# -*- coding: utf-8 -*-
# File generated according to Generator/ClassesRef/Output/LUTdq.csv
# WARNING! All changes made in this file will be lost!
"""Method code available at https://github.com/Eomys/pyleecan/tree/master/pyleecan/Methods/Output/LUTdq
"""
from os import linesep
from sys import getsizeof
from logging import getLogger
from ._check import set_array, 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 .LUT import LUT
# Import all class method
# Try/catch to remove unnecessary dependencies in unused method
try:
from ..Methods.Output.LUTdq.get_index_open_circuit import get_index_open_circuit
except ImportError as error:
get_index_open_circuit = error
try:
from ..Methods.Output.LUTdq.get_L_dqh import get_L_dqh
except ImportError as error:
get_L_dqh = error
try:
from ..Methods.Output.LUTdq.get_Lm_dqh import get_Lm_dqh
except ImportError as error:
get_Lm_dqh = error
try:
from ..Methods.Output.LUTdq.get_Phi_dqh_mag import get_Phi_dqh_mag
except ImportError as error:
get_Phi_dqh_mag = error
try:
from ..Methods.Output.LUTdq.get_Phi_dqh_mag_mean import get_Phi_dqh_mag_mean
except ImportError as error:
get_Phi_dqh_mag_mean = error
try:
from ..Methods.Output.LUTdq.get_Phi_dqh_mean import get_Phi_dqh_mean
except ImportError as error:
get_Phi_dqh_mean = error
try:
from ..Methods.Output.LUTdq.interp_Phi_dqh import interp_Phi_dqh
except ImportError as error:
interp_Phi_dqh = error
try:
from ..Methods.Output.LUTdq.interp_Ploss_dqh import interp_Ploss_dqh
except ImportError as error:
interp_Ploss_dqh = error
try:
from ..Methods.Output.LUTdq.interp_Tem_rip_dqh import interp_Tem_rip_dqh
except ImportError as error:
interp_Tem_rip_dqh = error
from numpy import array, array_equal
from numpy import isnan
from ._check import InitUnKnowClassError
[docs]class LUTdq(LUT):
"""Look Up Table class for dq OP matrix"""
VERSION = 1
# Check ImportError to remove unnecessary dependencies in unused method
# cf Methods.Output.LUTdq.get_index_open_circuit
if isinstance(get_index_open_circuit, ImportError):
get_index_open_circuit = property(
fget=lambda x: raise_(
ImportError(
"Can't use LUTdq method get_index_open_circuit: "
+ str(get_index_open_circuit)
)
)
)
else:
get_index_open_circuit = get_index_open_circuit
# cf Methods.Output.LUTdq.get_L_dqh
if isinstance(get_L_dqh, ImportError):
get_L_dqh = property(
fget=lambda x: raise_(
ImportError("Can't use LUTdq method get_L_dqh: " + str(get_L_dqh))
)
)
else:
get_L_dqh = get_L_dqh
# cf Methods.Output.LUTdq.get_Lm_dqh
if isinstance(get_Lm_dqh, ImportError):
get_Lm_dqh = property(
fget=lambda x: raise_(
ImportError("Can't use LUTdq method get_Lm_dqh: " + str(get_Lm_dqh))
)
)
else:
get_Lm_dqh = get_Lm_dqh
# cf Methods.Output.LUTdq.get_Phi_dqh_mag
if isinstance(get_Phi_dqh_mag, ImportError):
get_Phi_dqh_mag = property(
fget=lambda x: raise_(
ImportError(
"Can't use LUTdq method get_Phi_dqh_mag: " + str(get_Phi_dqh_mag)
)
)
)
else:
get_Phi_dqh_mag = get_Phi_dqh_mag
# cf Methods.Output.LUTdq.get_Phi_dqh_mag_mean
if isinstance(get_Phi_dqh_mag_mean, ImportError):
get_Phi_dqh_mag_mean = property(
fget=lambda x: raise_(
ImportError(
"Can't use LUTdq method get_Phi_dqh_mag_mean: "
+ str(get_Phi_dqh_mag_mean)
