Researchers have developed a tool called CPMpy that can translate high-level constraint satisfaction and optimization problems into different lower-level formalisms. This allows users to compare the performance of various solving technologies on a particular problem without having to manually remodel it for each paradigm. The tool uses a modular framework to transform a high-level language into CP, SMT, ILP, PB, or SAT solvers, reusing transformations from higher-level paradigms where possible. --- Why it matters: This matters because it makes it easier for researchers and engineers to compare the performance of different constraint-solving technologies on specific problems. It also enables them to reuse existing models and transformations across different solving paradigms. Source: https://arxiv.org/abs/2608.15143