• Re: ANN: Dogelog Player 2.1.6 (Assertion Sharing)

    From Mild Shock@3:633/10 to All on Wed Apr 1 00:27:07 2026
    Hi,

    Dogelog Player is a Prolog system for the
    JavaScript, Python and Java target that borrows
    much of its design from formerly Jekejeke Prolog.
    While Dogelog Player shipped only with first
    argument indexing for almost 4 years, we now added
    multi-argument just-in-time indexing.

    For programs one sees fewer spurious choice
    points. For the dynamic database, in queries
    one sees a speed-up of almost a factor M, where
    M is the size of the index map. For updates the
    speed-up materializes less, due to the overhead
    of our 100% Prolog written insert operations.

    Bye

    See also:

    Just-in-Time Indexing in Dogelog Player
    https://medium.com/2989/69200b90ccec

    Mild Shock schrieb:
    Dear All,

    We are happy to announce a new edition
    of the Dogelog Player:

    - Enhanced core (0rNaN):
    Special values are numbers, but neither
    integer nor float. We introduced a further
    special value, namely 0rNaN which stands
    for not a number. Unlike the IEEE proposal,
    we didn't extend arithmetic comparisons such
    as max/3, (<)/2, etc... Only parsing/unparsing
    and foreign function interface (FFI)
    support was introduced.

    - Precomputed Hashes:
    Java programmers are familiar with the
    hashCode() contract and with the programming
    pattern of a cached hash. We went a step further
    and gave the already existing frozen compounds
    of Dogelog player an additional precomputed
    .hash field. With amazing speed-up for built-ins
    such as term_hash/2, (==)/2, etc..

    - Assertion Sharing:
    Precomputed hashes shine when combined with
    NO-COPY mechanisms in the dynamic database,
    notoriously difficult for WAM machines but
    easy for Heap based Prolog systems such as
    Dogelog Player. So far we provided only
    program sharing (PS), this release also
    features assertion sharing (AS).

    Have Fun!

    Jan Burse, https://www.herbrand.ai/ , 20.03.2026


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