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dwave-hybrid is a general, minimal Python framework for building hybrid asynchronous decomposition samplers for quadratic unconstrained binary optimization (QUBO) problems. dwave-hybrid facilitates three aspects of solution development: * Hybrid approaches to combining quantum and classical compute resources * Evaluating a portfolio of algorithmic components and problem-decomposition strategies * Experimenting with workflow structures and parameters to obtain the best application results