Skip to main content

A solver-agnostic library for SMT Formulae manipulation and solving

Project description

pySMT makes working with Satisfiability Modulo Theory simple.

Among others, you can:

  • Define formulae in a solver independent way in a simple and inutitive way,
  • Write ad-hoc simplifiers and operators,
  • Dump your problems in the SMT-Lib format,
  • Solve them using one of the native solvers, or by wrapping any SMT-Lib complaint solver.

Supported Theories and Solvers

pySMT provides methods to define a formula in Linear Real Arithmetic (LRA), Real Difference Logic (RDL), their combination (LIRA), Equalities and Uninterpreted Functions (EUF), Bit-Vectors (BV), and Arrays (A). The following solvers are supported through native APIs:

Additionally, you can use any SMT-LIB 2 compliant solver.

PySMT assumes that the python bindings for the SMT Solver are installed and accessible from your PYTHONPATH.

Wanna know more?


Project details

Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

PySMT-0.9.5.tar.gz (259.2 kB view hashes)

Uploaded source

Built Distribution

PySMT-0.9.5-py2.py3-none-any.whl (319.1 kB view hashes)

Uploaded py2 py3

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page