}.`}],isError:!0};let g=gr(i,void 0);return g.ok?(Me(a,"stages",[m]),wt(`haiku: select stage ${m} for quick intent ${i}`),Ke("haiku.stage.selected",{intent:i,stage:m,studio:u}),ye(JSON.stringify({action:"stage_selected",intent:i,stage:m,stages:[m],message:Gn(`The user picked the **${m}** stage for quick intent "${i}".`,`Call haiku_run_next { intent: "${i}" } to continue.`)},null,2))):{content:[{type:"text",text:`Error: branch enforcement failed after stage selection for intent '${i}' \u2014 ${g.message}. Resolve manually and retry.`}],isError:!0}}}});function gNt(e,t){let n=new Map(e.map(a=>[a.name,a])),r=new Set(t),i=[];for(let a of t){let c=n.get(a);c&&!i.includes(c)&&i.push(c)}let s=[...i,...e.filter(a=>!r.has(a.name))],o=i.length>0;return s.map(a=>({id:a.dir,label:a.name,description:a.description??"",...o&&!r.has(a.name)?{secondary:!0}:{}}))}var yNt=v(()=>{"use strict"});import{existsSync as fve,readdirSync as ppr,readFileSync as hpr}from"node:fs";import{join as a8}from"node:path";var SNt,bNt=v(()=>{"use strict";yr();Kd();Xb();ji();uo();Ge();Kn();vo();zi();Hv();vs();yNt();SNt={name:"haiku_select_studio",description:"Select a studio for an intent. Pass the intent slug and optionally a list of studio names to limit the selection. If only one option is provided, auto-selects it. Otherwise opens a SPA picker and blocks on the user's selection. Refuses if the intent has already entered a stage. The studio is locked once written \u2014 it cannot be changed later.",inputSchema:m0,async handle(e,t){let n=Be(e,Oge,"haiku_select_studio");if(n)return n;let r=e,i=r.intent,s=Te(),o=a8(s,"intents",i),a=a8(o,"intent.md");if(!fve(a))return ye(JSON.stringify({error:"not_found",message:`Intent '${i}' not found`}));let c=a8(o,"stages");if(fve(c))for(let h of ppr(c,{withFileTypes:!0})){if(!h.isDirectory())continue;let m=a8(c,h.name,"state.json");if(fve(m)){let g=Hb(m);if(g.status&&g.status!=="pending")return{content:[{type:"text",text:"Cannot change studio after intent has entered a stage. Studio is locked at start."}],isError:!0}}}let u=TI().filter(h=>h.data.deprecated!==!0);if(u.length===0)return{content:[{type:"text",text:"No studios available."}],isError:!0};let l=r.options??[],d="";if(l.length===1){let h=si(l[0]);if(!h)return{content:[{type:"text",text:`Studio '${l[0]}' not found. Available: ${u.map(m=>m.name).join(", ")}`}],isError:!0};d=h.dir}else{let m=l.map(b=>si(b)).filter(b=>b!==null).map(b=>b.name);if(m.length===0){let b=[];try{let{data:S}=re(hpr(a,"utf8"));b=S.studio_candidates}catch{}Array.isArray(b)&&(m=b.filter(S=>typeof S=="string").map(S=>si(S)).filter(S=>S!==null).map(S=>S.name))}let g=gNt(u,m),y=await Ju({intentSlug:i,kind:"studio",title:`Pick a studio for "${i}"`,prompt:"Studios are locked once chosen \u2014 pick the lifecycle that matches the work. You can adjust the mode mid-flight, but not the studio.",options:g,signal:t});if(y.timedOut||!y.selection)return ye(JSON.stringify({action:"cancelled",message:Gn("Studio picker timed out without a selection.","Ask the user how they'd like to proceed \u2014 retry the picker or abandon the intent.")}));d=y.selection.id}if(!d)return{content:[{type:"text",text:"No studio selected."}],isError:!0};let f=gr(i,void 0);if(!f.ok)return{content:[{type:"text",text:`Error: branch enforcement failed after studio selection for intent '${i}' \u2014 ${f.message}. Resolve manually and retry.`}],isError:!0};let p=Fs(d);return Me(a,"studio",d),wt(`haiku: select studio ${d} for intent ${i}`),Ke("haiku.studio.selected",{intent:i,studio:d}),ye(JSON.stringify({action:"studio_selected",intent:i,studio:d,all_studio_stages:p,message:Gn(`The user selected the **${d}** studio for "${i}". Studio is now locked.`,"Continue the tick \u2014 the engine will drive the next selection (mode, then stage if quick) automatically.")},null,2))}}});import{existsSync as ENt,readFileSync as mpr,writeFileSync as gpr}from"node:fs";import{join as _Nt}from"node:path";var pve,TNt,vNt=v(()=>{"use strict";pve=Re(Kt(),1);yr();Rx();ji();uo();Ge();zi();vs();TNt={name:"haiku_stage_decompose_seal",description:"Stamp `decompose_verified_at` on the per-stage elaboration artifact's frontmatter. The decompose-verifier subagent calls this on a pass; the agent must NOT call it directly. Stamps the verification timestamp and optional notes, freeing the cursor to advance past `decompose_review`. Idempotent (no-op when already verified).",inputSchema:_0,handle(e){let t=Be(e,Lge,"haiku_stage_decompose_seal");if(t)return t;let n=e.intent,r=e.stage,i=e.nonce,s=e.notes??"",o=vx({kind:"stage_decompose",slug:n,stage:r},i);if(!o.ok)return{content:[{type:"text",text:JSON.stringify({error:"verifier_nonce_invalid",tool:"haiku_stage_decompose_seal",reason:o.reason,message:o.reason==="missing"?`No pending decompose-verifier nonce for '${n}/${r}'. The cursor only mints a nonce when emitting the decompose_review action \u2014 call haiku_run_next first, dispatch the verifier subagent with the nonce on the action payload, then have the subagent call this tool with that nonce.`:`Decompose-verifier nonce for '${n}/${r}' does not match the cursor's pending value. If the elaboration was re-recorded since the verifier was dispatched, the nonce was rotated \u2014 re-tick to get the new value.`},null,2)}],isError:!0};let a=Te(),c=_Nt(a,"intents",n);if(!ENt(c))return{content:[{type:"text",text:JSON.stringify({error:"intent_not_found",tool:"haiku_stage_decompose_seal",message:`Intent '${n}' not found.`},null,2)}],isError:!0};let u=_Nt(c,"stages",r,"elaboration.md");if(!ENt(u))return{content:[{type:"text",text:JSON.stringify({error:"elaboration_not_found",tool:"haiku_stage_decompose_seal",message:`No elaboration artifact at ${u}. The conversation-elaborate gate must pass before decompose-verify can stamp it.`},null,2)}],isError:!0};let l=gr(n,r);if(!l.ok)return{content:[{type:"text",text:`Error: branch enforcement failed for decompose seal on '${n}/${r}' \u2014 ${l.message}. Resolve manually and retry.`}],isError:!0};let d=mpr(u,"utf8"),f=(0,pve.default)(d),p=f.data;if(typeof p.decompose_verified_at=="string"&&p.decompose_verified_at)return ye(JSON.stringify({action:"noop",slug:n,stage:r,path:u,decompose_verified_at:p.decompose_verified_at,message:`Decompose for '${n}/${r}' is already verified.`},null,2));let h=new Date().toISOString(),m={...p,decompose_verified_at:h};return s.trim()&&(m.decompose_verified_notes=s.trim()),gpr(u,pve.default.stringify(f.content,m)),wt(`haiku: seal decompose for ${n}/${r}`),ye(JSON.stringify({action:"decompose_sealed",slug:n,stage:r,path:u,decompose_verified_at:h,...s.trim()?{decompose_verified_notes:s.trim()}:{},message:`Sealed decompose for '${n}/${r}'. The cursor will advance past decompose_review on the next tick.`},null,2))}}});import{existsSync as ypr,mkdirSync as Spr,writeFileSync as bpr}from"node:fs";import{join as hve}from"node:path";var RNt,ANt,wNt=v(()=>{"use strict";RNt=Re(Kt(),1);yr();Rx();ji();uo();Ge();zi();vs();ANt={name:"haiku_stage_elaboration_record",description:"Capture the per-stage human-conversation outcome at `stages/<stage>/elaboration.md`. Call this when the conversation with the user has reached alignment for the active stage's `elaborate` action. The artifact's frontmatter records `recorded_at`; `verified_at` is stamped separately by the verifier subagent. Overwrites any prior artifact (clearing a stale `verified_at`). Cursor stays at `elaborate_review` until the verifier seals the artifact.",inputSchema:b0,handle(e){let t=Be(e,Mge,"haiku_stage_elaboration_record");if(t)return t;let n=e.intent,r=e.stage,i=e.body,s=Te(),o=hve(s,"intents",n);if(!ypr(o))return{content:[{type:"text",text:JSON.stringify({error:"intent_not_found",tool:"haiku_stage_elaboration_record",message:`Intent '${n}' not found.`},null,2)}],isError:!0};let a=hve(o,"stages",r),c=gr(n,r);if(!c.ok)return{content:[{type:"text",text:`Error: branch enforcement failed for elaboration record on '${n}/${r}' \u2014 ${c.message}. Resolve manually and retry.`}],isError:!0};Spr(a,{recursive:!0});let u=hve(a,"elaboration.md"),l=new Date().toISOString(),d={recorded_at:l,intent:n,stage:r};return bpr(u,RNt.default.stringify(i,d)),$Ee({kind:"stage_elaborate",slug:n,stage:r}),$Ee({kind:"stage_decompose",slug:n,stage:r}),wt(`haiku: record elaboration for ${n}/${r}`),ye(JSON.stringify({action:"elaboration_recorded",slug:n,stage:r,path:u,recorded_at:l,message:`Captured elaboration for '${n}/${r}'. The cursor will dispatch the verifier on the next tick.`},null,2))}}});import{existsSync as kNt,readFileSync as Epr,writeFileSync as _pr}from"node:fs";import{join as INt}from"node:path";var mve,xNt,ONt=v(()=>{"use strict";mve=Re(Kt(),1);yr();Rx();ji();uo();Ge();zi();vs();xNt={name:"haiku_stage_elaboration_seal",description:"Stamp `verified_at` on the per-stage elaboration artifact's frontmatter. The verifier subagent calls this on a pass; the agent must NOT call it directly. Stamps the verification timestamp and optional notes, freeing the cursor to advance past `elaborate_review`. Idempotent (no-op when already verified).",inputSchema:E0,handle(e){let t=Be(e,Dge,"haiku_stage_elaboration_seal");if(t)return t;let n=e.intent,r=e.stage,i=e.nonce,s=e.notes??"",o=vx({kind:"stage_elaborate",slug:n,stage:r},i);if(!o.ok)return{content:[{type:"text",text:JSON.stringify({error:"verifier_nonce_invalid",tool:"haiku_stage_elaboration_seal",reason:o.reason,message:o.reason==="missing"?`No pending verifier nonce for '${n}/${r}'. The cursor only mints a nonce when emitting the elaborate_review action \u2014 call haiku_run_next first, dispatch the verifier subagent with the nonce on the action payload, then have the subagent call this tool with that nonce.`:`Verifier nonce for '${n}/${r}' does not match the cursor's pending value. If the elaboration was re-recorded since the verifier was dispatched, the nonce was rotated \u2014 re-tick to get the new value.`},null,2)}],isError:!0};let a=Te(),c=INt(a,"intents",n);if(!kNt(c))return{content:[{type:"text",text:JSON.stringify({error:"intent_not_found",tool:"haiku_stage_elaboration_seal",message:`Intent '${n}' not found.`},null,2)}],isError:!0};let u=INt(c,"stages",r,"elaboration.md");if(!kNt(u))return{content:[{type:"text",text:JSON.stringify({error:"elaboration_not_found",tool:"haiku_stage_elaboration_seal",message:`No elaboration artifact at ${u}. The agent must call \`haiku_stage_elaboration_record\` before the verifier can seal it.`},null,2)}],isError:!0};let l=gr(n,r);if(!l.ok)return{content:[{type:"text",text:`Error: branch enforcement failed for elaboration seal on '${n}/${r}' \u2014 ${l.message}. Resolve manually and retry.`}],isError:!0};let d=Epr(u,"utf8"),f=(0,mve.default)(d),p=f.data;if(typeof p.verified_at=="string"&&p.verified_at)return ye(JSON.stringify({action:"noop",slug:n,stage:r,path:u,verified_at:p.verified_at,message:`Elaboration for '${n}/${r}' is already verified.`},null,2));let h=new Date().toISOString(),m={...p,verified_at:h};return s.trim()&&(m.verified_notes=s.trim()),_pr(u,mve.default.stringify(f.content,m)),wt(`haiku: seal elaboration for ${n}/${r}`),ye(JSON.stringify({action:"elaboration_sealed",slug:n,stage:r,path:u,verified_at:h,...s.trim()?{verified_notes:s.trim()}:{},message:`Sealed elaboration for '${n}/${r}'. The cursor will advance past elaborate on the next tick.`},null,2))}}});import{execFileSync as gve}from"node:child_process";import{existsSync as JU,readdirSync as PNt,readFileSync as Tpr,rmSync as NNt,statSync as CNt}from"node:fs";import{join as aE}from"node:path";var MNt,DNt=v(()=>{"use strict";yr();Xb();ji();uo();Ge();zi();vs();MNt={name:"haiku_stage_reset",description:"Reset ONE stage of an intent: wipe its units, outputs, artifacts, elaboration, feedback, and stage branch. The intent's other stages are untouched. Use after fixing the stage's hat instructions or studio config when the user wants the agent to re-run that stage cleanly. Requires user confirmation via the SPA picker.",inputSchema:p0,async handle(e,t){let n=Be(e,Age,"haiku_stage_reset");if(n)return n;let{intent:r,stage:i}=e,s=Te(),o=aE(s,"intents",r),a=aE(o,"intent.md");if(!JU(a))return{content:[{type:"text",text:`Intent '${r}' not found.`}],isError:!0};let c=aE(o,"stages",i);if(!JU(c))return{content:[{type:"text",text:`Stage '${i}' not found on intent '${r}' (no \`stages/${i}/\` directory).`}],isError:!0};let u=[];for(let m of["units","outputs","artifacts","feedback","elaboration.md","decisions.jsonl"]){let g=aE(c,m);JU(g)&&u.push(m)}let l=aE(c,"discovery"),d=(()=>{if(!JU(l))return!1;try{return PNt(l).some(m=>{let g=aE(l,m);try{return CNt(g).isFile()&&m.endsWith(".md")}catch{return!1}})}catch{return!1}})();d&&u.push("discovery (outputs only, templates preserved)");let f=`haiku/${r}/${i}`,p=ve()&&Pt(f);if(p&&u.push(`git branch \`${f}\``),u.length===0)return ye(JSON.stringify({action:"noop",message:`Stage '${i}' has no resettable state \u2014 already clean.`}));let h=await Ju({intentSlug:r,kind:"confirm",title:`Reset stage "${i}" on intent "${r}"?`,prompt:`This will DELETE the following from stage '${i}':
 
 - ${u.join(`
 - `)}
 
-Other stages of '${r}' will NOT be touched. Intent main's git history (including any prior merge of this stage) stays put. The next \`haiku_run_next\` will re-enter '${i}' at its elaborate phase. This cannot be undone.`,options:[{id:"reset",label:`Yes, reset stage ${i}`,description:"Wipe the stage and let the engine re-run it"},{id:"cancel",label:"Cancel",description:"Keep the stage as-is"}],signal:t});if(h.timedOut||!h.selection||h.selection.id!=="reset")return ye(JSON.stringify({action:"cancelled",message:`Reset of stage '${i}' cancelled.`}));if(Re())try{let m="";try{m=sve("git",["rev-parse","--abbrev-ref","HEAD"],{encoding:"utf8",stdio:"pipe"}).trim()}catch{}if(m===f){let y=`haiku/${r}/main`,g=pc(),E=jt(y)?y:g;try{sve("git",["checkout",E],{encoding:"utf8",stdio:"pipe"})}catch{sve("git",["checkout",`${E}^0`],{encoding:"utf8",stdio:"pipe"})}}}catch(m){return{content:[{type:"text",text:`Could not move HEAD off '${f}' for the delete. ${m instanceof Error?m.message:String(m)}`}],isError:!0}}for(let m of["units","outputs","artifacts","feedback","elaboration.md","decisions.jsonl"]){let y=sb(c,m);FU(y)&&gPt(y,{recursive:!0,force:!0})}if(d)try{for(let m of mPt(l)){if(!m.endsWith(".md"))continue;let y=sb(l,m);try{yPt(y).isFile()&&gPt(y,{force:!0})}catch{}}}catch{}try{let m=Hfr(a,"utf8"),{data:y}=re(m),g=[];if(`gate_review_session_${i}`in y&&g.push(`gate_review_session_${i}`),`gate_review_url_${i}`in y&&g.push(`gate_review_url_${i}`),g.length>0){for(let E of["gate_review_context","gate_review_next_stage","gate_review_next_phase"])E in y&&g.push(E);Kh(a,g)}}catch{}if(p)try{gE(r,i)}catch(m){return ye(JSON.stringify({action:"stage_reset_partial",slug:r,stage:i,message:`Stage '${i}' state wiped but \`${f}\` branch could not be deleted: ${m instanceof Error?m.message:String(m)}. Delete it manually with \`git branch -D ${f}\` then run \`haiku_run_next\`.`}))}return It(`haiku: reset stage ${i} on ${r}`),ye(JSON.stringify({action:"stage_reset",slug:r,stage:i,wiped:u,message:`Stage '${i}' has been reset. Call \`haiku_run_next { intent: "${r}" }\` to re-enter the stage at its elaborate phase.`},null,2))}}});import{existsSync as qfr,readFileSync as Bfr,writeFileSync as Gfr}from"node:fs";var ove,zfr,bPt,_Pt=v(()=>{"use strict";ove=Se(Xt(),1);vr();ZE();ji();uo();ze();Gi();vs();zfr=["iterations","reviews","approvals","started_at","hat","hat_started_at","bolt","status"],bPt={name:"haiku_unit_reset",description:"Reset ONE unit back to pending: clear its iterations/reviews/approvals so it can be re-authored or re-run, and discard its worktree + branch (rolling its in-progress code back to the stage baseline). Sibling units and the stage branch are untouched. Use when a unit hits the bolt cap or its spec premise was wrong from the start \u2014 the recovery path the escalation message points to. Requires user confirmation via the SPA picker.",inputSchema:_0,async handle(e,t){let n=Be(e,Kge,"haiku_unit_reset");if(n)return n;let{intent:r,stage:i,unit:s}=e,o=Oa(r,i,s);if(!qfr(o))return{content:[{type:"text",text:`No unit '${s}' in stage '${i}' of intent '${r}'.`}],isError:!0};let a=Bfr(o,"utf8"),{data:c,content:u}=(0,ove.default)(a),l=B0(c);if(l==="pending")return ye(JSON.stringify({action:"noop",slug:r,stage:i,unit:s,message:`Unit '${s}' is already pending \u2014 nothing to reset. Edit it with haiku_unit_write or let the engine run it.`}));if(l==="completed")return{content:[{type:"text",text:JSON.stringify({error:"unit_completed_not_resettable",slug:r,stage:i,unit:s,message:`Unit '${s}' is completed \u2014 its work is already merged into the stage branch. Reset cannot un-merge it and would only desync engine state from the code on disk. Reset is for wedged in-flight units only. To change completed work, file feedback against the stage (fix-loop) or revisit the stage.`})}],isError:!0};let d=await Wu({intentSlug:r,kind:"confirm",title:`Reset unit "${s}" (currently ${l}) on "${r}"?`,prompt:`This will return unit '${s}' in stage '${i}' to **pending**:
+Other stages of '${r}' will NOT be touched. Intent main's git history (including any prior merge of this stage) stays put. The next \`haiku_run_next\` will re-enter '${i}' at its elaborate phase. This cannot be undone.`,options:[{id:"reset",label:`Yes, reset stage ${i}`,description:"Wipe the stage and let the engine re-run it"},{id:"cancel",label:"Cancel",description:"Keep the stage as-is"}],signal:t});if(h.timedOut||!h.selection||h.selection.id!=="reset")return ye(JSON.stringify({action:"cancelled",message:`Reset of stage '${i}' cancelled.`}));if(ve())try{let m="";try{m=gve("git",["rev-parse","--abbrev-ref","HEAD"],{encoding:"utf8",stdio:"pipe"}).trim()}catch{}if(m===f){let g=`haiku/${r}/main`,y=Zo(),b=Pt(g)?g:y;try{gve("git",["checkout",b],{encoding:"utf8",stdio:"pipe"})}catch{gve("git",["checkout",`${b}^0`],{encoding:"utf8",stdio:"pipe"})}}}catch(m){return{content:[{type:"text",text:`Could not move HEAD off '${f}' for the delete. ${m instanceof Error?m.message:String(m)}`}],isError:!0}}for(let m of["units","outputs","artifacts","feedback","elaboration.md","decisions.jsonl"]){let g=aE(c,m);JU(g)&&NNt(g,{recursive:!0,force:!0})}if(d)try{for(let m of PNt(l)){if(!m.endsWith(".md"))continue;let g=aE(l,m);try{CNt(g).isFile()&&NNt(g,{force:!0})}catch{}}}catch{}try{let m=Tpr(a,"utf8"),{data:g}=re(m),y=[];if(`gate_review_session_${i}`in g&&y.push(`gate_review_session_${i}`),`gate_review_url_${i}`in g&&y.push(`gate_review_url_${i}`),y.length>0){for(let b of["gate_review_context","gate_review_next_stage","gate_review_next_phase"])b in g&&y.push(b);Yh(a,y)}}catch{}if(p)try{Sb(r,i)}catch(m){return ye(JSON.stringify({action:"stage_reset_partial",slug:r,stage:i,message:`Stage '${i}' state wiped but \`${f}\` branch could not be deleted: ${m instanceof Error?m.message:String(m)}. Delete it manually with \`git branch -D ${f}\` then run \`haiku_run_next\`.`}))}return wt(`haiku: reset stage ${i} on ${r}`),ye(JSON.stringify({action:"stage_reset",slug:r,stage:i,wiped:u,message:`Stage '${i}' has been reset. Call \`haiku_run_next { intent: "${r}" }\` to re-enter the stage at its elaborate phase.`},null,2))}}});import{existsSync as vpr,readFileSync as Rpr,writeFileSync as Apr}from"node:fs";var yve,wpr,LNt,UNt=v(()=>{"use strict";yve=Re(Kt(),1);yr();Xb();ji();uo();Ge();zi();vs();wpr=["iterations","reviews","approvals","started_at","hat","hat_started_at","bolt","status"],LNt={name:"haiku_unit_reset",description:"Reset ONE unit back to pending: clear its iterations/reviews/approvals so it can be re-authored or re-run, and discard its worktree + branch (rolling its in-progress code back to the stage baseline). Sibling units and the stage branch are untouched. Use when a unit hits the bolt cap or its spec premise was wrong from the start \u2014 the recovery path the escalation message points to. Requires user confirmation via the SPA picker.",inputSchema:v0,async handle(e,t){let n=Be(e,rye,"haiku_unit_reset");if(n)return n;let{intent:r,stage:i,unit:s}=e,o=Pa(r,i,s);if(!vpr(o))return{content:[{type:"text",text:`No unit '${s}' in stage '${i}' of intent '${r}'.`}],isError:!0};let a=Rpr(o,"utf8"),{data:c,content:u}=(0,yve.default)(a),l=V0(c);if(l==="pending")return ye(JSON.stringify({action:"noop",slug:r,stage:i,unit:s,message:`Unit '${s}' is already pending \u2014 nothing to reset. Edit it with haiku_unit_write or let the engine run it.`}));if(l==="completed")return{content:[{type:"text",text:JSON.stringify({error:"unit_completed_not_resettable",slug:r,stage:i,unit:s,message:`Unit '${s}' is completed \u2014 its work is already merged into the stage branch. Reset cannot un-merge it and would only desync engine state from the code on disk. Reset is for wedged in-flight units only. To change completed work, file feedback against the stage (fix-loop) or revisit the stage.`})}],isError:!0};let d=await Ju({intentSlug:r,kind:"confirm",title:`Reset unit "${s}" (currently ${l}) on "${r}"?`,prompt:`This will return unit '${s}' in stage '${i}' to **pending**:
 
 - Clear its iterations / reviews / approvals (and the model escalation)
 - Discard its worktree + branch \`haiku/${r}/${s}\` (local + remote) \u2014 its in-progress code rolls back to the stage baseline
 
-The unit's SPEC file stays (rewrite it with haiku_unit_write if the premise was wrong, or re-run as-is). Sibling units and the stage branch are NOT touched. This cannot be undone.`,options:[{id:"reset",label:`Yes, reset ${s}`,description:"Return the unit to pending and discard its worktree"},{id:"cancel",label:"Cancel",description:"Keep the unit as-is"}],signal:t});if(d.timedOut||!d.selection||d.selection.id!=="reset")return ye(JSON.stringify({action:"cancelled",message:`Reset of unit '${s}' cancelled \u2014 no state mutated.`}));let f=structuredClone(c);typeof f.model_original=="string"&&f.model_original.length>0&&(f.model=f.model_original),delete f.model_original;for(let h of zfr)delete f[h];Gfr(o,ove.default.stringify(u,f));let p=ype(r,s);return It(`haiku: reset unit ${s} on ${r} (was ${l})`),ye(JSON.stringify({action:"unit_reset",slug:r,stage:i,unit:s,previous_status:l,worktree:p.message,message:`Unit '${s}' reset to pending. Rewrite its spec with haiku_unit_write if its premise was wrong, then call haiku_run_next to re-run it. Siblings and the stage branch were untouched.`},null,2))}}});var $Te={};Rr($Te,{orchestratorToolHandlers:()=>rU});var rU,iU=v(()=>{"use strict";uIt();hIt();f0t();h0t();_0t();A0t();I0t();O0t();C0t();U0t();j0t();q0t();K0t();J0t();zNt();YNt();$Nt();rPt();aPt();lPt();hPt();EPt();_Pt();rU=new Map([cIt,pIt,d0t,p0t,b0t,v0t,k0t,x0t,P0t,L0t,F0t,H0t,W0t,Y0t,GNt,ZNt,QNt,nPt,oPt,uPt,pPt,SPt,bPt].map(e=>[e.name,e]))});function TPt(e){return{feedback_id:e.id,title:e.title,status:e.status,origin:e.origin,author:e.author,file:e.file}}function WE(e,t,n,r){let i=t||"(none)",s=n.target_branch||"the target branch",o=n.dirty_files||[];if(n.block==="dirty_tree"){let a=o.length>0?`
+The unit's SPEC file stays (rewrite it with haiku_unit_write if the premise was wrong, or re-run as-is). Sibling units and the stage branch are NOT touched. This cannot be undone.`,options:[{id:"reset",label:`Yes, reset ${s}`,description:"Return the unit to pending and discard its worktree"},{id:"cancel",label:"Cancel",description:"Keep the unit as-is"}],signal:t});if(d.timedOut||!d.selection||d.selection.id!=="reset")return ye(JSON.stringify({action:"cancelled",message:`Reset of unit '${s}' cancelled \u2014 no state mutated.`}));let f=structuredClone(c);typeof f.model_original=="string"&&f.model_original.length>0&&(f.model=f.model_original),delete f.model_original;for(let h of wpr)delete f[h];Apr(o,yve.default.stringify(u,f));let p=xpe(r,s);return wt(`haiku: reset unit ${s} on ${r} (was ${l})`),ye(JSON.stringify({action:"unit_reset",slug:r,stage:i,unit:s,previous_status:l,worktree:p.message,message:`Unit '${s}' reset to pending. Rewrite its spec with haiku_unit_write if its premise was wrong, then call haiku_run_next to re-run it. Siblings and the stage branch were untouched.`},null,2))}}});var lve={};Ar(lve,{orchestratorToolHandlers:()=>gU});var gU,yU=v(()=>{"use strict";IIt();CIt();I0t();O0t();U0t();H0t();G0t();W0t();Z0t();$0t();txt();rxt();uxt();fxt();oNt();dNt();mNt();bNt();vNt();wNt();ONt();DNt();UNt();gU=new Map([kIt,NIt,k0t,x0t,L0t,j0t,z0t,V0t,Y0t,Q0t,ext,nxt,cxt,dxt,sNt,lNt,hNt,SNt,TNt,ANt,xNt,MNt,LNt].map(e=>[e.name,e]))});function FNt(e){return{feedback_id:e.id,title:e.title,status:e.status,origin:e.origin,author:e.author,file:e.file}}function Zb(e,t,n,r){let i=t||"(none)",s=n.target_branch||"the target branch",o=n.dirty_files||[];if(n.block==="dirty_tree"){let a=o.length>0?`
 
 Files to commit:
 ${o.map(u=>`  - ${u}`).join(`
@@ -1579,15 +1577,15 @@ ${o.map(u=>`  - ${u}`).join(`
 No human intervention needed \u2014 just:
   1. \`git add ${o.length>0?o.join(" "):"<files listed above>"}\`
   2. \`git commit -m "haiku: wip on ${n.branch}"\`
-  3. Call \`haiku_run_next\` to retry.`};return{content:[{type:"text",text:JSON.stringify(c,null,2)}],isError:!0}}return{content:[{type:"text",text:`Error: stage-branch enforcement failed for intent '${e}', stage '${i}' (${r}) \u2014 ${n.message}`}],isError:!0}}function vPt(e,t,n,r,i=[]){if(!(n.exceeded||n.loopDetected))return null;let s=n.exceeded?"iteration_limit":"loop_detected",o=n.exceeded?`Stage '${t}' has exceeded ${Cf} agent-invoked iterations (now at ${n.count}). The autonomous loop has stopped \u2014 a human must decide whether to keep pushing, reject feedback items, split the work, or terminate the intent. To force another cycle (user-invoked, uncapped), file feedback at the target stage via \`haiku_feedback({ intent, stage: "<target-stage>", resolution: "stage_revisit", severity: "blocker", title, body })\` and call \`haiku_run_next\` \u2014 the pre-tick feedback walk reroutes through that stage. Or use \`haiku_feedback_reject\` to dismiss specific items, or mark the stage complete manually.`:`Stage '${t}' is in a loop: iteration ${n.count}'s feedback set is the same as the previous iteration's. The agent keeps regenerating identical findings, which usually means the spec is wrong or the criteria are unreachable. A human must intervene \u2014 adjust the feedback items, relax the criteria, or terminate the intent.`;return Ke("haiku.stage.escalate",{intent:e,stage:t,reason:s,iteration:String(n.count),trigger:r,signature:n.signature}),{action:"escalate",intent:e,stage:t,reason:s,trigger:r,iteration:n.count,max_iterations:Cf,signature:n.signature,pending_items:i,message:o}}function APt(e){let{visits:t,pendingFeedbackCount:n,stage:r,situation:i}=e,s=t>0?`Revisit elaborate (visit ${t}) for stage '${r}'. ${n} pending feedback item(s) must be addressed with new units.`:`Elaborate stage '${r}' into units with completion criteria.`,o=["","Inputs (read each file directly \u2014 do not trust titles alone):","- every `pending_feedback[].file` in this action's payload","- `stage_metadata` (STAGE.md body + review agents)","- `completed_units` (the stage's prior units, read-only reference)","- the intent's `intent.md` for overall goals","","Responsibilities:","- Read every `pending_feedback[].file` COMPLETELY. The title is only a handle; the body carries requirements, tests, and acceptance criteria.","- Draft one or more new units whose `closes:` frontmatter references the feedback items they resolve.","- Every pending feedback item MUST be referenced by at least one new unit's `closes:` (orphans block advancement).","- When drafting is complete, call `haiku_run_next` to advance. The workflow engine opens a review gate where the user inspects and approves the drafted units via the review UI \u2014 that is the ONLY approval path.","","## Turn discipline","","Elaboration is COLLABORATIVE and DETAILED. Take as many turns as you need to draft a thorough, well-scoped unit set \u2014 but every turn must earn its place.","","- **Each turn MUST ask a meaningful question.** A meaningful question is one whose answer changes what you draft \u2014 trade-offs, scope boundaries, acceptance criteria, architectural choices with two-plus viable options, priorities between conflicting requirements, or requirement ambiguities that can't be resolved from the intent body alone. Use `AskUserQuestion` with a pre-populated `options[]` array.","- **NEVER ask about things covered elsewhere in the flow.** The following are handled by other parts of the system \u2014 asking about them here duplicates work:",'  - Unit-set approval ("how do these units look", "does this scope work", "are these acceptable", "should I proceed", "do you approve") \u2014 handled by the review gate UI after drafting completes',"  - Per-unit feedback (reject / request-changes on specific units) \u2014 handled by the review gate's annotation + changes-requested path",'  - Feedback closure verification ("did my unit address FB-N") \u2014 handled by the feedback-assessor hat during execution','  - Gate decisions ("should we advance the stage") \u2014 handled by the gate itself','  - Quality-gate results ("did tests pass") \u2014 handled by advance_hat',"- **Use `AskUserQuestion` with `questions[]` when several decisions are related** so the user answers them in one UI exchange. Independent questions can still be separate turns \u2014 collaboration is the point.","- **When information is genuinely absent from the intent and there are no viable defaults, ask.** When you have reasonable inference based on intent goals + stage scope + prior units, draft it and let the review gate surface disagreements."].join(`
+  3. Call \`haiku_run_next\` to retry.`};return{content:[{type:"text",text:JSON.stringify(c,null,2)}],isError:!0}}return{content:[{type:"text",text:`Error: stage-branch enforcement failed for intent '${e}', stage '${i}' (${r}) \u2014 ${n.message}`}],isError:!0}}function jNt(e,t,n,r,i=[]){if(!(n.exceeded||n.loopDetected))return null;let s=n.exceeded?"iteration_limit":"loop_detected",o=n.exceeded?`Stage '${t}' has exceeded ${Df} agent-invoked iterations (now at ${n.count}). The autonomous loop has stopped \u2014 a human must decide whether to keep pushing, reject feedback items, split the work, or terminate the intent. To force another cycle (user-invoked, uncapped), file feedback at the target stage via \`haiku_feedback({ intent, stage: "<target-stage>", resolution: "stage_revisit", severity: "blocker", title, body })\` and call \`haiku_run_next\` \u2014 the pre-tick feedback walk reroutes through that stage. Or use \`haiku_feedback_reject\` to dismiss specific items, or mark the stage complete manually.`:`Stage '${t}' is in a loop: iteration ${n.count}'s feedback set is the same as the previous iteration's. The agent keeps regenerating identical findings, which usually means the spec is wrong or the criteria are unreachable. A human must intervene \u2014 adjust the feedback items, relax the criteria, or terminate the intent.`;return Ke("haiku.stage.escalate",{intent:e,stage:t,reason:s,iteration:String(n.count),trigger:r,signature:n.signature}),{action:"escalate",intent:e,stage:t,reason:s,trigger:r,iteration:n.count,max_iterations:Df,signature:n.signature,pending_items:i,message:o}}function HNt(e){let{visits:t,pendingFeedbackCount:n,stage:r,situation:i}=e,s=t>0?`Revisit elaborate (visit ${t}) for stage '${r}'. ${n} pending feedback item(s) must be addressed with new units.`:`Elaborate stage '${r}' into units with completion criteria.`,o=["","Inputs (read each file directly \u2014 do not trust titles alone):","- every `pending_feedback[].file` in this action's payload","- `stage_metadata` (STAGE.md body + review agents)","- `completed_units` (the stage's prior units, read-only reference)","- the intent's `intent.md` for overall goals","","Responsibilities:","- Read every `pending_feedback[].file` COMPLETELY. The title is only a handle; the body carries requirements, tests, and acceptance criteria.","- Draft one or more new units whose `closes:` frontmatter references the feedback items they resolve.","- Every pending feedback item MUST be referenced by at least one new unit's `closes:` (orphans block advancement).","- When drafting is complete, call `haiku_run_next` to advance. The workflow engine opens a review gate where the user inspects and approves the drafted units via the review UI \u2014 that is the ONLY approval path.","","## Turn discipline","","Elaboration is COLLABORATIVE and DETAILED. Take as many turns as you need to draft a thorough, well-scoped unit set \u2014 but every turn must earn its place.","","- **Each turn MUST ask a meaningful question.** A meaningful question is one whose answer changes what you draft \u2014 trade-offs, scope boundaries, acceptance criteria, architectural choices with two-plus viable options, priorities between conflicting requirements, or requirement ambiguities that can't be resolved from the intent body alone. Use `AskUserQuestion` with a pre-populated `options[]` array.","- **NEVER ask about things covered elsewhere in the flow.** The following are handled by other parts of the system \u2014 asking about them here duplicates work:",'  - Unit-set approval ("how do these units look", "does this scope work", "are these acceptable", "should I proceed", "do you approve") \u2014 handled by the review gate UI after drafting completes',"  - Per-unit feedback (reject / request-changes on specific units) \u2014 handled by the review gate's annotation + changes-requested path",'  - Feedback closure verification ("did my unit address FB-N") \u2014 handled by the feedback-assessor hat during execution','  - Gate decisions ("should we advance the stage") \u2014 handled by the gate itself','  - Quality-gate results ("did tests pass") \u2014 handled by advance_hat',"- **Use `AskUserQuestion` with `questions[]` when several decisions are related** so the user answers them in one UI exchange. Independent questions can still be separate turns \u2014 collaboration is the point.","- **When information is genuinely absent from the intent and there are no viable defaults, ask.** When you have reasonable inference based on intent goals + stage scope + prior units, draft it and let the review gate surface disagreements."].join(`
 `);return i?`${s}
 
-${i}${o}`:`${s}${o}`}var RPt=v(()=>{"use strict";ze();To()});function Ex(e){let t=e.stage||"",n=e.unit||"",r=e.hat||e.first_hat||"",i=e.next_stage||"",s="",o="";switch(e.action){case"select_studio":s="I need to select a lifecycle studio for this intent before we can begin.",o="After studio selection, the first stage will start with elaboration.";break;case"start_stage":s=`Starting stage '${t}' \u2014 I'll elaborate the work into units with completion criteria.`,o="Next I'll break the work down into units, then validate them and open a review gate for your approval.";break;case"elaborate":t?(s=`Starting the conversation about stage '${t}' before any unit decomposition.`,o="I'll read the intent + STAGE.md, surface informed questions, and capture our agreement via haiku_stage_elaboration_record. A verifier will then grade the conversation for substance before the cursor advances to decompose."):(s="Pre-intent verifier \u2014 grading whether intent.md reflects a meaningful conversation about what you want.",o="I'll dispatch a verifier subagent. Pass stamps `verified_at` on intent.md via haiku_intent_seal; fail returns gaps so we re-engage and update the intent.");break;case"elaborate_review":t?(s=`Dispatching the substance verifier on the captured elaboration for stage '${t}'.`,o="On pass, the verifier seals the artifact and the cursor advances to decompose. On fail, the verifier returns specific gaps and we re-engage you with the missing questions."):(s="Dispatching the substance verifier on intent.md.",o="On pass, the cursor walks into the first stage's elaborate gate. On fail, we update the intent body and re-verify.");break;case"decompose_review":s=`Dispatching the decompose-verifier on the drafted units for stage '${t}'.`,o='The verifier audits whether the units collectively cover the captured conversation transcript \u2014 nothing scoped is missing a unit, no unit is out of scope. On pass, it stamps `decompose_verified_at` on elaboration.md and the cursor advances to execute. On fail, it files feedback with `targets.invalidates: ["decompose_complete"]` and the fix loop reruns decomposition.';break;case"decompose":{let a=e.iteration||e.visits||0,c=e.pending_feedback?.length||0,u=e.validation_error;a>1?(s=u?`Revisiting stage '${t}' (iteration ${a}) \u2014 fixing validation on in-flight units before advancing.`:`Revisiting stage '${t}' (iteration ${a}) \u2014 ${c} pending feedback item(s) to address with new units.`,o="I'll draft units that close each pending feedback item, then advance to execution once validated."):(s=`Decomposing stage '${t}' into unit specs \u2014 informed by the captured elaboration + any discovery output.`,o="After units are defined, the orchestrator validates them and opens a review gate for your approval before execution begins.");break}case"elaboration_insufficient":s=`I need to engage you more on the plan for stage '${t}' before finalizing.`,o="After sufficient collaboration, I'll finalize units and open the review gate.";break;case"gate_review":{let a=e.gate_context||"stage_gate";a==="intent_review"?(s="The intent specs are ready \u2014 opening the review gate for your approval.",o="After approval, execution begins. If changes are requested, I'll revise and re-submit."):a==="elaborate_to_execute"?(s="Unit specs are validated \u2014 opening the review gate for your approval before execution.",o="After approval, I'll begin executing units in wave order. If changes are requested, I'll revise the specs."):(s=`Stage '${t}' is complete \u2014 opening the review gate.`,o=i?`After approval, I'll advance to stage '${i}'. If changes are requested, I'll address the feedback.`:"After approval, the intent is complete.");break}case"intent_approved":s="Intent approved \u2014 moving to execution.",o="I'll begin executing units in wave order.";break;case"advance_phase":{let a=e.to_phase||"";a==="execute"?(s=`Specs approved for stage '${t}' \u2014 beginning execution.`,o="I'll execute units in wave order, one hat at a time."):a==="review"?(s=`All units complete in stage '${t}' \u2014 moving to review.`,o="I'll run quality gates and adversarial review agents, then open the stage gate."):a==="gate"?(s=`Review complete for stage '${t}' \u2014 moving to the gate.`,o="The stage gate will determine whether to advance, request changes, or send for external review."):(s=`Advancing stage '${t}' to ${a} phase.`,o="");break}case"start_unit":s=`Starting unit '${n}' with hat '${r}' in stage '${t}'.`,o="I'll execute the unit work per the hat definition, then advance to the next hat or next unit.";break;case"start_units":{let a=e.units||[];s=`Starting ${a.length} units in parallel: ${a.join(", ")}.`,o=Re()?"Each unit runs in its own worktree. After all complete, the next wave starts or we advance to review.":"After all units complete, the next wave starts or we advance to review.";break}case"continue_unit":s=`Continuing unit '${n}' \u2014 hat: ${r}, bolt: ${e.bolt||1}.`,o="I'll continue the work, then advance to the next hat or complete the unit.";break;case"continue_units":{let a=e.units||[];s=`Continuing ${a.length} units in parallel: ${a.map(c=>`${c.name}(${c.hat}#${c.bolt})`).join(", ")}.`,o="Each active unit resumes in its own worktree. After all subagents return, the workflow engine advances.";break}case"escalate":{let a=e.reason||"unknown",c=e.iteration||0,u=e.max_iterations||Cf;s=a==="loop_detected"?`Stage '${t}' is stuck in a loop \u2014 iteration ${c} regenerated the same feedback set as iteration ${c-1}.`:`Stage '${t}' hit the ${u}-iteration ceiling (now at ${c}) \u2014 stopping the autonomous loop.`,o='STOP. Surface this to the human: the autonomous loop is halted. Do NOT call haiku_run_next again until the human makes a decision (reject feedback items, file a stage_revisit feedback via `haiku_feedback({ resolution: "stage_revisit", severity: "blocker" })` to force another cycle, or terminate the intent).';break}case"review":s=`Quality gates passed \u2014 running adversarial review agents for stage '${t}'.`,o="After review agents pass, the stage gate opens for approval.";break;case"fix_quality_gates":s=`Quality gates failed in stage '${t}' \u2014 I need to fix the issues before review.`,o="After fixing, I'll retry the quality gates and then proceed to adversarial review.";break;case"advance_stage":s=`Stage '${t}' complete \u2014 advancing to '${i}'.`,o=i?`I'll start stage '${i}' with elaboration.`:"The intent is complete.";break;case"intent_complete":s="All stages are complete \u2014 the intent is done.",o="";break;case"integrate_fix_chains":{let a=e.items||[],c=e.scope||"intent";s=`${a.length} fix-chain merge${a.length===1?"":"s"} conflicted when landing on ${c==="intent"?"intent main":`stage '${c}'`} \u2014 dispatching the integrator to resolve.`,o="After integrators return, I'll call run_next to complete the merges.";break}case"changes_requested":s="Changes were requested on the review \u2014 I'll address the feedback.",o="After revisions, I'll re-submit for review.";break;case"external_review_requested":s=`Stage '${t}' needs external review \u2014 submit the work through your project's review process.`,o="After external approval, run /haiku:haiku-pickup to continue.";break;case"awaiting_external_review":s=`Stage '${t}' is waiting on external review.`,o="Run /haiku:haiku-pickup after the review is approved.";break;case"blocked":s=`Some units in stage '${t}' are blocked \u2014 dependencies not met.`,o="Unblock the dependencies, then retry.";break;case"outputs_missing":s=`Stage '${t}' is missing required output artifacts.`,o="Create the missing artifacts, then retry.";break;case"discovery_missing":s=`Stage '${t}' is missing required discovery artifacts.`,o="Create the missing artifacts, then retry.";break;case"unresolved_dependencies":s="Some unit dependencies reference units that don't exist \u2014 I need to fix the references.",o="After fixing, I'll retry advancement.";break;case"dag_cycle_detected":s="A dependency cycle was detected in the unit graph \u2014 I need to break the cycle.",o="After fixing, I'll retry advancement.";break;case"unit_naming_invalid":s="Some unit files don't follow the required naming convention \u2014 I need to rename them.",o="After fixing, I'll retry advancement.";break;case"gate_blocked":s="Gate review couldn't be completed \u2014 the review UI and elicitation both failed.",o="Run haiku_run_next again to retry the gate review.";break;case"complete":s="Intent is already completed.",o="";break;case"composite_run_stage":s=`Running composite stage '${t}'.`,o="The composite orchestrator will advance through sub-stages.";break;case"error":s=e.message||"An error occurred.",o="";break;default:break}s&&(e.tell_user=s),o&&(e.next_step=o)}var wPt=v(()=>{"use strict";ze()});import{execFileSync as kPt}from"node:child_process";import{existsSync as Xv,readFileSync as Vfr}from"node:fs";import{join as ob}from"node:path";function ave(e,t){if(t)try{let n=DD(e,t);!n.ok&&n.error&&console.error(`[haiku] auto-push of haiku/${e}/${t} failed: ${n.error}`)}catch(n){console.error(`[haiku] auto-push of haiku/${e}/${t} threw: ${n instanceof Error?n.message:String(n)}`)}}function jU(e){if(!Xv(e))return{};let t=Vfr(e,"utf8"),{data:n}=re(t);return n}function Wfr(e,t){let n=ob(pe(e),"intent.md"),r=jU(n),i=r.studio||"",s=wn(r,i),o=s.indexOf(t);return o>0?s[o-1]:void 0}function cve(e,t){RI(e),Y3(e),It(`haiku: pre-stage cleanup for ${e}/${t}`),ave(e,t);let n=Wfr(e,t),r=n?`haiku/${e}/${n}`:"";if(n&&jt(r)&&!bl(r,`haiku/${e}/main`)){let i=B9(e,()=>LD(e,n));if(!i.success)throw new Error(`Merge of completed stage '${n}' into main failed: ${i.message}. Resolve conflicts on 'haiku/${e}/main' manually, then retry.`)}if(n&&jt(r)){gE(e,n);try{kPt("git",["push","origin","--delete",r],{stdio:"pipe",timeout:va,env:Aa})}catch{}}if(!ipe(e,t)){let i=`haiku/${e}/${t}`;if(jt(i)&&n){let s=ope(e,"main",t);if(!s.success)throw new Error(`Merge forward from main to '${t}' failed: ${s.message}. Resolve conflicts on branch '${i}' manually, then retry.`)}else spe(e,t)}Jye(e,t,{trigger:"initial"}),Y3(e),Ke("haiku.stage.started",{intent:e,stage:t}),It(`haiku: start stage ${t}`),ave(e,t),ci(e)}function K1(e,t,n){Ke("haiku.stage.phase",{intent:e,stage:t,phase:n}),ci(e)}function bx(e,t,n){Xye(e,t,n==="advanced"?"advanced":"rejected"),Ke("haiku.stage.completed",{intent:e,stage:t,gate_outcome:n}),It(`haiku: complete stage ${t}`),ave(e,t),ci(e)}function I5(e,t,n){bx(e,t,"advanced"),cve(e,n),ci(e)}function IPt(e,t){Ke("haiku.gate.entered",{intent:e,stage:t}),ci(e)}function Kfr(e){let t=ob(pe(e),"intent.md");Xv(t)&&(De(t,"completion_review_entered_at",bn()),Ke("haiku.intent.completion_review_entered",{intent:e}),ci(e))}function Zfr(e,t){if(!Re()||!t)return;let n=`haiku/${e}/${t}`,r=`haiku/${e}/main`;if(jt(n)&&!bl(n,r)){let i=B9(e,()=>LD(e,t));i.success||console.error(`[workflowFinalizeStageIntoIntentMain] merge ${n}\u2192${r} failed: ${i.message}.
+${i}${o}`:`${s}${o}`}var qNt=v(()=>{"use strict";Ge();vo()});function Ax(e){let t=e.stage||"",n=e.unit||"",r=e.hat||e.first_hat||"",i=e.next_stage||"",s="",o="";switch(e.action){case"select_studio":s="I need to select a lifecycle studio for this intent before we can begin.",o="After studio selection, the first stage will start with elaboration.";break;case"start_stage":s=`Starting stage '${t}' \u2014 I'll elaborate the work into units with completion criteria.`,o="Next I'll break the work down into units, then validate them and open a review gate for your approval.";break;case"elaborate":t?(s=`Starting the conversation about stage '${t}' before any unit decomposition.`,o="I'll read the intent + STAGE.md, surface informed questions, and capture our agreement via haiku_stage_elaboration_record. A verifier will then grade the conversation for substance before the cursor advances to decompose."):(s="Pre-intent verifier \u2014 grading whether intent.md reflects a meaningful conversation about what you want.",o="I'll dispatch a verifier subagent. Pass stamps `verified_at` on intent.md via haiku_intent_seal; fail returns gaps so we re-engage and update the intent.");break;case"elaborate_review":t?(s=`Dispatching the substance verifier on the captured elaboration for stage '${t}'.`,o="On pass, the verifier seals the artifact and the cursor advances to decompose. On fail, the verifier returns specific gaps and we re-engage you with the missing questions."):(s="Dispatching the substance verifier on intent.md.",o="On pass, the cursor walks into the first stage's elaborate gate. On fail, we update the intent body and re-verify.");break;case"decompose_review":s=`Dispatching the decompose-verifier on the drafted units for stage '${t}'.`,o='The verifier audits whether the units collectively cover the captured conversation transcript \u2014 nothing scoped is missing a unit, no unit is out of scope. On pass, it stamps `decompose_verified_at` on elaboration.md and the cursor advances to execute. On fail, it files feedback with `targets.invalidates: ["decompose_complete"]` and the fix loop reruns decomposition.';break;case"decompose":{let a=e.iteration||e.visits||0,c=e.pending_feedback?.length||0,u=e.validation_error;a>1?(s=u?`Revisiting stage '${t}' (iteration ${a}) \u2014 fixing validation on in-flight units before advancing.`:`Revisiting stage '${t}' (iteration ${a}) \u2014 ${c} pending feedback item(s) to address with new units.`,o="I'll draft units that close each pending feedback item, then advance to execution once validated."):(s=`Decomposing stage '${t}' into unit specs \u2014 informed by the captured elaboration + any discovery output.`,o="After units are defined, the orchestrator validates them and opens a review gate for your approval before execution begins.");break}case"elaboration_insufficient":s=`I need to engage you more on the plan for stage '${t}' before finalizing.`,o="After sufficient collaboration, I'll finalize units and open the review gate.";break;case"gate_review":{let a=e.gate_context||"stage_gate";a==="intent_review"?(s="The intent specs are ready \u2014 opening the review gate for your approval.",o="After approval, execution begins. If changes are requested, I'll revise and re-submit."):a==="elaborate_to_execute"?(s="Unit specs are validated \u2014 opening the review gate for your approval before execution.",o="After approval, I'll begin executing units in wave order. If changes are requested, I'll revise the specs."):(s=`Stage '${t}' is complete \u2014 opening the review gate.`,o=i?`After approval, I'll advance to stage '${i}'. If changes are requested, I'll address the feedback.`:"After approval, the intent is complete.");break}case"intent_approved":s="Intent approved \u2014 moving to execution.",o="I'll begin executing units in wave order.";break;case"advance_phase":{let a=e.to_phase||"";a==="execute"?(s=`Specs approved for stage '${t}' \u2014 beginning execution.`,o="I'll execute units in wave order, one hat at a time."):a==="review"?(s=`All units complete in stage '${t}' \u2014 moving to review.`,o="I'll run quality gates and adversarial review agents, then open the stage gate."):a==="gate"?(s=`Review complete for stage '${t}' \u2014 moving to the gate.`,o="The stage gate will determine whether to advance, request changes, or send for external review."):(s=`Advancing stage '${t}' to ${a} phase.`,o="");break}case"start_unit":s=`Starting unit '${n}' with hat '${r}' in stage '${t}'.`,o="I'll execute the unit work per the hat definition, then advance to the next hat or next unit.";break;case"start_units":{let a=e.units||[];s=`Starting ${a.length} units in parallel: ${a.join(", ")}.`,o=ve()?"Each unit runs in its own worktree. After all complete, the next wave starts or we advance to review.":"After all units complete, the next wave starts or we advance to review.";break}case"continue_unit":s=`Continuing unit '${n}' \u2014 hat: ${r}, bolt: ${e.bolt||1}.`,o="I'll continue the work, then advance to the next hat or complete the unit.";break;case"continue_units":{let a=e.units||[];s=`Continuing ${a.length} units in parallel: ${a.map(c=>`${c.name}(${c.hat}#${c.bolt})`).join(", ")}.`,o="Each active unit resumes in its own worktree. After all subagents return, the workflow engine advances.";break}case"escalate":{let a=e.reason||"unknown",c=e.iteration||0,u=e.max_iterations||Df;s=a==="loop_detected"?`Stage '${t}' is stuck in a loop \u2014 iteration ${c} regenerated the same feedback set as iteration ${c-1}.`:`Stage '${t}' hit the ${u}-iteration ceiling (now at ${c}) \u2014 stopping the autonomous loop.`,o='STOP. Surface this to the human: the autonomous loop is halted. 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 Intent-completion review will still open; resolve the merge manually before approving the final gate.
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   - \`git reflog show ${n}\` \u2014 the branch's tip is still in reflog until gc runs (default 90 days).
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 `,"**Before doing ANY work**, tell the user what you're about to do:"];o&&d.push(`> ${o}`),a&&d.push(`
 _${a}_`),d.push(`
@@ -1602,29 +1600,29 @@ ${u}
 
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-`)}catch{}ms(o,{context:"mcp-tool-handler",tool_name:a},u);try{let{flush:l}=await Promise.resolve().then(()=>(ih(),E3e));await l(1e3)}catch{}throw console.error(`[haiku] Tool handler '${a}' threw:`,o instanceof Error?o.stack||o.message:String(o)),o}return s});uve({prepare:c0t,await:u0t});jPt=1e4,HPt=!1;process.on("SIGINT",()=>{qPt("SIGINT")});process.on("SIGTERM",()=>{qPt("SIGTERM")});tpr().catch(e=>{ms(e,{context:"mcp-server-fatal"}),console.error("Fatal error:",e),process.exit(1)})});var ry=v(()=>{"use strict"});import{execSync as rpr}from"node:child_process";import{existsSync as HU,mkdirSync as fDi,readdirSync as ipr,readFileSync as GPt,statSync as pDi,writeFileSync as hDi}from"node:fs";import{dirname as gDi,join as Z6}from"node:path";function fve(e,t){if(!HU(e))return"";let r=GPt(e,"utf8").match(new RegExp(`^${t}:\\s*(.+)$`,"m"));return r?r[1].trim().replace(/^["']|["']$/g,""):""}function zPt(e){if(!HU(e))return{};try{return JSON.parse(GPt(e,"utf8"))}catch{return{}}}function Wx(){return HU(Z6(Y6(),".haiku"))}function Kx(){let e=Y6(),t=Z6(e,".haiku","intents");if(!HU(t))return null;let n=ipr(t);for(let r of n){let i=Z6(t,r,"intent.md");if(!HU(i))continue;if(fve(i,"status")==="active")return Z6(t,r)}return null}function Y6(){try{return rpr("git rev-parse --show-toplevel",{encoding:"utf8",stdio:["ignore","pipe","pipe"]}).trim()}catch{return process.cwd()}}var $v=v(()=>{"use strict"});import{appendFileSync as VPt,existsSync as spr,readFileSync as opr}from"node:fs";import{join as pve}from"node:path";function apr(e){let t=pve(e,"intent.md"),n=fve(t,"active_stage");if(!n)return null;let r=pve(e,"stages",n,"state.json"),i=zPt(r);return(typeof i.phase=="string"?i.phase:"")||null}async function cpr(e,t){let n=Number(e.total_tokens??0),r=Number(e.max_tokens??0);if(n===0||r===0)return;let i=Kx();if(!i||apr(i)!=="elaborate")return;let s=Math.floor((r-n)*100/r),o=process.env.CLAUDE_SESSION_ID??"unknown",a=pve("/tmp",`context-monitor-${o}`),c="";spr(a)&&(c=opr(a,"utf8")),s<=25?c.includes("25")||(VPt(a,`25
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+`)}catch{}ms(o,{context:"mcp-tool-handler",tool_name:a},u);try{let{flush:l}=await Promise.resolve().then(()=>(sh(),PKe));await l(1e3)}catch{}throw console.error(`[haiku] Tool handler '${a}' threw:`,o instanceof Error?o.stack||o.message:String(o)),o}return s});Eve({prepare:R0t,await:A0t});tCt=1e4,nCt=!1;process.on("SIGINT",()=>{rCt("SIGINT")});process.on("SIGTERM",()=>{rCt("SIGTERM")});Upr().catch(e=>{ms(e,{context:"mcp-server-fatal"}),console.error("Fatal error:",e),process.exit(1)})});var sy=v(()=>{"use strict"});import{execSync as jpr}from"node:child_process";import{existsSync as QU,mkdirSync as uLi,readdirSync as Hpr,readFileSync as sCt,statSync as lLi,writeFileSync as dLi}from"node:fs";import{dirname as pLi,join as u8}from"node:path";function vve(e,t){if(!QU(e))return"";let r=sCt(e,"utf8").match(new RegExp(`^${t}:\\s*(.+)$`,"m"));return r?r[1].trim().replace(/^["']|["']$/g,""):""}function oCt(e){if(!QU(e))return{};try{return JSON.parse(sCt(e,"utf8"))}catch{return{}}}function $x(){return QU(u8(l8(),".haiku"))}function eO(){let e=l8(),t=u8(e,".haiku","intents");if(!QU(t))return null;let n=Hpr(t);for(let r of n){let i=u8(t,r,"intent.md");if(!QU(i))continue;if(vve(i,"status")==="active")return u8(t,r)}return null}function l8(){try{return jpr("git rev-parse --show-toplevel",{encoding:"utf8",stdio:["ignore","pipe","pipe"]}).trim()}catch{return process.cwd()}}var tR=v(()=>{"use strict"});import{appendFileSync as aCt,existsSync as qpr,readFileSync as Bpr}from"node:fs";import{join as Rve}from"node:path";function zpr(e){let t=Rve(e,"intent.md"),n=vve(t,"active_stage");if(!n)return null;let r=Rve(e,"stages",n,"state.json"),i=oCt(r);return(typeof i.phase=="string"?i.phase:"")||null}async function Gpr(e,t){let n=Number(e.total_tokens??0),r=Number(e.max_tokens??0);if(n===0||r===0)return;let i=eO();if(!i||zpr(i)!=="elaborate")return;let s=Math.floor((r-n)*100/r),o=process.env.CLAUDE_SESSION_ID??"unknown",a=Rve("/tmp",`context-monitor-${o}`),c="";qpr(a)&&(c=Bpr(a,"utf8")),s<=25?c.includes("25")||(aCt(a,`25
+`),process.stderr.write("\u26A0\uFE0F CONTEXT LOW (\u226425% remaining) \u2014 elaboration in progress\n\nYou're partway through elaboration with a tight context window. Run `/clear` to start with a fresh session \u2014 elaboration state is already on disk (`intent.md`, unit files, stage `state.json`), so the next tick will pick up exactly where you left off.\n"),process.exit(2)):s<=35&&(c.includes("35")||(aCt(a,`35
 `),process.stderr.write(`\u26A0\uFE0F CONTEXT NOTE (\u226435% remaining) \u2014 elaboration in progress
 
 Context is getting tight while elaborating. Consider \`/clear\` to give elaboration a fresh window \u2014 your unit/intent files on disk are the source of truth, so the next tick resumes cleanly.
-`),process.exit(2)))}var WPt,KPt=v(()=>{"use strict";ry();$v();WPt={name:"context-monitor",description:"PostToolUse: while elaborating in an active intent, suggest /clear at 35% / 25% remaining context budget.",async handle(e,t){await cpr(e,t.pluginRoot)}}});function upr(e){if(e==null)return!1;if(typeof e=="string"){let n=e.toLowerCase();return hve.some(r=>n.includes(r))}if(typeof e!="object")return!1;let t=e;if(t.isError!==!0)return!1;if(Array.isArray(t.content)){for(let n of t.content)if(n&&typeof n=="object"){let r=n.text;if(typeof r=="string"){let i=r.toLowerCase();if(hve.some(s=>i.includes(s)))return!0}}}for(let n of["error","message"]){let r=t[n];if(typeof r=="string"){let i=r.toLowerCase();if(hve.some(s=>i.includes(s)))return!0}}return!1}var hve,ZPt,YPt=v(()=>{"use strict";ry();$v();hve=["file has not been read yet","file has not been read in this session","read it first before writing to it"];ZPt={name:"edit-auto-read-hint",description:"PostToolUse: when Edit/MultiEdit fails with 'file not read yet', surface a Read-first hint so the agent recovers in one turn instead of retrying blindly.",async handle(e,t){if(!Wx())return;let n=e??{};if(!upr(n.tool_response))return;let i=n.tool_input?.file_path??"<the file>";process.stderr.write(`Read \`${i}\` first, then retry the Edit.
-`),process.exit(2)}}});import{execFileSync as lpr}from"node:child_process";import{existsSync as dpr}from"node:fs";import{join as JPt,resolve as fpr}from"node:path";function ppr(e){process.stderr.write(e)}function hpr(e){try{let t=lpr("git",["rev-parse","--git-dir"],{cwd:e,encoding:"utf8",stdio:["ignore","pipe","ignore"]}).trim();if(!t)return!1;let n=t.startsWith("/")?t:JPt(e,t);for(let r of["MERGE_HEAD","CHERRY_PICK_HEAD","REVERT_HEAD","rebase-merge","rebase-apply"])if(dpr(JPt(n,r)))return!0;return!1}catch{return!1}}function mpr(e){let t=e.match(/\.haiku\/intents\/([^/]+)\/stages\/([^/]+)\/units\/([^/]+)\.md$/);if(t)return{kind:"unit",intent:t[1],stage:t[2],name:t[3]};let n=e.match(/\.haiku\/intents\/([^/]+)\/(?:stages\/([^/]+)\/)?feedback\/([^/]+)\.md$/);return n?{kind:"feedback",intent:n[1],stage:n[2]||void 0,name:n[3]}:/\.haiku\/intents\/[^/]+\/intent\.md$/.test(e)?{kind:"intent"}:/\.haiku\/intents\/[^/]+\/stages\/[^/]+\/state\.json$/.test(e)?{kind:"stage_state"}:/\.haiku\/intents\/[^/]+\/stages\/[^/]+\/BRIEF\.md$/.test(e)?{kind:"brief"}:/\.haiku\/intents\/[^/]+\/stages\/[^/]+\/\.baseline-ack$/.test(e)?{kind:"baseline_ack"}:/\.haiku\/intents\/[^/]+\/stages\/[^/]+\/baseline-thrash\.json$/.test(e)?{kind:"baseline_thrash"}:/(?:^|\/)\.haiku\/settings\.yml$/.test(e)?{kind:"settings"}:{kind:null}}function gpr(e,t){let n=e==="Read"?"read":e==="Write"?"create or overwrite":"edit",r=t.intent??"<slug>",i=t.stage??"<stage>",s=t.name??"<name>";if(t.kind==="unit"){let o=n==="read"?`haiku_unit_read { intent: "${r}", stage: "${i}", unit: "${s}" }`:n==="create or overwrite"?`haiku_unit_write { intent: "${r}", stage: "${i}", unit: "${s}", body: "...", frontmatter: { ... } }`:`haiku_unit_set { intent: "${r}", stage: "${i}", unit: "${s}", field: "...", value: "..." }`;return`BLOCKED: Cannot ${n} unit file '${s}.md' via generic ${e}. Unit files are workflow-managed \u2014 use the MCP tool instead:
+`),process.exit(2)))}var cCt,uCt=v(()=>{"use strict";sy();tR();cCt={name:"context-monitor",description:"PostToolUse: while elaborating in an active intent, suggest /clear at 35% / 25% remaining context budget.",async handle(e,t){await Gpr(e,t.pluginRoot)}}});function Vpr(e){if(e==null)return!1;if(typeof e=="string"){let n=e.toLowerCase();return Ave.some(r=>n.includes(r))}if(typeof e!="object")return!1;let t=e;if(t.isError!==!0)return!1;if(Array.isArray(t.content)){for(let n of t.content)if(n&&typeof n=="object"){let r=n.text;if(typeof r=="string"){let i=r.toLowerCase();if(Ave.some(s=>i.includes(s)))return!0}}}for(let n of["error","message"]){let r=t[n];if(typeof r=="string"){let i=r.toLowerCase();if(Ave.some(s=>i.includes(s)))return!0}}return!1}var Ave,lCt,dCt=v(()=>{"use strict";sy();tR();Ave=["file has not been read yet","file has not been read in this session","read it first before writing to it"];lCt={name:"edit-auto-read-hint",description:"PostToolUse: when Edit/MultiEdit fails with 'file not read yet', surface a Read-first hint so the agent recovers in one turn instead of retrying blindly.",async handle(e,t){if(!$x())return;let n=e??{};if(!Vpr(n.tool_response))return;let i=n.tool_input?.file_path??"<the file>";process.stderr.write(`Read \`${i}\` first, then retry the Edit.
+`),process.exit(2)}}});import{execFileSync as Wpr}from"node:child_process";import{existsSync as Kpr}from"node:fs";import{join as fCt,resolve as Ypr}from"node:path";function Zpr(e){process.stderr.write(e)}function Jpr(e){try{let t=Wpr("git",["rev-parse","--git-dir"],{cwd:e,encoding:"utf8",stdio:["ignore","pipe","ignore"]}).trim();if(!t)return!1;let n=t.startsWith("/")?t:fCt(e,t);for(let r of["MERGE_HEAD","CHERRY_PICK_HEAD","REVERT_HEAD","rebase-merge","rebase-apply"])if(Kpr(fCt(n,r)))return!0;return!1}catch{return!1}}function Xpr(e){let t=e.match(/\.haiku\/intents\/([^/]+)\/stages\/([^/]+)\/units\/([^/]+)\.md$/);if(t)return{kind:"unit",intent:t[1],stage:t[2],name:t[3]};let n=e.match(/\.haiku\/intents\/([^/]+)\/(?:stages\/([^/]+)\/)?feedback\/([^/]+)\.md$/);return n?{kind:"feedback",intent:n[1],stage:n[2]||void 0,name:n[3]}:/\.haiku\/intents\/[^/]+\/intent\.md$/.test(e)?{kind:"intent"}:/\.haiku\/intents\/[^/]+\/stages\/[^/]+\/state\.json$/.test(e)?{kind:"stage_state"}:/\.haiku\/intents\/[^/]+\/stages\/[^/]+\/BRIEF\.md$/.test(e)?{kind:"brief"}:/\.haiku\/intents\/[^/]+\/stages\/[^/]+\/\.baseline-ack$/.test(e)?{kind:"baseline_ack"}:/\.haiku\/intents\/[^/]+\/stages\/[^/]+\/baseline-thrash\.json$/.test(e)?{kind:"baseline_thrash"}:/(?:^|\/)\.haiku\/settings\.yml$/.test(e)?{kind:"settings"}:{kind:null}}function Qpr(e,t){let n=e==="Read"?"read":e==="Write"?"create or overwrite":"edit",r=t.intent??"<slug>",i=t.stage??"<stage>",s=t.name??"<name>";if(t.kind==="unit"){let o=n==="read"?`haiku_unit_read { intent: "${r}", stage: "${i}", unit: "${s}" }`:n==="create or overwrite"?`haiku_unit_write { intent: "${r}", stage: "${i}", unit: "${s}", body: "...", frontmatter: { ... } }`:`haiku_unit_set { intent: "${r}", stage: "${i}", unit: "${s}", field: "...", value: "..." }`;return`BLOCKED: Cannot ${n} unit file '${s}.md' via generic ${e}. Unit files are workflow-managed \u2014 use the MCP tool instead:
   ${o}
 Generic file access bypasses lifecycle enforcement (pending \u2192 active \u2192 completed), frontmatter validation (DAG, schema, cross-references), and integrity sealing.`}if(t.kind==="feedback"){let o=t.stage?`stage: "${i}", `:"",a=n==="read"?`haiku_feedback_read { intent: "${r}", ${o}feedback_id: "${s}" }`:n==="create or overwrite"?`haiku_feedback_write { intent: "${r}", ${o}feedback_id: "${s}", body: "..." }
   (or haiku_feedback { intent: "${r}", ${o}title: "...", body: "...", origin: "...", author: "..." } if you're creating a brand-new finding)`:`haiku_feedback_write { intent: "${r}", ${o}feedback_id: "${s}", body: "..." }`;return`BLOCKED: Cannot ${n} feedback file '${s}.md' via generic ${e}. Feedback files are workflow-managed and act as the unit-of-work for fix-loop hats \u2014 use the MCP tool instead:
   ${a}
 Generic file access bypasses fix-loop lifecycle and worktree isolation.`}return t.kind==="intent"?`BLOCKED: Cannot ${n} intent.md via generic ${e}. Intent files are workflow-managed \u2014 use haiku_intent_get to read fields, haiku_run_next to drive the lifecycle, or call /haiku:haiku-repair if state is genuinely corrupted. Direct edits skip the integrity checksum and the workflow engine's invariants.`:t.kind==="stage_state"?`BLOCKED: Cannot ${n} stage state.json via generic ${e}. Stage state is workflow engine-internal \u2014 every legitimate write happens via haiku_run_next or a dedicated MCP tool. Hand-editing breaks the integrity checksum and the forward-only lifecycle invariants.`:t.kind==="brief"?`BLOCKED: Cannot ${n} BRIEF.md. The stage brief is USER-FACING only \u2014 it's written by the briefer subagent for the human reviewing the plan at the gate, and you should never read it. Stay focused on your own mandate (your unit spec, your hat's job); the brief is not an input to your work.`:t.kind==="baseline_ack"?`BLOCKED: Cannot ${n} .baseline-ack via generic ${e}. This is the V-11 operator-only baseline-corrupt acknowledgement marker. Only /haiku:haiku-repair --confirm-baseline-reset --diff-shown --confirm-diff-hash <sha> (operator-driven) may write it; the agent has no path here. Reads are also blocked because the diff hash leaking to an attacker chain would let them forge a valid-looking ack.`:t.kind==="baseline_thrash"?`BLOCKED: Cannot ${n} baseline-thrash.json via generic ${e}. This is the V-11 baseline-corruption circuit-breaker counter \u2014 workflow-engine-managed. Letting the agent reset it would let an attacker zero out the thrash detector right before each corruption attempt.`:t.kind==="settings"?`BLOCKED: Cannot ${n} .haiku/settings.yml via generic ${e}. Settings are schema-managed against plugin/schemas/settings.schema.json \u2014 use the MCP tool instead:
   ${n==="read"?'haiku_settings_get { field: "..." }':'haiku_settings_set { field: "...", value: ... }'}
-Generic file access skips schema validation and can drop settings into a shape the engine refuses to load.`:""}async function ypr(e){if(!Wx())return;let t=e.tool_name||"";if(t!=="Read"&&t!=="Write"&&t!=="Edit"&&t!=="MultiEdit")return;let r=(e.tool_input||{}).file_path||"";if(!r)return;let i=fpr(process.cwd(),r),s=mpr(i);s.kind!==null&&(s.kind==="brief"&&t!=="Read"||hpr(process.cwd())||(ppr(gpr(t,s)),process.exit(2)))}var XPt,QPt=v(()=>{"use strict";$v();ry();XPt={name:"guard-workflow-fields",description:"PreToolUse Read/Write/Edit/MultiEdit: enforce workflow-ownership boundary on .haiku state files (units, feedback, intent.md, stage state.json) \u2014 agents must use the corresponding MCP tools.",async handle(e,t){await ypr(e)}}});import{join as $Pt}from"node:path";function Spr(e){return e.replace(/^\//,"-").replace(/[/.]/g,"-")}function Epr(){let e={},t=["CLAUDE_SESSION_ID","CLAUDE_CODE_IS_COWORK","CLAUDE_MODEL","CLAUDE_CODE_VERSION","CLAUDE_CODE_ENTRYPOINT","USER"];for(let n of t){let r=process.env[n];r&&(e[n]=r)}return e.platform=process.platform,e.node_version=process.version,e.cwd=process.cwd(),e}async function bpr(e){if(!(e.tool_name||"").startsWith("haiku_"))return;let n={},r=e.session_id||process.env.CLAUDE_SESSION_ID;if(r){let i=process.env.CLAUDE_CONFIG_DIR||$Pt(process.env.HOME||"",".claude"),s=Spr(process.cwd());n.state_file=$Pt(i,"projects",s,r,"haiku.json")}n._session_context=Epr(),process.stdout.write(JSON.stringify(n))}var eCt,tCt=v(()=>{"use strict";ry();eCt={name:"inject-state-file",description:"PreToolUse: inject state_file path + _session_context into haiku_* tool calls.",async handle(e,t){await bpr(e)}}});async function Tpr(e,t){if(!Wx())return;let n=e.tool_name;if(n!=="Write"&&n!=="Edit")return;let r=e.tool_input||{},i=r.file_path||"";if(!i.includes("/.haiku/"))return;let s=r.content||r.new_string||"";_pr.test(s)&&process.stdout.write(`\u26A0\uFE0F PROMPT GUARD: Potential injection pattern detected in spec file write to ${i}
+Generic file access skips schema validation and can drop settings into a shape the engine refuses to load.`:""}async function $pr(e){if(!$x())return;let t=e.tool_name||"";if(t!=="Read"&&t!=="Write"&&t!=="Edit"&&t!=="MultiEdit")return;let r=(e.tool_input||{}).file_path||"";if(!r)return;let i=Ypr(process.cwd(),r),s=Xpr(i);s.kind!==null&&(s.kind==="brief"&&t!=="Read"||Jpr(process.cwd())||(Zpr(Qpr(t,s)),process.exit(2)))}var pCt,hCt=v(()=>{"use strict";tR();sy();pCt={name:"guard-workflow-fields",description:"PreToolUse Read/Write/Edit/MultiEdit: enforce workflow-ownership boundary on .haiku state files (units, feedback, intent.md, stage state.json) \u2014 agents must use the corresponding MCP tools.",async handle(e,t){await $pr(e)}}});import{join as mCt}from"node:path";function ehr(e){return e.replace(/^\//,"-").replace(/[/.]/g,"-")}function thr(){let e={},t=["CLAUDE_SESSION_ID","CLAUDE_CODE_IS_COWORK","CLAUDE_MODEL","CLAUDE_CODE_VERSION","CLAUDE_CODE_ENTRYPOINT","USER"];for(let n of t){let r=process.env[n];r&&(e[n]=r)}return e.platform=process.platform,e.node_version=process.version,e.cwd=process.cwd(),e}async function nhr(e){if(!(e.tool_name||"").startsWith("haiku_"))return;let n={},r=e.session_id||process.env.CLAUDE_SESSION_ID;if(r){let i=process.env.CLAUDE_CONFIG_DIR||mCt(process.env.HOME||"",".claude"),s=ehr(process.cwd());n.state_file=mCt(i,"projects",s,r,"haiku.json")}n._session_context=thr(),process.stdout.write(JSON.stringify(n))}var gCt,yCt=v(()=>{"use strict";sy();gCt={name:"inject-state-file",description:"PreToolUse: inject state_file path + _session_context into haiku_* tool calls.",async handle(e,t){await nhr(e)}}});async function ihr(e,t){if(!$x())return;let n=e.tool_name;if(n!=="Write"&&n!=="Edit")return;let r=e.tool_input||{},i=r.file_path||"";if(!i.includes("/.haiku/"))return;let s=r.content||r.new_string||"";rhr.test(s)&&process.stdout.write(`\u26A0\uFE0F PROMPT GUARD: Potential injection pattern detected in spec file write to ${i}
 Review the content before proceeding.
-`)}var _pr,nCt,rCt=v(()=>{"use strict";ry();$v();_pr=/ignore previous|disregard|override instructions|you are now|system prompt|<system>|<\/system>/i;nCt={name:"prompt-guard",description:"PreToolUse Write/Edit: advisory scan for prompt injection in haiku spec writes.",async handle(e,t){await Tpr(e,t.pluginRoot)}}});import{existsSync as vpr}from"node:fs";import{join as Apr}from"node:path";function Rpr(){let e=process.env.HAIKU_REDIRECT_PLAN_MODE;if(!e)return!1;let t=e.trim().toLowerCase();return t==="1"||t==="true"||t==="yes"||t==="on"}async function wpr(e,t){if(e.tool_name!=="EnterPlanMode"||!Rpr()||!sh()||Kx())return;let n=Y6();if(!vpr(Apr(n,".haiku")))return;let r=CP("start"),i={hookSpecificOutput:{hookEventName:"PreToolUse",permissionDecision:"deny",permissionDecisionReason:`H\xB7AI\xB7K\xB7U: Use ${r} instead of plan mode.
+`)}var rhr,SCt,bCt=v(()=>{"use strict";sy();tR();rhr=/ignore previous|disregard|override instructions|you are now|system prompt|<system>|<\/system>/i;SCt={name:"prompt-guard",description:"PreToolUse Write/Edit: advisory scan for prompt injection in haiku spec writes.",async handle(e,t){await ihr(e,t.pluginRoot)}}});import{existsSync as shr}from"node:fs";import{join as ohr}from"node:path";function ahr(){let e=process.env.HAIKU_REDIRECT_PLAN_MODE;if(!e)return!1;let t=e.trim().toLowerCase();return t==="1"||t==="true"||t==="yes"||t==="on"}async function chr(e,t){if(e.tool_name!=="EnterPlanMode"||!ahr()||!oh()||eO())return;let n=l8();if(!shr(ohr(n,".haiku")))return;let r=HN("start"),i={hookSpecificOutput:{hookEventName:"PreToolUse",permissionDecision:"deny",permissionDecisionReason:`H\xB7AI\xB7K\xB7U: Use ${r} instead of plan mode.
 
