# -*- coding: utf-8 -*-
# File generated according to Generator/ClassesRef/Simulation/VarLoad.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/VarLoad
"""
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 .VarSimu import VarSimu
# Import all class method
# Try/catch to remove unnecessary dependencies in unused method
try:
from ..Methods.Simulation.VarLoad.get_ref_simu_index import get_ref_simu_index
except ImportError as error:
get_ref_simu_index = error
try:
from ..Methods.Simulation.VarLoad.get_OP_array import get_OP_array
except ImportError as error:
get_OP_array = error
try:
from ..Methods.Simulation.VarLoad.set_OP_array import set_OP_array
except ImportError as error:
set_OP_array = error
try:
from ..Methods.Simulation.VarLoad._set_OP_matrix import _set_OP_matrix
except ImportError as error:
_set_OP_matrix = error
from numpy import isnan
from ._check import InitUnKnowClassError
[docs]class VarLoad(VarSimu):
"""Abstract class to generate multi-simulation by changing the operating point"""
VERSION = 1
NAME = "Variable Load"
# Check ImportError to remove unnecessary dependencies in unused method
# cf Methods.Simulation.VarLoad.get_ref_simu_index
if isinstance(get_ref_simu_index, ImportError):
get_ref_simu_index = property(
fget=lambda x: raise_(
ImportError(
"Can't use VarLoad method get_ref_simu_index: "
+ str(get_ref_simu_index)
)
)
)
else:
get_ref_simu_index = get_ref_simu_index
# cf Methods.Simulation.VarLoad.get_OP_array
if isinstance(get_OP_array, ImportError):
get_OP_array = property(
fget=lambda x: raise_(
ImportError(
"Can't use VarLoad method get_OP_array: " + str(get_OP_array)
)
)
)
else:
get_OP_array = get_OP_array
# cf Methods.Simulation.VarLoad.set_OP_array
if isinstance(set_OP_array, ImportError):
set_OP_array = property(
fget=lambda x: raise_(
ImportError(
"Can't use VarLoad method set_OP_array: " + str(set_OP_array)
)
)
)
else:
set_OP_array = set_OP_array
# cf Methods.Simulation.VarLoad._set_OP_matrix
if isinstance(_set_OP_matrix, ImportError):
_set_OP_matrix = property(
fget=lambda x: raise_(
ImportError(
"Can't use VarLoad method _set_OP_matrix: " + str(_set_OP_matrix)
)
)
)
else:
_set_OP_matrix = _set_OP_matrix
# 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,
OP_matrix=None,
name="",
desc="",
datakeeper_list=-1,
is_keep_all_output=False,
stop_if_error=False,
var_simu=None,
nb_simu=0,
is_reuse_femm_file=True,
postproc_list=-1,
pre_keeper_postproc_list=None,
post_keeper_postproc_list=None,
is_reuse_LUT=True,
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 "OP_matrix" in list(init_dict.keys()):
OP_matrix = init_dict["OP_matrix"]
if "name" in list(init_dict.keys()):
name = init_dict["name"]
if "desc" in list(init_dict.keys()):
desc = init_dict["desc"]
if "datakeeper_list" in list(init_dict.keys()):
datakeeper_list = init_dict["datakeeper_list"]
if "is_keep_all_output" in list(init_dict.keys()):
is_keep_all_output = init_dict["is_keep_all_output"]
if "stop_if_error" in list(init_dict.keys()):
stop_if_error = init_dict["stop_if_error"]
if "var_simu" in list(init_dict.keys()):
var_simu = init_dict["var_simu"]
if "nb_simu" in list(init_dict.keys()):
nb_simu = init_dict["nb_simu"]
if "is_reuse_femm_file" in list(init_dict.keys()):
is_reuse_femm_file = init_dict["is_reuse_femm_file"]
if "postproc_list" in list(init_dict.keys()):
postproc_list = init_dict["postproc_list"]
if "pre_keeper_postproc_list" in list(init_dict.keys()):
pre_keeper_postproc_list = init_dict["pre_keeper_postproc_list"]
if "post_keeper_postproc_list" in list(init_dict.keys()):
post_keeper_postproc_list = init_dict["post_keeper_postproc_list"]
if "is_reuse_LUT" in list(init_dict.keys()):
is_reuse_LUT = init_dict["is_reuse_LUT"]
# Set the properties (value check and convertion are done in setter)
self.OP_matrix = OP_matrix
# Call VarSimu init
super(VarLoad, self).__init__(
name=name,
desc=desc,
datakeeper_list=datakeeper_list,
is_keep_all_output=is_keep_all_output,
stop_if_error=stop_if_error,
var_simu=var_simu,
nb_simu=nb_simu,
is_reuse_femm_file=is_reuse_femm_file,
postproc_list=postproc_list,
pre_keeper_postproc_list=pre_keeper_postproc_list,
