sbmlsim.examples.experiments.initial_assignment.initial_assignment
¶
Example simulation experiment.
Module Contents¶
Classes¶
Testing initial assignments. |
Functions¶
|
Run the example. |
Attributes¶
- class sbmlsim.examples.experiments.initial_assignment.initial_assignment.AssignmentExperiment(sid=None, base_path=None, data_path=None, ureg=None, **kwargs)[source]¶
Bases:
sbmlsim.experiment.SimulationExperiment
Testing initial assignments.
- Parameters
sid (str) –
base_path (pathlib.Path) –
data_path (pathlib.Path) –
ureg (sbmlsim.units.UnitRegistry) –
- models(self)[source]¶
Define model definitions.
The child classes fill out the information.
- Return type
Dict[str, sbmlsim.model.AbstractModel]
- tasks(self)[source]¶
Define task definitions.
The child classes fill out the information.
- Return type
Dict[str, sbmlsim.task.Task]
- datagenerators(self)[source]¶
Define DataGenerators including functions.
All data which is accessed in a simulation result must be defined in a data generator. The data generators are important for defining the selections of a simulation experiment.
- Return type
None
- simulations(self)[source]¶
Define simulation definitions.
The child classes fill out the information.
- Return type
Dict[str, sbmlsim.simulation.AbstractSim]
- figures(self)[source]¶
Figure definition.
Selections accessed in figures and analyses must be registered beforehand via datagenerators.
Most figures do not require access to concrete data, but only abstract data concepts.
- Return type
Dict[str, sbmlsim.plot.Figure]