 The H\xB7AI\xB7K\xB7U plugin replaces Claude Code's built-in plan mode with a more comprehensive workflow:
 
@@ -1636,9 +1634,9 @@ The H\xB7AI\xB7K\xB7U plugin replaces Claude Code's built-in plan mode with a mo
 
 **To start:** Run \`${r}\` with a description of what you want to build.
 
-(To disable this redirect, unset \`HAIKU_REDIRECT_PLAN_MODE\` in your environment.)`}};process.stdout.write(JSON.stringify(i))}var iCt,sCt=v(()=>{"use strict";Sf();ry();$v();iCt={name:"redirect-plan-mode",description:"PreToolUse: when HAIKU_REDIRECT_PLAN_MODE is set and no intent is active, intercept EnterPlanMode (Claude Code) and redirect to /haiku:haiku-start.",async handle(e,t){await wpr(e,t.pluginRoot)}}});import{resolve as kpr}from"node:path";async function Ipr(e){if(!Kx())return;let t=e.tool_name||"";if(t!=="Write"&&t!=="Edit"&&t!=="MultiEdit")return;let n=e.tool_response??{};if(n.error||n.is_error===!0)return;let i=(e.tool_input||{}).file_path||"";i&&await n6(kpr(process.cwd(),i))}var oCt,aCt=v(()=>{"use strict";O_e();ry();$v();oCt={name:"stamp-agent-write",description:"PostToolUse Write/Edit/MultiEdit: append an `agent_write` action-log entry when the agent writes inside an intent's tracked drift surface, so the next drift-gate tick attributes the change to the agent and updates the baseline silently.",async handle(e,t){try{await Ipr(e)}catch{}}}});import{existsSync as cCt,readdirSync as xpr}from"node:fs";import{join as mve}from"node:path";function Opr(){let e=mve(process.cwd(),".haiku","intents");if(!cCt(e))return null;let t=xpr(e).filter(n=>cCt(mve(e,n,"intent.md")));return t.length===1?mve(e,t[0]):null}async function Npr(e,t){let n=e.tool_name;if(n!=="Write"&&n!=="Edit"||!Opr())return;let s=(e.tool_input||{}).file_path||"";s.includes("/.haiku/")||process.stdout.write(`\u26A0\uFE0F WORKFLOW GUARD: Editing ${s} \u2014 ensure this is within an active hat's scope.
-`)}var uCt,lCt=v(()=>{"use strict";ry();uCt={name:"workflow-guard",description:"PreToolUse Write/Edit: warn when editing outside the active hat's scope.",async handle(e,t){await Npr(e,t.pluginRoot)}}});var fCt={};Rr(fCt,{__HOOK_REGISTRY:()=>Upr,runHook:()=>Lpr});import{readFileSync as Ppr}from"node:fs";function Dpr(){try{return Ppr(0,"utf8")}catch{return""}}async function Lpr(e,t){if(Mpr.has(e))return;let n=Cpr.get(e);n||(console.error(`haiku: hook '${e}' not implemented`),process.exit(2));let r=Dpr(),i={};try{r.trim()&&(i=JSON.parse(r))}catch{}let{resolvePluginRoot:s}=await Promise.resolve().then(()=>(Ci(),y3e)),o=s();await n.handle(i,{pluginRoot:o})}var dCt,Cpr,Mpr,Upr,pCt=v(()=>{"use strict";KPt();YPt();QPt();tCt();rCt();sCt();aCt();lCt();dCt=[WPt,ZPt,XPt,eCt,nCt,iCt,oCt,uCt],Cpr=new Map(dCt.map(e=>[e.name,e])),Mpr=new Set(["quality-gate","track-outputs","ensure-deps","inject-context","subagent-hook","subagent-context","enforce-iteration"]);Upr=dCt});var gCt={};Rr(gCt,{runMigrate:()=>Bpr});import{execSync as Fpr}from"node:child_process";import{cpSync as qU,existsSync as iy,mkdirSync as Zx,readdirSync as hCt,readFileSync as jpr,writeFileSync as Yx}from"node:fs";import{basename as gve,join as xn}from"node:path";function mCt(e){let t=jpr(e,"utf8"),n=t.match(/^---\n([\s\S]*?)\n---\n?([\s\S]*)$/);if(!n)return{data:{},body:t};let r={};for(let i of n[1].split(`
-`)){let s=i.match(/^([\w][\w-]*):\s*(.*)$/);if(s){let[,o,a]=s;a==="null"?r[o]=null:a==="true"?r[o]=!0:a==="false"?r[o]=!1:/^-?\d+$/.test(a)?r[o]=Number.parseInt(a,10):a.startsWith("[")&&a.endsWith("]")?r[o]=a.slice(1,-1).split(",").map(c=>c.trim().replace(/^["']|["']$/g,"")).filter(Boolean):r[o]=a.replace(/^["']|["']$/g,"")}}return{data:r,body:n[2].trim()}}function Hpr(){return new Date().toISOString().replace(/\.\d{3}Z$/,"Z")}function yve(e){try{let{execSync:t}=Z("node:child_process");return t(`git log --diff-filter=A --follow --format=%aI -- "${e}" | tail -1`,{encoding:"utf8",timeout:5e3,cwd:process.cwd()}).trim()||null}catch{return null}}function qpr(e){try{let{execSync:t}=Z("node:child_process");return t(`git log -1 --format=%aI -- "${e}"`,{encoding:"utf8",timeout:5e3,cwd:process.cwd()}).trim()||null}catch{return null}}async function Bpr(e){let t=new Set,n=[];for(let _ of e)_.startsWith("--")?t.add(_):n.push(_);let i=!t.has("--apply")||t.has("--dry-run"),s=t.has("--all"),o=t.has("--allow-dirty"),a=t.has("--force"),c=process.cwd(),u=xn(c,".ai-dlc"),l=xn(c,".haiku","intents");if(!iy(u)){console.log("No .ai-dlc/ directory found. Nothing to migrate.");return}let d=hCt(u).filter(_=>{let T=xn(u,_);return iy(xn(T,"intent.md"))});if(d.length===0){console.log("No intents found in .ai-dlc/. Nothing to migrate.");return}if(n.length===0&&!s){let _=d.map(T=>`  ${T}`).join(`
+(To disable this redirect, unset \`HAIKU_REDIRECT_PLAN_MODE\` in your environment.)`}};process.stdout.write(JSON.stringify(i))}var ECt,_Ct=v(()=>{"use strict";_f();sy();tR();ECt={name:"redirect-plan-mode",description:"PreToolUse: when HAIKU_REDIRECT_PLAN_MODE is set and no intent is active, intercept EnterPlanMode (Claude Code) and redirect to /haiku:haiku-start.",async handle(e,t){await chr(e,t.pluginRoot)}}});import{resolve as uhr}from"node:path";async function lhr(e){if(!eO())return;let t=e.tool_name||"";if(t!=="Write"&&t!=="Edit"&&t!=="MultiEdit")return;let n=e.tool_response??{};if(n.error||n.is_error===!0)return;let i=(e.tool_input||{}).file_path||"";i&&await y5(uhr(process.cwd(),i))}var TCt,vCt=v(()=>{"use strict";q_e();sy();tR();TCt={name:"stamp-agent-write",description:"PostToolUse Write/Edit/MultiEdit: append an `agent_write` action-log entry when the agent writes inside an intent's tracked drift surface, so the next drift-gate tick attributes the change to the agent and updates the baseline silently.",async handle(e,t){try{await lhr(e)}catch{}}}});import{existsSync as RCt,readdirSync as dhr}from"node:fs";import{join as wve}from"node:path";function fhr(){let e=wve(process.cwd(),".haiku","intents");if(!RCt(e))return null;let t=dhr(e).filter(n=>RCt(wve(e,n,"intent.md")));return t.length===1?wve(e,t[0]):null}async function phr(e,t){let n=e.tool_name;if(n!=="Write"&&n!=="Edit"||!fhr())return;let s=(e.tool_input||{}).file_path||"";s.includes("/.haiku/")||process.stdout.write(`\u26A0\uFE0F WORKFLOW GUARD: Editing ${s} \u2014 ensure this is within an active hat's scope.
+`)}var ACt,wCt=v(()=>{"use strict";sy();ACt={name:"workflow-guard",description:"PreToolUse Write/Edit: warn when editing outside the active hat's scope.",async handle(e,t){await phr(e,t.pluginRoot)}}});var ICt={};Ar(ICt,{__HOOK_REGISTRY:()=>bhr,runHook:()=>Shr});import{readFileSync as hhr}from"node:fs";function yhr(){try{return hhr(0,"utf8")}catch{return""}}async function Shr(e,t){if(ghr.has(e))return;let n=mhr.get(e);n||(console.error(`haiku: hook '${e}' not implemented`),process.exit(2));let r=yhr(),i={};try{r.trim()&&(i=JSON.parse(r))}catch{}let{resolvePluginRoot:s}=await Promise.resolve().then(()=>(Ci(),xKe)),o=s();await n.handle(i,{pluginRoot:o})}var kCt,mhr,ghr,bhr,xCt=v(()=>{"use strict";uCt();dCt();hCt();yCt();bCt();_Ct();vCt();wCt();kCt=[cCt,lCt,pCt,gCt,SCt,ECt,TCt,ACt],mhr=new Map(kCt.map(e=>[e.name,e])),ghr=new Set(["quality-gate","track-outputs","ensure-deps","inject-context","subagent-hook","subagent-context","enforce-iteration"]);bhr=kCt});var NCt={};Ar(NCt,{runMigrate:()=>Rhr});import{execSync as Ehr}from"node:child_process";import{cpSync as $U,existsSync as oy,mkdirSync as tO,readdirSync as OCt,readFileSync as _hr,writeFileSync as nO}from"node:fs";import{basename as kve,join as xn}from"node:path";function PCt(e){let t=_hr(e,"utf8"),n=t.match(/^---\n([\s\S]*?)\n---\n?([\s\S]*)$/);if(!n)return{data:{},body:t};let r={};for(let i of n[1].split(`
+`)){let s=i.match(/^([\w][\w-]*):\s*(.*)$/);if(s){let[,o,a]=s;a==="null"?r[o]=null:a==="true"?r[o]=!0:a==="false"?r[o]=!1:/^-?\d+$/.test(a)?r[o]=Number.parseInt(a,10):a.startsWith("[")&&a.endsWith("]")?r[o]=a.slice(1,-1).split(",").map(c=>c.trim().replace(/^["']|["']$/g,"")).filter(Boolean):r[o]=a.replace(/^["']|["']$/g,"")}}return{data:r,body:n[2].trim()}}function Thr(){return new Date().toISOString().replace(/\.\d{3}Z$/,"Z")}function Ive(e){try{let{execSync:t}=K("node:child_process");return t(`git log --diff-filter=A --follow --format=%aI -- "${e}" | tail -1`,{encoding:"utf8",timeout:5e3,cwd:process.cwd()}).trim()||null}catch{return null}}function vhr(e){try{let{execSync:t}=K("node:child_process");return t(`git log -1 --format=%aI -- "${e}"`,{encoding:"utf8",timeout:5e3,cwd:process.cwd()}).trim()||null}catch{return null}}async function Rhr(e){let t=new Set,n=[];for(let _ of e)_.startsWith("--")?t.add(_):n.push(_);let i=!t.has("--apply")||t.has("--dry-run"),s=t.has("--all"),o=t.has("--allow-dirty"),a=t.has("--force"),c=process.cwd(),u=xn(c,".ai-dlc"),l=xn(c,".haiku","intents");if(!oy(u)){console.log("No .ai-dlc/ directory found. Nothing to migrate.");return}let d=OCt(u).filter(_=>{let T=xn(u,_);return oy(xn(T,"intent.md"))});if(d.length===0){console.log("No intents found in .ai-dlc/. Nothing to migrate.");return}if(n.length===0&&!s){let _=d.map(T=>`  ${T}`).join(`
 `);throw new Error(`refusing to run without a slug or --all.
 
 Found ${d.length} intent(s) in .ai-dlc/:
@@ -1650,91 +1648,91 @@ Usage:
   haiku migrate <slug> --apply       # actually write
   haiku migrate --all --apply        # actually write everything`)}if(s&&n.length>0)throw new Error(`--all is incompatible with explicit slug(s): ${n.join(", ")}
 
-Pick one: name slugs OR pass --all.`);if(n.length>0){let _=n.filter(T=>!d.includes(T));if(_.length>0){let T=d.map(A=>`  ${A}`).join(`
+Pick one: name slugs OR pass --all.`);if(n.length>0){let _=n.filter(T=>!d.includes(T));if(_.length>0){let T=d.map(R=>`  ${R}`).join(`
 `);throw new Error(`unknown intent slug(s): ${_.join(", ")}
 
 Available in .ai-dlc/:
-${T}`)}}let f=["-dev","-product","-design","-tests"],p=new Map,h=new Set,m=["-followup","-v2","-phase2"],y=new Map;for(let _ of d)for(let T of f)if(_.endsWith(T)){let A=_.slice(0,-T.length);d.includes(A)&&(p.has(A)||p.set(A,[]),p.get(A)?.push(_),h.add(_))}for(let _ of d)if(!h.has(_)){for(let T of m)if(_.endsWith(T)){let A=_.slice(0,-T.length);d.includes(A)&&y.set(_,A)}}if(p.size>0){console.log(`Detected ${p.size} multi-pass intent group(s):`);for(let[_,T]of p)console.log(`  ${_} \u2190 [${T.join(", ")}]`);console.log()}if(y.size>0){console.log(`Detected ${y.size} follow-up intent(s):`);for(let[_,T]of y)console.log(`  ${_} follows ${T}`);console.log()}let g=d.filter(_=>!h.has(_));if(n.length>0){let _=n.filter(T=>h.has(T));if(_.length>0){let T=_.map(A=>{for(let[R,x]of p)if(x.includes(A))return`${A} \u2192 ${R}`;return A});throw new Error(`merged sub-intent(s) cannot be migrated directly: ${_.join(", ")}
+${T}`)}}let f=["-dev","-product","-design","-tests"],p=new Map,h=new Set,m=["-followup","-v2","-phase2"],g=new Map;for(let _ of d)for(let T of f)if(_.endsWith(T)){let R=_.slice(0,-T.length);d.includes(R)&&(p.has(R)||p.set(R,[]),p.get(R)?.push(_),h.add(_))}for(let _ of d)if(!h.has(_)){for(let T of m)if(_.endsWith(T)){let R=_.slice(0,-T.length);d.includes(R)&&g.set(_,R)}}if(p.size>0){console.log(`Detected ${p.size} multi-pass intent group(s):`);for(let[_,T]of p)console.log(`  ${_} \u2190 [${T.join(", ")}]`);console.log()}if(g.size>0){console.log(`Detected ${g.size} follow-up intent(s):`);for(let[_,T]of g)console.log(`  ${_} follows ${T}`);console.log()}let y=d.filter(_=>!h.has(_));if(n.length>0){let _=n.filter(T=>h.has(T));if(_.length>0){let T=_.map(R=>{for(let[A,x]of p)if(x.includes(R))return`${R} \u2192 ${A}`;return R});throw new Error(`merged sub-intent(s) cannot be migrated directly: ${_.join(", ")}
 
 Migrate the base intent instead \u2014 sub-intents fold in automatically:
   ${T.join(`
-  `)}`)}}let E=n.length>0?g.filter(_=>n.includes(_)):g;if(!i&&!o){let _=null;try{_=Fpr("git status --porcelain",{encoding:"utf8",cwd:c,timeout:5e3}).trim()}catch{}if(_)throw new Error(`refusing to apply with uncommitted changes in the working tree.
+  `)}`)}}let b=n.length>0?y.filter(_=>n.includes(_)):y;if(!i&&!o){let _=null;try{_=Ehr("git status --porcelain",{encoding:"utf8",cwd:c,timeout:5e3}).trim()}catch{}if(_)throw new Error(`refusing to apply with uncommitted changes in the working tree.
 
 Commit or stash first, or pass --allow-dirty.
 
-${_}`)}console.log(`Found ${d.length} intent(s) in .ai-dlc/ (${g.length} primary, ${h.size} merged).
-Migrating ${E.length} primary intent(s)${i?" (DRY RUN \u2014 pass --apply to write)":""}.
-`);let S=0,b=0;for(let _ of E){let T=xn(u,_),A=xn(l,_);if(iy(A)){let ee=iy(xn(A,"stages"));if(ee&&!a){console.log(`  SKIP: ${_} (already migrated with stages)`),b++;continue}ee||console.log(`  RE-MIGRATE: ${_} (missing stages \u2014 upgrading)`)}let{data:R,body:x}=mCt(xn(T,"intent.md")),k=R.status||"active",N=x.match(/^# (.+)$/m)?.[1]||_,P=y.get(_)||"",C=yve(xn(T,"intent.md")),F=qpr(T),V=R.created||"",K=C||(V?`${V}T00:00:00Z`:Hpr()),$=k==="completed"||k==="complete"?F||K:null;if(i){console.log(`  DRY RUN: ${_} (status: ${k})`),S++;continue}Zx(xn(A,"knowledge"),{recursive:!0});let B=["inception","design","product","development","operations","security"],X={design:"design",dev:"development",product:"product",ops:"operations",security:"security"},G=[{dir:T,defaultStage:""}],M=p.get(_)||[],q={"-dev":"development","-product":"product","-design":"design","-tests":"development"};for(let ee of M){let ie=xn(u,ee),Me=f.find(Ae=>ee.endsWith(Ae))||"";G.push({dir:ie,defaultStage:q[Me]||"development"})}let U=new Map,D=0;for(let{dir:ee,defaultStage:ie}of G){let Me=hCt(ee).filter(Ae=>Ae.startsWith("unit-")&&Ae.endsWith(".md"));for(let Ae of Me){let{data:z,body:J}=mCt(xn(ee,Ae)),oe=z.pass||"",le=oe?X[oe]||"development":ie||"development";U.has(le)||U.set(le,[]),U.get(le)?.push({file:Ae,fm:z,body:J}),D++}if(ee!==T){if(iy(xn(ee,"discovery.md"))){let Ae=gve(ee);i||qU(xn(ee,"discovery.md"),xn(A,"knowledge",`${Ae}-discovery.md`))}if(iy(xn(ee,"mockups"))&&!i){let Ae=xn(A,"stages","design","artifacts");Zx(Ae,{recursive:!0});try{qU(xn(ee,"mockups"),Ae,{recursive:!0})}catch{}}}}let H=R.active_pass||"",j=H&&X[H]||"",W=R.epic||"";if(k==="completed"||k==="complete"){Yx(xn(A,"intent.md"),`---
-title: "${N}"
+${_}`)}console.log(`Found ${d.length} intent(s) in .ai-dlc/ (${y.length} primary, ${h.size} merged).
+Migrating ${b.length} primary intent(s)${i?" (DRY RUN \u2014 pass --apply to write)":""}.
+`);let S=0,E=0;for(let _ of b){let T=xn(u,_),R=xn(l,_);if(oy(R)){let ee=oy(xn(R,"stages"));if(ee&&!a){console.log(`  SKIP: ${_} (already migrated with stages)`),E++;continue}ee||console.log(`  RE-MIGRATE: ${_} (missing stages \u2014 upgrading)`)}let{data:A,body:x}=PCt(xn(T,"intent.md")),k=A.status||"active",P=x.match(/^# (.+)$/m)?.[1]||_,N=g.get(_)||"",C=Ive(xn(T,"intent.md")),L=vhr(T),G=A.created||"",W=C||(G?`${G}T00:00:00Z`:Thr()),$=k==="completed"||k==="complete"?L||W:null;if(i){console.log(`  DRY RUN: ${_} (status: ${k})`),S++;continue}tO(xn(R,"knowledge"),{recursive:!0});let q=["inception","design","product","development","operations","security"],Q={design:"design",dev:"development",product:"product",ops:"operations",security:"security"},B=[{dir:T,defaultStage:""}],F=p.get(_)||[],V={"-dev":"development","-product":"product","-design":"design","-tests":"development"};for(let ee of F){let se=xn(u,ee),Le=f.find(Ae=>ee.endsWith(Ae))||"";B.push({dir:se,defaultStage:V[Le]||"development"})}let U=new Map,M=0;for(let{dir:ee,defaultStage:se}of B){let Le=OCt(ee).filter(Ae=>Ae.startsWith("unit-")&&Ae.endsWith(".md"));for(let Ae of Le){let{data:z,body:J}=PCt(xn(ee,Ae)),oe=z.pass||"",le=oe?Q[oe]||"development":se||"development";U.has(le)||U.set(le,[]),U.get(le)?.push({file:Ae,fm:z,body:J}),M++}if(ee!==T){if(oy(xn(ee,"discovery.md"))){let Ae=kve(ee);i||$U(xn(ee,"discovery.md"),xn(R,"knowledge",`${Ae}-discovery.md`))}if(oy(xn(ee,"mockups"))&&!i){let Ae=xn(R,"stages","design","artifacts");tO(Ae,{recursive:!0});try{$U(xn(ee,"mockups"),Ae,{recursive:!0})}catch{}}}}let H=A.active_pass||"",j=H&&Q[H]||"",Y=A.epic||"";if(k==="completed"||k==="complete"){nO(xn(R,"intent.md"),`---
+title: "${P}"
 studio: software
 stages: [inception, design, product, development, operations, security]
 mode: continuous
 active_stage: security
 status: completed
-started_at: ${K}
-completed_at: ${$}${W?`
-epic: ${W}`:""}${P?`
-follows: ${P}`:""}
+started_at: ${W}
+completed_at: ${$}${Y?`
+epic: ${Y}`:""}${N?`
+follows: ${N}`:""}
 ---
 
 ${x}
-`);for(let ie of B)Zx(xn(A,"stages",ie,"units"),{recursive:!0}),Yx(xn(A,"stages",ie,"state.json"),`${JSON.stringify({stage:ie,status:"completed",phase:"gate",started_at:`${K}`,completed_at:`${$}`,gate_entered_at:null,gate_outcome:"advanced"},null,2)}
-`);for(let[ie,Me]of U){Zx(xn(A,"stages",ie,"units"),{recursive:!0});for(let{file:Ae,fm:z,body:J}of Me){let oe=z.status||"pending",le=z.depends_on||[],_e=z.discipline||"fullstack",wt=z.last_updated||yve(xn(T,Ae))||null,Ue=z.ticket||"",Ln=z.branch||"";Yx(xn(A,"stages",ie,"units",Ae),`---
-name: ${gve(Ae,".md")}
-type: ${_e}
+`);for(let se of q)tO(xn(R,"stages",se,"units"),{recursive:!0}),nO(xn(R,"stages",se,"state.json"),`${JSON.stringify({stage:se,status:"completed",phase:"gate",started_at:`${W}`,completed_at:`${$}`,gate_entered_at:null,gate_outcome:"advanced"},null,2)}
+`);for(let[se,Le]of U){tO(xn(R,"stages",se,"units"),{recursive:!0});for(let{file:Ae,fm:z,body:J}of Le){let oe=z.status||"pending",le=z.depends_on||[],Ee=z.discipline||"fullstack",kt=z.last_updated||Ive(xn(T,Ae))||null,Ue=z.ticket||"",Ln=z.branch||"";nO(xn(R,"stages",se,"units",Ae),`---
+name: ${kve(Ae,".md")}
+type: ${Ee}
 status: ${oe}
 depends_on: [${le.join(", ")}]
 bolt: 0
 hat: ""${Ue?`
 ticket: ${Ue}`:""}${Ln?`
 branch: ${Ln}`:""}
-started_at: ${wt||"null"}
-completed_at: ${oe==="completed"&&wt||"null"}
+started_at: ${kt||"null"}
+completed_at: ${oe==="completed"&&kt||"null"}
 ---
 
 ${J}
-`)}}let ee=M.length>0?` [merged: ${M.join(", ")}]`:"";console.log(`  MIGRATED: ${_} (completed, ${D} units across ${U.size} stage(s))${ee}`)}else{let ee=B.filter(Ae=>(!U.has(Ae)&&Ae!==j,!1)),ie=B.find(Ae=>U.has(Ae))||"";Yx(xn(A,"intent.md"),`---
-title: "${N}"
+`)}}let ee=F.length>0?` [merged: ${F.join(", ")}]`:"";console.log(`  MIGRATED: ${_} (completed, ${M} units across ${U.size} stage(s))${ee}`)}else{let ee=q.filter(Ae=>(!U.has(Ae)&&Ae!==j,!1)),se=q.find(Ae=>U.has(Ae))||"";nO(xn(R,"intent.md"),`---
+title: "${P}"
 studio: software
 stages: [inception, design, product, development, operations, security]
 mode: continuous
-active_stage: ${ie||'""'}
+active_stage: ${se||'""'}
 status: active
-started_at: ${K}
-completed_at: null${W?`
-epic: ${W}`:""}${P?`
-follows: ${P}`:""}
+started_at: ${W}
+completed_at: null${Y?`
+epic: ${Y}`:""}${N?`
+follows: ${N}`:""}
 ---
 
 ${x}
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 ${s.stack}`:String(s)}
 `)}if(n&&!r&&process.stderr.write(`[haiku statusline] no state (cwd=${process.cwd()})
-`),r){process.stdout.write(bCt(r));return}let i=CCt(t);if(i)try{let s=shr("sh",["-c",i],{input:e,encoding:"utf8",stdio:["pipe","pipe","ignore"]});process.stdout.write(s)}catch{}}function phr(e){return process.env.HAIKU_PROD==="1"?!0:process.env.HAIKU_DEV==="1"?!1:/\/\.claude\/(plugins|mcpb)\//.test(e)}function hhr(){let e=nn();if(e&&phr(e))return`npx -y ${fhr} statusline`;if(e){let t=Qu(e,"bin","haiku");if(tA(t))return`${t} statusline`}return"haiku statusline"}function MCt(e,t){return e?{settingsPath:Qu(X6(),".claude","settings.json"),haikuDir:Qu(X6(),".haiku")}:{settingsPath:Qu(t,".claude","settings.json"),haikuDir:Qu(t,".haiku")}}function mhr(e){let t=e.includes("--global"),n=process.cwd(),{settingsPath:r,haikuDir:i}=MCt(t,n),s={};if(tA(r))try{s=JSON.parse(GU(r,"utf8"))}catch{console.error(`haiku statusline install: ${r} is not valid JSON \u2014 fix or remove it first.`),process.exit(1)}let o=s.statusLine,a=hhr(),c=o&&typeof o=="object"&&typeof o.command=="string"&&o.command.includes("statusline");c||(OCt(i,{recursive:!0}),_ve(Qu(i,zU),JSON.stringify({statusLine:o??null},null,2))),s.statusLine={type:"command",command:a,padding:0},OCt(Tve(r),{recursive:!0}),_ve(r,`${JSON.stringify(s,null,2)}
+`),r){process.stdout.write(LCt(r));return}let i=ZCt(t);if(i)try{let s=qhr("sh",["-c",i],{input:e,encoding:"utf8",stdio:["pipe","pipe","ignore"]});process.stdout.write(s)}catch{}}function Zhr(e){return process.env.HAIKU_PROD==="1"?!0:process.env.HAIKU_DEV==="1"?!1:/\/\.claude\/(plugins|mcpb)\//.test(e)}function Jhr(){let e=nn();if(e&&Zhr(e))return`npx -y ${Yhr} statusline`;if(e){let t=tl(e,"bin","haiku");if(rR(t))return`${t} statusline`}return"haiku statusline"}function JCt(e,t){return e?{settingsPath:tl(f8(),".claude","settings.json"),haikuDir:tl(f8(),".haiku")}:{settingsPath:tl(t,".claude","settings.json"),haikuDir:tl(t,".haiku")}}function Xhr(e){let t=e.includes("--global"),n=process.cwd(),{settingsPath:r,haikuDir:i}=JCt(t,n),s={};if(rR(r))try{s=JSON.parse(tF(r,"utf8"))}catch{console.error(`haiku statusline install: ${r} is not valid JSON \u2014 fix or remove it first.`),process.exit(1)}let o=s.statusLine,a=Jhr(),c=o&&typeof o=="object"&&typeof o.command=="string"&&o.command.includes("statusline");c||(WCt(i,{recursive:!0}),Nve(tl(i,nF),JSON.stringify({statusLine:o??null},null,2))),s.statusLine={type:"command",command:a,padding:0},WCt(Cve(r),{recursive:!0}),Nve(r,`${JSON.stringify(s,null,2)}
 `),console.error(`haiku statusline installed \u2192 ${r}
   command: ${a}
-  fallback saved: ${c?"(unchanged)":Qu(i,zU)}`)}function ghr(e){let t=e.includes("--global"),n=process.cwd(),{settingsPath:r,haikuDir:i}=MCt(t,n);if(!tA(r)){console.error(`haiku statusline uninstall: no settings at ${r}`);return}let s;try{s=JSON.parse(GU(r,"utf8"))}catch{console.error(`haiku statusline uninstall: ${r} is not valid JSON`),process.exit(1)}let o=Qu(i,zU),a=null;if(tA(o))try{a=JSON.parse(GU(o,"utf8")).statusLine}catch{}a?s.statusLine=a:delete s.statusLine,_ve(r,`${JSON.stringify(s,null,2)}
+  fallback saved: ${c?"(unchanged)":tl(i,nF)}`)}function Qhr(e){let t=e.includes("--global"),n=process.cwd(),{settingsPath:r,haikuDir:i}=JCt(t,n);if(!rR(r)){console.error(`haiku statusline uninstall: no settings at ${r}`);return}let s;try{s=JSON.parse(tF(r,"utf8"))}catch{console.error(`haiku statusline uninstall: ${r} is not valid JSON`),process.exit(1)}let o=tl(i,nF),a=null;if(rR(o))try{a=JSON.parse(tF(o,"utf8")).statusLine}catch{}a?s.statusLine=a:delete s.statusLine,Nve(r,`${JSON.stringify(s,null,2)}
 `),console.error(`haiku statusline uninstalled \u2192 ${r}
-  restored: ${a?"original statusLine":"(none \u2014 removed)"}`)}async function yhr(e){let t=e[0];return t==="install"?mhr(e.slice(1)):t==="uninstall"?ghr(e.slice(1)):dhr()}var zU,fhr,LCt=v(()=>{"use strict";Ci();_Ct();xCt();zU="statusline-fallback.json";fhr="@haiku/haiku"});ih();process.on("uncaughtException",e=>{ms(e,{context:"uncaughtException"}),console.error("uncaughtException:",e),yf().finally(()=>process.exit(1))});process.on("unhandledRejection",e=>{let t=e instanceof Error?e:new Error(String(e));ms(t,{context:"unhandledRejection"}),console.error("unhandledRejection:",e),yf().finally(()=>process.exit(1))});var[Q6,...Ep]=process.argv.slice(2);if(Q6==="mcp"){let e=Promise.resolve().then(()=>(T3e(),_3e)).then(i=>{i.maybeRebuildSpaForDev(import.meta.url)}).catch(i=>(ms(i instanceof Error?i:new Error(String(i)),{context:"dev-spa-rebuild"}),console.error(`haiku mcp: SPA dev-rebuild failed: ${i instanceof Error?i.message:String(i)}`),yf().finally(()=>process.exit(1)))),t="",n=[];for(let i=0;i<Ep.length;i++)Ep[i]==="--harness"&&i+1<Ep.length?t=Ep[++i]:Ep[i].startsWith("--harness=")?t=Ep[i].split("=",2)[1]:n.push(Ep[i]);t||(t=process.env.HAIKU_HARNESS||"");let r=t?Promise.resolve().then(()=>(Sf(),v3e)).then(i=>i.setHarness(t)):Promise.resolve();Promise.all([e,r]).then(()=>Promise.resolve().then(()=>(BPt(),npr))).catch(i=>{ms(i,{context:"mcp-bootstrap"}),console.error(`haiku mcp: ${i.message}`),yf().finally(()=>process.exit(1))})}else if(Q6==="hook"){let e=Ep[0];e||(console.error("Usage: haiku hook <name>"),process.exit(1)),Promise.resolve().then(()=>(pCt(),fCt)).then(t=>t.runHook(e,Ep.slice(1))).catch(t=>{ms(t,{context:`hook:${e}`}),console.error(`haiku hook ${e}: ${t.message}`),yf().finally(()=>process.exit(1))})}else Q6==="migrate"?Promise.resolve().then(()=>(yCt(),gCt)).then(e=>e.runMigrate(Ep)).catch(e=>{ms(e,{context:"migrate"}),console.error(`haiku migrate: ${e.message}`),yf().finally(()=>process.exit(1))}):Q6==="statusline"?Promise.resolve().then(()=>(LCt(),DCt)).then(e=>e.runStatusline(Ep)).catch(e=>{ms(e,{context:"statusline"}),process.env.HAIKU_STATUSLINE_DEBUG&&console.error(`[haiku statusline] handler error: ${e instanceof Error?`${e.message}
-${e.stack}`:String(e)}`),yf().finally(()=>process.exit(0))}):(console.error("Usage: haiku <mcp|hook|migrate|statusline> [args...]"),process.exit(1));
+  restored: ${a?"original statusLine":"(none \u2014 removed)"}`)}async function $hr(e){let t=e[0];return t==="install"?Xhr(e.slice(1)):t==="uninstall"?Qhr(e.slice(1)):Khr()}var nF,Yhr,QCt=v(()=>{"use strict";Ci();UCt();VCt();nF="statusline-fallback.json";Yhr="@haiku/haiku"});sh();process.on("uncaughtException",e=>{ms(e,{context:"uncaughtException"}),console.error("uncaughtException:",e),Ef().finally(()=>process.exit(1))});process.on("unhandledRejection",e=>{let t=e instanceof Error?e:new Error(String(e));ms(t,{context:"unhandledRejection"}),console.error("unhandledRejection:",e),Ef().finally(()=>process.exit(1))});var[p8,...Ep]=process.argv.slice(2);if(p8==="mcp"){let e=Promise.resolve().then(()=>(MKe(),CKe)).then(i=>{i.maybeRebuildSpaForDev(import.meta.url)}).catch(i=>(ms(i instanceof Error?i:new Error(String(i)),{context:"dev-spa-rebuild"}),console.error(`haiku mcp: SPA dev-rebuild failed: ${i instanceof Error?i.message:String(i)}`),Ef().finally(()=>process.exit(1)))),t="",n=[];for(let i=0;i<Ep.length;i++)Ep[i]==="--harness"&&i+1<Ep.length?t=Ep[++i]:Ep[i].startsWith("--harness=")?t=Ep[i].split("=",2)[1]:n.push(Ep[i]);t||(t=process.env.HAIKU_HARNESS||"");let r=t?Promise.resolve().then(()=>(_f(),DKe)).then(i=>i.setHarness(t)):Promise.resolve();Promise.all([e,r]).then(()=>Promise.resolve().then(()=>(iCt(),Fpr))).catch(i=>{ms(i,{context:"mcp-bootstrap"}),console.error(`haiku mcp: ${i.message}`),Ef().finally(()=>process.exit(1))})}else if(p8==="hook"){let e=Ep[0];e||(console.error("Usage: haiku hook <name>"),process.exit(1)),Promise.resolve().then(()=>(xCt(),ICt)).then(t=>t.runHook(e,Ep.slice(1))).catch(t=>{ms(t,{context:`hook:${e}`}),console.error(`haiku hook ${e}: ${t.message}`),Ef().finally(()=>process.exit(1))})}else p8==="migrate"?Promise.resolve().then(()=>(CCt(),NCt)).then(e=>e.runMigrate(Ep)).catch(e=>{ms(e,{context:"migrate"}),console.error(`haiku migrate: ${e.message}`),Ef().finally(()=>process.exit(1))}):p8==="statusline"?Promise.resolve().then(()=>(QCt(),XCt)).then(e=>e.runStatusline(Ep)).catch(e=>{ms(e,{context:"statusline"}),process.env.HAIKU_STATUSLINE_DEBUG&&console.error(`[haiku statusline] handler error: ${e instanceof Error?`${e.message}
+${e.stack}`:String(e)}`),Ef().finally(()=>process.exit(0))}):(console.error("Usage: haiku <mcp|hook|migrate|statusline> [args...]"),process.exit(1));
 /*! Bundled license information:
 
 toad-cache/dist/toad-cache.cjs:
@@ -1776,17 +1774,6 @@ strip-bom-string/index.js:
    * Released under the MIT License.
    *)
 
-react/cjs/react-jsx-runtime.production.js:
-  (**
-   * @license React
-   * react-jsx-runtime.production.js
-   *
-   * Copyright (c) Meta Platforms, Inc. and affiliates.
-   *
-   * This source code is licensed under the MIT license found in the
-   * LICENSE file in the root directory of this source tree.
-   *)
-
 react/cjs/react.production.js:
   (**
    * @license React
@@ -1808,15 +1795,4 @@ react/cjs/react.development.js:
    * This source code is licensed under the MIT license found in the
    * LICENSE file in the root directory of this source tree.
    *)
-
-react/cjs/react-jsx-runtime.development.js:
-  (**
-   * @license React
-   * react-jsx-runtime.development.js
-   *
-   * Copyright (c) Meta Platforms, Inc. and affiliates.
-   *
-   * This source code is licensed under the MIT license found in the
-   * LICENSE file in the root directory of this source tree.
-   *)
 */
diff --git a/plugin/prompts/intent/seal/pending_seal/template.eta.md b/plugin/prompts/intent/seal/pending_seal/template.eta.md
new file mode 100644
index 000000000..dc6353a1d
--- /dev/null
+++ b/plugin/prompts/intent/seal/pending_seal/template.eta.md
@@ -0,0 +1,15 @@
+# Intent `<%= slug %>` — pending seal
+
+Every stage on **<%= slug %>** is built, every required approval is signed, and the reflection is recorded. The work is delivered to the change request on `<%= intentMain %>`.
+
+It is **not sealed yet.** An intent only seals once its work has landed on `<%= defaultBranch %>`. Right now `<%= intentMain %>` is still ahead of `<%= defaultBranch %>` — the change request hasn't merged.
+
+## What to do
+
+Tell the user the intent is ready to merge<% if (prUrl) { %> — the delivery change request is <%= prUrl %><% } %>. The engine will **not** merge it for you; merging into `<%= defaultBranch %>` is the user's call (or the host's branch-protection automation).
+
+Nothing further is required from you on this tick. The intent seals automatically the next time the engine runs after `<%= intentMain %>` lands on `<%= defaultBranch %>` — a local merge or a merged change request both count.
+
+The engine already merged the latest `<%= defaultBranch %>` into `<%= intentMain %>` before this tick (it keeps the branch current with its target every tick), so the change request stays mergeable. If that merge surfaced a genuine conflict, you'll have gotten a `pre_cursor_sync_conflict` instead of this message — resolve it and re-tick, then you'll land back here.
+
+When the user comes back later with `/haiku:haiku-pickup`, the engine re-syncs the branch and re-audits the open change request: any open feedback is addressed, and new review comments on the change request become fresh feedback items to resolve before it seals.
diff --git a/website/_build-prototype-content.mjs b/website/_build-prototype-content.mjs
index 3a29b0afa..7790ef5c3 100644
--- a/website/_build-prototype-content.mjs
+++ b/website/_build-prototype-content.mjs
@@ -12,8 +12,37 @@ import yaml from "js-yaml"
 
 const ROOT = join(import.meta.dirname, "..")
 const STUDIOS_DIR = join(ROOT, "plugin/studios")
+const PROMPTS_DIR = join(ROOT, "plugin/prompts")
 const OUT = join(import.meta.dirname, "public/prototype-stage-content.json")
 
+// Engine-owned review/approval roles (spec, continuity, cross-stage-consistency)
+// have no studio `review-agents/*.md` — their mandate lives in the engine prompt
+// bodies. The browse sign-off modal renders these, so bundle them keyed by the
+// phase walk (review = pre-execute, approve = post-execute, intent = completion)
+// and the role. File names use `cross_stage_consistency`; the sign-off role key
+// is `cross-stage-consistency`, so normalize.
+const ENGINE_BODY_DIRS = {
+	review: "stage/review/dispatch_review/engine-bodies",
+	approve: "stage/approve/dispatch_approval/engine-bodies",
+	intent: "intent/review/intent_review/engine-bodies",
+}
+function readEngineBodies() {
+	const out = {}
+	for (const [scope, rel] of Object.entries(ENGINE_BODY_DIRS)) {
+		const dir = join(PROMPTS_DIR, rel)
+		const roles = {}
+		if (existsSync(dir)) {
+			for (const f of readdirSync(dir).filter((n) => n.endsWith(".eta.md"))) {
+				const role = f.replace(/\.eta\.md$/, "").replace(/_/g, "-")
+				const raw = tryRead(join(dir, f))
+				if (raw) roles[role] = { body: raw, path: `plugin/prompts/${rel}/${f}` }
+			}
+		}
+		out[scope] = roles
+	}
+	return out
+}
+
 function tryRead(p) {
 	try {
 		return readFileSync(p, "utf8")
@@ -120,6 +149,10 @@ function buildStudio(dir) {
 			join(studioDir, "operations"),
 			`${repoPrefix}/operations`,
 		),
+		intentReviewAgents: listMdFiles(
+			join(studioDir, "intent-review-agents"),
+			`${repoPrefix}/intent-review-agents`,
+		),
 		templates: listMdFiles(
 			join(studioDir, "templates"),
 			`${repoPrefix}/templates`,
@@ -223,6 +256,14 @@ const payload = {
 	defaultStudio: "software",
 	studioList,
 	studios,
+	engineReviewBodies: readEngineBodies(),
+	// Global-tier intent-review-agents (e.g. delivery-verifier) every studio
+	// inherits — the sign-off modal resolves these when a studio tier doesn't
+	// override by name.
+	globalIntentReviewAgents: listMdFiles(
+		join(ROOT, "plugin/intent-review-agents"),
+		"plugin/intent-review-agents",
+	),
 }
 
 writeFileSync(OUT, JSON.stringify(payload, null, 2))
diff --git a/website/app/browse/components/BrowseSkeletons.tsx b/website/app/browse/components/BrowseSkeletons.tsx
new file mode 100644
index 000000000..f550fcbfa
--- /dev/null
+++ b/website/app/browse/components/BrowseSkeletons.tsx
@@ -0,0 +1,171 @@
+"use client"
+
+// Path-aware loading skeletons for the browse views. The skeleton shown while a
+// page loads should match the page being loaded — a deep link to a unit should
+// flash a unit-shaped skeleton, not the portfolio list. `BrowseSkeleton` picks
+// the right shape from the parsed location (unit > stage > intent > list).
+
+import type { BrowseLocation } from "@/lib/browse/url"
+
+/** Solid placeholder bar (stronger tone — titles, primary values). */
+function Bar({ className }: { className?: string }) {
+	return (
+		<div
+			className={`animate-pulse rounded bg-stone-200 dark:bg-stone-700 ${className ?? ""}`}
+		/>
+	)
+}
+/** Faint placeholder bar (secondary meta). */
+function Faint({ className }: { className?: string }) {
+	return (
+		<div
+			className={`animate-pulse rounded bg-stone-100 dark:bg-stone-800 ${className ?? ""}`}
+		/>
+	)
+}
+
+function Card({ children }: { children: React.ReactNode }) {
+	return (
+		<div className="rounded-xl border border-stone-200 p-4 dark:border-stone-700">
+			{children}
+		</div>
+	)
+}
+
+/** Portfolio list — header + a column of intent-card rows. */
+export function ListSkeleton() {
+	return (
+		<div className="mx-auto max-w-5xl px-4 py-8 lg:py-12">
+			<div className="mb-8">
+				<Bar className="mb-2 h-4 w-16" />
+				<Bar className="h-8 w-48" />
+				<Faint className="mt-2 h-4 w-64" />
+			</div>
+			<div className="space-y-3">
+				{[1, 2, 3, 4].map((i) => (
+					<div
+						key={i}
+						className="rounded-xl border border-stone-200 px-6 py-4 dark:border-stone-700"
+					>
+						<div className="flex items-center justify-between">
+							<div className="w-full">
+								<Bar className="h-5 w-48" />
+								<div className="mt-2 flex gap-4">
+									<Faint className="h-3 w-20" />
+									<Faint className="h-3 w-16" />
+									<Faint className="h-3 w-24" />
+								</div>
+							</div>
+							<Faint className="h-8 w-12" />
+						</div>
+						<Faint className="mt-3 h-1.5 w-full rounded-full" />
+					</div>
+				))}
+			</div>
+		</div>
+	)
+}
+
+/** Intent overview — title, meta row, a pipeline strip, and a few stage cards. */
+export function IntentSkeleton() {
+	return (
+		<div className="mx-auto max-w-5xl px-4 py-8 lg:py-12">
+			<Faint className="mb-4 h-4 w-24" />
+			<div className="mb-2 flex items-center gap-3">
+				<Bar className="h-8 w-72" />
+				<Faint className="h-5 w-20 rounded" />
+			</div>
+			<div className="mb-8 flex gap-4">
+				<Faint className="h-4 w-24" />
+				<Faint className="h-4 w-20" />
+				<Faint className="h-4 w-28" />
+			</div>
+			{/* pipeline strip */}
+			<div className="mb-8 flex flex-wrap gap-2">
+				{[1, 2, 3, 4, 5].map((i) => (
+					<Faint key={i} className="h-8 w-28 rounded-lg" />
+				))}
+			</div>
+			<div className="space-y-3">
+				{[1, 2, 3].map((i) => (
+					<Card key={i}>
+						<Bar className="h-5 w-40" />
+						<Faint className="mt-2 h-3 w-full" />
+						<Faint className="mt-1 h-3 w-2/3" />
+					</Card>
+				))}
+			</div>
+		</div>
+	)
+}
+
+/** Stage detail — breadcrumb, stage title, and a column of unit rows. */
+export function StageSkeleton() {
+	return (
+		<div className="mx-auto max-w-5xl px-4 py-8 lg:py-12">
+			<Faint className="mb-4 h-4 w-56" />
+			<Bar className="mb-2 h-7 w-56" />
+			<Faint className="mb-8 h-4 w-80" />
+			<Bar className="mb-3 h-4 w-24" />
+			<div className="space-y-2">
+				{[1, 2, 3, 4].map((i) => (
+					<div
+						key={i}
+						className="flex items-center justify-between rounded-lg border border-stone-200 px-4 py-3 dark:border-stone-700"
+					>
+						<div className="w-full">
+							<Bar className="h-4 w-56" />
+							<Faint className="mt-2 h-3 w-24" />
+						</div>
+						<Faint className="h-5 w-16 rounded" />
+					</div>
+				))}
+			</div>
+		</div>
+	)
+}
+
+/** Unit detail — breadcrumb, header, the quick-stat tile row, and sections. */
+export function UnitSkeleton() {
+	return (
+		<div className="mx-auto max-w-4xl px-4 py-8 lg:py-12">
+			<Faint className="mb-4 h-4 w-64" />
+			<div className="mb-8 flex items-center gap-3">
+				<Faint className="h-7 w-16 rounded-md" />
+				<Bar className="h-7 w-72" />
+			</div>
+			{/* quick-stat tiles */}
+			<div className="mb-8 grid grid-cols-2 gap-4 sm:grid-cols-3 lg:grid-cols-5">
+				{[1, 2, 3].map((i) => (
+					<Card key={i}>
+						<Faint className="h-3 w-16" />
+						<Bar className="mt-2 h-6 w-12" />
+					</Card>
+				))}
+			</div>
+			{/* sections */}
+			{[1, 2].map((i) => (
+				<div key={i} className="mb-8">
+					<Bar className="mb-3 h-4 w-40" />
+					<Card>
+						<Faint className="h-3 w-full" />
+						<Faint className="mt-2 h-3 w-5/6" />
+						<Faint className="mt-2 h-3 w-3/4" />
+					</Card>
+				</div>
+			))}
+		</div>
+	)
+}
+
+/** Pick the skeleton that matches the page being loaded. */
+export function BrowseSkeleton({
+	location,
+}: {
+	location?: BrowseLocation | null
+}) {
+	if (location?.unit) return <UnitSkeleton />
+	if (location?.stage) return <StageSkeleton />
+	if (location?.intent) return <IntentSkeleton />
+	return <ListSkeleton />
+}
diff --git a/website/app/browse/components/IntentDetailView.tsx b/website/app/browse/components/IntentDetailView.tsx
index f84f6bccc..26f549330 100644
--- a/website/app/browse/components/IntentDetailView.tsx
+++ b/website/app/browse/components/IntentDetailView.tsx
@@ -27,6 +27,8 @@ import { RESOLUTION_BADGES, SEVERITY_BADGES } from "./feedback-badges"
 import { FixHistory } from "./IterationHistory"
 import { IntentKanban } from "./KanbanView"
 import { RenderedHtmlFrame } from "./RenderedHtmlFrame"
+import { SignOffGroup } from "./SignOffGroup"
+import type { QualityGate } from "./studio-defs"
 import { UnitDetailView } from "./UnitDetailView"
 
 function titleCase(s: string): string {
@@ -233,8 +235,10 @@ export function IntentDetailView({
 				intentSlug={intent.slug}
 				intentTitle={intent.title}
 				intentMode={intent.mode}
+				studio={intent.studio}
 				schemaIsV4={isV4Intent(intent.raw)}
 				provider={provider}
+				intentBranch={intent.branch}
 				assets={intent.assets}
 				host={host || undefined}
 				feedback={unitFeedback}
@@ -517,6 +521,7 @@ export function IntentDetailView({
 										provider={provider}
 										providerName={provider.name}
 										slug={intent.slug}
+										intentBranch={intent.branch}
 										studio={intent.studio}
 										host={host || undefined}
 										project={location?.project || ""}
@@ -569,7 +574,11 @@ export function IntentDetailView({
 							<h2 className="mb-3 text-sm font-semibold uppercase tracking-wider text-stone-400">
 								Intent Approvals
 							</h2>
-							<IntentApprovalsCard approvals={intent.intentApprovals} />
+							<IntentApprovalsCard
+								approvals={intent.intentApprovals}
+								studio={intent.studio}
+								qualityGates={collectIntentQualityGates(intent)}
+							/>
 						</section>
 					)}
 
@@ -1171,7 +1180,6 @@ function ArtifactThumbnail({
 	return null
 }
 
-
 /** Group a stage's artifacts by their top-level directory (`proof`, `artifacts`,
  *  …). Files that sit directly at the stage root (no slash in the name) land in
  *  the `(other)` group. Groups are sorted by name with `(other)` last so the
@@ -1321,11 +1329,13 @@ function UnitOutputsSection({
 	host,
 	provider,
 	slug,
+	intentBranch,
 }: {
 	units: HaikuUnit[]
 	host?: string
 	provider?: BrowseProvider
 	slug: string
+	intentBranch?: string
 }) {
 	// path → set of unit names that declare it
 	const byOutput = new Map<string, string[]>()
@@ -1366,6 +1376,7 @@ function UnitOutputsSection({
 					host={host}
 					provider={provider}
 					slug={slug}
+					intentBranch={intentBranch}
 				/>
 			))}
 		</div>
@@ -1383,12 +1394,14 @@ function LazyOutputPreview({
 	host,
 	provider,
 	slug,
+	intentBranch,
 }: {
 	path: string
 	unitNames: string[]
 	host?: string
 	provider?: BrowseProvider
 	slug: string
+	intentBranch?: string
 }) {
 	const [open, setOpen] = useState(false)
 	const [state, setState] = useState<{
@@ -1421,7 +1434,7 @@ function LazyOutputPreview({
 				if (isTextFile(path)) {
 					let text: string | null = null
 					for (const c of candidates) {
-						text = await provider.readFile(c)
+						text = await provider.readFile(c, intentBranch)
 						if (text != null) break
 					}
 					setState({
@@ -1437,7 +1450,7 @@ function LazyOutputPreview({
 					let url: string | null = null
 					if (provider.resolveAssetUrl) {
 						for (const c of candidates) {
-							url = await provider.resolveAssetUrl(c)
+							url = await provider.resolveAssetUrl(c, intentBranch)
 							if (url != null) break
 						}
 					}
@@ -1460,32 +1473,25 @@ function LazyOutputPreview({
 				})
 			}
 		})()
-	}, [open, provider, path, slug])
+	}, [open, provider, path, slug, intentBranch])
 
 	return (
-		<div className="rounded-lg border border-stone-200 dark:border-stone-700">
+		<>
 			<button
 				type="button"
-				onClick={() => setOpen((v) => !v)}
-				className="flex w-full items-center justify-between gap-2 px-4 py-2.5 text-left"
+				onClick={() => setOpen(true)}
+				className="flex w-full items-center justify-between gap-2 rounded-lg border border-stone-200 px-4 py-2.5 text-left transition hover:border-teal-300 dark:border-stone-700 dark:hover:border-teal-700"
 			>
 				<span className="truncate font-mono text-xs text-stone-600 dark:text-stone-400">
 					{path}
 				</span>
-				<span className="flex items-center gap-2">
-					<span className="text-[10px] text-stone-400">
-						{unitNames.length === 1
-							? unitNames[0]
-							: `${unitNames.length} units`}
-					</span>
-					<span className="text-stone-400">{open ? "▾" : "▸"}</span>
+				<span className="text-[10px] text-stone-400">
+					{unitNames.length === 1 ? unitNames[0] : `${unitNames.length} units`}
 				</span>
 			</button>
 			{open && (
-				<div className="border-t border-stone-100 p-4 dark:border-stone-800">
-					{state.loading && (
-						<p className="text-xs text-stone-400">Loading…</p>
-					)}
+				<OutputFileModal name={path} onClose={() => setOpen(false)}>
+					{state.loading && <p className="text-xs text-stone-400">Loading…</p>}
 					{!state.loading && state.error && (
 						<p className="text-xs text-stone-400">{state.error}</p>
 					)}
@@ -1497,95 +1503,122 @@ function LazyOutputPreview({
 							host={host}
 						/>
 					)}
-				</div>
+				</OutputFileModal>
 			)}
+		</>
+	)
+}
+
+/** Centered modal shell for a previewed unit-output file — Escape / backdrop
+ *  close. Mirrors the unit view's DocModal so outputs open the same way on both
+ *  the stage and unit surfaces. */
+function OutputFileModal({
+	name,
+	onClose,
+	children,
+}: {
+	name: string
+	onClose: () => void
+	children: React.ReactNode
+}) {
+	useEffect(() => {
+		const onKey = (e: KeyboardEvent) => {
+			if (e.key === "Escape") onClose()
+		}
+		document.addEventListener("keydown", onKey)
+		document.body.style.overflow = "hidden"
+		return () => {
+			document.removeEventListener("keydown", onKey)
+			document.body.style.overflow = ""
+		}
+	}, [onClose])
+	return (
+		<div
+			className="fixed inset-0 z-50 flex items-center justify-center bg-black/60 p-4"
+			onClick={onClose}
+			onKeyDown={(e) => {
+				if (e.key === "Escape") onClose()
+			}}
+			role="dialog"
+			aria-modal="true"
+			aria-label={`File viewer: ${name}`}
+		>
+			{/* biome-ignore lint/a11y/noStaticElementInteractions: inner container stops backdrop-close propagation */}
+			{/* biome-ignore lint/a11y/useKeyWithClickEvents: stopPropagation is click-capture suppression */}
+			<div
+				className="flex max-h-[85vh] w-full max-w-3xl flex-col overflow-hidden rounded-xl border border-stone-200 bg-white shadow-2xl dark:border-stone-700 dark:bg-stone-900"
+				onClick={(e) => e.stopPropagation()}
+			>
+				<div className="flex items-center justify-between border-b border-stone-200 px-5 py-3 dark:border-stone-700">
+					<h3 className="truncate font-mono text-sm font-semibold text-stone-900 dark:text-stone-100">
+						{name}
+					</h3>
+					<button
+						type="button"
+						onClick={onClose}
+						className="ml-4 rounded p-1 text-stone-400 hover:text-stone-700 dark:hover:text-stone-200"
+						aria-label="Close"
+					>
+						&#10005;
+					</button>
+				</div>
+				<div className="flex-1 overflow-y-auto px-5 py-4">{children}</div>
+			</div>
 		</div>
 	)
 }
 
-/** Surfaces the engine's intent-completion approval roles. Each entry
- *  is a `{ role, signed, at }` triple read off `intent.md.approvals.*`.
- *  We label `intent_quality_gates` as derived (it's the union of every
- *  unit's `quality_gates:` declarations, never declared on intent.md).
- *  Studio-specific roles render with their raw key; viewers can hover
- *  for a tooltip explaining the role exists in the studio's
- *  `review-agents/` directory. */
+/** Union of every unit's executable quality gates across the intent — the set
+ *  the engine runs once at intent scope for the `intent_quality_gates` role.
+ *  Deduped by command so the same gate declared on many units shows once. */
+function collectIntentQualityGates(intent: HaikuIntentDetail): QualityGate[] {
+	const byCommand = new Map<string, QualityGate>()
+	for (const stage of intent.stages) {
+		for (const unit of stage.units) {
+			const gates = unit.raw.quality_gates
+			if (!Array.isArray(gates)) continue
+			for (const g of gates) {
+				if (
+					g &&
+					typeof g === "object" &&
+					typeof (g as { command?: unknown }).command === "string"
+				) {
+					const gate = g as QualityGate
+					if (!byCommand.has(gate.command)) byCommand.set(gate.command, gate)
+				}
+			}
+		}
+	}
+	return [...byCommand.values()]
+}
+
+/** Surfaces the engine's intent-completion approval roles via the shared
+ *  sign-off list, so each role opens the same modal as the unit view: engine
+ *  roles show their intent-completion prompt, `user` the gate description,
+ *  `intent_quality_gates` the command union, studio intent-review agents their
+ *  mandate. The engine writes these to `intent.md.approvals` as each gate fires. */
 function IntentApprovalsCard({
 	approvals,
+	studio,
+	qualityGates,
 }: {
 	approvals: ReadonlyArray<{ role: string; signed: boolean; at: string | null }>
+	studio: string
+	qualityGates: QualityGate[]
 }) {
-	const ENGINE_ROLES: Record<string, { label: string; tooltip: string }> = {
-		spec: {
-			label: "Spec",
-			tooltip:
-				"Intent-completion spec review — engine-built, mirrors the per-stage spec gate.",
-		},
-		continuity: {
-			label: "Continuity",
-			tooltip:
-				"Cross-stage continuity check — verifies that promises declared in earlier stages were honored.",
-		},
-		user: {
-			label: "User",
-			tooltip: "User approval — the human signs off on the intent as a whole.",
-		},
-		intent_quality_gates: {
-			label: "Intent quality gates",
-			tooltip:
-				"Derived role — the engine runs the union of every unit's `quality_gates:` declarations once at intent scope. Not declared on intent.md.",
-		},
-	}
 	return (
-		<div className="rounded-lg border border-stone-200 dark:border-stone-700 px-4 py-3 space-y-2">
-			{approvals.map((a) => {
-				const meta = ENGINE_ROLES[a.role]
-				const isDerived = a.role === "intent_quality_gates"
-				return (
-					<div key={a.role} className="flex items-center justify-between gap-3">
-						<div className="flex items-center gap-2">
-							<span
-								className={`rounded-full w-2 h-2 ${
-									a.signed
-										? "bg-green-500 dark:bg-green-400"
-										: "bg-stone-300 dark:bg-stone-600"
-								}`}
-								aria-hidden="true"
-							/>
-							<span
-								className="text-sm font-medium text-stone-800 dark:text-stone-200"
-								title={meta?.tooltip ?? `Studio-defined role: ${a.role}`}
-							>
-								{meta?.label ?? a.role}
-							</span>
-							{isDerived && (
-								<span className="rounded bg-stone-100 dark:bg-stone-800 px-1.5 py-0.5 text-[10px] font-mono uppercase tracking-wider text-stone-500 dark:text-stone-400">
-									derived
-								</span>
-							)}
-						</div>
-						<div className="flex items-center gap-2 text-xs text-stone-500 dark:text-stone-400">
-							{a.signed ? (
-								<>
-									<span className="rounded bg-green-100 text-green-700 dark:bg-green-900/30 dark:text-green-400 px-1.5 py-0.5 text-[10px] font-medium">
-										signed
-									</span>
-									{a.at && (
-										<time dateTime={a.at} className="font-mono">
-											{a.at.slice(0, 10)}
-										</time>
-									)}
-								</>
-							) : (
-								<span className="rounded bg-stone-100 text-stone-600 dark:bg-stone-800 dark:text-stone-400 px-1.5 py-0.5 text-[10px] font-medium">
-									pending
-								</span>
-							)}
-						</div>
-					</div>
-				)
-			})}
-		</div>
+		<SignOffGroup
+			title="Approvals"
+			entries={approvals.map((a) => ({
+				role: a.role,
+				signed: a.signed,
+				signedAt: a.at,
+			}))}
+			studio={studio}
+			stageName=""
+			scope="intent"
+			qualityGates={qualityGates}
+		/>
 	)
 }
 
@@ -1642,6 +1675,7 @@ function StageDetail({
 	provider,
 	providerName,
 	slug,
+	intentBranch,
 	studio,
 	host,
 	project,
@@ -1652,6 +1686,9 @@ function StageDetail({
 	provider: BrowseProvider
 	providerName: string
 	slug: string
+	/** Branch the intent lives on (`haiku/<slug>/main`); lazy output reads
+	 *  target it so an unmerged intent's deliverables resolve. */
+	intentBranch?: string
 	/** Studio slug — links the stage to its definition in the studio browser. */
 	studio: string
 	host?: string
@@ -1667,7 +1704,9 @@ function StageDetail({
 	const stageRoot = `.haiku/intents/${slug}/stages/${stage.name}`
 	const artifactBaseDir = (name: string): string => {
 		const slash = name.lastIndexOf("/")
-		return slash >= 0 ? `${stageRoot}/${name.slice(0, slash + 1)}` : `${stageRoot}/`
+		return slash >= 0
+			? `${stageRoot}/${name.slice(0, slash + 1)}`
+			: `${stageRoot}/`
 	}
 	const hasUnits = stage.units.length > 0
 	const hasArtifacts = (stage.artifacts?.length ?? 0) > 0
@@ -1932,6 +1971,7 @@ function StageDetail({
 				host={host}
 				provider={provider}
 				slug={slug}
+				intentBranch={intentBranch}
 			/>
 			{/* Per-stage OBSERVATIONS — the agent's free-form reflection
 			    written at stage close. Shown last; it's a retrospective. */}
@@ -2342,7 +2382,10 @@ function FeedbackList({
 		"low",
 	]
 	const sevCounts = Object.fromEntries(
-		SEVERITIES.map((s) => [s, statusVisible.filter((f) => f.severity === s).length]),
+		SEVERITIES.map((s) => [
+			s,
+			statusVisible.filter((f) => f.severity === s).length,
+		]),
 	) as Record<"blocker" | "high" | "medium" | "low", number>
 	const hasSeverities = SEVERITIES.some((s) => sevCounts[s] > 0)
 	return (
@@ -2490,9 +2533,9 @@ function FeedbackCard({
 							{resolutionBadge.label}
 						</span>
 					)}
-					{fb.origin && (
+					{(fb.author ?? fb.origin) && (
 						<span className="rounded bg-stone-50 dark:bg-stone-900 px-1.5 py-0.5 text-[10px] font-mono text-stone-500 dark:text-stone-400">
-							{fb.origin}
+							{fb.author ?? fb.origin}
 						</span>
 					)}
 					<span
diff --git a/website/app/browse/components/IterationHistory.tsx b/website/app/browse/components/IterationHistory.tsx
index 6dcdd72f3..68e8d5c63 100644
--- a/website/app/browse/components/IterationHistory.tsx
+++ b/website/app/browse/components/IterationHistory.tsx
@@ -1,9 +1,26 @@
+"use client"
+
 // Iteration-history timelines for the browse views — the per-hat handoff
 // messages the engine records on every advance/reject as a unit walks its
 // hat sequence or a finding goes through its fix loop. Shared by
 // UnitDetailView (unit "Hat history" + UnitFeedbackCard "Fix history") and
 // IntentDetailView (FeedbackCard "Fix history") so both read the handoff
-// the same way.
+// the same way. Rendered as a horizontal stepper: the hat sequence as
+// connected dots, click a step to read its handoff below.
+
+import { Fragment, useState } from "react"
+import { BrowseMarkdown } from "./BrowseMarkdown"
+
+// Markdown styling for a handoff baton. Tones down the default `prose`
+// blockquote (which renders oversized italic text wrapped in curly quotation
+// marks — it looked weird for a one-line `>` aside in a baton) into a quiet
+// left-ruled note, and drops the auto-inserted quote glyphs.
+const BATON_MARKDOWN_CLASS =
+	"prose prose-sm prose-stone max-w-none [overflow-wrap:anywhere] dark:prose-invert " +
+	"prose-blockquote:border-l-2 prose-blockquote:border-stone-300 prose-blockquote:pl-3 " +
+	"prose-blockquote:font-normal prose-blockquote:not-italic prose-blockquote:text-stone-500 " +
+	"dark:prose-blockquote:border-stone-600 dark:prose-blockquote:text-stone-400 " +
+	"[&_blockquote_p:first-of-type]:before:content-none [&_blockquote_p:last-of-type]:after:content-none"
 
 /** One hat-loop iteration from a unit or feedback frontmatter
  *  (VCS-parsed). Units use `result: advance | reject`; feedback uses
@@ -19,117 +36,145 @@ export interface HatIteration {
 	reason?: string
 }
 
+function isAdvance(result?: string | null): boolean {
+	return result === "advance" || result === "advanced" || result === "closed"
+}
+function isReject(result?: string | null): boolean {
+	return result === "reject" || result === "rejected" || result === "reopened"
+}
+
 /** Tailwind classes for an iteration's result pill, covering both the unit
  *  (`advance`/`reject`) and feedback (`advanced`/`closed`/`reopened`/
  *  `rejected`) result vocabularies. */
 export function iterationResultClass(result?: string | null): string {
-	if (result === "advance" || result === "advanced" || result === "closed") {
+	if (isAdvance(result)) {
 		return "bg-emerald-100 text-emerald-700 dark:bg-emerald-900/40 dark:text-emerald-300"
 	}
-	if (result === "reject" || result === "rejected" || result === "reopened") {
+	if (isReject(result)) {
 		return "bg-rose-100 text-rose-700 dark:bg-rose-900/40 dark:text-rose-300"
 	}
 	return "bg-stone-100 text-stone-600 dark:bg-stone-800 dark:text-stone-300"
 }
 
-/** Hat-history timeline for a browsed unit — the per-hat handoffs the
- *  engine recorded as the unit walked its hat sequence. Reads
- *  `iterations[]` from the unit frontmatter; renders nothing when absent. */
+/** The step node's dot — filled when selected, result-colored either way. */
+function dotClass(result: string | null | undefined, active: boolean): string {
+	const base = "h-3.5 w-3.5 flex-shrink-0 rounded-full border-2 transition"
+	if (isAdvance(result)) {
+		return `${base} border-emerald-500 ${active ? "bg-emerald-500" : "bg-emerald-100 dark:bg-emerald-900/40"}`
+	}
+	if (isReject(result)) {
+		return `${base} border-rose-500 ${active ? "bg-rose-500" : "bg-rose-100 dark:bg-rose-900/40"}`
+	}
+	return `${base} border-stone-400 ${active ? "bg-stone-400" : "bg-stone-100 dark:bg-stone-800"}`
+}
+
+function handoffOf(it: HatIteration): string | undefined {
+	return it.message ?? it.reason
+}
+
+/** Horizontal stepper for a hat sequence / fix loop. Each iteration is a
+ *  connected dot with its hat name + result; clicking one opens its handoff
+ *  baton (rendered markdown) in a panel below. Nothing is selected initially —
+ *  the timeline reads as a flow first, detail on demand. */
+function IterationStepper({ items }: { items: HatIteration[] }) {
+	const [selected, setSelected] = useState<number | null>(null)
+	const active = selected != null ? items[selected] : null
+	const activeHandoff = active ? handoffOf(active) : undefined
+	return (
+		<div>
+			<div className="flex items-start overflow-x-auto pb-1">
+				{items.map((it, i) => (
+					// biome-ignore lint/suspicious/noArrayIndexKey: append-only ordered log
+					<Fragment key={`step-${i}`}>
+						{i > 0 && (
+							<div className="mt-[7px] h-px min-w-[16px] flex-1 bg-stone-200 dark:bg-stone-700" />
+						)}
+						<button
+							type="button"
+							onClick={() => setSelected((s) => (s === i ? null : i))}
+							className="flex flex-col items-center gap-1 px-2"
+						>
+							<span className={dotClass(it.result, selected === i)} />
+							<span
+								className={`whitespace-nowrap text-xs font-semibold ${selected === i ? "text-stone-900 dark:text-white" : "text-stone-600 dark:text-stone-300"}`}
+							>
+								{it.hat ?? "—"}
+							</span>
+							{it.result && (
+								<span
+									className={`rounded px-1.5 py-0.5 text-[10px] font-semibold uppercase tracking-wider ${iterationResultClass(it.result)}`}
+								>
+									{it.result}
+								</span>
+							)}
+						</button>
+					</Fragment>
+				))}
+			</div>
+			{active ? (
+				<div className="mt-3 rounded-lg border border-stone-200 p-4 dark:border-stone-700">
+					<div className="mb-2 flex flex-wrap items-center gap-2 text-xs">
+						<span className="font-semibold text-stone-700 dark:text-stone-200">
+							{active.hat ?? "—"}
+						</span>
+						{typeof active.bolt === "number" && (
+							<span className="font-mono text-stone-400">
+								bolt {active.bolt}
+							</span>
+						)}
+						{active.commit && (
+							<code className="font-mono text-stone-400" title={active.commit}>
+								{active.commit.slice(0, 7)}
+							</code>
+						)}
+					</div>
+					{activeHandoff ? (
+						<div className={BATON_MARKDOWN_CLASS}>
+							<BrowseMarkdown>{activeHandoff}</BrowseMarkdown>
+						</div>
+					) : (
+						<p className="text-xs italic text-stone-400">
+							No handoff recorded.
+						</p>
+					)}
+				</div>
+			) : (
+				<p className="mt-2 text-xs text-stone-400">
+					Click a step to read its handoff.
+				</p>
+			)}
+		</div>
+	)
+}
+
+/** Hat-history stepper for a browsed unit — the per-hat handoffs the engine
+ *  recorded as the unit walked its hat sequence. Reads `iterations[]` from the
+ *  unit frontmatter; renders nothing when absent. */
 export function HatHistory({ iterations }: { iterations?: unknown }) {
 	if (!Array.isArray(iterations) || iterations.length === 0) return null
-	const items = iterations as HatIteration[]
 	return (
 		<section className="mt-8">
 			<h2 className="mb-3 text-sm font-semibold uppercase tracking-wider text-stone-400">
 				Hat history
 			</h2>
-			<ol className="space-y-3 rounded-xl border border-stone-200 p-6 dark:border-stone-700">
-				{items.map((it, idx) => {
-					const handoff = it.message ?? it.reason
-					return (
-						<li
-							// biome-ignore lint/suspicious/noArrayIndexKey: append-only ordered log
-							key={`hat-iter-${idx}`}
-							className="border-l-2 border-stone-200 pl-3 dark:border-stone-700"
-						>
-							<div className="flex flex-wrap items-center gap-2">
-								<span className="font-semibold text-stone-800 dark:text-stone-200">
-									{it.hat ?? "—"}
-								</span>
-								{it.result && (
-									<span
-										className={`rounded px-1.5 py-0.5 text-[11px] font-semibold uppercase tracking-wider ${iterationResultClass(it.result)}`}
-									>
-										{it.result}
-									</span>
-								)}
-								{it.commit && (
-									<code
-										className="font-mono text-[11px] text-stone-500 dark:text-stone-400"
-										title={it.commit}
-									>
-										{it.commit.slice(0, 7)}
-									</code>
-								)}
-							</div>
-							{handoff && (
-								<p className="mt-1 text-sm text-stone-600 [overflow-wrap:anywhere] dark:text-stone-300">
-									{handoff}
-								</p>
-							)}
-						</li>
-					)
-				})}
-			</ol>
+			<div className="rounded-xl border border-stone-200 p-6 dark:border-stone-700">
+				<IterationStepper items={iterations as HatIteration[]} />
+			</div>
 		</section>
 	)
 }
 
-/** Compact fix-history timeline for a browsed feedback card — the per-hat
- *  handoff messages the fix loop recorded against the finding. Reads
- *  `iterations[]` from the FB frontmatter; renders nothing when absent. */
+/** Compact fix-history stepper for a browsed feedback card — the per-hat
+ *  handoffs the fix loop recorded against the finding. Reads `iterations[]`
+ *  from the FB frontmatter; renders nothing when absent. */
 export function FixHistory({ iterations }: { iterations?: unknown }) {
 	if (!Array.isArray(iterations) || iterations.length === 0) return null
-	const items = iterations as HatIteration[]
 	return (
 		<div className="mt-3">
-			<div className="mb-1 text-[10px] uppercase tracking-wider text-stone-400">
+			<div className="mb-2 text-[10px] uppercase tracking-wider text-stone-400">
 				Fix history
 			</div>
-			<ol className="space-y-2 border-l-2 border-stone-200 pl-3 dark:border-stone-700">
-				{items.map((it, idx) => {
-					const handoff = it.message ?? it.reason
-					return (
-						<li
-							// biome-ignore lint/suspicious/noArrayIndexKey: append-only ordered log
-							key={`fb-iter-${idx}`}
-						>
-							<div className="flex flex-wrap items-center gap-2">
-								{typeof it.bolt === "number" && (
-									<span className="font-mono text-[10px] text-stone-400">
-										bolt {it.bolt}
-									</span>
-								)}
-								<span className="text-sm font-medium text-stone-800 dark:text-stone-200">
-									{it.hat ?? "—"}
-								</span>
-								{it.result && (
-									<span
-										className={`rounded px-1.5 py-0.5 text-[10px] font-semibold uppercase tracking-wider ${iterationResultClass(it.result)}`}
-									>
-										{it.result}
-									</span>
-								)}
-							</div>
-							{handoff && (
-								<p className="mt-0.5 text-sm text-stone-600 [overflow-wrap:anywhere] dark:text-stone-300">
-									{handoff}
-								</p>
-							)}
-						</li>
-					)
-				})}
-			</ol>
+			<IterationStepper items={iterations as HatIteration[]} />
 		</div>
 	)
 }
diff --git a/website/app/browse/components/KanbanView.tsx b/website/app/browse/components/KanbanView.tsx
index 87201d9c2..c3ff74389 100644
--- a/website/app/browse/components/KanbanView.tsx
+++ b/website/app/browse/components/KanbanView.tsx
@@ -268,7 +268,11 @@ export function IntentKanban({ intent, onSelectUnit }: IntentKanbanProps) {
 												{titleCase(unit.stageName)}
 											</span>
 											{unit.hat && <span>Hat: {titleCase(unit.hat)}</span>}
-											{unit.bolt > 0 && <span>Bolt {unit.bolt}</span>}
+											{unit.bolt > 0 && (
+												<span>
+													{unit.bolt} iter{unit.bolt === 1 ? "" : "s"}
+												</span>
+											)}
 										</div>
 										{total > 0 && (
 											<div className="mt-2">
diff --git a/website/app/browse/components/PortfolioView.tsx b/website/app/browse/components/PortfolioView.tsx
index f549a7435..c68d30470 100644
--- a/website/app/browse/components/PortfolioView.tsx
+++ b/website/app/browse/components/PortfolioView.tsx
@@ -25,6 +25,7 @@ import type {
 import { formatDate, formatDuration } from "@/lib/browse/types"
 import type { BrowseLocation } from "@/lib/browse/url"
 import { buildBrowseUrl } from "@/lib/browse/url"
+import { BrowseSkeleton } from "./BrowseSkeletons"
 import { IntentDetailView } from "./IntentDetailView"
 import { PortfolioKanban } from "./KanbanView"
 import type { SearchSelection } from "./SearchBar"
@@ -81,7 +82,7 @@ export function PortfolioView({
 		useState<HaikuIntentDetail | null>(null)
 	const [loading, setLoading] = useState(true)
 	const [loadingMore, setLoadingMore] = useState(false)
-	const [_loadingDetail, setLoadingDetail] = useState(false)
+	const [loadingDetail, setLoadingDetail] = useState(false)
 	const [viewMode, setViewMode] = useState<"list" | "board">(
 		location?.view === "board" ? "board" : "list",
 	)
@@ -644,6 +645,12 @@ export function PortfolioView({
 		)
 	}
 
+	// Deep link still resolving its intent detail — show the skeleton that
+	// matches the target (intent / stage / unit), not the portfolio list.
+	if (location?.intent && loadingDetail) {
+		return <BrowseSkeleton location={location} />
+	}
+
 	return (
 		<div
 			className={`mx-auto px-4 py-8 lg:py-12 ${viewMode === "board" ? "max-w-full" : "max-w-5xl"}`}
@@ -890,6 +897,14 @@ export function PortfolioView({
 													{intent.mode}
 												</strong>
 											</span>
+											{(intent.createdAt || intent.startedAt) && (
+												<span>
+													Created:{" "}
+													<strong className="text-stone-700 dark:text-stone-300">
+														{formatDate(intent.createdAt ?? intent.startedAt)}
+													</strong>
+												</span>
+											)}
 											{intent.branch && (
 												<span
 													className="font-mono text-xs text-stone-400 dark:text-stone-500"
diff --git a/website/app/browse/components/RemoteBrowseView.tsx b/website/app/browse/components/RemoteBrowseView.tsx
index 8dc621351..bf71b27b4 100644
--- a/website/app/browse/components/RemoteBrowseView.tsx
+++ b/website/app/browse/components/RemoteBrowseView.tsx
@@ -16,6 +16,7 @@ import { addRecent } from "@/lib/browse/recents"
 import type { BrowseProvider } from "@/lib/browse/types"
 import type { BrowseLocation } from "@/lib/browse/url"
 import { parseBrowsePath } from "@/lib/browse/url"
+import { BrowseSkeleton } from "./BrowseSkeletons"
 import { PortfolioView } from "./PortfolioView"
 
 function titleCase(s: string): string {
@@ -131,30 +132,9 @@ export function RemoteBrowseView({ pathSegments, branch: branchParam }: Props) {
 	}
 
 	if (loading) {
-		return (
-			<div className="mx-auto max-w-5xl px-4 py-8 lg:py-12">
-				<div className="mb-8">
-					<div className="mb-2 h-4 w-16 animate-pulse rounded bg-stone-200 dark:bg-stone-700" />
-					<div className="h-8 w-48 animate-pulse rounded bg-stone-200 dark:bg-stone-700" />
-					<div className="mt-2 h-4 w-64 animate-pulse rounded bg-stone-100 dark:bg-stone-800" />
-				</div>
-				<div className="space-y-3">
-					{[1, 2, 3].map((i) => (
-						<div
-							key={i}
-							className="animate-pulse rounded-xl border border-stone-200 px-6 py-4 dark:border-stone-700"
-						>
-							<div className="h-5 w-48 rounded bg-stone-200 dark:bg-stone-700" />
-							<div className="mt-2 flex gap-4">
-								<div className="h-3 w-20 rounded bg-stone-100 dark:bg-stone-800" />
-								<div className="h-3 w-16 rounded bg-stone-100 dark:bg-stone-800" />
-							</div>
-							<div className="mt-3 h-1.5 w-full rounded-full bg-stone-100 dark:bg-stone-800" />
-						</div>
-					))}
-				</div>
-			</div>
-		)
+		// Match the skeleton to the page being loaded (a deep link to a unit
+		// flashes a unit-shaped skeleton, not the portfolio list).
+		return <BrowseSkeleton location={location} />
 	}
 
 	if (error) {
diff --git a/website/app/browse/components/SignOffGroup.tsx b/website/app/browse/components/SignOffGroup.tsx
new file mode 100644
index 000000000..44679b892
--- /dev/null
+++ b/website/app/browse/components/SignOffGroup.tsx
@@ -0,0 +1,216 @@
+"use client"
+
+// Shared review/approval sign-off list — one signed/pending row per role, with
+// the studio review-agent roles opening their mandate in a modal. Used by both
+// the unit detail view (per-unit Reviews + Approvals) and the intent overview
+// (intent-completion approvals) so the two surfaces render sign-offs the same
+// way.
+
+import { useEffect, useState } from "react"
+import { formatDate } from "@/lib/browse/types"
+import { BrowseMarkdown } from "./BrowseMarkdown"
+import {
+	loadRoleDef,
+	type QualityGate,
+	roleOpensModal,
+	type SignOffScope,
+} from "./studio-defs"
+
+export interface SignOffEntry {
+	role: string
+	signed: boolean
+	signedAt: string | null
+}
+
+/** Human label for a review/approval role. Raw role names read fine; we just
+ *  tidy the multi-word engine roles and the special gates. */
+export function roleLabel(role: string): string {
+	if (role === "user") return "User"
+	if (role === "quality_gates") return "Quality Gates"
+	if (role === "intent_quality_gates") return "Intent Quality Gates"
+	if (role === "cross-stage-consistency") return "Cross-stage Consistency"
+	return role
+		.split(/[-_]/)
+		.map((w) => w.charAt(0).toUpperCase() + w.slice(1))
+		.join(" ")
+}
+
+/** A group of sign-offs (e.g. "Reviews" or "Approvals"). Each role opens a
+ *  modal explaining what it does: a studio agent's mandate, an engine role's
+ *  prompt body, the user-gate description, or the quality-gate command list.
+ *  `stage` may be empty for intent-scope approvals — the loader then scans all
+ *  stages for a stage-defined agent. `scope` picks the engine prompt variant
+ *  (review = pre-execute, approve = post-execute, intent = completion). */
+export function SignOffGroup({
+	title,
+	entries,
+	studio,
+	stageName,
+	scope,
+	qualityGates,
+}: {
+	title: string
+	entries: SignOffEntry[]
+	studio: string
+	stageName: string
+	scope: SignOffScope
+	qualityGates?: QualityGate[]
+}) {
+	const [def, setDef] = useState<{
+		role: string
+		body: string
+		path: string | null
+	} | null>(null)
+	const openDef = async (role: string) => {
+		const loaded = await loadRoleDef({
+			role,
+			studio,
+			stage: stageName,
+			scope,
+			qualityGates,
+		})
+		if (loaded) setDef({ role, body: loaded.body, path: loaded.path })
+	}
+	return (
+		<div className="rounded-xl border border-stone-200 dark:border-stone-700">
+			<div className="border-b border-stone-100 px-4 py-2 text-xs font-semibold uppercase tracking-wider text-stone-400 dark:border-stone-800">
+				{title}
+			</div>
+			<ul className="divide-y divide-stone-100 dark:divide-stone-800">
+				{entries.map(({ role, signed, signedAt }) => (
+					<li
+						key={role}
+						className="flex items-center justify-between gap-3 px-4 py-2.5"
+					>
+						<div className="flex min-w-0 items-center gap-2">
+							<span
+								className={`flex h-5 w-5 flex-shrink-0 items-center justify-center rounded-full ${
+									signed
+										? "bg-green-100 text-green-600 dark:bg-green-900/30 dark:text-green-400"
+										: "bg-amber-100 text-amber-600 dark:bg-amber-900/30 dark:text-amber-400"
+								}`}
+							>
+								{signed ? (
+									<svg
+										className="h-3 w-3"
+										fill="none"
+										viewBox="0 0 24 24"
+										stroke="currentColor"
+										aria-hidden="true"
+									>
+										<title>signed</title>
+										<path
+											strokeLinecap="round"
+											strokeLinejoin="round"
+											strokeWidth={3}
+											d="M5 13l4 4L19 7"
+										/>
+									</svg>
+								) : (
+									<span
+										className="h-1.5 w-1.5 rounded-full bg-current"
+										aria-hidden="true"
+									/>
+								)}
+							</span>
+							{roleOpensModal(role, studio, qualityGates) ? (
+								<button
+									type="button"
+									onClick={() => openDef(role)}
+									className="truncate text-left text-sm text-teal-700 hover:underline dark:text-teal-400"
+								>
+									{roleLabel(role)}
+								</button>
+							) : (
+								<span className="truncate text-sm text-stone-700 dark:text-stone-300">
+									{roleLabel(role)}
+								</span>
+							)}
+						</div>
+						<span className="flex-shrink-0 text-xs text-stone-400">
+							{signedAt ? formatDate(signedAt) : signed ? "signed" : "pending"}
+						</span>
+					</li>
+				))}
+			</ul>
+			{def && (
+				<AgentDefModal
+					title={roleLabel(def.role)}
+					path={def.path}
+					body={def.body}
+					onClose={() => setDef(null)}
+				/>
+			)}
+		</div>
+	)
+}
+
+/** Modal that renders a review-agent mandate (markdown) in place. */
+function AgentDefModal({
+	title,
+	path,
+	body,
+	onClose,
+}: {
+	title: string
+	path: string | null
+	body: string
+	onClose: () => void
+}) {
+	useEffect(() => {
+		const onKey = (e: KeyboardEvent) => {
+			if (e.key === "Escape") onClose()
+		}
+		document.addEventListener("keydown", onKey)
+		document.body.style.overflow = "hidden"
+		return () => {
+			document.removeEventListener("keydown", onKey)
+			document.body.style.overflow = ""
+		}
+	}, [onClose])
+	return (
+		<div
+			className="fixed inset-0 z-50 flex items-center justify-center bg-black/60 p-4"
+			onClick={onClose}
+			onKeyDown={(e) => {
+				if (e.key === "Escape") onClose()
+			}}
+			role="dialog"
+			aria-modal="true"
+			aria-label={`Agent definition: ${title}`}
+		>
+			{/* biome-ignore lint/a11y/noStaticElementInteractions: inner container stops backdrop-close propagation */}
+			{/* biome-ignore lint/a11y/useKeyWithClickEvents: stopPropagation is click-capture suppression */}
+			<div
+				className="flex max-h-[85vh] w-full max-w-3xl flex-col overflow-hidden rounded-xl border border-stone-200 bg-white shadow-2xl dark:border-stone-700 dark:bg-stone-900"
+				onClick={(e) => e.stopPropagation()}
+			>
+				<div className="flex items-center justify-between border-b border-stone-200 px-5 py-3 dark:border-stone-700">
+					<div className="min-w-0">
+						<h3 className="text-sm font-semibold text-stone-900 dark:text-stone-100">
+							{title}
+						</h3>
+						{path && (
+							<p className="truncate font-mono text-xs text-stone-400">
+								{path}
+							</p>
+						)}
+					</div>
+					<button
+						type="button"
+						onClick={onClose}
+						className="ml-4 rounded p-1 text-stone-400 hover:text-stone-700 dark:hover:text-stone-200"
+						aria-label="Close"
+					>
+						&#10005;
+					</button>
+				</div>
+				<div className="flex-1 overflow-y-auto px-5 py-4">
+					<div className="prose prose-sm prose-stone max-w-none dark:prose-invert">
+						<BrowseMarkdown>{body}</BrowseMarkdown>
+					</div>
+				</div>
+			</div>
+		</div>
+	)
+}
diff --git a/website/app/browse/components/UnitDetailView.tsx b/website/app/browse/components/UnitDetailView.tsx
index bba403a3c..ae6dab4dc 100644
--- a/website/app/browse/components/UnitDetailView.tsx
+++ b/website/app/browse/components/UnitDetailView.tsx
@@ -1,5 +1,6 @@
 "use client"
 
