**Constraint partitioning** is a constrained-random verification technique in which a large constraint problem is divided into smaller, related groups—often using an object-oriented class hierarchy—so that a constraint solver handles fewer variables and equations per randomization call. In microprocessor opcode generation, this approach has been used to improve randomization speed and reduce memory consumption while preserving control over instruction distributions and biasing toward corner cases.[4de14aa6-a0c6-4115-8dcd-2be6148018dc]

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