petab.v1.models.sbml_model

Functions for handling SBML models

Functions

sympify_sbml(sbml_obj)

Convert SBML math expression to sympy expression.

Classes

SbmlModel([sbml_model, sbml_reader, ...])

PEtab wrapper for SBML models

class petab.v1.models.sbml_model.SbmlModel(sbml_model: Model | None = None, sbml_reader: SBMLReader | None = None, sbml_document: SBMLDocument | None = None, model_id: str | None = None)[source]

Bases: Model

PEtab wrapper for SBML models

static from_file(filepath_or_buffer, model_id: str | None = None)[source]

Load the model from the given path/URL

Parameters:

filepath_or_buffer – URL or path of the model
model_id – Model ID

Returns:

A Model instance holding the given model

get_free_parameter_ids_with_values() → Iterable[tuple[str, float]][source]

Get free model parameters along with their values

Returns:: Iterator over tuples of (parameter_id, parameter_value)

get_parameter_ids() → Iterable[str][source]

Get all parameter IDs from this model

Returns:: Iterator over model parameter IDs

get_parameter_value(id_: str) → float[source]

Get a parameter value

Parameters:: id – ID of the parameter whose value is to be returned
Raises:: ValueError – If no parameter with the given ID exists
Returns:: The value of the given parameter as specified in the model

get_valid_ids_for_condition_table() → Iterable[str][source]

Get IDs of all model entities that are allowed to occur as columns in the PEtab conditions table.

Returns:: Iterator over model entity IDs

get_valid_parameters_for_parameter_table() → Iterable[str][source]

Get IDs of all parameters that are allowed to occur in the PEtab parameters table

Returns:: Iterator over parameter IDs

has_entity_with_id(entity_id) → bool[source]

Check if there is a model entity with the given ID

Parameters:: entity_id – ID to check for
Returns:: True, if there is an entity with the given ID, False otherwise

is_state_variable(id_: str) → bool[source]: Check whether the given ID corresponds to a model state variable

is_valid() → bool[source]

Validate this model

Returns:: True if the model is valid, False if there are errors in this model

symbol_allowed_in_observable_formula(id_: str) → bool[source]

Check if the given ID is allowed to be used in observable and noise formulas

Returns:: True, if allowed, False otherwise

to_file(filename: [<class 'str'>, <class 'pathlib.Path'>])[source]

Save the model to the given file

Parameters:: filename – Destination filename