+import matter from "gray-matter"
 import { useEffect, useState } from "react"
 import ReactMarkdown from "react-markdown"
 import remarkGfm from "remark-gfm"
@@ -15,12 +16,19 @@ import type {
 	HaikuFeedback,
 	HaikuUnit,
 } from "@/lib/browse/types"
-import { formatDate, formatDuration } from "@/lib/browse/types"
+import {
+	formatDate,
+	formatDuration,
+	formatDurationMs,
+} from "@/lib/browse/types"
 import { AssetLightbox } from "./AssetLightbox"
 import { AuthenticatedMedia } from "./AuthenticatedMedia"
+import { FilePreview, isTextFile } from "./FilePreview"
 import { RESOLUTION_BADGES } from "./feedback-badges"
 import { FixHistory, HatHistory } from "./IterationHistory"
 import { RenderedHtmlFrame } from "./RenderedHtmlFrame"
+import { SignOffGroup } from "./SignOffGroup"
+import type { QualityGate } from "./studio-defs"
 
 function titleCase(s: string): string {
 	return s
@@ -37,6 +45,22 @@ function splitUnitName(name: string): { badge: string | null; title: string } {
 	return { badge: null, title: titleCase(name) }
 }
 
+/** Serialize unit frontmatter to YAML (its on-disk format) for the raw-FM
+ *  accordion. Uses gray-matter's stringify (already the website's YAML lib)
+ *  and strips the `---` fences so it reads as a plain YAML doc. Falls back to
+ *  pretty JSON if a value can't be dumped. */
+function frontmatterYaml(raw: Record<string, unknown>): string {
+	try {
+		return matter
+			.stringify("", raw)
+			.replace(/^---\n/, "")
+			.replace(/\n---\s*$/, "")
+			.trimEnd()
+	} catch {
+		return JSON.stringify(raw, null, 2)
+	}
+}
+
 const FIELD_LABELS: Record<string, string> = {
 	ticket: "Ticket",
 	epic: "Epic",
@@ -54,11 +78,18 @@ interface Props {
 	/** Intent mode (autopilot drops the user gate) — drives the expected
 	 *  review/approval role set in the sign-offs section. */
 	intentMode: string
+	/** Studio slug — links each non-engine review/approval role to its studio
+	 *  definition on the stage page. */
+	studio: string
 	/** Whether the intent is v4+ (has the review/approval model). v3 units
 	 *  predate it — the sign-offs section then shows only what's stamped
 	 *  rather than fabricating a matrix of never-signed gates. */
 	schemaIsV4: boolean
 	provider: BrowseProvider
+	/** Branch the intent lives on (`haiku/<slug>/main`); artifact reads target
+	 *  it so an unmerged intent's inputs/outputs resolve from where they live,
+	 *  not the default branch. */
+	intentBranch?: string
 	assets?: HaikuAsset[]
 	host?: string
 	feedback?: HaikuFeedback[]
@@ -73,7 +104,9 @@ export function UnitDetailView({
 	stageName,
 	intentSlug,
 	intentMode,
+	studio,
 	provider,
+	intentBranch,
 	assets = [],
 	host,
 	feedback = [],
@@ -145,39 +178,48 @@ export function UnitDetailView({
 				</p>
 			</header>
 
-			{/* Quick Stats */}
+			{/* Quick Stats — only tiles that carry real signal for this unit.
+			    Criteria shows only when the unit declared checkbox criteria;
+			    Iterations (hat dispatches) only when the unit has run; Hat (the
+			    current hat) only while in-flight — a completed unit's hats live
+			    in the Hat history stepper below. */}
 			<div className="mb-8 grid grid-cols-2 gap-4 sm:grid-cols-3 lg:grid-cols-5">
-				<div className="rounded-lg border border-stone-200 p-4 dark:border-stone-700">
-					<div className="text-xs font-medium uppercase tracking-wider text-stone-400">
-						Criteria
-					</div>
-					<div className="mt-1 text-2xl font-bold">
-						{checkedCount}
-						<span className="text-stone-400">/{totalCriteria}</span>
-					</div>
-					{totalCriteria > 0 && (
+				{totalCriteria > 0 && (
+					<div className="rounded-lg border border-stone-200 p-4 dark:border-stone-700">
+						<div className="text-xs font-medium uppercase tracking-wider text-stone-400">
+							Criteria
+						</div>
+						<div className="mt-1 text-2xl font-bold">
+							{checkedCount}
+							<span className="text-stone-400">/{totalCriteria}</span>
+						</div>
 						<div className="mt-2 h-1.5 overflow-hidden rounded-full bg-stone-100 dark:bg-stone-800">
 							<div
 								className={`h-full rounded-full transition-all ${progress === 100 ? "bg-green-500" : "bg-teal-500"}`}
 								style={{ width: `${progress}%` }}
 							/>
 						</div>
-					)}
-				</div>
-				<div className="rounded-lg border border-stone-200 p-4 dark:border-stone-700">
-					<div className="text-xs font-medium uppercase tracking-wider text-stone-400">
-						Bolt
 					</div>
-					<div className="mt-1 text-2xl font-bold">{unit.bolt || 0}</div>
-				</div>
-				<div className="rounded-lg border border-stone-200 p-4 dark:border-stone-700">
-					<div className="text-xs font-medium uppercase tracking-wider text-stone-400">
-						Hat
+				)}
+				{unit.bolt > 0 && (
+					<div className="rounded-lg border border-stone-200 p-4 dark:border-stone-700">
+						<div className="text-xs font-medium uppercase tracking-wider text-stone-400">
+							Iterations
+						</div>
+						<div className="mt-1 text-2xl font-bold">{unit.bolt}</div>
+						<div className="mt-0.5 text-xs text-stone-400">hat dispatches</div>
 					</div>
-					<div className="mt-1 text-lg font-semibold">
-						{unit.hat ? titleCase(unit.hat) : "—"}
+				)}
+				{unit.status === "active" && unit.hat && (
+					<div className="rounded-lg border border-stone-200 p-4 dark:border-stone-700">
+						<div className="text-xs font-medium uppercase tracking-wider text-stone-400">
+							Current Hat
+						</div>
+						<div className="mt-1 text-lg font-semibold">
+							{titleCase(unit.hat)}
+						</div>
 					</div>
-				</div>
+				)}
 				<div className="rounded-lg border border-stone-200 p-4 dark:border-stone-700">
 					<div className="text-xs font-medium uppercase tracking-wider text-stone-400">
 						Status
@@ -186,20 +228,37 @@ export function UnitDetailView({
 						{titleCase(unit.status)}
 					</div>
 				</div>
-				{unit.startedAt && (
-					<div className="rounded-lg border border-stone-200 p-4 dark:border-stone-700">
-						<div className="text-xs font-medium uppercase tracking-wider text-stone-400">
-							{unit.completedAt ? "Duration" : "Elapsed"}
-						</div>
-						<div className="mt-1 text-lg font-semibold">
-							{formatDuration(unit.startedAt, unit.completedAt)}
-						</div>
-						<div className="mt-0.5 text-xs text-stone-400">
-							{formatDate(unit.startedAt)}
-							{unit.completedAt ? ` — ${formatDate(unit.completedAt)}` : ""}
-						</div>
-					</div>
-				)}
+				{unit.startedAt &&
+					(() => {
+						const active = unitActiveMs(unit.raw)
+						const wall = formatDuration(unit.startedAt, unit.completedAt)
+						return (
+							<div className="rounded-lg border border-stone-200 p-4 dark:border-stone-700">
+								<div
+									className="text-xs font-medium uppercase tracking-wider text-stone-400"
+									title={
+										active != null
+											? "Sum of each hat-dispatch's duration — excludes idle gaps between dispatches."
+											: undefined
+									}
+								>
+									{active != null
+										? "Active"
+										: unit.completedAt
+											? "Duration"
+											: "Elapsed"}
+								</div>
+								<div className="mt-1 text-lg font-semibold">
+									{active != null ? formatDurationMs(active) : wall}
+								</div>
+								<div className="mt-0.5 text-xs text-stone-400">
+									{active != null && wall ? `${wall} elapsed · ` : ""}
+									{formatDate(unit.startedAt)}
+									{unit.completedAt ? ` — ${formatDate(unit.completedAt)}` : ""}
+								</div>
+							</div>
+						)
+					})()}
 			</div>
 
 			{/* Completion Criteria */}
@@ -264,6 +323,8 @@ export function UnitDetailView({
 				unit={unit}
 				intentMode={intentMode}
 				schemaIsV4={schemaIsV4}
+				studio={studio}
+				stageName={stageName}
 			/>
 
 			{/* Feedback targeting this unit */}
@@ -306,6 +367,7 @@ export function UnitDetailView({
 					paths={unit.inputs}
 					intentSlug={intentSlug}
 					provider={provider}
+					intentBranch={intentBranch}
 				/>
 			)}
 
@@ -316,6 +378,7 @@ export function UnitDetailView({
 					paths={unit.outputs}
 					intentSlug={intentSlug}
 					provider={provider}
+					intentBranch={intentBranch}
 				/>
 			)}
 
@@ -325,6 +388,7 @@ export function UnitDetailView({
 					refs={unit.refs}
 					intentSlug={intentSlug}
 					provider={provider}
+					intentBranch={intentBranch}
 					assets={assets}
 					host={host}
 				/>
@@ -404,15 +468,19 @@ export function UnitDetailView({
 			{/* Hat history — per-hat handoffs as the unit walked its sequence */}
 			<HatHistory iterations={unit.raw.iterations} />
 
-			{/* Frontmatter Debug (collapsed) */}
+			{/* Frontmatter Debug (collapsed) — rendered as syntax-highlighted YAML
+			    (the on-disk format) rather than raw JSON. */}
 			{Object.keys(unit.raw).length > 0 && (
 				<details className="mt-8">
 					<summary className="cursor-pointer text-xs text-stone-400 hover:text-stone-600">
 						Raw frontmatter
 					</summary>
-					<pre className="mt-2 overflow-x-auto rounded-lg bg-stone-50 p-4 text-xs text-stone-600 dark:bg-stone-900 dark:text-stone-400">
-						{JSON.stringify(unit.raw, null, 2)}
-					</pre>
+					<div className="mt-2">
+						<FilePreview
+							name="frontmatter.yaml"
+							content={frontmatterYaml(unit.raw)}
+						/>
+					</div>
 				</details>
 			)}
 		</div>
@@ -465,9 +533,9 @@ function UnitFeedbackCard({ fb }: { fb: HaikuFeedback }) {
 							{resolutionBadge.label}
 						</span>
 					)}
-					{fb.origin && (
+					{(fb.author ?? fb.origin) && (
 						<span className="rounded bg-stone-50 dark:bg-stone-900 px-1.5 py-0.5 text-[10px] font-mono text-stone-500 dark:text-stone-400">
-							{fb.origin}
+							{fb.author ?? fb.origin}
 						</span>
 					)}
 					<span
@@ -508,34 +576,18 @@ function UnitFeedbackCard({ fb }: { fb: HaikuFeedback }) {
 	)
 }
 
-const TEXT_EXTENSIONS = new Set([
-	"md",
-	"json",
-	"yaml",
-	"yml",
-	"txt",
-	"toml",
-	"csv",
-	"xml",
-	"html",
-	"feature",
-])
-
-function isTextFile(path: string): boolean {
-	const ext = path.split(".").pop()?.toLowerCase() || ""
-	return TEXT_EXTENSIONS.has(ext)
-}
-
 function RefsSection({
 	refs,
 	intentSlug,
 	provider,
+	intentBranch,
 	assets,
 	host,
 }: {
 	refs: string[]
 	intentSlug: string
 	provider: BrowseProvider
+	intentBranch?: string
 	assets: HaikuAsset[]
 	host?: string
 }) {
@@ -573,6 +625,7 @@ function RefsSection({
 								ref_={ref}
 								intentSlug={intentSlug}
 								provider={provider}
+								intentBranch={intentBranch}
 							/>
 						)
 					}
@@ -637,10 +690,12 @@ function TextRefItem({
 	ref_,
 	intentSlug,
 	provider,
+	intentBranch,
 }: {
 	ref_: string
 	intentSlug: string
 	provider: BrowseProvider
+	intentBranch?: string
 }) {
 	const [content, setContent] = useState<string | null>(null)
 	const [showModal, setShowModal] = useState(false)
@@ -655,6 +710,7 @@ function TextRefItem({
 		if (content === null) {
 			const raw = await provider.readFile(
 				`.haiku/intents/${intentSlug}/${ref_}`,
+				intentBranch,
 			)
 			setContent(raw || "(empty)")
 		}
@@ -774,9 +830,10 @@ function DocModal({
 					) : filePath.endsWith(".feature") ? (
 						<GherkinView content={content} />
 					) : (
-						<pre className="overflow-x-auto text-xs text-stone-600 dark:text-stone-400">
-							{content}
-						</pre>
+						// Source / config / text — FilePreview syntax-highlights code
+						// (its CODE_LANG map drives hljs) and falls back to a plain
+						// block for anything unmapped.
+						<FilePreview name={filePath} content={content} />
 					)}
 				</div>
 			</div>
@@ -956,16 +1013,43 @@ function readSignOffs(
 	return expectedRoles.map((role) => slotSignOff(role, record[role]))
 }
 
-/** Human label for a review/approval role. Raw role names read fine; we just
- *  tidy the multi-word engine roles and the special gates. */
-function roleLabel(role: string): string {
-	if (role === "user") return "User"
-	if (role === "quality_gates") return "Quality Gates"
-	if (role === "cross-stage-consistency") return "Cross-stage Consistency"
-	return role
-		.split(/[-_]/)
-		.map((w) => w.charAt(0).toUpperCase() + w.slice(1))
-		.join(" ")
+/** Collect a unit's executable quality gates from frontmatter — the
+ *  `{name, command, dir?}` objects (prose strings are skipped). Surfaced in the
+ *  sign-off modal for the `quality_gates` role. */
+function unitQualityGates(raw: Record<string, unknown>): QualityGate[] {
+	const gates = raw.quality_gates
+	if (!Array.isArray(gates)) return []
+	return gates.flatMap((g) =>
+		g &&
+		typeof g === "object" &&
+		typeof (g as { command?: unknown }).command === "string"
+			? [g as QualityGate]
+			: [],
+	)
+}
+
+/** Active working time on a unit: the sum of each hat-dispatch's own duration
+ *  (iteration `completed_at − started_at`). Excludes the idle gaps between
+ *  dispatches — waiting on the user, queueing, time between bolts — that inflate
+ *  a naive start→end wall clock. Null when no iteration carries both stamps. */
+function unitActiveMs(raw: Record<string, unknown>): number | null {
+	const its = raw.iterations
+	if (!Array.isArray(its)) return null
+	let sum = 0
+	let counted = 0
+	for (const it of its) {
+		if (!it || typeof it !== "object") continue
+		const s = (it as { started_at?: unknown }).started_at
+		const e = (it as { completed_at?: unknown }).completed_at
+		if (typeof s === "string" && typeof e === "string") {
+			const d = new Date(e).getTime() - new Date(s).getTime()
+			if (Number.isFinite(d) && d >= 0) {
+				sum += d
+				counted++
+			}
+		}
+	}
+	return counted > 0 ? sum : null
 }
 
 /**
@@ -981,10 +1065,14 @@ function SignOffsSection({
 	unit,
 	intentMode,
 	schemaIsV4,
+	studio,
+	stageName,
 }: {
 	unit: HaikuUnit
 	intentMode: string
 	schemaIsV4: boolean
+	studio: string
+	stageName: string
 }) {
 	const isAutopilot = intentMode === "autopilot"
 	const reviewsRaw = recordOf(unit.raw.reviews)
@@ -1006,6 +1094,7 @@ function SignOffsSection({
 	const reviews = readSignOffs(reviewsRaw, reviewRoles)
 	const approvals = readSignOffs(approvalsRaw, approvalRoles)
 	if (reviews.length === 0 && approvals.length === 0) return null
+	const qualityGates = unitQualityGates(unit.raw)
 	return (
 		<section className="mb-8">
 			<h2 className="mb-3 text-sm font-semibold uppercase tracking-wider text-stone-400">
@@ -1013,79 +1102,30 @@ function SignOffsSection({
 			</h2>
 			<div className="grid gap-4 sm:grid-cols-2">
 				{reviews.length > 0 && (
-					<SignOffGroup title="Reviews" entries={reviews} />
+					<SignOffGroup
+						title="Reviews"
+						entries={reviews}
+						studio={studio}
+						stageName={stageName}
+						scope="review"
+						qualityGates={qualityGates}
+					/>
 				)}
 				{approvals.length > 0 && (
-					<SignOffGroup title="Approvals" entries={approvals} />
+					<SignOffGroup
+						title="Approvals"
+						entries={approvals}
+						studio={studio}
+						stageName={stageName}
+						scope="approve"
+						qualityGates={qualityGates}
+					/>
 				)}
 			</div>
 		</section>
 	)
 }
 
-function SignOffGroup({
-	title,
-	entries,
-}: {
-	title: string
-	entries: Array<{ role: string; signed: boolean; signedAt: string | null }>
-}) {
-	return (
-		<div className="rounded-xl border border-stone-200 dark:border-stone-700">
-			<div className="border-b border-stone-100 px-4 py-2 text-xs font-semibold uppercase tracking-wider text-stone-400 dark:border-stone-800">
-				{title}
-			</div>
-			<ul className="divide-y divide-stone-100 dark:divide-stone-800">
-				{entries.map(({ role, signed, signedAt }) => (
-					<li
-						key={role}
-						className="flex items-center justify-between gap-3 px-4 py-2.5"
-					>
-						<div className="flex items-center gap-2 min-w-0">
-							<span
-								className={`flex h-5 w-5 flex-shrink-0 items-center justify-center rounded-full ${
-									signed
-										? "bg-green-100 text-green-600 dark:bg-green-900/30 dark:text-green-400"
-										: "bg-amber-100 text-amber-600 dark:bg-amber-900/30 dark:text-amber-400"
-								}`}
-							>
-								{signed ? (
-									<svg
-										className="h-3 w-3"
-										fill="none"
-										viewBox="0 0 24 24"
-										stroke="currentColor"
-										aria-hidden="true"
-									>
-										<title>signed</title>
-										<path
-											strokeLinecap="round"
-											strokeLinejoin="round"
-											strokeWidth={3}
-											d="M5 13l4 4L19 7"
-										/>
-									</svg>
-								) : (
-									<span
-										className="h-1.5 w-1.5 rounded-full bg-current"
-										aria-hidden="true"
-									/>
-								)}
-							</span>
-							<span className="truncate text-sm text-stone-700 dark:text-stone-300">
-								{roleLabel(role)}
-							</span>
-						</div>
-						<span className="flex-shrink-0 text-xs text-stone-400">
-							{signedAt ? formatDate(signedAt) : signed ? "signed" : "pending"}
-						</span>
-					</li>
-				))}
-			</ul>
-		</div>
-	)
-}
-
 const OUTPUT_IMAGE_EXTS = new Set([
 	"png",
 	"jpg",
@@ -1118,6 +1158,46 @@ function dirOf(path: string): string {
 	return path.includes("/") ? path.substring(0, path.lastIndexOf("/")) : ""
 }
 
+/** A unit's declared input/output path is EITHER repo-root-relative (a code
+ *  file the unit produced, e.g. `web/.../X.tsx`) OR intent-relative (a knowledge
+ *  artifact, e.g. `stages/<stage>/artifacts/plan.md`). Try as-is first (repo
+ *  root), then resolved under the intent dir — same resolution the stage view's
+ *  LazyOutputPreview uses, so both surfaces resolve both shapes. */
+function artifactCandidates(path: string, intentSlug: string): string[] {
+	if (path.startsWith(".haiku/")) return [path]
+	return [path, `.haiku/intents/${intentSlug}/${path}`]
+}
+
+/** Read the first candidate that resolves, from the intent's branch. */
+async function readArtifact(
+	provider: BrowseProvider,
+	path: string,
+	intentSlug: string,
+	ref?: string,
+): Promise<string | null> {
+	for (const c of artifactCandidates(path, intentSlug)) {
+		const text = await provider.readFile(c, ref)
+		if (text != null) return text
+	}
+	return null
+}
+
+/** Resolve the first candidate that yields a usable asset URL, from the
+ *  intent's branch. */
+async function resolveArtifactUrl(
+	provider: BrowseProvider,
+	path: string,
+	intentSlug: string,
+	ref?: string,
+): Promise<string | null> {
+	if (!provider.resolveAssetUrl) return null
+	for (const c of artifactCandidates(path, intentSlug)) {
+		const url = await provider.resolveAssetUrl(c, ref)
+		if (url != null) return url
+	}
+	return null
+}
+
 /**
  * A unit's intent-relative artifact paths (`.haiku/intents/<slug>/<path>`),
  * made viewable — used for both `inputs` (consumed) and `outputs` (produced).
@@ -1132,12 +1212,14 @@ function ArtifactsSection({
 	paths,
 	intentSlug,
 	provider,
+	intentBranch,
 }: {
 	/** Singular section noun, e.g. "Output" / "Input". */
 	noun: string
 	paths: string[]
 	intentSlug: string
 	provider: BrowseProvider
+	intentBranch?: string
 }) {
 	const intentPrefix = `.haiku/intents/${intentSlug}/`
 	const classified = paths.map((path) => ({
@@ -1164,16 +1246,18 @@ function ArtifactsSection({
 								<OutputImageCard
 									key={o.path}
 									path={o.path}
-									repoPath={`${intentPrefix}${o.path}`}
+									intentSlug={intentSlug}
 									provider={provider}
+									intentBranch={intentBranch}
 								/>
 							) : (
 								<OutputHtmlCard
 									key={o.path}
 									path={o.path}
-									repoPath={`${intentPrefix}${o.path}`}
+									intentSlug={intentSlug}
 									baseDir={`${intentPrefix}${dirOf(o.path)}${dirOf(o.path) ? "/" : ""}`}
 									provider={provider}
+									intentBranch={intentBranch}
 								/>
 							),
 						)}
@@ -1191,15 +1275,17 @@ function ArtifactsSection({
 								<OutputTextItem
 									key={o.path}
 									path={o.path}
-									repoPath={`${intentPrefix}${o.path}`}
+									intentSlug={intentSlug}
 									provider={provider}
+									intentBranch={intentBranch}
 								/>
 							) : (
 								<OutputDownloadItem
 									key={o.path}
 									path={o.path}
-									repoPath={`${intentPrefix}${o.path}`}
+									intentSlug={intentSlug}
 									provider={provider}
+									intentBranch={intentBranch}
 								/>
 							),
 						)}
@@ -1214,24 +1300,26 @@ function ArtifactsSection({
  *  private git repo) and previews it; click to view fullscreen. */
 function OutputImageCard({
 	path,
-	repoPath,
+	intentSlug,
 	provider,
+	intentBranch,
 }: {
 	path: string
-	repoPath: string
+	intentSlug: string
 	provider: BrowseProvider
+	intentBranch?: string
 }) {
 	const [url, setUrl] = useState<string | null>(null)
 	const [full, setFull] = useState(false)
 	useEffect(() => {
 		let cancelled = false
-		provider.resolveAssetUrl?.(repoPath).then((u) => {
+		resolveArtifactUrl(provider, path, intentSlug, intentBranch).then((u) => {
 			if (!cancelled) setUrl(u)
 		})
 		return () => {
 			cancelled = true
 		}
-	}, [repoPath, provider])
+	}, [path, intentSlug, provider, intentBranch])
 	return (
 		<>
 			<button
@@ -1275,14 +1363,16 @@ function OutputImageCard({
  *  relative assets resolved; click to view fullscreen. */
 function OutputHtmlCard({
 	path,
-	repoPath,
+	intentSlug,
 	baseDir,
 	provider,
+	intentBranch,
 }: {
 	path: string
-	repoPath: string
+	intentSlug: string
 	baseDir: string
 	provider: BrowseProvider
+	intentBranch?: string
 }) {
 	const [html, setHtml] = useState<string | null>(null)
 	const [full, setFull] = useState(false)
@@ -1294,7 +1384,12 @@ function OutputHtmlCard({
 		// the host flags an HTML file as binary/large, leaving the frame
 		// blank. Fall back to readFile only if the raw path is unavailable.
 		const load = async (): Promise<string | null> => {
-			const url = await provider.resolveAssetUrl?.(repoPath)
+			const url = await resolveArtifactUrl(
+				provider,
+				path,
+				intentSlug,
+				intentBranch,
+			)
 			if (url) {
 				try {
 					return await (await fetch(url)).text()
@@ -1302,7 +1397,7 @@ function OutputHtmlCard({
 					/* fall through to readFile */
 				}
 			}
-			return provider.readFile(repoPath)
+			return readArtifact(provider, path, intentSlug, intentBranch)
 		}
 		load().then((c) => {
 			if (!cancelled) setHtml(c)
@@ -1310,7 +1405,7 @@ function OutputHtmlCard({
 		return () => {
 			cancelled = true
 		}
-	}, [repoPath, provider])
+	}, [path, intentSlug, provider, intentBranch])
 	return (
 		<>
 			<button
@@ -1373,19 +1468,24 @@ function OutputHtmlCard({
 /** Text output — reads the source and opens it in the shared doc modal. */
 function OutputTextItem({
 	path,
-	repoPath,
+	intentSlug,
 	provider,
+	intentBranch,
 }: {
 	path: string
-	repoPath: string
+	intentSlug: string
 	provider: BrowseProvider
+	intentBranch?: string
 }) {
 	const [content, setContent] = useState<string | null>(null)
 	const [open, setOpen] = useState(false)
 	const isMarkdown = path.endsWith(".md")
 	const handleOpen = async () => {
 		if (content === null) {
-			setContent((await provider.readFile(repoPath)) || "(empty)")
+			setContent(
+				(await readArtifact(provider, path, intentSlug, intentBranch)) ||
+					"(empty)",
+			)
 		}
 		setOpen(true)
 	}
@@ -1435,23 +1535,25 @@ function OutputTextItem({
 /** Binary / unrecognized output — resolve to a data URL for download. */
 function OutputDownloadItem({
 	path,
-	repoPath,
+	intentSlug,
 	provider,
+	intentBranch,
 }: {
 	path: string
-	repoPath: string
+	intentSlug: string
 	provider: BrowseProvider
+	intentBranch?: string
 }) {
 	const [url, setUrl] = useState<string | null>(null)
 	useEffect(() => {
 		let cancelled = false
-		provider.resolveAssetUrl?.(repoPath).then((u) => {
+		resolveArtifactUrl(provider, path, intentSlug, intentBranch).then((u) => {
 			if (!cancelled) setUrl(u)
 		})
 		return () => {
 			cancelled = true
 		}
-	}, [repoPath, provider])
+	}, [path, intentSlug, provider, intentBranch])
 	const inner = (
 		<>
 			<svg
diff --git a/website/app/browse/components/studio-defs.ts b/website/app/browse/components/studio-defs.ts
new file mode 100644
index 000000000..970586f55
--- /dev/null
+++ b/website/app/browse/components/studio-defs.ts
@@ -0,0 +1,154 @@
+// Lazy client loader for bundled studio definitions, used by the sign-off modal
+// to show what each review/approval role actually does:
+//   - studio review / intent-review agents -> their `*.md` mandate body
+//   - engine roles (spec / continuity / cross-stage-consistency) -> the engine
+//     prompt body for the phase walk (review / approve / intent)
+//   - user -> a description of the human gate
+//   - quality_gates -> the unit/intent's gate command list
+// All read from the static /prototype-stage-content.json (the same asset the
+// architecture map reads), cached module-level. Static-export friendly.
+
+interface AgentDef {
+	body?: string
+	content?: string
+	path?: string
+}
+interface StageContent {
+	reviewAgents?: Record<string, AgentDef>
+}
+interface StudioContent {
+	stages?: Record<string, StageContent>
+	intentReviewAgents?: Record<string, AgentDef>
+}
+interface StageContentRoot {
+	studios?: Record<string, StudioContent>
+	engineReviewBodies?: Record<string, Record<string, AgentDef>>
+	globalIntentReviewAgents?: Record<string, AgentDef>
+}
+
+let cache: Promise<StageContentRoot | null> | null = null
+
+function loadStageContent(): Promise<StageContentRoot | null> {
+	if (!cache) {
+		cache = fetch("/prototype-stage-content.json")
+			.then((r) => (r.ok ? (r.json() as Promise<StageContentRoot>) : null))
+			.catch(() => null)
+	}
+	return cache
+}
+
+export interface RoleDefBody {
+	body: string
+	path: string | null
+}
+
+export type SignOffScope = "review" | "approve" | "intent"
+
+export interface QualityGate {
+	name?: string
+	command: string
+	dir?: string
+}
+
+const ENGINE_BODY_ROLES = new Set([
+	"spec",
+	"continuity",
+	"cross-stage-consistency",
+])
+
+function bodyOf(def?: AgentDef): RoleDefBody | null {
+	const body = def?.body ?? def?.content
+	return body ? { body, path: def?.path ?? null } : null
+}
+
+/** Resolve a studio agent's mandate body for (studio, stage, role): a stage
+ *  review agent (named stage first, then any stage for a borrowed agent), then
+ *  a studio intent-review agent, then a global intent-review agent. */
+export async function loadReviewAgentDef(
+	studio: string,
+	stage: string,
+	role: string,
+): Promise<RoleDefBody | null> {
+	const content = await loadStageContent()
+	const sc = content?.studios?.[studio]
+	const stages = sc?.stages
+	if (stages) {
+		const direct = bodyOf(stages[stage]?.reviewAgents?.[role])
+		if (direct) return direct
+		for (const s of Object.values(stages)) {
+			const hit = bodyOf(s?.reviewAgents?.[role])
+			if (hit) return hit
+		}
+	}
+	return (
+		bodyOf(sc?.intentReviewAgents?.[role]) ??
+		bodyOf(content?.globalIntentReviewAgents?.[role])
+	)
+}
+
+/** The engine prompt body for an engine role at a given phase walk. */
+async function loadEngineBody(
+	scope: SignOffScope,
+	role: string,
+): Promise<RoleDefBody | null> {
+	const content = await loadStageContent()
+	return bodyOf(content?.engineReviewBodies?.[scope]?.[role])
+}
+
+const USER_GATE_BODY = `**Mandate:** The \`user\` gate is the one checkpoint where a human — not an agent — signs off.
+
+The engine pauses here and waits for a person to approve the work. It is the human-in-the-loop control point: a reviewer reads what was produced, then approves (advance) or requests changes (which open feedback the fix loop addresses).
+
+Autopilot intents drop this gate — they run without a human approval step — so it won't appear on an autopilot unit.`
+
+function formatQualityGates(gates?: QualityGate[]): RoleDefBody | null {
+	const list = (gates ?? []).filter(
+		(g) => g && typeof g.command === "string" && g.command.trim().length > 0,
+	)
+	if (list.length === 0) return null
+	const blocks = list
+		.map((g) => {
+			const head = `### ${g.name?.trim() || "gate"}`
+			const dir = g.dir ? `Runs in \`${g.dir}\`\n\n` : ""
+			return `${head}\n\n${dir}\`\`\`sh\n${g.command.trim()}\n\`\`\``
+		})
+		.join("\n\n")
+	const body = `**Quality gates** — executable checks run at advance time; a non-zero exit blocks the gate.\n\n${blocks}`
+	return { body, path: null }
+}
+
+/** Resolve the modal body for any sign-off role:
+ *  user -> gate description; quality_gates -> command list; engine roles ->
+ *  the phase-appropriate engine prompt; everything else -> the studio agent's
+ *  mandate. Returns null when there's nothing to show (e.g. a quality-gate role
+ *  with no declared commands). */
+export async function loadRoleDef(args: {
+	role: string
+	studio: string
+	stage: string
+	scope: SignOffScope
+	qualityGates?: QualityGate[]
+}): Promise<RoleDefBody | null> {
+	const { role, studio, stage, scope, qualityGates } = args
+	if (role === "user") return { body: USER_GATE_BODY, path: null }
+	if (role === "quality_gates" || role === "intent_quality_gates") {
+		return formatQualityGates(qualityGates)
+	}
+	if (ENGINE_BODY_ROLES.has(role)) return loadEngineBody(scope, role)
+	return loadReviewAgentDef(studio, stage, role)
+}
+
+/** Whether a role has something to show in the modal — drives whether its
+ *  sign-off label renders as a button. Quality-gate roles only open when there
+ *  are commands to show. */
+export function roleOpensModal(
+	role: string,
+	studio: string,
+	qualityGates?: QualityGate[],
+): boolean {
+	if (role === "quality_gates" || role === "intent_quality_gates") {
+		return (qualityGates?.length ?? 0) > 0
+	}
+	if (role === "user" || ENGINE_BODY_ROLES.has(role)) return true
+	return Boolean(studio)
+}
diff --git a/website/app/studios/[slug]/architecture/_components/ArchitectureMap.tsx b/website/app/studios/[slug]/architecture/_components/ArchitectureMap.tsx
index ac4b83b4b..51a941c40 100644
--- a/website/app/studios/[slug]/architecture/_components/ArchitectureMap.tsx
+++ b/website/app/studios/[slug]/architecture/_components/ArchitectureMap.tsx
@@ -1673,13 +1673,29 @@ export function ArchitectureMap({ initialStudioDir }: ArchitectureMapProps) {
 							</div>
 						</div>
 						<div className="step-arrow">→</div>
+						<div className="post-step">
+							<div className="step-title">⏳ pending_seal (held)</div>
+							<div className="step-desc">
+								every approval signed + reflection done, but{" "}
+								<code>haiku/{"{slug}"}/main</code> hasn't landed on the repo's
+								default branch yet → cursor emits <code>pending_seal</code> and
+								HOLDS (no <code>sealed_at</code>). The engine never merges
+								(honors "never merge unless asked"). On{" "}
+								<code>/haiku:haiku-pickup</code> the{" "}
+								<code>delivery-verifier</code> re-audits the open change request
+								and files feedback for new review comments. Inapplicable in
+								filesystem mode / when already merged → skips straight to seal.
+							</div>
+						</div>
+						<div className="step-arrow">→</div>
 						<div className="post-step">
 							<div className="step-title">✅ seal_intent → sealed</div>
 							<div className="step-desc">
-								every intent-scope approval signed → cursor emits{" "}
-								<code>seal_intent</code>; engine performs final rebase under{" "}
-								<code>withIntentMainLock</code>, stamps <code>sealed_at</code>;
-								next tick emits <code>sealed</code>.
+								once <code>haiku/{"{slug}"}/main</code> is an ancestor of the
+								default branch (merged locally or via a merged PR/MR) the cursor
+								emits <code>seal_intent</code>; engine performs final rebase
+								under <code>withIntentMainLock</code>, stamps{" "}
+								<code>sealed_at</code>; next tick emits <code>sealed</code>.
 							</div>
 						</div>
 					</div>
diff --git a/website/app/studios/[slug]/architecture/_data/actors.ts b/website/app/studios/[slug]/architecture/_data/actors.ts
index 29b097ea3..ce28af245 100644
--- a/website/app/studios/[slug]/architecture/_data/actors.ts
+++ b/website/app/studios/[slug]/architecture/_data/actors.ts
@@ -81,7 +81,7 @@ export const ACTORS: Record<string, ActorDef> = {
 			"v0→v4 migrator, run once on first tick of any pre-v4 intent",
 		],
 		notes:
-			"**The cursor model — v4's reconciliation point.** `derivePosition(slug)` reads disk and walks three tracks in priority order:\n\n1. **Track C — drift sweep.** Re-hashes each unit's body / declared outputs and compares against the FM witness (`reviews.<role>.body_sha256`, `approvals.<role>.witnesses[]`). Discovery is NOT a witnessed surface — its signal is artifact existence at the studio template's `location:`, so there's no stamp to drift against. Mismatch → `drift_detected { events }`. Dedup'd against open drift FBs by `source_ref` so a fired FB suppresses re-emission until it closes. Pre-v4 baseline artifacts (`baseline.json`, `drift-markers.json`, `baseline-content/`) are deleted by the v0→v4 migrator.\n\n2. **Track B — feedback.** Walks every stage from index 0 through the active stage, then intent-scope. Open FB → `start_feedback_hat` (next fix-hat dispatch) or `close_feedback` (terminal advance landed). Cross-stage routing is purely by file location: an FB in `stages/<earlier>/feedback/` rewinds the cursor to that stage's fix loop on the next tick. There is no `upstream_stage:` field and no pre-tick triage gate — classification is the first hat in the stage's `fix_hats:` chain (calls `haiku_feedback_set_targets`).\n\n3. **Track A — intent.** Pre-stage walk fires `elaborate_loop` (no `stage` field, `signals_unmet: [{signal: \"verify_conversation\"}]`) when `intent.md` lacks `verified_at` on a fresh non-autopilot intent (grandfathered when stage work has already shipped). On the active stage (first stage whose branch is not merged into intent main), the cursor walks the per-stage state machine in lifecycle order: `elaborate_loop` (single state carrying every unmet completion signal — `conversation` / `verify_conversation` / `discovery` / `decompose` / `verify_decompose`) → **`dispatch_review` / `user_gate { gate_kind: \"spec\" }` (PRE-execute — audits the SPEC before any code lands)** → `start_unit_hat` (wave logic; while `decompose_verified_at` is absent the loop keeps emitting `verify_decompose` and blocks wave dispatch) → `dispatch_quality_gates` → **`dispatch_approval` / `user_gate { gate_kind: \"approval\" }` (POST-execute — audits the WORK against the already-approved spec)** → `complete_stage`. The pre/post split landed 2026-05-17: `dispatch_review` moved from post-execute to pre-execute; `dispatch_approval` stayed post-execute; engine-built roles fire in BOTH walks with phase-appropriate mandate bodies.\n\n**Elaborate loop — single state, multi-signal payload (GAPS § 1a → Option A, 2026-05-14).** The cursor emits ONE `elaborate_loop` action per tick whose `signals_unmet[]` enumerates every currently-unmet completion signal. The agent may make progress on any subset in the same response — the loop is concurrent at the action shape, not just at the prompt level. The cursor recomputes on the next tick and either returns the still-unmet subset or falls through past the loop. Signals: `conversation` (elaboration.md missing on a fresh stage) / `verify_conversation` (recorded but unverified — carries the verifier nonce at `verifier_nonces.verify_conversation`) / `discovery` (one entry per missing discovery template, carries `agent` + representative `units`) / `decompose` (units.length === 0) / `verify_decompose` (units exist + `decompose_verified_at` missing — carries `verifier_nonces.verify_decompose`). Discovery subagents file `origin: discovery, resolution: question` FBs when surfacing user-decisions; the next tick routes these as `feedback_question` via Track B before the loop continues.\n\n**Verifier nonces (GAPS § 3, 2026-05-14).** The seal tools (`haiku_intent_seal`, `haiku_stage_elaboration_seal`, `haiku_stage_decompose_seal`) require the per-signal `nonce` from `verifier_nonces.<signal>`. Nonces are minted by the cursor's wire layer when the matching signal is emitted, persisted at `.haiku/intents/<slug>/.verifier-nonces.json`, and consumed (deleted) on a successful seal. A confused or main-agent caller that invokes a seal tool without the dispatched verifier's nonce gets `verifier_nonce_invalid` back. Re-recording the elaboration artifact clears the stage-scoped nonces so a stale verifier dispatched against the old body can't seal the new one.\n\nAfter every stage merges, the cursor walks intent-scope approvals (`spec`, `continuity`, `cross-stage-consistency`, studio intent-completion review agents from `intent-review-agents/`, `user`) and emits `intent_review` per missing role, then `seal_intent`, then `sealed`.\n\n**Pre-cursor selection gates** — `run-tick.ts` (between migrator and `derivePosition`) emits `select_studio` / `select_mode` / `select_stage` when `intent.studio` / `intent.mode` is unset, or when mode is `quick` and `intent.stages[]` is empty. `haiku_run_next` blocks on the picker UI inline; the agent never sees a \"call haiku_select_*\" instruction.\n\n**Pre-cursor worktree gates (git-layer; the cursor reads none of it, Rule 1).** Also in `run-tick.ts` before `derivePosition`: `resetLostUnits` clears a unit's iterations when its isolation worktree AND branch are gone everywhere (cross-machine pickup with no recoverable ref — gated on `hasGitRemote()`), so the cursor re-dispatches the first hat into a fresh worktree. `completePendingFixChainMerges` re-attempts a fix-chain's terminal merge (via `mergeFixChainWorktree`'s `MERGE_HEAD` re-entry) for advance-closed chains whose worktree survived a conflict, completing it before a stage can advance over stranded code — or returning `integrate_fix_chains` while conflicts remain. Both no-op in filesystem mode and for the common in-flight / clean-merge paths.\n\n**No state.json.** v4 derives stage position from FM. The cursor is straight TypeScript, deterministic given the same disk state, with no LLM in the workflow-position decision. The agent does not hold workflow state in their context — anything they think they remember about waves or hats is incidental; the next tick tells them what's actually next.\n\n**Engine-built review roles (fire in BOTH walks, 2026-05-17):** `spec` (cross-unit acceptance criteria coverage, scope creep, cross-unit drift), `continuity` (handoff fidelity between hats / waves / stages), `cross-stage-consistency` (alignment with what earlier stages produced). No per-studio mandate file for any of these — `dispatch_review` renders pre-execute prose from `prompts/stage/review/dispatch_review/engine-bodies/<role>.eta.md`, and `dispatch_approval` renders post-execute prose from `prompts/stage/approve/dispatch_approval/engine-bodies/<role>.eta.md`.\n\n**Studio review-agent / hat / fix-hat cascade (three-tier, 2026-05-17):** the resolver walks `project/.haiku/studios/<studio>/stages/<stage>/review-agents/<role>.md` → `plugin/studios/<studio>/stages/<stage>/review-agents/<role>.md` → `plugin/studios/<studio>/review-agents/<role>.md` → `plugin/review-agents/<role>.md`. First hit wins. Same cascade for `hats/` and `fix-hats/`. Studio-level intent-completion review agents now live at `plugin/studios/<studio>/intent-review-agents/` (renamed from `review-agents/` to free the studio tier for stage-scope agents).\n\n**Mode shaping (read from `intent.mode`):**\n• `continuous` — full role lists `[spec, continuity, cross-stage-consistency, <agents>, user]` (reviews) and `[spec, continuity, cross-stage-consistency, quality_gates, <agents>, user]` (approvals). Runtime-observation roles (`RUNTIME_OBSERVATION_ROLES` in `orchestrator/review-role-classes.ts` — currently `runtime-verifier`) are EXCLUDED from the PRE-execute reviews list (`stageRoleLists` filters them — there's no built work to drive before execution); they fire only in approvals + intent-completion.\n• `discrete` — same role lists; the `user` gate dispatches via PR/MR open and waits for merge into intent main as the approval signal.\n• `discrete-hybrid` — discrete up to a chosen pivot stage, then continuous; per-stage gate type drives the dispatch choice.\n• `autopilot` — trimmed: reviews `[spec, continuity, cross-stage-consistency]`, approvals `[spec, continuity, cross-stage-consistency, quality_gates]`, no user gate, no studio agents, `complete_stage` auto-fires once the post-execute walk completes.\n• `quick` — single-stage intent (`intent.stages[]` length 1 after `select_stage`).\n\n**Stage→main merge serialization.** Every `complete_stage` runs under `withIntentMainLock` so concurrent stages can't race the merge into intent main. Stages are NEVER sealed — only intents are; a previously-merged stage that gains a new unit (via fix-loop corrective work) becomes ahead-of-main and `firstUnmergedStage` rewinds the cursor to it automatically.\n\n**MCP tool surface** lives in `packages/haiku/src/orchestrator.ts`, `state-tools.ts`, and `server.ts` — including `haiku_run_next` (the tick + blocking shell for every interactive UI), the unit/feedback CRUDL family with TypeBox + AJV input gates, `haiku_intent_*`, `haiku_select_*` (resume entry points; canonical path is engine-side blocking via run_next), `haiku_await_gate`, `haiku_record_agent_write`, `haiku_review_stamp` (stage review/approval subagent closure — stamps `reviews.<role>`/`approvals.<role>` without a cursor walk, so parallel review siblings don't trip the loop guard), `haiku_feedback_advance_hat` / `_reject_hat` / `_set_targets` / `_set_severity` / `_move`, `haiku_unit_advance_hat` / `_reject_hat`, `haiku_settings_get/set`, `haiku_studio_*`, `haiku_capacity`, `haiku_repair`. Numeric `feedback_id` at the wire (display label `FB-001`); the parser accepts both 2-digit and 3-digit filename forms.\n\n**Runtime-verifier surface (2026-05-18).** Bundled `@playwright/mcp@latest --headless` ships in `plugin/.mcp.json` alongside two new state tools: `haiku_view` opens a view session and returns a URL the agent hands to Playwright (boot mode auto-detects the project's `npm run dev` / `bun run dev` / equivalent and spawns it on an ephemeral port; viewer mode tunnels to the SPA's `/view/<sessionId>?artifact=<path>&stage=<stage>` artifact-browser route with mime dispatch covering markdown / image / PDF / SVG / source highlight / HTML and specialized web-component viewers for KiCanvas (`.kicad_sch` / `.kicad_pcb`), Tracespace (`.gbr` / `.drl`), `<model-viewer>` (`.glb` / `.gltf`), and tscircuit (circuit `.tsx`)). `haiku_view_close` shuts the session + kills any spawned dev server. Lifecycle is layered: explicit close → 30min TTL → tick-scoped orphan sweep via `killAllOrphanedBootSessions` in `run-tick.ts` → process-exit SIGTERM. Runtime-verifier review-agents (`runtime-verifier.md` mandates at stage-tier `review-agents/` and studio-tier `intent-review-agents/`) call `haiku_view`, drive the URL through the Playwright MCP, screenshot every step, and save proof PNGs to `.haiku/intents/<intent>/[stages/<stage>/]proof/*.png` so humans can audit the chain after the fact. `ViewSession` lives in `sessions.ts`; the file-serve route accepts view sessions through the same `/stage-artifacts/:sessionId/*` path-safety chain reviews use.\n\n**Reflection surface (2026-05-19).** Engine prompt bodies live at `plugin/prompts/<rel>/<name>` (single source of truth, shipped with the plugin) with a two-tier cascade — project override at `.haiku/prompts/<rel>` beats plugin default at `<pluginPromptsRoot>/<rel>`. `loadTemplate` is mtime-cached; the build-time `canonicalize-prompt-templates` esbuild plugin rewrites every `loadTemplate(import.meta.url, …)` call site in the TS builders under `packages/haiku/src/orchestrator/prompts/` to a `\"@canon:<rel>\"` sentinel form, no copy step needed since `plugin/prompts/` ships directly. On top of that, two cursor actions fire per intent when reflection is enabled (default-on; opt-out via `reflection: false` on intent.md FM, with `autotune: false` honored for backward compatibility): `record_observations` fires once per stage right before `complete_stage` so the agent writes a free-form `stages/<stage>/observations.md` capturing the out-of-band churn that FBs / outputs / iterations don't already show. `record_reflection` fires once at intent close right before `seal_intent` so the agent reads every observations.md + the full FB stream + unit iterations/outputs and (a) writes a synthesized `reflection.md` at intent root, (b) lands override-class findings as project overlays directly under `.haiku/...` (cascade picks them up next tick, no rebuild needed), (c) reports engine-class findings via the existing `haiku_report` tool with the message prefixed `[autotune engine-class]` (existing Sentry pipeline scrubs the payload). All edits commit with an `autotune:` prefixed message so PR review surfaces provenance — no FB queue, no tune dashboard, no per-file frontmatter stamps.",
+			"**The cursor model — v4's reconciliation point.** `derivePosition(slug)` reads disk and walks three tracks in priority order:\n\n1. **Track C — drift sweep.** Re-hashes each unit's body / declared outputs and compares against the FM witness (`reviews.<role>.body_sha256`, `approvals.<role>.witnesses[]`). Discovery is NOT a witnessed surface — its signal is artifact existence at the studio template's `location:`, so there's no stamp to drift against. Mismatch → `drift_detected { events }`. Dedup'd against open drift FBs by `source_ref` so a fired FB suppresses re-emission until it closes. Pre-v4 baseline artifacts (`baseline.json`, `drift-markers.json`, `baseline-content/`) are deleted by the v0→v4 migrator.\n\n2. **Track B — feedback.** Walks every stage from index 0 through the active stage, then intent-scope. Open FB → `start_feedback_hat` (next fix-hat dispatch) or `close_feedback` (terminal advance landed). Cross-stage routing is purely by file location: an FB in `stages/<earlier>/feedback/` rewinds the cursor to that stage's fix loop on the next tick. There is no `upstream_stage:` field and no pre-tick triage gate — classification is the first hat in the stage's `fix_hats:` chain (calls `haiku_feedback_set_targets`).\n\n3. **Track A — intent.** Pre-stage walk fires `elaborate_loop` (no `stage` field, `signals_unmet: [{signal: \"verify_conversation\"}]`) when `intent.md` lacks `verified_at` on a fresh non-autopilot intent (grandfathered when stage work has already shipped). On the active stage (first stage whose branch is not merged into intent main), the cursor walks the per-stage state machine in lifecycle order: `elaborate_loop` (single state carrying every unmet completion signal — `conversation` / `verify_conversation` / `discovery` / `decompose` / `verify_decompose`) → **`dispatch_review` / `user_gate { gate_kind: \"spec\" }` (PRE-execute — audits the SPEC before any code lands)** → `start_unit_hat` (wave logic; while `decompose_verified_at` is absent the loop keeps emitting `verify_decompose` and blocks wave dispatch) → `dispatch_quality_gates` → **`dispatch_approval` / `user_gate { gate_kind: \"approval\" }` (POST-execute — audits the WORK against the already-approved spec)** → `complete_stage`. The pre/post split landed 2026-05-17: `dispatch_review` moved from post-execute to pre-execute; `dispatch_approval` stayed post-execute; engine-built roles fire in BOTH walks with phase-appropriate mandate bodies.\n\n**Elaborate loop — single state, multi-signal payload (GAPS § 1a → Option A, 2026-05-14).** The cursor emits ONE `elaborate_loop` action per tick whose `signals_unmet[]` enumerates every currently-unmet completion signal. The agent may make progress on any subset in the same response — the loop is concurrent at the action shape, not just at the prompt level. The cursor recomputes on the next tick and either returns the still-unmet subset or falls through past the loop. Signals: `conversation` (elaboration.md missing on a fresh stage) / `verify_conversation` (recorded but unverified — carries the verifier nonce at `verifier_nonces.verify_conversation`) / `discovery` (one entry per missing discovery template, carries `agent` + representative `units`) / `decompose` (units.length === 0) / `verify_decompose` (units exist + `decompose_verified_at` missing — carries `verifier_nonces.verify_decompose`). Discovery subagents file `origin: discovery, resolution: question` FBs when surfacing user-decisions; the next tick routes these as `feedback_question` via Track B before the loop continues.\n\n**Verifier nonces (GAPS § 3, 2026-05-14).** The seal tools (`haiku_intent_seal`, `haiku_stage_elaboration_seal`, `haiku_stage_decompose_seal`) require the per-signal `nonce` from `verifier_nonces.<signal>`. Nonces are minted by the cursor's wire layer when the matching signal is emitted, persisted at `.haiku/intents/<slug>/.verifier-nonces.json`, and consumed (deleted) on a successful seal. A confused or main-agent caller that invokes a seal tool without the dispatched verifier's nonce gets `verifier_nonce_invalid` back. Re-recording the elaboration artifact clears the stage-scoped nonces so a stale verifier dispatched against the old body can't seal the new one.\n\nAfter every stage merges, the cursor walks intent-scope approvals (`spec`, `continuity`, `cross-stage-consistency`, studio intent-completion review agents from `intent-review-agents/`, `user`) and emits `intent_review` per missing role. Once every approval is signed and reflection is done, the cursor checks delivery (`intent-delivery.ts`): if `haiku/<slug>/main` has NOT landed on the repo's default branch it emits `pending_seal` and HOLDS — `sealed_at` stays unwritten and the engine never merges (honors \"never merge unless asked\"). On `/haiku:haiku-pickup` the delivery PR-interaction approval (`delivery-verifier`) is re-opened so it re-audits the open change request and files feedback for new review comments. Once the hub branch is an ancestor of the default branch (merged locally or via a merged PR/MR) the cursor emits `seal_intent`, then `sealed`. Filesystem mode / no resolvable default branch → the gate is inapplicable and it seals straight away.\n\n**Pre-cursor selection gates** — `run-tick.ts` (between migrator and `derivePosition`) emits `select_studio` / `select_mode` / `select_stage` when `intent.studio` / `intent.mode` is unset, or when mode is `quick` and `intent.stages[]` is empty. `haiku_run_next` blocks on the picker UI inline; the agent never sees a \"call haiku_select_*\" instruction.\n\n**Pre-cursor worktree gates (git-layer; the cursor reads none of it, Rule 1).** Also in `run-tick.ts` before `derivePosition`: `resetLostUnits` clears a unit's iterations when its isolation worktree AND branch are gone everywhere (cross-machine pickup with no recoverable ref — gated on `hasGitRemote()`), so the cursor re-dispatches the first hat into a fresh worktree. `completePendingFixChainMerges` re-attempts a fix-chain's terminal merge (via `mergeFixChainWorktree`'s `MERGE_HEAD` re-entry) for advance-closed chains whose worktree survived a conflict, completing it before a stage can advance over stranded code — or returning `integrate_fix_chains` while conflicts remain. Both no-op in filesystem mode and for the common in-flight / clean-merge paths.\n\n**No state.json.** v4 derives stage position from FM. The cursor is straight TypeScript, deterministic given the same disk state, with no LLM in the workflow-position decision. The agent does not hold workflow state in their context — anything they think they remember about waves or hats is incidental; the next tick tells them what's actually next.\n\n**Engine-built review roles (fire in BOTH walks, 2026-05-17):** `spec` (cross-unit acceptance criteria coverage, scope creep, cross-unit drift), `continuity` (handoff fidelity between hats / waves / stages), `cross-stage-consistency` (alignment with what earlier stages produced). No per-studio mandate file for any of these — `dispatch_review` renders pre-execute prose from `prompts/stage/review/dispatch_review/engine-bodies/<role>.eta.md`, and `dispatch_approval` renders post-execute prose from `prompts/stage/approve/dispatch_approval/engine-bodies/<role>.eta.md`.\n\n**Studio review-agent / hat / fix-hat cascade (three-tier, 2026-05-17):** the resolver walks `project/.haiku/studios/<studio>/stages/<stage>/review-agents/<role>.md` → `plugin/studios/<studio>/stages/<stage>/review-agents/<role>.md` → `plugin/studios/<studio>/review-agents/<role>.md` → `plugin/review-agents/<role>.md`. First hit wins. Same cascade for `hats/` and `fix-hats/`. Studio-level intent-completion review agents now live at `plugin/studios/<studio>/intent-review-agents/` (renamed from `review-agents/` to free the studio tier for stage-scope agents).\n\n**Mode shaping (read from `intent.mode`):**\n• `continuous` — full role lists `[spec, continuity, cross-stage-consistency, <agents>, user]` (reviews) and `[spec, continuity, cross-stage-consistency, quality_gates, <agents>, user]` (approvals). Runtime-observation roles (`RUNTIME_OBSERVATION_ROLES` in `orchestrator/review-role-classes.ts` — currently `runtime-verifier`) are EXCLUDED from the PRE-execute reviews list (`stageRoleLists` filters them — there's no built work to drive before execution); they fire only in approvals + intent-completion.\n• `discrete` — same role lists; the `user` gate dispatches via PR/MR open and waits for merge into intent main as the approval signal.\n• `discrete-hybrid` — discrete up to a chosen pivot stage, then continuous; per-stage gate type drives the dispatch choice.\n• `autopilot` — trimmed: reviews `[spec, continuity, cross-stage-consistency]`, approvals `[spec, continuity, cross-stage-consistency, quality_gates]`, no user gate, no studio agents, `complete_stage` auto-fires once the post-execute walk completes.\n• `quick` — single-stage intent (`intent.stages[]` length 1 after `select_stage`).\n\n**Stage→main merge serialization.** Every `complete_stage` runs under `withIntentMainLock` so concurrent stages can't race the merge into intent main. Stages are NEVER sealed — only intents are; a previously-merged stage that gains a new unit (via fix-loop corrective work) becomes ahead-of-main and `firstUnmergedStage` rewinds the cursor to it automatically.\n\n**MCP tool surface** lives in `packages/haiku/src/orchestrator.ts`, `state-tools.ts`, and `server.ts` — including `haiku_run_next` (the tick + blocking shell for every interactive UI), the unit/feedback CRUDL family with TypeBox + AJV input gates, `haiku_intent_*`, `haiku_select_*` (resume entry points; canonical path is engine-side blocking via run_next), `haiku_await_gate`, `haiku_record_agent_write`, `haiku_review_stamp` (stage review/approval subagent closure — stamps `reviews.<role>`/`approvals.<role>` without a cursor walk, so parallel review siblings don't trip the loop guard), `haiku_feedback_advance_hat` / `_reject_hat` / `_set_targets` / `_set_severity` / `_move`, `haiku_unit_advance_hat` / `_reject_hat`, `haiku_settings_get/set`, `haiku_studio_*`, `haiku_capacity`, `haiku_repair`. Numeric `feedback_id` at the wire (display label `FB-001`); the parser accepts both 2-digit and 3-digit filename forms.\n\n**Runtime-verifier surface (2026-05-18).** Bundled `@playwright/mcp@latest --headless` ships in `plugin/.mcp.json` alongside two new state tools: `haiku_view` opens a view session and returns a URL the agent hands to Playwright (boot mode auto-detects the project's `npm run dev` / `bun run dev` / equivalent and spawns it on an ephemeral port; viewer mode tunnels to the SPA's `/view/<sessionId>?artifact=<path>&stage=<stage>` artifact-browser route with mime dispatch covering markdown / image / PDF / SVG / source highlight / HTML and specialized web-component viewers for KiCanvas (`.kicad_sch` / `.kicad_pcb`), Tracespace (`.gbr` / `.drl`), `<model-viewer>` (`.glb` / `.gltf`), and tscircuit (circuit `.tsx`)). `haiku_view_close` shuts the session + kills any spawned dev server. Lifecycle is layered: explicit close → 30min TTL → tick-scoped orphan sweep via `killAllOrphanedBootSessions` in `run-tick.ts` → process-exit SIGTERM. Runtime-verifier review-agents (`runtime-verifier.md` mandates at stage-tier `review-agents/` and studio-tier `intent-review-agents/`) call `haiku_view`, drive the URL through the Playwright MCP, screenshot every step, and save proof PNGs to `.haiku/intents/<intent>/[stages/<stage>/]proof/*.png` so humans can audit the chain after the fact. `ViewSession` lives in `sessions.ts`; the file-serve route accepts view sessions through the same `/stage-artifacts/:sessionId/*` path-safety chain reviews use.\n\n**Reflection surface (2026-05-19).** Engine prompt bodies live at `plugin/prompts/<rel>/<name>` (single source of truth, shipped with the plugin) with a two-tier cascade — project override at `.haiku/prompts/<rel>` beats plugin default at `<pluginPromptsRoot>/<rel>`. `loadTemplate` is mtime-cached; the build-time `canonicalize-prompt-templates` esbuild plugin rewrites every `loadTemplate(import.meta.url, …)` call site in the TS builders under `packages/haiku/src/orchestrator/prompts/` to a `\"@canon:<rel>\"` sentinel form, no copy step needed since `plugin/prompts/` ships directly. On top of that, two cursor actions fire per intent when reflection is enabled (default-on; opt-out via `reflection: false` on intent.md FM, with `autotune: false` honored for backward compatibility): `record_observations` fires once per stage right before `complete_stage` so the agent writes a free-form `stages/<stage>/observations.md` capturing the out-of-band churn that FBs / outputs / iterations don't already show. `record_reflection` fires once at intent close right before `seal_intent` so the agent reads every observations.md + the full FB stream + unit iterations/outputs and (a) writes a synthesized `reflection.md` at intent root, (b) lands override-class findings as project overlays directly under `.haiku/...` (cascade picks them up next tick, no rebuild needed), (c) reports engine-class findings via the existing `haiku_report` tool with the message prefixed `[autotune engine-class]` (existing Sentry pipeline scrubs the payload). All edits commit with an `autotune:` prefixed message so PR review surfaces provenance — no FB queue, no tune dashboard, no per-file frontmatter stamps.",
 	},
 	webui: {
 		icon: "🌐",
diff --git a/website/app/studios/[slug]/architecture/_data/payload-for.ts b/website/app/studios/[slug]/architecture/_data/payload-for.ts
index 83d0b70be..96f4c213f 100644
--- a/website/app/studios/[slug]/architecture/_data/payload-for.ts
+++ b/website/app/studios/[slug]/architecture/_data/payload-for.ts
@@ -577,7 +577,7 @@ export function payloadFor(
 					hook: "MCP tool result",
 					target: "agent's `tool_use_result`",
 					what: opts.isLast
-						? "every stage merged → cursor walks intent-scope approvals (`spec`, `continuity`, `cross-stage-consistency`, then each studio `intent-review-agents/` role — software: `runtime-verifier`, `delivery-verifier` — then `user`) and emits `intent_review { role }` per missing role, then `seal_intent`, then `sealed`."
+						? "every stage merged → cursor walks intent-scope approvals (`spec`, `continuity`, `cross-stage-consistency`, then each studio `intent-review-agents/` role — software: `runtime-verifier`, `delivery-verifier` — then `user`) and emits `intent_review { role }` per missing role. All signed → if `haiku/{slug}/main` hasn't landed on the default branch, `pending_seal` HOLDS (engine never merges); once merged, `seal_intent` → `sealed`."
 						: "stage merged into intent main; cursor's next tick walks the next stage (the new `firstUnmergedStage`).",
 				},
 				{
@@ -588,7 +588,7 @@ export function payloadFor(
 			],
 			action: opts.isLast ? "seal_intent" : "complete_stage",
 			summary: opts.isLast
-				? "final stage merged → walk intent-scope approvals → seal_intent → sealed"
+				? "final stage merged → walk intent-scope approvals → pending_seal (held until merged to default) → seal_intent → sealed"
 				: `merge stage \`${stageLower}\` into intent main → next stage (${opts.nextStageName ?? "?"})`,
 			payload: opts.isLast
 				? {
diff --git a/website/lib/browse/github-provider.ts b/website/lib/browse/github-provider.ts
index 08a49f68b..f86524f7b 100644
--- a/website/lib/browse/github-provider.ts
+++ b/website/lib/browse/github-provider.ts
@@ -15,11 +15,11 @@ import {
 	deriveActiveStageFromStageTree,
 	deriveStageStateFromUnits,
 	deriveV4ActiveStage,
-	normalizeStageProgression,
 	isCollectibleIntentAsset,
 	isCollectibleStageFile,
 	isV4Intent,
 	mergeKnowledge as mergeKnowledgeShared,
+	normalizeStageProgression,
 	parseElaborationVerified,
 	parseFeedback,
 	parseIntentApprovals,
@@ -42,6 +42,9 @@ import { normalizeIntentStatus, parseFrontmatter, parseUnit } from "./types"
 
 const CACHE_TTL = 5 * 60 * 1000 // 5 minutes
 const apiCache = new Map<string, { data: unknown; ts: number }>()
+/** Per-request alias fan-out size for the lean list-view batch (mirrors the
+ *  GitLab provider's CHUNK_SIZE). */
+const CHUNK_SIZE = 10
 
 export class GitHubProvider implements BrowseProvider {
 	readonly name = "GitHub"
@@ -111,6 +114,83 @@ export class GitHubProvider implements BrowseProvider {
 		})
 	}
 
+	/** Raw GraphQL POST. Relay queries are static — they can't fan out across a
+	 *  variable number of branch refs in one request — so the lean list loader
+	 *  builds a per-branch-aliased query string and posts it here. */
+	private async rawGraphql<T>(
+		query: string,
+		variables?: Record<string, unknown>,
+	): Promise<T | undefined> {
+		try {
+			const res = await fetch("https://api.github.com/graphql", {
+				method: "POST",
+				headers: {
+					"Content-Type": "application/json",
+					...this.graphqlHeaders(),
+				},
+				body: JSON.stringify({ query, variables: variables ?? {} }),
+			})
+			if (!res.ok) return undefined
+			const json = (await res.json()) as { data?: T }
+			return json.data
+		} catch {
+			return undefined
+		}
+	}
+
+	/** LEAN per-main-branch batch for the LIST view. For each `haiku/<slug>/main`
+	 *  branch, reads ONLY its `intent.md` text + the immediate subdir names under
+	 *  `.haiku/intents/<slug>/stages/` (the stage-dir count) — as per-branch
+	 *  ALIASES in one raw GraphQL request (chunked). Replaces the per-main
+	 *  readFile + per-stage unit probe. (GitHub PR data is already inline in the
+	 *  branch-list query, so no extra PR fetch is needed.) */
+	private async batchMainBranchData(
+		mains: Array<{ slug: string; branch: string }>,
+	): Promise<Map<string, { rawText: string | null; stageDirs: string[] }>> {
+		const out = new Map<
+			string,
+			{ rawText: string | null; stageDirs: string[] }
+		>()
+		type RepoFields = Record<
+			string,
+			{
+				text?: string | null
+				entries?: Array<{ name?: string | null; type?: string | null }>
+			} | null
+		>
+		for (let i = 0; i < mains.length; i += CHUNK_SIZE) {
+			const chunk = mains.slice(i, i + CHUNK_SIZE)
+			const fields = chunk
+				.map((m, j) => {
+					const md = JSON.stringify(
+						`${m.branch}:.haiku/intents/${m.slug}/intent.md`,
+					)
+					const st = JSON.stringify(
+						`${m.branch}:.haiku/intents/${m.slug}/stages`,
+					)
+					return (
+						`a${j}_md: object(expression: ${md}) { ... on Blob { text } }\n` +
+						`a${j}_st: object(expression: ${st}) { ... on Tree { entries { name type } } }`
+					)
+				})
+				.join("\n")
+			const query = `query GHBatchMains($owner: String!, $name: String!) { repository(owner: $owner, name: $name) { ${fields} } }`
+			const data = await this.rawGraphql<{ repository?: RepoFields }>(query, {
+				owner: this.owner,
+				name: this.repo,
+			})
+			const repo = data?.repository
+			chunk.forEach((m, j) => {
+				const rawText = repo?.[`a${j}_md`]?.text ?? null
+				const stageDirs = (repo?.[`a${j}_st`]?.entries ?? [])
+					.filter((e) => e?.type === "tree" && typeof e?.name === "string")
+					.map((e) => e.name as string)
+				out.set(m.slug, { rawText, stageDirs })
+			})
+		}
+		return out
+	}
+
 	/** Build a git expression like "main:.haiku/intents" */
 	private expr(path: string): string {
 		const ref = this.branch || "HEAD"
@@ -123,10 +203,10 @@ export class GitHubProvider implements BrowseProvider {
 	 *  can't reach parent-origin blob URLs or attach an auth header. Mirrors
 	 *  the artifact rawUrl scheme used at session build
 	 *  (raw.githubusercontent.com/<owner>/<repo>/<ref>/<path>). */
-	async resolveAssetUrl(path: string): Promise<string | null> {
+	async resolveAssetUrl(path: string, ref?: string): Promise<string | null> {
 		try {
-			const ref = this.branch || "HEAD"
-			const url = `https://raw.githubusercontent.com/${this.owner}/${this.repo}/${encodeURIComponent(ref)}/${path}`
+			const refName = ref || this.branch || "HEAD"
+			const url = `https://raw.githubusercontent.com/${this.owner}/${this.repo}/${encodeURIComponent(refName)}/${path}`
 			const headers: Record<string, string> = {}
 			if (this.token) headers.Authorization = `Bearer ${this.token}`
 			const res = await fetch(url, { headers })
@@ -156,13 +236,14 @@ export class GitHubProvider implements BrowseProvider {
 		return result as T | undefined
 	}
 
-	async readFile(path: string): Promise<string | null> {
-		const cacheKey = `gh:${this.owner}/${this.repo}:readFile:${path}`
+	async readFile(path: string, ref?: string): Promise<string | null> {
+		const expression = ref ? `${ref}:${path}` : this.expr(path)
+		const cacheKey = `gh:${this.owner}/${this.repo}:readFile:${expression}`
 		const data = await this.cachedQuery<{
 			repository: { object: { text?: string | null } | null } | null
 		}>(
 			ReadFileQuery,
-			{ owner: this.owner, name: this.repo, expression: this.expr(path) },
+			{ owner: this.owner, name: this.repo, expression },
 			cacheKey,
 		)
 		return data?.repository?.object?.text ?? null
@@ -190,80 +271,6 @@ export class GitHubProvider implements BrowseProvider {
 			.sort()
 	}
 
-	/** Cheaply detect which declared stages have at least one unit file
-	 *  on disk. Returns a Set of stage names with non-empty `units/`
-	 *  dirs. Used by listIntents() to derive a v4 active-stage candidate
-	 *  without per-unit FM reads. One GraphQL call per intent (tree
-	 *  listing of `.haiku/intents/<slug>/stages` on the intent main
-	 *  branch). When the stages directory is missing entirely, returns
-	 *  an empty set. */
-	private async probeStagesWithUnits(
-		slug: string,
-		ref: string,
-		stages: ReadonlyArray<string>,
-	): Promise<Set<string>> {
-		const stagesExpr = `${ref}:.haiku/intents/${slug}/stages`
-		const _cacheKey = `gh:${this.owner}/${this.repo}:listFiles:${stagesExpr}:withUnits`
-		type StageTreeData = {
-			repository: {
-				object: {
-					entries?: ReadonlyArray<{
-						name: string
-						type: string
-						object?: {
-							entries?: ReadonlyArray<{
-								name: string
-								type: string
-								object?: {
-									entries?: ReadonlyArray<{
-										name: string
-										type: string
-									}> | null
-								} | null
-							}> | null
-						} | null
-					}> | null
-				} | null
-			} | null
-		}
-		// Reuse GetIntentQuery's deep traversal — it already includes
-		// stages → stage → subdir → files. Pull just the stagesTree slice.
-		const data = await this.cachedQuery<operationsGetIntentQuery$data>(
-			GetIntentQuery,
-			{
-				owner: this.owner,
-				name: this.repo,
-				intentExpr: `${ref}:.haiku/intents/${slug}/intent.md`,
-				intentTreeExpr: `${ref}:.haiku/intents/${slug}`,
-				stagesExpr,
-				knowledgeExpr: `${ref}:.haiku/intents/${slug}/knowledge`,
-				operationsExpr: `${ref}:.haiku/intents/${slug}/operations`,
-				reflectionExpr: `${ref}:.haiku/intents/${slug}/reflection.md`,
-			},
-			`gh:${this.owner}/${this.repo}:getIntent:${slug}:${ref}`,
-		)
-		const stagesEntries = data?.repository?.stagesTree?.entries ?? []
-		const declaredStages = new Set(stages)
-		const stagesWithUnits = new Set<string>()
-		for (const stageDir of stagesEntries) {
-			if (stageDir.type !== "tree" || !declaredStages.has(stageDir.name))
-				continue
-			const subdirs = stageDir.object?.entries ?? []
-			const unitsDir = subdirs.find(
-				(e) => e.name === "units" && e.type === "tree",
-			)
-			const files = unitsDir?.object?.entries ?? []
-			const hasMd = files.some(
-				(f) => f.type === "blob" && f.name.endsWith(".md"),
-			)
-			if (hasMd) stagesWithUnits.add(stageDir.name)
-		}
-		// Silence the unused type alias — kept for documentation of the
-		// nested shape we're traversing.
-		void (null as unknown as StageTreeData)
-		return stagesWithUnits
-	}
-
 	/** Read a file from a specific branch (bypasses this.branch). */
 	private async readFileFromBranch(
 		branch: string,
@@ -325,16 +332,61 @@ export class GitHubProvider implements BrowseProvider {
 		// merge it over the HEAD baseline.
 		const intentsBySlug = new Map<string, HaikuIntent>()
 
-		// Step 1: List haiku/* branches with PR data
-		const branchesCacheKey = `gh:${this.owner}/${this.repo}:listHaikuBranches`
-		const branchesData =
-			await this.cachedQuery<operationsListHaikuBranchesQuery$data>(
-				ListHaikuBranchesQuery,
-				{ owner: this.owner, name: this.repo, refPrefix: "refs/heads/haiku/" },
-				branchesCacheKey,
+		// Step 1: List ALL haiku/* branches with PR data, PAGINATED.
+		// GitHub's `refs(first: 100)` caps at one page; a busy repo has far more
+		// than 100 `haiku/*` branches (every unit/stage branch counts), so any
+		// intent whose `*/main` ref sorted past #100 silently vanished from the
+		// list. Cursor-paginate until `hasNextPage` is false so it scales past
+		// the single-page cap. Raw GraphQL (not the static Relay artifact) so we
+		// can thread `after:` without regenerating compiled queries.
+		type BranchNode = {
+			name: string
+			associatedPullRequests: {
+				nodes: Array<{
+					number: number
+					url: string
+					state: string
+				} | null> | null
+			}
+		}
+		type RefsConn = {
+			nodes?: Array<BranchNode | null> | null
+			pageInfo?: { hasNextPage: boolean; endCursor: string | null }
+		}
+		type RefsPage = {
+			repository?: { refs?: RefsConn | null }
+		}
+		const branchNodes: BranchNode[] = []
+		let refsCursor: string | null = null
+		for (;;) {
+			const page: RefsPage | undefined = await this.rawGraphql<RefsPage>(
+				`query($owner: String!, $name: String!, $refPrefix: String!, $after: String) {
+					repository(owner: $owner, name: $name) {
+						refs(refPrefix: $refPrefix, first: 100, after: $after) {
+							nodes {
+								name
+								associatedPullRequests(first: 1, states: [OPEN, CLOSED, MERGED], orderBy: { field: UPDATED_AT, direction: DESC }) {
+									nodes { number url state }
+								}
+							}
+							pageInfo { hasNextPage endCursor }
+						}
+					}
+				}`,
+				{
+					owner: this.owner,
+					name: this.repo,
+					refPrefix: "refs/heads/haiku/",
+					after: refsCursor,
+				},
 			)
-
-		const branchNodes = branchesData?.repository?.refs?.nodes ?? []
+			const refs: RefsConn | null | undefined = page?.repository?.refs
+			for (const node of refs?.nodes ?? []) {
+				if (node) branchNodes.push(node)
+			}
+			if (!refs?.pageInfo?.hasNextPage || !refs.pageInfo.endCursor) break
+			refsCursor = refs.pageInfo.endCursor
+		}
 
 		// Capture stage-level branches (haiku/{slug}/{stageName}, where stageName != "main")
 		for (const node of branchNodes) {
@@ -383,80 +435,62 @@ export class GitHubProvider implements BrowseProvider {
 			intentsBySlug.set(entry.name, intent)
 		}
 
-		// Step 3: For each haiku/{slug}/main branch, read ONLY the matching intent
-		// and merge it over the HEAD baseline. Branch version is more current for
-		// active work and carries branch/PR metadata.
+		// Step 3: ONE raw aliased request reads intent.md + the stages-dir set
+		// for EVERY main branch at once (chunked) — replacing the per-main
+		// readFile + per-stage unit probe. PR metadata is already inline in the
+		// branch-list query (free), so we keep it. Active stage + progress
+		// derive from the stage-dir set (the lean equivalent of the probe).
 		const mainBranches = branchNodes.filter((node) =>
 			node?.name.endsWith("/main"),
 		)
-
-		const branchReadPromises = mainBranches.map(async (node) => {
-			if (!node) return
+		const prMetaBySlug = new Map<
+			string,
+			{ prUrl: string | null; prStatus: string | null; prNumber: number | null }
+		>()
+		const mainSlugs: Array<{ slug: string; branch: string }> = []
+		for (const node of mainBranches) {
+			if (!node) continue
 			const slug = node.name.replace(/\/main$/, "")
-			const branchName = `haiku/${node.name}`
-
+			const branch = `haiku/${node.name}`
 			const pr = node.associatedPullRequests.nodes?.[0]
-			const prMeta = pr
-				? {
-						prUrl: pr.url,
-						prStatus: pr.state.toLowerCase(),
-						prNumber: pr.number,
-					}
-				: { prUrl: null, prStatus: null, prNumber: null }
-
-			const rawText = await this.readFileFromBranch(
-				branchName,
-				`.haiku/intents/${slug}/intent.md`,
-			)
-			if (!rawText) return
+			prMetaBySlug.set(slug, {
+				prUrl: pr?.url ?? null,
+				prStatus: pr?.state.toLowerCase() ?? null,
+				prNumber: pr?.number ?? null,
+			})
+			mainSlugs.push({ slug, branch })
+		}
 
-			const intent = this.parseIntentFromRaw(slug, rawText, {
-				branch: branchName,
+		const batch = await this.batchMainBranchData(mainSlugs)
+		for (const { slug, branch } of mainSlugs) {
+			const data = batch.get(slug)
+			if (!data?.rawText) continue
+			const prMeta = prMetaBySlug.get(slug) ?? {
+				prUrl: null,
+				prStatus: null,
+				prNumber: null,
+			}
+			const intent = this.parseIntentFromRaw(slug, data.rawText, {
+				branch,
 				...prMeta,
 			})
-			// v4 active-stage refinement — when intent.md has no
-			// `active_stage` (v4 dropped it), look at the stages tree
-			// (cheap directory listing — no per-unit reads) and pick the
-			// last stage that has any unit files. Falls back to stages[0]
-			// when the agent hasn't touched any stage yet.
-			const isV4 = isV4Intent(intent.raw)
-			if (isV4 && intent.studioStages.length > 0) {
-				const stagesWithUnits = await this.probeStagesWithUnits(
-					slug,
-					branchName,
-					intent.studioStages,
-				)
+			if (isV4Intent(intent.raw) && intent.studioStages.length > 0) {
 				intent.activeStage = deriveActiveStageFromStageTree(
 					intent.studioStages,
-					stagesWithUnits,
+					new Set(data.stageDirs),
 				)
-				// Recompute progress to match the refined active stage — v4
-				// intent.md has no active_stage, so the initial parse left
-				// stagesComplete at 0 and the list-view progress bar (gated on
-				// stagesComplete > 0) stayed hidden for in-flight intents.
 				if (intent.status !== "completed") {
 					const idx = intent.studioStages.indexOf(intent.activeStage)
 					if (idx >= 0) intent.stagesComplete = idx
 				}
 			}
 			intentsBySlug.set(slug, intent)
-			this.intentBranchMap.set(slug, branchName)
-			this.intentMetaMap.set(slug, { branch: branchName, ...prMeta })
-		})
-
-		// Stream default-branch intents immediately so the UI renders progressively
-		for (const [, intent] of intentsBySlug) {
-			onProgress?.(intent)
+			this.intentBranchMap.set(slug, branch)
+			this.intentMetaMap.set(slug, { branch, ...prMeta })
 		}
 
