pytornado package

Submodules

pytornado.__version__ module

pytornado._assembly module

Assembly

pytornado._assembly.create_system_matrices(m)

Assemble global tensors

pytornado._log module

Logging

pytornado._meshing module

Module for creating the geometric mesh

pytornado._meshing.create_mesh(m)

Top-level function for mesh creation

pytornado._model module

Model definition

class pytornado._model.Builtin(value)

Bases: enum.Enum

Built-in models

RECT_WING = 'rect_wing'

classmethod to_list()

class pytornado._model.Model

Bases: mframework._mframework._BaseSpec._provide_user_class_from_base.<locals>.UserSpace

_abc_impl = <_abc_data object>

classmethod from_cpacs()

classmethod from_example(example='rect_wing')

run()

The ‘run()’ method is the main entry point for evaluating the user model. This method needs to be overridden in the subclass. The ‘run()’ method should return an instance of ‘_result_user_class’. When implementing ‘run()’ in the subclass, the superclass ‘run()’ method should first be called with ‘super().run()’.

pytornado._model.get_rectangular_wing()

pytornado._plot module

Plotting

pytornado._plot.plot_all(m)

Create all plots defined in the model object

pytornado._run module

Run the model

pytornado._run.run_model(m)

Run the complete model analysis

Args:

m

model instance

pytornado._solve module

Solving

pytornado._solve.solve(m)

pytornado._util module

Utils

class pytornado._util.Schemas

Bases: object

any_int = {'type': <class 'int'>}

any_num = {'type': <class 'numbers.Number'>}

pos_int = {'>': 0, 'type': <class 'int'>}

pos_number = {'>': 0, 'type': <class 'numbers.Number'>}

string = {'>': 0, 'type': <class 'str'>}

vector3x1 = {'item_types': <class 'numbers.Number'>, 'max_len': 3, 'min_len': 3, 'type': <class 'list'>}

vector6x1 = {'item_types': <class 'numbers.Number'>, 'max_len': 6, 'min_len': 6, 'type': <class 'list'>}

Module contents