)
)
)
else:
get_Phi_dqh_mag_mean = get_Phi_dqh_mag_mean
# cf Methods.Output.LUTdq.get_Phi_dqh_mean
if isinstance(get_Phi_dqh_mean, ImportError):
get_Phi_dqh_mean = property(
fget=lambda x: raise_(
ImportError(
"Can't use LUTdq method get_Phi_dqh_mean: " + str(get_Phi_dqh_mean)
)
)
)
else:
get_Phi_dqh_mean = get_Phi_dqh_mean
# cf Methods.Output.LUTdq.interp_Phi_dqh
if isinstance(interp_Phi_dqh, ImportError):
interp_Phi_dqh = property(
fget=lambda x: raise_(
ImportError(
"Can't use LUTdq method interp_Phi_dqh: " + str(interp_Phi_dqh)
)
)
)
else:
interp_Phi_dqh = interp_Phi_dqh
# cf Methods.Output.LUTdq.interp_Ploss_dqh
if isinstance(interp_Ploss_dqh, ImportError):
interp_Ploss_dqh = property(
fget=lambda x: raise_(
ImportError(
"Can't use LUTdq method interp_Ploss_dqh: " + str(interp_Ploss_dqh)
)
)
)
else:
interp_Ploss_dqh = interp_Ploss_dqh
# cf Methods.Output.LUTdq.interp_Tem_rip_dqh
if isinstance(interp_Tem_rip_dqh, ImportError):
interp_Tem_rip_dqh = property(
fget=lambda x: raise_(
ImportError(
"Can't use LUTdq method interp_Tem_rip_dqh: "
+ str(interp_Tem_rip_dqh)
)
)
)
else:
interp_Tem_rip_dqh = interp_Tem_rip_dqh
# 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,
Phi_dqh_mean=None,
Phi_dqh_mag=None,
paramexplorer_list=-1,
output_list=-1,
xoutput_dict=-1,
nb_simu=0,
xoutput_ref=None,
xoutput_ref_index=None,
simu=-1,
path_result="",
geo=-1,
elec=-1,
mag=-1,
struct=-1,
post=-1,
logger_name="Pyleecan.Output",
force=-1,
loss=-1,
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 "Phi_dqh_mean" in list(init_dict.keys()):
Phi_dqh_mean = init_dict["Phi_dqh_mean"]
if "Phi_dqh_mag" in list(init_dict.keys()):
Phi_dqh_mag = init_dict["Phi_dqh_mag"]
if "paramexplorer_list" in list(init_dict.keys()):
paramexplorer_list = init_dict["paramexplorer_list"]
if "output_list" in list(init_dict.keys()):
output_list = init_dict["output_list"]
if "xoutput_dict" in list(init_dict.keys()):
xoutput_dict = init_dict["xoutput_dict"]
if "nb_simu" in list(init_dict.keys()):
nb_simu = init_dict["nb_simu"]
if "xoutput_ref" in list(init_dict.keys()):
xoutput_ref = init_dict["xoutput_ref"]
if "xoutput_ref_index" in list(init_dict.keys()):
xoutput_ref_index = init_dict["xoutput_ref_index"]
if "simu" in list(init_dict.keys()):
simu = init_dict["simu"]
if "path_result" in list(init_dict.keys()):
path_result = init_dict["path_result"]
if "geo" in list(init_dict.keys()):
geo = init_dict["geo"]
if "elec" in list(init_dict.keys()):
elec = init_dict["elec"]
if "mag" in list(init_dict.keys()):
mag = init_dict["mag"]
if "struct" in list(init_dict.keys()):
struct = init_dict["struct"]
if "post" in list(init_dict.keys()):
post = init_dict["post"]
if "logger_name" in list(init_dict.keys()):
logger_name = init_dict["logger_name"]
if "force" in list(init_dict.keys()):
force = init_dict["force"]
if "loss" in list(init_dict.keys()):
loss = init_dict["loss"]
# Set the properties (value check and convertion are done in setter)
self.Phi_dqh_mean = Phi_dqh_mean
self.Phi_dqh_mag = Phi_dqh_mag
# Call LUT init
super(LUTdq, self).__init__(
paramexplorer_list=paramexplorer_list,
output_list=output_list,
xoutput_dict=xoutput_dict,
nb_simu=nb_simu,