-		// Branch reads may update existing entries — re-emit after they resolve
-		await Promise.all(branchReadPromises)
-
 		const allIntents = Array.from(intentsBySlug.values())
-		for (const intent of allIntents) {
-			if (intent.branch) onProgress?.(intent)
-		}
-
+		for (const intent of allIntents) onProgress?.(intent)
 		return allIntents
 	}
 
diff --git a/website/lib/browse/gitlab-provider.ts b/website/lib/browse/gitlab-provider.ts
index 52cd1e1a3..5a501e249 100644
--- a/website/lib/browse/gitlab-provider.ts
+++ b/website/lib/browse/gitlab-provider.ts
@@ -3,7 +3,6 @@ import { createRelayEnvironment } from "./graphql/environment"
 import type { operationsBatchBlobsQuery$data } from "./graphql/gitlab/__generated__/operationsBatchBlobsQuery.graphql"
 import BatchBlobsQuery from "./graphql/gitlab/__generated__/operationsBatchBlobsQuery.graphql"
 import type { operationsIntentTreeQuery$data } from "./graphql/gitlab/__generated__/operationsIntentTreeQuery.graphql"
-import IntentTreeQuery from "./graphql/gitlab/__generated__/operationsIntentTreeQuery.graphql"
 import type { operationsListBranchNamesQuery$data } from "./graphql/gitlab/__generated__/operationsListBranchNamesQuery.graphql"
 import ListBranchNamesQuery from "./graphql/gitlab/__generated__/operationsListBranchNamesQuery.graphql"
 import ListFilesQueryArtifact from "./graphql/gitlab/__generated__/operationsListFilesQuery.graphql"
@@ -19,8 +18,8 @@ import {
 	deriveV4ActiveStage,
 	isCollectibleStageFile,
 	isV4Intent,
-	normalizeStageProgression,
 	mergeKnowledge as mergeKnowledgeShared,
+	normalizeStageProgression,
 	parseElaborationVerified,
 	parseFeedback,
 	parseIntentApprovals,
@@ -123,6 +122,136 @@ export class GitLabProvider implements BrowseProvider {
 		})
 	}
 
+	/** Raw GraphQL POST. Relay queries are STATIC (compiled at build time), so
+	 *  they can't fan out across a variable number of branch refs in one
+	 *  request. The lean list loader needs exactly that — one request that
+	 *  reads `intent.md` + the `stages/` tree for N `haiku/<slug>/main` branches
+	 *  via per-branch aliases — so it builds the query string dynamically + posts
+	 *  it here. Returns `data` (or undefined on a network/transport error;
+	 *  per-alias field errors surface as null nodes the caller tolerates). */
+	private async rawGraphql<T>(
+		query: string,
+		variables?: Record<string, unknown>,
+	): Promise<T | undefined> {
+		try {
+			const res = await fetch(`https://${this.host}/api/graphql`, {
+				method: "POST",
+				headers: {
+					"Content-Type": "application/json",
+					...this.graphqlHeaders(),
+				},
+				body: JSON.stringify({ query, variables: variables ?? {} }),
+			})
+			if (!res.ok) {
+				console.warn(
+					`[haiku-browse] raw GraphQL HTTP ${res.status} ${res.statusText}`,
+				)
+				return undefined
+			}
+			const json = (await res.json()) as {
+				data?: T
+				errors?: Array<{ message: string }>
+			}
+			// GraphQL errors come back 200 with `errors[]` + (often) null data.
+			// Surface them — a silently-dropped intent in the list view is
+			// otherwise indistinguishable from "no such intent".
+			if (json.errors?.length) {
+				console.warn(
+					"[haiku-browse] raw GraphQL errors:",
+					json.errors.map((e) => e.message).join("; "),
+				)
+			}
+			return json.data
+		} catch (err) {
+			console.warn("[haiku-browse] raw GraphQL fetch failed:", err)
+			return undefined
+		}
+	}
+
+	/** LEAN per-main-branch batch for the LIST view. For each `haiku/<slug>/main`
+	 *  branch, reads ONLY (a) its `intent.md` and (b) the immediate subdir names
+	 *  under `.haiku/intents/<slug>/stages/` (the stage-dir count) — both as
+	 *  per-branch ALIASES in a single raw GraphQL request (chunked). Replaces
+	 *  the old O(3N) fan-out (per-branch readFile + MR fetch + per-stage probe);
+	 *  MR/PR status now loads lazily in the detail view. */
+	private async batchMainBranchData(
+		mains: Array<{ slug: string; branch: string }>,
+	): Promise<Map<string, { rawText: string | null; stageDirs: string[] }>> {
+		const out = new Map<
+			string,
+			{ rawText: string | null; stageDirs: string[] }
+		>()
+		type RepoFields = Record<
+			string,
+			{
+				nodes?: Array<{ rawTextBlob?: string | null }>
+				trees?: { nodes?: Array<{ name?: string | null }> }
+			} | null
+		>
+		for (let i = 0; i < mains.length; i += CHUNK_SIZE) {
+			const chunk = mains.slice(i, i + CHUNK_SIZE)
+			const fields = chunk
+				.map((m, j) => {
+					const ref = JSON.stringify(m.branch)
+					const md = JSON.stringify(`.haiku/intents/${m.slug}/intent.md`)
+					const st = JSON.stringify(`.haiku/intents/${m.slug}/stages`)
+					return (
+						`a${j}_md: blobs(ref: ${ref}, paths: [${md}], first: 1) { nodes { rawTextBlob } }\n` +
+						`a${j}_st: tree(ref: ${ref}, path: ${st}, recursive: false) { trees(first: 50) { nodes { name } } }`
+					)
+				})
+				.join("\n")
+			const query = `query GLBatchMains($fp: ID!) { project(fullPath: $fp) { repository { ${fields} } } }`
+			const data = await this.rawGraphql<{
+				project?: { repository?: RepoFields }
+			}>(query, { fp: this.projectPath })
+			const repo = data?.project?.repository
+			// Per-branch fallback: if the aliased batch yielded no intent.md for
+			// a branch (transport error, a per-alias field error, or an empty
+			// node), fall back to the proven single-ref reads so the intent
+			// still surfaces. Correctness first; the batch is the fast path.
+			await Promise.all(
+				chunk.map(async (m, j) => {
+					let rawText = repo?.[`a${j}_md`]?.nodes?.[0]?.rawTextBlob ?? null
+					let stageDirs = (repo?.[`a${j}_st`]?.trees?.nodes ?? [])
+						.map((n) => n?.name)
+						.filter((n): n is string => typeof n === "string" && n.length > 0)
+					if (!rawText) {
+						rawText = await this.readFileFromRef(
+							m.branch,
+							`.haiku/intents/${m.slug}/intent.md`,
+						)
+						const treeData =
+							await this.cachedQuery<operationsListIntentsTreeQuery$data>(
+								ListIntentsTreeQuery,
+								{
+									fullPath: this.projectPath,
+									path: `.haiku/intents/${m.slug}/stages`,
+									ref: m.branch,
+								},
+								`gl:${this.host}:${this.projectPath}:stagesDirs:${m.slug}:${m.branch}`,
+							)
+						stageDirs = (
+							treeData?.project?.repository?.tree?.trees?.nodes ?? []
+						)
+							.map((n) => n?.name)
+							.filter((n): n is string => typeof n === "string" && n.length > 0)
+						if (!rawText) {
+							// Batch AND fallback both missed — the intent silently
+							// falls back to its default-branch baseline. Surface it so
+							// a vanished/half-loaded intent is debuggable.
+							console.warn(
+								`[haiku-browse] intent.md unreadable for ${m.slug}@${m.branch} (batch + fallback both null); using default-branch baseline`,
+							)
+						}
+					}
+					out.set(m.slug, { rawText, stageDirs })
+				}),
+			)
+		}
+		return out
+	}
+
 	/** Ref parameter for GraphQL queries. null means HEAD (server default). */
 	private get ref(): string | null {
 		return this.branch || null
@@ -133,11 +262,11 @@ export class GitLabProvider implements BrowseProvider {
 	 *  CSS/images load inside the sandboxed (opaque-origin) iframe, which
 	 *  can't reach parent-origin blob URLs or attach an auth header. Mirrors
 	 *  the artifact rawUrl scheme used at session build (files/:path/raw). */
-	async resolveAssetUrl(path: string): Promise<string | null> {
+	async resolveAssetUrl(path: string, ref?: string): Promise<string | null> {
 		try {
 			const encodedPath = encodeURIComponent(path)
-			const ref = this.branch || "HEAD"
-			const url = `https://${this.host}/api/v4/projects/${this.encodedProject}/repository/files/${encodedPath}/raw?ref=${encodeURIComponent(ref)}`
+			const refName = ref || this.branch || "HEAD"
+			const url = `https://${this.host}/api/v4/projects/${this.encodedProject}/repository/files/${encodedPath}/raw?ref=${encodeURIComponent(refName)}`
 			const res = await fetch(url, { headers: this.restHeaders() })
 			if (!res.ok) return null
 			return blobToDataUrl(await res.blob(), mimeFromPath(path))
@@ -164,8 +293,9 @@ export class GitLabProvider implements BrowseProvider {
 		return result as T | undefined
 	}
 
-	async readFile(path: string): Promise<string | null> {
-		const cacheKey = `gl:${this.host}:${this.projectPath}:readFile:${path}`
+	async readFile(path: string, ref?: string): Promise<string | null> {
+		const refName = ref ?? this.ref
+		const cacheKey = `gl:${this.host}:${this.projectPath}:readFile:${refName ?? "HEAD"}:${path}`
 		type ReadData = {
 			project: {
 				repository: {
@@ -180,7 +310,7 @@ export class GitLabProvider implements BrowseProvider {
 		}
 		const data = await this.cachedQuery<ReadData>(
 			ReadFileQuery,
-			{ fullPath: this.projectPath, paths: [path], ref: this.ref },
+			{ fullPath: this.projectPath, paths: [path], ref: refName },
 			cacheKey,
 		)
 		const nodes = data?.project?.repository?.blobs?.nodes
@@ -307,67 +437,40 @@ export class GitLabProvider implements BrowseProvider {
 		// Scan mode: discover intents across all haiku/* branches + default branch
 		const intentsBySlug = new Map<string, HaikuIntent>()
 
-		// Step 1: List haiku/* branches via GraphQL
-		const branchesCacheKey = `gl:${this.host}:${this.projectPath}:listHaikuBranches`
-		const branchesData =
-			await this.cachedQuery<operationsListBranchNamesQuery$data>(
+		// Step 1: List the intent branches via GraphQL — PAGINATED. `branchNames`
+		// caps at `limit` per call (100), and a busy monorepo has far more than
+		// 100 `haiku/*` branches (every unit branch counts), so a single page
+		// silently dropped intents whose `*/main` branch sorted past the cutoff
+		// (worker-new-badge, 2026-05-28). The lean list only needs the `*/main`
+		// branches, so narrow the glob to `haiku/*/main` (far fewer results) AND
+		// page through until a short page signals the end.
+		const PAGE = 100
+		const mainBranches: string[] = []
+		for (let offset = 0; ; offset += PAGE) {
+			const page = await this.cachedQuery<operationsListBranchNamesQuery$data>(
 				ListBranchNamesQuery,
 				{
 					fullPath: this.projectPath,
-					searchPattern: "haiku/*",
-					offset: 0,
-					limit: 100,
+					searchPattern: "haiku/*/main",
+					offset,
+					limit: PAGE,
 				},
-				branchesCacheKey,
-			)
-
-		const branchNames = branchesData?.project?.repository?.branchNames ?? []
-		if (branchNames.length > 0) {
-			console.log(
-				`[haiku-browse] Found ${branchNames.length} haiku branches:`,
-				branchNames,
-			)
-		} else {
-			console.log(
-				`[haiku-browse] No haiku branches found via branchNames query`,
+				`gl:${this.host}:${this.projectPath}:listMainBranches:${offset}`,
 			)
+			const names = page?.project?.repository?.branchNames ?? []
+			for (const name of names) {
+				const parts = name.split("/")
+				if (parts.length >= 2 && parts[parts.length - 1] === "main") {
+					mainBranches.push(name)
+				}
+			}
+			if (names.length < PAGE) break
 		}
 
-		// Capture stage-level branches (haiku/{slug}/{stageName}, where stageName != "main")
-		const stageBranchNames = branchNames.filter((name: string) => {
-			const parts = name.split("/")
-			return (
-				parts.length >= 3 &&
-				parts[0] === "haiku" &&
-				parts[parts.length - 1] !== "main"
-			)
-		})
-
-		// Fetch MR data for stage branches in parallel
-		const stageBranchPromises = stageBranchNames.map(
-			async (branchName: string) => {
-				const parts = branchName.split("/")
-				const slug = parts.slice(1, -1).join("/")
-				const stageName = parts[parts.length - 1]
-				if (!slug || !stageName) return
-
-				const { prUrl, prStatus, prNumber } =
-					await this.fetchMrForBranch(branchName)
-
-				this.stageBranchMap.set(`${slug}/${stageName}`, {
-					branch: branchName,
-					prUrl,
-					prStatus,
-					prNumber,
-				})
-			},
-		)
-
-		// Filter to haiku/*/main branches and extract slugs
-		const mainBranches = branchNames.filter((name: string) => {
-			const parts = name.split("/")
-			return parts.length >= 2 && parts[parts.length - 1] === "main"
-		})
+		// LEAN list-view load: NO per-stage-branch MR fan-out and NO per-stage
+		// unit probes — those were the O(N) slowness. MR/PR status + per-stage
+		// detail load lazily in the detail view. The list needs only:
+		// title/studio/mode/status + branch + stage-dir-count over total stages.
 
 		// Step 2: Load ALL intents from default branch — the canonical catalog
 		const defaultIntents = await this.listIntentsFromRef(null)
@@ -375,73 +478,42 @@ export class GitLabProvider implements BrowseProvider {
 			intentsBySlug.set(intent.slug, intent)
 		}
 
-		// Step 3: For each haiku/{slug}/main branch, read ONLY the matching intent
-		// and merge it over the default branch baseline. Branch version is more
-		// current for active work and carries branch/MR metadata.
-		const branchReadPromises = mainBranches.map(async (branchName) => {
-			const parts = branchName.split("/")
-			const slug = parts.slice(1, -1).join("/")
-			if (!slug) return
-
-			const rawText = await this.readFileFromRef(
-				branchName,
-				`.haiku/intents/${slug}/intent.md`,
-			)
-			if (!rawText) return
-
-			// Fetch the most recent MR for this branch in ANY state (opened, merged, closed).
-			const { prUrl, prStatus, prNumber } =
-				await this.fetchMrForBranch(branchName)
-
-			const intent = this.parseIntentFromRaw(slug, rawText, {
-				branch: branchName,
-				prUrl,
-				prStatus,
-				prNumber,
+		// Step 3: ONE raw aliased request reads intent.md + the stages-dir set
+		// for EVERY main branch at once (chunked) — replacing the old O(3N)
+		// per-branch readFile + MR fetch + per-stage unit probe. The active
+		// stage + progress are derived from the stage-dir set (the lean
+		// equivalent of the per-stage probe). Branch version overrides the
+		// default-branch baseline (it's more current for active work).
+		const mainSlugs = mainBranches
+			.map((branchName) => {
+				const parts = branchName.split("/")
+				const slug = parts.slice(1, -1).join("/")
+				return slug ? { slug, branch: branchName } : null
 			})
-			// v4+ active-stage refinement (see github-provider.ts).
-			const isV4 = isV4Intent(intent.raw)
-			if (isV4 && intent.studioStages.length > 0) {
-				const stagesWithUnits = await this.probeStagesWithUnits(
-					slug,
-					branchName,
-					intent.studioStages,
-				)
+			.filter((m): m is { slug: string; branch: string } => m !== null)
+
+		const batch = await this.batchMainBranchData(mainSlugs)
+		for (const { slug, branch } of mainSlugs) {
+			const data = batch.get(slug)
+			if (!data?.rawText) continue
+			const intent = this.parseIntentFromRaw(slug, data.rawText, { branch })
+			if (isV4Intent(intent.raw) && intent.studioStages.length > 0) {
 				intent.activeStage = deriveActiveStageFromStageTree(
 					intent.studioStages,
-					stagesWithUnits,
+					new Set(data.stageDirs),
 				)
-				// Recompute progress to match the refined active stage — v4
-				// intent.md has no active_stage, so the initial parse left
-				// stagesComplete at 0 and hid the list-view progress bar.
 				if (intent.status !== "completed") {
 					const idx = intent.studioStages.indexOf(intent.activeStage)
 					if (idx >= 0) intent.stagesComplete = idx
 				}
 			}
 			intentsBySlug.set(slug, intent)
-			this.intentBranchMap.set(slug, branchName)
-			this.intentMetaMap.set(slug, {
-				branch: branchName,
-				prUrl,
-				prStatus,
-				prNumber,
-			})
-		})
-
-		// Stream default-branch intents immediately so the UI renders progressively
-		for (const [, intent] of intentsBySlug) {
-			onProgress?.(intent)
+			this.intentBranchMap.set(slug, branch)
+			this.intentMetaMap.set(slug, { branch })
 		}
 
-		// Branch reads may update existing entries — re-emit after they resolve
-		await Promise.all([...branchReadPromises, ...stageBranchPromises])
-
 		const allIntents = Array.from(intentsBySlug.values())
-		for (const intent of allIntents) {
-			if (intent.branch) onProgress?.(intent)
-		}
-
+		for (const intent of allIntents) onProgress?.(intent)
 		return allIntents
 	}
 
@@ -519,42 +591,6 @@ export class GitLabProvider implements BrowseProvider {
 
 	// ── Three-level merge helpers ────────────────────────────────────────
 
-	/** Cheaply probe which declared stages have at least one unit file
-	 *  on disk. Recursive tree-list scoped to the intent's stages dir on
-	 *  a single ref (intent main branch). No per-file reads — just the
-	 *  blob paths from the tree. Used by listIntents() to derive a v4
-	 *  active-stage candidate. */
-	private async probeStagesWithUnits(
-		slug: string,
-		ref: string,
-		stages: ReadonlyArray<string>,
-	): Promise<Set<string>> {
-		const stagesPath = `.haiku/intents/${slug}/stages`
-		const cacheKey = `gl:${this.host}:${this.projectPath}:probeStages:${slug}:${ref}`
-		const treeData = await this.cachedQuery<operationsIntentTreeQuery$data>(
-			IntentTreeQuery,
-			{ fullPath: this.projectPath, path: stagesPath, ref },
-			cacheKey,
-		)
-		const blobs = (
-			treeData?.project?.repository?.tree?.blobs?.nodes ?? []
-		).filter((b): b is { name: string; path: string } => b?.path != null)
-		const declared = new Set(stages)
-		const out = new Set<string>()
-		for (const blob of blobs) {
-			if (!blob.path.startsWith(`${stagesPath}/`)) continue
-			const rest = blob.path.slice(stagesPath.length + 1)
-			const parts = rest.split("/")
-			if (parts.length < 3) continue
-			const [stageName, subdir, fileName] = parts
-			if (!declared.has(stageName)) continue
-			if (subdir !== "units") continue
-			if (!fileName?.endsWith(".md")) continue
-			out.add(stageName)
-		}
-		return out
-	}
-
 	/** Data returned by fetchIntentTreeFromRef — all blobs, trees, and resolved assets for one ref. */
 	private static readonly EMPTY_REF_DATA: GitLabIntentRefData = {
 		blobByPath: new Map(),
@@ -571,13 +607,40 @@ export class GitLabProvider implements BrowseProvider {
 		const basePath = `.haiku/intents/${slug}`
 		const refLabel = ref || "HEAD"
 
-		// Step 1: Recursive tree listing
+		// Step 1: Recursive tree listing. Raw GraphQL (not the Relay artifact) on
+		// purpose: GitLab's TreeEntry `id` is content-addressed (the blob SHA), so
+		// two identical files at different paths (e.g. a DESIGN-BRIEF.md copied into
+		// both `knowledge/` and `stages/design/`) return the SAME id with different
+		// `path`. The Relay artifact auto-injects `id` for the Node-typed entries,
+		// and the normalizer then warns "conflicting field ... same id" and lets one
+		// path clobber the other. We only read `name`/`path` into plain objects (no
+		// Relay store use), so request exactly those — no id, no normalization.
+		// Cache the listing in glCache (TTL + cleared by clearBranchCache, which
+		// already purges `intentTree` keys) so re-mounting the detail view for the
+		// same intent doesn't re-fetch — rawGraphql bypasses Relay's store, so it
+		// has no cache of its own.
 		const treeCacheKey = `gl:${this.host}:${this.projectPath}:intentTree:${slug}:${refLabel}`
-		const treeData = await this.cachedQuery<operationsIntentTreeQuery$data>(
-			IntentTreeQuery,
-			{ fullPath: this.projectPath, path: basePath, ref },
-			treeCacheKey,
-		)
+		const cachedTree = glCache.get(treeCacheKey)
+		let treeData: operationsIntentTreeQuery$data | undefined
+		if (cachedTree && Date.now() - cachedTree.ts < GL_CACHE_TTL) {
+			treeData = cachedTree.data as operationsIntentTreeQuery$data
+		} else {
+			treeData = await this.rawGraphql<operationsIntentTreeQuery$data>(
+				`query($fullPath: ID!, $path: String!, $ref: String) {
+					project(fullPath: $fullPath) {
+						repository {
+							tree(path: $path, ref: $ref, recursive: true) {
+								blobs(first: 500) { nodes { name path } }
+								trees(first: 100) { nodes { name path } }
+							}
+						}
+					}
+				}`,
+				{ fullPath: this.projectPath, path: basePath, ref },
+			)
+			if (treeData)
+				glCache.set(treeCacheKey, { data: treeData, ts: Date.now() })
+		}
 
 		const allBlobs = (
 			treeData?.project?.repository?.tree?.blobs?.nodes ?? []
@@ -758,9 +821,7 @@ export class GitLabProvider implements BrowseProvider {
 
 		// Per-stage user-facing BRIEF + agent OBSERVATIONS.
 		const briefText = data.blobByPath.get(`${stagePath}/BRIEF.md`)
-		const observationsText = data.blobByPath.get(
-			`${stagePath}/observations.md`,
-		)
+		const observationsText = data.blobByPath.get(`${stagePath}/observations.md`)
 
 		return {
 			name: stageName,
diff --git a/website/lib/browse/types.ts b/website/lib/browse/types.ts
index 584aa7474..85e92a091 100644
--- a/website/lib/browse/types.ts
+++ b/website/lib/browse/types.ts
@@ -19,7 +19,12 @@ export type {
 } from "@haiku/shared"
 
 // Re-export shared utilities from @haiku/shared
-export { formatDate, formatDuration, titleCase } from "@haiku/shared"
+export {
+	formatDate,
+	formatDuration,
+	formatDurationMs,
+	titleCase,
+} from "@haiku/shared"
 
 // Website-specific types and utilities remain here
 
@@ -32,15 +37,20 @@ export interface BrowseProvider {
 	getIntent(
 		slug: string,
 	): Promise<import("@haiku/shared").HaikuIntentDetail | null>
-	/** Read a raw file from the workspace */
-	readFile(path: string): Promise<string | null>
+	/** Read a raw file from the workspace. `ref` (optional) reads from a
+	 *  specific branch/commit instead of the provider's default — the detail
+	 *  view passes the intent's `haiku/<slug>/main` branch so an unmerged
+	 *  intent's artifacts/code resolve from where they actually live, not the
+	 *  default branch (where they don't exist yet). */
+	readFile(path: string, ref?: string): Promise<string | null>
 	/** Resolve an intent-relative file path to a directly-usable URL (a blob
 	 *  URL for local files, an authed-fetched blob URL for git providers) so
 	 *  it can load inside a sandboxed `srcDoc` iframe with no base URL and no
 	 *  auth header. Returns null when the file is missing/unreadable. Used to
-	 *  render an HTML output's relative assets (CSS, images). Optional —
+	 *  render an HTML output's relative assets (CSS, images). `ref` (optional)
+	 *  targets a specific branch — same rationale as readFile. Optional —
 	 *  providers without it fall back to non-asset-resolved rendering. */
-	resolveAssetUrl?(path: string): Promise<string | null>
+	resolveAssetUrl?(path: string, ref?: string): Promise<string | null>
 	/** List files matching a pattern in a directory */
 	listFiles(dir: string): Promise<string[]>
 	/** Write a file to the workspace via commit (optional — not all providers support writes) */
@@ -204,8 +214,12 @@ export function parseUnit(
 		refs: (data.refs as string[]) || [],
 		inputs: (data.inputs as string[]) || [],
 		outputs: (data.outputs as string[]) || [],
-		bolt: (data.bolt as number) || 0,
-		hat: (data.hat as string) || "",
+		// v4 dropped the top-level `bolt`/`hat` FM fields — both derive from the
+		// append-only iterations log now. `bolt` = number of hat dispatches;
+		// `hat` = the most recent (current for an in-flight unit, terminal for a
+		// completed one). Reading `data.bolt`/`data.hat` would always be 0/"".
+		bolt: Array.isArray(data.iterations) ? data.iterations.length : 0,
+		hat: lastIterationHat(data.iterations),
 		startedAt: (data.started_at as string) || null,
 		completedAt: (data.completed_at as string) || null,
 		criteria: parseCriteria(content),
@@ -214,6 +228,15 @@ export function parseUnit(
 	}
 }
 
