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https://github.com/ruvnet/RuVector.git
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26a961d45b
Minimal iOS App Clip template that bridges into the RVF C FFI to decode QR cognitive seeds. Includes SPM package config linking librvf_runtime.a, a C header mirroring ffi.rs exports (rvqs_parse_header, rvqs_verify_signature, rvqs_verify_content_hash, rvqs_decompress_microkernel, rvqs_get_primary_host_url), a Swift SeedDecoder wrapper with proper memory management, and a SwiftUI view with QR scanner placeholder and decoded seed info display. https://claude.ai/code/session_01RnwD4x5cbpB7FPvoyYQz8G
42 lines
1.2 KiB
Swift
42 lines
1.2 KiB
Swift
// swift-tools-version: 5.9
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// Package.swift — SPM manifest for the RVF App Clip skeleton.
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//
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// This package links the pre-built RVF static library (librvf_runtime.a)
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// produced by:
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// cargo build --release --target aarch64-apple-ios --lib
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//
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// Place the compiled .a file under lib/ before building with Xcode.
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import PackageDescription
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let package = Package(
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name: "RVFAppClip",
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platforms: [
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.iOS(.v16),
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],
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products: [
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.library(
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name: "AppClip",
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targets: ["AppClip"]
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),
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],
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targets: [
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// C bridge module that exposes the RVF FFI header to Swift.
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.target(
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name: "RVFBridge",
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path: "Sources/RVFBridge",
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publicHeadersPath: ".",
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linkerSettings: [
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// Link the pre-built Rust static library.
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.unsafeFlags(["-L../../target/aarch64-apple-ios/release"]),
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.linkedLibrary("rvf_runtime"),
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]
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),
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// Swift App Clip target that consumes the C bridge.
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.target(
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name: "AppClip",
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dependencies: ["RVFBridge"],
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path: "Sources/AppClip"
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),
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]
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)
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