https://github.com/florianschanda/pympf
Arbitrary precision IEEE-754 implementation in Python for generating SMTLIB float benchmarks
https://github.com/florianschanda/pympf
ieee-754 smt-lib
Last synced: 5 months ago
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Arbitrary precision IEEE-754 implementation in Python for generating SMTLIB float benchmarks
- Host: GitHub
- URL: https://github.com/florianschanda/pympf
- Owner: florianschanda
- License: gpl-3.0
- Created: 2017-02-24T11:25:38.000Z (over 8 years ago)
- Default Branch: master
- Last Pushed: 2020-05-20T08:40:21.000Z (over 5 years ago)
- Last Synced: 2025-04-30T02:02:42.648Z (5 months ago)
- Topics: ieee-754, smt-lib
- Language: Python
- Size: 327 KB
- Stars: 4
- Watchers: 3
- Forks: 1
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# PyMPF
This is an arbitrary precision IEEE-754 floating point implementation.
The main motivation is correctness and test-case generation, so a
number of things might seem a bit strange. This library has a bunch of
limitations and should never be used if you want things to be
fast. MPFR, SymFPU or Z3's MPF library are what you want.
Why "yet another" implementation?
- This library supports RNA (MPFR does not)
- This library supports subnormals and infinities (MPFR does, but only with
tricks)
- This library uses IEEE or SMTLIB terminology where possible (MPFR tends to
stick to more "maths" terminology)
- This library is implemented completely in Python unlike gmpy, mpmath, etc.
- This library is an independent implementation so can be used to check
Z3/SymFPU
- This library uses a stupid but simple algorithm to do rounding
The main use of this library is random test-case generation for
SMT-LIB. It has been used to validate the FP implementations of CVC4,
Z3, MathSAT, SONOLAR, Alt-Ergo, Colibri, goSAT, and xsat; and has
found bugs in all of them ;)
# SMT-LIB random testcase generator
This will move to a new project. For now it is still available in
the "python2" branch of PyMPF.
# Requirements
Python 3.5 or later.
There is also a Python2 port, but I don't plan to maintain it
(although do shout if you need it).
# Documentation
This is very much work in progress and entirely incomplete (I just
started adding this).
* [PyMPF API Documentation](https://florianschanda.github.io/PyMPF/)
# Installation
This package is available on PyPI. To install simply run:
```
$ pip3 install PyMPF
```
# License and Copyright
Everything in this repository is licensed under the GNU GPL v3.
Key copyright holders that contributed to this library are:
* Florian Schanda
* Altran UK Limited
* Zenuity AB