+/** The most recent iteration's hat — the current hat for an in-flight unit, the
+ *  terminal hat for a completed one. "" when there are no iterations. */
+function lastIterationHat(iterations: unknown): string {
+	if (!Array.isArray(iterations) || iterations.length === 0) return ""
+	const last = iterations[iterations.length - 1]
+	const hat = (last as { hat?: unknown })?.hat
+	return typeof hat === "string" ? hat : ""
+}
+
 export function parseCriteria(
 	content: string,
 ): Array<{ text: string; checked: boolean }> {
diff --git a/website/lib/browse/url.ts b/website/lib/browse/url.ts
index 96633e5b1..1a5ce4d9d 100644
--- a/website/lib/browse/url.ts
+++ b/website/lib/browse/url.ts
@@ -31,7 +31,7 @@ const RESERVED_KEYWORDS = new Set(["intent", "board"])
  *   → "/browse/github.com/org/repo/intent/add-login/"
  *
  *   buildBrowseUrl({ host: "github.com", project: "org/repo", intent: "add-login", stage: "dev", unit: "unit-01" })
- *   → "/browse/github.com/org/repo/intent/add-login/stage/dev/unit-01/"
+ *   → "/browse/github.com/org/repo/intent/add-login/stage/dev/unit/unit-01/"
  */
 export function buildBrowseUrl(loc: BrowseLocation): string {
 	const base = `/browse/${loc.host}/${loc.project}`
@@ -42,7 +42,9 @@ export function buildBrowseUrl(loc: BrowseLocation): string {
 		if (loc.stage) {
 			path = `${base}/intent/${loc.intent}/stage/${loc.stage}/`
 			if (loc.unit) {
-				path = `${base}/intent/${loc.intent}/stage/${loc.stage}/${loc.unit}/`
+				// `unit/` keyword mirrors `intent/` and `stage/` — each level of the
+				// path is keyword-delimited rather than positional.
+				path = `${base}/intent/${loc.intent}/stage/${loc.stage}/unit/${loc.unit}/`
 			}
 		}
 	} else if (loc.view === "board") {
@@ -122,13 +124,23 @@ export function parseBrowsePath(segments: string[]): BrowseLocation | null {
 		if (remaining.length >= 1) loc.intent = remaining[0]
 		// Parse stage: either "stage/{name}" keyword format or legacy "{name}" positional format
 		if (remaining.length >= 3 && remaining[1] === "stage") {
-			// New format: intent/{slug}/stage/{stage}[/{unit}]
+			// New format: intent/{slug}/stage/{stage}[/unit/{unit}]
 			loc.stage = remaining[2]
-			if (remaining.length >= 4) loc.unit = remaining[3]
+			if (remaining.length >= 5 && remaining[3] === "unit") {
+				// Keyword form: …/stage/{stage}/unit/{unit}
+				loc.unit = remaining[4]
+			} else if (remaining.length >= 4 && remaining[3] !== "unit") {
+				// Legacy positional: …/stage/{stage}/{unit}
+				loc.unit = remaining[3]
+			}
 		} else if (remaining.length >= 2 && remaining[1] !== "stage") {
-			// Legacy format: intent/{slug}/{stage}[/{unit}]
+			// Legacy format: intent/{slug}/{stage}[/{unit}] (pre-stage-keyword)
 			loc.stage = remaining[1]
-			if (remaining.length >= 3) loc.unit = remaining[2]
+			if (remaining.length >= 4 && remaining[2] === "unit") {
+				loc.unit = remaining[3]
+			} else if (remaining.length >= 3 && remaining[2] !== "unit") {
+				loc.unit = remaining[2]
+			}
 		}
 		return loc
 	}
diff --git a/website/public/prototype-stage-content.json b/website/public/prototype-stage-content.json
index dcb2096e5..de5d87314 100644
--- a/website/public/prototype-stage-content.json
+++ b/website/public/prototype-stage-content.json
@@ -240,6 +240,18 @@
         }
       },
       "operations": {},
+      "intentReviewAgents": {
+        "cross-stage-consistency": {
+          "content": "---\nmodel: opus\nscope: intent\ninterpretation: lens\n---\n**Mandate:** Verify the intent's artifacts are internally consistent across stages. You are the only reviewer that sees the whole intent at once — your job is to catch seams that per-stage reviewers miss.\n\n**Check:**\n- The agent **MUST** verify that each stage's outputs align with what upstream stages specified — no dropped requirements, no silent scope expansion\n- The agent **MUST** verify that naming is consistent across stages — a concept named one thing upstream should carry the same name downstream\n- The agent **MUST** verify that stages' declared outputs exist at the paths their unit frontmatter promised\n- The agent **MUST** verify that the stages collectively deliver the intent's stated goal (read `intent.md`) — partial delivery is a finding\n- The agent **MUST** verify that concerns raised by any stage's review were actually addressed (not silently ignored)\n\n**Anti-patterns (RFC 2119):**\n- The agent **MUST NOT** re-litigate decisions already approved at each stage's gate\n- The agent **MUST NOT** propose new features or scope additions\n- The agent **MUST NOT** flag stylistic preferences — concrete divergence only\n",
+          "frontmatter": {
+            "model": "opus",
+            "scope": "intent",
+            "interpretation": "lens"
+          },
+          "body": "**Mandate:** Verify the intent's artifacts are internally consistent across stages. You are the only reviewer that sees the whole intent at once — your job is to catch seams that per-stage reviewers miss.\n\n**Check:**\n- The agent **MUST** verify that each stage's outputs align with what upstream stages specified — no dropped requirements, no silent scope expansion\n- The agent **MUST** verify that naming is consistent across stages — a concept named one thing upstream should carry the same name downstream\n- The agent **MUST** verify that stages' declared outputs exist at the paths their unit frontmatter promised\n- The agent **MUST** verify that the stages collectively deliver the intent's stated goal (read `intent.md`) — partial delivery is a finding\n- The agent **MUST** verify that concerns raised by any stage's review were actually addressed (not silently ignored)\n\n**Anti-patterns (RFC 2119):**\n- The agent **MUST NOT** re-litigate decisions already approved at each stage's gate\n- The agent **MUST NOT** propose new features or scope additions\n- The agent **MUST NOT** flag stylistic preferences — concrete divergence only\n",
+          "path": "plugin/studios/compliance/intent-review-agents/cross-stage-consistency.md"
+        }
+      },
       "templates": {
         "quarterly-evidence-collection": {
           "content": "---\nname: quarterly-evidence-collection\nstudio: compliance\ndescription: Quarterly evidence collection cycle for ongoing compliance\nparameters:\n  - name: framework\n    description: \"Compliance framework: SOC2, HIPAA, GDPR, ISO27001\"\n    required: true\n  - name: quarter\n    description: \"Quarter: Q1, Q2, Q3, Q4\"\n    required: true\n  - name: year\n    description: Year\n    required: true\nstages-override: [assess, document]\nunits:\n  - name: \"control-review\"\n    stage: assess\n    criteria:\n      - \"All {{ framework }} controls reviewed for {{ quarter }} {{ year }}\"\n      - \"Gaps identified with severity ratings\"\n      - \"No critical gaps from previous quarter remain unresolved\"\n  - name: \"evidence-package\"\n    stage: document\n    criteria:\n      - \"Evidence collected for all in-scope controls\"\n      - \"Screenshots and logs are timestamped within the quarter\"\n      - \"Evidence index updated and organized per auditor format\"\n---\n\nRecurring quarterly compliance evidence collection. Does not require full scope/remediate cycle.\n",
@@ -515,6 +527,7 @@
           "frontmatter": {
             "name": "remediate",
             "description": "Implement controls, fix gaps, update configurations and policies",
+            "optional": true,
             "hats": [
               "remediation-engineer",
               "policy-writer",
@@ -534,7 +547,7 @@
               }
             ]
           },
-          "stageMd": "---\nname: remediate\ndescription: Implement controls, fix gaps, update configurations and policies\nhats: [remediation-engineer, policy-writer, verifier]\nfix_hats: [classifier, remediation-engineer, feedback-assessor]\nreview: ask\nelaboration: autonomous\ninputs:\n  - stage: assess\n    discovery: gap-report\n---\n\n# Remediate\n\nTake the ranked gap list and close the gaps. This is the build-class stage of the compliance lifecycle: units are discrete pieces of executable work — config changes, code changes, policy authorship — each with concrete acceptance criteria and a way to confirm the change actually addresses the gap.\n\n## Scope\n\nImplementing the technical and governance changes that satisfy the open controls, and recording how each change is verified. Remediate decides *how to close each gap and prove it closed* — not whether the gap was correctly graded (that's a revisit to assess) and not how the evidence is packaged for the auditor (that's document).\n\n## What to do\n\n- Trace every change back to the specific gap and control it closes; leave no gap addressed by guesswork.\n- Pair each technical acceptance criterion with an executable verify-command, and map each policy clause to the control it satisfies.\n- Build changes that are verifiable in isolation, so closure is demonstrable rather than asserted.\n- Keep technical and governance remediation distinct even when one gap needs both.\n\n## What NOT to do\n\n- Don't re-grade a control or reopen the scope boundary — a wrong finding is a revisit upstream, not a quiet reinterpretation here.\n- Don't assemble the auditor-facing evidence package — that's the document stage.\n- Don't claim a gap closed without a verify-command or a clause-to-control mapping that proves it.\n- Don't add changes the gap list doesn't call for.\n",
+          "stageMd": "---\nname: remediate\ndescription: Implement controls, fix gaps, update configurations and policies\noptional: true\nhats: [remediation-engineer, policy-writer, verifier]\nfix_hats: [classifier, remediation-engineer, feedback-assessor]\nreview: ask\nelaboration: autonomous\ninputs:\n  - stage: assess\n    discovery: gap-report\n---\n\n# Remediate\n\nTake the ranked gap list and close the gaps. This is the build-class stage of the compliance lifecycle: units are discrete pieces of executable work — config changes, code changes, policy authorship — each with concrete acceptance criteria and a way to confirm the change actually addresses the gap.\n\n## Scope\n\nImplementing the technical and governance changes that satisfy the open controls, and recording how each change is verified. Remediate decides *how to close each gap and prove it closed* — not whether the gap was correctly graded (that's a revisit to assess) and not how the evidence is packaged for the auditor (that's document).\n\n## What to do\n\n- Trace every change back to the specific gap and control it closes; leave no gap addressed by guesswork.\n- Pair each technical acceptance criterion with an executable verify-command, and map each policy clause to the control it satisfies.\n- Build changes that are verifiable in isolation, so closure is demonstrable rather than asserted.\n- Keep technical and governance remediation distinct even when one gap needs both.\n\n## What NOT to do\n\n- Don't re-grade a control or reopen the scope boundary — a wrong finding is a revisit upstream, not a quiet reinterpretation here.\n- Don't assemble the auditor-facing evidence package — that's the document stage.\n- Don't claim a gap closed without a verify-command or a clause-to-control mapping that proves it.\n- Don't add changes the gap list doesn't call for.\n",
           "stagePath": "plugin/studios/compliance/stages/remediate/STAGE.md",
           "hats": {
             "policy-writer": {
@@ -683,6 +696,7 @@
           "frontmatter": {
             "name": "certify",
             "description": "Prepare for and support external audit, address findings",
+            "optional": true,
             "hats": [
               "audit-liaison",
               "finding-resolver",
@@ -719,7 +733,7 @@
               }
             ]
           },
-          "stageMd": "---\nname: certify\ndescription: Prepare for and support external audit, address findings\nhats: [audit-liaison, finding-resolver, verifier]\nfix_hats: [classifier, audit-liaison, feedback-assessor]\nreview: [external, await]\nelaboration: autonomous\ninputs:\n  - stage: document\n    discovery: evidence-package\nreview-agents-include:\n  - stage: assess\n    agents: [thoroughness]\n  - stage: remediate\n    agents: [effectiveness]\n---\n\n# Certify\n\nThe external-audit stage and the terminus of the compliance lifecycle. The internal work has produced scope, findings, remediations, and an evidence package; now an external auditor evaluates the result and either certifies, requires changes, or raises follow-up findings. This stage runs that relationship to a resolved outcome.\n\n## Scope\n\nCoordinating the auditor relationship and resolving findings — schedule the audit, hand over evidence in the requested format, respond to inquiries, and drive every finding to closure. Certify owns *the external attestation process and finding resolution* — it does not re-run the upstream assessment or remediation, though it may surface a finding that sends work back there.\n\n## What to do\n\n- Submit evidence in the auditor's requested format and anticipate the follow-up questions before they're asked.\n- Give every auditor finding a tracked resolution path: root-cause plus remediation evidence, or documented risk acceptance.\n- Treat the external auditor's decision as the authoritative signal; align internal stakeholders before that conversation, not during it.\n- Record what was submitted, what came back, and how each finding was resolved.\n\n## What NOT to do\n\n- Don't re-do the assessment or re-author remediations inline — route a substantive finding back to the stage that owns it.\n- Don't reformat or re-collect the evidence package from scratch — that was the document stage's job.\n- Don't substitute a local sign-off for the external attestation; the auditor's decision is the whole point of this stage.\n- Don't leave a finding without an owned, tracked resolution.\n",
+          "stageMd": "---\nname: certify\ndescription: Prepare for and support external audit, address findings\noptional: true\nhats: [audit-liaison, finding-resolver, verifier]\nfix_hats: [classifier, audit-liaison, feedback-assessor]\nreview: [external, await]\nelaboration: autonomous\ninputs:\n  - stage: document\n    discovery: evidence-package\nreview-agents-include:\n  - stage: assess\n    agents: [thoroughness]\n  - stage: remediate\n    agents: [effectiveness]\n---\n\n# Certify\n\nThe external-audit stage and the terminus of the compliance lifecycle. The internal work has produced scope, findings, remediations, and an evidence package; now an external auditor evaluates the result and either certifies, requires changes, or raises follow-up findings. This stage runs that relationship to a resolved outcome.\n\n## Scope\n\nCoordinating the auditor relationship and resolving findings — schedule the audit, hand over evidence in the requested format, respond to inquiries, and drive every finding to closure. Certify owns *the external attestation process and finding resolution* — it does not re-run the upstream assessment or remediation, though it may surface a finding that sends work back there.\n\n## What to do\n\n- Submit evidence in the auditor's requested format and anticipate the follow-up questions before they're asked.\n- Give every auditor finding a tracked resolution path: root-cause plus remediation evidence, or documented risk acceptance.\n- Treat the external auditor's decision as the authoritative signal; align internal stakeholders before that conversation, not during it.\n- Record what was submitted, what came back, and how each finding was resolved.\n\n## What NOT to do\n\n- Don't re-do the assessment or re-author remediations inline — route a substantive finding back to the stage that owns it.\n- Don't reformat or re-collect the evidence package from scratch — that was the document stage's job.\n- Don't substitute a local sign-off for the external attestation; the auditor's decision is the whole point of this stage.\n- Don't leave a finding without an owned, tracked resolution.\n",
           "stagePath": "plugin/studios/compliance/stages/certify/STAGE.md",
           "hats": {
             "audit-liaison": {
@@ -829,6 +843,18 @@
         }
       },
       "operations": {},
+      "intentReviewAgents": {
+        "cross-stage-consistency": {
+          "content": "---\nmodel: opus\nscope: intent\ninterpretation: lens\n---\n**Mandate:** Verify the intent's artifacts are internally consistent across stages. You are the only reviewer that sees the whole intent at once — your job is to catch seams that per-stage reviewers miss.\n\n**Check:**\n- The agent **MUST** verify that each stage's outputs align with what upstream stages specified — no dropped requirements, no silent scope expansion\n- The agent **MUST** verify that naming is consistent across stages — a concept named one thing upstream should carry the same name downstream\n- The agent **MUST** verify that stages' declared outputs exist at the paths their unit frontmatter promised\n- The agent **MUST** verify that the stages collectively deliver the intent's stated goal (read `intent.md`) — partial delivery is a finding\n- The agent **MUST** verify that concerns raised by any stage's review were actually addressed (not silently ignored)\n\n**Anti-patterns (RFC 2119):**\n- The agent **MUST NOT** re-litigate decisions already approved at each stage's gate\n- The agent **MUST NOT** propose new features or scope additions\n- The agent **MUST NOT** flag stylistic preferences — concrete divergence only\n",
+          "frontmatter": {
+            "model": "opus",
+            "scope": "intent",
+            "interpretation": "lens"
+          },
+          "body": "**Mandate:** Verify the intent's artifacts are internally consistent across stages. You are the only reviewer that sees the whole intent at once — your job is to catch seams that per-stage reviewers miss.\n\n**Check:**\n- The agent **MUST** verify that each stage's outputs align with what upstream stages specified — no dropped requirements, no silent scope expansion\n- The agent **MUST** verify that naming is consistent across stages — a concept named one thing upstream should carry the same name downstream\n- The agent **MUST** verify that stages' declared outputs exist at the paths their unit frontmatter promised\n- The agent **MUST** verify that the stages collectively deliver the intent's stated goal (read `intent.md`) — partial delivery is a finding\n- The agent **MUST** verify that concerns raised by any stage's review were actually addressed (not silently ignored)\n\n**Anti-patterns (RFC 2119):**\n- The agent **MUST NOT** re-litigate decisions already approved at each stage's gate\n- The agent **MUST NOT** propose new features or scope additions\n- The agent **MUST NOT** flag stylistic preferences — concrete divergence only\n",
+          "path": "plugin/studios/customer-success/intent-review-agents/cross-stage-consistency.md"
+        }
+      },
       "templates": {
         "new-customer-onboarding": {
           "content": "---\nname: new-customer-onboarding\nstudio: customer-success\ndescription: Onboard a new customer from kickoff through initial value realization\nparameters:\n  - name: company\n    description: Customer company name\n    required: true\n  - name: deal_context\n    description: Link to deal context from sales handoff\n    required: false\n  - name: tier\n    description: \"Customer tier: enterprise, growth, starter\"\n    required: false\n    default: growth\nunits:\n  - name: \"technical-setup\"\n    stage: onboarding\n    criteria:\n      - \"{{ company }} environment provisioned and accessible\"\n      - \"SSO/auth configured and tested\"\n      - \"Data migration completed (if applicable)\"\n  - name: \"kickoff\"\n    stage: onboarding\n    criteria:\n      - \"Kickoff meeting completed with key stakeholders\"\n      - \"Success milestones agreed and documented\"\n      - \"Training schedule established\"\n  - name: \"feature-adoption\"\n    stage: adoption\n    criteria:\n      - \"Core features activated by at least 3 users\"\n      - \"Usage reaches baseline threshold for {{ tier }} tier\"\n      - \"First business outcome achieved\"\n  - name: \"health-baseline\"\n    stage: health-check\n    criteria:\n      - \"Health score established with baseline metrics\"\n      - \"Account risk factors assessed\"\n      - \"Quarterly review cadence confirmed\"\n---\n\nStandard onboarding for new customers. Typically triggered by a sales deal close.\n",
@@ -944,6 +970,7 @@
           "frontmatter": {
             "name": "onboarding",
             "description": "Guide new customers through setup, training, and initial value realization",
+            "optional": true,
             "hats": [
               "onboarding-lead",
               "technical-enabler",
@@ -958,7 +985,7 @@
             "elaboration": "collaborative",
             "inputs": []
           },
-          "stageMd": "---\nname: onboarding\ndescription: Guide new customers through setup, training, and initial value realization\nhats: [onboarding-lead, technical-enabler, verifier]\nfix_hats: [classifier, onboarding-lead, feedback-assessor]\nreview: ask\nelaboration: collaborative\ninputs: []\n---\n\n# Onboarding\n\nThe opening stage of the customer-success lifecycle: take a newly closed customer from contract signature to first realized value. This is where the sales handoff becomes a working deployment and a customer who has seen the product deliver.\n\n## Scope\n\nStanding the customer up and proving initial value: setup, integration, training, and the first milestones that demonstrate the product works for them. Onboarding decides *what first value means and how to reach it* — it does not drive ongoing usage growth (adoption) or assess account health (health-check).\n\n## What to do\n\n- Read the sales handoff — commitments, stakeholders, success criteria — and define \"initial value\" in concrete, measurable terms.\n- Sequence the onboarding milestones with an owner and an acceptance signal for each step.\n- Execute the technical workstream end to end — integration, data migration, environment validation — and confirm the deployed configuration actually works.\n- Capture what was configured and why, so the next stage and the customer's own team can build on it.\n\n## What NOT to do\n\n- Don't drive ongoing adoption plays or feature expansion — that's the adoption stage.\n- Don't assess churn risk or account health — that's health-check.\n- Don't declare a milestone reached without a verifiable acceptance signal.\n- Don't leave a setup step assumed-done; an unconfirmed configuration surfaces as a defect after handoff.\n",
+          "stageMd": "---\nname: onboarding\ndescription: Guide new customers through setup, training, and initial value realization\noptional: true\nhats: [onboarding-lead, technical-enabler, verifier]\nfix_hats: [classifier, onboarding-lead, feedback-assessor]\nreview: ask\nelaboration: collaborative\ninputs: []\n---\n\n# Onboarding\n\nThe opening stage of the customer-success lifecycle: take a newly closed customer from contract signature to first realized value. This is where the sales handoff becomes a working deployment and a customer who has seen the product deliver.\n\n## Scope\n\nStanding the customer up and proving initial value: setup, integration, training, and the first milestones that demonstrate the product works for them. Onboarding decides *what first value means and how to reach it* — it does not drive ongoing usage growth (adoption) or assess account health (health-check).\n\n## What to do\n\n- Read the sales handoff — commitments, stakeholders, success criteria — and define \"initial value\" in concrete, measurable terms.\n- Sequence the onboarding milestones with an owner and an acceptance signal for each step.\n- Execute the technical workstream end to end — integration, data migration, environment validation — and confirm the deployed configuration actually works.\n- Capture what was configured and why, so the next stage and the customer's own team can build on it.\n\n## What NOT to do\n\n- Don't drive ongoing adoption plays or feature expansion — that's the adoption stage.\n- Don't assess churn risk or account health — that's health-check.\n- Don't declare a milestone reached without a verifiable acceptance signal.\n- Don't leave a setup step assumed-done; an unconfirmed configuration surfaces as a defect after handoff.\n",
           "stagePath": "plugin/studios/customer-success/stages/onboarding/STAGE.md",
           "hats": {
             "onboarding-lead": {
@@ -1023,6 +1050,7 @@
           "frontmatter": {
             "name": "adoption",
             "description": "Drive product adoption, usage patterns, and feature discovery",
+            "optional": true,
             "hats": [
               "adoption-coach",
               "usage-analyst",
@@ -1042,7 +1070,7 @@
               }
             ]
           },
-          "stageMd": "---\nname: adoption\ndescription: Drive product adoption, usage patterns, and feature discovery\nhats: [adoption-coach, usage-analyst, verifier]\nfix_hats: [classifier, adoption-coach, feedback-assessor]\nreview: auto\nelaboration: autonomous\ninputs:\n  - stage: onboarding\n    discovery: onboarding-report\n---\n\n# Adoption\n\nDrive deeper, more durable use of the product once the customer is live. This stage takes the onboarding handoff and works the gap between \"deployed\" and \"genuinely relied upon\" — moving features, workflows, and personas from low use to meaningful use.\n\n## Scope\n\nDesigning adoption plays tied to business outcomes and measuring whether use actually moves. Adoption decides *how to grow use of what's already deployed* — it does not stand up new onboarding workstreams (onboarding) or judge overall account health and churn risk (health-check).\n\n## What to do\n\n- Read the onboarding report and any prior usage signals to pick the adoption play worth running.\n- Tie each play to a specific business outcome, not to activity for its own sake.\n- Instrument the play and pull the real usage signal — baseline, target, and the gap between them.\n- Ground every claim about adoption in observed usage, not in expected behavior.\n\n## What NOT to do\n\n- Don't redo onboarding setup or technical enablement — that's the onboarding stage.\n- Don't score account health or author mitigation plans — that's health-check.\n- Don't report engagement that isn't connected to a meaningful outcome.\n- Don't call a play successful without a measured before-and-after.\n",
+          "stageMd": "---\nname: adoption\ndescription: Drive product adoption, usage patterns, and feature discovery\noptional: true\nhats: [adoption-coach, usage-analyst, verifier]\nfix_hats: [classifier, adoption-coach, feedback-assessor]\nreview: auto\nelaboration: autonomous\ninputs:\n  - stage: onboarding\n    discovery: onboarding-report\n---\n\n# Adoption\n\nDrive deeper, more durable use of the product once the customer is live. This stage takes the onboarding handoff and works the gap between \"deployed\" and \"genuinely relied upon\" — moving features, workflows, and personas from low use to meaningful use.\n\n## Scope\n\nDesigning adoption plays tied to business outcomes and measuring whether use actually moves. Adoption decides *how to grow use of what's already deployed* — it does not stand up new onboarding workstreams (onboarding) or judge overall account health and churn risk (health-check).\n\n## What to do\n\n- Read the onboarding report and any prior usage signals to pick the adoption play worth running.\n- Tie each play to a specific business outcome, not to activity for its own sake.\n- Instrument the play and pull the real usage signal — baseline, target, and the gap between them.\n- Ground every claim about adoption in observed usage, not in expected behavior.\n\n## What NOT to do\n\n- Don't redo onboarding setup or technical enablement — that's the onboarding stage.\n- Don't score account health or author mitigation plans — that's health-check.\n- Don't report engagement that isn't connected to a meaningful outcome.\n- Don't call a play successful without a measured before-and-after.\n",
           "stagePath": "plugin/studios/customer-success/stages/adoption/STAGE.md",
           "hats": {
             "adoption-coach": {
@@ -1191,6 +1219,7 @@
           "frontmatter": {
             "name": "expansion",
             "description": "Identify and pursue upsell/cross-sell opportunities",
+            "optional": true,
             "hats": [
               "growth-strategist",
               "value-consultant",
@@ -1213,7 +1242,7 @@
               }
             ]
           },
-          "stageMd": "---\nname: expansion\ndescription: Identify and pursue upsell/cross-sell opportunities\nhats: [growth-strategist, value-consultant, verifier]\nfix_hats: [classifier, growth-strategist, feedback-assessor]\nreview: [ask, await]\nelaboration: collaborative\ninputs:\n  - stage: health-check\n    discovery: health-report\n---\n\n# Expansion\n\nIdentify, qualify, and build the case for growth — upsell, cross-sell, additional seats, premium tiers — grounded in the account's demonstrated health and value. This stage turns \"this account is healthy\" into \"here is the specific, defensible reason it should grow.\"\n\n## Scope\n\nQualifying expansion paths and building the business case behind each one. Expansion decides *which growth opportunities are real and why now* — it does not assess whether the account is healthy enough to pursue (health-check) or run the renewal negotiation that lands the commitment (renewal).\n\n## What to do\n\n- Use the health report to qualify only paths the account is actually ready for.\n- For each path, name who buys, why now, what gap it closes, and the signals that confirm or refute fit.\n- Build the business case on the customer's own data — an ROI model with explicit assumptions and a defensible revenue estimate.\n- Tailor the value narrative to the stakeholders who have to say yes.\n\n## What NOT to do\n\n- Don't re-score account health or invent signals the health-check stage didn't establish.\n- Don't run the renewal negotiation or set concession terms — that's the renewal stage.\n- Don't pursue a path the account's health doesn't support.\n- Don't ship a revenue estimate the customer's own data can't defend.\n",
+          "stageMd": "---\nname: expansion\ndescription: Identify and pursue upsell/cross-sell opportunities\noptional: true\nhats: [growth-strategist, value-consultant, verifier]\nfix_hats: [classifier, growth-strategist, feedback-assessor]\nreview: [ask, await]\nelaboration: collaborative\ninputs:\n  - stage: health-check\n    discovery: health-report\n---\n\n# Expansion\n\nIdentify, qualify, and build the case for growth — upsell, cross-sell, additional seats, premium tiers — grounded in the account's demonstrated health and value. This stage turns \"this account is healthy\" into \"here is the specific, defensible reason it should grow.\"\n\n## Scope\n\nQualifying expansion paths and building the business case behind each one. Expansion decides *which growth opportunities are real and why now* — it does not assess whether the account is healthy enough to pursue (health-check) or run the renewal negotiation that lands the commitment (renewal).\n\n## What to do\n\n- Use the health report to qualify only paths the account is actually ready for.\n- For each path, name who buys, why now, what gap it closes, and the signals that confirm or refute fit.\n- Build the business case on the customer's own data — an ROI model with explicit assumptions and a defensible revenue estimate.\n- Tailor the value narrative to the stakeholders who have to say yes.\n\n## What NOT to do\n\n- Don't re-score account health or invent signals the health-check stage didn't establish.\n- Don't run the renewal negotiation or set concession terms — that's the renewal stage.\n- Don't pursue a path the account's health doesn't support.\n- Don't ship a revenue estimate the customer's own data can't defend.\n",
           "stagePath": "plugin/studios/customer-success/stages/expansion/STAGE.md",
           "hats": {
             "growth-strategist": {
@@ -1278,6 +1307,7 @@
           "frontmatter": {
             "name": "renewal",
             "description": "Prepare renewal strategy, negotiate terms, and secure commitment",
+            "optional": true,
             "hats": [
               "renewal-manager",
               "executive-sponsor",
@@ -1300,7 +1330,7 @@
               }
             ]
           },
-          "stageMd": "---\nname: renewal\ndescription: Prepare renewal strategy, negotiate terms, and secure commitment\nhats: [renewal-manager, executive-sponsor, verifier]\nfix_hats: [classifier, renewal-manager, feedback-assessor]\nreview: [external, await]\nelaboration: collaborative\ninputs:\n  - stage: expansion\n    discovery: opportunity-brief\n---\n\n# Renewal\n\nThe terminal stage of the customer-success lifecycle: convert the account's realized value and qualified expansion paths into a committed renewal. This is where the studio's work becomes a strategy for the actual customer-facing renewal conversation.\n\n## Scope\n\nBuilding the renewal narrative, the negotiation strategy, and the executive engagement that secures the commitment. Renewal decides *how to run the renewal motion and what terms to hold* — it does not qualify new expansion opportunities (expansion) or read account health from scratch (health-check).\n\n## What to do\n\n- Build the renewal narrative from the account's value-realization signals: where they started, what they achieved, where they can go next.\n- Set the negotiation strategy explicitly — concession boundaries and walk-away conditions named up front.\n- Anticipate objections and layer the executive-level engagement the renewal actually calls for.\n- Treat the customer's renewal decision and any internal commercial sign-off as the authoritative close.\n\n## What NOT to do\n\n- Don't open new expansion qualification — carry forward what the expansion stage already built.\n- Don't re-derive account health; the renewal motion assumes the upstream read.\n- Don't enter the negotiation without concession boundaries and a walk-away line.\n- Don't treat the strategy as the outcome; it sets up a conversation that closes outside the workflow.\n",
+          "stageMd": "---\nname: renewal\ndescription: Prepare renewal strategy, negotiate terms, and secure commitment\noptional: true\nhats: [renewal-manager, executive-sponsor, verifier]\nfix_hats: [classifier, renewal-manager, feedback-assessor]\nreview: [external, await]\nelaboration: collaborative\ninputs:\n  - stage: expansion\n    discovery: opportunity-brief\n---\n\n# Renewal\n\nThe terminal stage of the customer-success lifecycle: convert the account's realized value and qualified expansion paths into a committed renewal. This is where the studio's work becomes a strategy for the actual customer-facing renewal conversation.\n\n## Scope\n\nBuilding the renewal narrative, the negotiation strategy, and the executive engagement that secures the commitment. Renewal decides *how to run the renewal motion and what terms to hold* — it does not qualify new expansion opportunities (expansion) or read account health from scratch (health-check).\n\n## What to do\n\n- Build the renewal narrative from the account's value-realization signals: where they started, what they achieved, where they can go next.\n- Set the negotiation strategy explicitly — concession boundaries and walk-away conditions named up front.\n- Anticipate objections and layer the executive-level engagement the renewal actually calls for.\n- Treat the customer's renewal decision and any internal commercial sign-off as the authoritative close.\n\n## What NOT to do\n\n- Don't open new expansion qualification — carry forward what the expansion stage already built.\n- Don't re-derive account health; the renewal motion assumes the upstream read.\n- Don't enter the negotiation without concession boundaries and a walk-away line.\n- Don't treat the strategy as the outcome; it sets up a conversation that closes outside the workflow.\n",
           "stagePath": "plugin/studios/customer-success/stages/renewal/STAGE.md",
           "hats": {
             "executive-sponsor": {
@@ -1408,6 +1438,18 @@
         }
       },
       "operations": {},
+      "intentReviewAgents": {
+        "cross-stage-consistency": {
+          "content": "---\nmodel: opus\nscope: intent\ninterpretation: lens\n---\n**Mandate:** Verify the intent's artifacts are internally consistent across stages. You are the only reviewer that sees the whole intent at once — your job is to catch seams that per-stage reviewers miss.\n\n**Check:**\n- The agent **MUST** verify that each stage's outputs align with what upstream stages specified — no dropped requirements, no silent scope expansion\n- The agent **MUST** verify that naming is consistent across stages — a concept named one thing upstream should carry the same name downstream\n- The agent **MUST** verify that stages' declared outputs exist at the paths their unit frontmatter promised\n- The agent **MUST** verify that the stages collectively deliver the intent's stated goal (read `intent.md`) — partial delivery is a finding\n- The agent **MUST** verify that concerns raised by any stage's review were actually addressed (not silently ignored)\n\n**Anti-patterns (RFC 2119):**\n- The agent **MUST NOT** re-litigate decisions already approved at each stage's gate\n- The agent **MUST NOT** propose new features or scope additions\n- The agent **MUST NOT** flag stylistic preferences — concrete divergence only\n",
+          "frontmatter": {
+            "model": "opus",
+            "scope": "intent",
+            "interpretation": "lens"
+          },
+          "body": "**Mandate:** Verify the intent's artifacts are internally consistent across stages. You are the only reviewer that sees the whole intent at once — your job is to catch seams that per-stage reviewers miss.\n\n**Check:**\n- The agent **MUST** verify that each stage's outputs align with what upstream stages specified — no dropped requirements, no silent scope expansion\n- The agent **MUST** verify that naming is consistent across stages — a concept named one thing upstream should carry the same name downstream\n- The agent **MUST** verify that stages' declared outputs exist at the paths their unit frontmatter promised\n- The agent **MUST** verify that the stages collectively deliver the intent's stated goal (read `intent.md`) — partial delivery is a finding\n- The agent **MUST** verify that concerns raised by any stage's review were actually addressed (not silently ignored)\n\n**Anti-patterns (RFC 2119):**\n- The agent **MUST NOT** re-litigate decisions already approved at each stage's gate\n- The agent **MUST NOT** propose new features or scope additions\n- The agent **MUST NOT** flag stylistic preferences — concrete divergence only\n",
+          "path": "plugin/studios/data-pipeline/intent-review-agents/cross-stage-consistency.md"
+        }
+      },
       "templates": {},
       "examples": {},
       "preIntents": {
@@ -1595,6 +1637,7 @@
           "frontmatter": {
             "name": "transformation",
             "description": "Transform and model data for the target schema",
+            "optional": true,
             "hats": [
               "transformer",
               "data-modeler",
@@ -1614,7 +1657,7 @@
               }
             ]
           },
-          "stageMd": "---\nname: transformation\ndescription: Transform and model data for the target schema\nhats: [transformer, data-modeler, verifier]\nfix_hats: [classifier, transformer, feedback-assessor]\nreview: ask\nelaboration: autonomous\ninputs:\n  - stage: extraction\n    discovery: staged-data\n---\n\n# Transformation\n\nConvert raw staged data into the modeled, queryable shape the analytical consumers actually need. This stage owns the target data model and the code that materializes it — it's where the pipeline's business meaning is encoded.\n\n## Scope\n\nDefining the target model — grain, surrogate keys, SCD strategy, business-rule encoding — and writing the transformation code that produces it. Transformation decides *what the modeled data is and how it's computed* — it does not extract data into staging (extraction) or test the result (validation).\n\n## What to do\n\n- Define each model's grain, columns, surrogate key, SCD type, and primary query access patterns before writing transformation code.\n- Materialize models from staged sources with idempotency and explicit type handling.\n- Keep all business logic inside the models; logic that leaks elsewhere is drift downstream reviewers will hunt for.\n- Favor named intermediate steps over deep subquery nesting so the model stays legible.\n\n## What NOT to do\n\n- Don't build or re-run extraction connectors — that's the extraction stage.\n- Don't write the data-quality test suite — that's validation.\n- Don't reshape the source profile discovery established; if it's wrong, that's a revisit upstream.\n- Don't scatter business rules outside the model where consumers can't find or trust them.\n",
+          "stageMd": "---\nname: transformation\ndescription: Transform and model data for the target schema\noptional: true\nhats: [transformer, data-modeler, verifier]\nfix_hats: [classifier, transformer, feedback-assessor]\nreview: ask\nelaboration: autonomous\ninputs:\n  - stage: extraction\n    discovery: staged-data\n---\n\n# Transformation\n\nConvert raw staged data into the modeled, queryable shape the analytical consumers actually need. This stage owns the target data model and the code that materializes it — it's where the pipeline's business meaning is encoded.\n\n## Scope\n\nDefining the target model — grain, surrogate keys, SCD strategy, business-rule encoding — and writing the transformation code that produces it. Transformation decides *what the modeled data is and how it's computed* — it does not extract data into staging (extraction) or test the result (validation).\n\n## What to do\n\n- Define each model's grain, columns, surrogate key, SCD type, and primary query access patterns before writing transformation code.\n- Materialize models from staged sources with idempotency and explicit type handling.\n- Keep all business logic inside the models; logic that leaks elsewhere is drift downstream reviewers will hunt for.\n- Favor named intermediate steps over deep subquery nesting so the model stays legible.\n\n## What NOT to do\n\n- Don't build or re-run extraction connectors — that's the extraction stage.\n- Don't write the data-quality test suite — that's validation.\n- Don't reshape the source profile discovery established; if it's wrong, that's a revisit upstream.\n- Don't scatter business rules outside the model where consumers can't find or trust them.\n",
           "stagePath": "plugin/studios/data-pipeline/stages/transformation/STAGE.md",
           "hats": {
             "data-modeler": {
@@ -1747,6 +1790,7 @@
           "frontmatter": {
             "name": "deployment",
             "description": "Deploy pipelines to production with monitoring and alerting",
+            "optional": true,
             "hats": [
               "pipeline-engineer",
               "sre",
@@ -1780,7 +1824,7 @@
               }
             ]
           },
-          "stageMd": "---\nname: deployment\ndescription: Deploy pipelines to production with monitoring and alerting\nhats: [pipeline-engineer, sre, verifier]\nfix_hats: [classifier, pipeline-engineer, feedback-assessor]\nreview: external\nelaboration: autonomous\ninputs:\n  - stage: validation\n    discovery: validation-report\nreview-agents-include:\n  - stage: transformation\n    agents: [data-quality]\n  - stage: validation\n    agents: [coverage]\n---\n\n# Deployment\n\nThe terminal stage of the data-pipeline lifecycle: take the validated pipeline and put it into production. This is where the pipeline stops being code on a branch and becomes infrastructure other people depend on.\n\n## Scope\n\nOperationalizing the pipeline — orchestrator registration, schedule, resource sizing, alert routing, runbooks, and rollback plan. Deployment decides *how the pipeline runs and is operated in production* — it does not change transformation or validation logic; if either is wrong, that's a revisit upstream.\n\n## What to do\n\n- Package the pipeline for the orchestrator: schedule, dependency chain, retry / timeout policy, resource limits.\n- Route alerts to the right on-call channel and monitor both pipeline health and data freshness.\n- Write runbooks an unfamiliar engineer can actually follow, and a rollback plan for the first run.\n- Hold operational readiness — not just a successful execution — as the bar to ship.\n\n## What NOT to do\n\n- Don't modify transformation or validation logic — route a regression back to the stage that owns it.\n- Don't deploy a pipeline whose validation suite has unresolved blocking findings.\n- Don't treat a clean run as readiness; without alerting, monitoring, and rollback it isn't done.\n- Don't add scope the validated pipeline didn't already cover.\n",
+          "stageMd": "---\nname: deployment\ndescription: Deploy pipelines to production with monitoring and alerting\noptional: true\nhats: [pipeline-engineer, sre, verifier]\nfix_hats: [classifier, pipeline-engineer, feedback-assessor]\nreview: external\nelaboration: autonomous\ninputs:\n  - stage: validation\n    discovery: validation-report\nreview-agents-include:\n  - stage: transformation\n    agents: [data-quality]\n  - stage: validation\n    agents: [coverage]\n---\n\n# Deployment\n\nThe terminal stage of the data-pipeline lifecycle: take the validated pipeline and put it into production. This is where the pipeline stops being code on a branch and becomes infrastructure other people depend on.\n\n## Scope\n\nOperationalizing the pipeline — orchestrator registration, schedule, resource sizing, alert routing, runbooks, and rollback plan. Deployment decides *how the pipeline runs and is operated in production* — it does not change transformation or validation logic; if either is wrong, that's a revisit upstream.\n\n## What to do\n\n- Package the pipeline for the orchestrator: schedule, dependency chain, retry / timeout policy, resource limits.\n- Route alerts to the right on-call channel and monitor both pipeline health and data freshness.\n- Write runbooks an unfamiliar engineer can actually follow, and a rollback plan for the first run.\n- Hold operational readiness — not just a successful execution — as the bar to ship.\n\n## What NOT to do\n\n- Don't modify transformation or validation logic — route a regression back to the stage that owns it.\n- Don't deploy a pipeline whose validation suite has unresolved blocking findings.\n- Don't treat a clean run as readiness; without alerting, monitoring, and rollback it isn't done.\n- Don't add scope the validated pipeline didn't already cover.\n",
           "stagePath": "plugin/studios/data-pipeline/stages/deployment/STAGE.md",
           "hats": {
             "pipeline-engineer": {
@@ -1856,6 +1900,18 @@
       ],
       "reflections": {},
       "operations": {},
+      "intentReviewAgents": {
+        "cross-stage-consistency": {
+          "content": "---\nmodel: opus\nscope: intent\ninterpretation: lens\n---\n**Mandate:** Verify the intent's artifacts are internally consistent across stages. You are the only reviewer that sees the whole intent at once — your job is to catch seams that per-stage reviewers miss.\n\n**Check:**\n- The agent **MUST** verify that each stage's outputs align with what upstream stages specified — no dropped requirements, no silent scope expansion\n- The agent **MUST** verify that naming is consistent across stages — a concept named one thing upstream should carry the same name downstream\n- The agent **MUST** verify that stages' declared outputs exist at the paths their unit frontmatter promised\n- The agent **MUST** verify that the stages collectively deliver the intent's stated goal (read `intent.md`) — partial delivery is a finding\n- The agent **MUST** verify that concerns raised by any stage's review were actually addressed (not silently ignored)\n\n**Anti-patterns (RFC 2119):**\n- The agent **MUST NOT** re-litigate decisions already approved at each stage's gate\n- The agent **MUST NOT** propose new features or scope additions\n- The agent **MUST NOT** flag stylistic preferences — concrete divergence only\n",
+          "frontmatter": {
+            "model": "opus",
+            "scope": "intent",
+            "interpretation": "lens"
+          },
+          "body": "**Mandate:** Verify the intent's artifacts are internally consistent across stages. You are the only reviewer that sees the whole intent at once — your job is to catch seams that per-stage reviewers miss.\n\n**Check:**\n- The agent **MUST** verify that each stage's outputs align with what upstream stages specified — no dropped requirements, no silent scope expansion\n- The agent **MUST** verify that naming is consistent across stages — a concept named one thing upstream should carry the same name downstream\n- The agent **MUST** verify that stages' declared outputs exist at the paths their unit frontmatter promised\n- The agent **MUST** verify that the stages collectively deliver the intent's stated goal (read `intent.md`) — partial delivery is a finding\n- The agent **MUST** verify that concerns raised by any stage's review were actually addressed (not silently ignored)\n\n**Anti-patterns (RFC 2119):**\n- The agent **MUST NOT** re-litigate decisions already approved at each stage's gate\n- The agent **MUST NOT** propose new features or scope additions\n- The agent **MUST NOT** flag stylistic preferences — concrete divergence only\n",
+          "path": "plugin/studios/dev-evangelism/intent-review-agents/cross-stage-consistency.md"
+        }
+      },
       "templates": {},
       "examples": {},
       "preIntents": {
@@ -2177,6 +2233,7 @@
           "frontmatter": {
             "name": "publish",
             "description": "Distribute content across channels",
+            "optional": true,
             "hats": [
               "distributor",
               "community-manager",
@@ -2202,7 +2259,7 @@
               }
             ]
           },
-          "stageMd": "---\nname: publish\ndescription: Distribute content across channels\nhats: [distributor, community-manager, verifier]\nfix_hats: [classifier, distributor, feedback-assessor]\nreview: auto\nelaboration: autonomous\ninputs:\n  - stage: create\n    discovery: content-package\noutputs:\n  - discovery: distribution-log\n    hat: distributor\n---\n\n# Publish\n\nThe distribution stage of the dev-evangelism lifecycle: take the produced content package out to its channels and turn reach into conversation. Posting an asset and walking away gets reach without engagement; showing up in the threads and replies early is what turns reach into a conversation.\n\n## Scope\n\nMulti-channel distribution plus community seeding — adapting each asset to its channel's norms and engaging in the discussion that follows. Publish decides *where and how content goes out and how the first conversation is seeded* — it does not produce or rewrite content (create) or measure its impact (measure).\n\n## What to do\n\n- Adapt each asset to the channel's format, tone, and metadata norms rather than cross-posting identical copies.\n- Record every publish: timestamp, channel, URL, platform metadata, and active tracking.\n- Seed discussion in the relevant developer communities and respond in voice while interest is fresh.\n- Confirm tracking is live on each distribution before considering it done.\n\n## What NOT to do\n\n- Don't author or rewrite the content assets — that's the create stage.\n- Don't analyze engagement or recommend follow-ups — that's measure.\n- Don't post the same copy across channels without adapting it.\n- Don't log a publish without a working tracking link.\n",
+          "stageMd": "---\nname: publish\ndescription: Distribute content across channels\noptional: true\nhats: [distributor, community-manager, verifier]\nfix_hats: [classifier, distributor, feedback-assessor]\nreview: auto\nelaboration: autonomous\ninputs:\n  - stage: create\n    discovery: content-package\noutputs:\n  - discovery: distribution-log\n    hat: distributor\n---\n\n# Publish\n\nThe distribution stage of the dev-evangelism lifecycle: take the produced content package out to its channels and turn reach into conversation. Posting an asset and walking away gets reach without engagement; showing up in the threads and replies early is what turns reach into a conversation.\n\n## Scope\n\nMulti-channel distribution plus community seeding — adapting each asset to its channel's norms and engaging in the discussion that follows. Publish decides *where and how content goes out and how the first conversation is seeded* — it does not produce or rewrite content (create) or measure its impact (measure).\n\n## What to do\n\n- Adapt each asset to the channel's format, tone, and metadata norms rather than cross-posting identical copies.\n- Record every publish: timestamp, channel, URL, platform metadata, and active tracking.\n- Seed discussion in the relevant developer communities and respond in voice while interest is fresh.\n- Confirm tracking is live on each distribution before considering it done.\n\n## What NOT to do\n\n- Don't author or rewrite the content assets — that's the create stage.\n- Don't analyze engagement or recommend follow-ups — that's measure.\n- Don't post the same copy across channels without adapting it.\n- Don't log a publish without a working tracking link.\n",
           "stagePath": "plugin/studios/dev-evangelism/stages/publish/STAGE.md",
           "hats": {
             "community-manager": {
@@ -2267,6 +2324,7 @@
           "frontmatter": {
             "name": "measure",
             "description": "Track engagement, gather feedback, identify follow-up opportunities",
+            "optional": true,
             "hats": [
               "analyst",
               "feedback-synthesizer",
@@ -2292,7 +2350,7 @@
               }
             ]
           },
-          "stageMd": "---\nname: measure\ndescription: Track engagement, gather feedback, identify follow-up opportunities\nhats: [analyst, feedback-synthesizer, verifier]\nfix_hats: [classifier, analyst, feedback-assessor]\nreview: auto\nelaboration: autonomous\ninputs:\n  - stage: publish\n    discovery: distribution-log\noutputs:\n  - discovery: impact-report\n    hat: analyst\n---\n\n# Measure\n\nThe terminal stage of the dev-evangelism lifecycle: close the loop. Compare actuals to targets per channel, synthesize the qualitative feedback from community responses, and produce the prioritized follow-ups that seed the next intent.\n\n## Scope\n\nReading impact and recommending what comes next — quantitative deltas joined to qualitative themes. Measure decides *what the content actually achieved and what to do next* — it does not produce or republish content (create, publish). This is where vanity metrics die: impressions and likes with no connection to a meaningful outcome are noise.\n\n## What to do\n\n- Pull engagement per channel, compare actuals to targets, and name the drivers of over- and under-performance.\n- Filter vanity metrics out; keep what connects to a real outcome — signups, doc visits, code-sample copies, invites, recurring readership.\n- Gather community comments and replies, categorize the themes, and preserve representative quotes.\n- Ground every follow-up recommendation in both the numbers and the audience's own words.\n\n## What NOT to do\n\n- Don't produce, edit, or republish content — that's the create and publish stages.\n- Don't report a metric you can't tie to a meaningful outcome.\n- Don't synthesize feedback without keeping the representative quotes that back it.\n- Don't hand off follow-ups that aren't prioritized.\n",
+          "stageMd": "---\nname: measure\ndescription: Track engagement, gather feedback, identify follow-up opportunities\noptional: true\nhats: [analyst, feedback-synthesizer, verifier]\nfix_hats: [classifier, analyst, feedback-assessor]\nreview: auto\nelaboration: autonomous\ninputs:\n  - stage: publish\n    discovery: distribution-log\noutputs:\n  - discovery: impact-report\n    hat: analyst\n---\n\n# Measure\n\nThe terminal stage of the dev-evangelism lifecycle: close the loop. Compare actuals to targets per channel, synthesize the qualitative feedback from community responses, and produce the prioritized follow-ups that seed the next intent.\n\n## Scope\n\nReading impact and recommending what comes next — quantitative deltas joined to qualitative themes. Measure decides *what the content actually achieved and what to do next* — it does not produce or republish content (create, publish). This is where vanity metrics die: impressions and likes with no connection to a meaningful outcome are noise.\n\n## What to do\n\n- Pull engagement per channel, compare actuals to targets, and name the drivers of over- and under-performance.\n- Filter vanity metrics out; keep what connects to a real outcome — signups, doc visits, code-sample copies, invites, recurring readership.\n- Gather community comments and replies, categorize the themes, and preserve representative quotes.\n- Ground every follow-up recommendation in both the numbers and the audience's own words.\n\n## What NOT to do\n\n- Don't produce, edit, or republish content — that's the create and publish stages.\n- Don't report a metric you can't tie to a meaningful outcome.\n- Don't synthesize feedback without keeping the representative quotes that back it.\n- Don't hand off follow-ups that aren't prioritized.\n",
           "stagePath": "plugin/studios/dev-evangelism/stages/measure/STAGE.md",
           "hats": {
             "analyst": {
@@ -2387,6 +2445,26 @@
         }
       },
       "operations": {},
+      "intentReviewAgents": {
+        "cross-stage-consistency": {
+          "content": "---\nmodel: opus\nscope: intent\ninterpretation: lens\n---\n**Mandate:** Verify the intent's artifacts are internally consistent across stages. You are the only reviewer that sees the whole intent at once — your job is to catch seams that per-stage reviewers miss.\n\n**Check:**\n- The agent **MUST** verify that each stage's outputs align with what upstream stages specified — no dropped requirements, no silent scope expansion\n- The agent **MUST** verify that naming is consistent across stages — a concept named one thing upstream should carry the same name downstream\n- The agent **MUST** verify that stages' declared outputs exist at the paths their unit frontmatter promised\n- The agent **MUST** verify that the stages collectively deliver the intent's stated goal (read `intent.md`) — partial delivery is a finding\n- The agent **MUST** verify that concerns raised by any stage's review were actually addressed (not silently ignored)\n\n**Anti-patterns (RFC 2119):**\n- The agent **MUST NOT** re-litigate decisions already approved at each stage's gate\n- The agent **MUST NOT** propose new features or scope additions\n- The agent **MUST NOT** flag stylistic preferences — concrete divergence only\n",
+          "frontmatter": {
+            "model": "opus",
+            "scope": "intent",
+            "interpretation": "lens"
+          },
+          "body": "**Mandate:** Verify the intent's artifacts are internally consistent across stages. You are the only reviewer that sees the whole intent at once — your job is to catch seams that per-stage reviewers miss.\n\n**Check:**\n- The agent **MUST** verify that each stage's outputs align with what upstream stages specified — no dropped requirements, no silent scope expansion\n- The agent **MUST** verify that naming is consistent across stages — a concept named one thing upstream should carry the same name downstream\n- The agent **MUST** verify that stages' declared outputs exist at the paths their unit frontmatter promised\n- The agent **MUST** verify that the stages collectively deliver the intent's stated goal (read `intent.md`) — partial delivery is a finding\n- The agent **MUST** verify that concerns raised by any stage's review were actually addressed (not silently ignored)\n\n**Anti-patterns (RFC 2119):**\n- The agent **MUST NOT** re-litigate decisions already approved at each stage's gate\n- The agent **MUST NOT** propose new features or scope additions\n- The agent **MUST NOT** flag stylistic preferences — concrete divergence only\n",
+          "path": "plugin/studios/documentation/intent-review-agents/cross-stage-consistency.md"
+        },
+        "runtime-verifier": {
+          "content": "---\ninterpretation: lens\n---\n**Mandate:** The agent **MUST** be the reader's eyes at documentation intent close — render the entire published site (or the rendered final output for the project's chosen format) and verify the reader can actually navigate from entry point through the documented journey end to end. Per-page checks catch broken markdown; this lens catches the seams — broken cross-page navigation, search that doesn't find the new content, sitemap entries that were never added, the new section that's invisible because it's not linked from anywhere.\n\n**You pass ONLY if you actually observed it — `haiku_view` is the verification, not optional scaffolding.** This role's sign-off means \"I opened the live published surface with `haiku_view` and read/navigated the promised result with my own eyes.\" If `haiku_view` won't bring the surface up — the tool errors, the docs site won't boot, no render target is found — then you have observed **nothing**, and per the doctrine's verdict rules you **MUST** file a `BLOCKED` finding and **HOLD**. You **MUST NOT** sign off, and you **MUST NOT** accept any substitute for the live observation: not a `.haiku/boot.md` recipe, not a diagnosis, not green CI, not a closed blocker, not \"it should publish now.\" Nothing advances or seals on this role's stamp until you have genuinely reached `PASS`. Re-dispatched after a \"fix\"? Open and observe again from scratch — a fix that merely unblocked the site is not the journey passing. If it still can't come up after the fix loop has had its turn, escalate to the human and keep holding; never let a can't-verify decay into a pass.\n\n## Check\n\nPrefer `haiku_view({ intent: \"<this-intent>\", mode: \"boot\" })` to boot the docs site and drive the published surface. If no boot target detected, that's typically a finding for a documentation intent — the site should be runnable by close. Use the bundled `haiku-playwright` MCP. Call `browser_take_screenshot` at every meaningful step. **Save each screenshot** to disk under `.haiku/intents/<intent>/proof/<page-or-flow>-<step>.png` using the `Write` tool.\n\nThe agent **MUST** verify each of the following:\n\n- **The site builds and serves.** No build errors. The landing page renders. Search (when present) is indexed against the new content — a search for a heading the intent added MUST return that page.\n- **Navigation reaches every new page.** The intent's new pages MUST be discoverable from the site's primary navigation — sidebar, top nav, or a section index. A page that publishes but isn't linked from anywhere is functionally invisible.\n- **Cross-references between new and existing pages resolve.** Every link from a new page to an existing page lands on the existing page (not a 404 or a redirect to home). Every link from an existing page that was updated to reference new pages lands on the new pages.\n- **Sitemap / robots / SEO surface includes the new pages.** When the project publishes a sitemap.xml, the new pages are listed. Title and description meta-tags render. Social-card images load.\n- **The headline reader journey works end to end.** Pick the journey the intent set out to enable (\"a new user can install and run their first request in under five minutes,\" \"a developer can find the API reference for the new endpoint and copy a working example\"). Walk it through Playwright start to finish. Screenshot every step. A journey that breaks anywhere — broken link, missing section, search miss, copyable example that doesn't work when pasted — is the headline finding.\n- **Per-unit claims hold across every stage.** Walk every unit body across draft / outline / review / publish. Each unit's claimed deliverable MUST be visible in the published site, not just in the staged outputs at the time the unit closed.\n- **Close the session.** Call `haiku_view_close({ session_id })` after all checks complete.\n\n## Common failure modes to look for\n\n- New documentation pages that publish but never get added to the sidebar — discoverable only by direct URL guess\n- Search index that rebuilds on deploy but doesn't include the new pages because the search config has an explicit allow-list that wasn't updated\n- A documented `Quickstart` that worked when each step was reviewed in isolation but breaks end-to-end because step 3's command depends on step 2's output and step 2's output changed\n- Sitemap that lists 47 pages, page count after this intent should be 50, but it still says 47 because the build script hardcoded the count\n- A linked example repo that the docs reference no longer exists — the docs publish clean, the user follows the link, hits a 404\n",
+          "frontmatter": {
+            "interpretation": "lens"
+          },
+          "body": "**Mandate:** The agent **MUST** be the reader's eyes at documentation intent close — render the entire published site (or the rendered final output for the project's chosen format) and verify the reader can actually navigate from entry point through the documented journey end to end. Per-page checks catch broken markdown; this lens catches the seams — broken cross-page navigation, search that doesn't find the new content, sitemap entries that were never added, the new section that's invisible because it's not linked from anywhere.\n\n**You pass ONLY if you actually observed it — `haiku_view` is the verification, not optional scaffolding.** This role's sign-off means \"I opened the live published surface with `haiku_view` and read/navigated the promised result with my own eyes.\" If `haiku_view` won't bring the surface up — the tool errors, the docs site won't boot, no render target is found — then you have observed **nothing**, and per the doctrine's verdict rules you **MUST** file a `BLOCKED` finding and **HOLD**. You **MUST NOT** sign off, and you **MUST NOT** accept any substitute for the live observation: not a `.haiku/boot.md` recipe, not a diagnosis, not green CI, not a closed blocker, not \"it should publish now.\" Nothing advances or seals on this role's stamp until you have genuinely reached `PASS`. Re-dispatched after a \"fix\"? Open and observe again from scratch — a fix that merely unblocked the site is not the journey passing. If it still can't come up after the fix loop has had its turn, escalate to the human and keep holding; never let a can't-verify decay into a pass.\n\n## Check\n\nPrefer `haiku_view({ intent: \"<this-intent>\", mode: \"boot\" })` to boot the docs site and drive the published surface. If no boot target detected, that's typically a finding for a documentation intent — the site should be runnable by close. Use the bundled `haiku-playwright` MCP. Call `browser_take_screenshot` at every meaningful step. **Save each screenshot** to disk under `.haiku/intents/<intent>/proof/<page-or-flow>-<step>.png` using the `Write` tool.\n\nThe agent **MUST** verify each of the following:\n\n- **The site builds and serves.** No build errors. The landing page renders. Search (when present) is indexed against the new content — a search for a heading the intent added MUST return that page.\n- **Navigation reaches every new page.** The intent's new pages MUST be discoverable from the site's primary navigation — sidebar, top nav, or a section index. A page that publishes but isn't linked from anywhere is functionally invisible.\n- **Cross-references between new and existing pages resolve.** Every link from a new page to an existing page lands on the existing page (not a 404 or a redirect to home). Every link from an existing page that was updated to reference new pages lands on the new pages.\n- **Sitemap / robots / SEO surface includes the new pages.** When the project publishes a sitemap.xml, the new pages are listed. Title and description meta-tags render. Social-card images load.\n- **The headline reader journey works end to end.** Pick the journey the intent set out to enable (\"a new user can install and run their first request in under five minutes,\" \"a developer can find the API reference for the new endpoint and copy a working example\"). Walk it through Playwright start to finish. Screenshot every step. A journey that breaks anywhere — broken link, missing section, search miss, copyable example that doesn't work when pasted — is the headline finding.\n- **Per-unit claims hold across every stage.** Walk every unit body across draft / outline / review / publish. Each unit's claimed deliverable MUST be visible in the published site, not just in the staged outputs at the time the unit closed.\n- **Close the session.** Call `haiku_view_close({ session_id })` after all checks complete.\n\n## Common failure modes to look for\n\n- New documentation pages that publish but never get added to the sidebar — discoverable only by direct URL guess\n- Search index that rebuilds on deploy but doesn't include the new pages because the search config has an explicit allow-list that wasn't updated\n- A documented `Quickstart` that worked when each step was reviewed in isolation but breaks end-to-end because step 3's command depends on step 2's output and step 2's output changed\n- Sitemap that lists 47 pages, page count after this intent should be 50, but it still says 47 because the build script hardcoded the count\n- A linked example repo that the docs reference no longer exists — the docs publish clean, the user follows the link, hits a 404\n",
+          "path": "plugin/studios/documentation/intent-review-agents/runtime-verifier.md"
+        }
+      },
       "templates": {
         "api-documentation": {
           "content": "---\nname: api-documentation\nstudio: documentation\ndescription: Document a new or updated API\nparameters:\n  - name: api\n    description: API name or module being documented\n    required: true\n  - name: openapi_url\n    description: Link to OpenAPI spec if available\n    required: false\nunits:\n  - name: \"coverage-audit\"\n    stage: audit\n    criteria:\n      - \"All {{ api }} endpoints inventoried\"\n      - \"Existing documentation gaps identified\"\n      - \"Priority ranked by endpoint usage\"\n  - name: \"structure\"\n    stage: outline\n    criteria:\n      - \"Information architecture follows task-based organization\"\n      - \"Each endpoint has: description, parameters, examples, errors\"\n  - name: \"write\"\n    stage: draft\n    criteria:\n      - \"All endpoints documented with working code examples\"\n      - \"Authentication and error handling sections complete\"\n      - \"Examples tested against current API version\"\n  - name: \"review\"\n    stage: review\n    criteria:\n      - \"Technical accuracy verified against implementation\"\n      - \"Code examples compile and produce expected output\"\n      - \"No jargon without definition\"\n---\n\nAPI documentation from audit through publish.\n",
@@ -2495,6 +2573,7 @@
           "frontmatter": {
             "name": "audit",
             "description": "Assess existing documentation, identify gaps, and prioritize what to write or update",
+            "optional": true,
             "hats": [
               "auditor",
               "gap-analyst",
@@ -2509,7 +2588,7 @@
             "elaboration": "autonomous",
             "inputs": []
           },
-          "stageMd": "---\nname: audit\ndescription: Assess existing documentation, identify gaps, and prioritize what to write or update\nhats: [auditor, gap-analyst, verifier]\nfix_hats: [classifier, auditor, feedback-assessor]\nreview: auto\nelaboration: autonomous\ninputs: []\n---\n\n# Audit\n\nThe opening stage of the documentation lifecycle: take stock of the existing documentation surface and decide what's worth writing or updating, in what order. This is the research stage — its units are knowledge topics (\"what's the current state of the API reference?\", \"which flows lack docs?\"), not writing work.\n\n## Scope\n\nInventorying what documentation exists, judging its currency and accuracy, and ranking the gaps against what readers actually need. Audit decides *what to write and in what priority* — it does not design the structure (outline) or write any content (draft).\n\n## What to do\n\n- Inventory each documentation area and assess every item for currency and accuracy.\n- Identify gaps against real reader needs, not against an idealized table of contents.\n- Rank gaps by user impact, and recommend the doc type each gap calls for.\n- Ground each finding in the actual state of the docs, not in assumptions about them.\n\n## What NOT to do\n\n- Don't design the information architecture or sequence the docs — that's the outline stage.\n- Don't write prose, code samples, or visuals — that's draft.\n- Don't rank a gap without tying it to reader impact.\n- Don't flag an item as stale or accurate without checking it.\n",
+          "stageMd": "---\nname: audit\ndescription: Assess existing documentation, identify gaps, and prioritize what to write or update\noptional: true\nhats: [auditor, gap-analyst, verifier]\nfix_hats: [classifier, auditor, feedback-assessor]\nreview: auto\nelaboration: autonomous\ninputs: []\n---\n\n# Audit\n\nThe opening stage of the documentation lifecycle: take stock of the existing documentation surface and decide what's worth writing or updating, in what order. This is the research stage — its units are knowledge topics (\"what's the current state of the API reference?\", \"which flows lack docs?\"), not writing work.\n\n## Scope\n\nInventorying what documentation exists, judging its currency and accuracy, and ranking the gaps against what readers actually need. Audit decides *what to write and in what priority* — it does not design the structure (outline) or write any content (draft).\n\n## What to do\n\n- Inventory each documentation area and assess every item for currency and accuracy.\n- Identify gaps against real reader needs, not against an idealized table of contents.\n- Rank gaps by user impact, and recommend the doc type each gap calls for.\n- Ground each finding in the actual state of the docs, not in assumptions about them.\n\n## What NOT to do\n\n- Don't design the information architecture or sequence the docs — that's the outline stage.\n- Don't write prose, code samples, or visuals — that's draft.\n- Don't rank a gap without tying it to reader impact.\n- Don't flag an item as stale or accurate without checking it.\n",
           "stagePath": "plugin/studios/documentation/stages/audit/STAGE.md",
           "hats": {
             "auditor": {
@@ -2792,6 +2871,7 @@
           "frontmatter": {
             "name": "publish",
             "description": "Format, validate links, and publish the documentation",
+            "optional": true,
             "hats": [
               "format-planner",
               "publisher",
@@ -2823,7 +2903,7 @@
               }
             ]
           },
-          "stageMd": "---\nname: publish\ndescription: Format, validate links, and publish the documentation\nhats: [format-planner, publisher, verifier]\nfix_hats: [classifier, publisher, feedback-assessor]\nreview: auto\nelaboration: autonomous\ninputs:\n  - stage: draft\n    discovery: draft-documentation\n  - stage: review\n    discovery: review-report\nreview-agents-include:\n  - stage: draft\n    agents: [accuracy]\n---\n\n# Publish\n\nThe terminal stage of the documentation lifecycle: ship the reviewed draft to the docs platform, formatted to its conventions, with every link, code block, image, and cross-reference verified. This is where the invisible defects surface — broken links, malformed fences, missing alt text, stale anchors — and catching them here is cheaper than catching them at a reader's 404.\n\n## Scope\n\nFormatting to the platform, verifying every embedded reference, and recording the publish. Publish decides *how the content goes live and that it's intact on the platform* — it does not write or edit content (draft, review). Content defects route back upstream; this stage owns the mechanics of shipping.\n\n## What to do\n\n- Format the content to the platform's conventions — embed shapes, anchors, asset destinations.\n- Verify every link, code block, image, and cross-reference actually resolves.\n- Record the publish: canonical URL, version, and search-indexed timestamp.\n- Route a content or accuracy defect back to the stage that owns it rather than patching prose here.\n\n## What NOT to do\n\n- Don't rewrite prose or restructure content — that's the draft and review stages.\n- Don't re-litigate editorial or technical findings — they were resolved upstream.\n- Don't publish with a broken link, a malformed code block, or a missing asset.\n- Don't ship without a recorded publish artifact at the canonical URL.\n",
+          "stageMd": "---\nname: publish\ndescription: Format, validate links, and publish the documentation\noptional: true\nhats: [format-planner, publisher, verifier]\nfix_hats: [classifier, publisher, feedback-assessor]\nreview: auto\nelaboration: autonomous\ninputs:\n  - stage: draft\n    discovery: draft-documentation\n  - stage: review\n    discovery: review-report\nreview-agents-include:\n  - stage: draft\n    agents: [accuracy]\n---\n\n# Publish\n\nThe terminal stage of the documentation lifecycle: ship the reviewed draft to the docs platform, formatted to its conventions, with every link, code block, image, and cross-reference verified. This is where the invisible defects surface — broken links, malformed fences, missing alt text, stale anchors — and catching them here is cheaper than catching them at a reader's 404.\n\n## Scope\n\nFormatting to the platform, verifying every embedded reference, and recording the publish. Publish decides *how the content goes live and that it's intact on the platform* — it does not write or edit content (draft, review). Content defects route back upstream; this stage owns the mechanics of shipping.\n\n## What to do\n\n- Format the content to the platform's conventions — embed shapes, anchors, asset destinations.\n- Verify every link, code block, image, and cross-reference actually resolves.\n- Record the publish: canonical URL, version, and search-indexed timestamp.\n- Route a content or accuracy defect back to the stage that owns it rather than patching prose here.\n\n## What NOT to do\n\n- Don't rewrite prose or restructure content — that's the draft and review stages.\n- Don't re-litigate editorial or technical findings — they were resolved upstream.\n- Don't publish with a broken link, a malformed code block, or a missing asset.\n- Don't ship without a recorded publish artifact at the canonical URL.\n",
           "stagePath": "plugin/studios/documentation/stages/publish/STAGE.md",
           "hats": {
             "format-planner": {
@@ -2899,6 +2979,18 @@
       ],
       "reflections": {},
       "operations": {},
+      "intentReviewAgents": {
+        "cross-stage-consistency": {
+          "content": "---\nmodel: opus\nscope: intent\ninterpretation: lens\n---\n**Mandate:** Verify the intent's artifacts are internally consistent across stages. You are the only reviewer that sees the whole intent at once — your job is to catch seams that per-stage reviewers miss.\n\n**Check:**\n- The agent **MUST** verify that each stage's outputs align with what upstream stages specified — no dropped requirements, no silent scope expansion\n- The agent **MUST** verify that naming is consistent across stages — a concept named one thing upstream should carry the same name downstream\n- The agent **MUST** verify that stages' declared outputs exist at the paths their unit frontmatter promised\n- The agent **MUST** verify that the stages collectively deliver the intent's stated goal (read `intent.md`) — partial delivery is a finding\n- The agent **MUST** verify that concerns raised by any stage's review were actually addressed (not silently ignored)\n\n**Anti-patterns (RFC 2119):**\n- The agent **MUST NOT** re-litigate decisions already approved at each stage's gate\n- The agent **MUST NOT** propose new features or scope additions\n- The agent **MUST NOT** flag stylistic preferences — concrete divergence only\n",
+          "frontmatter": {
+            "model": "opus",
+            "scope": "intent",
+            "interpretation": "lens"
+          },
+          "body": "**Mandate:** Verify the intent's artifacts are internally consistent across stages. You are the only reviewer that sees the whole intent at once — your job is to catch seams that per-stage reviewers miss.\n\n**Check:**\n- The agent **MUST** verify that each stage's outputs align with what upstream stages specified — no dropped requirements, no silent scope expansion\n- The agent **MUST** verify that naming is consistent across stages — a concept named one thing upstream should carry the same name downstream\n- The agent **MUST** verify that stages' declared outputs exist at the paths their unit frontmatter promised\n- The agent **MUST** verify that the stages collectively deliver the intent's stated goal (read `intent.md`) — partial delivery is a finding\n- The agent **MUST** verify that concerns raised by any stage's review were actually addressed (not silently ignored)\n\n**Anti-patterns (RFC 2119):**\n- The agent **MUST NOT** re-litigate decisions already approved at each stage's gate\n- The agent **MUST NOT** propose new features or scope additions\n- The agent **MUST NOT** flag stylistic preferences — concrete divergence only\n",
+          "path": "plugin/studios/executive-strategy/intent-review-agents/cross-stage-consistency.md"
+        }
+      },
       "templates": {},
       "examples": {},
       "preIntents": {
@@ -3291,6 +3383,7 @@
           "frontmatter": {
             "name": "communicate",
             "description": "Develop stakeholder communications and rollout plan",
+            "optional": true,
             "hats": [
               "communicator",
               "planner",
@@ -3310,7 +3403,7 @@
               }
             ]
           },
-          "stageMd": "---\nname: communicate\ndescription: Develop stakeholder communications and rollout plan\nhats: [communicator, planner, verifier]\nfix_hats: [classifier, communicator, feedback-assessor]\nreview: ask\nelaboration: autonomous\ninputs:\n  - stage: decide\n    discovery: decision-brief\n---\n\n# Communicate\n\nThe terminal stage of the executive-strategy lifecycle: turn the ratified decision into the artifacts that actually move the organization. A decision that isn't communicated well is a decision that gets unwound during execution.\n\n## Scope\n\nBuilding tailored messaging per stakeholder group, a sequenced rollout plan with named owners, and a FAQ that anticipates the hard questions before they're asked in public. Communicate decides *how the decision is conveyed and rolled out* — it does not make or revisit the decision (decide). One unit per stakeholder audience or rollout workstream.\n\n## What to do\n\n- Build the messaging framework: what we say, to whom, through which channel, anticipating their concerns.\n- Sequence the rollout with dependencies, named owners, measurable milestones, and contingency plans.\n- Keep the message consistent across audiences while tailoring it to each one's concerns.\n- Write a FAQ that gets ahead of the hard questions rather than reacting to them.\n\n## What NOT to do\n\n- Don't reopen or relitigate the decision — carry forward what the decide stage ratified.\n- Don't ship messaging that contradicts itself across audiences.\n- Don't sequence a rollout step without an owner and a measurable milestone.\n- Don't put words in the organization's mouth that the decision brief doesn't support.\n",
+          "stageMd": "---\nname: communicate\ndescription: Develop stakeholder communications and rollout plan\noptional: true\nhats: [communicator, planner, verifier]\nfix_hats: [classifier, communicator, feedback-assessor]\nreview: ask\nelaboration: autonomous\ninputs:\n  - stage: decide\n    discovery: decision-brief\n---\n\n# Communicate\n\nThe terminal stage of the executive-strategy lifecycle: turn the ratified decision into the artifacts that actually move the organization. A decision that isn't communicated well is a decision that gets unwound during execution.\n\n## Scope\n\nBuilding tailored messaging per stakeholder group, a sequenced rollout plan with named owners, and a FAQ that anticipates the hard questions before they're asked in public. Communicate decides *how the decision is conveyed and rolled out* — it does not make or revisit the decision (decide). One unit per stakeholder audience or rollout workstream.\n\n## What to do\n\n- Build the messaging framework: what we say, to whom, through which channel, anticipating their concerns.\n- Sequence the rollout with dependencies, named owners, measurable milestones, and contingency plans.\n- Keep the message consistent across audiences while tailoring it to each one's concerns.\n- Write a FAQ that gets ahead of the hard questions rather than reacting to them.\n\n## What NOT to do\n\n- Don't reopen or relitigate the decision — carry forward what the decide stage ratified.\n- Don't ship messaging that contradicts itself across audiences.\n- Don't sequence a rollout step without an owner and a measurable milestone.\n- Don't put words in the organization's mouth that the decision brief doesn't support.\n",
           "stagePath": "plugin/studios/executive-strategy/stages/communicate/STAGE.md",
           "hats": {
             "communicator": {
@@ -3386,6 +3479,18 @@
       ],
       "reflections": {},
       "operations": {},
+      "intentReviewAgents": {
+        "cross-stage-consistency": {
+          "content": "---\nmodel: opus\nscope: intent\ninterpretation: lens\n---\n**Mandate:** Verify the intent's artifacts are internally consistent across stages. You are the only reviewer that sees the whole intent at once — your job is to catch seams that per-stage reviewers miss.\n\n**Check:**\n- The agent **MUST** verify that each stage's outputs align with what upstream stages specified — no dropped requirements, no silent scope expansion\n- The agent **MUST** verify that naming is consistent across stages — a concept named one thing upstream should carry the same name downstream\n- The agent **MUST** verify that stages' declared outputs exist at the paths their unit frontmatter promised\n- The agent **MUST** verify that the stages collectively deliver the intent's stated goal (read `intent.md`) — partial delivery is a finding\n- The agent **MUST** verify that concerns raised by any stage's review were actually addressed (not silently ignored)\n\n**Anti-patterns (RFC 2119):**\n- The agent **MUST NOT** re-litigate decisions already approved at each stage's gate\n- The agent **MUST NOT** propose new features or scope additions\n- The agent **MUST NOT** flag stylistic preferences — concrete divergence only\n",
+          "frontmatter": {
+            "model": "opus",
+            "scope": "intent",
+            "interpretation": "lens"
+          },
+          "body": "**Mandate:** Verify the intent's artifacts are internally consistent across stages. You are the only reviewer that sees the whole intent at once — your job is to catch seams that per-stage reviewers miss.\n\n**Check:**\n- The agent **MUST** verify that each stage's outputs align with what upstream stages specified — no dropped requirements, no silent scope expansion\n- The agent **MUST** verify that naming is consistent across stages — a concept named one thing upstream should carry the same name downstream\n- The agent **MUST** verify that stages' declared outputs exist at the paths their unit frontmatter promised\n- The agent **MUST** verify that the stages collectively deliver the intent's stated goal (read `intent.md`) — partial delivery is a finding\n- The agent **MUST** verify that concerns raised by any stage's review were actually addressed (not silently ignored)\n\n**Anti-patterns (RFC 2119):**\n- The agent **MUST NOT** re-litigate decisions already approved at each stage's gate\n- The agent **MUST NOT** propose new features or scope additions\n- The agent **MUST NOT** flag stylistic preferences — concrete divergence only\n",
+          "path": "plugin/studios/finance/intent-review-agents/cross-stage-consistency.md"
+        }
+      },
       "templates": {},
       "examples": {},
       "preIntents": {
@@ -3434,6 +3539,7 @@
           "frontmatter": {
             "name": "forecast",
             "description": "Research market conditions and develop revenue projections",
+            "optional": true,
             "hats": [
               "analyst",
               "forecaster",
@@ -3448,7 +3554,7 @@
             "elaboration": "collaborative",
             "inputs": []
           },
-          "stageMd": "---\nname: forecast\ndescription: Research market conditions and develop revenue projections\nhats: [analyst, forecaster, verifier]\nfix_hats: [classifier, analyst, feedback-assessor]\nreview: ask\nelaboration: collaborative\ninputs: []\n---\n\n# Forecast\n\nThe opening stage of the finance cycle: ground the period in evidence and project where revenue and costs are headed. Every downstream stage — budget, analysis, reporting, close — anchors to the numbers and assumptions this stage establishes.\n\n## Scope\n\nRevenue and cost projection: the data foundation, the drivers, the scenarios, and the assumptions behind them. Forecast decides *what we expect to happen and why* — not how resources get allocated against it (budget), and not how actuals compare to it later (analysis).\n\n## What to do\n\n- Build the projection from named evidence — market signals, historical actuals, leading indicators — not from a desired outcome worked backward.\n- State every assumption explicitly so a later stage can challenge it on its own terms.\n- Lay out distinct scenarios (base, optimistic, pessimistic) with different driver assumptions, not one number with a confidence band stapled on.\n- Stress-test the drivers for sensitivity so the budget stage knows which inputs actually move the result.\n\n## What NOT to do\n\n- Don't allocate budget or set departmental targets — that's the budget stage's job.\n- Don't compare projections to actuals or attribute variance — there are no actuals yet; that belongs to analysis.\n- Don't bury an assumption inside a number; an unexamined driver here propagates through the whole cycle.\n- Don't present a single point estimate as if it were certainty.\n",
+          "stageMd": "---\nname: forecast\ndescription: Research market conditions and develop revenue projections\noptional: true\nhats: [analyst, forecaster, verifier]\nfix_hats: [classifier, analyst, feedback-assessor]\nreview: ask\nelaboration: collaborative\ninputs: []\n---\n\n# Forecast\n\nThe opening stage of the finance cycle: ground the period in evidence and project where revenue and costs are headed. Every downstream stage — budget, analysis, reporting, close — anchors to the numbers and assumptions this stage establishes.\n\n## Scope\n\nRevenue and cost projection: the data foundation, the drivers, the scenarios, and the assumptions behind them. Forecast decides *what we expect to happen and why* — not how resources get allocated against it (budget), and not how actuals compare to it later (analysis).\n\n## What to do\n\n- Build the projection from named evidence — market signals, historical actuals, leading indicators — not from a desired outcome worked backward.\n- State every assumption explicitly so a later stage can challenge it on its own terms.\n- Lay out distinct scenarios (base, optimistic, pessimistic) with different driver assumptions, not one number with a confidence band stapled on.\n- Stress-test the drivers for sensitivity so the budget stage knows which inputs actually move the result.\n\n## What NOT to do\n\n- Don't allocate budget or set departmental targets — that's the budget stage's job.\n- Don't compare projections to actuals or attribute variance — there are no actuals yet; that belongs to analysis.\n- Don't bury an assumption inside a number; an unexamined driver here propagates through the whole cycle.\n- Don't present a single point estimate as if it were certainty.\n",
           "stagePath": "plugin/studios/finance/stages/forecast/STAGE.md",
           "hats": {
             "analyst": {
@@ -3514,6 +3620,7 @@
           "frontmatter": {
             "name": "budget",
             "description": "Allocate resources and set financial targets",
+            "optional": true,
             "hats": [
               "budget-owner",
               "allocator",
@@ -3533,7 +3640,7 @@
               }
             ]
           },
-          "stageMd": "---\nname: budget\ndescription: Allocate resources and set financial targets\nhats: [budget-owner, allocator, verifier]\nfix_hats: [classifier, budget-owner, feedback-assessor]\nreview: external\nelaboration: collaborative\ninputs:\n  - stage: forecast\n    discovery: forecast-model\n---\n\n# Budget\n\nTurn the forecast into a resource allocation plan. This is where projected revenue becomes an envelope, and the envelope becomes concrete commitments by department, cost center, and line item — the operating plan the rest of the organization spends against.\n\n## Scope\n\nAllocation against the forecast: envelope sizing, departmental and cost-center splits, target levels with measurement criteria, and contingency reserves. Budget decides *how the projected resources get committed* — not what's projected (forecast), and not how actuals diverge from the plan later (analysis).\n\n## What to do\n\n- Size the envelope to the forecast's projected revenue, and trace every allocation back to a forecast driver.\n- Set targets concrete enough to be measured against, with stated measurement criteria.\n- Size contingency reserves from historical variance patterns, not from an arbitrary percentage.\n- Make the allocation rationale explicit so a reviewer can see why each slice got what it got.\n\n## What NOT to do\n\n- Don't reproject revenue or revise the forecast's drivers — consume the forecast as given; a wrong forecast is a revisit upstream.\n- Don't compare allocations to actual spend — there's no actual yet; that's analysis.\n- Don't allocate beyond the envelope or leave a department untraceable to a driver.\n- Don't pad reserves with round numbers in place of evidence.\n",
+          "stageMd": "---\nname: budget\ndescription: Allocate resources and set financial targets\noptional: true\nhats: [budget-owner, allocator, verifier]\nfix_hats: [classifier, budget-owner, feedback-assessor]\nreview: external\nelaboration: collaborative\ninputs:\n  - stage: forecast\n    discovery: forecast-model\n---\n\n# Budget\n\nTurn the forecast into a resource allocation plan. This is where projected revenue becomes an envelope, and the envelope becomes concrete commitments by department, cost center, and line item — the operating plan the rest of the organization spends against.\n\n## Scope\n\nAllocation against the forecast: envelope sizing, departmental and cost-center splits, target levels with measurement criteria, and contingency reserves. Budget decides *how the projected resources get committed* — not what's projected (forecast), and not how actuals diverge from the plan later (analysis).\n\n## What to do\n\n- Size the envelope to the forecast's projected revenue, and trace every allocation back to a forecast driver.\n- Set targets concrete enough to be measured against, with stated measurement criteria.\n- Size contingency reserves from historical variance patterns, not from an arbitrary percentage.\n- Make the allocation rationale explicit so a reviewer can see why each slice got what it got.\n\n## What NOT to do\n\n- Don't reproject revenue or revise the forecast's drivers — consume the forecast as given; a wrong forecast is a revisit upstream.\n- Don't compare allocations to actual spend — there's no actual yet; that's analysis.\n- Don't allocate beyond the envelope or leave a department untraceable to a driver.\n- Don't pad reserves with round numbers in place of evidence.\n",
           "stagePath": "plugin/studios/finance/stages/budget/STAGE.md",
           "hats": {
             "allocator": {
@@ -3766,6 +3873,7 @@
           "frontmatter": {
             "name": "close",
             "description": "Period close, reconciliation, and financial sign-off",
+            "optional": true,
             "hats": [
               "controller",
               "reconciler",
@@ -3789,7 +3897,7 @@
               }
             ]
           },
-          "stageMd": "---\nname: close\ndescription: Period close, reconciliation, and financial sign-off\nhats: [controller, reconciler, verifier]\nfix_hats: [classifier, controller, feedback-assessor]\nreview: external\nelaboration: autonomous\ninputs:\n  - stage: reporting\n    output: financial-reports\n  - stage: analysis\n    discovery: variance-report\n---\n\n# Close\n\nThe terminal stage of the finance cycle: lock the period. Reconcile every balance-sheet account, post the sub-ledger entries, eliminate intercompany balances, confirm cut-off, and record the controller's sign-off with any noted exceptions. This is an operational stage — its units are ordered close steps, not analytical workings.\n\n## Scope\n\nPeriod sign-off: reconciliation, adjusting entries, intercompany elimination, cut-off verification, and the close package that records the result. Close decides *whether the period's books are right and ready to lock* — not why the numbers came out as they did (analysis), and not how they're communicated (reporting).\n\n## What to do\n\n- Reconcile every balance-sheet account and tie the trial balance — leave no account unconfirmed.\n- Verify cut-off for revenue recognition and accrued expenses against stated cut-off rules.\n- Post adjusting entries with supporting documentation, and declare a rollback path for any step that isn't idempotent.\n- Record exceptions explicitly so anything unresolved carries forward as a known item, not a silent gap.\n\n## What NOT to do\n\n- Don't re-run analysis or rewrite the reports — consume them as the context for what to reconcile against.\n- Don't seal the period with an account unreconciled or a cut-off unverified.\n- Don't post an entry without documentation or a non-idempotent action without a rollback.\n- Don't bury an exception to make the close look clean.\n",
+          "stageMd": "---\nname: close\ndescription: Period close, reconciliation, and financial sign-off\noptional: true\nhats: [controller, reconciler, verifier]\nfix_hats: [classifier, controller, feedback-assessor]\nreview: external\nelaboration: autonomous\ninputs:\n  - stage: reporting\n    output: financial-reports\n  - stage: analysis\n    discovery: variance-report\n---\n\n# Close\n\nThe terminal stage of the finance cycle: lock the period. Reconcile every balance-sheet account, post the sub-ledger entries, eliminate intercompany balances, confirm cut-off, and record the controller's sign-off with any noted exceptions. This is an operational stage — its units are ordered close steps, not analytical workings.\n\n## Scope\n\nPeriod sign-off: reconciliation, adjusting entries, intercompany elimination, cut-off verification, and the close package that records the result. Close decides *whether the period's books are right and ready to lock* — not why the numbers came out as they did (analysis), and not how they're communicated (reporting).\n\n## What to do\n\n- Reconcile every balance-sheet account and tie the trial balance — leave no account unconfirmed.\n- Verify cut-off for revenue recognition and accrued expenses against stated cut-off rules.\n- Post adjusting entries with supporting documentation, and declare a rollback path for any step that isn't idempotent.\n- Record exceptions explicitly so anything unresolved carries forward as a known item, not a silent gap.\n\n## What NOT to do\n\n- Don't re-run analysis or rewrite the reports — consume them as the context for what to reconcile against.\n- Don't seal the period with an account unreconciled or a cut-off unverified.\n- Don't post an entry without documentation or a non-idempotent action without a rollback.\n- Don't bury an exception to make the close look clean.\n",
           "stagePath": "plugin/studios/finance/stages/close/STAGE.md",
           "hats": {
             "controller": {
@@ -3879,6 +3987,18 @@
       ],
       "reflections": {},
       "operations": {},
+      "intentReviewAgents": {
+        "cross-stage-consistency": {
+          "content": "---\nmodel: opus\nscope: intent\ninterpretation: lens\n---\n**Mandate:** Verify the intent's artifacts are internally consistent across stages. You are the only reviewer that sees the whole intent at once — your job is to catch seams that per-stage reviewers miss.\n\n**Check:**\n- The agent **MUST** verify that each stage's outputs align with what upstream stages specified — no dropped requirements, no silent scope expansion\n- The agent **MUST** verify that naming is consistent across stages — a concept named one thing upstream should carry the same name downstream\n- The agent **MUST** verify that stages' declared outputs exist at the paths their unit frontmatter promised\n- The agent **MUST** verify that the stages collectively deliver the intent's stated goal (read `intent.md`) — partial delivery is a finding\n- The agent **MUST** verify that concerns raised by any stage's review were actually addressed (not silently ignored)\n\n**Anti-patterns (RFC 2119):**\n- The agent **MUST NOT** re-litigate decisions already approved at each stage's gate\n- The agent **MUST NOT** propose new features or scope additions\n- The agent **MUST NOT** flag stylistic preferences — concrete divergence only\n",
+          "frontmatter": {
+            "model": "opus",
+            "scope": "intent",
+            "interpretation": "lens"
+          },
+          "body": "**Mandate:** Verify the intent's artifacts are internally consistent across stages. You are the only reviewer that sees the whole intent at once — your job is to catch seams that per-stage reviewers miss.\n\n**Check:**\n- The agent **MUST** verify that each stage's outputs align with what upstream stages specified — no dropped requirements, no silent scope expansion\n- The agent **MUST** verify that naming is consistent across stages — a concept named one thing upstream should carry the same name downstream\n- The agent **MUST** verify that stages' declared outputs exist at the paths their unit frontmatter promised\n- The agent **MUST** verify that the stages collectively deliver the intent's stated goal (read `intent.md`) — partial delivery is a finding\n- The agent **MUST** verify that concerns raised by any stage's review were actually addressed (not silently ignored)\n\n**Anti-patterns (RFC 2119):**\n- The agent **MUST NOT** re-litigate decisions already approved at each stage's gate\n- The agent **MUST NOT** propose new features or scope additions\n- The agent **MUST NOT** flag stylistic preferences — concrete divergence only\n",
+          "path": "plugin/studios/gamedev/intent-review-agents/cross-stage-consistency.md"
+        }
+      },
       "templates": {},
       "examples": {},
       "preIntents": {
@@ -4127,6 +4247,7 @@
           "frontmatter": {
             "name": "production",
             "description": "Content and systems at scale",
+            "optional": true,
             "produces": "build",
             "hats": [
               "gameplay-engineer",
@@ -4155,7 +4276,7 @@
               }
             ]
           },
-          "stageMd": "---\nname: production\ndescription: Content and systems at scale\nproduces: build\nhats: [gameplay-engineer, content-author, systems-designer, reviewer]\nfix_hats: [classifier, gameplay-engineer, feedback-assessor]\nreview: [external, ask]\nelaboration: collaborative\ninputs:\n  - stage: concept\n    discovery: concept-doc\n  - stage: prototype\n    output: prototype\n---\n\n# Production\n\nThe longest stage of the gamedev lifecycle by a wide margin: scale the validated prototype into the full game. Build out content, implement systems at production quality, integrate art and audio, and deliver every beat the concept doc promised. The prototype defines what counts as \"the game\"; production's job is to scale that, not to reinvent it.\n\n## Scope\n\nBuilding the game at scale: production-quality systems, the content the player experiences, and the art and audio integration that fills out the concept's promised beats. Production decides *how the proven game gets built out* — not whether the loop is fun (prototype already settled that), and not the final-quality feel and certification (polish and release).\n\n## What to do\n\n- Reimplement the validated core loop at production quality and build the systems content leans on.\n- Tune the interlocking systems — economies, progression, difficulty, meta-systems — at the math layer above individual mechanics.\n- Author the player-experienced content (levels, encounters, narrative beats, audio cues) against those systems.\n- Hold scope to the pillars and the prototype-proven loop; that's the load-bearing discipline of this stage.\n\n## What NOT to do\n\n- Don't invent new core mechanics — that's scope creep; defer it to a sequel or DLC unless it's cheap and load-bearing for an existing pillar.\n- Don't reopen the concept's pillars or the prototype's validated loop to fit something you'd rather build.\n- Don't treat final tuning, performance, and juice as in-scope here — that's polish.\n- Don't ship content that misses a pillar the concept promised.\n",
+          "stageMd": "---\nname: production\ndescription: Content and systems at scale\noptional: true\nproduces: build\nhats: [gameplay-engineer, content-author, systems-designer, reviewer]\nfix_hats: [classifier, gameplay-engineer, feedback-assessor]\nreview: [external, ask]\nelaboration: collaborative\ninputs:\n  - stage: concept\n    discovery: concept-doc\n  - stage: prototype\n    output: prototype\n---\n\n# Production\n\nThe longest stage of the gamedev lifecycle by a wide margin: scale the validated prototype into the full game. Build out content, implement systems at production quality, integrate art and audio, and deliver every beat the concept doc promised. The prototype defines what counts as \"the game\"; production's job is to scale that, not to reinvent it.\n\n## Scope\n\nBuilding the game at scale: production-quality systems, the content the player experiences, and the art and audio integration that fills out the concept's promised beats. Production decides *how the proven game gets built out* — not whether the loop is fun (prototype already settled that), and not the final-quality feel and certification (polish and release).\n\n## What to do\n\n- Reimplement the validated core loop at production quality and build the systems content leans on.\n- Tune the interlocking systems — economies, progression, difficulty, meta-systems — at the math layer above individual mechanics.\n- Author the player-experienced content (levels, encounters, narrative beats, audio cues) against those systems.\n- Hold scope to the pillars and the prototype-proven loop; that's the load-bearing discipline of this stage.\n\n## What NOT to do\n\n- Don't invent new core mechanics — that's scope creep; defer it to a sequel or DLC unless it's cheap and load-bearing for an existing pillar.\n- Don't reopen the concept's pillars or the prototype's validated loop to fit something you'd rather build.\n- Don't treat final tuning, performance, and juice as in-scope here — that's polish.\n- Don't ship content that misses a pillar the concept promised.\n",
           "stagePath": "plugin/studios/gamedev/stages/production/STAGE.md",
           "hats": {
             "content-author": {
@@ -4221,6 +4342,7 @@
           "frontmatter": {
             "name": "polish",
             "description": "Tuning, game feel, performance, bug triage, and juice",
+            "optional": true,
             "produces": "build",
             "hats": [
               "gameplay-engineer",
@@ -4245,7 +4367,7 @@
               }
             ]
           },
-          "stageMd": "---\nname: polish\ndescription: Tuning, game feel, performance, bug triage, and juice\nproduces: build\nhats: [gameplay-engineer, tuner, performance-engineer, qa]\nfix_hats: [classifier, gameplay-engineer, feedback-assessor]\nreview: [external, ask]\nelaboration: collaborative\ninputs:\n  - stage: production\n    output: game-build\n---\n\n# Polish\n\nThe stage that trades time for perceived quality: tune game feel, fix bugs, hit platform performance targets, and add the juice that makes a hit register and a pickup feel satisfying. Players can't articulate the difference between a great game and a polished great game, but they feel it — it's the difference between a 70 and an 85.\n\n## Scope\n\nRefinement of the existing build: feel tuning, bug fixing, performance optimization, and final audio/visual feedback. Polish decides *how good the finished game feels* — not what content exists (production already built it), and not how it ships (release). Nothing new gets added here.\n\n## What to do\n\n- Fix gameplay bugs and edge cases surfaced by playtests and QA; polish-phase engineering is reactive, not new construction.\n- Tune feel — timing, responsiveness, juice, pacing, difficulty curves — to close the gap between functional and great.\n- Optimize to meet platform performance targets: frame rate, load times, memory, thermals on handhelds and mobile.\n- Validate every fix on the actual build before treating a unit as polish-complete.\n\n## What NOT to do\n\n- Don't add new content — in polish it rarely ships at quality and almost always pushes the release date.\n- Don't reopen production-scope systems work or rebuild what production delivered.\n- Don't certify a fix you only verified on a dev build.\n- Don't carry an unresolved regression into release.\n",
+          "stageMd": "---\nname: polish\ndescription: Tuning, game feel, performance, bug triage, and juice\noptional: true\nproduces: build\nhats: [gameplay-engineer, tuner, performance-engineer, qa]\nfix_hats: [classifier, gameplay-engineer, feedback-assessor]\nreview: [external, ask]\nelaboration: collaborative\ninputs:\n  - stage: production\n    output: game-build\n---\n\n# Polish\n\nThe stage that trades time for perceived quality: tune game feel, fix bugs, hit platform performance targets, and add the juice that makes a hit register and a pickup feel satisfying. Players can't articulate the difference between a great game and a polished great game, but they feel it — it's the difference between a 70 and an 85.\n\n## Scope\n\nRefinement of the existing build: feel tuning, bug fixing, performance optimization, and final audio/visual feedback. Polish decides *how good the finished game feels* — not what content exists (production already built it), and not how it ships (release). Nothing new gets added here.\n\n## What to do\n\n- Fix gameplay bugs and edge cases surfaced by playtests and QA; polish-phase engineering is reactive, not new construction.\n- Tune feel — timing, responsiveness, juice, pacing, difficulty curves — to close the gap between functional and great.\n- Optimize to meet platform performance targets: frame rate, load times, memory, thermals on handhelds and mobile.\n- Validate every fix on the actual build before treating a unit as polish-complete.\n\n## What NOT to do\n\n- Don't add new content — in polish it rarely ships at quality and almost always pushes the release date.\n- Don't reopen production-scope systems work or rebuild what production delivered.\n- Don't certify a fix you only verified on a dev build.\n- Don't carry an unresolved regression into release.\n",