xoutput_ref=xoutput_ref,
xoutput_ref_index=xoutput_ref_index,
simu=simu,
path_result=path_result,
geo=geo,
elec=elec,
mag=mag,
struct=struct,
post=post,
logger_name=logger_name,
force=force,
loss=loss,
)
# The class is frozen (in LUT init), for now it's impossible to
# add new properties
def __str__(self):
"""Convert this object in a readeable string (for print)"""
LUTdq_str = ""
# Get the properties inherited from LUT
LUTdq_str += super(LUTdq, self).__str__()
LUTdq_str += (
"Phi_dqh_mean = "
+ linesep
+ str(self.Phi_dqh_mean).replace(linesep, linesep + "\t")
+ linesep
+ linesep
)
LUTdq_str += "Phi_dqh_mag = " + str(self.Phi_dqh_mag) + linesep + linesep
return LUTdq_str
def __eq__(self, other):
"""Compare two objects (skip parent)"""
if type(other) != type(self):
return False
# Check the properties inherited from LUT
if not super(LUTdq, self).__eq__(other):
return False
if not array_equal(other.Phi_dqh_mean, self.Phi_dqh_mean):
return False
if other.Phi_dqh_mag != self.Phi_dqh_mag:
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 LUT
diff_list.extend(
super(LUTdq, self).compare(
other, name=name, ignore_list=ignore_list, is_add_value=is_add_value
)
)
if not array_equal(other.Phi_dqh_mean, self.Phi_dqh_mean):
diff_list.append(name + ".Phi_dqh_mean")
if (other.Phi_dqh_mag is None and self.Phi_dqh_mag is not None) or (
other.Phi_dqh_mag is not None and self.Phi_dqh_mag is None
):
diff_list.append(name + ".Phi_dqh_mag None mismatch")
elif self.Phi_dqh_mag is not None:
diff_list.extend(
self.Phi_dqh_mag.compare(
other.Phi_dqh_mag,
name=name + ".Phi_dqh_mag",
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 LUT
S += super(LUTdq, self).__sizeof__()
S += getsizeof(self.Phi_dqh_mean)
S += getsizeof(self.Phi_dqh_mag)
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 LUT
LUTdq_dict = super(LUTdq, self).as_dict(
type_handle_ndarray=type_handle_ndarray,
keep_function=keep_function,
**kwargs
)
if self.Phi_dqh_mean is None:
LUTdq_dict["Phi_dqh_mean"] = None
else:
if type_handle_ndarray == 0:
LUTdq_dict["Phi_dqh_mean"] = self.Phi_dqh_mean.tolist()
elif type_handle_ndarray == 1:
LUTdq_dict["Phi_dqh_mean"] = self.Phi_dqh_mean.copy()
elif type_handle_ndarray == 2:
LUTdq_dict["Phi_dqh_mean"] = self.Phi_dqh_mean
else:
raise Exception(
"Unknown type_handle_ndarray: " + str(type_handle_ndarray)
)
if self.Phi_dqh_mag is None:
LUTdq_dict["Phi_dqh_mag"] = None
else:
LUTdq_dict["Phi_dqh_mag"] = self.Phi_dqh_mag.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
LUTdq_dict["__class__"] = "LUTdq"
return LUTdq_dict
[docs] def copy(self):
"""Creates a deepcopy of the object"""
# Handle deepcopy of all the properties
if self.Phi_dqh_mean is None:
Phi_dqh_mean_val = None
else:
Phi_dqh_mean_val = self.Phi_dqh_mean.copy()
if self.Phi_dqh_mag is None:
Phi_dqh_mag_val = None
else:
Phi_dqh_mag_val = self.Phi_dqh_mag.copy()
if self.paramexplorer_list is None:
paramexplorer_list_val = None
else:
paramexplorer_list_val = list()
for obj in self.paramexplorer_list:
paramexplorer_list_val.append(obj.copy())
if self.output_list is None:
output_list_val = None
else:
output_list_val = list()
for obj in self.output_list:
output_list_val.append(obj.copy())
