A Python library for working with logic networks, synthesis, and optimization.
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Updated
Apr 11, 2026 - Python
A Python library for working with logic networks, synthesis, and optimization.
AIGER files designed by hand, for testing (and limited benchmarking) of new model checkers
Implementation of bounded model checking with Z3py. (AIGER1.0 support)
A simple tool that converts Boole files to their corresponding AIGER counterparts
Satisfiable benchmarks from reactive synthesis. The challenge is to find small solutions.
Pure Python AIG (And-Inverter Graph) optimizer with FRAIG sweeping, NPN-guided DAG-aware rewriting, resubstitution, and stochastic multi-restart optimization. Benchmarks against Yosys and ABC.
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