sampo.scheduler.resource.average_req#

Overview#

Classes#
`AverageReqResourceOptimizer`	Class that implements optimization the number of resources by counting average resource requirements.

class sampo.scheduler.resource.average_req.AverageReqResourceOptimizer(k: float = 2)#

Class that implements optimization the number of resources by counting average resource requirements.

optimize_resources(worker_pool: sampo.schemas.contractor.WorkerContractorPool, worker_team: list[sampo.schemas.resources.Worker], optimize_array: numpy.ndarray, down_border: numpy.ndarray, up_border: numpy.ndarray, get_finish_time: Callable[[list[sampo.schemas.resources.Worker]], sampo.schemas.time.Time])#

The resource optimization module, that counts average resource requirements.

Parameters:

worker_pool – global resources pool
worker_team – worker team to optimize
optimize_array – a boolean array that says what positions should be optimized
down_border – down border of optimization
up_border – up border of optimization
get_finish_time – optimization function that should give execution time based on worker team