Source code for pyleecan.Classes.EEC_LSRPM

# -*- coding: utf-8 -*-
# File generated according to Generator/ClassesRef/Simulation/EEC_LSRPM.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 .EEC import EEC

# Import all class method
# Try/catch to remove unnecessary dependencies in unused method
    from ..Methods.Simulation.EEC_LSRPM.comp_parameters import comp_parameters
except ImportError as error:
    comp_parameters = error

    from ..Methods.Simulation.EEC_LSRPM.solve import solve
except ImportError as error:
    solve = error

    from ..Methods.Simulation.EEC_LSRPM.comp_joule_losses import comp_joule_losses
except ImportError as error:
    comp_joule_losses = error

from numpy import isnan
from ._check import InitUnKnowClassError

[docs]class EEC_LSRPM(EEC): """Electrical Equivalent Circuit for LSRPM""" VERSION = 1 # Check ImportError to remove unnecessary dependencies in unused method # cf Methods.Simulation.EEC_LSRPM.comp_parameters if isinstance(comp_parameters, ImportError): comp_parameters = property( fget=lambda x: raise_( ImportError( "Can't use EEC_LSRPM method comp_parameters: " + str(comp_parameters) ) ) ) else: comp_parameters = comp_parameters # cf Methods.Simulation.EEC_LSRPM.solve if isinstance(solve, ImportError): solve = property( fget=lambda x: raise_( ImportError("Can't use EEC_LSRPM method solve: " + str(solve)) ) ) else: solve = solve # cf Methods.Simulation.EEC_LSRPM.comp_joule_losses if isinstance(comp_joule_losses, ImportError): comp_joule_losses = property( fget=lambda x: raise_( ImportError( "Can't use EEC_LSRPM method comp_joule_losses: " + str(comp_joule_losses) ) ) ) else: comp_joule_losses = comp_joule_losses # 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, type_skin_effect=1, OP=None, Tsta=20, Trot=20, Xkr_skinS=1, Xke_skinS=1, Xkr_skinR=1, Xke_skinR=1, R1=None, fluxlink=None, 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 "type_skin_effect" in list(init_dict.keys()): type_skin_effect = init_dict["type_skin_effect"] if "OP" in list(init_dict.keys()): OP = init_dict["OP"] if "Tsta" in list(init_dict.keys()): Tsta = init_dict["Tsta"] if "Trot" in list(init_dict.keys()): Trot = init_dict["Trot"] if "Xkr_skinS" in list(init_dict.keys()): Xkr_skinS = init_dict["Xkr_skinS"] if "Xke_skinS" in list(init_dict.keys()): Xke_skinS = init_dict["Xke_skinS"] if "Xkr_skinR" in list(init_dict.keys()): Xkr_skinR = init_dict["Xkr_skinR"] if "Xke_skinR" in list(init_dict.keys()): Xke_skinR = init_dict["Xke_skinR"] if "R1" in list(init_dict.keys()): R1 = init_dict["R1"] if "fluxlink" in list(init_dict.keys()): fluxlink = init_dict["fluxlink"] # Set the properties (value check and convertion are done in setter) # Call EEC init super(EEC_LSRPM, self).__init__( type_skin_effect=type_skin_effect, OP=OP, Tsta=Tsta, Trot=Trot, Xkr_skinS=Xkr_skinS, Xke_skinS=Xke_skinS, Xkr_skinR=Xkr_skinR, Xke_skinR=Xke_skinR, R1=R1, fluxlink=fluxlink, ) # The class is frozen (in EEC init), for now it's impossible to # add new properties def __str__(self): """Convert this object in a readeable string (for print)""" EEC_LSRPM_str = "" # Get the properties inherited from EEC EEC_LSRPM_str += super(EEC_LSRPM, self).__str__() return EEC_LSRPM_str def __eq__(self, other): """Compare two objects (skip parent)""" if type(other) != type(self): return False # Check the properties inherited from EEC if not super(EEC_LSRPM, self).__eq__(other): 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 EEC diff_list.extend( super(EEC_LSRPM, self).compare( other, name=name, ignore_list=ignore_list, is_add_value=is_add_value ) ) # 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 EEC S += super(EEC_LSRPM, self).__sizeof__() 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 EEC EEC_LSRPM_dict = super(EEC_LSRPM, self).as_dict( type_handle_ndarray=type_handle_ndarray, keep_function=keep_function, **kwargs ) # The class name is added to the dict for deserialisation purpose # Overwrite the mother class name EEC_LSRPM_dict["__class__"] = "EEC_LSRPM" return EEC_LSRPM_dict
[docs] def copy(self): """Creates a deepcopy of the object""" # Handle deepcopy of all the properties type_skin_effect_val = self.type_skin_effect if self.OP is None: OP_val = None else: OP_val = self.OP.copy() Tsta_val = self.Tsta Trot_val = self.Trot Xkr_skinS_val = self.Xkr_skinS Xke_skinS_val = self.Xke_skinS Xkr_skinR_val = self.Xkr_skinR Xke_skinR_val = self.Xke_skinR R1_val = self.R1 if self.fluxlink is None: fluxlink_val = None else: fluxlink_val = self.fluxlink.copy() # Creates new object of the same type with the copied properties obj_copy = type(self)( type_skin_effect=type_skin_effect_val, OP=OP_val, Tsta=Tsta_val, Trot=Trot_val, Xkr_skinS=Xkr_skinS_val, Xke_skinS=Xke_skinS_val, Xkr_skinR=Xkr_skinR_val, Xke_skinR=Xke_skinR_val, R1=R1_val, fluxlink=fluxlink_val, ) return obj_copy
def _set_None(self): """Set all the properties to None (except pyleecan object)""" # Set to None the properties inherited from EEC super(EEC_LSRPM, self)._set_None()