Source code for pyleecan.Classes.LUTdq

# -*- 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

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 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
    from ..Methods.Output.LUTdq.get_index_open_circuit import get_index_open_circuit
except ImportError as error:
    get_index_open_circuit = error

    from ..Methods.Output.LUTdq.get_L_dqh import get_L_dqh
except ImportError as error:
    get_L_dqh = error

    from ..Methods.Output.LUTdq.get_Lm_dqh import get_Lm_dqh
except ImportError as error:
    get_Lm_dqh = error

    from ..Methods.Output.LUTdq.get_Phi_dqh_mag import get_Phi_dqh_mag
except ImportError as error:
    get_Phi_dqh_mag = error

    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

    from ..Methods.Output.LUTdq.get_Phi_dqh_mean import get_Phi_dqh_mean
except ImportError as error:
    get_Phi_dqh_mean = error

    from ..Methods.Output.LUTdq.interp_Phi_dqh import interp_Phi_dqh
except ImportError as error:
    interp_Phi_dqh = error

    from ..Methods.Output.LUTdq.interp_Ploss_dqh import interp_Ploss_dqh
except ImportError as error:
    interp_Ploss_dqh = error

    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( 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 is None: post_val = None else: post_val = 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 """, )