pyleecan.Classes.OptiObjective module

Method code available at

class OptiObjective(name='', symbol='', unit='', keeper=None, error_keeper=None, result=- 1, result_ref=None, physic=None, init_dict=None, init_str=None)[source]

Bases: DataKeeper

Class to distinguish normal DataKeeper from optimization objectives

save(save_path='', is_folder=False, type_handle_old=2, type_compression=0)

Save the object to the save_path

  • self – A pyleecan object

  • save_path (str) – path to the folder to save the object

  • is_folder (bool) – to split the object in different files: separate simulation machine and materials (json only)

  • type_handle_old (int) – How to handle old file in folder mode (0:Nothing, 1:Delete, 2:Move to “Backup” folder)

  • type_compression (int) – Available only for json, 0: no compression, 1: gzip


Get the object logger or its parent’s one


obj – A pyleecan object


logger – Pyleecan object dedicated logger

Return type:


compare(other, name='self', ignore_list=None, is_add_value=False)[source]

Compare two objects and return list of differences

as_dict(type_handle_ndarray=0, keep_function=False, **kwargs)[source]

Convert this object in a json serializable dict (can be use in __init__). type_handle_ndarray: int

How to handle ndarray (0: tolist, 1: copy, 2: nothing)


True to keep the function object, else return str

Optional keyword input parameter is for internal use only and may prevent json serializability.


Creates a deepcopy of the object