matrx-assignment
Typed, payload-agnostic assignment planning and durable coordination.
The library turns a strict plan into immutable work items, then drives those
items through an injected store and executor. Hosts can begin with coordinated
rows (for example, 50 paired topic + research inputs) and later add policies
without changing the agent or workflow execution systems.
Supported plans:
coordinated_rows: preserve paired values and run every row once.independent_random: choose every variable independently with unbiased system randomness, optionally without repeating a full combination.cartesian: enumerate combinations, optionally in unbiased random order.
Random plans are materialized once and persisted by the host. Recovery therefore resumes the same items instead of producing a new draw.
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Release files for matrx-assignment 0.1.47
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| matrx_assignment-0.1.47-py3-none-any.whl | Python 3 | none | any | Details |
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