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35 lines
2.2 KiB
Markdown
35 lines
2.2 KiB
Markdown
# Third-party notices
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The MIT license in this repository covers this project's own implementation,
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documentation and artwork. It does not relicense third-party software or trademarks.
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- When running from source, Python, PyGObject, GTK, libadwaita and libdbusmenu are
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provided by your system. The AppImage bundles these libraries and their runtime
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dependencies from Ubuntu 24.04. Their respective licenses continue to apply.
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- AppImage license/copyright texts and the package manifest are included under
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`usr/share/doc/btd700-bundled/`; shared license texts are under
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`usr/share/common-licenses/`. Extract with `--appimage-extract` to inspect them.
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Exact corresponding Ubuntu source archives, package versions and build
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instructions are downloadable beside each AppImage as
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`*-dependency-sources.tar.gz`. These dependencies are not relicensed under MIT.
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- The AppImage type2 runtime is MIT-licensed and statically includes musl (MIT),
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libfuse (LGPL 2.1), squashfuse (BSD), zstd (BSD) and zlib (zlib license).
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Runtime notices are included in the image; runtime sources, build scripts,
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libfuse sources/patches and squashfuse sources accompany the dependency archive.
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See [AppImage build documentation](docs/APPIMAGE.md) for replacing libraries and
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rebuilding the runtime or app.
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- The control protocol was reconstructed by examining the official Windows
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Sennheiser Dongle Control 1.0.5 application. The vendor application, decompiled
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sources, firmware and vendor graphics are not included. Provenance and references
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are recorded in [docs/PROTOCOL.md](docs/PROTOCOL.md).
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- The optional extraction helper reads the documented .NET bundle format. Its
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references are linked in the protocol documentation. Extracted assemblies are
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private analysis material, not part of this distribution.
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- Sennheiser, Sonova, Qualcomm, BTD 700, aptX and Auracast names are used to describe
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compatibility and functionality. Their use does not imply endorsement.
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- The app icon is original project artwork. README screenshots capture this app
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with demo data, using system-provided GTK/libadwaita styling and icons.
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The project was developed using AI (OpenAI Codex). The source and tests are available
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for review; passing tests does not guarantee operation with any particular device.
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