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A differentiable programming language for continuous computation

Project description

The Paramath Programming Language

Paramath is a Domain-Specific Language (DSL) that transforms procedural math code into mathematical expressions. Paramath compiles into math expressions with operations that are commonly found on standard scientific calculators, allowing evaluation of logical code on mathematical hardware.

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Why the name "Paramath"?
The word "paramath" comes from the portmanteau of "parenthesis" and "mathematics".

Features

  • S-expression syntax: Clean, unambiguous structure
  • Automatic optimization: Duplicate detection and subexpression extraction
  • Loop unrolling: Compile-time iteration for performance
  • Flexible output: Display or store results in variables

Documentation

Full documentation is available here!

Installation

Method 1 (PyPI):

To install the latest release, just install it fron PyPI using:

pip install paramath-lang

Afterwards, run this to ensure Paramath is correctly installed:

paramath --version

To update, just run:

pip install --upgrade paramath-lang

Method 2 (Direct Git Clone):

Clone this repository by running the following commands in a shell:

git clone https://github.com/kaemori/paramath.git
cd paramath

Then, run the following command to install Paramath:

python -m pip install .

Note: We recommend installing via PyPI for easier updates. Direct git installs are snapshots and require reinstalling for each update.

Usage

The compiler can be accessed with the following command:

paramath [-h] [-v] [-o FILE] [-D] [-V] [-O] [-S] [-L FILE] [filepath]

positional arguments:
  filepath            Input paramath file

options:
  -h, --help          show this help message and exit
  -v, --version       prints the Paramath version number and exits
  -o, --output FILE   output file (default: math.txt)
  -D, --debug         enable debug output
  -V, --verbose       enable verbose output
  -O, --print-output  print out the compiled output
  -m, --math-output   format output for calculators (use ^, implicit multiplication, ANS)
  -S, --safe-eval     prints and blocks python code from evaluating and exits, used for safely running unknown scripts
  -L, --logfile FILE  write logs to FILE

This help message can also be displayed later by running paramath --help

License

This project is licensed under the MIT License.

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