sampo.schemas.time_estimator#

Overview#

Classes#

WorkEstimationMode

Generic enumeration.

WorkTimeEstimator

Implementation of time estimator of work with a given set of resources.

DefaultWorkEstimator

Implementation of time estimator of work with a given set of resources.
Function#

communication_coefficient(groups_count, max_groups)

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Classes#

class sampo.schemas.time_estimator.WorkEstimationMode#

Bases: enum.Enum

Generic enumeration.

Derive from this class to define new enumerations.

Pessimistic = ()#
Realistic = (0,)#
Optimistic = 1#
class sampo.schemas.time_estimator.WorkTimeEstimator#

Bases: abc.ABC

Implementation of time estimator of work with a given set of resources.

abstract set_estimation_mode(use_idle: bool = True, mode: WorkEstimationMode = WorkEstimationMode.Realistic)#
abstract set_productivity_mode(mode: sampo.schemas.resources.WorkerProductivityMode = WorkerProductivityMode.Static)#
abstract find_work_resources(work_name: str, work_volume: float, resource_name: list[str] = None) → dict[str, int]#
abstract estimate_time(work_unit: sampo.schemas.works.WorkUnit, worker_list: list[sampo.schemas.resources.Worker])#
class sampo.schemas.time_estimator.DefaultWorkEstimator(rand: random.Random = Random())#

Bases: WorkTimeEstimator

Implementation of time estimator of work with a given set of resources.

find_work_resources(work_name: str, work_volume: float, resource_name: list[str] | None = None) → dict[str, int]#
set_estimation_mode(use_idle: bool = True, mode: WorkEstimationMode = WorkEstimationMode.Realistic)#
set_productivity_mode(mode: sampo.schemas.resources.WorkerProductivityMode = WorkerProductivityMode.Static)#
estimate_static(work_unit: sampo.schemas.works.WorkUnit, worker_list: list[sampo.schemas.resources.Worker]) → sampo.schemas.time.Time#

Calculate summary time of task execution (without stochastic part)

Parameters:

  • work_unit –

  • worker_list –

Returns:

time of task execution

estimate_time(work_unit: sampo.schemas.works.WorkUnit, worker_list: list[sampo.schemas.resources.Worker]) → sampo.schemas.time.Time#
static get_productivity_of_worker(worker: sampo.schemas.resources.Worker, rand: random.Random | None = None, max_groups: int = 0, productivity_mode: sampo.schemas.resources.WorkerProductivityMode = WorkerProductivityMode.Static)#

Calculate the productivity of the Worker It has 2 mods: stochastic and non-stochastic, depending on the value of rand

Parameters:

  • productivity_mode –

  • max_groups –

  • worker – the worker

  • rand – parameter for stochastic part

Returns:

productivity of received worker

Functions#

sampo.schemas.time_estimator.communication_coefficient(groups_count: int, max_groups: int) → float#