           "stagePath": "plugin/studios/gamedev/stages/polish/STAGE.md",
           "hats": {
             "gameplay-engineer": {
@@ -4311,6 +4433,7 @@
           "frontmatter": {
             "name": "release",
             "description": "Storefront submission, platform certification, and patch pipeline",
+            "optional": true,
             "hats": [
               "release-engineer",
               "platform-cert-specialist",
@@ -4330,7 +4453,7 @@
               }
             ]
           },
-          "stageMd": "---\nname: release\ndescription: Storefront submission, platform certification, and patch pipeline\nhats: [release-engineer, platform-cert-specialist, verifier]\nfix_hats: [classifier, release-engineer, feedback-assessor]\nreview: await\nelaboration: autonomous\ninputs:\n  - stage: polish\n    output: game-build\n---\n\n# Release\n\nThe terminal stage of the gamedev lifecycle: get the polished build into players' hands and keep it healthy. Submit to storefronts and platform holders, pass platform certification, and stand up the post-launch patch pipeline. This stage ships and sustains the game; it does not change it.\n\n## Scope\n\nShipping and sustaining the build: storefront submission, platform certification, and the patch/hotfix pipeline that survives launch. Release decides *how the finished game reaches and stays live for players* — not its content (production) or its feel (polish). Platform requirements vary widely and many are hard gates outside the team's control.\n\n## What to do\n\n- Build, package, and submit to each target storefront and platform holder on its own submission cadence.\n- Walk every platform's certification checklist and prep the build to pass it — cert can fail for reasons unrelated to game quality.\n- Stand up the patch pipeline so a hotfix can ship within days; that's what separates a launch hiccup from a launch disaster.\n- Treat fixes here as operational — re-cutting a submission build or re-running a cert pass, not reworking the game.\n\n## What NOT to do\n\n- Don't change gameplay, content, or feel to clear certification — a quality problem is a revisit to polish, not a patch jammed into submission.\n- Don't treat the initial submission as the finish line and skip the patch pipeline.\n- Don't assume one platform's cert outcome generalizes to the others.\n- Don't ship without a working path to push a post-launch fix.\n",
+          "stageMd": "---\nname: release\ndescription: Storefront submission, platform certification, and patch pipeline\noptional: true\nhats: [release-engineer, platform-cert-specialist, verifier]\nfix_hats: [classifier, release-engineer, feedback-assessor]\nreview: await\nelaboration: autonomous\ninputs:\n  - stage: polish\n    output: game-build\n---\n\n# Release\n\nThe terminal stage of the gamedev lifecycle: get the polished build into players' hands and keep it healthy. Submit to storefronts and platform holders, pass platform certification, and stand up the post-launch patch pipeline. This stage ships and sustains the game; it does not change it.\n\n## Scope\n\nShipping and sustaining the build: storefront submission, platform certification, and the patch/hotfix pipeline that survives launch. Release decides *how the finished game reaches and stays live for players* — not its content (production) or its feel (polish). Platform requirements vary widely and many are hard gates outside the team's control.\n\n## What to do\n\n- Build, package, and submit to each target storefront and platform holder on its own submission cadence.\n- Walk every platform's certification checklist and prep the build to pass it — cert can fail for reasons unrelated to game quality.\n- Stand up the patch pipeline so a hotfix can ship within days; that's what separates a launch hiccup from a launch disaster.\n- Treat fixes here as operational — re-cutting a submission build or re-running a cert pass, not reworking the game.\n\n## What NOT to do\n\n- Don't change gameplay, content, or feel to clear certification — a quality problem is a revisit to polish, not a patch jammed into submission.\n- Don't treat the initial submission as the finish line and skip the patch pipeline.\n- Don't assume one platform's cert outcome generalizes to the others.\n- Don't ship without a working path to push a post-launch fix.\n",
           "stagePath": "plugin/studios/gamedev/stages/release/STAGE.md",
           "hats": {
             "platform-cert-specialist": {
@@ -4414,6 +4537,18 @@
       ],
       "reflections": {},
       "operations": {},
+      "intentReviewAgents": {
+        "cross-stage-consistency": {
+          "content": "---\nmodel: opus\nscope: intent\ninterpretation: lens\n---\n**Mandate:** Verify the intent's artifacts are internally consistent across stages. You are the only reviewer that sees the whole intent at once — your job is to catch seams that per-stage reviewers miss.\n\n**Check:**\n- The agent **MUST** verify that each stage's outputs align with what upstream stages specified — no dropped requirements, no silent scope expansion\n- The agent **MUST** verify that naming is consistent across stages — a concept named one thing upstream should carry the same name downstream\n- The agent **MUST** verify that stages' declared outputs exist at the paths their unit frontmatter promised\n- The agent **MUST** verify that the stages collectively deliver the intent's stated goal (read `intent.md`) — partial delivery is a finding\n- The agent **MUST** verify that concerns raised by any stage's review were actually addressed (not silently ignored)\n\n**Anti-patterns (RFC 2119):**\n- The agent **MUST NOT** re-litigate decisions already approved at each stage's gate\n- The agent **MUST NOT** propose new features or scope additions\n- The agent **MUST NOT** flag stylistic preferences — concrete divergence only\n",
+          "frontmatter": {
+            "model": "opus",
+            "scope": "intent",
+            "interpretation": "lens"
+          },
+          "body": "**Mandate:** Verify the intent's artifacts are internally consistent across stages. You are the only reviewer that sees the whole intent at once — your job is to catch seams that per-stage reviewers miss.\n\n**Check:**\n- The agent **MUST** verify that each stage's outputs align with what upstream stages specified — no dropped requirements, no silent scope expansion\n- The agent **MUST** verify that naming is consistent across stages — a concept named one thing upstream should carry the same name downstream\n- The agent **MUST** verify that stages' declared outputs exist at the paths their unit frontmatter promised\n- The agent **MUST** verify that the stages collectively deliver the intent's stated goal (read `intent.md`) — partial delivery is a finding\n- The agent **MUST** verify that concerns raised by any stage's review were actually addressed (not silently ignored)\n\n**Anti-patterns (RFC 2119):**\n- The agent **MUST NOT** re-litigate decisions already approved at each stage's gate\n- The agent **MUST NOT** propose new features or scope additions\n- The agent **MUST NOT** flag stylistic preferences — concrete divergence only\n",
+          "path": "plugin/studios/hr/intent-review-agents/cross-stage-consistency.md"
+        }
+      },
       "templates": {},
       "examples": {},
       "preIntents": {
@@ -4541,6 +4676,7 @@
           "frontmatter": {
             "name": "sourcing",
             "description": "Identify candidate pools and conduct outreach",
+            "optional": true,
             "hats": [
               "sourcer",
               "recruiter",
@@ -4560,7 +4696,7 @@
               }
             ]
           },
-          "stageMd": "---\nname: sourcing\ndescription: Identify candidate pools and conduct outreach\nhats: [sourcer, recruiter, verifier]\nfix_hats: [classifier, sourcer, feedback-assessor]\nreview: auto\nelaboration: autonomous\ninputs:\n  - stage: requisition\n    discovery: job-spec\n---\n\n# Sourcing\n\nBuild the candidate pipeline against the requisition's job spec. This is where the pipeline gets its volume, its diversity, and its first-touch experience — and where composition decisions made now set a hard ceiling on everything downstream.\n\n## Scope\n\nPipeline construction and outreach: channel selection, prospect identification, and first-touch engagement. Sourcing decides *who enters the funnel and how they're approached* — not whether they meet the bar (screening) or what role was defined (requisition). A thin or homogeneous pipeline here yields a thin or homogeneous shortlist no matter how rigorous screening is.\n\n## What to do\n\n- Pick channels and personas deliberately against the job spec, not just the easiest source to hand.\n- Build prospect lists with initial fit signals so screening starts from real context.\n- Run personalized outreach and track responses, watching channel effectiveness as you go.\n- Mind pipeline composition (mix, persona coverage) as a first-class outcome of this stage, not an afterthought.\n\n## What NOT to do\n\n- Don't qualify or rank candidates against the must-have bar — that's screening.\n- Don't redefine the role or its requirements; consume the job spec as given.\n- Don't optimize for raw volume at the cost of a pipeline that's too narrow to produce a fair shortlist.\n- Don't let a single easy channel quietly determine the whole pipeline's composition.\n",
+          "stageMd": "---\nname: sourcing\ndescription: Identify candidate pools and conduct outreach\noptional: true\nhats: [sourcer, recruiter, verifier]\nfix_hats: [classifier, sourcer, feedback-assessor]\nreview: auto\nelaboration: autonomous\ninputs:\n  - stage: requisition\n    discovery: job-spec\n---\n\n# Sourcing\n\nBuild the candidate pipeline against the requisition's job spec. This is where the pipeline gets its volume, its diversity, and its first-touch experience — and where composition decisions made now set a hard ceiling on everything downstream.\n\n## Scope\n\nPipeline construction and outreach: channel selection, prospect identification, and first-touch engagement. Sourcing decides *who enters the funnel and how they're approached* — not whether they meet the bar (screening) or what role was defined (requisition). A thin or homogeneous pipeline here yields a thin or homogeneous shortlist no matter how rigorous screening is.\n\n## What to do\n\n- Pick channels and personas deliberately against the job spec, not just the easiest source to hand.\n- Build prospect lists with initial fit signals so screening starts from real context.\n- Run personalized outreach and track responses, watching channel effectiveness as you go.\n- Mind pipeline composition (mix, persona coverage) as a first-class outcome of this stage, not an afterthought.\n\n## What NOT to do\n\n- Don't qualify or rank candidates against the must-have bar — that's screening.\n- Don't redefine the role or its requirements; consume the job spec as given.\n- Don't optimize for raw volume at the cost of a pipeline that's too narrow to produce a fair shortlist.\n- Don't let a single easy channel quietly determine the whole pipeline's composition.\n",
           "stagePath": "plugin/studios/hr/stages/sourcing/STAGE.md",
           "hats": {
             "recruiter": {
@@ -4801,6 +4937,7 @@
           "frontmatter": {
             "name": "offer",
             "description": "Develop compensation package and extend offer",
+            "optional": true,
             "hats": [
               "compensator",
               "closer",
@@ -4824,7 +4961,7 @@
               }
             ]
           },
-          "stageMd": "---\nname: offer\ndescription: Develop compensation package and extend offer\nhats: [compensator, closer, verifier]\nfix_hats: [classifier, compensator, feedback-assessor]\nreview: external\nelaboration: collaborative\ninputs:\n  - stage: interview\n    discovery: interview-scorecard\n  - stage: requisition\n    discovery: job-spec\n---\n\n# Offer\n\nThe terminal stage of the hiring lifecycle: turn the interview stage's hire recommendation into a competitive, equitable, approved compensation package, and manage it through to the candidate's response. Small errors here — a misaligned band, a missing approval, a verbal commitment that doesn't match the written offer — lose the candidate or create downstream pay-equity problems.\n\n## Scope\n\nCompensation packaging and offer management: the comp analysis, the documented offer, the negotiation parameters, and the approval trail. Offer decides *what package goes to the candidate and how it's extended* — not whether to hire them (interview already decided that). It executes the hire decision; it doesn't re-litigate it.\n\n## What to do\n\n- Build the package against external market data and internal equity bands, with the positioning rationale documented.\n- Prepare complete offer documentation and drive it through the required approval workflow.\n- Manage negotiation strictly within approved parameters, keeping a contingency plan ready.\n- Keep the verbal and written offer in lockstep so what's promised matches what's signed.\n\n## What NOT to do\n\n- Don't reopen the hire / no-hire decision — consume the interview recommendation as given.\n- Don't negotiate outside approved parameters or extend before the approval trail is complete.\n- Don't let a fix touch only the closer's paperwork when the underlying comp framing is what's wrong.\n- Don't navigate pay-equity law, pay-transparency rules, equity-grant compliance, or immigration/work-authorization alone; where findings touch these, defer to human review and, where applicable, jurisdictional employment and tax counsel — the plugin does not dispense legal interpretations.\n",
+          "stageMd": "---\nname: offer\ndescription: Develop compensation package and extend offer\noptional: true\nhats: [compensator, closer, verifier]\nfix_hats: [classifier, compensator, feedback-assessor]\nreview: external\nelaboration: collaborative\ninputs:\n  - stage: interview\n    discovery: interview-scorecard\n  - stage: requisition\n    discovery: job-spec\n---\n\n# Offer\n\nThe terminal stage of the hiring lifecycle: turn the interview stage's hire recommendation into a competitive, equitable, approved compensation package, and manage it through to the candidate's response. Small errors here — a misaligned band, a missing approval, a verbal commitment that doesn't match the written offer — lose the candidate or create downstream pay-equity problems.\n\n## Scope\n\nCompensation packaging and offer management: the comp analysis, the documented offer, the negotiation parameters, and the approval trail. Offer decides *what package goes to the candidate and how it's extended* — not whether to hire them (interview already decided that). It executes the hire decision; it doesn't re-litigate it.\n\n## What to do\n\n- Build the package against external market data and internal equity bands, with the positioning rationale documented.\n- Prepare complete offer documentation and drive it through the required approval workflow.\n- Manage negotiation strictly within approved parameters, keeping a contingency plan ready.\n- Keep the verbal and written offer in lockstep so what's promised matches what's signed.\n\n## What NOT to do\n\n- Don't reopen the hire / no-hire decision — consume the interview recommendation as given.\n- Don't negotiate outside approved parameters or extend before the approval trail is complete.\n- Don't let a fix touch only the closer's paperwork when the underlying comp framing is what's wrong.\n- Don't navigate pay-equity law, pay-transparency rules, equity-grant compliance, or immigration/work-authorization alone; where findings touch these, defer to human review and, where applicable, jurisdictional employment and tax counsel — the plugin does not dispense legal interpretations.\n",
           "stagePath": "plugin/studios/hr/stages/offer/STAGE.md",
           "hats": {
             "closer": {
@@ -4903,6 +5040,26 @@
       ],
       "reflections": {},
       "operations": {},
+      "intentReviewAgents": {
+        "cross-stage-consistency": {
+          "content": "---\nmodel: opus\nscope: intent\ninterpretation: lens\n---\n**Mandate:** Verify the intent's hardware artifacts are internally consistent across stages. You are the only reviewer that sees the whole intent at once — your job is to catch the cross-stage seams that per-stage reviewers miss. The most expensive hardware defects live at the seams: requirements that the design didn't carry, designs that the firmware didn't honour, manufacturing that's tooled for the wrong variant, certs whose scope doesn't match the variant shipping.\n\n## Check\n\nThe agent **MUST** verify, filing intent-scope feedback for any violation:\n\n- **Requirements carry into design** — Every functional / safety / regulatory requirement from the requirements stage has at least one design artifact citation that implements or addresses it. Requirements with no design carrier become unmet requirements at validation.\n- **Design carries into firmware** — Every peripheral, supply rail, and connector on the schematic that requires firmware support has corresponding firmware code. Firmware that drives peripherals the schematic doesn't have is dead code; firmware that's missing for peripherals the schematic has is a non-functional product.\n- **Design + firmware carry into validation** — Every requirement-driven verification surface has both the design + firmware reality on the bench when the validation rig runs. Validation evidence collected against an obsolete design / firmware revision is misleading.\n- **Validation carries into manufacturing** — Every cert document's scope statement matches the variant manufacturing is producing. A cert for the radio-equipped variant doesn't cover the radio-less variant.\n- **Naming consistency** — A concept named one thing upstream carries the same name downstream. Net names, reference designators, peripheral names, requirement IDs, and variant names must not drift across stages.\n- **Declared outputs exist** — Every stage's declared outputs (schematic, BOM, PCB layout, mechanical CAD, firmware binary, validation evidence, cert documents, assembly process) exist at the path the stage promised. A missing output cascades into the next stage's \"input not found\" failure.\n- **Stage-review concerns addressed** — Any concern raised by a per-stage review-agent and accepted with a justification has the justification cross-checked against the downstream evidence. Justifications that turned out to be wrong should be re-opened.\n- **Intent goal delivered** — Read the intent.md. The stages collectively deliver what was scoped. Partial delivery against the stated goal is a finding.\n\n## Anti-patterns (RFC 2119)\n\n- The agent **MUST NOT** re-litigate decisions already approved at each stage's gate\n- The agent **MUST NOT** propose new features or scope additions\n- The agent **MUST NOT** flag stylistic preferences — concrete divergence only\n- The agent **MUST NOT** prescribe a specific tool, vendor, or file format in the finding; name the missing alignment, not the tool that would express it\n- The agent **MUST** cite the conflicting statements with file paths and stage / hat originators so the reconciler can act\n",
+          "frontmatter": {
+            "model": "opus",
+            "scope": "intent",
+            "interpretation": "lens"
+          },
+          "body": "**Mandate:** Verify the intent's hardware artifacts are internally consistent across stages. You are the only reviewer that sees the whole intent at once — your job is to catch the cross-stage seams that per-stage reviewers miss. The most expensive hardware defects live at the seams: requirements that the design didn't carry, designs that the firmware didn't honour, manufacturing that's tooled for the wrong variant, certs whose scope doesn't match the variant shipping.\n\n## Check\n\nThe agent **MUST** verify, filing intent-scope feedback for any violation:\n\n- **Requirements carry into design** — Every functional / safety / regulatory requirement from the requirements stage has at least one design artifact citation that implements or addresses it. Requirements with no design carrier become unmet requirements at validation.\n- **Design carries into firmware** — Every peripheral, supply rail, and connector on the schematic that requires firmware support has corresponding firmware code. Firmware that drives peripherals the schematic doesn't have is dead code; firmware that's missing for peripherals the schematic has is a non-functional product.\n- **Design + firmware carry into validation** — Every requirement-driven verification surface has both the design + firmware reality on the bench when the validation rig runs. Validation evidence collected against an obsolete design / firmware revision is misleading.\n- **Validation carries into manufacturing** — Every cert document's scope statement matches the variant manufacturing is producing. A cert for the radio-equipped variant doesn't cover the radio-less variant.\n- **Naming consistency** — A concept named one thing upstream carries the same name downstream. Net names, reference designators, peripheral names, requirement IDs, and variant names must not drift across stages.\n- **Declared outputs exist** — Every stage's declared outputs (schematic, BOM, PCB layout, mechanical CAD, firmware binary, validation evidence, cert documents, assembly process) exist at the path the stage promised. A missing output cascades into the next stage's \"input not found\" failure.\n- **Stage-review concerns addressed** — Any concern raised by a per-stage review-agent and accepted with a justification has the justification cross-checked against the downstream evidence. Justifications that turned out to be wrong should be re-opened.\n- **Intent goal delivered** — Read the intent.md. The stages collectively deliver what was scoped. Partial delivery against the stated goal is a finding.\n\n## Anti-patterns (RFC 2119)\n\n- The agent **MUST NOT** re-litigate decisions already approved at each stage's gate\n- The agent **MUST NOT** propose new features or scope additions\n- The agent **MUST NOT** flag stylistic preferences — concrete divergence only\n- The agent **MUST NOT** prescribe a specific tool, vendor, or file format in the finding; name the missing alignment, not the tool that would express it\n- The agent **MUST** cite the conflicting statements with file paths and stage / hat originators so the reconciler can act\n",
+          "path": "plugin/studios/hwdev/intent-review-agents/cross-stage-consistency.md"
+        },
+        "runtime-verifier": {
+          "content": "---\ninterpretation: lens\n---\n**Mandate:** The agent **MUST** be the user's eyes at hardware intent close — render the entire integrated design (schematic + PCB + Gerbers + 3D mechanical + BOM + firmware artifacts) through the SPA's artifact-browser and verify the whole board behaves as a coherent deliverable, not just a pile of files that each passed their own per-stage check. Hardware design has unforgiving integration semantics: a schematic that's clean and a PCB that's clean can still produce a board that won't fab because the layer stack-up disagrees with the via classes. This lens catches the seams.\n\n**You pass ONLY if you actually observed it — `haiku_view` is the verification, not optional scaffolding.** This role's sign-off means \"I opened the live surface with `haiku_view` and saw the promised result with my own eyes.\" If `haiku_view` won't bring the surface up — the tool errors, an artifact won't render, the firmware sim won't boot, a dependency is down — then you have observed **nothing**, and per the doctrine's verdict rules you **MUST** file a `BLOCKED` finding and **HOLD**. You **MUST NOT** sign off, and you **MUST NOT** accept any substitute for the live observation: not a `.haiku/boot.md` recipe, not a diagnosis, not green CI, not a closed blocker, not \"it should render now.\" Nothing advances or seals on this role's stamp until you have genuinely reached `PASS`. Re-dispatched after a \"fix\"? Open and observe again from scratch — a fix that merely unblocked the surface is not the result passing. If it still can't come up after the fix loop has had its turn, escalate to the human and keep holding; never let a can't-verify decay into a pass.\n\n## Check\n\nOpen a view session via `haiku_view({ intent: \"<this-intent>\" })` and use the bundled `haiku-playwright` MCP to navigate to each artifact through the SPA's artifact browser. Call `browser_take_screenshot` at every meaningful step. **Save each screenshot** to disk under `.haiku/intents/<intent>/proof/<artifact-or-check>-<view>.png` using the `Write` tool. The intent-level `proof/` directory is the durable record a human reviewer scrolls when verifying a merged intent.\n\nThe agent **MUST** verify each of the following:\n\n- **Every requirement from the requirements stage is traceable to a design artifact.** Read the requirements stage's deliverable. For each requirement, identify which schematic block, which PCB region, which firmware module, or which BOM item satisfies it — and screenshot the satisfying artifact. A requirement with no traceable implementation is the headline finding.\n- **The schematic ↔ PCB ↔ 3D ↔ BOM chain holds end to end.** Every component on the schematic has a footprint on the PCB; every footprint has a 3D representation in the mechanical file; every component has a BOM line with a manufacturer part number. Walk the chain for every named subcircuit — screenshot each render and assert the parts match.\n- **The Gerber set will fab.** Render the full Gerber + drill + pick-and-place through Tracespace. Stack-up matches the fab notes. Trace widths and via classes are within the declared fab-house capability. Pick-and-place centroids align with the rendered footprints. A Gerber set that won't pass the fab's design rules is a finding even if every per-stage check passed.\n- **Firmware (if the intent ships it) boots and exercises the hardware.** When the firmware stage produces a flashable binary or a simulator-runnable image, prefer `haiku_view({ stage: \"firmware\", mode: \"boot\" })` to spawn the sim/emulator and drive the firmware's user-facing surface. For pure firmware-only intents, walk the firmware's declared user flows the same way the software studio's intent-final-review does for apps.\n- **Per-unit claims across every stage hold in the integrated artifact set.** Walk every unit body across every stage. Each unit's claimed deliverable MUST be visible in the final integrated artifact set, not just in the stage's outputs at the time the unit completed. A schematic unit that claimed to add a regulator whose footprint never landed on the PCB is a finding.\n- **Close the session.** Call `haiku_view_close({ session_id })` after all checks complete.\n\n## Common failure modes to look for\n\n- Schematic clean, PCB clean, but the via class the PCB uses isn't included in the fab notes' stack-up — board won't fab\n- Component on the schematic, footprint on the PCB, but no part in the BOM — the board can't be assembled\n- A 3D mechanical revision that doesn't match the current PCB — the enclosure design used a stale STEP and the connector positions are wrong\n- A requirement (\"USB-C power input must survive 24V transient\") that nobody clearly satisfied in any stage — falls through the cracks\n- Firmware that the firmware stage's tests passed against a mock peripheral but doesn't actually drive the real hardware register layout when run on the silicon\n- Stack-up mismatch — the design assumed 4-layer 1.6mm but the fab notes say 6-layer 2mm, and trace impedances no longer hit target\n- A subcircuit unit said \"decoupling caps added to every IC\" but only the schematic was updated — the PCB wasn't routed to actually connect them\n",
+          "frontmatter": {
+            "interpretation": "lens"
+          },
+          "body": "**Mandate:** The agent **MUST** be the user's eyes at hardware intent close — render the entire integrated design (schematic + PCB + Gerbers + 3D mechanical + BOM + firmware artifacts) through the SPA's artifact-browser and verify the whole board behaves as a coherent deliverable, not just a pile of files that each passed their own per-stage check. Hardware design has unforgiving integration semantics: a schematic that's clean and a PCB that's clean can still produce a board that won't fab because the layer stack-up disagrees with the via classes. This lens catches the seams.\n\n**You pass ONLY if you actually observed it — `haiku_view` is the verification, not optional scaffolding.** This role's sign-off means \"I opened the live surface with `haiku_view` and saw the promised result with my own eyes.\" If `haiku_view` won't bring the surface up — the tool errors, an artifact won't render, the firmware sim won't boot, a dependency is down — then you have observed **nothing**, and per the doctrine's verdict rules you **MUST** file a `BLOCKED` finding and **HOLD**. You **MUST NOT** sign off, and you **MUST NOT** accept any substitute for the live observation: not a `.haiku/boot.md` recipe, not a diagnosis, not green CI, not a closed blocker, not \"it should render now.\" Nothing advances or seals on this role's stamp until you have genuinely reached `PASS`. Re-dispatched after a \"fix\"? Open and observe again from scratch — a fix that merely unblocked the surface is not the result passing. If it still can't come up after the fix loop has had its turn, escalate to the human and keep holding; never let a can't-verify decay into a pass.\n\n## Check\n\nOpen a view session via `haiku_view({ intent: \"<this-intent>\" })` and use the bundled `haiku-playwright` MCP to navigate to each artifact through the SPA's artifact browser. Call `browser_take_screenshot` at every meaningful step. **Save each screenshot** to disk under `.haiku/intents/<intent>/proof/<artifact-or-check>-<view>.png` using the `Write` tool. The intent-level `proof/` directory is the durable record a human reviewer scrolls when verifying a merged intent.\n\nThe agent **MUST** verify each of the following:\n\n- **Every requirement from the requirements stage is traceable to a design artifact.** Read the requirements stage's deliverable. For each requirement, identify which schematic block, which PCB region, which firmware module, or which BOM item satisfies it — and screenshot the satisfying artifact. A requirement with no traceable implementation is the headline finding.\n- **The schematic ↔ PCB ↔ 3D ↔ BOM chain holds end to end.** Every component on the schematic has a footprint on the PCB; every footprint has a 3D representation in the mechanical file; every component has a BOM line with a manufacturer part number. Walk the chain for every named subcircuit — screenshot each render and assert the parts match.\n- **The Gerber set will fab.** Render the full Gerber + drill + pick-and-place through Tracespace. Stack-up matches the fab notes. Trace widths and via classes are within the declared fab-house capability. Pick-and-place centroids align with the rendered footprints. A Gerber set that won't pass the fab's design rules is a finding even if every per-stage check passed.\n- **Firmware (if the intent ships it) boots and exercises the hardware.** When the firmware stage produces a flashable binary or a simulator-runnable image, prefer `haiku_view({ stage: \"firmware\", mode: \"boot\" })` to spawn the sim/emulator and drive the firmware's user-facing surface. For pure firmware-only intents, walk the firmware's declared user flows the same way the software studio's intent-final-review does for apps.\n- **Per-unit claims across every stage hold in the integrated artifact set.** Walk every unit body across every stage. Each unit's claimed deliverable MUST be visible in the final integrated artifact set, not just in the stage's outputs at the time the unit completed. A schematic unit that claimed to add a regulator whose footprint never landed on the PCB is a finding.\n- **Close the session.** Call `haiku_view_close({ session_id })` after all checks complete.\n\n## Common failure modes to look for\n\n- Schematic clean, PCB clean, but the via class the PCB uses isn't included in the fab notes' stack-up — board won't fab\n- Component on the schematic, footprint on the PCB, but no part in the BOM — the board can't be assembled\n- A 3D mechanical revision that doesn't match the current PCB — the enclosure design used a stale STEP and the connector positions are wrong\n- A requirement (\"USB-C power input must survive 24V transient\") that nobody clearly satisfied in any stage — falls through the cracks\n- Firmware that the firmware stage's tests passed against a mock peripheral but doesn't actually drive the real hardware register layout when run on the silicon\n- Stack-up mismatch — the design assumed 4-layer 1.6mm but the fab notes say 6-layer 2mm, and trace impedances no longer hit target\n- A subcircuit unit said \"decoupling caps added to every IC\" but only the schematic was updated — the PCB wasn't routed to actually connect them\n",
+          "path": "plugin/studios/hwdev/intent-review-agents/runtime-verifier.md"
+        }
+      },
       "templates": {},
       "examples": {},
       "preIntents": {
@@ -5273,6 +5430,7 @@
           "frontmatter": {
             "name": "firmware",
             "description": "Embedded software for the hardware platform",
+            "optional": true,
             "produces": "build",
             "hats": [
               "firmware-engineer",
@@ -5300,7 +5458,7 @@
               }
             ]
           },
-          "stageMd": "---\nname: firmware\ndescription: Embedded software for the hardware platform\nproduces: build\nhats: [firmware-engineer, reviewer, verifier]\nfix_hats: [classifier, firmware-engineer, feedback-assessor]\nreview: [external, ask]\nelaboration: collaborative\ninputs:\n  - stage: requirements\n    discovery: functional-requirements\n  - stage: design\n    output: schematic\n---\n\n# Firmware\n\nImplement the embedded software that runs on the hardware platform. Firmware works under constraints application development never faces — finite memory, flash, and power budgets; hard real-time deadlines; field updates that may need physical access; and far harder debugging. \"It works on the bench\" is not validation for code shipping inside a physical product.\n\n## Scope\n\nThe embedded software against the design and requirements: the implementation, its tests, and the on-target measurements that prove it fits the budgets. Firmware decides *how the platform behaves in software* — not the hardware design it runs on (design) and not the final validation of the whole product (validation).\n\n## What to do\n\n- Implement against the functional requirements and the design's actual hardware, not an idealized board.\n- Respect the memory, flash, power, and timing budgets, and measure them on real hardware rather than assuming.\n- Trace every safety-critical path to a documented hazard mitigation and make it provably correct.\n- Ship tests and on-target measurements alongside the implementation, not as a follow-up.\n\n## What NOT to do\n\n- Don't redesign the hardware or change the schematic to suit the software — that's a revisit to design.\n- Don't run the product's validation campaign (HIL, environmental, cert) — that's the validation stage.\n- Don't treat a bench pass as validation for a safety-critical path.\n- Don't exceed a resource budget and leave it for validation to discover.\n",
+          "stageMd": "---\nname: firmware\ndescription: Embedded software for the hardware platform\noptional: true\nproduces: build\nhats: [firmware-engineer, reviewer, verifier]\nfix_hats: [classifier, firmware-engineer, feedback-assessor]\nreview: [external, ask]\nelaboration: collaborative\ninputs:\n  - stage: requirements\n    discovery: functional-requirements\n  - stage: design\n    output: schematic\n---\n\n# Firmware\n\nImplement the embedded software that runs on the hardware platform. Firmware works under constraints application development never faces — finite memory, flash, and power budgets; hard real-time deadlines; field updates that may need physical access; and far harder debugging. \"It works on the bench\" is not validation for code shipping inside a physical product.\n\n## Scope\n\nThe embedded software against the design and requirements: the implementation, its tests, and the on-target measurements that prove it fits the budgets. Firmware decides *how the platform behaves in software* — not the hardware design it runs on (design) and not the final validation of the whole product (validation).\n\n## What to do\n\n- Implement against the functional requirements and the design's actual hardware, not an idealized board.\n- Respect the memory, flash, power, and timing budgets, and measure them on real hardware rather than assuming.\n- Trace every safety-critical path to a documented hazard mitigation and make it provably correct.\n- Ship tests and on-target measurements alongside the implementation, not as a follow-up.\n\n## What NOT to do\n\n- Don't redesign the hardware or change the schematic to suit the software — that's a revisit to design.\n- Don't run the product's validation campaign (HIL, environmental, cert) — that's the validation stage.\n- Don't treat a bench pass as validation for a safety-critical path.\n- Don't exceed a resource budget and leave it for validation to discover.\n",
           "stagePath": "plugin/studios/hwdev/stages/firmware/STAGE.md",
           "hats": {
             "firmware-engineer": {
@@ -5462,6 +5620,7 @@
           "frontmatter": {
             "name": "manufacturing",
             "description": "DFM, assembly process, QA sampling, and production ramp",
+            "optional": true,
             "hats": [
               "manufacturing-engineer",
               "qa-lead",
@@ -5493,7 +5652,7 @@
               }
             ]
           },
-          "stageMd": "---\nname: manufacturing\ndescription: DFM, assembly process, QA sampling, and production ramp\nhats: [manufacturing-engineer, qa-lead, verifier]\nfix_hats: [classifier, manufacturing-engineer, feedback-assessor]\nreview: await\nelaboration: autonomous\ninputs:\n  - stage: design\n    output: schematic\n  - stage: design\n    output: bom\n  - stage: firmware\n    output: firmware-binary\n  - stage: validation\n    output: certification\n---\n\n# Manufacturing\n\nGet the validated design into volume production: design-for-manufacturability review, assembly process definition, QA sampling plan, production ramp, and first-article inspection. Manufacturing decisions lock in — once tooling is cut and the line is running, changes are expensive and slow.\n\n## Scope\n\nProduction readiness and ramp: the DFM review, the assembly process (line layout, station operations, takt time), and the quality plan that catches defects before volume. Manufacturing decides *how the validated design gets built repeatably at scale* — not the design itself (design) and not whether it meets its requirements (validation).\n\n## What to do\n\n- Run the DFM review against the actual design and BOM, surfacing manufacturability gaps before tooling is cut.\n- Define the assembly process concretely — line layout, per-station operations, takt time.\n- Build the quality plan end to end: incoming inspection, in-process checks, end-of-line functional test, sampling, defect classification.\n- Treat first-article inspection as the last cheap chance to catch a problem before it ships at volume.\n\n## What NOT to do\n\n- Don't change the design or BOM to ease manufacturing — a real manufacturability problem is a revisit to design.\n- Don't run validation or certification work — consume validation's output as a precondition.\n- Don't ramp to volume past an unresolved first-article finding.\n- Don't define a process step without a verifiable post-condition and a scrap or rework policy.\n",
+          "stageMd": "---\nname: manufacturing\ndescription: DFM, assembly process, QA sampling, and production ramp\noptional: true\nhats: [manufacturing-engineer, qa-lead, verifier]\nfix_hats: [classifier, manufacturing-engineer, feedback-assessor]\nreview: await\nelaboration: autonomous\ninputs:\n  - stage: design\n    output: schematic\n  - stage: design\n    output: bom\n  - stage: firmware\n    output: firmware-binary\n  - stage: validation\n    output: certification\n---\n\n# Manufacturing\n\nGet the validated design into volume production: design-for-manufacturability review, assembly process definition, QA sampling plan, production ramp, and first-article inspection. Manufacturing decisions lock in — once tooling is cut and the line is running, changes are expensive and slow.\n\n## Scope\n\nProduction readiness and ramp: the DFM review, the assembly process (line layout, station operations, takt time), and the quality plan that catches defects before volume. Manufacturing decides *how the validated design gets built repeatably at scale* — not the design itself (design) and not whether it meets its requirements (validation).\n\n## What to do\n\n- Run the DFM review against the actual design and BOM, surfacing manufacturability gaps before tooling is cut.\n- Define the assembly process concretely — line layout, per-station operations, takt time.\n- Build the quality plan end to end: incoming inspection, in-process checks, end-of-line functional test, sampling, defect classification.\n- Treat first-article inspection as the last cheap chance to catch a problem before it ships at volume.\n\n## What NOT to do\n\n- Don't change the design or BOM to ease manufacturing — a real manufacturability problem is a revisit to design.\n- Don't run validation or certification work — consume validation's output as a precondition.\n- Don't ramp to volume past an unresolved first-article finding.\n- Don't define a process step without a verifiable post-condition and a scrap or rework policy.\n",
           "stagePath": "plugin/studios/hwdev/stages/manufacturing/STAGE.md",
           "hats": {
             "manufacturing-engineer": {
@@ -5594,6 +5753,18 @@
         }
       },
       "operations": {},
+      "intentReviewAgents": {
+        "cross-stage-consistency": {
+          "content": "---\nmodel: opus\nscope: intent\ninterpretation: lens\n---\n**Mandate:** Verify the intent's artifacts are internally consistent across stages. You are the only reviewer that sees the whole intent at once — your job is to catch seams that per-stage reviewers miss.\n\n**Check:**\n- The agent **MUST** verify that each stage's outputs align with what upstream stages specified — no dropped requirements, no silent scope expansion\n- The agent **MUST** verify that naming is consistent across stages — a concept named one thing upstream should carry the same name downstream\n- The agent **MUST** verify that stages' declared outputs exist at the paths their unit frontmatter promised\n- The agent **MUST** verify that the stages collectively deliver the intent's stated goal (read `intent.md`) — partial delivery is a finding\n- The agent **MUST** verify that concerns raised by any stage's review were actually addressed (not silently ignored)\n\n**Anti-patterns (RFC 2119):**\n- The agent **MUST NOT** re-litigate decisions already approved at each stage's gate\n- The agent **MUST NOT** propose new features or scope additions\n- The agent **MUST NOT** flag stylistic preferences — concrete divergence only\n",
+          "frontmatter": {
+            "model": "opus",
+            "scope": "intent",
+            "interpretation": "lens"
+          },
+          "body": "**Mandate:** Verify the intent's artifacts are internally consistent across stages. You are the only reviewer that sees the whole intent at once — your job is to catch seams that per-stage reviewers miss.\n\n**Check:**\n- The agent **MUST** verify that each stage's outputs align with what upstream stages specified — no dropped requirements, no silent scope expansion\n- The agent **MUST** verify that naming is consistent across stages — a concept named one thing upstream should carry the same name downstream\n- The agent **MUST** verify that stages' declared outputs exist at the paths their unit frontmatter promised\n- The agent **MUST** verify that the stages collectively deliver the intent's stated goal (read `intent.md`) — partial delivery is a finding\n- The agent **MUST** verify that concerns raised by any stage's review were actually addressed (not silently ignored)\n\n**Anti-patterns (RFC 2119):**\n- The agent **MUST NOT** re-litigate decisions already approved at each stage's gate\n- The agent **MUST NOT** propose new features or scope additions\n- The agent **MUST NOT** flag stylistic preferences — concrete divergence only\n",
+          "path": "plugin/studios/ideation/intent-review-agents/cross-stage-consistency.md"
+        }
+      },
       "templates": {},
       "examples": {},
       "preIntents": {
@@ -5813,6 +5984,7 @@
           "frontmatter": {
             "name": "review",
             "description": "Adversarial quality review of the deliverable",
+            "optional": true,
             "hats": [
               "review-planner",
               "synthesizer",
@@ -5834,7 +6006,7 @@
               }
             ]
           },
-          "stageMd": "---\nname: review\ndescription: Adversarial quality review of the deliverable\nhats: [review-planner, synthesizer, reviewer, critic, fact-checker]\nfix_hats: [classifier, synthesizer, feedback-assessor]\nreview: ask\nelaboration: autonomous\ninputs:\n  - stage: create\n    discovery: draft-deliverable\n---\n\n# Review\n\nAdversarially stress-test the deliverable before it's finalized. The draft from create goes in; a structured report with severity-graded findings comes out. This stage exists to surface the weaknesses, unsupported claims, and gaps the author couldn't see in their own work.\n\n## Scope\n\nQuality review of the draft against named criteria: each review surface — clarity, evidence strength, novelty, structural integrity, scope fit, audience fit, coherence — examined and graded. Review decides *whether the deliverable holds up and where it doesn't* — not what it says (create) and not how it's packaged (deliver). It produces findings; it doesn't rewrite the artifact.\n\n## What to do\n\n- Name each review surface and its criteria, then review against them with cited observations.\n- Trace every claim in the draft to its source and flag anything that doesn't trace.\n- Hunt for weaknesses, logical gaps, and missing perspectives the author wouldn't catch on their own work.\n- Grade findings by severity (critical, major, minor) so the next stage knows what must be addressed.\n\n## What NOT to do\n\n- Don't rewrite the deliverable or fix the findings yourself — record them; addressing them is a revisit to create.\n- Don't re-run research or generate new content.\n- Don't soften a finding because the draft is otherwise good; severity discipline is the point.\n- Don't decide unilaterally which findings get addressed — a human arbitrates that before deliver.\n",
+          "stageMd": "---\nname: review\ndescription: Adversarial quality review of the deliverable\noptional: true\nhats: [review-planner, synthesizer, reviewer, critic, fact-checker]\nfix_hats: [classifier, synthesizer, feedback-assessor]\nreview: ask\nelaboration: autonomous\ninputs:\n  - stage: create\n    discovery: draft-deliverable\n---\n\n# Review\n\nAdversarially stress-test the deliverable before it's finalized. The draft from create goes in; a structured report with severity-graded findings comes out. This stage exists to surface the weaknesses, unsupported claims, and gaps the author couldn't see in their own work.\n\n## Scope\n\nQuality review of the draft against named criteria: each review surface — clarity, evidence strength, novelty, structural integrity, scope fit, audience fit, coherence — examined and graded. Review decides *whether the deliverable holds up and where it doesn't* — not what it says (create) and not how it's packaged (deliver). It produces findings; it doesn't rewrite the artifact.\n\n## What to do\n\n- Name each review surface and its criteria, then review against them with cited observations.\n- Trace every claim in the draft to its source and flag anything that doesn't trace.\n- Hunt for weaknesses, logical gaps, and missing perspectives the author wouldn't catch on their own work.\n- Grade findings by severity (critical, major, minor) so the next stage knows what must be addressed.\n\n## What NOT to do\n\n- Don't rewrite the deliverable or fix the findings yourself — record them; addressing them is a revisit to create.\n- Don't re-run research or generate new content.\n- Don't soften a finding because the draft is otherwise good; severity discipline is the point.\n- Don't decide unilaterally which findings get addressed — a human arbitrates that before deliver.\n",
           "stagePath": "plugin/studios/ideation/stages/review/STAGE.md",
           "hats": {
             "critic": {
@@ -6052,6 +6224,18 @@
         }
       },
       "operations": {},
+      "intentReviewAgents": {
+        "cross-stage-consistency": {
+          "content": "---\nmodel: opus\nscope: intent\ninterpretation: lens\n---\n**Mandate:** Verify the intent's artifacts are internally consistent across stages. You are the only reviewer that sees the whole intent at once — your job is to catch seams that per-stage reviewers miss.\n\n**Check:**\n- The agent **MUST** verify that each stage's outputs align with what upstream stages specified — no dropped requirements, no silent scope expansion\n- The agent **MUST** verify that naming is consistent across stages — a concept named one thing upstream should carry the same name downstream\n- The agent **MUST** verify that stages' declared outputs exist at the paths their unit frontmatter promised\n- The agent **MUST** verify that the stages collectively deliver the intent's stated goal (read `intent.md`) — partial delivery is a finding\n- The agent **MUST** verify that concerns raised by any stage's review were actually addressed (not silently ignored)\n\n**Anti-patterns (RFC 2119):**\n- The agent **MUST NOT** re-litigate decisions already approved at each stage's gate\n- The agent **MUST NOT** propose new features or scope additions\n- The agent **MUST NOT** flag stylistic preferences — concrete divergence only\n",
+          "frontmatter": {
+            "model": "opus",
+            "scope": "intent",
+            "interpretation": "lens"
+          },
+          "body": "**Mandate:** Verify the intent's artifacts are internally consistent across stages. You are the only reviewer that sees the whole intent at once — your job is to catch seams that per-stage reviewers miss.\n\n**Check:**\n- The agent **MUST** verify that each stage's outputs align with what upstream stages specified — no dropped requirements, no silent scope expansion\n- The agent **MUST** verify that naming is consistent across stages — a concept named one thing upstream should carry the same name downstream\n- The agent **MUST** verify that stages' declared outputs exist at the paths their unit frontmatter promised\n- The agent **MUST** verify that the stages collectively deliver the intent's stated goal (read `intent.md`) — partial delivery is a finding\n- The agent **MUST** verify that concerns raised by any stage's review were actually addressed (not silently ignored)\n\n**Anti-patterns (RFC 2119):**\n- The agent **MUST NOT** re-litigate decisions already approved at each stage's gate\n- The agent **MUST NOT** propose new features or scope additions\n- The agent **MUST NOT** flag stylistic preferences — concrete divergence only\n",
+          "path": "plugin/studios/incident-response/intent-review-agents/cross-stage-consistency.md"
+        }
+      },
       "templates": {
         "production-incident": {
           "content": "---\nname: production-incident\nstudio: incident-response\ndescription: Respond to a production incident from triage through postmortem\nparameters:\n  - name: service\n    description: Affected service or system\n    required: true\n  - name: severity\n    description: \"Severity: sev1, sev2, sev3\"\n    required: true\n  - name: alert_url\n    description: Link to the alert or monitoring dashboard\n    required: false\nunits:\n  - name: \"triage\"\n    stage: triage\n    criteria:\n      - \"Severity confirmed as {{ severity }}\"\n      - \"Blast radius assessed (users, services, data)\"\n      - \"Incident commander assigned\"\n  - name: \"root-cause\"\n    stage: investigate\n    criteria:\n      - \"Timeline reconstructed with evidence\"\n      - \"Root cause identified (not just proximate trigger)\"\n      - \"Contributing factors documented\"\n  - name: \"stop-bleeding\"\n    stage: mitigate\n    criteria:\n      - \"{{ service }} restored to functional state\"\n      - \"Mitigation verified in production\"\n      - \"No data loss or corruption from mitigation\"\n  - name: \"permanent-fix\"\n    stage: resolve\n    criteria:\n      - \"Fix addresses root cause, not just symptom\"\n      - \"Regression test covers the failure scenario\"\n      - \"Fix deployed and verified\"\n  - name: \"postmortem\"\n    stage: postmortem\n    criteria:\n      - \"Timeline accurate and complete\"\n      - \"Action items assigned with owners and deadlines\"\n      - \"Prevention measures identified\"\n---\n\nFull incident response for production issues. Uses all 5 stages.\n",
@@ -6427,6 +6611,7 @@
           "frontmatter": {
             "name": "resolve",
             "description": "Implement permanent fix with proper testing and review",
+            "optional": true,
             "hats": [
               "engineer",
               "reviewer",
@@ -6446,7 +6631,7 @@
               }
             ]
           },
-          "stageMd": "---\nname: resolve\ndescription: Implement permanent fix with proper testing and review\nhats: [engineer, reviewer, verifier]\nfix_hats: [classifier, engineer, feedback-assessor]\nreview: ask\nelaboration: autonomous\ninputs:\n  - stage: mitigate\n    discovery: mitigation-log\n---\n\n# Resolve\n\nBuild the permanent fix. Mitigate stopped the bleeding with a reversible action; investigate produced the root cause. Resolve lands the code or system change that actually addresses that cause, ships a regression test that would have caught the incident, and plans the removal of the temporary mitigation once the fix is verified.\n\n## Scope\n\nThe durable fix and its safety net: the change that addresses the root cause, a regression test that fails without it, a deployment plan, the mitigation-cleanup plan, and a check for the same defect class elsewhere. Resolve decides *how the incident is fixed for good* — not why it happened (investigate) or how impact was stopped in the moment (mitigate).\n\n## What to do\n\n- Address the diagnosed root cause itself, not the symptom the mitigation papered over.\n- Ship a regression test that fails without the fix — proof it would have caught this incident.\n- Plan the deployment with rollback criteria and a plan to remove the temporary mitigation once verified.\n- Check whether the same class of defect exists elsewhere; a one-instance patch leaves the weakness for the next surface.\n\n## What NOT to do\n\n- Don't rely on the mitigation as the fix — it's a holding action that resolve is meant to retire.\n- Don't redo the diagnosis or re-litigate the root cause; consume investigate's output.\n- Don't land a fix without a regression test that proves it.\n- Don't patch the single instance and walk away from the broader defect class.\n",
+          "stageMd": "---\nname: resolve\ndescription: Implement permanent fix with proper testing and review\noptional: true\nhats: [engineer, reviewer, verifier]\nfix_hats: [classifier, engineer, feedback-assessor]\nreview: ask\nelaboration: autonomous\ninputs:\n  - stage: mitigate\n    discovery: mitigation-log\n---\n\n# Resolve\n\nBuild the permanent fix. Mitigate stopped the bleeding with a reversible action; investigate produced the root cause. Resolve lands the code or system change that actually addresses that cause, ships a regression test that would have caught the incident, and plans the removal of the temporary mitigation once the fix is verified.\n\n## Scope\n\nThe durable fix and its safety net: the change that addresses the root cause, a regression test that fails without it, a deployment plan, the mitigation-cleanup plan, and a check for the same defect class elsewhere. Resolve decides *how the incident is fixed for good* — not why it happened (investigate) or how impact was stopped in the moment (mitigate).\n\n## What to do\n\n- Address the diagnosed root cause itself, not the symptom the mitigation papered over.\n- Ship a regression test that fails without the fix — proof it would have caught this incident.\n- Plan the deployment with rollback criteria and a plan to remove the temporary mitigation once verified.\n- Check whether the same class of defect exists elsewhere; a one-instance patch leaves the weakness for the next surface.\n\n## What NOT to do\n\n- Don't rely on the mitigation as the fix — it's a holding action that resolve is meant to retire.\n- Don't redo the diagnosis or re-litigate the root cause; consume investigate's output.\n- Don't land a fix without a regression test that proves it.\n- Don't patch the single instance and walk away from the broader defect class.\n",
           "stagePath": "plugin/studios/incident-response/stages/resolve/STAGE.md",
           "hats": {
             "engineer": {
@@ -6511,6 +6696,7 @@
           "frontmatter": {
             "name": "postmortem",
             "description": "Document timeline, root cause, action items, and prevention measures",
+            "optional": true,
             "hats": [
               "postmortem-author",
               "action-item-tracker",
@@ -6530,7 +6716,7 @@
               }
             ]
           },
-          "stageMd": "---\nname: postmortem\ndescription: Document timeline, root cause, action items, and prevention measures\nhats: [postmortem-author, action-item-tracker, verifier]\nfix_hats: [classifier, postmortem-author, feedback-assessor]\nreview: external\nelaboration: autonomous\ninputs:\n  - stage: resolve\n    discovery: resolution-summary\n---\n\n# Postmortem\n\nThe terminal stage of the incident lifecycle: convert the incident into organizational learning. Investigate produced the diagnosis, resolve built the fix — postmortem tells the full story of what happened, how it was detected and handled, why it happened, and what concrete changes will reduce the likelihood or impact of the next incident in this class.\n\n## Scope\n\nThe learning artifact: the consolidated narrative, the detection-and-response analysis, the action items with owners, and the prevention measures. Postmortem decides *what the organization takes away from this incident* — not the diagnosis (investigate) or the fix (resolve), which it draws on. It is blameless by design: systemic gaps are the subject, not individuals.\n\n## What to do\n\n- Write the full timeline — detection story, response story, root cause, contributing factors — with evidence cited.\n- Keep the framing blameless; name the systemic gaps that allowed the failure, because naming people produces fear, not improvement.\n- Extract concrete action items with named owners, priorities, and tracking references, and file them into the team's work-management system.\n- Make prevention measures address the systemic gap, not just the single instance that failed.\n\n## What NOT to do\n\n- Don't re-investigate or rebuild the fix — consume resolve's summary and the upstream artifacts.\n- Don't assign individual blame; the subject is the system the humans operated inside.\n- Don't leave action items as prose in the document with no owner or tracking reference.\n- Don't let prevention measures patch only this instance while the underlying class stays open.\n",
+          "stageMd": "---\nname: postmortem\ndescription: Document timeline, root cause, action items, and prevention measures\noptional: true\nhats: [postmortem-author, action-item-tracker, verifier]\nfix_hats: [classifier, postmortem-author, feedback-assessor]\nreview: external\nelaboration: autonomous\ninputs:\n  - stage: resolve\n    discovery: resolution-summary\n---\n\n# Postmortem\n\nThe terminal stage of the incident lifecycle: convert the incident into organizational learning. Investigate produced the diagnosis, resolve built the fix — postmortem tells the full story of what happened, how it was detected and handled, why it happened, and what concrete changes will reduce the likelihood or impact of the next incident in this class.\n\n## Scope\n\nThe learning artifact: the consolidated narrative, the detection-and-response analysis, the action items with owners, and the prevention measures. Postmortem decides *what the organization takes away from this incident* — not the diagnosis (investigate) or the fix (resolve), which it draws on. It is blameless by design: systemic gaps are the subject, not individuals.\n\n## What to do\n\n- Write the full timeline — detection story, response story, root cause, contributing factors — with evidence cited.\n- Keep the framing blameless; name the systemic gaps that allowed the failure, because naming people produces fear, not improvement.\n- Extract concrete action items with named owners, priorities, and tracking references, and file them into the team's work-management system.\n- Make prevention measures address the systemic gap, not just the single instance that failed.\n\n## What NOT to do\n\n- Don't re-investigate or rebuild the fix — consume resolve's summary and the upstream artifacts.\n- Don't assign individual blame; the subject is the system the humans operated inside.\n- Don't leave action items as prose in the document with no owner or tracking reference.\n- Don't let prevention measures patch only this instance while the underlying class stays open.\n",
           "stagePath": "plugin/studios/incident-response/stages/postmortem/STAGE.md",
           "hats": {
             "action-item-tracker": {
@@ -6621,6 +6807,18 @@
       ],
       "reflections": {},
       "operations": {},
+      "intentReviewAgents": {
+        "cross-stage-consistency": {
+          "content": "---\nmodel: opus\nscope: intent\ninterpretation: lens\n---\n**Mandate:** Verify the intent's artifacts are internally consistent across stages. You are the only reviewer that sees the whole intent at once — your job is to catch seams that per-stage reviewers miss.\n\n**Check:**\n- The agent **MUST** verify that each stage's outputs align with what upstream stages specified — no dropped requirements, no silent scope expansion\n- The agent **MUST** verify that naming is consistent across stages — a concept named one thing upstream should carry the same name downstream\n- The agent **MUST** verify that stages' declared outputs exist at the paths their unit frontmatter promised\n- The agent **MUST** verify that the stages collectively deliver the intent's stated goal (read `intent.md`) — partial delivery is a finding\n- The agent **MUST** verify that concerns raised by any stage's review were actually addressed (not silently ignored)\n\n**Anti-patterns (RFC 2119):**\n- The agent **MUST NOT** re-litigate decisions already approved at each stage's gate\n- The agent **MUST NOT** propose new features or scope additions\n- The agent **MUST NOT** flag stylistic preferences — concrete divergence only\n",
+          "frontmatter": {
+            "model": "opus",
+            "scope": "intent",
+            "interpretation": "lens"
+          },
+          "body": "**Mandate:** Verify the intent's artifacts are internally consistent across stages. You are the only reviewer that sees the whole intent at once — your job is to catch seams that per-stage reviewers miss.\n\n**Check:**\n- The agent **MUST** verify that each stage's outputs align with what upstream stages specified — no dropped requirements, no silent scope expansion\n- The agent **MUST** verify that naming is consistent across stages — a concept named one thing upstream should carry the same name downstream\n- The agent **MUST** verify that stages' declared outputs exist at the paths their unit frontmatter promised\n- The agent **MUST** verify that the stages collectively deliver the intent's stated goal (read `intent.md`) — partial delivery is a finding\n- The agent **MUST** verify that concerns raised by any stage's review were actually addressed (not silently ignored)\n\n**Anti-patterns (RFC 2119):**\n- The agent **MUST NOT** re-litigate decisions already approved at each stage's gate\n- The agent **MUST NOT** propose new features or scope additions\n- The agent **MUST NOT** flag stylistic preferences — concrete divergence only\n",
+          "path": "plugin/studios/legal/intent-review-agents/cross-stage-consistency.md"
+        }
+      },
       "templates": {},
       "examples": {},
       "preIntents": {
@@ -6754,6 +6952,7 @@
           "frontmatter": {
             "name": "research",
             "description": "Research precedent and review regulatory requirements",
+            "optional": true,
             "hats": [
               "researcher",
               "analyst",
@@ -6780,7 +6979,7 @@
               }
             ]
           },
-          "stageMd": "---\nname: research\ndescription: Research precedent and review regulatory requirements\nhats: [researcher, analyst, verifier]\nfix_hats: [classifier, researcher, analyst, feedback-assessor]\nreview: auto\nelaboration: autonomous\ninputs:\n  - stage: intake\n    discovery: legal-brief\noutputs:\n  - discovery: research-memo\n    hat: analyst\n---\n\n# Research\n\nTake the intake brief and build the legal-research foundation the drafting stage will rely on: the applicable rules, the controlling precedent, the regulatory regimes, and the open questions. This stage gathers and summarizes legal materials so the attorney can apply judgment — it does not supply the judgment itself.\n\n## Scope\n\nInvestigation and synthesis of legal sources for the matter's questions. Research decides *what the materials say* and *what's settled vs. contested* — not what the document should contain (draft), and not whether the final document is sufficient (review). Any statement of the form \"the law requires X\" must rest on a cited primary source.\n\n## What to do\n\n- Identify the relevant primary and secondary sources for each question, and capture exact, current citations.\n- Separate what's settled from what's contested, and name the open questions the attorney needs to weigh.\n- Synthesize raw findings into a structured memo that traces back to the intake brief's facts.\n- Frame conclusions as input for the attorney's review, not as directions for execution.\n\n## What NOT to do\n\n- Don't present an analysis as a legal opinion or a strategy decision — that's the attorney's domain.\n- Don't draft document language; the memo informs the draft, it isn't the draft.\n- Don't cite a source you haven't confirmed is real and current, and don't let an uncited assertion stand as law.\n- Don't reach beyond the questions the brief raised; new questions become new units.\n",
+          "stageMd": "---\nname: research\ndescription: Research precedent and review regulatory requirements\noptional: true\nhats: [researcher, analyst, verifier]\nfix_hats: [classifier, researcher, analyst, feedback-assessor]\nreview: auto\nelaboration: autonomous\ninputs:\n  - stage: intake\n    discovery: legal-brief\noutputs:\n  - discovery: research-memo\n    hat: analyst\n---\n\n# Research\n\nTake the intake brief and build the legal-research foundation the drafting stage will rely on: the applicable rules, the controlling precedent, the regulatory regimes, and the open questions. This stage gathers and summarizes legal materials so the attorney can apply judgment — it does not supply the judgment itself.\n\n## Scope\n\nInvestigation and synthesis of legal sources for the matter's questions. Research decides *what the materials say* and *what's settled vs. contested* — not what the document should contain (draft), and not whether the final document is sufficient (review). Any statement of the form \"the law requires X\" must rest on a cited primary source.\n\n## What to do\n\n- Identify the relevant primary and secondary sources for each question, and capture exact, current citations.\n- Separate what's settled from what's contested, and name the open questions the attorney needs to weigh.\n- Synthesize raw findings into a structured memo that traces back to the intake brief's facts.\n- Frame conclusions as input for the attorney's review, not as directions for execution.\n\n## What NOT to do\n\n- Don't present an analysis as a legal opinion or a strategy decision — that's the attorney's domain.\n- Don't draft document language; the memo informs the draft, it isn't the draft.\n- Don't cite a source you haven't confirmed is real and current, and don't let an uncited assertion stand as law.\n- Don't reach beyond the questions the brief raised; new questions become new units.\n",
           "stagePath": "plugin/studios/legal/stages/research/STAGE.md",
           "hats": {
             "analyst": {
@@ -6846,6 +7045,7 @@
           "frontmatter": {
             "name": "draft",
             "description": "Create legal documents and contracts",
+            "optional": true,
             "hats": [
               "drafter",
               "editor",
@@ -6875,7 +7075,7 @@
               }
             ]
           },
-          "stageMd": "---\nname: draft\ndescription: Create legal documents and contracts\nhats: [drafter, editor, verifier]\nfix_hats: [classifier, drafter, feedback-assessor]\nreview: ask\nelaboration: collaborative\ninputs:\n  - stage: research\n    discovery: research-memo\n  - stage: intake\n    discovery: legal-brief\noutputs:\n  - output: draft-document\n    hat: drafter\n---\n\n# Draft\n\nTranslate the intake brief and the research memo into a concrete legal document — a contract, agreement, policy, exhibit, or filing. This is where the matter takes the form a counterparty will actually sign. The agent drafts; the licensed attorney owns the legal judgment, and every tactical choice is flagged for the attorney rather than decided here.\n\n## Scope\n\nAuthoring the document's operative language: clauses, defined terms, cross-references, and exhibits that execute the brief and reflect the research. Draft decides *what the document says* — not whether the underlying analysis is sound (research), and not whether the finished document holds up (review). Tactical legal calls (an indemnity stance, a liability cap, choice of governing law) are surfaced to the attorney, not chosen.\n\n## What to do\n\n- Draft the operative clauses for the unit's scope, with defined terms and clean cross-references, mapping each protective clause to the risk it addresses.\n- Keep defined-term usage, cross-references, exhibit completeness, and house style consistent across the document.\n- Flag every tactical or judgment-laden choice for the attorney instead of resolving it silently.\n- Trace the draft back to the brief and the memo so nothing in scope is left unaddressed.\n\n## What NOT to do\n\n- Don't make the legal-strategy calls — flag them; the attorney decides.\n- Don't re-litigate the research or re-investigate the facts; consume the upstream memo and brief as given.\n- Don't leave TODO markers, placeholders, or unresolved bracketed text in a draft you advance.\n- Don't introduce terms the brief and research don't support.\n",
+          "stageMd": "---\nname: draft\ndescription: Create legal documents and contracts\noptional: true\nhats: [drafter, editor, verifier]\nfix_hats: [classifier, drafter, feedback-assessor]\nreview: ask\nelaboration: collaborative\ninputs:\n  - stage: research\n    discovery: research-memo\n  - stage: intake\n    discovery: legal-brief\noutputs:\n  - output: draft-document\n    hat: drafter\n---\n\n# Draft\n\nTranslate the intake brief and the research memo into a concrete legal document — a contract, agreement, policy, exhibit, or filing. This is where the matter takes the form a counterparty will actually sign. The agent drafts; the licensed attorney owns the legal judgment, and every tactical choice is flagged for the attorney rather than decided here.\n\n## Scope\n\nAuthoring the document's operative language: clauses, defined terms, cross-references, and exhibits that execute the brief and reflect the research. Draft decides *what the document says* — not whether the underlying analysis is sound (research), and not whether the finished document holds up (review). Tactical legal calls (an indemnity stance, a liability cap, choice of governing law) are surfaced to the attorney, not chosen.\n\n## What to do\n\n- Draft the operative clauses for the unit's scope, with defined terms and clean cross-references, mapping each protective clause to the risk it addresses.\n- Keep defined-term usage, cross-references, exhibit completeness, and house style consistent across the document.\n- Flag every tactical or judgment-laden choice for the attorney instead of resolving it silently.\n- Trace the draft back to the brief and the memo so nothing in scope is left unaddressed.\n\n## What NOT to do\n\n- Don't make the legal-strategy calls — flag them; the attorney decides.\n- Don't re-litigate the research or re-investigate the facts; consume the upstream memo and brief as given.\n- Don't leave TODO markers, placeholders, or unresolved bracketed text in a draft you advance.\n- Don't introduce terms the brief and research don't support.\n",
           "stagePath": "plugin/studios/legal/stages/draft/STAGE.md",
           "hats": {
             "drafter": {
@@ -7027,6 +7227,7 @@
           "frontmatter": {
             "name": "execute",
             "description": "Finalize documents and coordinate signatures",
+            "optional": true,
             "hats": [
               "closer",
               "administrator",
@@ -7056,7 +7257,7 @@
               }
             ]
           },
-          "stageMd": "---\nname: execute\ndescription: Finalize documents and coordinate signatures\nhats: [closer, administrator, verifier]\nfix_hats: [classifier, closer, feedback-assessor]\nreview: await\nelaboration: autonomous\ninputs:\n  - stage: review\n    discovery: review-findings\n  - stage: draft\n    output: draft-document\noutputs:\n  - output: executed-document\n    hat: closer\n---\n\n# Execute\n\nThe closing stage of a legal matter: incorporate the resolved review findings, satisfy the execution formalities, route the document for signature, and file the executed copy with its audit trail. The agent coordinates the workflow; the licensed attorney is the authority of record on whether the document is ready to sign.\n\n## Scope\n\nFinalizing and formalizing the approved draft — incorporating findings, confirming signing authority and conditions precedent, handling notarization or witness requirements, and recording the executed state plus its audit trail. Execute decides *whether the document is ready and what its final state is* — not whether the language was right (draft) or whether it was reviewed (review). Anything affecting execution validity is escalated to the attorney.\n\n## What to do\n\n- Incorporate the resolved review findings into the body and produce the final document.\n- Confirm with the attorney that conditions precedent are satisfied and signing authority is in place before routing for signature.\n- Handle the execution formalities appropriate to the document type and jurisdictions, and record the key calendar dates (renewal, termination, compliance deadlines).\n- Keep a complete audit trail: the executed copy must match the approved draft plus the closer's recorded changes.\n\n## What NOT to do\n\n- Don't decide questions of execution validity (authority, notarization, conditions precedent) on your own — escalate them.\n- Don't reopen drafting or review judgments; execute formalizes what's already approved.\n- Don't self-advance the signature gate — the executed document is recorded when the external signing event actually arrives.\n- Don't file a document with an unresolved critical finding that lacks a documented attorney waiver.\n",
+          "stageMd": "---\nname: execute\ndescription: Finalize documents and coordinate signatures\noptional: true\nhats: [closer, administrator, verifier]\nfix_hats: [classifier, closer, feedback-assessor]\nreview: await\nelaboration: autonomous\ninputs:\n  - stage: review\n    discovery: review-findings\n  - stage: draft\n    output: draft-document\noutputs:\n  - output: executed-document\n    hat: closer\n---\n\n# Execute\n\nThe closing stage of a legal matter: incorporate the resolved review findings, satisfy the execution formalities, route the document for signature, and file the executed copy with its audit trail. The agent coordinates the workflow; the licensed attorney is the authority of record on whether the document is ready to sign.\n\n## Scope\n\nFinalizing and formalizing the approved draft — incorporating findings, confirming signing authority and conditions precedent, handling notarization or witness requirements, and recording the executed state plus its audit trail. Execute decides *whether the document is ready and what its final state is* — not whether the language was right (draft) or whether it was reviewed (review). Anything affecting execution validity is escalated to the attorney.\n\n## What to do\n\n- Incorporate the resolved review findings into the body and produce the final document.\n- Confirm with the attorney that conditions precedent are satisfied and signing authority is in place before routing for signature.\n- Handle the execution formalities appropriate to the document type and jurisdictions, and record the key calendar dates (renewal, termination, compliance deadlines).\n- Keep a complete audit trail: the executed copy must match the approved draft plus the closer's recorded changes.\n\n## What NOT to do\n\n- Don't decide questions of execution validity (authority, notarization, conditions precedent) on your own — escalate them.\n- Don't reopen drafting or review judgments; execute formalizes what's already approved.\n- Don't self-advance the signature gate — the executed document is recorded when the external signing event actually arrives.\n- Don't file a document with an unresolved critical finding that lacks a documented attorney waiver.\n",
           "stagePath": "plugin/studios/legal/stages/execute/STAGE.md",
           "hats": {
             "administrator": {
@@ -7119,9 +7320,10 @@
           "release"
         ],
         "category": "engineering",
-        "default_model": "sonnet"
+        "default_model": "sonnet",
+        "deprecated": true
       },
-      "studioMd": "---\nname: library-development\nslug: libdev\ndescription: Lifecycle for libraries, SDKs, and CLI tools\nstages: [inception, development, security, release]\ncategory: engineering\ndefault_model: sonnet\n---\n\n# Library Development\n\nLifecycle for libraries, SDKs, and CLI tools. Differs from application\ndevelopment: no product or design phases — inception directly covers discovery\nand API surface (semver policy, public contract, extension points), development\nbuilds against that contract, and release publishes rather than deploys.\n",
+      "studioMd": "---\nname: library-development\nslug: libdev\ndescription: Lifecycle for libraries, SDKs, and CLI tools\nstages: [inception, development, security, release]\ncategory: engineering\ndefault_model: sonnet\ndeprecated: true\n---\n\n> **Deprecated 2026-05-27.** Library / SDK / CLI work folded into the `software`\n> (appdev) studio, which now carries an optional `release` stage and drops\n> `design` / `product` / `operations` for non-application intents. This studio is\n> hidden from new-intent pickers but stays resolvable so in-flight `studio:\n> libdev` intents finish unchanged. Do not delete.\n\n# Library Development\n\nLifecycle for libraries, SDKs, and CLI tools. Differs from application\ndevelopment: no product or design phases — inception directly covers discovery\nand API surface (semver policy, public contract, extension points), development\nbuilds against that contract, and release publishes rather than deploys.\n",
       "studioPath": "plugin/studios/libdev/STUDIO.md",
       "stagesOrder": [
         "inception",
@@ -7131,6 +7333,18 @@
       ],
       "reflections": {},
       "operations": {},
+      "intentReviewAgents": {
+        "cross-stage-consistency": {
+          "content": "---\nmodel: opus\nscope: intent\ninterpretation: lens\n---\n**Mandate:** Verify the intent's artifacts are internally consistent across stages. You are the only reviewer that sees the whole intent at once — your job is to catch seams that per-stage reviewers miss.\n\n**Check:**\n- The agent **MUST** verify that each stage's outputs align with what upstream stages specified — no dropped requirements, no silent scope expansion\n- The agent **MUST** verify that naming is consistent across stages — a concept named one thing upstream should carry the same name downstream\n- The agent **MUST** verify that stages' declared outputs exist at the paths their unit frontmatter promised\n- The agent **MUST** verify that the stages collectively deliver the intent's stated goal (read `intent.md`) — partial delivery is a finding\n- The agent **MUST** verify that concerns raised by any stage's review were actually addressed (not silently ignored)\n\n**Anti-patterns (RFC 2119):**\n- The agent **MUST NOT** re-litigate decisions already approved at each stage's gate\n- The agent **MUST NOT** propose new features or scope additions\n- The agent **MUST NOT** flag stylistic preferences — concrete divergence only\n",
+          "frontmatter": {
+            "model": "opus",
+            "scope": "intent",
+            "interpretation": "lens"
+          },
+          "body": "**Mandate:** Verify the intent's artifacts are internally consistent across stages. You are the only reviewer that sees the whole intent at once — your job is to catch seams that per-stage reviewers miss.\n\n**Check:**\n- The agent **MUST** verify that each stage's outputs align with what upstream stages specified — no dropped requirements, no silent scope expansion\n- The agent **MUST** verify that naming is consistent across stages — a concept named one thing upstream should carry the same name downstream\n- The agent **MUST** verify that stages' declared outputs exist at the paths their unit frontmatter promised\n- The agent **MUST** verify that the stages collectively deliver the intent's stated goal (read `intent.md`) — partial delivery is a finding\n- The agent **MUST** verify that concerns raised by any stage's review were actually addressed (not silently ignored)\n\n**Anti-patterns (RFC 2119):**\n- The agent **MUST NOT** re-litigate decisions already approved at each stage's gate\n- The agent **MUST NOT** propose new features or scope additions\n- The agent **MUST NOT** flag stylistic preferences — concrete divergence only\n",
+          "path": "plugin/studios/libdev/intent-review-agents/cross-stage-consistency.md"
+        }
+      },
       "templates": {},
       "examples": {},
       "preIntents": {
@@ -7613,6 +7827,18 @@
         }
       },
       "operations": {},
+      "intentReviewAgents": {
+        "cross-stage-consistency": {
+          "content": "---\nmodel: opus\nscope: intent\ninterpretation: lens\n---\n**Mandate:** Verify the intent's artifacts are internally consistent across stages. You are the only reviewer that sees the whole intent at once — your job is to catch seams that per-stage reviewers miss.\n\n**Check:**\n- The agent **MUST** verify that each stage's outputs align with what upstream stages specified — no dropped requirements, no silent scope expansion\n- The agent **MUST** verify that naming is consistent across stages — a concept named one thing upstream should carry the same name downstream\n- The agent **MUST** verify that stages' declared outputs exist at the paths their unit frontmatter promised\n- The agent **MUST** verify that the stages collectively deliver the intent's stated goal (read `intent.md`) — partial delivery is a finding\n- The agent **MUST** verify that concerns raised by any stage's review were actually addressed (not silently ignored)\n\n**Anti-patterns (RFC 2119):**\n- The agent **MUST NOT** re-litigate decisions already approved at each stage's gate\n- The agent **MUST NOT** propose new features or scope additions\n- The agent **MUST NOT** flag stylistic preferences — concrete divergence only\n",
+          "frontmatter": {
+            "model": "opus",
+            "scope": "intent",
+            "interpretation": "lens"
+          },
+          "body": "**Mandate:** Verify the intent's artifacts are internally consistent across stages. You are the only reviewer that sees the whole intent at once — your job is to catch seams that per-stage reviewers miss.\n\n**Check:**\n- The agent **MUST** verify that each stage's outputs align with what upstream stages specified — no dropped requirements, no silent scope expansion\n- The agent **MUST** verify that naming is consistent across stages — a concept named one thing upstream should carry the same name downstream\n- The agent **MUST** verify that stages' declared outputs exist at the paths their unit frontmatter promised\n- The agent **MUST** verify that the stages collectively deliver the intent's stated goal (read `intent.md`) — partial delivery is a finding\n- The agent **MUST** verify that concerns raised by any stage's review were actually addressed (not silently ignored)\n\n**Anti-patterns (RFC 2119):**\n- The agent **MUST NOT** re-litigate decisions already approved at each stage's gate\n- The agent **MUST NOT** propose new features or scope additions\n- The agent **MUST NOT** flag stylistic preferences — concrete divergence only\n",
+          "path": "plugin/studios/marketing/intent-review-agents/cross-stage-consistency.md"
+        }
+      },
       "templates": {
         "product-launch": {
           "content": "---\nname: product-launch\nstudio: marketing\ndescription: Launch campaign for a new product or feature\nparameters:\n  - name: product\n    description: Product or feature being launched\n    required: true\n  - name: launch_date\n    description: Target launch date\n    required: false\n  - name: target_audience\n    description: Primary audience segment\n    required: false\nunits:\n  - name: \"audience-research\"\n    stage: research\n    criteria:\n      - \"Target audience for {{ product }} defined with observable characteristics\"\n      - \"Competitive messaging landscape mapped\"\n      - \"Key differentiators identified\"\n  - name: \"messaging-framework\"\n    stage: strategy\n    criteria:\n      - \"Core messaging defined (headline, value props, proof points)\"\n      - \"Channel strategy aligned with audience behavior\"\n      - \"KPIs defined with targets\"\n  - name: \"launch-assets\"\n    stage: content\n    criteria:\n      - \"Landing page copy finalized\"\n      - \"Email sequences drafted\"\n      - \"Social content calendar populated\"\n  - name: \"go-live\"\n    stage: launch\n    criteria:\n      - \"All assets live and tracking verified\"\n      - \"Distribution channels activated\"\n      - \"Day-1 metrics baseline captured\"\n---\n\nProduct launch campaign through the full marketing lifecycle.\n",
@@ -7982,6 +8208,7 @@
           "frontmatter": {
             "name": "launch",
             "description": "Coordinate multi-channel launch, schedule distribution, and activate campaigns",
+            "optional": true,
             "hats": [
               "campaign-manager",
               "channel-coordinator",
@@ -8001,7 +8228,7 @@
               }
             ]
           },
-          "stageMd": "---\nname: launch\ndescription: Coordinate multi-channel launch, schedule distribution, and activate campaigns\nhats: [campaign-manager, channel-coordinator, verifier]\nfix_hats: [classifier, campaign-manager, feedback-assessor]\nreview: ask\nelaboration: autonomous\ninputs:\n  - stage: content\n    discovery: assets\n---\n\n# Launch\n\nTake the approved content and put it live: sequence the activations across channels, verify each prerequisite before go-live, publish on schedule, and log what actually happened. This is the operational stage of the campaign — once channels activate, the cost of recall is real, so readiness is confirmed before each step fires.\n\n## Scope\n\nCoordinating and executing the multi-channel activation. Launch decides *what goes live, in what order, with which tracking, and when* — not the assets themselves (content) or the results analysis (measure). Units are launch steps with preconditions, an action, and a post-condition check; the output is the campaign log measure reads.\n\n## What to do\n\n- Sequence the activations and declare per-step preconditions, the action, and a post-condition check before firing.\n- Verify prerequisites are actually in place before each go-live — tracking pixels before paid traffic, landing pages before email sends.\n- Publish on schedule and log actual timestamps, channel, tracking, and initial signals.\n- Name a rollback or recall path for steps where one is possible.\n\n## What NOT to do\n\n- Don't author or rewrite assets here — that's the content stage; launch distributes what was approved.\n- Don't analyze or attribute results; that's measure reading the log you produce.\n- Don't fire a step whose preconditions or tracking aren't confirmed in place.\n- Don't activate channels the content and strategy didn't scope.\n",
+          "stageMd": "---\nname: launch\ndescription: Coordinate multi-channel launch, schedule distribution, and activate campaigns\noptional: true\nhats: [campaign-manager, channel-coordinator, verifier]\nfix_hats: [classifier, campaign-manager, feedback-assessor]\nreview: ask\nelaboration: autonomous\ninputs:\n  - stage: content\n    discovery: assets\n---\n\n# Launch\n\nTake the approved content and put it live: sequence the activations across channels, verify each prerequisite before go-live, publish on schedule, and log what actually happened. This is the operational stage of the campaign — once channels activate, the cost of recall is real, so readiness is confirmed before each step fires.\n\n## Scope\n\nCoordinating and executing the multi-channel activation. Launch decides *what goes live, in what order, with which tracking, and when* — not the assets themselves (content) or the results analysis (measure). Units are launch steps with preconditions, an action, and a post-condition check; the output is the campaign log measure reads.\n\n## What to do\n\n- Sequence the activations and declare per-step preconditions, the action, and a post-condition check before firing.\n- Verify prerequisites are actually in place before each go-live — tracking pixels before paid traffic, landing pages before email sends.\n- Publish on schedule and log actual timestamps, channel, tracking, and initial signals.\n- Name a rollback or recall path for steps where one is possible.\n\n## What NOT to do\n\n- Don't author or rewrite assets here — that's the content stage; launch distributes what was approved.\n- Don't analyze or attribute results; that's measure reading the log you produce.\n- Don't fire a step whose preconditions or tracking aren't confirmed in place.\n- Don't activate channels the content and strategy didn't scope.\n",
           "stagePath": "plugin/studios/marketing/stages/launch/STAGE.md",
           "hats": {
             "campaign-manager": {
@@ -8066,6 +8293,7 @@
           "frontmatter": {
             "name": "measure",
             "description": "Track KPIs, analyze performance, and generate insights and recommendations",
+            "optional": true,
             "hats": [
               "analyst",
               "report-writer",
@@ -8085,7 +8313,7 @@
               }
             ]
           },
-          "stageMd": "---\nname: measure\ndescription: Track KPIs, analyze performance, and generate insights and recommendations\nhats: [analyst, report-writer, verifier]\nfix_hats: [classifier, analyst, feedback-assessor]\nreview: auto\nelaboration: autonomous\ninputs:\n  - stage: launch\n    discovery: campaign-log\n---\n\n# Measure\n\nClose the loop on the campaign: read what actually happened from the launch log and the channel platforms, compare it against the goals strategy defined, attribute outcomes to specific decisions, and produce recommendations the next campaign can act on. This stage exists to make the next campaign better than this one.\n\n## Scope\n\nPerformance analysis and recommendations. Measure decides *what the results were, why, and what to do differently next time* — not the live activation it grades (launch) or the goals it grades against (strategy). Units are measurement surfaces (channel, segment, asset, overall-vs-goal); they may share data but produce distinct analytic lenses.\n\n## What to do\n\n- Pull performance data per channel, segment, and asset, and compare actual KPIs to the strategy's targets using the strategy's own definitions.\n- State the attribution model explicitly and segment the data to find the patterns that explain the result.\n- Be honest about statistical caveats and the limits of what the data can support.\n- Tie every recommendation to a specific finding so the next campaign can act on evidence, not opinion.\n\n## What NOT to do\n\n- Don't redefine the KPIs to flatter the result — measure against the strategy's definitions as written.\n- Don't relaunch, re-author assets, or change live channels; measure analyzes, it doesn't operate.\n- Don't claim attribution the data can't support, or bury the caveats.\n- Don't produce recommendations that float free of a finding.\n",
+          "stageMd": "---\nname: measure\ndescription: Track KPIs, analyze performance, and generate insights and recommendations\noptional: true\nhats: [analyst, report-writer, verifier]\nfix_hats: [classifier, analyst, feedback-assessor]\nreview: auto\nelaboration: autonomous\ninputs:\n  - stage: launch\n    discovery: campaign-log\n---\n\n# Measure\n\nClose the loop on the campaign: read what actually happened from the launch log and the channel platforms, compare it against the goals strategy defined, attribute outcomes to specific decisions, and produce recommendations the next campaign can act on. This stage exists to make the next campaign better than this one.\n\n## Scope\n\nPerformance analysis and recommendations. Measure decides *what the results were, why, and what to do differently next time* — not the live activation it grades (launch) or the goals it grades against (strategy). Units are measurement surfaces (channel, segment, asset, overall-vs-goal); they may share data but produce distinct analytic lenses.\n\n## What to do\n\n- Pull performance data per channel, segment, and asset, and compare actual KPIs to the strategy's targets using the strategy's own definitions.\n- State the attribution model explicitly and segment the data to find the patterns that explain the result.\n- Be honest about statistical caveats and the limits of what the data can support.\n- Tie every recommendation to a specific finding so the next campaign can act on evidence, not opinion.\n\n## What NOT to do\n\n- Don't redefine the KPIs to flatter the result — measure against the strategy's definitions as written.\n- Don't relaunch, re-author assets, or change live channels; measure analyzes, it doesn't operate.\n- Don't claim attribution the data can't support, or bury the caveats.\n- Don't produce recommendations that float free of a finding.\n",
           "stagePath": "plugin/studios/marketing/stages/measure/STAGE.md",
           "hats": {
             "analyst": {
@@ -8193,6 +8421,18 @@
         }
       },
       "operations": {},
+      "intentReviewAgents": {
+        "cross-stage-consistency": {
+          "content": "---\nmodel: opus\nscope: intent\ninterpretation: lens\n---\n**Mandate:** Verify the intent's artifacts are internally consistent across stages. You are the only reviewer that sees the whole intent at once — your job is to catch seams that per-stage reviewers miss.\n\n**Check:**\n- The agent **MUST** verify that each stage's outputs align with what upstream stages specified — no dropped requirements, no silent scope expansion\n- The agent **MUST** verify that naming is consistent across stages — a concept named one thing upstream should carry the same name downstream\n- The agent **MUST** verify that stages' declared outputs exist at the paths their unit frontmatter promised\n- The agent **MUST** verify that the stages collectively deliver the intent's stated goal (read `intent.md`) — partial delivery is a finding\n- The agent **MUST** verify that concerns raised by any stage's review were actually addressed (not silently ignored)\n\n**Anti-patterns (RFC 2119):**\n- The agent **MUST NOT** re-litigate decisions already approved at each stage's gate\n- The agent **MUST NOT** propose new features or scope additions\n- The agent **MUST NOT** flag stylistic preferences — concrete divergence only\n",
+          "frontmatter": {
+            "model": "opus",
+            "scope": "intent",
+            "interpretation": "lens"
+          },
+          "body": "**Mandate:** Verify the intent's artifacts are internally consistent across stages. You are the only reviewer that sees the whole intent at once — your job is to catch seams that per-stage reviewers miss.\n\n**Check:**\n- The agent **MUST** verify that each stage's outputs align with what upstream stages specified — no dropped requirements, no silent scope expansion\n- The agent **MUST** verify that naming is consistent across stages — a concept named one thing upstream should carry the same name downstream\n- The agent **MUST** verify that stages' declared outputs exist at the paths their unit frontmatter promised\n- The agent **MUST** verify that the stages collectively deliver the intent's stated goal (read `intent.md`) — partial delivery is a finding\n- The agent **MUST** verify that concerns raised by any stage's review were actually addressed (not silently ignored)\n\n**Anti-patterns (RFC 2119):**\n- The agent **MUST NOT** re-litigate decisions already approved at each stage's gate\n- The agent **MUST NOT** propose new features or scope additions\n- The agent **MUST NOT** flag stylistic preferences — concrete divergence only\n",
+          "path": "plugin/studios/migration/intent-review-agents/cross-stage-consistency.md"
+        }
+      },
       "templates": {},
       "examples": {},
       "preIntents": {
@@ -8584,6 +8824,7 @@
           "frontmatter": {
             "name": "cutover",
             "description": "Plan and execute the production cutover with rollback procedures",
+            "optional": true,
             "hats": [
               "cutover-coordinator",
               "rollback-engineer",
@@ -8617,7 +8858,7 @@
               }
             ]
           },
-          "stageMd": "---\nname: cutover\ndescription: Plan and execute the production cutover with rollback procedures\nhats: [cutover-coordinator, rollback-engineer, verifier]\nfix_hats: [classifier, cutover-coordinator, feedback-assessor]\nreview: external\nelaboration: collaborative\ninputs:\n  - stage: validation\n    discovery: validation-report\nreview-agents-include:\n  - stage: migrate\n    agents: [data-integrity]\n  - stage: validation\n    agents: [parity]\n---\n\n# Cutover\n\nPlan and execute the production cutover: the runbook the on-call team follows during the maintenance window, with a rollback procedure or an explicit forward-fix rationale for every step. This is the operational stage of the migration — the point where the validated work goes live, and the point of no return is real.\n\n## Scope\n\nAuthoring and executing the cutover runbook. Cutover decides *how the production switch happens, in what order, with what go/no-go gates and rollback paths* — not whether the migration is correct (validation) or how the data moves (migrate). Units are operational steps: preconditions, action, post-condition check, and a named rollback or a stated reason none exists.\n\n## What to do\n\n- Sequence each step with preconditions, owner, expected duration, action, post-condition check, and go/no-go criteria.\n- Pair every step with its rollback procedure, or state explicitly why the step is forward-fix only and mark the point of no return.\n- Define a data-sync strategy for writes that arrive during the maintenance window.\n- Make each post-condition produce a mechanical pass/fail signal the on-call team can act on without judgment calls.\n\n## What NOT to do\n\n- Don't proceed on a migration the validation stage hasn't signed off, including the rollback rehearsal.\n- Don't change migration code or mappings here; cutover executes, it doesn't rebuild.\n- Don't write a step with no rollback and no stated forward-fix rationale.\n- Don't self-advance the cutover gate — the runbook proceeds through the team's actual change-management approval.\n",
+          "stageMd": "---\nname: cutover\ndescription: Plan and execute the production cutover with rollback procedures\noptional: true\nhats: [cutover-coordinator, rollback-engineer, verifier]\nfix_hats: [classifier, cutover-coordinator, feedback-assessor]\nreview: external\nelaboration: collaborative\ninputs:\n  - stage: validation\n    discovery: validation-report\nreview-agents-include:\n  - stage: migrate\n    agents: [data-integrity]\n  - stage: validation\n    agents: [parity]\n---\n\n# Cutover\n\nPlan and execute the production cutover: the runbook the on-call team follows during the maintenance window, with a rollback procedure or an explicit forward-fix rationale for every step. This is the operational stage of the migration — the point where the validated work goes live, and the point of no return is real.\n\n## Scope\n\nAuthoring and executing the cutover runbook. Cutover decides *how the production switch happens, in what order, with what go/no-go gates and rollback paths* — not whether the migration is correct (validation) or how the data moves (migrate). Units are operational steps: preconditions, action, post-condition check, and a named rollback or a stated reason none exists.\n\n## What to do\n\n- Sequence each step with preconditions, owner, expected duration, action, post-condition check, and go/no-go criteria.\n- Pair every step with its rollback procedure, or state explicitly why the step is forward-fix only and mark the point of no return.\n- Define a data-sync strategy for writes that arrive during the maintenance window.\n- Make each post-condition produce a mechanical pass/fail signal the on-call team can act on without judgment calls.\n\n## What NOT to do\n\n- Don't proceed on a migration the validation stage hasn't signed off, including the rollback rehearsal.\n- Don't change migration code or mappings here; cutover executes, it doesn't rebuild.\n- Don't write a step with no rollback and no stated forward-fix rationale.\n- Don't self-advance the cutover gate — the runbook proceeds through the team's actual change-management approval.\n",
           "stagePath": "plugin/studios/migration/stages/cutover/STAGE.md",
           "hats": {
             "cutover-coordinator": {
@@ -8727,6 +8968,18 @@
         }
       },
       "operations": {},
+      "intentReviewAgents": {
+        "cross-stage-consistency": {
+          "content": "---\nmodel: opus\nscope: intent\ninterpretation: lens\n---\n**Mandate:** Verify the intent's artifacts are internally consistent across stages. You are the only reviewer that sees the whole intent at once — your job is to catch seams that per-stage reviewers miss.\n\n**Check:**\n- The agent **MUST** verify that each stage's outputs align with what upstream stages specified — no dropped requirements, no silent scope expansion\n- The agent **MUST** verify that naming is consistent across stages — a concept named one thing upstream should carry the same name downstream\n- The agent **MUST** verify that stages' declared outputs exist at the paths their unit frontmatter promised\n- The agent **MUST** verify that the stages collectively deliver the intent's stated goal (read `intent.md`) — partial delivery is a finding\n- The agent **MUST** verify that concerns raised by any stage's review were actually addressed (not silently ignored)\n\n**Anti-patterns (RFC 2119):**\n- The agent **MUST NOT** re-litigate decisions already approved at each stage's gate\n- The agent **MUST NOT** propose new features or scope additions\n- The agent **MUST NOT** flag stylistic preferences — concrete divergence only\n",
+          "frontmatter": {
+            "model": "opus",
+            "scope": "intent",
+            "interpretation": "lens"
+          },
+          "body": "**Mandate:** Verify the intent's artifacts are internally consistent across stages. You are the only reviewer that sees the whole intent at once — your job is to catch seams that per-stage reviewers miss.\n\n**Check:**\n- The agent **MUST** verify that each stage's outputs align with what upstream stages specified — no dropped requirements, no silent scope expansion\n- The agent **MUST** verify that naming is consistent across stages — a concept named one thing upstream should carry the same name downstream\n- The agent **MUST** verify that stages' declared outputs exist at the paths their unit frontmatter promised\n- The agent **MUST** verify that the stages collectively deliver the intent's stated goal (read `intent.md`) — partial delivery is a finding\n- The agent **MUST** verify that concerns raised by any stage's review were actually addressed (not silently ignored)\n\n**Anti-patterns (RFC 2119):**\n- The agent **MUST NOT** re-litigate decisions already approved at each stage's gate\n- The agent **MUST NOT** propose new features or scope additions\n- The agent **MUST NOT** flag stylistic preferences — concrete divergence only\n",
+          "path": "plugin/studios/product-strategy/intent-review-agents/cross-stage-consistency.md"
+        }
+      },
       "templates": {},
       "examples": {},
       "preIntents": {
@@ -8854,6 +9107,7 @@
           "frontmatter": {
             "name": "user-research",
             "description": "Understand user needs, pain points, and jobs-to-be-done",
+            "optional": true,
             "hats": [
               "user-researcher",
               "insights-synthesizer",
@@ -8873,7 +9127,7 @@
               }
             ]
           },
-          "stageMd": "---\nname: user-research\ndescription: Understand user needs, pain points, and jobs-to-be-done\nhats: [user-researcher, insights-synthesizer, verifier]\nfix_hats: [classifier, user-researcher, feedback-assessor]\nreview: ask\nelaboration: collaborative\ninputs:\n  - stage: discovery\n    discovery: market-landscape\n---\n\n# User Research\n\nTurn the market view into a grounded understanding of real users — who they are, what they're trying to get done, where they're stuck, and what they've already tried. This is a research and distillation stage; each unit is a knowledge topic (a persona, a job-to-be-done, a workflow surface) the rest of the lifecycle depends on.\n\n## Scope\n\nUser needs, pain points, and jobs-to-be-done. User-research decides *who the users are and what they're trying to accomplish* — not the market shape around them (discovery), how their needs rank against each other (prioritization), or what gets built (roadmap). It scopes which segments matter using the market landscape, then grounds them in real signal.\n\n## What to do\n\n- Design the inquiry per topic — questions, segments, the mix of qualitative and quantitative signal — and capture raw findings.\n- Distill findings into patterns, segment differences, and jobs-to-be-done stated in the user's own language.\n- Name the tensions and contradictions in the signal rather than smoothing them over.\n- Keep every insight substantive, sourced, and internally consistent.\n\n## What NOT to do\n\n- Don't re-map the market or competitive landscape — that's discovery feeding this stage.\n- Don't score, rank, or sequence; prioritization and roadmap own those decisions.\n- Don't present an internal assumption as a user finding without signal behind it.\n- Don't resolve a real tension by ignoring half the data — surface it for prioritization to weigh.\n",
+          "stageMd": "---\nname: user-research\ndescription: Understand user needs, pain points, and jobs-to-be-done\noptional: true\nhats: [user-researcher, insights-synthesizer, verifier]\nfix_hats: [classifier, user-researcher, feedback-assessor]\nreview: ask\nelaboration: collaborative\ninputs:\n  - stage: discovery\n    discovery: market-landscape\n---\n\n# User Research\n\nTurn the market view into a grounded understanding of real users — who they are, what they're trying to get done, where they're stuck, and what they've already tried. This is a research and distillation stage; each unit is a knowledge topic (a persona, a job-to-be-done, a workflow surface) the rest of the lifecycle depends on.\n\n## Scope\n\nUser needs, pain points, and jobs-to-be-done. User-research decides *who the users are and what they're trying to accomplish* — not the market shape around them (discovery), how their needs rank against each other (prioritization), or what gets built (roadmap). It scopes which segments matter using the market landscape, then grounds them in real signal.\n\n## What to do\n\n- Design the inquiry per topic — questions, segments, the mix of qualitative and quantitative signal — and capture raw findings.\n- Distill findings into patterns, segment differences, and jobs-to-be-done stated in the user's own language.\n- Name the tensions and contradictions in the signal rather than smoothing them over.\n- Keep every insight substantive, sourced, and internally consistent.\n\n## What NOT to do\n\n- Don't re-map the market or competitive landscape — that's discovery feeding this stage.\n- Don't score, rank, or sequence; prioritization and roadmap own those decisions.\n- Don't present an internal assumption as a user finding without signal behind it.\n- Don't resolve a real tension by ignoring half the data — surface it for prioritization to weigh.\n",
           "stagePath": "plugin/studios/product-strategy/stages/user-research/STAGE.md",
           "hats": {
             "insights-synthesizer": {
@@ -9108,6 +9362,7 @@
           "frontmatter": {
             "name": "stakeholder-review",
