pyleecan.Classes.PostLUT module

Method code available at https://github.com/Eomys/pyleecan/tree/master/pyleecan/Methods/Post/PostLUT

class PostLUT(is_save_LUT=True, file_name='LUT', init_dict=None, init_str=None)[source]

Bases: PostMethod

Class to generate a LUT after the corresponding simulation

VERSION = 1
run(LUT)

PostProcessing to clean a LUT from un-necessary output after the corresponding simulation

Parameters:

  • self (PostLUT) – A PostLUT object

  • LUT (LUT) – LUT object coming from LUT calculation workflow to cleanup

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

Save the object to the save_path

Parameters:

  • 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_logger()

Get the object logger or its parent’s one

Parameters:

obj – A pyleecan object

Returns:

logger – Pyleecan object dedicated logger

Return type:

logging.Logger

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)

keep_functionbool

True to keep the function object, else return str

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

copy()[source]

Creates a deepcopy of the object

property is_save_LUT

True to save LUT in PostLUT

Type:

bool

property file_name

File name of the file created if is_save_LUT is True

Type:

str