post_keeper_postproc_list=post_keeper_postproc_list,
is_reuse_LUT=is_reuse_LUT,
)
# The class is frozen (in VarSimu init), for now it's impossible to
# add new properties
def __str__(self):
"""Convert this object in a readeable string (for print)"""
VarLoad_str = ""
# Get the properties inherited from VarSimu
VarLoad_str += super(VarLoad, self).__str__()
if self.OP_matrix is not None:
tmp = self.OP_matrix.__str__().replace(linesep, linesep + "\t").rstrip("\t")
VarLoad_str += "OP_matrix = " + tmp
else:
VarLoad_str += "OP_matrix = None" + linesep + linesep
return VarLoad_str
def __eq__(self, other):
"""Compare two objects (skip parent)"""
if type(other) != type(self):
return False
# Check the properties inherited from VarSimu
if not super(VarLoad, self).__eq__(other):
return False
if other.OP_matrix != self.OP_matrix:
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 VarSimu
diff_list.extend(
super(VarLoad, self).compare(
other, name=name, ignore_list=ignore_list, is_add_value=is_add_value
)
)
if (other.OP_matrix is None and self.OP_matrix is not None) or (
other.OP_matrix is not None and self.OP_matrix is None
):
diff_list.append(name + ".OP_matrix None mismatch")
elif self.OP_matrix is not None:
diff_list.extend(
self.OP_matrix.compare(
other.OP_matrix,
name=name + ".OP_matrix",
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 VarSimu
S += super(VarLoad, self).__sizeof__()
S += getsizeof(self.OP_matrix)
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 VarSimu
VarLoad_dict = super(VarLoad, self).as_dict(
type_handle_ndarray=type_handle_ndarray,
keep_function=keep_function,
**kwargs
)
if self.OP_matrix is None:
VarLoad_dict["OP_matrix"] = None
else:
VarLoad_dict["OP_matrix"] = self.OP_matrix.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
VarLoad_dict["__class__"] = "VarLoad"
return VarLoad_dict
[docs] def copy(self):
"""Creates a deepcopy of the object"""
# Handle deepcopy of all the properties
if self.OP_matrix is None:
OP_matrix_val = None
else:
OP_matrix_val = self.OP_matrix.copy()
name_val = self.name
desc_val = self.desc
if self.datakeeper_list is None:
datakeeper_list_val = None
else:
datakeeper_list_val = list()
for obj in self.datakeeper_list:
datakeeper_list_val.append(obj.copy())
is_keep_all_output_val = self.is_keep_all_output
stop_if_error_val = self.stop_if_error
if self.var_simu is None:
var_simu_val = None
else:
var_simu_val = self.var_simu.copy()
nb_simu_val = self.nb_simu
is_reuse_femm_file_val = self.is_reuse_femm_file
if self.postproc_list is None:
postproc_list_val = None
else:
postproc_list_val = list()
for obj in self.postproc_list:
postproc_list_val.append(obj.copy())
if self.pre_keeper_postproc_list is None:
pre_keeper_postproc_list_val = None
else:
pre_keeper_postproc_list_val = list()
for obj in self.pre_keeper_postproc_list:
pre_keeper_postproc_list_val.append(obj.copy())
if self.post_keeper_postproc_list is None:
post_keeper_postproc_list_val = None
else:
post_keeper_postproc_list_val = list()
for obj in self.post_keeper_postproc_list:
post_keeper_postproc_list_val.append(obj.copy())
is_reuse_LUT_val = self.is_reuse_LUT
# Creates new object of the same type with the copied properties
obj_copy = type(self)(
OP_matrix=OP_matrix_val,
name=name_val,
desc=desc_val,
datakeeper_list=datakeeper_list_val,
is_keep_all_output=is_keep_all_output_val,
stop_if_error=stop_if_error_val,
var_simu=var_simu_val,
nb_simu=nb_simu_val,
is_reuse_femm_file=is_reuse_femm_file_val,
postproc_list=postproc_list_val,
pre_keeper_postproc_list=pre_keeper_postproc_list_val,
post_keeper_postproc_list=post_keeper_postproc_list_val,
is_reuse_LUT=is_reuse_LUT_val,
)
return obj_copy
def _set_None(self):
"""Set all the properties to None (except pyleecan object)"""
if self.OP_matrix is not None:
self.OP_matrix._set_None()
# Set to None the properties inherited from VarSimu
super(VarLoad, self)._set_None()
def _get_OP_matrix(self):
"""getter of OP_matrix"""
return self._OP_matrix
OP_matrix = property(
fget=_get_OP_matrix,
fset=_set_OP_matrix,
doc=u"""Operating point matrix object
:Type: OPMatrix
""",
)