             "description": "Present to stakeholders, gather feedback, gain alignment",
+            "optional": true,
             "hats": [
               "presenter",
               "feedback-synthesizer",
@@ -9127,7 +9382,7 @@
               }
             ]
           },
-          "stageMd": "---\nname: stakeholder-review\ndescription: Present to stakeholders, gather feedback, gain alignment\nhats: [presenter, feedback-synthesizer, verifier]\nfix_hats: [classifier, presenter, feedback-assessor]\nreview: external\nelaboration: collaborative\ninputs:\n  - stage: roadmap\n    discovery: roadmap-doc\n---\n\n# Stakeholder Review\n\nTake the roadmap to the people who have to commit against it — executives, engineering leadership, sales, support — and come out with a decision, not just a meeting. This terminal stage owns the framing, the synthesis of what came back, and the record of who agreed to what.\n\n## Scope\n\nPresenting the roadmap, capturing stakeholder reactions, and recording the alignment reached. Stakeholder-review decides *whether the plan is committed to and by whom* — not what the plan is (roadmap) or why it's ordered that way (prioritization). The output is an alignment record: named decisions, named decision-makers, and owned action items.\n\n## What to do\n\n- Shape the roadmap into an audience-appropriate narrative per stakeholder group — executive summary, strategic rationale, risk surface, and the specific ask.\n- Record the actual stakeholder reactions and classify each as strategy-changing, refining, or noted-but-not-acted-on.\n- Capture named decisions with named decision-makers, and an escalation path for every contested item.\n- Give every action item an owner.\n\n## What NOT to do\n\n- Don't redesign the roadmap mid-review — surface that a change is needed and route it back to the roadmap stage.\n- Don't re-rank opportunities or re-research; this stage aligns on the plan as presented.\n- Don't record a decision with no named decision-maker, or an action item with no owner.\n- Don't self-advance the alignment gate — it confirms when the external decision-making body actually signals.\n",
+          "stageMd": "---\nname: stakeholder-review\ndescription: Present to stakeholders, gather feedback, gain alignment\noptional: true\nhats: [presenter, feedback-synthesizer, verifier]\nfix_hats: [classifier, presenter, feedback-assessor]\nreview: external\nelaboration: collaborative\ninputs:\n  - stage: roadmap\n    discovery: roadmap-doc\n---\n\n# Stakeholder Review\n\nTake the roadmap to the people who have to commit against it — executives, engineering leadership, sales, support — and come out with a decision, not just a meeting. This terminal stage owns the framing, the synthesis of what came back, and the record of who agreed to what.\n\n## Scope\n\nPresenting the roadmap, capturing stakeholder reactions, and recording the alignment reached. Stakeholder-review decides *whether the plan is committed to and by whom* — not what the plan is (roadmap) or why it's ordered that way (prioritization). The output is an alignment record: named decisions, named decision-makers, and owned action items.\n\n## What to do\n\n- Shape the roadmap into an audience-appropriate narrative per stakeholder group — executive summary, strategic rationale, risk surface, and the specific ask.\n- Record the actual stakeholder reactions and classify each as strategy-changing, refining, or noted-but-not-acted-on.\n- Capture named decisions with named decision-makers, and an escalation path for every contested item.\n- Give every action item an owner.\n\n## What NOT to do\n\n- Don't redesign the roadmap mid-review — surface that a change is needed and route it back to the roadmap stage.\n- Don't re-rank opportunities or re-research; this stage aligns on the plan as presented.\n- Don't record a decision with no named decision-maker, or an action item with no owner.\n- Don't self-advance the alignment gate — it confirms when the external decision-making body actually signals.\n",
           "stagePath": "plugin/studios/product-strategy/stages/stakeholder-review/STAGE.md",
           "hats": {
             "feedback-synthesizer": {
@@ -9216,6 +9471,18 @@
       ],
       "reflections": {},
       "operations": {},
+      "intentReviewAgents": {
+        "cross-stage-consistency": {
+          "content": "---\nmodel: opus\nscope: intent\ninterpretation: lens\n---\n**Mandate:** Verify the intent's artifacts are internally consistent across stages. You are the only reviewer that sees the whole intent at once — your job is to catch seams that per-stage reviewers miss.\n\n**Check:**\n- The agent **MUST** verify that each stage's outputs align with what upstream stages specified — no dropped requirements, no silent scope expansion\n- The agent **MUST** verify that naming is consistent across stages — a concept named one thing upstream should carry the same name downstream\n- The agent **MUST** verify that stages' declared outputs exist at the paths their unit frontmatter promised\n- The agent **MUST** verify that the stages collectively deliver the intent's stated goal (read `intent.md`) — partial delivery is a finding\n- The agent **MUST** verify that concerns raised by any stage's review were actually addressed (not silently ignored)\n\n**Anti-patterns (RFC 2119):**\n- The agent **MUST NOT** re-litigate decisions already approved at each stage's gate\n- The agent **MUST NOT** propose new features or scope additions\n- The agent **MUST NOT** flag stylistic preferences — concrete divergence only\n",
+          "frontmatter": {
+            "model": "opus",
+            "scope": "intent",
+            "interpretation": "lens"
+          },
+          "body": "**Mandate:** Verify the intent's artifacts are internally consistent across stages. You are the only reviewer that sees the whole intent at once — your job is to catch seams that per-stage reviewers miss.\n\n**Check:**\n- The agent **MUST** verify that each stage's outputs align with what upstream stages specified — no dropped requirements, no silent scope expansion\n- The agent **MUST** verify that naming is consistent across stages — a concept named one thing upstream should carry the same name downstream\n- The agent **MUST** verify that stages' declared outputs exist at the paths their unit frontmatter promised\n- The agent **MUST** verify that the stages collectively deliver the intent's stated goal (read `intent.md`) — partial delivery is a finding\n- The agent **MUST** verify that concerns raised by any stage's review were actually addressed (not silently ignored)\n\n**Anti-patterns (RFC 2119):**\n- The agent **MUST NOT** re-litigate decisions already approved at each stage's gate\n- The agent **MUST NOT** propose new features or scope additions\n- The agent **MUST NOT** flag stylistic preferences — concrete divergence only\n",
+          "path": "plugin/studios/project-management/intent-review-agents/cross-stage-consistency.md"
+        }
+      },
       "templates": {},
       "examples": {},
       "preIntents": {
@@ -9530,6 +9797,7 @@
           "frontmatter": {
             "name": "report",
             "description": "Create stakeholder updates and project dashboards",
+            "optional": true,
             "hats": [
               "reporter",
               "communicator",
@@ -9564,7 +9832,7 @@
               }
             ]
           },
-          "stageMd": "---\nname: report\ndescription: Create stakeholder updates and project dashboards\nhats: [reporter, communicator, verifier]\nfix_hats: [classifier, reporter, communicator, feedback-assessor]\nreview: ask\nelaboration: autonomous\ninputs:\n  - stage: track\n    discovery: status-report\n  - stage: plan\n    discovery: project-plan\n  - stage: charter\n    discovery: project-charter\noutputs:\n  - discovery: project-dashboard\n    hat: communicator\n---\n\n# Report\n\nTurn raw tracking data into stakeholder-ready communication: an executive dashboard, role-tailored status reports, and clearly surfaced decisions or escalations that need action. Report is downstream of track — its accuracy depends entirely on tracking quality, and its job is to present that data faithfully, not to reinterpret it.\n\n## Scope\n\nDashboards, audience-tailored status reports, forecasts, and decision/escalation callouts. Report decides *how project state is communicated and to whom* — not what the underlying state is (track), what the plan was (plan), or what success means (charter). Units are reporting surfaces: a dashboard panel, a role-specific report, a forecast, an escalation.\n\n## What to do\n\n- Pick metrics and objective health thresholds, and forecast from actual velocity rather than the original plan.\n- Tailor the content for each audience — executive, sponsor, team lead, dependent team — and set the cadence and channel per group.\n- Surface required decisions and action items explicitly so stakeholders know what's being asked of them.\n- Source every figure to the tracking data so presentation never drifts from reality.\n\n## What NOT to do\n\n- Don't invent or adjust the underlying numbers — report presents what track recorded; a data problem is a revisit to track.\n- Don't accept or close deliverables; that's the close stage.\n- Don't use a subjective health indicator where an objective threshold applies.\n- Don't let presentation drift from the source data, or omit a decision the data demands.\n",
+          "stageMd": "---\nname: report\ndescription: Create stakeholder updates and project dashboards\noptional: true\nhats: [reporter, communicator, verifier]\nfix_hats: [classifier, reporter, communicator, feedback-assessor]\nreview: ask\nelaboration: autonomous\ninputs:\n  - stage: track\n    discovery: status-report\n  - stage: plan\n    discovery: project-plan\n  - stage: charter\n    discovery: project-charter\noutputs:\n  - discovery: project-dashboard\n    hat: communicator\n---\n\n# Report\n\nTurn raw tracking data into stakeholder-ready communication: an executive dashboard, role-tailored status reports, and clearly surfaced decisions or escalations that need action. Report is downstream of track — its accuracy depends entirely on tracking quality, and its job is to present that data faithfully, not to reinterpret it.\n\n## Scope\n\nDashboards, audience-tailored status reports, forecasts, and decision/escalation callouts. Report decides *how project state is communicated and to whom* — not what the underlying state is (track), what the plan was (plan), or what success means (charter). Units are reporting surfaces: a dashboard panel, a role-specific report, a forecast, an escalation.\n\n## What to do\n\n- Pick metrics and objective health thresholds, and forecast from actual velocity rather than the original plan.\n- Tailor the content for each audience — executive, sponsor, team lead, dependent team — and set the cadence and channel per group.\n- Surface required decisions and action items explicitly so stakeholders know what's being asked of them.\n- Source every figure to the tracking data so presentation never drifts from reality.\n\n## What NOT to do\n\n- Don't invent or adjust the underlying numbers — report presents what track recorded; a data problem is a revisit to track.\n- Don't accept or close deliverables; that's the close stage.\n- Don't use a subjective health indicator where an objective threshold applies.\n- Don't let presentation drift from the source data, or omit a decision the data demands.\n",
           "stagePath": "plugin/studios/project-management/stages/report/STAGE.md",
           "hats": {
             "communicator": {
@@ -9616,6 +9884,7 @@
           "frontmatter": {
             "name": "close",
             "description": "Conduct retrospective, capture lessons learned, and handoff",
+            "optional": true,
             "hats": [
               "closer",
               "archivist",
@@ -9654,7 +9923,7 @@
               }
             ]
           },
-          "stageMd": "---\nname: close\ndescription: Conduct retrospective, capture lessons learned, and handoff\nhats: [closer, archivist, verifier]\nfix_hats: [classifier, closer, archivist, feedback-assessor]\nreview: ask\nelaboration: autonomous\ninputs:\n  - stage: report\n    output: project-dashboard\n  - stage: track\n    discovery: status-report\n  - stage: charter\n    discovery: project-charter\noutputs:\n  - discovery: retrospective\n    hat: archivist\n  - discovery: lessons-learned\n    hat: archivist\n---\n\n# Close\n\nFormally close the project: confirm deliverable acceptance against the charter, transfer ownership of any ongoing surfaces, resolve or defer open items, run the retrospective, and archive documentation so future projects can learn from this one. Close is the last contract — anything not captured here is lost institutional knowledge.\n\n## Scope\n\nDeliverable acceptance, ownership transfer, open-item disposition, the retrospective, and the archive. Close decides *whether the project is done, who owns what's left, and what was learned* — not what was promised (charter) or how state was tracked and reported (track, report). Units are closeout surfaces.\n\n## What to do\n\n- Verify each charter deliverable against its acceptance criteria and obtain formal sponsor sign-off.\n- Disposition every open item — assigned to an owner with a date, or formally deferred with a stated rationale.\n- Run the retrospective and capture lessons learned, categorized as process, technical, or organizational.\n- Organize the documentation so a future project can actually retrieve and learn from it.\n\n## What NOT to do\n\n- Don't accept a deliverable that doesn't meet its charter criteria, or sign off with criteria unproven.\n- Don't reopen planning, tracking, or reporting; close accepts the work, it doesn't redo it.\n- Don't leave an open item without an owner and a date, or defer one without rationale.\n- Don't record generic lessons (\"communicate better\") instead of project-specific, transferable ones.\n",
+          "stageMd": "---\nname: close\ndescription: Conduct retrospective, capture lessons learned, and handoff\noptional: true\nhats: [closer, archivist, verifier]\nfix_hats: [classifier, closer, archivist, feedback-assessor]\nreview: ask\nelaboration: autonomous\ninputs:\n  - stage: report\n    output: project-dashboard\n  - stage: track\n    discovery: status-report\n  - stage: charter\n    discovery: project-charter\noutputs:\n  - discovery: retrospective\n    hat: archivist\n  - discovery: lessons-learned\n    hat: archivist\n---\n\n# Close\n\nFormally close the project: confirm deliverable acceptance against the charter, transfer ownership of any ongoing surfaces, resolve or defer open items, run the retrospective, and archive documentation so future projects can learn from this one. Close is the last contract — anything not captured here is lost institutional knowledge.\n\n## Scope\n\nDeliverable acceptance, ownership transfer, open-item disposition, the retrospective, and the archive. Close decides *whether the project is done, who owns what's left, and what was learned* — not what was promised (charter) or how state was tracked and reported (track, report). Units are closeout surfaces.\n\n## What to do\n\n- Verify each charter deliverable against its acceptance criteria and obtain formal sponsor sign-off.\n- Disposition every open item — assigned to an owner with a date, or formally deferred with a stated rationale.\n- Run the retrospective and capture lessons learned, categorized as process, technical, or organizational.\n- Organize the documentation so a future project can actually retrieve and learn from it.\n\n## What NOT to do\n\n- Don't accept a deliverable that doesn't meet its charter criteria, or sign off with criteria unproven.\n- Don't reopen planning, tracking, or reporting; close accepts the work, it doesn't redo it.\n- Don't leave an open item without an owner and a date, or defer one without rationale.\n- Don't record generic lessons (\"communicate better\") instead of project-specific, transferable ones.\n",
           "stagePath": "plugin/studios/project-management/stages/close/STAGE.md",
           "hats": {
             "archivist": {
@@ -9743,6 +10012,18 @@
       ],
       "reflections": {},
       "operations": {},
+      "intentReviewAgents": {
+        "cross-stage-consistency": {
+          "content": "---\nmodel: opus\nscope: intent\ninterpretation: lens\n---\n**Mandate:** Verify the intent's artifacts are internally consistent across stages. You are the only reviewer that sees the whole intent at once — your job is to catch seams that per-stage reviewers miss.\n\n**Check:**\n- The agent **MUST** verify that each stage's outputs align with what upstream stages specified — no dropped requirements, no silent scope expansion\n- The agent **MUST** verify that naming is consistent across stages — a concept named one thing upstream should carry the same name downstream\n- The agent **MUST** verify that stages' declared outputs exist at the paths their unit frontmatter promised\n- The agent **MUST** verify that the stages collectively deliver the intent's stated goal (read `intent.md`) — partial delivery is a finding\n- The agent **MUST** verify that concerns raised by any stage's review were actually addressed (not silently ignored)\n\n**Anti-patterns (RFC 2119):**\n- The agent **MUST NOT** re-litigate decisions already approved at each stage's gate\n- The agent **MUST NOT** propose new features or scope additions\n- The agent **MUST NOT** flag stylistic preferences — concrete divergence only\n",
+          "frontmatter": {
+            "model": "opus",
+            "scope": "intent",
+            "interpretation": "lens"
+          },
+          "body": "**Mandate:** Verify the intent's artifacts are internally consistent across stages. You are the only reviewer that sees the whole intent at once — your job is to catch seams that per-stage reviewers miss.\n\n**Check:**\n- The agent **MUST** verify that each stage's outputs align with what upstream stages specified — no dropped requirements, no silent scope expansion\n- The agent **MUST** verify that naming is consistent across stages — a concept named one thing upstream should carry the same name downstream\n- The agent **MUST** verify that stages' declared outputs exist at the paths their unit frontmatter promised\n- The agent **MUST** verify that the stages collectively deliver the intent's stated goal (read `intent.md`) — partial delivery is a finding\n- The agent **MUST** verify that concerns raised by any stage's review were actually addressed (not silently ignored)\n\n**Anti-patterns (RFC 2119):**\n- The agent **MUST NOT** re-litigate decisions already approved at each stage's gate\n- The agent **MUST NOT** propose new features or scope additions\n- The agent **MUST NOT** flag stylistic preferences — concrete divergence only\n",
+          "path": "plugin/studios/quality-assurance/intent-review-agents/cross-stage-consistency.md"
+        }
+      },
       "templates": {},
       "examples": {},
       "preIntents": {
@@ -10117,6 +10398,7 @@
           "frontmatter": {
             "name": "certify",
             "description": "Quality sign-off and release readiness assessment",
+            "optional": true,
             "hats": [
               "certifier",
               "reviewer",
@@ -10144,7 +10426,7 @@
               }
             ]
           },
-          "stageMd": "---\nname: certify\ndescription: Quality sign-off and release readiness assessment\nhats: [certifier, reviewer, verifier]\nfix_hats: [classifier, certifier, feedback-assessor]\nreview: external\nelaboration: autonomous\ninputs:\n  - stage: analyze\n    discovery: quality-report\n  - stage: execute-tests\n    output: test-results\n  - stage: plan\n    discovery: test-strategy\n---\n\n# Certify\n\nThe closing stage of the QA lifecycle: sign off on quality and release readiness against the strategy's exit criteria. This produces the certification record — every exit criterion evaluated with evidence, every unresolved defect listed with its risk-acceptance status, and the release / defer / block determination with audit-clean rationale.\n\n## Scope\n\nRelease-readiness sign-off: evaluating each exit criterion against the evidence, accounting for known issues, and recording a determination an authority can stand behind. Certify decides *whether to ship*, not what the data means (analyze) or what happened in the run (execute-tests).\n\n## What to do\n\n- Evaluate every exit criterion the strategy set, each backed by cited evidence rather than assertion.\n- List every unresolved defect with an explicit risk-acceptance status — nothing shipped on silence.\n- State the release / defer / block determination with rationale that would survive an audit.\n- Pull the supporting evidence from the analyze and execute-tests records rather than re-deriving it.\n\n## What NOT to do\n\n- Don't re-run the analysis or re-interpret results — consume what analyze produced; dispute it as feedback if it's wrong.\n- Don't waive an exit criterion without recording the risk acceptance.\n- Don't ship a determination whose rationale a reviewer couldn't trace to evidence.\n- Don't leave an unresolved defect off the record.\n",
+          "stageMd": "---\nname: certify\ndescription: Quality sign-off and release readiness assessment\noptional: true\nhats: [certifier, reviewer, verifier]\nfix_hats: [classifier, certifier, feedback-assessor]\nreview: external\nelaboration: autonomous\ninputs:\n  - stage: analyze\n    discovery: quality-report\n  - stage: execute-tests\n    output: test-results\n  - stage: plan\n    discovery: test-strategy\n---\n\n# Certify\n\nThe closing stage of the QA lifecycle: sign off on quality and release readiness against the strategy's exit criteria. This produces the certification record — every exit criterion evaluated with evidence, every unresolved defect listed with its risk-acceptance status, and the release / defer / block determination with audit-clean rationale.\n\n## Scope\n\nRelease-readiness sign-off: evaluating each exit criterion against the evidence, accounting for known issues, and recording a determination an authority can stand behind. Certify decides *whether to ship*, not what the data means (analyze) or what happened in the run (execute-tests).\n\n## What to do\n\n- Evaluate every exit criterion the strategy set, each backed by cited evidence rather than assertion.\n- List every unresolved defect with an explicit risk-acceptance status — nothing shipped on silence.\n- State the release / defer / block determination with rationale that would survive an audit.\n- Pull the supporting evidence from the analyze and execute-tests records rather than re-deriving it.\n\n## What NOT to do\n\n- Don't re-run the analysis or re-interpret results — consume what analyze produced; dispute it as feedback if it's wrong.\n- Don't waive an exit criterion without recording the risk acceptance.\n- Don't ship a determination whose rationale a reviewer couldn't trace to evidence.\n- Don't leave an unresolved defect off the record.\n",
           "stagePath": "plugin/studios/quality-assurance/stages/certify/STAGE.md",
           "hats": {
             "certifier": {
@@ -10254,6 +10536,18 @@
         }
       },
       "operations": {},
+      "intentReviewAgents": {
+        "cross-stage-consistency": {
+          "content": "---\nmodel: opus\nscope: intent\ninterpretation: lens\n---\n**Mandate:** Verify the intent's artifacts are internally consistent across stages. You are the only reviewer that sees the whole intent at once — your job is to catch seams that per-stage reviewers miss.\n\n**Check:**\n- The agent **MUST** verify that each stage's outputs align with what upstream stages specified — no dropped requirements, no silent scope expansion\n- The agent **MUST** verify that naming is consistent across stages — a concept named one thing upstream should carry the same name downstream\n- The agent **MUST** verify that stages' declared outputs exist at the paths their unit frontmatter promised\n- The agent **MUST** verify that the stages collectively deliver the intent's stated goal (read `intent.md`) — partial delivery is a finding\n- The agent **MUST** verify that concerns raised by any stage's review were actually addressed (not silently ignored)\n\n**Anti-patterns (RFC 2119):**\n- The agent **MUST NOT** re-litigate decisions already approved at each stage's gate\n- The agent **MUST NOT** propose new features or scope additions\n- The agent **MUST NOT** flag stylistic preferences — concrete divergence only\n",
+          "frontmatter": {
+            "model": "opus",
+            "scope": "intent",
+            "interpretation": "lens"
+          },
+          "body": "**Mandate:** Verify the intent's artifacts are internally consistent across stages. You are the only reviewer that sees the whole intent at once — your job is to catch seams that per-stage reviewers miss.\n\n**Check:**\n- The agent **MUST** verify that each stage's outputs align with what upstream stages specified — no dropped requirements, no silent scope expansion\n- The agent **MUST** verify that naming is consistent across stages — a concept named one thing upstream should carry the same name downstream\n- The agent **MUST** verify that stages' declared outputs exist at the paths their unit frontmatter promised\n- The agent **MUST** verify that the stages collectively deliver the intent's stated goal (read `intent.md`) — partial delivery is a finding\n- The agent **MUST** verify that concerns raised by any stage's review were actually addressed (not silently ignored)\n\n**Anti-patterns (RFC 2119):**\n- The agent **MUST NOT** re-litigate decisions already approved at each stage's gate\n- The agent **MUST NOT** propose new features or scope additions\n- The agent **MUST NOT** flag stylistic preferences — concrete divergence only\n",
+          "path": "plugin/studios/sales/intent-review-agents/cross-stage-consistency.md"
+        }
+      },
       "templates": {
         "new-prospect": {
           "content": "---\nname: new-prospect\nstudio: sales\ndescription: Work a new prospect from research through close\nparameters:\n  - name: company\n    description: Prospect company name\n    required: true\n  - name: contact\n    description: Primary contact name and title\n    required: false\n  - name: source\n    description: Lead source (inbound, referral, outbound, event)\n    required: false\nunits:\n  - name: \"prospect-research\"\n    stage: research\n    criteria:\n      - \"{{ company }} business model and pain points documented\"\n      - \"Decision makers and buying process mapped\"\n      - \"Competitive landscape for this deal identified\"\n  - name: \"qualify\"\n    stage: qualification\n    criteria:\n      - \"ICP fit scored against standard criteria\"\n      - \"Budget, authority, need, and timeline assessed\"\n      - \"Go/no-go decision documented with rationale\"\n  - name: \"proposal\"\n    stage: proposal\n    criteria:\n      - \"Proposal tailored to {{ company }} pain points\"\n      - \"Pricing within approved discount structure\"\n      - \"Demo or proof of concept prepared if applicable\"\n  - name: \"negotiate\"\n    stage: negotiation\n    criteria:\n      - \"Terms reviewed by legal\"\n      - \"Objections documented with responses\"\n      - \"Final terms agreed by both parties\"\n  - name: \"close-deal\"\n    stage: close\n    criteria:\n      - \"Contract signed\"\n      - \"CS handoff context prepared (goals, timeline, contacts)\"\n      - \"Win/loss context documented\"\n---\n\nFull sales cycle for a new prospect. CRM provider syncs deal state automatically.\n",
@@ -10540,6 +10834,7 @@
           "frontmatter": {
             "name": "proposal",
             "description": "Create tailored proposals, demos, and business cases",
+            "optional": true,
             "hats": [
               "proposal-writer",
               "solution-architect",
@@ -10567,7 +10862,7 @@
               "escalation": "comms"
             }
           },
-          "stageMd": "---\nname: proposal\ndescription: Create tailored proposals, demos, and business cases\nhats: [proposal-writer, solution-architect, verifier]\nfix_hats: [classifier, proposal-writer, feedback-assessor]\nreview: [ask, await]\nelaboration: collaborative\ninputs:\n  - stage: qualification\n    discovery: deal-brief\ngate-protocol:\n  timeout: 7d\n  timeout-action: escalate\n  escalation: comms\n---\n\n# Proposal\n\nTurn a qualified opportunity into the artifacts the prospect actually evaluates: a tailored business case, the technical solution architecture, and the demo or proof-of-value script. This is where the deal stops being an internal assessment and becomes something the buyer can say yes to.\n\n## Scope\n\nThe buyer-facing offer: outcomes tied to the prospect's named pains, quantified ROI with stated assumptions, competitive differentiation, and a solution shape that fits their actual environment. Proposal decides *what we're putting in front of the prospect* — not whether they qualify (qualification) or what terms get signed (negotiation).\n\n## What to do\n\n- Anchor every claim in the prospect's named pain points and the seller's real references for their industry and scale.\n- Quantify ROI with assumptions stated openly, so the business case survives the buyer's own scrutiny.\n- Ground the solution architecture in the prospect's actual infrastructure, and surface implementation risks or prerequisites that affect scope or timeline.\n- Keep the business narrative and the technical shape consistent — the offer is unsellable if either side overpromises what the other can't deliver.\n\n## What NOT to do\n\n- Don't re-litigate qualification — if the deal no longer qualifies, that's a revisit upstream, not a softer proposal.\n- Don't negotiate terms or concede pricing here; that's negotiation.\n- Don't promise a solution shape the architecture can't actually deliver.\n- Don't ship ROI numbers whose assumptions you can't state.\n",
+          "stageMd": "---\nname: proposal\ndescription: Create tailored proposals, demos, and business cases\noptional: true\nhats: [proposal-writer, solution-architect, verifier]\nfix_hats: [classifier, proposal-writer, feedback-assessor]\nreview: [ask, await]\nelaboration: collaborative\ninputs:\n  - stage: qualification\n    discovery: deal-brief\ngate-protocol:\n  timeout: 7d\n  timeout-action: escalate\n  escalation: comms\n---\n\n# Proposal\n\nTurn a qualified opportunity into the artifacts the prospect actually evaluates: a tailored business case, the technical solution architecture, and the demo or proof-of-value script. This is where the deal stops being an internal assessment and becomes something the buyer can say yes to.\n\n## Scope\n\nThe buyer-facing offer: outcomes tied to the prospect's named pains, quantified ROI with stated assumptions, competitive differentiation, and a solution shape that fits their actual environment. Proposal decides *what we're putting in front of the prospect* — not whether they qualify (qualification) or what terms get signed (negotiation).\n\n## What to do\n\n- Anchor every claim in the prospect's named pain points and the seller's real references for their industry and scale.\n- Quantify ROI with assumptions stated openly, so the business case survives the buyer's own scrutiny.\n- Ground the solution architecture in the prospect's actual infrastructure, and surface implementation risks or prerequisites that affect scope or timeline.\n- Keep the business narrative and the technical shape consistent — the offer is unsellable if either side overpromises what the other can't deliver.\n\n## What NOT to do\n\n- Don't re-litigate qualification — if the deal no longer qualifies, that's a revisit upstream, not a softer proposal.\n- Don't negotiate terms or concede pricing here; that's negotiation.\n- Don't promise a solution shape the architecture can't actually deliver.\n- Don't ship ROI numbers whose assumptions you can't state.\n",
           "stagePath": "plugin/studios/sales/stages/proposal/STAGE.md",
           "hats": {
             "proposal-writer": {
@@ -10632,6 +10927,7 @@
           "frontmatter": {
             "name": "negotiation",
             "description": "Handle objections, negotiate terms, and align stakeholders",
+            "optional": true,
             "hats": [
               "negotiator",
               "legal-reviewer",
@@ -10654,7 +10950,7 @@
               }
             ]
           },
-          "stageMd": "---\nname: negotiation\ndescription: Handle objections, negotiate terms, and align stakeholders\nhats: [negotiator, legal-reviewer, verifier]\nfix_hats: [classifier, negotiator, feedback-assessor]\nreview: [ask, await]\nelaboration: collaborative\ninputs:\n  - stage: proposal\n    discovery: proposal-doc\n---\n\n# Negotiation\n\nWhere a proposal becomes a signable agreement. Negotiation takes the proposal and produces the negotiated-terms record: the objection log with evidence-based responses, the redline analysis categorized by risk, the mutual close plan, and a documented walk-away position.\n\n## Scope\n\nReconciling the offer into agreed terms: handling objections, working redlines, aligning stakeholders, and setting concession and walk-away thresholds. Negotiation decides *what terms both sides can sign* — not what the offer was (proposal) or executing the signed contract (close).\n\n## What to do\n\n- Meet each objection with an evidence-based reframe and a fallback position, logged so nothing gets re-argued from scratch.\n- Categorize redlines by legal vs commercial risk and recommend accept / counter / reject per clause.\n- Know the concession strategy and the walk-away threshold before the conversation, not during it.\n- Keep the terms record authoritative — close executes against exactly what's documented here.\n\n## What NOT to do\n\n- Don't reopen the solution or the business case — a broken proposal is a revisit upstream, not a negotiation lever.\n- Don't execute signatures or package the handoff; that's close.\n- Don't concede past the documented walk-away or the team's approval authority.\n- Don't leave a conceded term undocumented before it carries into close.\n",
+          "stageMd": "---\nname: negotiation\ndescription: Handle objections, negotiate terms, and align stakeholders\noptional: true\nhats: [negotiator, legal-reviewer, verifier]\nfix_hats: [classifier, negotiator, feedback-assessor]\nreview: [ask, await]\nelaboration: collaborative\ninputs:\n  - stage: proposal\n    discovery: proposal-doc\n---\n\n# Negotiation\n\nWhere a proposal becomes a signable agreement. Negotiation takes the proposal and produces the negotiated-terms record: the objection log with evidence-based responses, the redline analysis categorized by risk, the mutual close plan, and a documented walk-away position.\n\n## Scope\n\nReconciling the offer into agreed terms: handling objections, working redlines, aligning stakeholders, and setting concession and walk-away thresholds. Negotiation decides *what terms both sides can sign* — not what the offer was (proposal) or executing the signed contract (close).\n\n## What to do\n\n- Meet each objection with an evidence-based reframe and a fallback position, logged so nothing gets re-argued from scratch.\n- Categorize redlines by legal vs commercial risk and recommend accept / counter / reject per clause.\n- Know the concession strategy and the walk-away threshold before the conversation, not during it.\n- Keep the terms record authoritative — close executes against exactly what's documented here.\n\n## What NOT to do\n\n- Don't reopen the solution or the business case — a broken proposal is a revisit upstream, not a negotiation lever.\n- Don't execute signatures or package the handoff; that's close.\n- Don't concede past the documented walk-away or the team's approval authority.\n- Don't leave a conceded term undocumented before it carries into close.\n",
           "stagePath": "plugin/studios/sales/stages/negotiation/STAGE.md",
           "hats": {
             "legal-reviewer": {
@@ -10721,6 +11017,7 @@
           "frontmatter": {
             "name": "close",
             "description": "Execute the deal, handoff to customer success, and document learnings",
+            "optional": true,
             "hats": [
               "closer",
               "handoff-coordinator",
@@ -10743,7 +11040,7 @@
               }
             ]
           },
-          "stageMd": "---\nname: close\ndescription: Execute the deal, handoff to customer success, and document learnings\nhats: [closer, handoff-coordinator, verifier]\nfix_hats: [classifier, closer, feedback-assessor]\nreview: [external, await]\nelaboration: collaborative\ninputs:\n  - stage: negotiation\n    discovery: terms\n---\n\n# Close\n\nThe operational stage of the sales lifecycle: a verbal agreement becomes a fully executed contract, the prospect becomes a customer, and the relationship hands to the team that will deliver the work. The artifact is a handoff package complete enough that the receiving team starts from the full picture, not just the contract.\n\n## Scope\n\nDeal execution and handoff: securing signature through the buyer's procurement process, verifying purchase order and payment terms, packaging deal context for the post-sale team, and capturing the win/loss record. Close decides *that the deal is done and cleanly handed off* — not what terms were agreed (negotiation).\n\n## What to do\n\n- Drive signature collection through the buyer's actual procurement and contracting process, confirming final terms before execution.\n- Verify the purchase order and payment terms rather than assuming they match what was negotiated.\n- Package the full relationship context — history, named contacts, commitments made during the sale, known risks — so the receiving team isn't starting from the contract alone.\n- Document every verbal commitment before contract execution; nothing live to the prospect should be missing from the closed record.\n\n## What NOT to do\n\n- Don't reopen or renegotiate terms — that's a revisit to negotiation, not a close-stage move.\n- Don't hand off a deal with undocumented commitments or an unverified PO.\n- Don't skip the win/loss capture; the next deal learns from this one.\n- Don't treat handoff as throwing the contract over the wall — an incomplete package is an unfinished close.\n",
+          "stageMd": "---\nname: close\ndescription: Execute the deal, handoff to customer success, and document learnings\noptional: true\nhats: [closer, handoff-coordinator, verifier]\nfix_hats: [classifier, closer, feedback-assessor]\nreview: [external, await]\nelaboration: collaborative\ninputs:\n  - stage: negotiation\n    discovery: terms\n---\n\n# Close\n\nThe operational stage of the sales lifecycle: a verbal agreement becomes a fully executed contract, the prospect becomes a customer, and the relationship hands to the team that will deliver the work. The artifact is a handoff package complete enough that the receiving team starts from the full picture, not just the contract.\n\n## Scope\n\nDeal execution and handoff: securing signature through the buyer's procurement process, verifying purchase order and payment terms, packaging deal context for the post-sale team, and capturing the win/loss record. Close decides *that the deal is done and cleanly handed off* — not what terms were agreed (negotiation).\n\n## What to do\n\n- Drive signature collection through the buyer's actual procurement and contracting process, confirming final terms before execution.\n- Verify the purchase order and payment terms rather than assuming they match what was negotiated.\n- Package the full relationship context — history, named contacts, commitments made during the sale, known risks — so the receiving team isn't starting from the contract alone.\n- Document every verbal commitment before contract execution; nothing live to the prospect should be missing from the closed record.\n\n## What NOT to do\n\n- Don't reopen or renegotiate terms — that's a revisit to negotiation, not a close-stage move.\n- Don't hand off a deal with undocumented commitments or an unverified PO.\n- Don't skip the win/loss capture; the next deal learns from this one.\n- Don't treat handoff as throwing the contract over the wall — an incomplete package is an unfinished close.\n",
           "stagePath": "plugin/studios/sales/stages/close/STAGE.md",
           "hats": {
             "closer": {
@@ -10851,6 +11148,18 @@
         }
       },
       "operations": {},
+      "intentReviewAgents": {
+        "cross-stage-consistency": {
+          "content": "---\nmodel: opus\nscope: intent\ninterpretation: lens\n---\n**Mandate:** Verify the intent's artifacts are internally consistent across stages. You are the only reviewer that sees the whole intent at once — your job is to catch seams that per-stage reviewers miss.\n\n**Check:**\n- The agent **MUST** verify that each stage's outputs align with what upstream stages specified — no dropped requirements, no silent scope expansion\n- The agent **MUST** verify that naming is consistent across stages — a concept named one thing upstream should carry the same name downstream\n- The agent **MUST** verify that stages' declared outputs exist at the paths their unit frontmatter promised\n- The agent **MUST** verify that the stages collectively deliver the intent's stated goal (read `intent.md`) — partial delivery is a finding\n- The agent **MUST** verify that concerns raised by any stage's review were actually addressed (not silently ignored)\n\n**Anti-patterns (RFC 2119):**\n- The agent **MUST NOT** re-litigate decisions already approved at each stage's gate\n- The agent **MUST NOT** propose new features or scope additions\n- The agent **MUST NOT** flag stylistic preferences — concrete divergence only\n",
+          "frontmatter": {
+            "model": "opus",
+            "scope": "intent",
+            "interpretation": "lens"
+          },
+          "body": "**Mandate:** Verify the intent's artifacts are internally consistent across stages. You are the only reviewer that sees the whole intent at once — your job is to catch seams that per-stage reviewers miss.\n\n**Check:**\n- The agent **MUST** verify that each stage's outputs align with what upstream stages specified — no dropped requirements, no silent scope expansion\n- The agent **MUST** verify that naming is consistent across stages — a concept named one thing upstream should carry the same name downstream\n- The agent **MUST** verify that stages' declared outputs exist at the paths their unit frontmatter promised\n- The agent **MUST** verify that the stages collectively deliver the intent's stated goal (read `intent.md`) — partial delivery is a finding\n- The agent **MUST** verify that concerns raised by any stage's review were actually addressed (not silently ignored)\n\n**Anti-patterns (RFC 2119):**\n- The agent **MUST NOT** re-litigate decisions already approved at each stage's gate\n- The agent **MUST NOT** propose new features or scope additions\n- The agent **MUST NOT** flag stylistic preferences — concrete divergence only\n",
+          "path": "plugin/studios/security-assessment/intent-review-agents/cross-stage-consistency.md"
+        }
+      },
       "templates": {},
       "examples": {},
       "preIntents": {
@@ -11051,6 +11360,7 @@
           "frontmatter": {
             "name": "exploitation",
             "description": "Controlled exploitation of discovered vulnerabilities with proper scoping and authorization",
+            "optional": true,
             "hats": [
               "attack-strategist",
               "exploit-developer",
@@ -11079,7 +11389,7 @@
               }
             ]
           },
-          "stageMd": "---\nname: exploitation\ndescription: Controlled exploitation of discovered vulnerabilities with proper scoping and authorization\nhats: [attack-strategist, exploit-developer, exploit-reviewer, attack-operator, verifier]\nfix_hats: [classifier, exploit-developer, attack-operator, feedback-assessor]\nreview: ask\nelaboration: collaborative\ninputs:\n  - stage: enumeration\n    discovery: vulnerability-catalog\noutputs:\n  - discovery: access-log\n    hat: attack-operator\n---\n\n# Exploitation\n\nThe adversarial core of the assessment: controlled, authorized exploitation of catalogued vulnerabilities to prove what's actually reachable. This stage red-teams the target — but every attempt is scoped, safety-constrained, and signed off before it touches a real system.\n\n## Scope\n\nProof-of-concept development and controlled execution against authorized surfaces: choosing what to attempt, building safe PoCs (rate limits, kill switches, rollback, pre-flight checks), and executing inside the agreed window with full logging. Exploitation decides *what's genuinely exploitable* — not what's catalogued as a candidate (enumeration) or what an attacker could then do (post-exploitation).\n\n## What to do\n\n- Confirm every step is in scope and authorized before any code is written or run.\n- Build PoCs with safe defaults — rate limits, kill switches, rollback steps — and prove them against a local or staging surrogate first.\n- Execute only inside the agreed time window, logging every action with timestamps, and abort on any unintended effect.\n- Capture evidence that an attempt succeeded or failed without causing destruction.\n\n## What NOT to do\n\n- Don't run anything against a real target without explicit human sign-off — this is the hard line of the stage.\n- Don't assess business impact or chase lateral movement; that's post-exploitation.\n- Don't exceed the authorized scope or the agreed window, even when a promising path opens.\n- Don't ship a PoC without concrete safety constraints and a surrogate test behind it.\n",
+          "stageMd": "---\nname: exploitation\ndescription: Controlled exploitation of discovered vulnerabilities with proper scoping and authorization\noptional: true\nhats: [attack-strategist, exploit-developer, exploit-reviewer, attack-operator, verifier]\nfix_hats: [classifier, exploit-developer, attack-operator, feedback-assessor]\nreview: ask\nelaboration: collaborative\ninputs:\n  - stage: enumeration\n    discovery: vulnerability-catalog\noutputs:\n  - discovery: access-log\n    hat: attack-operator\n---\n\n# Exploitation\n\nThe adversarial core of the assessment: controlled, authorized exploitation of catalogued vulnerabilities to prove what's actually reachable. This stage red-teams the target — but every attempt is scoped, safety-constrained, and signed off before it touches a real system.\n\n## Scope\n\nProof-of-concept development and controlled execution against authorized surfaces: choosing what to attempt, building safe PoCs (rate limits, kill switches, rollback, pre-flight checks), and executing inside the agreed window with full logging. Exploitation decides *what's genuinely exploitable* — not what's catalogued as a candidate (enumeration) or what an attacker could then do (post-exploitation).\n\n## What to do\n\n- Confirm every step is in scope and authorized before any code is written or run.\n- Build PoCs with safe defaults — rate limits, kill switches, rollback steps — and prove them against a local or staging surrogate first.\n- Execute only inside the agreed time window, logging every action with timestamps, and abort on any unintended effect.\n- Capture evidence that an attempt succeeded or failed without causing destruction.\n\n## What NOT to do\n\n- Don't run anything against a real target without explicit human sign-off — this is the hard line of the stage.\n- Don't assess business impact or chase lateral movement; that's post-exploitation.\n- Don't exceed the authorized scope or the agreed window, even when a promising path opens.\n- Don't ship a PoC without concrete safety constraints and a surrogate test behind it.\n",
           "stagePath": "plugin/studios/security-assessment/stages/exploitation/STAGE.md",
           "hats": {
             "attack-operator": {
@@ -11153,6 +11463,7 @@
           "frontmatter": {
             "name": "post-exploitation",
             "description": "Assess impact, test lateral movement, evaluate data exposure, and document access chains",
+            "optional": true,
             "hats": [
               "post-exploit-analyst",
               "impact-assessor",
@@ -11178,7 +11489,7 @@
               }
             ]
           },
-          "stageMd": "---\nname: post-exploitation\ndescription: Assess impact, test lateral movement, evaluate data exposure, and document access chains\nhats: [post-exploit-analyst, impact-assessor, verifier]\nfix_hats: [classifier, impact-assessor, feedback-assessor]\nreview: ask\nelaboration: autonomous\ninputs:\n  - stage: exploitation\n    discovery: access-log\noutputs:\n  - discovery: impact-assessment\n    hat: impact-assessor\n---\n\n# Post-Exploitation\n\nExploitation proved a vulnerability is reachable; post-exploitation answers \"so what?\" — what a real attacker would do with the foothold and how bad it would be in business terms. This stage maps the reachable surface from each established access point and translates it into business impact.\n\n## Scope\n\nImpact and access-chain analysis from a proven foothold: reachable lateral targets, privilege-escalation paths, accessible data, and the business consequence (data sensitivity, regulatory exposure, blast radius) rated against the engagement's rubric. Post-exploitation decides *what the foothold is worth* — not whether it was reachable (exploitation) or how to present it (reporting).\n\n## What to do\n\n- Map the reachable surface and access chains by observation, without exfiltrating or modifying data.\n- Translate the technical access-graph into business impact terms a stakeholder can act on.\n- Rate severity with the engagement's chosen rubric and tie each rating to the evidence at every step of the chain.\n- Keep the assessment consistent with the access log it builds on — the chain has to hold end to end.\n\n## What NOT to do\n\n- Don't develop new exploits or breach surfaces exploitation didn't already prove — that's a revisit upstream.\n- Don't exfiltrate, alter, or destroy data while mapping access.\n- Don't write the customer-facing report; that's reporting.\n- Don't assert an impact rating the access-chain evidence doesn't support.\n",
+          "stageMd": "---\nname: post-exploitation\ndescription: Assess impact, test lateral movement, evaluate data exposure, and document access chains\noptional: true\nhats: [post-exploit-analyst, impact-assessor, verifier]\nfix_hats: [classifier, impact-assessor, feedback-assessor]\nreview: ask\nelaboration: autonomous\ninputs:\n  - stage: exploitation\n    discovery: access-log\noutputs:\n  - discovery: impact-assessment\n    hat: impact-assessor\n---\n\n# Post-Exploitation\n\nExploitation proved a vulnerability is reachable; post-exploitation answers \"so what?\" — what a real attacker would do with the foothold and how bad it would be in business terms. This stage maps the reachable surface from each established access point and translates it into business impact.\n\n## Scope\n\nImpact and access-chain analysis from a proven foothold: reachable lateral targets, privilege-escalation paths, accessible data, and the business consequence (data sensitivity, regulatory exposure, blast radius) rated against the engagement's rubric. Post-exploitation decides *what the foothold is worth* — not whether it was reachable (exploitation) or how to present it (reporting).\n\n## What to do\n\n- Map the reachable surface and access chains by observation, without exfiltrating or modifying data.\n- Translate the technical access-graph into business impact terms a stakeholder can act on.\n- Rate severity with the engagement's chosen rubric and tie each rating to the evidence at every step of the chain.\n- Keep the assessment consistent with the access log it builds on — the chain has to hold end to end.\n\n## What NOT to do\n\n- Don't develop new exploits or breach surfaces exploitation didn't already prove — that's a revisit upstream.\n- Don't exfiltrate, alter, or destroy data while mapping access.\n- Don't write the customer-facing report; that's reporting.\n- Don't assert an impact rating the access-chain evidence doesn't support.\n",
           "stagePath": "plugin/studios/security-assessment/stages/post-exploitation/STAGE.md",
           "hats": {
             "impact-assessor": {
@@ -11332,7 +11643,7 @@
         "category": "engineering",
         "default_model": "sonnet"
       },
-      "studioMd": "---\nname: application-development\nslug: appdev\naliases: [software]\ndescription: Lifecycle for web, mobile, and desktop applications\nstages: [inception, design, product, development, operations, security]\nfix_hats: [builder, reconciler, validator]\ncategory: engineering\ndefault_model: sonnet\n---\n\n# Application Development\n\nLifecycle for user-facing applications — web, mobile, desktop, and services.\nCovers product discovery, UX design, implementation, operations, and security\nreview. For libraries, SDKs, and CLI tools, use `libdev`. For games, use\n`gamedev`. For hardware products, use `hwdev`.\n\nSupports both single-stage (all disciplines merged) and multi-stage\n(sequential discipline progression) execution modes.\n",
+      "studioMd": "---\nname: application-development\nslug: appdev\naliases: [software]\ndescription: Lifecycle for web, mobile, and desktop applications\nstages: [inception, design, product, development, operations, security]\nfix_hats: [builder, reconciler, validator]\ncategory: engineering\ndefault_model: sonnet\n---\n\n# Application Development\n\nLifecycle for user-facing applications and services — web, mobile, desktop.\n\nThe mandatory core is the minimum a full feature needs: `inception` (research\nand problem framing), `product` (behavioral spec + acceptance criteria), and\n`development` (the code and tests that satisfy it). The remaining stages are\noptional and dropped per intent when they don't apply — `design` for non-visual\nwork, `operations` when there's nothing to deploy or run, `security` for a\nlow-risk surface. The cursor offers a keep-or-drop decision the first time it\nreaches each optional stage.\n\nFor games, use `gamedev`; for hardware, use `hwdev`.\n\nSupports both single-stage (all disciplines merged) and multi-stage\n(sequential discipline progression) execution modes.\n",
       "studioPath": "plugin/studios/software/STUDIO.md",
       "stagesOrder": [
         "inception",
@@ -11381,6 +11692,26 @@
         }
       },
       "operations": {},
+      "intentReviewAgents": {
+        "cross-stage-consistency": {
+          "content": "---\nmodel: opus\nscope: intent\ninterpretation: lens\n---\n**Mandate:** Verify the intent's artifacts are internally consistent across stages. You are the ONLY reviewer that sees the whole intent at once — inception, product, design, development, security, operations. Your job is to catch the seams.\n\n**Check:**\n- The agent **MUST** verify that the design artifacts match what product specified — no invented requirements, no dropped ones\n- The agent **MUST** verify that development implements what design specified — component names, interaction contracts, responsive behavior, accessibility requirements\n- The agent **MUST** verify that security and operations concerns raised in inception/product were actually addressed in the implementation (not silently ignored)\n- The agent **MUST** verify that naming is consistent across stages — a feature called `checkout-v2` in product should not be `new-cart-flow` in design and `v2Checkout` in code\n- The agent **MUST** verify that stages' declared outputs exist at the paths their unit frontmatter promised — broken cross-stage references are findings\n- The agent **MUST** verify that the stages collectively deliver the intent's stated goal (read `intent.md`) — partial delivery is a finding\n\n**Anti-patterns (RFC 2119):**\n- The agent **MUST NOT** re-litigate decisions made at each stage's gate — this is a consistency check, not a redesign\n- The agent **MUST NOT** propose new features or scope additions\n- The agent **MUST NOT** flag stylistic preferences — concrete divergence only\n",
+          "frontmatter": {
+            "model": "opus",
+            "scope": "intent",
+            "interpretation": "lens"
+          },
+          "body": "**Mandate:** Verify the intent's artifacts are internally consistent across stages. You are the ONLY reviewer that sees the whole intent at once — inception, product, design, development, security, operations. Your job is to catch the seams.\n\n**Check:**\n- The agent **MUST** verify that the design artifacts match what product specified — no invented requirements, no dropped ones\n- The agent **MUST** verify that development implements what design specified — component names, interaction contracts, responsive behavior, accessibility requirements\n- The agent **MUST** verify that security and operations concerns raised in inception/product were actually addressed in the implementation (not silently ignored)\n- The agent **MUST** verify that naming is consistent across stages — a feature called `checkout-v2` in product should not be `new-cart-flow` in design and `v2Checkout` in code\n- The agent **MUST** verify that stages' declared outputs exist at the paths their unit frontmatter promised — broken cross-stage references are findings\n- The agent **MUST** verify that the stages collectively deliver the intent's stated goal (read `intent.md`) — partial delivery is a finding\n\n**Anti-patterns (RFC 2119):**\n- The agent **MUST NOT** re-litigate decisions made at each stage's gate — this is a consistency check, not a redesign\n- The agent **MUST NOT** propose new features or scope additions\n- The agent **MUST NOT** flag stylistic preferences — concrete divergence only\n",
+          "path": "plugin/studios/software/intent-review-agents/cross-stage-consistency.md"
+        },
+        "runtime-verifier": {
+          "content": "---\ninterpretation: lens\n---\n**Surface first.** The runtime-verification doctrine referenced in your dispatch governs which surface the delivered intent actually has. The steps below are the **web/GUI path** — the common case for this studio. If the intent delivered a CLI, a headless service, or a library, follow the doctrine's handle for that surface and apply this mandate's *intent* — drive the real deliverable end-to-end, capture proof, assert the promised journey holds — rather than booting a browser with nothing to render.\n\n**Mandate:** The agent **MUST** be the user's eyes and hands at intent close — drive the deliverable through the browser the way a real user would, see what the user would see, assert that what was promised actually got built. Per-stage runtime checks catch broken artifacts within a single phase, but they cannot verify the user journey the intent set out to deliver. The product stage's `.feature` files at the intent level (`stages/product/artifacts/*.feature`, or wherever the studio's product-stage configured them) are the executable test contract for that journey — they exist precisely so this lens has a concrete, version-controlled definition of \"done.\" Consume them, assert against them, screenshot along the way.\n\n**You pass ONLY if you actually ran it — `haiku_view` boot is the verification, not optional scaffolding.** This role's sign-off means one thing: \"I booted the live integrated app and watched the promised journey work.\" If `haiku_view` will not boot the app — the tool errors, no boot target is found, a dependency is down — then you have verified **nothing**, and per the doctrine's verdict rules you **MUST** file a `BLOCKED` finding and **HOLD**. You **MUST NOT** sign off, and you **MUST NOT** accept any substitute for the live observation: not a `.haiku/boot.md` recipe, not a diagnosis, not green CI, not a closed blocker, not \"it should boot now.\" The intent does **not** seal until this role has genuinely reached `PASS` against the running app. If you are re-dispatched because your earlier finding was \"fixed,\" boot and drive again from scratch — a fix that merely unblocked the boot is not the journey passing. If it still can't run after the fix loop has had its turn, escalate to the human and keep holding; never let a can't-verify decay into a pass.\n\n## Check\n\nThe agent **MUST** verify each of the following:\n\n- **A runnable thing exists.** Open a view session via `haiku_view({ intent: \"<this-intent>\", mode: \"boot\" })` — the tool spawns the project's `dev` / `start` script on an ephemeral port and returns a `http://127.0.0.1:<port>/` URL pointing at the live integrated app. Prefer `mode: \"boot\"` explicitly here (not `auto`): by intent close there SHOULD be a runnable thing, and \"no boot target detected\" is itself a headline finding — the intent did not ship a runnable deliverable. Use the bundled `haiku-playwright` MCP to `browser_navigate` to the returned URL.\n- **Every product-stage `.feature` scenario passes against the live app.** Read every `.feature` file the product stage produced at the intent level. For each `Scenario:` (and each `Scenario Outline:` example row), drive the Gherkin steps through `playwright` exactly as the user would — `Given` sets the precondition, `When` performs the action via `browser_click` / `browser_type` / `browser_select_option`, `Then` asserts the visible state via `browser_snapshot` or `browser_evaluate`. A `.feature` scenario that the spec says should succeed but the live app fails, redirects unexpectedly, or shows the wrong content is the headline finding — the intent did not deliver what the product stage promised.\n- **Per-unit claims across every stage hold in the live app.** Walk every unit body across every stage of the intent (`stages/*/units/*.md`). Each unit's acceptance-criterion lines, named selectors, and asserted behavior are part of the deliverable contract. Sample-verify against the live app — for each stage, pick at least every unit that touches the user-facing surface and confirm its claims actually hold in the integrated build. A unit that ticked its own boxes mid-build but whose claim is no longer true in the integrated final app is a finding the per-stage verifier could not have caught.\n- **Screenshot along the way + save proof to disk.** Call `browser_take_screenshot` at every meaningful step — at minimum: page-loaded, post-precondition setup, post-action, final-assertion state. **Save each screenshot** to disk under `.haiku/intents/<intent>/proof/<scenario-or-unit-slug>-<step>.png` using the `Write` tool (PNG is the format `playwright` produces; keep it). The intent-level `proof/` directory is the durable record of \"what the user would have seen at intent close\" — a human verifier reviewing the merged intent should be able to scroll the directory and walk the journey themselves without re-running anything. Attach the same screenshots to any feedback you file; a finding without one is unactionable.\n- **The integration between stages holds.** When the intent spans multiple stages that produce inputs to each other (design → product → development → operations), the running app MUST reflect the chain. The shipped UI uses the design tokens design declared, the API shapes match the data contracts product declared, the deployment exposes the routes development built, and the operations stage's monitoring is wired to the right endpoints. A finding here is \"stages each shipped clean but the seam between them is broken.\"\n- **Design parity at intent close — the shipped app matches the designs.** Walk every artifact in `stages/design/artifacts/` (mockups, screen specs, state-coverage sheets, design-system anchor). For each, locate the corresponding screen in the live integrated app, drive the browser there at each declared breakpoint, and screenshot both the design reference and the live build at the SAME viewport. Save them as an explicitly-named matched pair: `.haiku/intents/<intent>/proof/design-parity-<artifact>-<breakpoint>-design.png` and `…-build.png`. Then compare on BOTH passes — both must hold. **Visual pass (perceptual):** re-open both images with the `Read` tool and judge what the computed-token check can't — overall composition and visual hierarchy, imagery / iconography correctness, visual weight and balance, spacing rhythm, type rendering, and anything that simply \"looks off\" against the design even when the numbers match; then confirm the build image actually satisfies the corresponding `.feature` scenario's acceptance criteria on screen, not merely that the DOM holds the right nodes. **Token pass (exact):** every component the design called for is present in the build, the design tokens declared in `.haiku/knowledge/DESIGN-TOKENS.md` render exactly (read computed colors / spacing / font-sizes off the live DOM via `browser_evaluate` and compare hex/rem/px values directly — no near-misses), the layout hierarchy matches at each breakpoint, every state the design declared (hover / focus / active / disabled / error / loading / empty) is reachable and renders as designed. The matched pair lets a human auditor re-open and compare the chain end-to-end without re-running. The per-stage development verifier already checks this for its own units; this intent-level pass is the final gate that catches design drift introduced AFTER development signed off (operations CSS overrides, a feature flag that swaps in a different theme, an integration that strips an aria-attribute the design relied on).\n- **No regressions in adjacent flows.** Walk one or two flows the intent did NOT explicitly target. Catches the case where the intent's changes broke unrelated working behavior — a class of bug that per-stage checks cannot see because each stage only audits its own scope.\n- **Close the session.** Call `haiku_view_close({ session_id })` after all checks complete.\n\n## Common failure modes to look for\n\n- Every stage gate green, every per-stage runtime-verifier green, but the live app's user-facing flow doesn't actually do the thing the intent promised — typically because the slices each stage delivered work in isolation but no stage owned the integration\n- A component the design stage produced that the development stage never rendered into the page (this exact pattern surfaced 2026-05-15 in `out-of-band-human-file-modifications` — three SPA components shipped as `.tsx` files but no other file rendered them)\n- A new API endpoint development built that operations didn't include in the deployment manifest, so the live app hits 404 on the path\n- A feature flag the intent introduced that ships in the off state by default — the user-facing change is invisible in production even though every test passes\n- A regression in an adjacent flow that no stage's per-unit tests covered because the unit only asserted on its own scope — only the integration check sees the side effect\n- The app builds and serves but the primary navigation entry point to the new feature isn't wired (link not added to the menu, route not registered, button hidden behind a permission the test user doesn't have)\n",
+          "frontmatter": {
+            "interpretation": "lens"
+          },
+          "body": "**Surface first.** The runtime-verification doctrine referenced in your dispatch governs which surface the delivered intent actually has. The steps below are the **web/GUI path** — the common case for this studio. If the intent delivered a CLI, a headless service, or a library, follow the doctrine's handle for that surface and apply this mandate's *intent* — drive the real deliverable end-to-end, capture proof, assert the promised journey holds — rather than booting a browser with nothing to render.\n\n**Mandate:** The agent **MUST** be the user's eyes and hands at intent close — drive the deliverable through the browser the way a real user would, see what the user would see, assert that what was promised actually got built. Per-stage runtime checks catch broken artifacts within a single phase, but they cannot verify the user journey the intent set out to deliver. The product stage's `.feature` files at the intent level (`stages/product/artifacts/*.feature`, or wherever the studio's product-stage configured them) are the executable test contract for that journey — they exist precisely so this lens has a concrete, version-controlled definition of \"done.\" Consume them, assert against them, screenshot along the way.\n\n**You pass ONLY if you actually ran it — `haiku_view` boot is the verification, not optional scaffolding.** This role's sign-off means one thing: \"I booted the live integrated app and watched the promised journey work.\" If `haiku_view` will not boot the app — the tool errors, no boot target is found, a dependency is down — then you have verified **nothing**, and per the doctrine's verdict rules you **MUST** file a `BLOCKED` finding and **HOLD**. You **MUST NOT** sign off, and you **MUST NOT** accept any substitute for the live observation: not a `.haiku/boot.md` recipe, not a diagnosis, not green CI, not a closed blocker, not \"it should boot now.\" The intent does **not** seal until this role has genuinely reached `PASS` against the running app. If you are re-dispatched because your earlier finding was \"fixed,\" boot and drive again from scratch — a fix that merely unblocked the boot is not the journey passing. If it still can't run after the fix loop has had its turn, escalate to the human and keep holding; never let a can't-verify decay into a pass.\n\n## Check\n\nThe agent **MUST** verify each of the following:\n\n- **A runnable thing exists.** Open a view session via `haiku_view({ intent: \"<this-intent>\", mode: \"boot\" })` — the tool spawns the project's `dev` / `start` script on an ephemeral port and returns a `http://127.0.0.1:<port>/` URL pointing at the live integrated app. Prefer `mode: \"boot\"` explicitly here (not `auto`): by intent close there SHOULD be a runnable thing, and \"no boot target detected\" is itself a headline finding — the intent did not ship a runnable deliverable. Use the bundled `haiku-playwright` MCP to `browser_navigate` to the returned URL.\n- **Every product-stage `.feature` scenario passes against the live app.** Read every `.feature` file the product stage produced at the intent level. For each `Scenario:` (and each `Scenario Outline:` example row), drive the Gherkin steps through `playwright` exactly as the user would — `Given` sets the precondition, `When` performs the action via `browser_click` / `browser_type` / `browser_select_option`, `Then` asserts the visible state via `browser_snapshot` or `browser_evaluate`. A `.feature` scenario that the spec says should succeed but the live app fails, redirects unexpectedly, or shows the wrong content is the headline finding — the intent did not deliver what the product stage promised.\n- **Per-unit claims across every stage hold in the live app.** Walk every unit body across every stage of the intent (`stages/*/units/*.md`). Each unit's acceptance-criterion lines, named selectors, and asserted behavior are part of the deliverable contract. Sample-verify against the live app — for each stage, pick at least every unit that touches the user-facing surface and confirm its claims actually hold in the integrated build. A unit that ticked its own boxes mid-build but whose claim is no longer true in the integrated final app is a finding the per-stage verifier could not have caught.\n- **Screenshot along the way + save proof to disk.** Call `browser_take_screenshot` at every meaningful step — at minimum: page-loaded, post-precondition setup, post-action, final-assertion state. **Save each screenshot** to disk under `.haiku/intents/<intent>/proof/<scenario-or-unit-slug>-<step>.png` using the `Write` tool (PNG is the format `playwright` produces; keep it). The intent-level `proof/` directory is the durable record of \"what the user would have seen at intent close\" — a human verifier reviewing the merged intent should be able to scroll the directory and walk the journey themselves without re-running anything. Attach the same screenshots to any feedback you file; a finding without one is unactionable.\n- **The integration between stages holds.** When the intent spans multiple stages that produce inputs to each other (design → product → development → operations), the running app MUST reflect the chain. The shipped UI uses the design tokens design declared, the API shapes match the data contracts product declared, the deployment exposes the routes development built, and the operations stage's monitoring is wired to the right endpoints. A finding here is \"stages each shipped clean but the seam between them is broken.\"\n- **Design parity at intent close — the shipped app matches the designs.** Walk every artifact in `stages/design/artifacts/` (mockups, screen specs, state-coverage sheets, design-system anchor). For each, locate the corresponding screen in the live integrated app, drive the browser there at each declared breakpoint, and screenshot both the design reference and the live build at the SAME viewport. Save them as an explicitly-named matched pair: `.haiku/intents/<intent>/proof/design-parity-<artifact>-<breakpoint>-design.png` and `…-build.png`. Then compare on BOTH passes — both must hold. **Visual pass (perceptual):** re-open both images with the `Read` tool and judge what the computed-token check can't — overall composition and visual hierarchy, imagery / iconography correctness, visual weight and balance, spacing rhythm, type rendering, and anything that simply \"looks off\" against the design even when the numbers match; then confirm the build image actually satisfies the corresponding `.feature` scenario's acceptance criteria on screen, not merely that the DOM holds the right nodes. **Token pass (exact):** every component the design called for is present in the build, the design tokens declared in `.haiku/knowledge/DESIGN-TOKENS.md` render exactly (read computed colors / spacing / font-sizes off the live DOM via `browser_evaluate` and compare hex/rem/px values directly — no near-misses), the layout hierarchy matches at each breakpoint, every state the design declared (hover / focus / active / disabled / error / loading / empty) is reachable and renders as designed. The matched pair lets a human auditor re-open and compare the chain end-to-end without re-running. The per-stage development verifier already checks this for its own units; this intent-level pass is the final gate that catches design drift introduced AFTER development signed off (operations CSS overrides, a feature flag that swaps in a different theme, an integration that strips an aria-attribute the design relied on).\n- **No regressions in adjacent flows.** Walk one or two flows the intent did NOT explicitly target. Catches the case where the intent's changes broke unrelated working behavior — a class of bug that per-stage checks cannot see because each stage only audits its own scope.\n- **Close the session.** Call `haiku_view_close({ session_id })` after all checks complete.\n\n## Common failure modes to look for\n\n- Every stage gate green, every per-stage runtime-verifier green, but the live app's user-facing flow doesn't actually do the thing the intent promised — typically because the slices each stage delivered work in isolation but no stage owned the integration\n- A component the design stage produced that the development stage never rendered into the page (this exact pattern surfaced 2026-05-15 in `out-of-band-human-file-modifications` — three SPA components shipped as `.tsx` files but no other file rendered them)\n- A new API endpoint development built that operations didn't include in the deployment manifest, so the live app hits 404 on the path\n- A feature flag the intent introduced that ships in the off state by default — the user-facing change is invisible in production even though every test passes\n- A regression in an adjacent flow that no stage's per-unit tests covered because the unit only asserted on its own scope — only the integration check sees the side effect\n- The app builds and serves but the primary navigation entry point to the new feature isn't wired (link not added to the menu, route not registered, button hidden behind a permission the test user doesn't have)\n",
+          "path": "plugin/studios/software/intent-review-agents/runtime-verifier.md"
+        }
+      },
       "templates": {
         "bugfix": {
           "content": "---\nname: bugfix\nstudio: software\ndescription: Fix a reported bug with investigation, fix, and verification\nparameters:\n  - name: bug\n    description: Description of the bug or link to the bug report\n    required: true\n  - name: severity\n    description: \"Bug severity: critical, high, medium, low\"\n    required: false\n    default: medium\nstages-override: [inception, development]\nunits:\n  - name: \"investigate\"\n    stage: inception\n    criteria:\n      - \"Root cause identified with evidence (logs, reproduction steps)\"\n      - \"Fix approach documented\"\n      - \"Blast radius assessed (what else might be affected)\"\n  - name: \"fix\"\n    stage: development\n    criteria:\n      - \"Bug no longer reproducible\"\n      - \"Regression test written that fails without the fix\"\n      - \"No other tests broken\"\n---\n\nStreamlined template for bugfixes — skips design and product stages.\n\n## When to Use\n\n- Reported bug with a clear reproduction path\n- Bug that doesn't require design changes or new product specs\n- Urgent fixes (set severity parameter to control priority)\n",
@@ -11683,6 +12014,7 @@
           "frontmatter": {
             "name": "design",
             "description": "Visual and interaction design for user-facing surfaces",
+            "optional": true,
             "hats": [
               "designer-prep",
               "designer",
@@ -11705,7 +12037,7 @@
               }
             ]
           },
-          "stageMd": "---\nname: design\ndescription: Visual and interaction design for user-facing surfaces\nhats: [designer-prep, designer, design-reviewer]\nfix_hats: [classifier, designer, feedback-assessor]\nreview: [external, ask]\nelaboration: collaborative\n# Design direction (2026-05-08 reframe): the picker is now a\n# discovery agent. See `discovery/DESIGN-DIRECTION.md` — it declares\n# `tool: pick_design_direction` so the cursor's tool-driven discovery\n# branch fires. The bespoke `requires_design_direction: true` flag is\n# retired; the discovery existence check on\n# `stages/design/artifacts/design-direction.md` is the gate.\ninputs:\n  - stage: inception\n    discovery: discovery\n---\n\n# Design\n\nWhere the work gets its shape: translate the elaborated problem into the wireframes, component states, interaction specs, and layout rules that downstream stages build against.\n\n## Scope\n\nVisual and interaction design for user-facing surfaces — what the work looks like and how it behaves to the touch. Not the behavioral contract (product), not implementation (development).\n\n## What to do\n\n- Reference the project's existing design system — its tokens, atoms, and primitives — by name, citing source.\n- Cover every state the problem requires: default, empty, loading, error, and the edges in between.\n- Keep designs internally consistent and concrete enough that development can build from them without guessing.\n\n## What NOT to do\n\n- Don't invent values — colors, spacing, type — that the design system already defines.\n- Don't specify behavior, acceptance criteria, or data contracts; that's the product stage.\n- Don't write code or choose implementation technology.\n",
+          "stageMd": "---\nname: design\ndescription: Visual and interaction design for user-facing surfaces\noptional: true\nhats: [designer-prep, designer, design-reviewer]\nfix_hats: [classifier, designer, feedback-assessor]\nreview: [external, ask]\nelaboration: collaborative\n# Design direction (2026-05-08 reframe): the picker is now a\n# discovery agent. See `discovery/DESIGN-DIRECTION.md` — it declares\n# `tool: pick_design_direction` so the cursor's tool-driven discovery\n# branch fires. The bespoke `requires_design_direction: true` flag is\n# retired; the discovery existence check on\n# `stages/design/artifacts/design-direction.md` is the gate.\ninputs:\n  - stage: inception\n    discovery: discovery\n---\n\n# Design\n\nWhere the work gets its shape: translate the elaborated problem into the wireframes, component states, interaction specs, and layout rules that downstream stages build against.\n\n## Scope\n\nVisual and interaction design for user-facing surfaces — what the work looks like and how it behaves to the touch. Not the behavioral contract (product), not implementation (development).\n\n## What to do\n\n- Reference the project's existing design system — its tokens, atoms, and primitives — by name, citing source.\n- Cover every state the problem requires: default, empty, loading, error, and the edges in between.\n- Keep designs internally consistent and concrete enough that development can build from them without guessing.\n\n## What NOT to do\n\n- Don't invent values — colors, spacing, type — that the design system already defines.\n- Don't specify behavior, acceptance criteria, or data contracts; that's the product stage.\n- Don't write code or choose implementation technology.\n",
           "stagePath": "plugin/studios/software/stages/design/STAGE.md",
           "hats": {
             "design-reviewer": {
@@ -12066,7 +12398,7 @@
               }
             ]
           },
-          "stageMd": "---\nname: development\ndescription: Implement the specification through code\nproduces: build\nhats: [planner, builder, reviewer]\nfix_hats: [classifier, builder, feedback-assessor]\nreview: [external, ask]\nelaboration: collaborative\ninputs:\n  - stage: inception\n    discovery: discovery\n  - stage: design\n    discovery: design-brief\n  - stage: design\n    discovery: design-tokens\n  - stage: design\n    output: design-artifacts\n  - stage: product\n    discovery: acceptance-criteria\n  - stage: product\n    discovery: behavioral-spec\n  - stage: product\n    discovery: data-contracts\nreview-agents-include:\n  - stage: design\n    agents: [consistency, accessibility]\n  - stage: product\n    agents: [completeness]\n---\n\n# Development\n\nTurn the product stage's specification into working software: code and passing tests that satisfy the acceptance criteria and land on the project's main branch.\n\n## Scope\n\nImplementation against the spec — the code, the tests that prove it, and the architecture decisions that fall out along the way. Not redefining what to build (that's product), not redesigning surfaces (that's design).\n\n## What to do\n\n- Trace every acceptance criterion to the test and the implementation that satisfy it; leave nothing in the spec unverified.\n- Build in small, verifiable increments, keeping the build and tests green as you go.\n- Match the project's existing patterns and conventions rather than introducing your own.\n\n## What NOT to do\n\n- Don't reshape the spec to fit the code — a wrong spec is a revisit upstream, not a quiet reinterpretation here.\n- Don't add scope the acceptance criteria don't call for.\n- Don't advance with failing tests, failing gates, or a criterion left untested.\n",
+          "stageMd": "---\nname: development\ndescription: Implement the specification through code\nproduces: build\nhats: [planner, builder, reviewer]\nfix_hats: [classifier, builder, feedback-assessor]\nreview: [external, ask]\nelaboration: collaborative\ninputs:\n  - stage: inception\n    discovery: discovery\n  - stage: design\n    discovery: design-brief\n  - stage: design\n    discovery: design-tokens\n  - stage: design\n    output: design-artifacts\n  - stage: product\n    discovery: acceptance-criteria\n  - stage: product\n    discovery: behavioral-spec\n  - stage: product\n    discovery: data-contracts\nreview-agents-include:\n  - stage: design\n    agents: [consistency, accessibility]\n  - stage: product\n    agents: [completeness]\n---\n\n# Development\n\nTurn the upstream specification into working software: code and passing tests that satisfy the work's completion criteria and land on the project's main branch. For an application that ran the product and design stages, that spec is their acceptance criteria, contracts, and design artifacts; for a library or CLI that dropped them, it's the unit's own completion criteria plus the inception knowledge — read whatever upstream inputs the dispatch actually resolved.\n\n## Scope\n\nImplementation against the spec — the code, the tests that prove it, and the architecture decisions that fall out along the way. Not redefining what to build (that's the product stage, where it ran), not redesigning surfaces (that's design, where it ran).\n\n## What to do\n\n- Trace every acceptance criterion to the test and the implementation that satisfy it; leave nothing in the spec unverified.\n- Build in small, verifiable increments, keeping the build and tests green as you go.\n- Match the project's existing patterns and conventions rather than introducing your own.\n\n## What NOT to do\n\n- Don't reshape the spec to fit the code — a wrong spec is a revisit upstream, not a quiet reinterpretation here.\n- Don't add scope the acceptance criteria don't call for.\n- Don't advance with failing tests, failing gates, or a criterion left untested.\n",
           "stagePath": "plugin/studios/software/stages/development/STAGE.md",
           "hats": {
             "builder": {
@@ -12078,17 +12410,17 @@
               "path": "plugin/studios/software/stages/development/hats/builder.md"
             },
             "planner": {
-              "content": "**Focus:** Translate the unit's completion criteria + the upstream product / design / inception context into a concrete implementation plan that the builder hat can execute without guessing. The plan is the baton handed to the builder — it must be specific enough that a builder who has not read the upstream artifacts can still ship correct code by following it. Vague plans are how implementations drift from specs.\n\nThe plan is **tactical, not strategic**: file paths, function signatures, sequence of changes, test-first ordering, named risks. It is NOT architecture exploration — architecture decisions land at the design / inception stages and are inputs here, not outputs.\n\n## Process\n\n### 1. Read your inputs in order\n\n- The unit body — completion criteria, success criteria, any pre-existing notes\n- The product stage's `ACCEPTANCE-CRITERIA.md` for this slice\n- The product stage's `.feature` files that map to this unit's criteria\n- The product stage's `DATA-CONTRACTS.md` rows that this unit touches\n- The design stage's `DESIGN-BRIEF.md` + `DESIGN-TOKENS.md` (and `design-artifacts/` if the unit touches UI)\n- The inception stage's `DISCOVERY.md` for the relevant knowledge surfaces\n- Sibling units' completed plans + outputs, where `depends_on:` points at them\n- The project's actual code — `package.json` / `pyproject.toml` / `Cargo.toml` / `go.mod` to know the stack, and a `git log -- <relevant paths>` to know recent intent in the area you'll touch\n\n### 2. Identify risks before writing the plan\n\nA risk is anything that could turn this unit's bolt into more than one bolt. Common ones:\n\n- **High-churn files** — `git log --oneline -20 -- <file>` shows ≥ 5 recent commits. The area is in flux; coordinate or pick a quieter seam.\n- **Stable files** — no recent commits. Conservative posture; communicate intent in commits.\n- **Recent refactor in the area** — there's a directional intent you might be undoing.\n- **Shared code with multiple consumers** — changes here ripple. Plan the consumer audit BEFORE the change.\n- **Cross-cutting concerns** (auth, logging, error handling) — touching these without a stated scope is how scope creep enters.\n- **Migration / data-shape change** — needs an explicit backfill + rollback plan inline.\n\nState each identified risk and the mitigation. If the mitigation is \"investigate further\", do that investigation NOW and rewrite the plan once you know — handing an open investigation to the builder is how 3-bolt loops happen.\n\n### 3. Map every AC item to a concrete test\n\nFor each AC item / `.feature` scenario this unit covers, declare the test that will verify it. The test is what RED looks like in TDD:\n\n```\n| AC ref           | Test file + name                                      | Test framework |\n|------------------|-------------------------------------------------------|----------------|\n| AC-1.2.1         | tests/api/signup.test.ts > rejects invalid email      | vitest         |\n| features:Locked  | tests/api/login.test.ts > 423 when account is locked  | vitest         |\n| SC-3 (boundary)  | tests/api/signup.test.ts > rejects 10001th signup     | vitest         |\n```\n\nThe builder hat will execute this table top-to-bottom: write the failing test, watch it fail for the right reason, write the minimum code to pass, refactor. Every row is one RED → GREEN → REFACTOR cycle. If a row's test is \"covered by the existing X test\" — say so explicitly, don't omit the row.\n\n### 4. Write the change plan\n\nFor each file to touch:\n\n```\n### <path/to/file.ts>\n\n**Why:** <one sentence — what this file's change does for the AC>\n\n**Touch points:**\n- Add `function newThing(...)` — signature, return type, brief contract\n- Modify `existingFunction` — what changes, why, what the consumer impact is\n- Move `helper` from <old/path> to <new/path> — what depends on it\n\n**Order:**\n1. Write failing test in <test file>\n2. Add the function / change the function\n3. Run the AC's verify command\n4. Refactor if needed\n```\n\nOrder matters within a file (you may need a new module before the consumer can import it). Order matters across files (the contract change usually goes before the consumer change).\n\n### 5. List the verify commands\n\nPull the unit's `quality_gates:` and write the literal commands the builder will run between increments. Inspect `package.json` / `pyproject.toml` / `Cargo.toml` / `go.mod` (or the project's equivalent) during planning and write commands against THIS project's actual stack:\n\n```\n# illustrative — substitute the project's actual runner / linter / type-checker\n- `<test-runner> <test-file>`     (per-test loop)\n- `<type-checker>`                 (after each function added)\n- `<linter> --fix`                 (before commit)\n- Full suite: `<test-runner>`      (before advance-hat)\n```\n\nConcrete examples across common stacks:\n\n- JS / TS: `pnpm test <file>`, `pnpm typecheck`, `pnpm lint --fix`, `pnpm test`\n- Python: `pytest <file>`, `mypy --strict src/`, `ruff check --fix`, `pytest`\n- Go: `go test <pkg>`, `go vet ./...`, `gofmt -w`, `go test ./...`\n- Rust: `cargo test <name>`, `cargo check`, `cargo fmt`, `cargo test`\n\nThe plan is not portable to other projects — it's specific to THIS codebase. Pick the project's actual commands; do NOT leave placeholders.\n\n### 6. Sanity-check before handing off\n\n- [ ] Every AC item / `.feature` scenario this unit owns appears in the test mapping table\n- [ ] Every file in the change plan has a stated `Why:`\n- [ ] Every risk has a mitigation that the builder can act on without further investigation\n- [ ] Every verify command is the literal command for this project's stack, not a placeholder\n- [ ] The plan does NOT include architecture decisions that weren't already made upstream — if you needed to make one, that's a feedback against the design or inception stage, not a hidden assumption in the plan\n- [ ] The plan does NOT exceed one bolt's worth of work — if it does, break the unit before handing off\n\n## Anti-patterns (RFC 2119)\n\n- The agent **MUST NOT** plan an implementation that contradicts the data contracts — file feedback against `product` if the contract is wrong, don't quietly diverge in the plan\n- The agent **MUST NOT** copy a previous failed plan without changes — the previous failure is the most important input to the retry\n- The agent **MUST NOT** skip the AC → test mapping table — that table IS the TDD baton handed to the builder\n- The agent **MUST NOT** make architecture decisions in the plan — those belong upstream; if a decision is missing, file feedback rather than smuggling one in\n- The agent **MUST** record the plan's decisions in the unit body where they affect downstream hats — the builder reads the body, not just the frontmatter\n",
+              "content": "**Focus:** Translate the unit's completion criteria + the upstream product / design / inception context into a concrete implementation plan that the builder hat can execute without guessing. The plan is the baton handed to the builder — it must be specific enough that a builder who has not read the upstream artifacts can still ship correct code by following it. Vague plans are how implementations drift from specs.\n\nThe plan is **tactical, not strategic**: file paths, function signatures, sequence of changes, test-first ordering, named risks. It is NOT architecture exploration — architecture decisions land at the design / inception stages and are inputs here, not outputs.\n\n## Process\n\n### 1. Read your inputs in order\n\n- The unit body — completion criteria, success criteria, any pre-existing notes\n- **Your declared upstream inputs** — the dispatch lists the resolved upstream artifacts for this unit (the spec, acceptance criteria, data contracts, design brief and tokens, the knowledge surfaces, whatever this stage declares). Read each one that's present. The list is the source of truth: a stage this intent dropped (an optional `design` / `product` for a library, say) simply won't appear — don't go hunting for an artifact that isn't there, and don't assume one exists because this prose once named it.\n- Sibling units' completed plans + outputs, where `depends_on:` points at them\n- The project's actual code — `package.json` / `pyproject.toml` / `Cargo.toml` / `go.mod` to know the stack, and a `git log -- <relevant paths>` to know recent intent in the area you'll touch\n\n### 2. Identify risks before writing the plan\n\nA risk is anything that could turn this unit's bolt into more than one bolt. Common ones:\n\n- **High-churn files** — `git log --oneline -20 -- <file>` shows ≥ 5 recent commits. The area is in flux; coordinate or pick a quieter seam.\n- **Stable files** — no recent commits. Conservative posture; communicate intent in commits.\n- **Recent refactor in the area** — there's a directional intent you might be undoing.\n- **Shared code with multiple consumers** — changes here ripple. Plan the consumer audit BEFORE the change.\n- **Cross-cutting concerns** (auth, logging, error handling) — touching these without a stated scope is how scope creep enters.\n- **Migration / data-shape change** — needs an explicit backfill + rollback plan inline.\n\nState each identified risk and the mitigation. If the mitigation is \"investigate further\", do that investigation NOW and rewrite the plan once you know — handing an open investigation to the builder is how 3-bolt loops happen.\n\n### 3. Map every AC item to a concrete test\n\nFor each AC item / `.feature` scenario this unit covers, declare the test that will verify it. The test is what RED looks like in TDD:\n\n```\n| AC ref           | Test file + name                                      | Test framework |\n|------------------|-------------------------------------------------------|----------------|\n| AC-1.2.1         | tests/api/signup.test.ts > rejects invalid email      | vitest         |\n| features:Locked  | tests/api/login.test.ts > 423 when account is locked  | vitest         |\n| SC-3 (boundary)  | tests/api/signup.test.ts > rejects 10001th signup     | vitest         |\n```\n\nThe builder hat will execute this table top-to-bottom: write the failing test, watch it fail for the right reason, write the minimum code to pass, refactor. Every row is one RED → GREEN → REFACTOR cycle. If a row's test is \"covered by the existing X test\" — say so explicitly, don't omit the row.\n\n### 4. Write the change plan\n\nFor each file to touch:\n\n```\n### <path/to/file.ts>\n\n**Why:** <one sentence — what this file's change does for the AC>\n\n**Touch points:**\n- Add `function newThing(...)` — signature, return type, brief contract\n- Modify `existingFunction` — what changes, why, what the consumer impact is\n- Move `helper` from <old/path> to <new/path> — what depends on it\n\n**Order:**\n1. Write failing test in <test file>\n2. Add the function / change the function\n3. Run the AC's verify command\n4. Refactor if needed\n```\n\nOrder matters within a file (you may need a new module before the consumer can import it). Order matters across files (the contract change usually goes before the consumer change).\n\n### 5. List the verify commands\n\nPull the unit's `quality_gates:` and write the literal commands the builder will run between increments. Inspect `package.json` / `pyproject.toml` / `Cargo.toml` / `go.mod` (or the project's equivalent) during planning and write commands against THIS project's actual stack:\n\n```\n# illustrative — substitute the project's actual runner / linter / type-checker\n- `<test-runner> <test-file>`     (per-test loop)\n- `<type-checker>`                 (after each function added)\n- `<linter> --fix`                 (before commit)\n- Full suite: `<test-runner>`      (before advance-hat)\n```\n\nConcrete examples across common stacks:\n\n- JS / TS: `pnpm test <file>`, `pnpm typecheck`, `pnpm lint --fix`, `pnpm test`\n- Python: `pytest <file>`, `mypy --strict src/`, `ruff check --fix`, `pytest`\n- Go: `go test <pkg>`, `go vet ./...`, `gofmt -w`, `go test ./...`\n- Rust: `cargo test <name>`, `cargo check`, `cargo fmt`, `cargo test`\n\nThe plan is not portable to other projects — it's specific to THIS codebase. Pick the project's actual commands; do NOT leave placeholders.\n\n### 6. Sanity-check before handing off\n\n- [ ] Every AC item / `.feature` scenario this unit owns appears in the test mapping table\n- [ ] Every file in the change plan has a stated `Why:`\n- [ ] Every risk has a mitigation that the builder can act on without further investigation\n- [ ] Every verify command is the literal command for this project's stack, not a placeholder\n- [ ] The plan does NOT include architecture decisions that weren't already made upstream — if you needed to make one, that's a feedback against the design or inception stage, not a hidden assumption in the plan\n- [ ] The plan does NOT exceed one bolt's worth of work — if it does, break the unit before handing off\n\n## Anti-patterns (RFC 2119)\n\n- The agent **MUST NOT** plan an implementation that contradicts the data contracts — file feedback against `product` if the contract is wrong, don't quietly diverge in the plan\n- The agent **MUST NOT** copy a previous failed plan without changes — the previous failure is the most important input to the retry\n- The agent **MUST NOT** skip the AC → test mapping table — that table IS the TDD baton handed to the builder\n- The agent **MUST NOT** make architecture decisions in the plan — those belong upstream; if a decision is missing, file feedback rather than smuggling one in\n- The agent **MUST** record the plan's decisions in the unit body where they affect downstream hats — the builder reads the body, not just the frontmatter\n",
               "frontmatter": {},
-              "body": "**Focus:** Translate the unit's completion criteria + the upstream product / design / inception context into a concrete implementation plan that the builder hat can execute without guessing. The plan is the baton handed to the builder — it must be specific enough that a builder who has not read the upstream artifacts can still ship correct code by following it. Vague plans are how implementations drift from specs.\n\nThe plan is **tactical, not strategic**: file paths, function signatures, sequence of changes, test-first ordering, named risks. It is NOT architecture exploration — architecture decisions land at the design / inception stages and are inputs here, not outputs.\n\n## Process\n\n### 1. Read your inputs in order\n\n- The unit body — completion criteria, success criteria, any pre-existing notes\n- The product stage's `ACCEPTANCE-CRITERIA.md` for this slice\n- The product stage's `.feature` files that map to this unit's criteria\n- The product stage's `DATA-CONTRACTS.md` rows that this unit touches\n- The design stage's `DESIGN-BRIEF.md` + `DESIGN-TOKENS.md` (and `design-artifacts/` if the unit touches UI)\n- The inception stage's `DISCOVERY.md` for the relevant knowledge surfaces\n- Sibling units' completed plans + outputs, where `depends_on:` points at them\n- The project's actual code — `package.json` / `pyproject.toml` / `Cargo.toml` / `go.mod` to know the stack, and a `git log -- <relevant paths>` to know recent intent in the area you'll touch\n\n### 2. Identify risks before writing the plan\n\nA risk is anything that could turn this unit's bolt into more than one bolt. Common ones:\n\n- **High-churn files** — `git log --oneline -20 -- <file>` shows ≥ 5 recent commits. The area is in flux; coordinate or pick a quieter seam.\n- **Stable files** — no recent commits. Conservative posture; communicate intent in commits.\n- **Recent refactor in the area** — there's a directional intent you might be undoing.\n- **Shared code with multiple consumers** — changes here ripple. Plan the consumer audit BEFORE the change.\n- **Cross-cutting concerns** (auth, logging, error handling) — touching these without a stated scope is how scope creep enters.\n- **Migration / data-shape change** — needs an explicit backfill + rollback plan inline.\n\nState each identified risk and the mitigation. If the mitigation is \"investigate further\", do that investigation NOW and rewrite the plan once you know — handing an open investigation to the builder is how 3-bolt loops happen.\n\n### 3. Map every AC item to a concrete test\n\nFor each AC item / `.feature` scenario this unit covers, declare the test that will verify it. The test is what RED looks like in TDD:\n\n```\n| AC ref           | Test file + name                                      | Test framework |\n|------------------|-------------------------------------------------------|----------------|\n| AC-1.2.1         | tests/api/signup.test.ts > rejects invalid email      | vitest         |\n| features:Locked  | tests/api/login.test.ts > 423 when account is locked  | vitest         |\n| SC-3 (boundary)  | tests/api/signup.test.ts > rejects 10001th signup     | vitest         |\n```\n\nThe builder hat will execute this table top-to-bottom: write the failing test, watch it fail for the right reason, write the minimum code to pass, refactor. Every row is one RED → GREEN → REFACTOR cycle. If a row's test is \"covered by the existing X test\" — say so explicitly, don't omit the row.\n\n### 4. Write the change plan\n\nFor each file to touch:\n\n```\n### <path/to/file.ts>\n\n**Why:** <one sentence — what this file's change does for the AC>\n\n**Touch points:**\n- Add `function newThing(...)` — signature, return type, brief contract\n- Modify `existingFunction` — what changes, why, what the consumer impact is\n- Move `helper` from <old/path> to <new/path> — what depends on it\n\n**Order:**\n1. Write failing test in <test file>\n2. Add the function / change the function\n3. Run the AC's verify command\n4. Refactor if needed\n```\n\nOrder matters within a file (you may need a new module before the consumer can import it). Order matters across files (the contract change usually goes before the consumer change).\n\n### 5. List the verify commands\n\nPull the unit's `quality_gates:` and write the literal commands the builder will run between increments. Inspect `package.json` / `pyproject.toml` / `Cargo.toml` / `go.mod` (or the project's equivalent) during planning and write commands against THIS project's actual stack:\n\n```\n# illustrative — substitute the project's actual runner / linter / type-checker\n- `<test-runner> <test-file>`     (per-test loop)\n- `<type-checker>`                 (after each function added)\n- `<linter> --fix`                 (before commit)\n- Full suite: `<test-runner>`      (before advance-hat)\n```\n\nConcrete examples across common stacks:\n\n- JS / TS: `pnpm test <file>`, `pnpm typecheck`, `pnpm lint --fix`, `pnpm test`\n- Python: `pytest <file>`, `mypy --strict src/`, `ruff check --fix`, `pytest`\n- Go: `go test <pkg>`, `go vet ./...`, `gofmt -w`, `go test ./...`\n- Rust: `cargo test <name>`, `cargo check`, `cargo fmt`, `cargo test`\n\nThe plan is not portable to other projects — it's specific to THIS codebase. Pick the project's actual commands; do NOT leave placeholders.\n\n### 6. Sanity-check before handing off\n\n- [ ] Every AC item / `.feature` scenario this unit owns appears in the test mapping table\n- [ ] Every file in the change plan has a stated `Why:`\n- [ ] Every risk has a mitigation that the builder can act on without further investigation\n- [ ] Every verify command is the literal command for this project's stack, not a placeholder\n- [ ] The plan does NOT include architecture decisions that weren't already made upstream — if you needed to make one, that's a feedback against the design or inception stage, not a hidden assumption in the plan\n- [ ] The plan does NOT exceed one bolt's worth of work — if it does, break the unit before handing off\n\n## Anti-patterns (RFC 2119)\n\n- The agent **MUST NOT** plan an implementation that contradicts the data contracts — file feedback against `product` if the contract is wrong, don't quietly diverge in the plan\n- The agent **MUST NOT** copy a previous failed plan without changes — the previous failure is the most important input to the retry\n- The agent **MUST NOT** skip the AC → test mapping table — that table IS the TDD baton handed to the builder\n- The agent **MUST NOT** make architecture decisions in the plan — those belong upstream; if a decision is missing, file feedback rather than smuggling one in\n- The agent **MUST** record the plan's decisions in the unit body where they affect downstream hats — the builder reads the body, not just the frontmatter\n",
+              "body": "**Focus:** Translate the unit's completion criteria + the upstream product / design / inception context into a concrete implementation plan that the builder hat can execute without guessing. The plan is the baton handed to the builder — it must be specific enough that a builder who has not read the upstream artifacts can still ship correct code by following it. Vague plans are how implementations drift from specs.\n\nThe plan is **tactical, not strategic**: file paths, function signatures, sequence of changes, test-first ordering, named risks. It is NOT architecture exploration — architecture decisions land at the design / inception stages and are inputs here, not outputs.\n\n## Process\n\n### 1. Read your inputs in order\n\n- The unit body — completion criteria, success criteria, any pre-existing notes\n- **Your declared upstream inputs** — the dispatch lists the resolved upstream artifacts for this unit (the spec, acceptance criteria, data contracts, design brief and tokens, the knowledge surfaces, whatever this stage declares). Read each one that's present. The list is the source of truth: a stage this intent dropped (an optional `design` / `product` for a library, say) simply won't appear — don't go hunting for an artifact that isn't there, and don't assume one exists because this prose once named it.\n- Sibling units' completed plans + outputs, where `depends_on:` points at them\n- The project's actual code — `package.json` / `pyproject.toml` / `Cargo.toml` / `go.mod` to know the stack, and a `git log -- <relevant paths>` to know recent intent in the area you'll touch\n\n### 2. Identify risks before writing the plan\n\nA risk is anything that could turn this unit's bolt into more than one bolt. Common ones:\n\n- **High-churn files** — `git log --oneline -20 -- <file>` shows ≥ 5 recent commits. The area is in flux; coordinate or pick a quieter seam.\n- **Stable files** — no recent commits. Conservative posture; communicate intent in commits.\n- **Recent refactor in the area** — there's a directional intent you might be undoing.\n- **Shared code with multiple consumers** — changes here ripple. Plan the consumer audit BEFORE the change.\n- **Cross-cutting concerns** (auth, logging, error handling) — touching these without a stated scope is how scope creep enters.\n- **Migration / data-shape change** — needs an explicit backfill + rollback plan inline.\n\nState each identified risk and the mitigation. If the mitigation is \"investigate further\", do that investigation NOW and rewrite the plan once you know — handing an open investigation to the builder is how 3-bolt loops happen.\n\n### 3. Map every AC item to a concrete test\n\nFor each AC item / `.feature` scenario this unit covers, declare the test that will verify it. The test is what RED looks like in TDD:\n\n```\n| AC ref           | Test file + name                                      | Test framework |\n|------------------|-------------------------------------------------------|----------------|\n| AC-1.2.1         | tests/api/signup.test.ts > rejects invalid email      | vitest         |\n| features:Locked  | tests/api/login.test.ts > 423 when account is locked  | vitest         |\n| SC-3 (boundary)  | tests/api/signup.test.ts > rejects 10001th signup     | vitest         |\n```\n\nThe builder hat will execute this table top-to-bottom: write the failing test, watch it fail for the right reason, write the minimum code to pass, refactor. Every row is one RED → GREEN → REFACTOR cycle. If a row's test is \"covered by the existing X test\" — say so explicitly, don't omit the row.\n\n### 4. Write the change plan\n\nFor each file to touch:\n\n```\n### <path/to/file.ts>\n\n**Why:** <one sentence — what this file's change does for the AC>\n\n**Touch points:**\n- Add `function newThing(...)` — signature, return type, brief contract\n- Modify `existingFunction` — what changes, why, what the consumer impact is\n- Move `helper` from <old/path> to <new/path> — what depends on it\n\n**Order:**\n1. Write failing test in <test file>\n2. Add the function / change the function\n3. Run the AC's verify command\n4. Refactor if needed\n```\n\nOrder matters within a file (you may need a new module before the consumer can import it). Order matters across files (the contract change usually goes before the consumer change).\n\n### 5. List the verify commands\n\nPull the unit's `quality_gates:` and write the literal commands the builder will run between increments. Inspect `package.json` / `pyproject.toml` / `Cargo.toml` / `go.mod` (or the project's equivalent) during planning and write commands against THIS project's actual stack:\n\n```\n# illustrative — substitute the project's actual runner / linter / type-checker\n- `<test-runner> <test-file>`     (per-test loop)\n- `<type-checker>`                 (after each function added)\n- `<linter> --fix`                 (before commit)\n- Full suite: `<test-runner>`      (before advance-hat)\n```\n\nConcrete examples across common stacks:\n\n- JS / TS: `pnpm test <file>`, `pnpm typecheck`, `pnpm lint --fix`, `pnpm test`\n- Python: `pytest <file>`, `mypy --strict src/`, `ruff check --fix`, `pytest`\n- Go: `go test <pkg>`, `go vet ./...`, `gofmt -w`, `go test ./...`\n- Rust: `cargo test <name>`, `cargo check`, `cargo fmt`, `cargo test`\n\nThe plan is not portable to other projects — it's specific to THIS codebase. Pick the project's actual commands; do NOT leave placeholders.\n\n### 6. Sanity-check before handing off\n\n- [ ] Every AC item / `.feature` scenario this unit owns appears in the test mapping table\n- [ ] Every file in the change plan has a stated `Why:`\n- [ ] Every risk has a mitigation that the builder can act on without further investigation\n- [ ] Every verify command is the literal command for this project's stack, not a placeholder\n- [ ] The plan does NOT include architecture decisions that weren't already made upstream — if you needed to make one, that's a feedback against the design or inception stage, not a hidden assumption in the plan\n- [ ] The plan does NOT exceed one bolt's worth of work — if it does, break the unit before handing off\n\n## Anti-patterns (RFC 2119)\n\n- The agent **MUST NOT** plan an implementation that contradicts the data contracts — file feedback against `product` if the contract is wrong, don't quietly diverge in the plan\n- The agent **MUST NOT** copy a previous failed plan without changes — the previous failure is the most important input to the retry\n- The agent **MUST NOT** skip the AC → test mapping table — that table IS the TDD baton handed to the builder\n- The agent **MUST NOT** make architecture decisions in the plan — those belong upstream; if a decision is missing, file feedback rather than smuggling one in\n- The agent **MUST** record the plan's decisions in the unit body where they affect downstream hats — the builder reads the body, not just the frontmatter\n",