if self.xoutput_dict is None:
xoutput_dict_val = None
else:
xoutput_dict_val = dict()
for key, obj in self.xoutput_dict.items():
xoutput_dict_val[key] = obj.copy()
nb_simu_val = self.nb_simu
if self.xoutput_ref is None:
xoutput_ref_val = None
else:
xoutput_ref_val = self.xoutput_ref.copy()
xoutput_ref_index_val = self.xoutput_ref_index
if self.simu is None:
simu_val = None
else:
simu_val = self.simu.copy()
path_result_val = self.path_result
if self.geo is None:
geo_val = None
else:
geo_val = self.geo.copy()
if self.elec is None:
elec_val = None
else:
elec_val = self.elec.copy()
if self.mag is None:
mag_val = None
else:
mag_val = self.mag.copy()
if self.struct is None:
struct_val = None
else:
struct_val = self.struct.copy()
if self.post is None:
post_val = None
else:
post_val = self.post.copy()
logger_name_val = self.logger_name
if self.force is None:
force_val = None
else:
force_val = self.force.copy()
if self.loss is None:
loss_val = None
else:
loss_val = self.loss.copy()
# Creates new object of the same type with the copied properties
obj_copy = type(self)(
Phi_dqh_mean=Phi_dqh_mean_val,
Phi_dqh_mag=Phi_dqh_mag_val,
paramexplorer_list=paramexplorer_list_val,
output_list=output_list_val,
xoutput_dict=xoutput_dict_val,
nb_simu=nb_simu_val,
xoutput_ref=xoutput_ref_val,
xoutput_ref_index=xoutput_ref_index_val,
simu=simu_val,
path_result=path_result_val,
geo=geo_val,
elec=elec_val,
mag=mag_val,
struct=struct_val,
post=post_val,
logger_name=logger_name_val,
force=force_val,
loss=loss_val,
)
return obj_copy
def _set_None(self):
"""Set all the properties to None (except pyleecan object)"""
self.Phi_dqh_mean = None
self.Phi_dqh_mag = None
# Set to None the properties inherited from LUT
super(LUTdq, self)._set_None()
def _get_Phi_dqh_mean(self):
"""getter of Phi_dqh_mean"""
return self._Phi_dqh_mean
def _set_Phi_dqh_mean(self, value):
"""setter of Phi_dqh_mean"""
if type(value) is int and value == -1:
value = array([])
elif type(value) is list:
try:
value = array(value)
except:
pass
check_var("Phi_dqh_mean", value, "ndarray")
self._Phi_dqh_mean = value
Phi_dqh_mean = property(
fget=_get_Phi_dqh_mean,
fset=_set_Phi_dqh_mean,
doc=u"""RMS stator winding flux table in dqh frame (including magnets and currents given by I_dqh)
:Type: ndarray
""",
)
def _get_Phi_dqh_mag(self):
"""getter of Phi_dqh_mag"""
return self._Phi_dqh_mag
def _set_Phi_dqh_mag(self, value):
"""setter of Phi_dqh_mag"""
if isinstance(value, str): # Load from file
try:
value = load_init_dict(value)[1]
except Exception as e:
self.get_logger().error(
"Error while loading " + value + ", setting None instead"
)
value = None
if isinstance(value, dict) and "__class__" in value:
class_obj = import_class(
"SciDataTool.Classes", value.get("__class__"), "Phi_dqh_mag"
)
value = class_obj(init_dict=value)
elif type(value) is int and value == -1: # Default constructor
value = DataND()
check_var("Phi_dqh_mag", value, "DataND")
self._Phi_dqh_mag = value
Phi_dqh_mag = property(
fget=_get_Phi_dqh_mag,
fset=_set_Phi_dqh_mag,
doc=u"""RMS stator winding flux linkage spectrum in dqh frame including harmonics (only magnets)
:Type: SciDataTool.Classes.DataND.DataND
""",
)
