Source code for pyleecan.Classes.LossFEA

# -*- coding: utf-8 -*-
# File generated according to Generator/ClassesRef/Loss/LossFEA.csv
# WARNING! All changes made in this file will be lost!
"""Method code available at

from os import linesep
from sys import getsizeof
from logging import getLogger
from ._check import check_var, raise_
from ..Functions.get_logger import get_logger
from import save
from ..Functions.load import load_init_dict
from ..Functions.Load.import_class import import_class
from copy import deepcopy
from .Loss import Loss

# Import all class method
# Try/catch to remove unnecessary dependencies in unused method
    from import run
except ImportError as error:
    run = error

from numpy import isnan
from ._check import InitUnKnowClassError

[docs]class LossFEA(Loss): """Simplified loss module, with predefined loss models for a quick setup""" VERSION = 1 # cf if isinstance(run, ImportError): run = property( fget=lambda x: raise_( ImportError("Can't use LossFEA method run: " + str(run)) ) ) else: run = run # generic save method is available in all object save = save # get_logger method is available in all object get_logger = get_logger def __init__( self, k_ed=None, k_hy=None, k_p=None, type_skin_effect=1, logger_name="Pyleecan.Loss", model_dict=None, Tsta=20, Trot=20, is_get_meshsolution=False, init_dict=None, init_str=None, ): """Constructor of the class. Can be use in three ways : - __init__ (arg1 = 1, arg3 = 5) every parameters have name and default values for pyleecan type, -1 will call the default constructor - __init__ (init_dict = d) d must be a dictionary with property names as keys - __init__ (init_str = s) s must be a string s is the file path to load ndarray or list can be given for Vector and Matrix object or dict can be given for pyleecan Object""" if init_str is not None: # Load from a file init_dict = load_init_dict(init_str)[1] if init_dict is not None: # Initialisation by dict assert type(init_dict) is dict # Overwrite default value with init_dict content if "k_ed" in list(init_dict.keys()): k_ed = init_dict["k_ed"] if "k_hy" in list(init_dict.keys()): k_hy = init_dict["k_hy"] if "k_p" in list(init_dict.keys()): k_p = init_dict["k_p"] if "type_skin_effect" in list(init_dict.keys()): type_skin_effect = init_dict["type_skin_effect"] if "logger_name" in list(init_dict.keys()): logger_name = init_dict["logger_name"] if "model_dict" in list(init_dict.keys()): model_dict = init_dict["model_dict"] if "Tsta" in list(init_dict.keys()): Tsta = init_dict["Tsta"] if "Trot" in list(init_dict.keys()): Trot = init_dict["Trot"] if "is_get_meshsolution" in list(init_dict.keys()): is_get_meshsolution = init_dict["is_get_meshsolution"] # Set the properties (value check and convertion are done in setter) self.k_ed = k_ed self.k_hy = k_hy self.k_p = k_p self.type_skin_effect = type_skin_effect # Call Loss init super(LossFEA, self).__init__( logger_name=logger_name, model_dict=model_dict, Tsta=Tsta, Trot=Trot, is_get_meshsolution=is_get_meshsolution, ) # The class is frozen (in Loss init), for now it's impossible to # add new properties def __str__(self): """Convert this object in a readeable string (for print)""" LossFEA_str = "" # Get the properties inherited from Loss LossFEA_str += super(LossFEA, self).__str__() LossFEA_str += "k_ed = " + str(self.k_ed) + linesep LossFEA_str += "k_hy = " + str(self.k_hy) + linesep LossFEA_str += "k_p = " + str(self.k_p) + linesep LossFEA_str += "type_skin_effect = " + str(self.type_skin_effect) + linesep return LossFEA_str def __eq__(self, other): """Compare two objects (skip parent)""" if type(other) != type(self): return False # Check the properties inherited from Loss if not super(LossFEA, self).__eq__(other): return False if other.k_ed != self.k_ed: return False if other.k_hy != self.k_hy: return False if other.k_p != self.k_p: return False if other.type_skin_effect != self.type_skin_effect: return False return True