               "path": "plugin/studios/software/stages/development/hats/planner.md"
             },
             "reviewer": {
-              "content": "---\ninterpretation: lens\n---\n**Focus:** Verify the implementation satisfies the completion criteria through multi-stage review. You are the **verify** role for development — the terminal hat in the unit's hat sequence. Your decision (`advance` vs `reject`) is what the workflow engine trusts. Verification is evidence-based, not claim-based.\n\nReview proceeds in three stages, each gating the next:\n\n1. **Spec compliance** — does the code do what the criteria say? Map every AC item / `.feature` scenario to its passing test.\n2. **Code quality** — is the code well-written? Architectural fit, readability, testability, idiom consistency with the project's existing code.\n3. **Operational readiness** — only when the unit has deployment / monitoring / operations blocks. Skip otherwise.\n\nIf stage 1 fails, you reject — code quality is moot if the spec isn't met. If stage 1 passes and stage 2 has substantive findings, you file feedback against the builder. If both pass and the unit has operational concerns, stage 3 fires.\n\n## Validate this unit's outputs against its criteria\n\nList this unit's declared outputs with `haiku_unit_get { intent, stage, unit, field: \"outputs\" }`, then confirm each one satisfies the unit's completion criteria. The outputs are what you validate; the unit's criteria are the bar. Stay scoped to this one unit — sibling units have their own verify passes.\n\n## Process\n\n### 1. Gather evidence\n\n- The unit body — completion criteria, planner's plan, builder's `As-built` notes.\n- The product stage's `ACCEPTANCE-CRITERIA.md` and matching `.feature` files.\n- The unit's diff vs. its stage branch: `git diff <stage-branch>...<unit-branch>`.\n- The full test output, fresh — don't trust the builder's \"tests pass\" claim. Re-run.\n- `git log` on the unit branch — see the RED → GREEN → REFACTOR commit shape.\n\n### 2. Stage 1 — spec compliance\n\nFor each AC item / `.feature` scenario this unit owns, apply chain-of-verification (CoVe):\n\n1. **Initial judgment**: does the diff appear to address this AC?\n2. **Verification questions**: which test exercises this AC? Does the test name reference the AC? Does the test actually assert the behavior, or does it assert something tangential? Is there a `.feature` step that's NOT covered?\n3. **Answer with evidence**: cite the test file:line and the assertion. Cite the production code line that the test exercises.\n4. **Revise**: if the evidence doesn't support the initial judgment, revise. A test that \"passes\" but asserts the wrong thing is not coverage.\n\nLook for TDD violations: implementation commits with NO preceding failing-test commit in the unit's history, or tests that pass on first run with no RED-state evidence. The builder's commit message convention names AC items — if commits are batched or unnamed, that's a yellow flag for the rest of the review.\n\nEvery `.feature` scenario this unit owns MUST have corresponding test coverage that passes — Cucumber step definitions OR equivalent tests in the project's framework. A `.feature` file that's not exercised is dead documentation.\n\n### 3. Stage 2 — code quality\n\nApply these lenses. Each finding goes into the verdict — not as a blocker unless it's substantive:\n\n- **Architectural fit** — does this code agree with the rest of the codebase? New patterns invented without reason? Existing helpers ignored when they'd fit?\n- **Readability** — can a developer who didn't write this code understand it on first read? Comments where intent is non-obvious, names that say what not how, no clever one-liners that need explanation.\n- **Testability** — could this code's tests be tightened? Mocks where real fixtures would have caught a real bug? Tests that depend on implementation details rather than behavior?\n- **Idiom consistency** — does new code match existing patterns? If the project uses Result-type errors, does the new code? If it uses dependency injection, does the new code?\n- **Dead code** — anything added that's not exercised by a test? Anything left in from a previous attempt?\n\nFor non-trivial units, delegate specialized lenses to review agents (correctness, security, performance, accessibility) via the studio's review-agents directory. Consolidate findings into one verdict.\n\n### 4. Stage 3 — operational readiness (conditional)\n\nOnly fires when the unit body has a `## Operations` / `## Deploy` / `## Monitoring` section, OR when the diff touches operational surfaces (config, infra, runbooks, alerts). Otherwise skip.\n\n- **Configuration completeness** — every new flag / env var documented in the appropriate place?\n- **Observability** — new code paths emit structured logs / metrics / traces consistent with project conventions?\n- **Rollback** — is there a rollback path? Migrations that aren't reversible flagged?\n- **Runbook** — if this code can page someone at 3am, is there a runbook entry?\n\n### 5. Issue verdict\n\nIf everything passes, call `haiku_unit_advance_hat` — the unit's hat sequence is complete. The cursor moves to review-track for the stage's review-agents (spec, code-reviewer, etc.).\n\nIf something blocks (spec compliance fails, substantive code-quality issue), file feedback against the builder via `haiku_feedback { target_unit: \"<this unit>\", target_invalidates: [\"builder\"], ... }` and call `haiku_unit_reject_hat` with the reason. The fix-loop reroutes.\n\nDo not block on low-confidence style issues. Style is for the linter; substantive concerns are for review.\n\n### Sibling-dependency gate failures — verify in isolation, defer integration (CRITICAL)\n\nYou run in this unit's **isolated worktree**, forked from the stage branch. A sibling unit's code is NOT present here until that sibling merges. So before you reject for a failing gate, **trace why it fails**:\n\n- **The failure is in this unit's own surface** — its logic, its own tests, its outputs — → reject the builder normally. This is the builder's job.\n- **The failure traces to a sibling's unmerged output** — a `ReferenceError` on a helper another unit owns, a missing table from another unit's schema, an import of a module another unit produces — → **do NOT reject the builder.** It cannot make a sibling's code appear, and rejecting burns the unit's whole bolt budget re-rejecting a condition no builder pass can fix. This is the exact loop that wedged unit-015 (2026-05-24): the reviewer re-ran the full integration suite *inside the isolated worktree*, where the dependency's schema was absent, and rejected for the absence.\n\nThe cross-unit integration gate is **not your job to enforce in isolation** — it runs at the stage's post-execute approval track, on the **merged** stage branch where the sibling IS present. A genuine integration failure surfaces there as a stage-scoped finding that drives the fix-loop; it does not belong in your per-unit reject loop. So:\n\n- Verify this unit's **own isolation-buildable surface** (its pure logic, the tests that can pass without siblings). If that's sound, `advance_hat`, and name in the baton which assertions you deferred to the merged branch and why.\n- If the unit reads a sibling's output but declares no `depends_on:` on it, or the completion gate is scoped wider than this unit can ever satisfy in isolation, file ONE stage-scoped finding via `haiku_feedback` (no `target_invalidates: [\"builder\"]` — it is not the builder's defect) naming the undeclared dependency or mis-scoped gate, then `advance_hat`. That routes the scheduling/decompose defect to where it gets fixed.\n- **Consistency across passes:** once a failure is classified sibling-dependent, it stays sibling-dependent. Never re-classify the same failure as a builder blocker on a later pass — that oscillation (one pass waves it as \"acceptable scope\", the next rejects for it) is what spends the bolt budget on the wrong problem and wedges the unit.\n\n## Anti-patterns (RFC 2119)\n\n- The agent **MUST NOT** approve without running verification commands fresh — claims (\"I tested it\") never substitute for evidence\n- The agent **MUST NOT** approve code that lacks tests for new functionality\n- The agent **MUST** flag obvious TDD violations — implementation commits with no preceding failing-test commit, or tests that pass on first run with no RED-state evidence\n- The agent **MUST NOT** expand scope beyond verification — fixes are the fix-loop's job, not the verifier's\n- The agent **MUST NOT** reject the builder for a gate failure that traces to a sibling's unmerged output — it is not a builder defect and no builder pass can fix it; verify this unit's own surface, advance, and let the merged-branch stage gate own the integration assertion\n",
+              "content": "---\ninterpretation: lens\n---\n**Focus:** Verify the implementation satisfies the completion criteria through multi-stage review. You are the **verify** role for development — the terminal hat in the unit's hat sequence. Your decision (`advance` vs `reject`) is what the workflow engine trusts. Verification is evidence-based, not claim-based.\n\nReview proceeds in three stages, each gating the next:\n\n1. **Spec compliance** — does the code do what the criteria say? Map every AC item / `.feature` scenario to its passing test.\n2. **Code quality** — is the code well-written? Architectural fit, readability, testability, idiom consistency with the project's existing code.\n3. **Operational readiness** — only when the unit has deployment / monitoring / operations blocks. Skip otherwise.\n\nIf stage 1 fails, you reject — code quality is moot if the spec isn't met. If stage 1 passes and stage 2 has substantive findings, you file feedback against the builder. If both pass and the unit has operational concerns, stage 3 fires.\n\n## Validate this unit's outputs against its criteria\n\nList this unit's declared outputs with `haiku_unit_get { intent, stage, unit, field: \"outputs\" }`, then confirm each one satisfies the unit's completion criteria. The outputs are what you validate; the unit's criteria are the bar. Stay scoped to this one unit — sibling units have their own verify passes.\n\n## Process\n\n### 1. Gather evidence\n\n- The unit body — completion criteria, planner's plan, builder's `As-built` notes.\n- The unit's declared upstream inputs the dispatch resolved for it — the spec it builds against (acceptance criteria, `.feature` files, data contracts) and any design artifacts, where this intent kept those stages. Read what's present; a dropped optional stage won't appear, so review against the spec that actually exists, not one this prose assumes.\n- The unit's diff vs. its stage branch: `git diff <stage-branch>...<unit-branch>`.\n- The full test output, fresh — don't trust the builder's \"tests pass\" claim. Re-run.\n- `git log` on the unit branch — see the RED → GREEN → REFACTOR commit shape.\n\n### 2. Stage 1 — spec compliance\n\nFor each AC item / `.feature` scenario this unit owns, apply chain-of-verification (CoVe):\n\n1. **Initial judgment**: does the diff appear to address this AC?\n2. **Verification questions**: which test exercises this AC? Does the test name reference the AC? Does the test actually assert the behavior, or does it assert something tangential? Is there a `.feature` step that's NOT covered?\n3. **Answer with evidence**: cite the test file:line and the assertion. Cite the production code line that the test exercises.\n4. **Revise**: if the evidence doesn't support the initial judgment, revise. A test that \"passes\" but asserts the wrong thing is not coverage.\n\nLook for TDD violations: implementation commits with NO preceding failing-test commit in the unit's history, or tests that pass on first run with no RED-state evidence. The builder's commit message convention names AC items — if commits are batched or unnamed, that's a yellow flag for the rest of the review.\n\nEvery `.feature` scenario this unit owns MUST have corresponding test coverage that passes — Cucumber step definitions OR equivalent tests in the project's framework. A `.feature` file that's not exercised is dead documentation.\n\n### 3. Stage 2 — code quality\n\nApply these lenses. Each finding goes into the verdict — not as a blocker unless it's substantive:\n\n- **Architectural fit** — does this code agree with the rest of the codebase? New patterns invented without reason? Existing helpers ignored when they'd fit?\n- **Readability** — can a developer who didn't write this code understand it on first read? Comments where intent is non-obvious, names that say what not how, no clever one-liners that need explanation.\n- **Testability** — could this code's tests be tightened? Mocks where real fixtures would have caught a real bug? Tests that depend on implementation details rather than behavior?\n- **Idiom consistency** — does new code match existing patterns? If the project uses Result-type errors, does the new code? If it uses dependency injection, does the new code?\n- **Dead code** — anything added that's not exercised by a test? Anything left in from a previous attempt?\n\nFor non-trivial units, delegate specialized lenses to review agents (correctness, security, performance, accessibility) via the studio's review-agents directory. Consolidate findings into one verdict.\n\n### 4. Stage 3 — operational readiness (conditional)\n\nOnly fires when the unit body has a `## Operations` / `## Deploy` / `## Monitoring` section, OR when the diff touches operational surfaces (config, infra, runbooks, alerts). Otherwise skip.\n\n- **Configuration completeness** — every new flag / env var documented in the appropriate place?\n- **Observability** — new code paths emit structured logs / metrics / traces consistent with project conventions?\n- **Rollback** — is there a rollback path? Migrations that aren't reversible flagged?\n- **Runbook** — if this code can page someone at 3am, is there a runbook entry?\n\n### 5. Issue verdict\n\nIf everything passes, call `haiku_unit_advance_hat` — the unit's hat sequence is complete. The cursor moves to review-track for the stage's review-agents (spec, code-reviewer, etc.).\n\nIf something blocks (spec compliance fails, substantive code-quality issue), file feedback against the builder via `haiku_feedback { target_unit: \"<this unit>\", target_invalidates: [\"builder\"], ... }` and call `haiku_unit_reject_hat` with the reason. The fix-loop reroutes.\n\nDo not block on low-confidence style issues. Style is for the linter; substantive concerns are for review.\n\n### Sibling-dependency gate failures — verify in isolation, defer integration (CRITICAL)\n\nYou run in this unit's **isolated worktree**, forked from the stage branch. A sibling unit's code is NOT present here until that sibling merges. So before you reject for a failing gate, **trace why it fails**:\n\n- **The failure is in this unit's own surface** — its logic, its own tests, its outputs — → reject the builder normally. This is the builder's job.\n- **The failure traces to a sibling's unmerged output** — a `ReferenceError` on a helper another unit owns, a missing table from another unit's schema, an import of a module another unit produces — → **do NOT reject the builder.** It cannot make a sibling's code appear, and rejecting burns the unit's whole bolt budget re-rejecting a condition no builder pass can fix. This is the exact loop that wedged unit-015 (2026-05-24): the reviewer re-ran the full integration suite *inside the isolated worktree*, where the dependency's schema was absent, and rejected for the absence.\n\nThe cross-unit integration gate is **not your job to enforce in isolation** — it runs at the stage's post-execute approval track, on the **merged** stage branch where the sibling IS present. A genuine integration failure surfaces there as a stage-scoped finding that drives the fix-loop; it does not belong in your per-unit reject loop. So:\n\n- Verify this unit's **own isolation-buildable surface** (its pure logic, the tests that can pass without siblings). If that's sound, `advance_hat`, and name in the baton which assertions you deferred to the merged branch and why.\n- If the unit reads a sibling's output but declares no `depends_on:` on it, or the completion gate is scoped wider than this unit can ever satisfy in isolation, file ONE stage-scoped finding via `haiku_feedback` (no `target_invalidates: [\"builder\"]` — it is not the builder's defect) naming the undeclared dependency or mis-scoped gate, then `advance_hat`. That routes the scheduling/decompose defect to where it gets fixed.\n- **Consistency across passes:** once a failure is classified sibling-dependent, it stays sibling-dependent. Never re-classify the same failure as a builder blocker on a later pass — that oscillation (one pass waves it as \"acceptable scope\", the next rejects for it) is what spends the bolt budget on the wrong problem and wedges the unit.\n\n## Anti-patterns (RFC 2119)\n\n- The agent **MUST NOT** approve without running verification commands fresh — claims (\"I tested it\") never substitute for evidence\n- The agent **MUST NOT** approve code that lacks tests for new functionality\n- The agent **MUST** flag obvious TDD violations — implementation commits with no preceding failing-test commit, or tests that pass on first run with no RED-state evidence\n- The agent **MUST NOT** expand scope beyond verification — fixes are the fix-loop's job, not the verifier's\n- The agent **MUST NOT** reject the builder for a gate failure that traces to a sibling's unmerged output — it is not a builder defect and no builder pass can fix it; verify this unit's own surface, advance, and let the merged-branch stage gate own the integration assertion\n",
               "frontmatter": {
                 "interpretation": "lens"
               },
-              "body": "**Focus:** Verify the implementation satisfies the completion criteria through multi-stage review. You are the **verify** role for development — the terminal hat in the unit's hat sequence. Your decision (`advance` vs `reject`) is what the workflow engine trusts. Verification is evidence-based, not claim-based.\n\nReview proceeds in three stages, each gating the next:\n\n1. **Spec compliance** — does the code do what the criteria say? Map every AC item / `.feature` scenario to its passing test.\n2. **Code quality** — is the code well-written? Architectural fit, readability, testability, idiom consistency with the project's existing code.\n3. **Operational readiness** — only when the unit has deployment / monitoring / operations blocks. Skip otherwise.\n\nIf stage 1 fails, you reject — code quality is moot if the spec isn't met. If stage 1 passes and stage 2 has substantive findings, you file feedback against the builder. If both pass and the unit has operational concerns, stage 3 fires.\n\n## Validate this unit's outputs against its criteria\n\nList this unit's declared outputs with `haiku_unit_get { intent, stage, unit, field: \"outputs\" }`, then confirm each one satisfies the unit's completion criteria. The outputs are what you validate; the unit's criteria are the bar. Stay scoped to this one unit — sibling units have their own verify passes.\n\n## Process\n\n### 1. Gather evidence\n\n- The unit body — completion criteria, planner's plan, builder's `As-built` notes.\n- The product stage's `ACCEPTANCE-CRITERIA.md` and matching `.feature` files.\n- The unit's diff vs. its stage branch: `git diff <stage-branch>...<unit-branch>`.\n- The full test output, fresh — don't trust the builder's \"tests pass\" claim. Re-run.\n- `git log` on the unit branch — see the RED → GREEN → REFACTOR commit shape.\n\n### 2. Stage 1 — spec compliance\n\nFor each AC item / `.feature` scenario this unit owns, apply chain-of-verification (CoVe):\n\n1. **Initial judgment**: does the diff appear to address this AC?\n2. **Verification questions**: which test exercises this AC? Does the test name reference the AC? Does the test actually assert the behavior, or does it assert something tangential? Is there a `.feature` step that's NOT covered?\n3. **Answer with evidence**: cite the test file:line and the assertion. Cite the production code line that the test exercises.\n4. **Revise**: if the evidence doesn't support the initial judgment, revise. A test that \"passes\" but asserts the wrong thing is not coverage.\n\nLook for TDD violations: implementation commits with NO preceding failing-test commit in the unit's history, or tests that pass on first run with no RED-state evidence. The builder's commit message convention names AC items — if commits are batched or unnamed, that's a yellow flag for the rest of the review.\n\nEvery `.feature` scenario this unit owns MUST have corresponding test coverage that passes — Cucumber step definitions OR equivalent tests in the project's framework. A `.feature` file that's not exercised is dead documentation.\n\n### 3. Stage 2 — code quality\n\nApply these lenses. Each finding goes into the verdict — not as a blocker unless it's substantive:\n\n- **Architectural fit** — does this code agree with the rest of the codebase? New patterns invented without reason? Existing helpers ignored when they'd fit?\n- **Readability** — can a developer who didn't write this code understand it on first read? Comments where intent is non-obvious, names that say what not how, no clever one-liners that need explanation.\n- **Testability** — could this code's tests be tightened? Mocks where real fixtures would have caught a real bug? Tests that depend on implementation details rather than behavior?\n- **Idiom consistency** — does new code match existing patterns? If the project uses Result-type errors, does the new code? If it uses dependency injection, does the new code?\n- **Dead code** — anything added that's not exercised by a test? Anything left in from a previous attempt?\n\nFor non-trivial units, delegate specialized lenses to review agents (correctness, security, performance, accessibility) via the studio's review-agents directory. Consolidate findings into one verdict.\n\n### 4. Stage 3 — operational readiness (conditional)\n\nOnly fires when the unit body has a `## Operations` / `## Deploy` / `## Monitoring` section, OR when the diff touches operational surfaces (config, infra, runbooks, alerts). Otherwise skip.\n\n- **Configuration completeness** — every new flag / env var documented in the appropriate place?\n- **Observability** — new code paths emit structured logs / metrics / traces consistent with project conventions?\n- **Rollback** — is there a rollback path? Migrations that aren't reversible flagged?\n- **Runbook** — if this code can page someone at 3am, is there a runbook entry?\n\n### 5. Issue verdict\n\nIf everything passes, call `haiku_unit_advance_hat` — the unit's hat sequence is complete. The cursor moves to review-track for the stage's review-agents (spec, code-reviewer, etc.).\n\nIf something blocks (spec compliance fails, substantive code-quality issue), file feedback against the builder via `haiku_feedback { target_unit: \"<this unit>\", target_invalidates: [\"builder\"], ... }` and call `haiku_unit_reject_hat` with the reason. The fix-loop reroutes.\n\nDo not block on low-confidence style issues. Style is for the linter; substantive concerns are for review.\n\n### Sibling-dependency gate failures — verify in isolation, defer integration (CRITICAL)\n\nYou run in this unit's **isolated worktree**, forked from the stage branch. A sibling unit's code is NOT present here until that sibling merges. So before you reject for a failing gate, **trace why it fails**:\n\n- **The failure is in this unit's own surface** — its logic, its own tests, its outputs — → reject the builder normally. This is the builder's job.\n- **The failure traces to a sibling's unmerged output** — a `ReferenceError` on a helper another unit owns, a missing table from another unit's schema, an import of a module another unit produces — → **do NOT reject the builder.** It cannot make a sibling's code appear, and rejecting burns the unit's whole bolt budget re-rejecting a condition no builder pass can fix. This is the exact loop that wedged unit-015 (2026-05-24): the reviewer re-ran the full integration suite *inside the isolated worktree*, where the dependency's schema was absent, and rejected for the absence.\n\nThe cross-unit integration gate is **not your job to enforce in isolation** — it runs at the stage's post-execute approval track, on the **merged** stage branch where the sibling IS present. A genuine integration failure surfaces there as a stage-scoped finding that drives the fix-loop; it does not belong in your per-unit reject loop. So:\n\n- Verify this unit's **own isolation-buildable surface** (its pure logic, the tests that can pass without siblings). If that's sound, `advance_hat`, and name in the baton which assertions you deferred to the merged branch and why.\n- If the unit reads a sibling's output but declares no `depends_on:` on it, or the completion gate is scoped wider than this unit can ever satisfy in isolation, file ONE stage-scoped finding via `haiku_feedback` (no `target_invalidates: [\"builder\"]` — it is not the builder's defect) naming the undeclared dependency or mis-scoped gate, then `advance_hat`. That routes the scheduling/decompose defect to where it gets fixed.\n- **Consistency across passes:** once a failure is classified sibling-dependent, it stays sibling-dependent. Never re-classify the same failure as a builder blocker on a later pass — that oscillation (one pass waves it as \"acceptable scope\", the next rejects for it) is what spends the bolt budget on the wrong problem and wedges the unit.\n\n## Anti-patterns (RFC 2119)\n\n- The agent **MUST NOT** approve without running verification commands fresh — claims (\"I tested it\") never substitute for evidence\n- The agent **MUST NOT** approve code that lacks tests for new functionality\n- The agent **MUST** flag obvious TDD violations — implementation commits with no preceding failing-test commit, or tests that pass on first run with no RED-state evidence\n- The agent **MUST NOT** expand scope beyond verification — fixes are the fix-loop's job, not the verifier's\n- The agent **MUST NOT** reject the builder for a gate failure that traces to a sibling's unmerged output — it is not a builder defect and no builder pass can fix it; verify this unit's own surface, advance, and let the merged-branch stage gate own the integration assertion\n",
+              "body": "**Focus:** Verify the implementation satisfies the completion criteria through multi-stage review. You are the **verify** role for development — the terminal hat in the unit's hat sequence. Your decision (`advance` vs `reject`) is what the workflow engine trusts. Verification is evidence-based, not claim-based.\n\nReview proceeds in three stages, each gating the next:\n\n1. **Spec compliance** — does the code do what the criteria say? Map every AC item / `.feature` scenario to its passing test.\n2. **Code quality** — is the code well-written? Architectural fit, readability, testability, idiom consistency with the project's existing code.\n3. **Operational readiness** — only when the unit has deployment / monitoring / operations blocks. Skip otherwise.\n\nIf stage 1 fails, you reject — code quality is moot if the spec isn't met. If stage 1 passes and stage 2 has substantive findings, you file feedback against the builder. If both pass and the unit has operational concerns, stage 3 fires.\n\n## Validate this unit's outputs against its criteria\n\nList this unit's declared outputs with `haiku_unit_get { intent, stage, unit, field: \"outputs\" }`, then confirm each one satisfies the unit's completion criteria. The outputs are what you validate; the unit's criteria are the bar. Stay scoped to this one unit — sibling units have their own verify passes.\n\n## Process\n\n### 1. Gather evidence\n\n- The unit body — completion criteria, planner's plan, builder's `As-built` notes.\n- The unit's declared upstream inputs the dispatch resolved for it — the spec it builds against (acceptance criteria, `.feature` files, data contracts) and any design artifacts, where this intent kept those stages. Read what's present; a dropped optional stage won't appear, so review against the spec that actually exists, not one this prose assumes.\n- The unit's diff vs. its stage branch: `git diff <stage-branch>...<unit-branch>`.\n- The full test output, fresh — don't trust the builder's \"tests pass\" claim. Re-run.\n- `git log` on the unit branch — see the RED → GREEN → REFACTOR commit shape.\n\n### 2. Stage 1 — spec compliance\n\nFor each AC item / `.feature` scenario this unit owns, apply chain-of-verification (CoVe):\n\n1. **Initial judgment**: does the diff appear to address this AC?\n2. **Verification questions**: which test exercises this AC? Does the test name reference the AC? Does the test actually assert the behavior, or does it assert something tangential? Is there a `.feature` step that's NOT covered?\n3. **Answer with evidence**: cite the test file:line and the assertion. Cite the production code line that the test exercises.\n4. **Revise**: if the evidence doesn't support the initial judgment, revise. A test that \"passes\" but asserts the wrong thing is not coverage.\n\nLook for TDD violations: implementation commits with NO preceding failing-test commit in the unit's history, or tests that pass on first run with no RED-state evidence. The builder's commit message convention names AC items — if commits are batched or unnamed, that's a yellow flag for the rest of the review.\n\nEvery `.feature` scenario this unit owns MUST have corresponding test coverage that passes — Cucumber step definitions OR equivalent tests in the project's framework. A `.feature` file that's not exercised is dead documentation.\n\n### 3. Stage 2 — code quality\n\nApply these lenses. Each finding goes into the verdict — not as a blocker unless it's substantive:\n\n- **Architectural fit** — does this code agree with the rest of the codebase? New patterns invented without reason? Existing helpers ignored when they'd fit?\n- **Readability** — can a developer who didn't write this code understand it on first read? Comments where intent is non-obvious, names that say what not how, no clever one-liners that need explanation.\n- **Testability** — could this code's tests be tightened? Mocks where real fixtures would have caught a real bug? Tests that depend on implementation details rather than behavior?\n- **Idiom consistency** — does new code match existing patterns? If the project uses Result-type errors, does the new code? If it uses dependency injection, does the new code?\n- **Dead code** — anything added that's not exercised by a test? Anything left in from a previous attempt?\n\nFor non-trivial units, delegate specialized lenses to review agents (correctness, security, performance, accessibility) via the studio's review-agents directory. Consolidate findings into one verdict.\n\n### 4. Stage 3 — operational readiness (conditional)\n\nOnly fires when the unit body has a `## Operations` / `## Deploy` / `## Monitoring` section, OR when the diff touches operational surfaces (config, infra, runbooks, alerts). Otherwise skip.\n\n- **Configuration completeness** — every new flag / env var documented in the appropriate place?\n- **Observability** — new code paths emit structured logs / metrics / traces consistent with project conventions?\n- **Rollback** — is there a rollback path? Migrations that aren't reversible flagged?\n- **Runbook** — if this code can page someone at 3am, is there a runbook entry?\n\n### 5. Issue verdict\n\nIf everything passes, call `haiku_unit_advance_hat` — the unit's hat sequence is complete. The cursor moves to review-track for the stage's review-agents (spec, code-reviewer, etc.).\n\nIf something blocks (spec compliance fails, substantive code-quality issue), file feedback against the builder via `haiku_feedback { target_unit: \"<this unit>\", target_invalidates: [\"builder\"], ... }` and call `haiku_unit_reject_hat` with the reason. The fix-loop reroutes.\n\nDo not block on low-confidence style issues. Style is for the linter; substantive concerns are for review.\n\n### Sibling-dependency gate failures — verify in isolation, defer integration (CRITICAL)\n\nYou run in this unit's **isolated worktree**, forked from the stage branch. A sibling unit's code is NOT present here until that sibling merges. So before you reject for a failing gate, **trace why it fails**:\n\n- **The failure is in this unit's own surface** — its logic, its own tests, its outputs — → reject the builder normally. This is the builder's job.\n- **The failure traces to a sibling's unmerged output** — a `ReferenceError` on a helper another unit owns, a missing table from another unit's schema, an import of a module another unit produces — → **do NOT reject the builder.** It cannot make a sibling's code appear, and rejecting burns the unit's whole bolt budget re-rejecting a condition no builder pass can fix. This is the exact loop that wedged unit-015 (2026-05-24): the reviewer re-ran the full integration suite *inside the isolated worktree*, where the dependency's schema was absent, and rejected for the absence.\n\nThe cross-unit integration gate is **not your job to enforce in isolation** — it runs at the stage's post-execute approval track, on the **merged** stage branch where the sibling IS present. A genuine integration failure surfaces there as a stage-scoped finding that drives the fix-loop; it does not belong in your per-unit reject loop. So:\n\n- Verify this unit's **own isolation-buildable surface** (its pure logic, the tests that can pass without siblings). If that's sound, `advance_hat`, and name in the baton which assertions you deferred to the merged branch and why.\n- If the unit reads a sibling's output but declares no `depends_on:` on it, or the completion gate is scoped wider than this unit can ever satisfy in isolation, file ONE stage-scoped finding via `haiku_feedback` (no `target_invalidates: [\"builder\"]` — it is not the builder's defect) naming the undeclared dependency or mis-scoped gate, then `advance_hat`. That routes the scheduling/decompose defect to where it gets fixed.\n- **Consistency across passes:** once a failure is classified sibling-dependent, it stays sibling-dependent. Never re-classify the same failure as a builder blocker on a later pass — that oscillation (one pass waves it as \"acceptable scope\", the next rejects for it) is what spends the bolt budget on the wrong problem and wedges the unit.\n\n## Anti-patterns (RFC 2119)\n\n- The agent **MUST NOT** approve without running verification commands fresh — claims (\"I tested it\") never substitute for evidence\n- The agent **MUST NOT** approve code that lacks tests for new functionality\n- The agent **MUST** flag obvious TDD violations — implementation commits with no preceding failing-test commit, or tests that pass on first run with no RED-state evidence\n- The agent **MUST NOT** expand scope beyond verification — fixes are the fix-loop's job, not the verifier's\n- The agent **MUST NOT** reject the builder for a gate failure that traces to a sibling's unmerged output — it is not a builder defect and no builder pass can fix it; verify this unit's own surface, advance, and let the merged-branch stage gate own the integration assertion\n",
               "path": "plugin/studios/software/stages/development/hats/reviewer.md"
             }
           },
@@ -12178,6 +12510,7 @@
           "frontmatter": {
             "name": "operations",
             "description": "Deployment, monitoring, and operational readiness",
+            "optional": true,
             "hats": [
               "ops-engineer",
               "sre",
@@ -12217,7 +12550,7 @@
               }
             ]
           },
-          "stageMd": "---\nname: operations\ndescription: Deployment, monitoring, and operational readiness\nhats: [ops-engineer, sre, verifier]\nfix_hats: [classifier, ops-engineer, feedback-assessor]\nreview: auto\nelaboration: autonomous\ninputs:\n  - stage: inception\n    discovery: discovery\n  - stage: product\n    discovery: behavioral-spec\n  - stage: development\n    output: code\n  - stage: development\n    discovery: architecture\nreview-agents-include:\n  - stage: development\n    agents: [security]\n---\n\n# Operations\n\nTake working code from development and make it run reliably in production: the runtime configuration, deployment path, observability, and on-call posture that turn a green test suite into a service people can depend on.\n\n## Scope\n\nOperational readiness — deployment shape, configuration, monitoring, alerting, and runbooks. Not feature work or behavior changes; the system's job was settled upstream, this stage makes it survivable.\n\n## What to do\n\n- Make every deployment rollback-able before it ships.\n- Cover the real failure modes with observability, and pair every alert with a runbook that says what to do.\n- Write runbooks concrete enough for someone with no prior context to follow under pressure.\n\n## What NOT to do\n\n- Don't add features or change behavior — that's a new intent, not an operations task.\n- Don't ship a deployment with no rollback path.\n- Don't define alerts no one can act on, and don't assume production behaves like your local machine.\n",
+          "stageMd": "---\nname: operations\ndescription: Deployment, monitoring, and operational readiness\noptional: true\nhats: [ops-engineer, sre, verifier]\nfix_hats: [classifier, ops-engineer, feedback-assessor]\nreview: auto\nelaboration: autonomous\ninputs:\n  - stage: inception\n    discovery: discovery\n  - stage: product\n    discovery: behavioral-spec\n  - stage: development\n    output: code\n  - stage: development\n    discovery: architecture\nreview-agents-include:\n  - stage: development\n    agents: [security]\n---\n\n# Operations\n\nTake working code from development and make it run reliably in production: the runtime configuration, deployment path, observability, and on-call posture that turn a green test suite into a service people can depend on.\n\n## Scope\n\nOperational readiness — deployment shape, configuration, monitoring, alerting, and runbooks. Not feature work or behavior changes; the system's job was settled upstream, this stage makes it survivable.\n\n## What to do\n\n- Make every deployment rollback-able before it ships.\n- Cover the real failure modes with observability, and pair every alert with a runbook that says what to do.\n- Write runbooks concrete enough for someone with no prior context to follow under pressure.\n\n## What NOT to do\n\n- Don't add features or change behavior — that's a new intent, not an operations task.\n- Don't ship a deployment with no rollback path.\n- Don't define alerts no one can act on, and don't assume production behaves like your local machine.\n",
           "stagePath": "plugin/studios/software/stages/operations/STAGE.md",
           "hats": {
             "ops-engineer": {
@@ -12302,6 +12635,7 @@
           "frontmatter": {
             "name": "security",
             "description": "Threat modeling, security review, and vulnerability assessment",
+            "optional": true,
             "hats": [
               "threat-modeler",
               "security-engineer",
@@ -12363,7 +12697,7 @@
               ]
             }
           },
-          "stageMd": "---\nname: security\ndescription: Threat modeling, security review, and vulnerability assessment\nhats: [threat-modeler, security-engineer, security-reviewer]\nfix_hats: [classifier, security-engineer, feedback-assessor]\nreview: [external, ask]\nelaboration: autonomous\ninputs:\n  - stage: inception\n    discovery: discovery\n  - stage: product\n    discovery: behavioral-spec\n  - stage: product\n    discovery: data-contracts\n  - stage: development\n    output: code\n  - stage: development\n    discovery: architecture\nreview-agents-include:\n  - stage: development\n    agents: [security, architecture]\n  - stage: operations\n    agents: [reliability]\ngate-protocol:\n  timeout: 72h\n  timeout-action: escalate\n  escalation: comms\n  conditions:\n    - \"no HIGH findings from review agents\"\n---\n\n# Security\n\nAdversarially evaluate whether the built system withstands realistic threats. This is the project's defensive backstop — it catches the class of bugs that pass functional review (the feature works as specified) but fail under abuse (the feature is used in ways the spec never modeled).\n\n## Scope\n\nAdversarial security evaluation of what was built: threat modeling, mitigations, and active attempts to defeat them. Units here are **attack surfaces**, not features. Not functional review, not new feature work.\n\n## What to do\n\n- Model the attack surfaces and trust boundaries, and enumerate threats against each.\n- Pair every identified threat with a specific, concrete mitigation — not a note that it exists.\n- Actually try to defeat the model: abuse-of-feature paths, side channels, supply-chain angles.\n- Route findings back to the stage that owns the fix (development, operations) as feedback.\n\n## What NOT to do\n\n- Don't re-grade whether the feature works as specified — functional review already covered that.\n- Don't accept a threat with no mitigation, or wave through \"the scanner found nothing\" as proof of safety.\n- Don't add features or change behavior.\n",
+          "stageMd": "---\nname: security\ndescription: Threat modeling, security review, and vulnerability assessment\noptional: true\nhats: [threat-modeler, security-engineer, security-reviewer]\nfix_hats: [classifier, security-engineer, feedback-assessor]\nreview: [external, ask]\nelaboration: autonomous\ninputs:\n  - stage: inception\n    discovery: discovery\n  - stage: product\n    discovery: behavioral-spec\n  - stage: product\n    discovery: data-contracts\n  - stage: development\n    output: code\n  - stage: development\n    discovery: architecture\nreview-agents-include:\n  - stage: development\n    agents: [security, architecture]\n  - stage: operations\n    agents: [reliability]\ngate-protocol:\n  timeout: 72h\n  timeout-action: escalate\n  escalation: comms\n  conditions:\n    - \"no HIGH findings from review agents\"\n---\n\n# Security\n\nAdversarially evaluate whether the built system withstands realistic threats. This is the project's defensive backstop — it catches the class of bugs that pass functional review (the feature works as specified) but fail under abuse (the feature is used in ways the spec never modeled).\n\n## Scope\n\nAdversarial security evaluation of what was built: threat modeling, mitigations, and active attempts to defeat them. Units here are **attack surfaces**, not features. Not functional review, not new feature work.\n\n## What to do\n\n- Model the attack surfaces and trust boundaries, and enumerate threats against each.\n- Pair every identified threat with a specific, concrete mitigation — not a note that it exists.\n- Actually try to defeat the model: abuse-of-feature paths, side channels, supply-chain angles.\n- Route findings back to the stage that owns the fix (development, operations) as feedback.\n\n## What NOT to do\n\n- Don't re-grade whether the feature works as specified — functional review already covered that.\n- Don't accept a threat with no mitigation, or wave through \"the scanner found nothing\" as proof of safety.\n- Don't add features or change behavior.\n",
           "stagePath": "plugin/studios/software/stages/security/STAGE.md",
           "hats": {
             "security-engineer": {
@@ -12502,6 +12836,18 @@
       ],
       "reflections": {},
       "operations": {},
+      "intentReviewAgents": {
+        "cross-stage-consistency": {
+          "content": "---\nmodel: opus\nscope: intent\ninterpretation: lens\n---\n**Mandate:** Verify the intent's artifacts are internally consistent across stages. You are the only reviewer that sees the whole intent at once — your job is to catch seams that per-stage reviewers miss.\n\n**Check:**\n- The agent **MUST** verify that each stage's outputs align with what upstream stages specified — no dropped requirements, no silent scope expansion\n- The agent **MUST** verify that naming is consistent across stages — a concept named one thing upstream should carry the same name downstream\n- The agent **MUST** verify that stages' declared outputs exist at the paths their unit frontmatter promised\n- The agent **MUST** verify that the stages collectively deliver the intent's stated goal (read `intent.md`) — partial delivery is a finding\n- The agent **MUST** verify that concerns raised by any stage's review were actually addressed (not silently ignored)\n\n**Anti-patterns (RFC 2119):**\n- The agent **MUST NOT** re-litigate decisions already approved at each stage's gate\n- The agent **MUST NOT** propose new features or scope additions\n- The agent **MUST NOT** flag stylistic preferences — concrete divergence only\n",
+          "frontmatter": {
+            "model": "opus",
+            "scope": "intent",
+            "interpretation": "lens"
+          },
+          "body": "**Mandate:** Verify the intent's artifacts are internally consistent across stages. You are the only reviewer that sees the whole intent at once — your job is to catch seams that per-stage reviewers miss.\n\n**Check:**\n- The agent **MUST** verify that each stage's outputs align with what upstream stages specified — no dropped requirements, no silent scope expansion\n- The agent **MUST** verify that naming is consistent across stages — a concept named one thing upstream should carry the same name downstream\n- The agent **MUST** verify that stages' declared outputs exist at the paths their unit frontmatter promised\n- The agent **MUST** verify that the stages collectively deliver the intent's stated goal (read `intent.md`) — partial delivery is a finding\n- The agent **MUST** verify that concerns raised by any stage's review were actually addressed (not silently ignored)\n\n**Anti-patterns (RFC 2119):**\n- The agent **MUST NOT** re-litigate decisions already approved at each stage's gate\n- The agent **MUST NOT** propose new features or scope additions\n- The agent **MUST NOT** flag stylistic preferences — concrete divergence only\n",
+          "path": "plugin/studios/training/intent-review-agents/cross-stage-consistency.md"
+        }
+      },
       "templates": {},
       "examples": {},
       "preIntents": {
@@ -12788,6 +13134,7 @@
           "frontmatter": {
             "name": "deliver",
             "description": "Facilitate training delivery and coordinate logistics",
+            "optional": true,
             "hats": [
               "facilitator",
               "coordinator",
@@ -12811,7 +13158,7 @@
               }
             ]
           },
-          "stageMd": "---\nname: deliver\ndescription: Facilitate training delivery and coordinate logistics\nhats: [facilitator, coordinator, verifier]\nfix_hats: [classifier, facilitator, feedback-assessor]\nreview: auto\nelaboration: autonomous\ninputs:\n  - stage: develop\n    output: training-materials\n  - stage: design\n    discovery: curriculum-plan\n---\n\n# Deliver\n\nThe operational stage of the training lifecycle: run the program. Facilitate sessions, manage logistics, distribute materials, track attendance and completion, and capture the in-session observations that feed evaluate. A unit is one delivery session — a cohort, a workshop, an asynchronous release.\n\n## Scope\n\nRunning the program and recording how it went: facilitation, scheduling, platform and access setup, material distribution, attendance and completion tracking, and real-time learner signals. Deliver decides *what happened when the program ran* — not what the materials are (develop) or whether the program worked (evaluate).\n\n## What to do\n\n- Prepare the run-of-show from the curriculum plan and facilitator guide, anticipating where this audience will get stuck.\n- Execute the logistics — setup, technical checks, access provisioning, attendance and completion records — with contingencies for the common failures.\n- Capture real-time learner signals and facilitator observations as the operational record evaluate will draw on.\n- Note content-improvement candidates as they surface, so the next iteration inherits them.\n\n## What NOT to do\n\n- Don't rewrite or re-author materials mid-delivery — content problems are feedback to develop.\n- Don't measure effectiveness or draw outcome conclusions; that's evaluate.\n- Don't let a logistics failure go unrecorded or unresolved during the session.\n- Don't close a session log missing attendance, completion, or the observations evaluate depends on.\n",
+          "stageMd": "---\nname: deliver\ndescription: Facilitate training delivery and coordinate logistics\noptional: true\nhats: [facilitator, coordinator, verifier]\nfix_hats: [classifier, facilitator, feedback-assessor]\nreview: auto\nelaboration: autonomous\ninputs:\n  - stage: develop\n    output: training-materials\n  - stage: design\n    discovery: curriculum-plan\n---\n\n# Deliver\n\nThe operational stage of the training lifecycle: run the program. Facilitate sessions, manage logistics, distribute materials, track attendance and completion, and capture the in-session observations that feed evaluate. A unit is one delivery session — a cohort, a workshop, an asynchronous release.\n\n## Scope\n\nRunning the program and recording how it went: facilitation, scheduling, platform and access setup, material distribution, attendance and completion tracking, and real-time learner signals. Deliver decides *what happened when the program ran* — not what the materials are (develop) or whether the program worked (evaluate).\n\n## What to do\n\n- Prepare the run-of-show from the curriculum plan and facilitator guide, anticipating where this audience will get stuck.\n- Execute the logistics — setup, technical checks, access provisioning, attendance and completion records — with contingencies for the common failures.\n- Capture real-time learner signals and facilitator observations as the operational record evaluate will draw on.\n- Note content-improvement candidates as they surface, so the next iteration inherits them.\n\n## What NOT to do\n\n- Don't rewrite or re-author materials mid-delivery — content problems are feedback to develop.\n- Don't measure effectiveness or draw outcome conclusions; that's evaluate.\n- Don't let a logistics failure go unrecorded or unresolved during the session.\n- Don't close a session log missing attendance, completion, or the observations evaluate depends on.\n",
           "stagePath": "plugin/studios/training/stages/deliver/STAGE.md",
           "hats": {
             "coordinator": {
@@ -12876,6 +13223,7 @@
           "frontmatter": {
             "name": "evaluate",
             "description": "Measure training effectiveness and analyze feedback",
+            "optional": true,
             "hats": [
               "evaluator",
               "analyst",
@@ -12903,7 +13251,7 @@
               }
             ]
           },
-          "stageMd": "---\nname: evaluate\ndescription: Measure training effectiveness and analyze feedback\nhats: [evaluator, analyst, verifier]\nfix_hats: [classifier, evaluator, feedback-assessor]\nreview: ask\nelaboration: autonomous\ninputs:\n  - stage: deliver\n    discovery: delivery-log\n  - stage: needs-analysis\n    discovery: needs-assessment\n  - stage: design\n    discovery: curriculum-plan\n---\n\n# Evaluate\n\nThe closing stage of the training lifecycle: measure whether the program actually moved the needle on the gap needs-analysis identified. Work across Kirkpatrick levels (reaction, learning, behavior, results), produce statistically defensible findings, and generate the improvement recommendations the next iteration consumes.\n\n## Scope\n\nEffectiveness measurement and analysis: choosing the right Kirkpatrick levels, designing instruments (pre/post assessments, surveys, observation rubrics, on-the-job measures), collecting and analyzing the data, and mapping outcomes back to the original gap. Evaluate decides *whether the program worked and what to change* — not how it ran (deliver) or what was built (develop).\n\n## What to do\n\n- Pick the Kirkpatrick levels that actually answer the outcome question, not just the easy-to-measure ones.\n- Design instruments and collect data rigorously enough that the findings are defensible.\n- Run the analysis honestly — significance, effect size, cohort comparison, confounders — and tie outcomes back to the needs-analysis gap.\n- Turn findings into prioritized recommendations the next iteration can act on.\n\n## What NOT to do\n\n- Don't fix materials or re-run delivery — improvements land as recommendations for the next iteration.\n- Don't claim causation the data doesn't support; a wrong causal claim distorts every downstream decision.\n- Don't measure reaction alone and call the program effective.\n- Don't ship findings without the evidence and analysis that back them.\n",
+          "stageMd": "---\nname: evaluate\ndescription: Measure training effectiveness and analyze feedback\noptional: true\nhats: [evaluator, analyst, verifier]\nfix_hats: [classifier, evaluator, feedback-assessor]\nreview: ask\nelaboration: autonomous\ninputs:\n  - stage: deliver\n    discovery: delivery-log\n  - stage: needs-analysis\n    discovery: needs-assessment\n  - stage: design\n    discovery: curriculum-plan\n---\n\n# Evaluate\n\nThe closing stage of the training lifecycle: measure whether the program actually moved the needle on the gap needs-analysis identified. Work across Kirkpatrick levels (reaction, learning, behavior, results), produce statistically defensible findings, and generate the improvement recommendations the next iteration consumes.\n\n## Scope\n\nEffectiveness measurement and analysis: choosing the right Kirkpatrick levels, designing instruments (pre/post assessments, surveys, observation rubrics, on-the-job measures), collecting and analyzing the data, and mapping outcomes back to the original gap. Evaluate decides *whether the program worked and what to change* — not how it ran (deliver) or what was built (develop).\n\n## What to do\n\n- Pick the Kirkpatrick levels that actually answer the outcome question, not just the easy-to-measure ones.\n- Design instruments and collect data rigorously enough that the findings are defensible.\n- Run the analysis honestly — significance, effect size, cohort comparison, confounders — and tie outcomes back to the needs-analysis gap.\n- Turn findings into prioritized recommendations the next iteration can act on.\n\n## What NOT to do\n\n- Don't fix materials or re-run delivery — improvements land as recommendations for the next iteration.\n- Don't claim causation the data doesn't support; a wrong causal claim distorts every downstream decision.\n- Don't measure reaction alone and call the program effective.\n- Don't ship findings without the evidence and analysis that back them.\n",
           "stagePath": "plugin/studios/training/stages/evaluate/STAGE.md",
           "hats": {
             "analyst": {
@@ -12992,6 +13340,18 @@
       ],
       "reflections": {},
       "operations": {},
+      "intentReviewAgents": {
+        "cross-stage-consistency": {
+          "content": "---\nmodel: opus\nscope: intent\ninterpretation: lens\n---\n**Mandate:** Verify the intent's artifacts are internally consistent across stages. You are the only reviewer that sees the whole intent at once — your job is to catch seams that per-stage reviewers miss.\n\n**Check:**\n- The agent **MUST** verify that each stage's outputs align with what upstream stages specified — no dropped requirements, no silent scope expansion\n- The agent **MUST** verify that naming is consistent across stages — a concept named one thing upstream should carry the same name downstream\n- The agent **MUST** verify that stages' declared outputs exist at the paths their unit frontmatter promised\n- The agent **MUST** verify that the stages collectively deliver the intent's stated goal (read `intent.md`) — partial delivery is a finding\n- The agent **MUST** verify that concerns raised by any stage's review were actually addressed (not silently ignored)\n\n**Anti-patterns (RFC 2119):**\n- The agent **MUST NOT** re-litigate decisions already approved at each stage's gate\n- The agent **MUST NOT** propose new features or scope additions\n- The agent **MUST NOT** flag stylistic preferences — concrete divergence only\n",
+          "frontmatter": {
+            "model": "opus",
+            "scope": "intent",
+            "interpretation": "lens"
+          },
+          "body": "**Mandate:** Verify the intent's artifacts are internally consistent across stages. You are the only reviewer that sees the whole intent at once — your job is to catch seams that per-stage reviewers miss.\n\n**Check:**\n- The agent **MUST** verify that each stage's outputs align with what upstream stages specified — no dropped requirements, no silent scope expansion\n- The agent **MUST** verify that naming is consistent across stages — a concept named one thing upstream should carry the same name downstream\n- The agent **MUST** verify that stages' declared outputs exist at the paths their unit frontmatter promised\n- The agent **MUST** verify that the stages collectively deliver the intent's stated goal (read `intent.md`) — partial delivery is a finding\n- The agent **MUST** verify that concerns raised by any stage's review were actually addressed (not silently ignored)\n\n**Anti-patterns (RFC 2119):**\n- The agent **MUST NOT** re-litigate decisions already approved at each stage's gate\n- The agent **MUST NOT** propose new features or scope additions\n- The agent **MUST NOT** flag stylistic preferences — concrete divergence only\n",
+          "path": "plugin/studios/vendor-management/intent-review-agents/cross-stage-consistency.md"
+        }
+      },
       "templates": {},
       "examples": {},
       "preIntents": {
@@ -13206,6 +13566,7 @@
           "frontmatter": {
             "name": "negotiate",
             "description": "Negotiate terms and review contract provisions",
+            "optional": true,
             "hats": [
               "negotiator",
               "legal-reviewer",
@@ -13229,7 +13590,7 @@
               }
             ]
           },
-          "stageMd": "---\nname: negotiate\ndescription: Negotiate terms and review contract provisions\nhats: [negotiator, legal-reviewer, verifier]\nfix_hats: [classifier, negotiator, feedback-assessor]\nreview: external\nelaboration: collaborative\ninputs:\n  - stage: evaluate\n    discovery: vendor-scorecard\n  - stage: requirements\n    discovery: rfp-document\n---\n\n# Negotiate\n\nConvert the selected vendor's evaluated position into agreed contractual terms — pricing, SLAs, exit provisions, data handling, liability, IP. The output is the master record of what the organization and the vendor agreed to; the downstream stages execute against it.\n\n## Scope\n\nTerm negotiation and risk review: settling commercial terms, defining SLAs with measurable thresholds, and reviewing the risk clauses (exit, IP, data, liability) for legal and commercial exposure. Negotiate decides *what both parties commit to* — not which vendor was chosen (evaluate) or standing the relationship up operationally (onboard).\n\n## What to do\n\n- Negotiate commercial terms and SLAs with measurable thresholds, not aspirational language no one can enforce.\n- Review risk clauses (exit, IP, data, liability) and categorize each by legal vs commercial exposure with recommended language.\n- Keep the terms document authoritative — onboard and monitor compare against exactly what's recorded here.\n- Surface non-standard terms for the right approval authority rather than absorbing them quietly.\n\n## What NOT to do\n\n- Don't re-score or re-shortlist vendors — a flawed selection is a revisit to evaluate.\n- Don't provision accounts or wire integrations; that's onboard.\n- Don't agree to an SLA without a measurable threshold behind it.\n- Don't leave a negotiated term out of the master record that downstream stages depend on.\n",
+          "stageMd": "---\nname: negotiate\ndescription: Negotiate terms and review contract provisions\noptional: true\nhats: [negotiator, legal-reviewer, verifier]\nfix_hats: [classifier, negotiator, feedback-assessor]\nreview: external\nelaboration: collaborative\ninputs:\n  - stage: evaluate\n    discovery: vendor-scorecard\n  - stage: requirements\n    discovery: rfp-document\n---\n\n# Negotiate\n\nConvert the selected vendor's evaluated position into agreed contractual terms — pricing, SLAs, exit provisions, data handling, liability, IP. The output is the master record of what the organization and the vendor agreed to; the downstream stages execute against it.\n\n## Scope\n\nTerm negotiation and risk review: settling commercial terms, defining SLAs with measurable thresholds, and reviewing the risk clauses (exit, IP, data, liability) for legal and commercial exposure. Negotiate decides *what both parties commit to* — not which vendor was chosen (evaluate) or standing the relationship up operationally (onboard).\n\n## What to do\n\n- Negotiate commercial terms and SLAs with measurable thresholds, not aspirational language no one can enforce.\n- Review risk clauses (exit, IP, data, liability) and categorize each by legal vs commercial exposure with recommended language.\n- Keep the terms document authoritative — onboard and monitor compare against exactly what's recorded here.\n- Surface non-standard terms for the right approval authority rather than absorbing them quietly.\n\n## What NOT to do\n\n- Don't re-score or re-shortlist vendors — a flawed selection is a revisit to evaluate.\n- Don't provision accounts or wire integrations; that's onboard.\n- Don't agree to an SLA without a measurable threshold behind it.\n- Don't leave a negotiated term out of the master record that downstream stages depend on.\n",
           "stagePath": "plugin/studios/vendor-management/stages/negotiate/STAGE.md",
           "hats": {
             "legal-reviewer": {
@@ -13296,6 +13657,7 @@
           "frontmatter": {
             "name": "onboard",
             "description": "Integrate vendor and complete setup",
+            "optional": true,
             "hats": [
               "integrator",
               "coordinator",
@@ -13315,7 +13677,7 @@
               }
             ]
           },
-          "stageMd": "---\nname: onboard\ndescription: Integrate vendor and complete setup\nhats: [integrator, coordinator, verifier]\nfix_hats: [classifier, integrator, feedback-assessor]\nreview: auto\nelaboration: autonomous\ninputs:\n  - stage: negotiate\n    discovery: negotiation-terms\n---\n\n# Onboard\n\nStand the vendor relationship up operationally: accounts provisioned, access granted, integrations wired, data flowing, users trained, escalation paths agreed. This is an operational stage — each unit is a concrete onboarding step with named preconditions, an action, and a verifiable post-condition.\n\n## Scope\n\nOperational activation of the agreed relationship: technical setup (accounts, access, integration, end-to-end testing) and organizational readiness (training, communication channels, named escalation contacts) against the negotiated terms. Onboard decides *that the vendor is operationally live* — not what the terms are (negotiate) or how the relationship performs over time (monitor).\n\n## What to do\n\n- Configure accounts, access, and integrations, then test end-to-end for both happy path and failure scenarios.\n- Document the integration architecture for the team that will maintain it after onboarding.\n- Track readiness across IT, business, and vendor workstreams so no workstream is silently incomplete.\n- Establish communication channels and escalation paths with named contacts before the relationship goes live.\n\n## What NOT to do\n\n- Don't reopen negotiated terms — a term that doesn't work operationally is feedback to negotiate.\n- Don't run ongoing SLA tracking or relationship reviews; that's monitor.\n- Don't mark an onboarding step done without its post-condition check passing.\n- Don't leave an escalation path or maintenance handoff undocumented.\n",
+          "stageMd": "---\nname: onboard\ndescription: Integrate vendor and complete setup\noptional: true\nhats: [integrator, coordinator, verifier]\nfix_hats: [classifier, integrator, feedback-assessor]\nreview: auto\nelaboration: autonomous\ninputs:\n  - stage: negotiate\n    discovery: negotiation-terms\n---\n\n# Onboard\n\nStand the vendor relationship up operationally: accounts provisioned, access granted, integrations wired, data flowing, users trained, escalation paths agreed. This is an operational stage — each unit is a concrete onboarding step with named preconditions, an action, and a verifiable post-condition.\n\n## Scope\n\nOperational activation of the agreed relationship: technical setup (accounts, access, integration, end-to-end testing) and organizational readiness (training, communication channels, named escalation contacts) against the negotiated terms. Onboard decides *that the vendor is operationally live* — not what the terms are (negotiate) or how the relationship performs over time (monitor).\n\n## What to do\n\n- Configure accounts, access, and integrations, then test end-to-end for both happy path and failure scenarios.\n- Document the integration architecture for the team that will maintain it after onboarding.\n- Track readiness across IT, business, and vendor workstreams so no workstream is silently incomplete.\n- Establish communication channels and escalation paths with named contacts before the relationship goes live.\n\n## What NOT to do\n\n- Don't reopen negotiated terms — a term that doesn't work operationally is feedback to negotiate.\n- Don't run ongoing SLA tracking or relationship reviews; that's monitor.\n- Don't mark an onboarding step done without its post-condition check passing.\n- Don't leave an escalation path or maintenance handoff undocumented.\n",
           "stagePath": "plugin/studios/vendor-management/stages/onboard/STAGE.md",
           "hats": {
             "coordinator": {
@@ -13380,6 +13742,7 @@
           "frontmatter": {
             "name": "monitor",
             "description": "Track vendor performance and SLA compliance",
+            "optional": true,
             "hats": [
               "monitor",
               "relationship-manager",
@@ -13403,7 +13766,7 @@
               }
             ]
           },
-          "stageMd": "---\nname: monitor\ndescription: Track vendor performance and SLA compliance\nhats: [monitor, relationship-manager, verifier]\nfix_hats: [classifier, monitor, feedback-assessor]\nreview: auto\nelaboration: autonomous\ninputs:\n  - stage: onboard\n    discovery: onboarding-checklist\n  - stage: negotiate\n    discovery: negotiation-terms\n---\n\n# Monitor\n\nTrack vendor performance against contractual SLAs and operational expectations over the life of the relationship. This is a recurring operational stage — each unit is a concrete monitoring observation or relationship review with preconditions, an action, and a verifiable post-condition.\n\n## Scope\n\nOngoing performance and relationship oversight: collecting and verifying SLA compliance data, calculating performance trends, identifying breaches and triggering contractual remedies, and assessing partnership health beyond the SLAs. Monitor decides *whether the live relationship is meeting its terms and intent* — it doesn't change those terms (negotiate) or stand the relationship up (onboard).\n\n## What to do\n\n- Collect and independently verify SLA compliance data for each contractual metric, not vendor-reported figures alone.\n- Calculate performance trends across measurement periods so a single bad month reads in context.\n- Identify breaches and trigger the contractual remedies the negotiated terms named.\n- Assess relationship health beyond compliance — strategic alignment, partnership signals, concerns surfaced before they become crises.\n\n## What NOT to do\n\n- Don't renegotiate or amend the contract — breach handling triggers the agreed remedy; new terms are a revisit to negotiate.\n- Don't redo onboarding setup; gaps there are feedback upstream.\n- Don't report SLA compliance on unverified vendor-supplied data.\n- Don't close a monitoring cycle without its post-condition check satisfied.\n",
+          "stageMd": "---\nname: monitor\ndescription: Track vendor performance and SLA compliance\noptional: true\nhats: [monitor, relationship-manager, verifier]\nfix_hats: [classifier, monitor, feedback-assessor]\nreview: auto\nelaboration: autonomous\ninputs:\n  - stage: onboard\n    discovery: onboarding-checklist\n  - stage: negotiate\n    discovery: negotiation-terms\n---\n\n# Monitor\n\nTrack vendor performance against contractual SLAs and operational expectations over the life of the relationship. This is a recurring operational stage — each unit is a concrete monitoring observation or relationship review with preconditions, an action, and a verifiable post-condition.\n\n## Scope\n\nOngoing performance and relationship oversight: collecting and verifying SLA compliance data, calculating performance trends, identifying breaches and triggering contractual remedies, and assessing partnership health beyond the SLAs. Monitor decides *whether the live relationship is meeting its terms and intent* — it doesn't change those terms (negotiate) or stand the relationship up (onboard).\n\n## What to do\n\n- Collect and independently verify SLA compliance data for each contractual metric, not vendor-reported figures alone.\n- Calculate performance trends across measurement periods so a single bad month reads in context.\n- Identify breaches and trigger the contractual remedies the negotiated terms named.\n- Assess relationship health beyond compliance — strategic alignment, partnership signals, concerns surfaced before they become crises.\n\n## What NOT to do\n\n- Don't renegotiate or amend the contract — breach handling triggers the agreed remedy; new terms are a revisit to negotiate.\n- Don't redo onboarding setup; gaps there are feedback upstream.\n- Don't report SLA compliance on unverified vendor-supplied data.\n- Don't close a monitoring cycle without its post-condition check satisfied.\n",
           "stagePath": "plugin/studios/vendor-management/stages/monitor/STAGE.md",
           "hats": {
             "monitor": {
@@ -13466,5 +13829,59 @@
         }
       }
     }
+  },
+  "engineReviewBodies": {
+    "review": {
+      "continuity": {
+        "body": "**Mandate:** Verify the PLANNED wiring is sound. Every output a unit promises to produce must have a consumer named somewhere — a downstream unit's `inputs:`, a stage manifest, an upstream reference. Pre-execute check — work has not landed; you are auditing the planned graph for orphan-output PLANS before code lands.\n\n**Check:**\n- Every output declared in this stage's unit `outputs:` frontmatter has at least one consumer declared somewhere: a same-stage unit's `inputs:`, a downstream stage's expected inputs, OR a stage-scope manifest that the unit body names\n- Every input declared in this stage's unit `inputs:` frontmatter resolves — either a same-stage unit's `outputs:` upstream in the DAG, or an upstream stage's outputs that already exist on disk\n- DAG sanity — `depends_on` graph has no cycles, no orphan branches, no unit that's unreachable from a stage entrypoint\n- Cross-stage references in unit bodies (e.g. `stages/<upstream>/outputs/foo.tsx`) name files that EXIST on disk (the upstream stage has merged) or are declared in an upstream unit's `outputs:` (the planned wiring is consistent)\n\n**Why pre-execute:** orphan-output PLANS are cheap to fix at the spec level (delete the unit or wire it). Orphan-output REALITIES at post-execute mean the unit shipped code with no consumers — recovery means writing integration code or calling `haiku_coverage_acknowledge`. Same `continuity` mandate fires again at post-execute `dispatch_approval` to verify the BUILT outputs are wired; this pre-execute pass catches the planning failure before it becomes a building failure.\n\n**How to file findings:**\n- Per-orphan-plan or per-broken-reference: `haiku_feedback({ stage: \"<this stage>\", origin: \"engine-review\", author: \"continuity\", severity: \"high\", source_ref: \"continuity-spec:<path>\", target_unit: <best guess or null>, target_invalidates: [\"continuity\"] })` (a broken planned reference is a concrete spec defect, so `high` — bump to `blocker` if building it as-is would yield a non-functional deliverable)\n- The fix is at the SPEC level (rewrite unit `outputs:` / `inputs:` / DAG), not the code level — there is no code yet.\n\n**Anti-patterns (RFC 2119):**\n- The agent **MUST NOT** propose deletion of planned outputs — the fix is wiring, not removal\n- The agent **MUST NOT** rewrite unit specs — file feedback, let the fix loop rewrite via the normal hat chain\n- The agent **MUST NOT** evaluate code (no code exists yet at pre-execute) — only audit specs\n- The agent **MUST NOT** flag stylistic concerns — concrete wiring failures only\n",
+        "path": "plugin/prompts/stage/review/dispatch_review/engine-bodies/continuity.eta.md"
+      },
+      "cross-stage-consistency": {
+        "body": "**Mandate:** Verify this stage's PLANNED unit specs align with the actual outputs produced by upstream stages (already merged into intent main). Pre-execute check — work for THIS stage has not landed; upstream work has. Catch the seams where the plan drifts from the upstream reality before code lands.\n\n**Check:**\n- Naming consistency — names this stage's unit specs use for upstream concepts (components, routes, decisions, data shapes) match the names the upstream stages actually shipped\n- Reference consistency — when this stage's units reference upstream outputs (in `inputs:` or body prose), the upstream outputs exist on disk with those names\n- No upstream-requirement contradictions — this stage's units don't propose to undo or contradict decisions sealed by upstream stages' approvals\n- Progress alignment — the cumulative story of upstream stages + this stage's planned work makes sense against `intent.md` (no missing intermediate steps, no leaps the upstream didn't enable)\n\n**Why pre-execute:** semantic drift between the spec and merged upstream work is much cheaper to catch in the planning phase. If this stage's plan calls a component `new-cart-flow` but upstream design shipped `checkout-v2`, fixing it now is renaming text in unit specs. Fixing it post-execute is renaming text across produced code. The same `cross-stage-consistency` mandate fires again at post-execute `dispatch_approval` to verify the BUILT work aligns; this pre-execute pass catches the planning drift.\n\n**Anti-patterns (RFC 2119):**\n- The agent **MUST NOT** re-litigate decisions already approved by upstream stages' gates\n- The agent **MUST NOT** propose new features or scope additions\n- The agent **MUST NOT** evaluate code (no code exists yet at pre-execute) — only audit unit specs against upstream merged work\n- The agent **MUST NOT** check file-graph wiring or orphan outputs — that is the separate `continuity` role's responsibility\n- The agent **MUST NOT** flag stylistic preferences — concrete divergence from upstream only\n",
+        "path": "plugin/prompts/stage/review/dispatch_review/engine-bodies/cross_stage_consistency.eta.md"
+      },
+      "spec": {
+        "body": "**Mandate:** Verify that this stage's unit SPECS conform to the spec the intent declared in `intent.md`. Pre-execute check — code has not landed yet; you are auditing the planned work.\n\n**Check:**\n- Every requirement scoped by `intent.md` that falls in this stage's responsibility is reflected in at least one unit's spec body or `outputs:` declaration\n- No silent scope expansion — units don't promise work that wasn't in the intent\n- No dropped requirements — every requirement the intent named for this stage has a unit addressing it\n- Declared unit outputs (in `outputs:` frontmatter) are consistent with what STAGE.md scopes for this stage\n\n**Why pre-execute:** catching a misaligned spec now is cheap (rewrite the spec). Catching it post-execute means the work has to be redone. The same `spec` mandate fires again at the post-execute `dispatch_approval` walk to verify the built work matches the spec — this pre-execute pass checks the spec itself.\n\n**Anti-patterns (RFC 2119):**\n- The agent **MUST NOT** propose new requirements — flag misses against the existing intent only\n- The agent **MUST NOT** edit unit specs — note divergence, file feedback, let the fix loop rewrite\n- The agent **MUST NOT** evaluate produced code (no code exists yet at pre-execute) — only audit specs\n- The agent **MUST NOT** flag stylistic preferences — concrete divergence from the intent only\n",
+        "path": "plugin/prompts/stage/review/dispatch_review/engine-bodies/spec.eta.md"
+      }
+    },
+    "approve": {
+      "continuity": {
+        "body": "**Mandate:** Verify the wiring is intact across all stages merged so far (this stage and upstream). Every output declared by a unit is consumed somewhere the stage graph requires it; every named asset that should render does render; no orphaned artifacts.\n\n**Check:**\n- Every produced output declared in this stage's unit frontmatter is referenced or consumed by a downstream artifact OR by another unit in this stage that the DAG promises will wire it up\n- Every named asset (component, route, function, decision record) that the spec says should render or be reachable actually does render or is reachable\n- No orphaned artifacts — files that exist but have zero references in the import graph or in the stage's output manifest\n- Cross-stage references resolve — a unit in this stage that names `stages/<upstream>/outputs/foo.tsx` actually finds that file\n\n**How to file findings:**\n- Per-orphan or per-broken-reference: `haiku_feedback({ stage: \"<this stage>\", origin: \"engine-review\", author: \"continuity\", severity: \"high\", source_ref: \"continuity:<path>\", target_unit: <best guess or null>, target_invalidates: [] })` (a broken reference is a concrete defect, so `high` — bump to `blocker` if it makes the deliverable non-functional)\n- If an orphan is intentionally unwired (e.g. reserved for future use), the fix-loop's response is `haiku_coverage_acknowledge` — do NOT propose deletion.\n\n**Anti-patterns (RFC 2119):**\n- The agent **MUST NOT** propose deletion of orphan files — the fix is integration or acknowledgment, never silent removal\n- The agent **MUST NOT** rewrite spec content — note the broken wiring, do not author new specs\n- The agent **MUST NOT** flag stylistic concerns — concrete wiring failures only\n",
+        "path": "plugin/prompts/stage/approve/dispatch_approval/engine-bodies/continuity.eta.md"
+      },
+      "cross-stage-consistency": {
+        "body": "**Mandate:** Verify the artifacts across all stages merged so far (this stage and upstream) are internally consistent. You are the only reviewer that sees the merged story at once — your job is to catch the seams per-stage reviewers miss.\n\n**Check:**\n- Each stage's outputs align with what upstream stages specified — no dropped requirements, no silent scope expansion\n- Naming is consistent across stages — a concept named one thing upstream carries the same name downstream\n- The stages merged so far make incremental progress toward the intent's stated goal (read `intent.md`) — partial delivery for finished stages is a finding\n- Concerns raised by any earlier stage's review were actually addressed downstream, not silently ignored\n\n**Anti-patterns (RFC 2119):**\n- The agent **MUST NOT** re-litigate decisions already approved at each stage's gate\n- The agent **MUST NOT** propose new features or scope additions\n- The agent **MUST NOT** flag stylistic preferences — concrete divergence only\n- The agent **MUST NOT** check file-graph wiring or orphan outputs — that is the separate `continuity` role's responsibility\n",
+        "path": "plugin/prompts/stage/approve/dispatch_approval/engine-bodies/cross_stage_consistency.eta.md"
+      },
+      "spec": {
+        "body": "**Mandate:** Verify that this stage's outputs conform to the spec the intent declared in `intent.md`.\n\n**Check:**\n- Every requirement scoped by `intent.md` that falls in this stage's responsibility is reflected in the stage's unit specs and execution outputs\n- No silent scope expansion — work that wasn't in the intent shouldn't be in this stage's artifacts\n- No dropped requirements — every requirement the intent named for this stage has an artifact that addresses it\n- Where the spec named a specific output (file, function, decision, deliverable), that output exists and matches the named shape\n\n**Anti-patterns (RFC 2119):**\n- The agent **MUST NOT** propose new requirements — flag misses against the existing spec only\n- The agent **MUST NOT** redesign the spec — note divergence, do not author corrections\n- The agent **MUST NOT** flag stylistic preferences — concrete divergence from the spec only\n",
+        "path": "plugin/prompts/stage/approve/dispatch_approval/engine-bodies/spec.eta.md"
+      }
+    },
+    "intent": {
+      "continuity": {
+        "body": "**Mandate:** Verify the wiring across the merged intent is intact. Every output declared by any stage's unit is consumed somewhere the stage graph requires it; every named asset that should render does render; no orphaned artifacts.\n\n**Check:**\n- Every produced output declared in any stage's unit frontmatter is referenced or consumed where the stage graph requires it\n- Every named asset (component, route, function, decision record) that the spec says should render or be reachable actually does render or is reachable across the merged intent\n- No orphaned artifacts — files that exist but have zero references in the import graph or in any stage's output manifest\n- Cross-stage references resolve — a unit in stage B that names `stages/A/outputs/foo.tsx` actually finds that file\n\n**How to file findings:**\n- Per-orphan or per-broken-reference: `haiku_feedback({ intent: \"<slug>\", origin: \"engine-review\", author: \"continuity\", severity: \"high\", source_ref: \"continuity:<path>\", target_unit: <best guess or null>, target_invalidates: [] })` (intent scope — omit `stage`; a broken reference is a concrete defect, so `high` — bump to `blocker` if it makes the deliverable non-functional)\n- If an orphan is intentionally unwired (e.g. reserved for future use), the fix-loop's response is `haiku_coverage_acknowledge` — do NOT propose deletion.\n\n**Anti-patterns (RFC 2119):**\n- The agent **MUST NOT** propose deletion of orphan files — the fix is integration or acknowledgment, never silent removal\n- The agent **MUST NOT** rewrite spec content — note the broken wiring, do not author new specs\n- The agent **MUST NOT** flag stylistic concerns — concrete wiring failures only\n",
+        "path": "plugin/prompts/intent/review/intent_review/engine-bodies/continuity.eta.md"
+      },
+      "cross-stage-consistency": {
+        "body": "**Mandate:** Verify the artifacts across every stage are internally consistent. You are the only reviewer that sees the whole intent at once — your job is to catch the seams per-stage reviewers miss.\n\n**Check:**\n- Each stage's outputs align with what upstream stages specified — no dropped requirements, no silent scope expansion\n- Naming is consistent across stages — a concept named one thing upstream carries the same name downstream\n- The stages collectively deliver the intent's stated goal (read `intent.md`) — partial delivery is a finding\n- Concerns raised by any stage's review were actually addressed downstream, not silently ignored\n\n**Anti-patterns (RFC 2119):**\n- The agent **MUST NOT** re-litigate decisions already approved at each stage's gate\n- The agent **MUST NOT** propose new features or scope additions\n- The agent **MUST NOT** flag stylistic preferences — concrete divergence only\n- The agent **MUST NOT** check file-graph wiring or orphan outputs — that is the separate `continuity` role's responsibility\n",
+        "path": "plugin/prompts/intent/review/intent_review/engine-bodies/cross_stage_consistency.eta.md"
+      },
+      "spec": {
+        "body": "**Mandate:** Verify that the merged intent's outputs conform to the spec the intent declared in `intent.md`.\n\n**Check:**\n- Every requirement scoped by `intent.md` is reflected in the merged stage outputs\n- No silent scope expansion — work that wasn't in the intent shouldn't be in the artifacts\n- No dropped requirements — every requirement the intent named has an artifact that addresses it\n- Where the spec named a specific output (file, function, decision, deliverable), that output exists and matches the named shape\n\n**Anti-patterns (RFC 2119):**\n- The agent **MUST NOT** propose new requirements — flag misses against the existing spec only\n- The agent **MUST NOT** redesign the spec — note divergence, do not author corrections\n- The agent **MUST NOT** flag stylistic preferences — concrete divergence from the spec only\n",
+        "path": "plugin/prompts/intent/review/intent_review/engine-bodies/spec.eta.md"
+      }
+    }
+  },
+  "globalIntentReviewAgents": {
+    "delivery-verifier": {
+      "content": "---\ninterpretation: lens\n---\n**Mandate:** The agent **MUST** confirm the intent is actually *deliverable* before it closes — that the team's own CI gate is green on the delivery PR, and that every human who reviewed the PR has had their concerns addressed. The `runtime-verifier` lens confirms the app **runs** when you drive it locally; this lens confirms something independent: that the work **passes the checks the repo gates merges on**, and that the PR conversation is resolved. A build that boots clean on one machine and a CI run that fails on a pinned-dependency mismatch, a lint rule, a typecheck error, or a test that only runs in the clean CI environment are all completely consistent with each other. \"It works on my machine\" is not \"CI is green.\" Both gates must hold.\n\nThis lens's subject is the **delivery PR on the remote**, not the local artifacts. When you have provider access — an authenticated VCS CLI (`gh` for GitHub, `glab` for GitLab) or a configured provider — you read its checks and its review conversation, reply to and resolve review threads, and file findings for anything that isn't green or isn't addressed; the studio fix-hat loop lands the code, and you re-audit until the PR is clean. You cannot assume that access exists: there may be no remote, no CLI, or a CLI that isn't authenticated. The rule that survives every one of those cases is the same — **you never sign off on a delivery you couldn't actually verify.** A check you couldn't run is not a check that passed.\n\n## Resolve the delivery PR — and what you can prove without a provider\n\nWork the cheapest, most reliable signal first, because it needs no provider at all:\n\n- **Is the work already merged?** Ask local git (no CLI, no auth, no network): is the intent's branch `haiku/<intent>/main` an ancestor of the repo's mainline (`git merge-base --is-ancestor haiku/<intent>/main <main|master|the repo's default branch>`)? **If it's merged, that IS your proof.** A host only lets a PR merge once its branch protection is satisfied — CI green, required reviews approved. The merge is the host's own gate firing; you don't need to re-read CI to trust it. Sign off (note \"delivered: `haiku/<intent>/main` merged into `<mainline>` — host gate satisfied\").\n\nIf it's NOT merged, you need to verify the open PR — and that's where provider access decides your path:\n\n- **No git remote at all** (`git remote -v` is empty) → there is genuinely nothing to gate on. Terminate clean: \"no remote — CI verification not applicable.\" This is a SKIP.\n- **A remote exists and you HAVE provider access** → resolve the delivery PR (`external_refs.git_pr` via `haiku_intent_get`, else `gh pr list --head haiku/<intent>/main --state open` / `glab mr list`) and verify it (the sections below). **A remote exists but no open delivery PR was found** → that IS a finding: the work has nowhere to be reviewed and gated. File it and stop.\n- **A remote exists but you have NO provider access** (no CLI, or it isn't authenticated) and the branch is NOT merged → you are **blind to a gate that exists**, and that is NOT a SKIP. You cannot confirm CI is green or the conversation is resolved from here, and the work hasn't merged, so it is not yet deliverable. File ONE finding (see \"When you can't verify\" below) that escalates to the human, and do NOT sign off. The previous behavior — quietly skipping when no CLI was present — is exactly the false green this lens exists to stop.\n\n## Check CI is green\n\n- Wait for checks to finish, then read their conclusions: `gh pr checks <pr> --watch` (GitHub) blocks until every check completes. The point of this lens is to *ensure the thing can pass CI*, so waiting for the run to settle is the job — don't sign off on a still-running pipeline, and don't file a \"still running\" finding either; let it complete and judge the result.\n- **All checks success / neutral / skipped** → CI is clear of failures. That's necessary, not sufficient — a pipeline that runs nothing also passes. Green is half the question; the other half is the next section.\n- **Any check failed, cancelled, or timed out** → open ONE `haiku_feedback` per distinct failure. Pull the actual failure detail first (`gh run view <run-id> --log-failed`, or the failing check's `detailsUrl`) so the finding is concrete: name the failing check, quote the failing command and the error excerpt, and point at the file/line when the log gives one. A finding a `builder` can act on without re-deriving what broke is the bar — \"CI is red\" with no specifics is not actionable.\n- **The PR must actually be mergeable, not just green.** Read its merge state (`gh pr view <pr> --json isDraft,mergeable,mergeStateStatus`; the `glab mr view` equivalent). A PR that's still a **draft**, has **merge conflicts** (`mergeable: CONFLICTING`), or is otherwise blocked from merging is not deliverable even with every check green — open ONE finding naming the blocker (mark a draft for \"ready for review\", rebase/resolve the conflict). Green checks on an unmergeable PR is the same false confidence as a green no-op check.\n\n## Check CI is meaningful, not just green\n\nA green checkmark on a pipeline that doesn't run anything is worse than no pipeline — it manufactures false confidence that nobody re-checks. Green answers \"did the checks that ran pass?\" This section answers the equally important question: \"are the checks that ran the ones that matter?\"\n\n- **The intent's own quality gates are the reference set.** Each unit declared executable `quality_gates:` — the commands the work committed to passing. Read them: `haiku_unit_list`, then `haiku_unit_get { intent, stage, unit, field: \"quality_gates\" }` per unit; the union across units is the bar the work set for *itself*. Those gates are exactly the checks that must have a home on the remote. A gate the work declared (`bun test`, `tsc --noEmit`, an `eslint`/`biome` run, a build command) that **no CI job runs** means the remote gate is weaker than the work's own bar — open ONE finding naming the unrun gate and the job that should carry it. The fix-hat loop wires it in.\n- **Read what the jobs actually do, not just their names.** Pull the pipeline config (`.github/workflows/*.yml`, `.gitlab-ci.yml`) and the run logs (`gh run view <run-id> --log`). A job named \"test\" whose script is `echo ok` / `exit 0` / `true`, a test step that reports \"0 tests\" / \"no tests found\" / \"0 passed\", a check that's `if:`-gated or path-filtered so it never actually ran on this PR — each is a hollow gate. File a finding: the check exists but enforces nothing.\n- **No CI at all, but the work declared executable quality gates** → that IS a finding, not a skip. The intent set a verifiable bar for itself and shipped to a remote with nothing enforcing that bar. The fix-hat loop adds the pipeline that runs those gates.\n- **Legitimately nothing to enforce** → only when the intent declares NO executable quality gates (a docs / research / non-code deliverable with no commands to run) is \"no CI\" a real SKIP. State that plainly and don't invent a check the work never asked for.\n\n## Address the PR conversation\n\n- Read the review threads on the PR (`gh pr view <pr> --json reviews,comments`, and the per-thread review comments via `gh api repos/{owner}/{repo}/pulls/<n>/comments`). A GitLab PR uses the `glab` discussion equivalents.\n- For each **unresolved, actionable** review comment, open ONE `haiku_feedback` capturing it: quote the reviewer's comment, name the file and line it sits on, and link the thread. Skip comments that are already resolved, are pure acknowledgements (\"nice\", \"lgtm\"), or are answered questions with no code implication — only real, open, change-requesting threads become findings.\n- For each thread whose concern is **already satisfied in the PR's current commits** (because a previous pass's finding was fixed by the fix-hat loop), **reply on the thread** noting it's addressed and pointing at the commit that did it (`addressed in <sha>`), then **resolve the thread**. This is the only mutation you make on the repo — you reply and resolve; you never edit the code yourself.\n\n## When you can't verify (blind, but a PR exists)\n\nIf there's a git remote, the work isn't merged, and you have no way to reach the provider — no `gh`/`glab`, or it isn't authenticated, or no provider is configured — you cannot see CI or the conversation, and you must **not** treat that like the no-remote SKIP. A gate exists; you're just blind to it. Do this:\n\n- File ONE `haiku_feedback` (intent scope) titled e.g. *\"Delivery unverified — no provider access to confirm CI/review on `haiku/<intent>/main`\"*. State plainly what you couldn't check and what the human needs to do: **confirm CI is green and the review conversation is resolved on the delivery PR, then merge it** — once it merges you'll detect that on the next pass (local git) and sign off — **or** make a provider CLI available/authenticated so you can verify directly.\n- Set `severity: medium`. This holds your sign-off (the engine won't stamp `delivery-verifier` while the finding is open) **without** spinning the studio fix-hat loop — there is no code defect to fix, and a fixer can't install or authenticate a CLI. It's a hold for the human, not work for a hat.\n- Do NOT sign off, and do NOT re-file the same finding on later passes — if it's already open from a prior tick (check the existing-feedback list), just terminate noting it's still awaiting the human. When the human merges or grants access, your next run resolves the real way (merge proof, or live CI verification).\n\n## Sign-off rule\n\nTerminate clean — which the engine reads as your approval — **only** when one of these is true:\n\n1. **The branch is merged** into mainline (the host's own gate already fired — see \"Resolve the delivery PR\"); or\n2. **You verified the open PR and it's fully clean**: CI is green (no failing checks), CI is **meaningful** (the intent's quality gates are actually run by the pipeline and no green check is a no-op), the PR is **mergeable** (not draft, no conflicts), **and** no unresolved, actionable review thread remains; or\n3. **There's genuinely nothing to gate** — no git remote, or a non-code deliverable with no executable quality gates.\n\nAnything else — a failing/hollow/missing check, an unmergeable PR, an open actionable comment, OR a live PR you couldn't verify because you're blind — means you file findings (or the blind-case hold) instead of signing off. A check you couldn't run is not a check that passed; do not sign off to get unstuck. The fix-hat loop lands the code corrections, the human resolves the blind case, and you run again and re-judge against the new state. Keep doing that until the delivery is genuinely clean — that, and only that, is a delivered intent.\n\n## Common failure modes to look for\n\n- The app boots locally and `runtime-verifier` signed off, but CI fails on something local boot never exercised — a typecheck error behind a path the dev server lazy-loads, a lint rule, a test that only runs in CI, a dependency that resolves locally but isn't pinned in the lockfile.\n- A flaky check that failed on an unrelated infra blip — re-read it after a re-run before filing; a genuinely flaky check is itself worth a finding, but don't file a phantom code bug for an infra timeout.\n- Review comments that were \"addressed\" in conversation but never in code — the thread reads resolved socially but the requested change never landed. Verify against the actual diff, not the reply text.\n- A pipeline that's green only because it tests the wrong thing — the unit declared `bun test` as its gate, but the only CI job runs a lint that never imports the new module. Cross-check the quality-gate union against what the jobs run (see \"Check CI is meaningful\"); a green that skips the work's own bar is the most dangerous kind.\n- The PR is mergeable and CI is green, but a requested change from a human reviewer is still open — green CI is necessary, not sufficient; the conversation has to be resolved too.\n",
+      "frontmatter": {
+        "interpretation": "lens"
+      },
+      "body": "**Mandate:** The agent **MUST** confirm the intent is actually *deliverable* before it closes — that the team's own CI gate is green on the delivery PR, and that every human who reviewed the PR has had their concerns addressed. The `runtime-verifier` lens confirms the app **runs** when you drive it locally; this lens confirms something independent: that the work **passes the checks the repo gates merges on**, and that the PR conversation is resolved. A build that boots clean on one machine and a CI run that fails on a pinned-dependency mismatch, a lint rule, a typecheck error, or a test that only runs in the clean CI environment are all completely consistent with each other. \"It works on my machine\" is not \"CI is green.\" Both gates must hold.\n\nThis lens's subject is the **delivery PR on the remote**, not the local artifacts. When you have provider access — an authenticated VCS CLI (`gh` for GitHub, `glab` for GitLab) or a configured provider — you read its checks and its review conversation, reply to and resolve review threads, and file findings for anything that isn't green or isn't addressed; the studio fix-hat loop lands the code, and you re-audit until the PR is clean. You cannot assume that access exists: there may be no remote, no CLI, or a CLI that isn't authenticated. The rule that survives every one of those cases is the same — **you never sign off on a delivery you couldn't actually verify.** A check you couldn't run is not a check that passed.\n\n## Resolve the delivery PR — and what you can prove without a provider\n\nWork the cheapest, most reliable signal first, because it needs no provider at all:\n\n- **Is the work already merged?** Ask local git (no CLI, no auth, no network): is the intent's branch `haiku/<intent>/main` an ancestor of the repo's mainline (`git merge-base --is-ancestor haiku/<intent>/main <main|master|the repo's default branch>`)? **If it's merged, that IS your proof.** A host only lets a PR merge once its branch protection is satisfied — CI green, required reviews approved. The merge is the host's own gate firing; you don't need to re-read CI to trust it. Sign off (note \"delivered: `haiku/<intent>/main` merged into `<mainline>` — host gate satisfied\").\n\nIf it's NOT merged, you need to verify the open PR — and that's where provider access decides your path:\n\n- **No git remote at all** (`git remote -v` is empty) → there is genuinely nothing to gate on. Terminate clean: \"no remote — CI verification not applicable.\" This is a SKIP.\n- **A remote exists and you HAVE provider access** → resolve the delivery PR (`external_refs.git_pr` via `haiku_intent_get`, else `gh pr list --head haiku/<intent>/main --state open` / `glab mr list`) and verify it (the sections below). **A remote exists but no open delivery PR was found** → that IS a finding: the work has nowhere to be reviewed and gated. File it and stop.\n- **A remote exists but you have NO provider access** (no CLI, or it isn't authenticated) and the branch is NOT merged → you are **blind to a gate that exists**, and that is NOT a SKIP. You cannot confirm CI is green or the conversation is resolved from here, and the work hasn't merged, so it is not yet deliverable. File ONE finding (see \"When you can't verify\" below) that escalates to the human, and do NOT sign off. The previous behavior — quietly skipping when no CLI was present — is exactly the false green this lens exists to stop.\n\n## Check CI is green\n\n- Wait for checks to finish, then read their conclusions: `gh pr checks <pr> --watch` (GitHub) blocks until every check completes. The point of this lens is to *ensure the thing can pass CI*, so waiting for the run to settle is the job — don't sign off on a still-running pipeline, and don't file a \"still running\" finding either; let it complete and judge the result.\n- **All checks success / neutral / skipped** → CI is clear of failures. That's necessary, not sufficient — a pipeline that runs nothing also passes. Green is half the question; the other half is the next section.\n- **Any check failed, cancelled, or timed out** → open ONE `haiku_feedback` per distinct failure. Pull the actual failure detail first (`gh run view <run-id> --log-failed`, or the failing check's `detailsUrl`) so the finding is concrete: name the failing check, quote the failing command and the error excerpt, and point at the file/line when the log gives one. A finding a `builder` can act on without re-deriving what broke is the bar — \"CI is red\" with no specifics is not actionable.\n- **The PR must actually be mergeable, not just green.** Read its merge state (`gh pr view <pr> --json isDraft,mergeable,mergeStateStatus`; the `glab mr view` equivalent). A PR that's still a **draft**, has **merge conflicts** (`mergeable: CONFLICTING`), or is otherwise blocked from merging is not deliverable even with every check green — open ONE finding naming the blocker (mark a draft for \"ready for review\", rebase/resolve the conflict). Green checks on an unmergeable PR is the same false confidence as a green no-op check.\n\n## Check CI is meaningful, not just green\n\nA green checkmark on a pipeline that doesn't run anything is worse than no pipeline — it manufactures false confidence that nobody re-checks. Green answers \"did the checks that ran pass?\" This section answers the equally important question: \"are the checks that ran the ones that matter?\"\n\n- **The intent's own quality gates are the reference set.** Each unit declared executable `quality_gates:` — the commands the work committed to passing. Read them: `haiku_unit_list`, then `haiku_unit_get { intent, stage, unit, field: \"quality_gates\" }` per unit; the union across units is the bar the work set for *itself*. Those gates are exactly the checks that must have a home on the remote. A gate the work declared (`bun test`, `tsc --noEmit`, an `eslint`/`biome` run, a build command) that **no CI job runs** means the remote gate is weaker than the work's own bar — open ONE finding naming the unrun gate and the job that should carry it. The fix-hat loop wires it in.\n- **Read what the jobs actually do, not just their names.** Pull the pipeline config (`.github/workflows/*.yml`, `.gitlab-ci.yml`) and the run logs (`gh run view <run-id> --log`). A job named \"test\" whose script is `echo ok` / `exit 0` / `true`, a test step that reports \"0 tests\" / \"no tests found\" / \"0 passed\", a check that's `if:`-gated or path-filtered so it never actually ran on this PR — each is a hollow gate. File a finding: the check exists but enforces nothing.\n- **No CI at all, but the work declared executable quality gates** → that IS a finding, not a skip. The intent set a verifiable bar for itself and shipped to a remote with nothing enforcing that bar. The fix-hat loop adds the pipeline that runs those gates.\n- **Legitimately nothing to enforce** → only when the intent declares NO executable quality gates (a docs / research / non-code deliverable with no commands to run) is \"no CI\" a real SKIP. State that plainly and don't invent a check the work never asked for.\n\n## Address the PR conversation\n\n- Read the review threads on the PR (`gh pr view <pr> --json reviews,comments`, and the per-thread review comments via `gh api repos/{owner}/{repo}/pulls/<n>/comments`). A GitLab PR uses the `glab` discussion equivalents.\n- For each **unresolved, actionable** review comment, open ONE `haiku_feedback` capturing it: quote the reviewer's comment, name the file and line it sits on, and link the thread. Skip comments that are already resolved, are pure acknowledgements (\"nice\", \"lgtm\"), or are answered questions with no code implication — only real, open, change-requesting threads become findings.\n- For each thread whose concern is **already satisfied in the PR's current commits** (because a previous pass's finding was fixed by the fix-hat loop), **reply on the thread** noting it's addressed and pointing at the commit that did it (`addressed in <sha>`), then **resolve the thread**. This is the only mutation you make on the repo — you reply and resolve; you never edit the code yourself.\n\n## When you can't verify (blind, but a PR exists)\n\nIf there's a git remote, the work isn't merged, and you have no way to reach the provider — no `gh`/`glab`, or it isn't authenticated, or no provider is configured — you cannot see CI or the conversation, and you must **not** treat that like the no-remote SKIP. A gate exists; you're just blind to it. Do this:\n\n- File ONE `haiku_feedback` (intent scope) titled e.g. *\"Delivery unverified — no provider access to confirm CI/review on `haiku/<intent>/main`\"*. State plainly what you couldn't check and what the human needs to do: **confirm CI is green and the review conversation is resolved on the delivery PR, then merge it** — once it merges you'll detect that on the next pass (local git) and sign off — **or** make a provider CLI available/authenticated so you can verify directly.\n- Set `severity: medium`. This holds your sign-off (the engine won't stamp `delivery-verifier` while the finding is open) **without** spinning the studio fix-hat loop — there is no code defect to fix, and a fixer can't install or authenticate a CLI. It's a hold for the human, not work for a hat.\n- Do NOT sign off, and do NOT re-file the same finding on later passes — if it's already open from a prior tick (check the existing-feedback list), just terminate noting it's still awaiting the human. When the human merges or grants access, your next run resolves the real way (merge proof, or live CI verification).\n\n## Sign-off rule\n\nTerminate clean — which the engine reads as your approval — **only** when one of these is true:\n\n1. **The branch is merged** into mainline (the host's own gate already fired — see \"Resolve the delivery PR\"); or\n2. **You verified the open PR and it's fully clean**: CI is green (no failing checks), CI is **meaningful** (the intent's quality gates are actually run by the pipeline and no green check is a no-op), the PR is **mergeable** (not draft, no conflicts), **and** no unresolved, actionable review thread remains; or\n3. **There's genuinely nothing to gate** — no git remote, or a non-code deliverable with no executable quality gates.\n\nAnything else — a failing/hollow/missing check, an unmergeable PR, an open actionable comment, OR a live PR you couldn't verify because you're blind — means you file findings (or the blind-case hold) instead of signing off. A check you couldn't run is not a check that passed; do not sign off to get unstuck. The fix-hat loop lands the code corrections, the human resolves the blind case, and you run again and re-judge against the new state. Keep doing that until the delivery is genuinely clean — that, and only that, is a delivered intent.\n\n## Common failure modes to look for\n\n- The app boots locally and `runtime-verifier` signed off, but CI fails on something local boot never exercised — a typecheck error behind a path the dev server lazy-loads, a lint rule, a test that only runs in CI, a dependency that resolves locally but isn't pinned in the lockfile.\n- A flaky check that failed on an unrelated infra blip — re-read it after a re-run before filing; a genuinely flaky check is itself worth a finding, but don't file a phantom code bug for an infra timeout.\n- Review comments that were \"addressed\" in conversation but never in code — the thread reads resolved socially but the requested change never landed. Verify against the actual diff, not the reply text.\n- A pipeline that's green only because it tests the wrong thing — the unit declared `bun test` as its gate, but the only CI job runs a lint that never imports the new module. Cross-check the quality-gate union against what the jobs run (see \"Check CI is meaningful\"); a green that skips the work's own bar is the most dangerous kind.\n- The PR is mergeable and CI is green, but a requested change from a human reviewer is still open — green CI is necessary, not sufficient; the conversation has to be resolved too.\n",
+      "path": "plugin/intent-review-agents/delivery-verifier.md"
+    }
   }
 }
\ No newline at end of file