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From: Mild Shock <janburse@fastmail.fm>
Newsgroups: comp.lang.javascript
Subject: NetFish Transducer in Dogelog Player (Re: ANN: Dogelog Player 2.1.1 (Sky Limit))
Date: Sun, 12 Oct 2025 00:42:33 +0200
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We present a Prolog transducer dubbed NetFish
that can be used to translate Java code into C#
code. NetFish can be built with a non-standard
version of DCG, extending the notion of semi-context
from terminals to non-terminals. NetFish can be
easily run over arbitrary long files
with little memory.

NetFish uses a sliding window along an input text.
It then applies the given compiled DSL rules in a
cascading style. We used various LLMs such as
ChatGPT and DeepSeek to advice us in the rules,
but such a process is currently not integrated.
The output can be run with .NET 9.0.

See also:

NetFish Transducer in Dogelog Player
https://medium.com/2989/9d392937c1e3

Mild Shock schrieb:
> Dear All,
> 
> We are happy to announce a new edition
> of the Dogelog Player:
> 
> - Enhanced GC:
> To lift the native stack limitations, we
> opted for a marking algorithm based on
> Peter Deutschs algorithm E as found in
> Donald Knuths "The Art of Computing Programming"
> book. Our variant uses an int field that was
> anyway recently introduced for Prolog
> compound coloring, so that no extra space
> was introduced in this release.
> 
> - Enhanced Binary-Ops:
> By adopting the pointer approach from Jaffar's
> Unification we could get rid of the map based
> realization from previous releases for union
> find. It turns out this gives quite a speed
> advantage. We also lifted the native stack
> limitation by using an extra space in the
> form of a stack and a log, which surprisingly
> performs well especially for Java, less for
> JavaScript and Python.
> 
> - Enhanced Unary-Ops:
> For unary operations such as term_variables/2,
> ground/1, etc.. we experimented with both
> Peter Deutsch and a stack / log approaches.
> Interestingly for performance reasons we had
> to dismiss the two phase approach induced by
> a marking algorithm such as Peter Deutsch,
> and went also with the one phase approach as
> offered by a stack / log realization.
> 
> Have Fun!
> 
> Jan Burse, 02.10.2025, https://www.herbrand.ai/