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The PLambda language

Project description

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PLambda

An early prototype of a workable version of JLambda for Python. To be used mainly as a part of the IOP imaude system.

JLambda and PLambda are essentially network command and control languages. JLambda for controlling Java processes, and PLambda for python processes. JLambda is over 14 years old, whereas PLambda is just a pup.

Note that Python is not Java so there will be some differences, but hopefully the spirit will shine through.

PLambda, like JLambda, is a fast, efficient, minimalistic, call-by-value, lexically scoped Lisp or Scheme like language with closures built upon the underlying data structures of the language it rests upon. The interpreter is implemented via CPS (continuation passing style).

Guide for JLambda Afficionados

https://github.com/SRI-CSL/PLambda/blob/master/GUIDE.md

Install

There is a pip package, but that will move along at a lazier pace than developing directly from the repository.


pip install plambda

Dependencies

This master is currently using Python 3.7 but most recent Python 3 versions should work. Travis tests it on 3.5, 3.6, 3.7 and 3.8. I make no effort to support Python 2, but there is an old branch called 2.7 which might serve your twisted purpose. You will need the antlr4 runtime:


pip install antlr4-python3-runtime

Though this is done by doing make develop described next.

Develop

Checkout the repository and do:


make develop

To run the tests you can do:


make check

Manuals

The jlambda manual can be found here: https://github.com/SRI-CSL/iopc/blob/master/doc/jlambda_manual.pdf?raw=true

The iop manual can be found here: https://github.com/SRI-CSL/iopc/blob/master/doc/iop_manual.pdf?raw=true

Websites

The jlambda webpage lives over here: http://jlambda.com/~iop/jlambda.html

The iop webpage lives over here: http://jlambda.com/~iop/

The main client of the iop system is SRI International’s Pathway Logic: http://pl.csl.sri.com/

Recipe to add an operator

  1. Add it to the grammar plambda.antlr4.PLambda.g4

  2. Process the grammar with make antlr4

  3. Add the operator to the plambda.eval.SymbolTable

  4. Add the operator to the plambda.eval.Interpreter

  5. Add some tests to tests/language.py

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