[docs] def compare(self, other, name="self", ignore_list=None, is_add_value=False): """Compare two objects and return list of differences""" if ignore_list is None: ignore_list = list() if type(other) != type(self): return ["type(" + name + ")"] diff_list = list() # Check the properties inherited from Loss diff_list.extend( super(LossFEA, self).compare( other, name=name, ignore_list=ignore_list, is_add_value=is_add_value ) ) if ( other._k_ed is not None and self._k_ed is not None and isnan(other._k_ed) and isnan(self._k_ed) ): pass elif other._k_ed != self._k_ed: if is_add_value: val_str = ( " (self=" + str(self._k_ed) + ", other=" + str(other._k_ed) + ")" ) diff_list.append(name + ".k_ed" + val_str) else: diff_list.append(name + ".k_ed") if ( other._k_hy is not None and self._k_hy is not None and isnan(other._k_hy) and isnan(self._k_hy) ): pass elif other._k_hy != self._k_hy: if is_add_value: val_str = ( " (self=" + str(self._k_hy) + ", other=" + str(other._k_hy) + ")" ) diff_list.append(name + ".k_hy" + val_str) else: diff_list.append(name + ".k_hy") if ( other._k_p is not None and self._k_p is not None and isnan(other._k_p) and isnan(self._k_p) ): pass elif other._k_p != self._k_p: if is_add_value: val_str = ( " (self=" + str(self._k_p) + ", other=" + str(other._k_p) + ")" ) diff_list.append(name + ".k_p" + val_str) else: diff_list.append(name + ".k_p") if other._type_skin_effect != self._type_skin_effect: if is_add_value: val_str = ( " (self=" + str(self._type_skin_effect) + ", other=" + str(other._type_skin_effect) + ")" ) diff_list.append(name + ".type_skin_effect" + val_str) else: diff_list.append(name + ".type_skin_effect") # Filter ignore differences diff_list = list(filter(lambda x: x not in ignore_list, diff_list)) return diff_list
def __sizeof__(self): """Return the size in memory of the object (including all subobject)""" S = 0 # Full size of the object # Get size of the properties inherited from Loss S += super(LossFEA, self).__sizeof__() S += getsizeof(self.k_ed) S += getsizeof(self.k_hy) S += getsizeof(self.k_p) S += getsizeof(self.type_skin_effect) return S
[docs] def as_dict(self, type_handle_ndarray=0, keep_function=False, **kwargs): """ 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_function : bool True to keep the function object, else return str Optional keyword input parameter is for internal use only and may prevent json serializability. """ # Get the properties inherited from Loss LossFEA_dict = super(LossFEA, self).as_dict( type_handle_ndarray=type_handle_ndarray, keep_function=keep_function, **kwargs ) LossFEA_dict["k_ed"] = self.k_ed LossFEA_dict["k_hy"] = self.k_hy LossFEA_dict["k_p"] = self.k_p LossFEA_dict["type_skin_effect"] = self.type_skin_effect # The class name is added to the dict for deserialisation purpose # Overwrite the mother class name LossFEA_dict["__class__"] = "LossFEA" return LossFEA_dict
[docs] def copy(self): """Creates a deepcopy of the object""" # Handle deepcopy of all the properties k_ed_val = self.k_ed k_hy_val = self.k_hy k_p_val = self.k_p type_skin_effect_val = self.type_skin_effect logger_name_val = self.logger_name if self.model_dict is None: model_dict_val = None else: model_dict_val = dict() for key, obj in self.model_dict.items(): model_dict_val[key] = obj.copy() Tsta_val = self.Tsta Trot_val = self.Trot is_get_meshsolution_val = self.is_get_meshsolution # Creates new object of the same type with the copied properties obj_copy = type(self)( k_ed=k_ed_val, k_hy=k_hy_val, k_p=k_p_val, type_skin_effect=type_skin_effect_val, logger_name=logger_name_val, model_dict=model_dict_val, Tsta=Tsta_val, Trot=Trot_val, is_get_meshsolution=is_get_meshsolution_val, ) return obj_copy
def _set_None(self): """Set all the properties to None (except pyleecan object)""" self.k_ed = None self.k_hy = None self.k_p = None self.type_skin_effect = None # Set to None the properties inherited from Loss super(LossFEA, self)._set_None() def _get_k_ed(self): """getter of k_ed""" return self._k_ed def _set_k_ed(self, value): """setter of k_ed""" check_var("k_ed", value, "float") self._k_ed = value k_ed = property( fget=_get_k_ed, fset=_set_k_ed, doc=u"""eddy current loss coefficients :Type: float """, ) def _get_k_hy(self): """getter of k_hy""" return self._k_hy def _set_k_hy(self, value): """setter of k_hy""" check_var("k_hy", value, "float") self._k_hy = value k_hy = property( fget=_get_k_hy, fset=_set_k_hy, doc=u"""hysteresis loss coefficients :Type: float """, ) def _get_k_p(self): """getter of k_p""" return self._k_p def _set_k_p(self, value): """setter of k_p""" check_var("k_p", value, "float") self._k_p = value k_p = property( fget=_get_k_p, fset=_set_k_p, doc=u"""proximity loss coefficients :Type: float """, ) def _get_type_skin_effect(self): """getter of type_skin_effect""" return self._type_skin_effect def _set_type_skin_effect(self, value): """setter of type_skin_effect""" check_var("type_skin_effect", value, "int") self._type_skin_effect = value type_skin_effect = property( fget=_get_type_skin_effect, fset=_set_type_skin_effect, doc=u"""Skin effect for resistance calculation (0 to ignore skin effect, 1 to consider it) :Type: int """, )