Todo

Improve autoapi module

circadapt.model

Package Contents

Classes

Model

Wrapper to communicate with c++ code.

Subpackages

Submodules

Objects

class circadapt.model.Model(solver)

Bases: circadapt.CircAdapt

Wrapper to communicate with c++ code.

Parameters

model: str

Name of the model to be build

solver: str (optional)

Name of solver to be build. If not given, the default models solver is used.

path_to_circadapt: str (optional)

Path to CircAdapt library. If not given, the default_path_to_circadapt is used.

model_state: (multi)

Model state to be loaded. (default) -> load model reference from package False -> do nothing str -> load filename dict -> load given model state

build()

Build model.

Add and link components in the model. By default, the model is empty. This function will be used in derived model builts.

get_model_reference(model_state=None)
load_reference()

Load reference of current model from the package.

run(n_beats: int = 1, run_stable: bool = False, export: bool = True) → None

Run the model by solving the ODEs for n_beats.

The currently loaded model, model state, and parameterization will be used to run n_beats. Optional, more beats are performed until the model is hemodynamically stable (run_stable=True). By default, all data will be exported (export=True). By disabling this (export=False), the model runs faster by only solving the state variables in case a backward ODE solver is used.

Parameters
n_beats: int, optional (default: True)

Number of beats

run_stable: bool, optional (default: False)

Run beats until simulation is hemodynamically stable

export: bool, optional (default: False)

Future

is_stable() → bool

Check if simulation is hemodynamically stable.

get(par: str, dtype: any = None) → any

Get parameter from the model.

Parameters
par: str

Parameter name to get. This string value contains the parameter that will be obtained and the component from which it will be obtained. Components, its subcomponents, and the parameter name at the and are separated with a dot.

dtype: string or type, optional (default = None)

The type of parameter that will be obtained. If not specified, it will be detairmined automatically. If computational cost is important, it is better to specify the dtype.

Returns
Get value: type depending on dtype.

Returns the value stored in the c++ object

set(par: str, val: any, dtype=None) → bool

Set parameter from dtype with value val.

Parameters
par: str

Parameter name to get. This string value contains the parameter that will be obtained and the component from which it will be obtained. Components, its subcomponents, and the parameter name at the and are separated with a dot.

val: any

Value to be set. The value must be the same as the parameter used.

dtype: string or type, optional (default = None)

The type of parameter that will be obtained. If not specified, it will be detairmined automatically. If computational cost is important, it is better to specify the dtype.

Returns

bool: success or not

trigger(par) → bool

Trigger a function.

Objects in the model may have a function that can be triggered. This can be done by triggering the function using the ‘par’ parameter similar to the set function, only without a parameter.

Parameters
parstr

Function in object that will be triggered. It has a similar form to the set/get par, i.e. ‘Component.subcomponent.function_name’

Returns

is_success (bool)

add_component(comp_type: str, comp_name: str, base: str = '') → bool

Add component to CircAdapt object.

Parameters
comp_type: str

Type of object to create in the ComponentFactory

comp_name: str

Name of the new object to create

base: char, optional (default=’’)

Parent object of new component

Returns

is_success (bool)

set_component(par, obj) → bool

Set component to the parameter of a CircAdapt object.

Parameters
par: str

Parameter of object to link object obj to

obj: str

Object to set

model_import(model_state, check_model_state=False) → None

Load model_state into CircAdapt object.

Style and model_state version is automatically recognized.

Parameters
model_state: dict

model_state with data to set

obj: str

Object to set

model_export(style: str = None) → dict

Return the stored model state.

Parameters
style: str (optional)

Style to follow. If not given, the default style from the model is used.

Returns

dict

save(filename: str, ext: str = None) → None

Save model to filename with extention.

Parameters
filename: str

Filename to save file to. Filename must have extention .npy or .mat

ext: str (optional)

Extention of the file. If not given, the last 3 letters of the filename is used to determine the save method.

load(filename: str) → None

Load a model dataset from a filename.

Parameters
filename: str

Path to file that will be loaded. The extension must be .npy or .mat.

is_success() → bool

Return false if vectors contain nan.

Returns

bool

abstract copy()

Return a copy of itself.