# -*- 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 https://github.com/Eomys/pyleecan/tree/master/pyleecan/Methods/Simulation/EEC_LSRPM
"""
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 ..Functions.save 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
try:
from ..Methods.Simulation.EEC_LSRPM.comp_parameters import comp_parameters
except ImportError as error:
comp_parameters = error
try:
from ..Methods.Simulation.EEC_LSRPM.solve import solve
except ImportError as error:
solve = error
try:
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()
