Source code for pyleecan.Classes.LUT

# -*- coding: utf-8 -*-
# File generated according to Generator/ClassesRef/Output/LUT.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 .XOutput import XOutput

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

    from ..Methods.Output.LUT.get_OP_matrix_obj import get_OP_matrix_obj
except ImportError as error:
    get_OP_matrix_obj = error

    from ..Methods.Output.LUT.get_OP_array import get_OP_array
except ImportError as error:
    get_OP_array = error

    from ..Methods.Output.LUT.set_default_simulation import set_default_simulation
except ImportError as error:
    set_default_simulation = error

    from ..Methods.Output.LUT.get_phase_dir import get_phase_dir
except ImportError as error:
    get_phase_dir = error

from numpy import isnan
from ._check import InitUnKnowClassError

[docs]class LUT(XOutput): """Abstract class for Look Up Table (LUT)""" VERSION = 1 # Check ImportError to remove unnecessary dependencies in unused method # cf Methods.Output.LUT.get_eec if isinstance(get_eec, ImportError): get_eec = property( fget=lambda x: raise_( ImportError("Can't use LUT method get_eec: " + str(get_eec)) ) ) else: get_eec = get_eec # cf Methods.Output.LUT.get_OP_matrix_obj if isinstance(get_OP_matrix_obj, ImportError): get_OP_matrix_obj = property( fget=lambda x: raise_( ImportError( "Can't use LUT method get_OP_matrix_obj: " + str(get_OP_matrix_obj) ) ) ) else: get_OP_matrix_obj = get_OP_matrix_obj # cf Methods.Output.LUT.get_OP_array if isinstance(get_OP_array, ImportError): get_OP_array = property( fget=lambda x: raise_( ImportError("Can't use LUT method get_OP_array: " + str(get_OP_array)) ) ) else: get_OP_array = get_OP_array # cf Methods.Output.LUT.set_default_simulation if isinstance(set_default_simulation, ImportError): set_default_simulation = property( fget=lambda x: raise_( ImportError( "Can't use LUT method set_default_simulation: " + str(set_default_simulation) ) ) ) else: set_default_simulation = set_default_simulation # cf Methods.Output.LUT.get_phase_dir if isinstance(get_phase_dir, ImportError): get_phase_dir = property( fget=lambda x: raise_( ImportError("Can't use LUT method get_phase_dir: " + str(get_phase_dir)) ) ) else: get_phase_dir = get_phase_dir # 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, 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 "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) # Call XOutput init super(LUT, 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 XOutput init), for now it's impossible to # add new properties def __str__(self): """Convert this object in a readeable string (for print)""" LUT_str = "" # Get the properties inherited from XOutput LUT_str += super(LUT, self).__str__() return LUT_str def __eq__(self, other): """Compare two objects (skip parent)""" if type(other) != type(self): return False # Check the properties inherited from XOutput if not super(LUT, 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 XOutput diff_list.extend( super(LUT, 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 XOutput S += super(LUT, 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 XOutput LUT_dict = super(LUT, 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 LUT_dict["__class__"] = "LUT" return LUT_dict
[docs] def copy(self): """Creates a deepcopy of the object""" # Handle deepcopy of all the properties 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)( 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)""" # Set to None the properties inherited from XOutput super(LUT, self)._set_None()