inet.simulation.task¶
This module provides abstractions for simulation tasks and their results.
Classes¶
Represents multiple simulation tasks that can be run together. |
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Represents a simulation task that can be run as a separate process or in the process where Python is running. |
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Represents a simulation task result that is collected when a simulation task is run. |
Functions¶
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Cleans the results folders for the simulation configs matching the provided filter criteria. |
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Returns multiple simulation tasks matching the filter criteria. The returned tasks can be run by calling the |
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Runs one or more simulations that match the provided filter criteria. The simulations can be run sequentially or |
Module Contents¶
- inet.simulation.task.clean_simulation_results(simulation_project=None, simulation_configs=None, **kwargs)¶
Cleans the results folders for the simulation configs matching the provided filter criteria.
- Parameters:
simulation_project (
SimulationProjector None) – The simulation project from which simulation tasks are collected. If not specified then the default simulation project is used.simulation_configs (List of
SimulationConfigor None) – The list of simulation configurations from which the simulation tasks are collected. If not specified then all simulation configurations are used.kwargs (dict) – Additional parameters are inherited from the
get_simulation_configsfunction.
- Returns (None):
nothing.
- inet.simulation.task.get_simulation_tasks(simulation_project=None, simulation_configs=None, mode=None, debug=None, break_at_event_number=None, break_at_matching_event=None, run_number=None, run_number_filter=None, exclude_run_number_filter=None, sim_time_limit=None, cpu_time_limit=None, concurrent=True, expected_num_tasks=None, simulation_task_class=SimulationTask, multiple_simulation_tasks_class=MultipleSimulationTasks, **kwargs)¶
Returns multiple simulation tasks matching the filter criteria. The returned tasks can be run by calling the
runmethod.- Parameters:
simulation_project (
SimulationProjector None) – The simulation project from which simulation tasks are collected. If not specified then the default simulation project is used.simulation_configs (List of
SimulationConfigor None) – The list of simulation configurations from which the simulation tasks are collected. If not specified then all simulation configurations are used.mode (string) – Determines the build mode for the simulation project before running any of the returned simulation tasks. Valid values are “debug” and “release”.
debug (bool) – Specifies that the IDE debugger should be attached to the running simulation.
break_at_event_number (int) – Specifies an event number at which a breakpoint is to be set.
break_at_matching_event (string) – Specifies a C++ expression at which a breakpoint is to be set.
run_number (int or None) – The simulation run number of all returned simulation tasks. If not specified, then this filter criteria is ignored.
run_number_filter (string or None) – A regular expression that matches the simulation run number of the returned simulation tasks. If not specified, then this filter criteria is ignored.
exclude_run_number_filter (string or None) – A regular expression that does not match the simulation run number of the returned simulation tasks. If not specified, then this filter criteria is ignored.
sim_time_limit (string or None) – The simulation time limit of the returned simulation tasks. If not specified, then the value in the simulation configuration is used.
cpu_time_limit (string or None) – The CPU processing time limit of the returned simulation tasks. If not specified, then the value in the simulation configuration is used.
concurrent (bool) – Specifies if collecting simulation configurations and simulation tasks is done sequentially or concurrently.
expected_num_tasks (int) – The number of tasks that is expected to be returned. If the result doesn’t match an exception is raised.
simulation_task_class (type) – Determines the Python class of the returned simulation task objects.
multiple_simulation_tasks_class (type) – Determines the Python class of the returned multiple simulation tasks object.
kwargs (dict) – Additional parameters are inherited from the
matches_filtermethod and also from theSimulationTaskandMultipleSimulationTasksconstructors.
- Returns (
MultipleSimulationTasks): An object that contains a list of
SimulationTaskmatching the filter criteria. Each simulation task describes a simulation that can be run (and re-run) without providing additional parameters.
- inet.simulation.task.run_simulations(**kwargs)¶
Runs one or more simulations that match the provided filter criteria. The simulations can be run sequentially or concurrently on a single computer or on an SSH cluster. Besides, the simulations can be run as separate processes and also in the same Python process loading the required libraries.
- Parameters:
kwargs (dict) – Additional parameters are inherited from the
get_simulation_tasks()function and also from theMultipleSimulationTasks.run()method.
- Returns (
MultipleTaskResults): an object that contains a list of
SimulationTaskResultobjects. Each object describes the results of running one simulation.