Showing 4 open source projects for "format linux partions in linux"

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  • 1
    Generic Image Decoder

    Generic Image Decoder

    A standalone, portable generic Ada package for decoding images

    The Generic Image Decoder is a package for decoding a broad variety of image formats, from any data stream, to any kind of medium. Unconditionally portable code: OS-, CPU-, compiler- independent code. More information on... http://gen-img-dec.sf.net Alire crate: https://alire.ada.dev/crates/gid Mirror: https://github.com/zertovitch/gid
    Downloads: 36 This Week
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  • 2
    Strings Edit

    Strings Edit

    String editing and formatting library for Ada

    Strings edit is a library that provides I/O facilities for integers, floating-point numbers, Roman numerals, and strings. Both input and output subroutines support string pointers for consequent stream processing. The output can be aligned in a fixed size field with padding. Numeric input can be checked against expected values range to be either saturated or to raise an exception. For floating-point output either relative or absolute output precision can be specified. UTF-8 encoded strings...
    Downloads: 1 This Week
    Last Update:
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  • 3
    AdaGate

    AdaGate

    3D OpenGL dungeon game using Ada: a tribute to Narbacular Drop

    AdaGate is a kid-friendly 3D sokoban puzzle game within a Stargate / Portal fantasy setting. It is a great example of modern OpenGL programming using the Ada programming language. It runs on Windows, OSX, or Linux. While searching a remote south-seas atoll for remnants of a lost American heroine, a stargate kawoosh lures you into 4 strange dungeons. Escape will require the logical rearrangement of weird power cells [ZPMs] that roll in only two directions. Shoot your portal guns...
    Downloads: 1 This Week
    Last Update:
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  • 4
    Fuzzy machine learning framework

    Fuzzy machine learning framework

    A library and a GUI front-end for fuzzy machine learning

    Fuzzy machine learning framework is a library and a GUI front-end for machine learning using intuitionistic fuzzy data. The approach is based on the intuitionistic fuzzy sets and the possibility theory. Further characteristics are fuzzy features and classes; numeric, enumeration features and features based on linguistic variables; user-defined features; derived and evaluated features; classifiers as features for building hierarchical systems; automatic refinement in case of dependent...
    Downloads: 0 This Week
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