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We present Chook, an open-source Python-based tool to generate discreteoptimization problems of tunable complexity with a priori known solutions.Chook provides a cross-platform unified environment for solution planting usinga number of techniques, such as tile planting, Wishart planting, equationplanting, and deceptive cluster loop planting. Chook also incorporates plantedsolutions for higher-order (beyond quadratic) binary optimization problems. Thesupport for various planting schemes and the tunable hardness allows the userto generate problems with a wide range of complexity on different graphtopologies ranging from hypercubic lattices to fully-connected graphs.

Chook -- A comprehensive suite for generating binary optimization problems with planted solutions